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1
Treu, Johannes. "FinTech, General Purpose Technology und Wohlfahrt." IU Discussion Papers Business und Management 2, no. 5 (2022): 2. https://doi.org/10.56250/3619.
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FinTech is said to have promising effects. The consideration that arises is whether this new form is a special kind of technology that affects an entire economy and has the potential to change societies through its impact on existing economic and social structures. Thus, the question arises whether FinTech can be characterized as general-purpose technology (GPT)? This is followed by the second question: What is the impact of FinTech at the aggregate level and as a potential GPT on aggregate economic welfare? Using two different GPT definitions and characteristics, we show how FinTech can be characterized as a GPT. In the second part, an analytical framework is used to show that FinTech increases welfare as a positive supply shock.
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Marku, Elona, Manuel Castriotta, Michela Loi, and Maria Chiara Di Guardo. "General Purpose Technology: The Blockchain Domain." International Journal of Business and Management 15, no. 11 (2020): 192. http://dx.doi.org/10.5539/ijbm.v15n11p192.
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Blockchain is an emerging evolutionary paradigm that is expected to revolutionize existing business models in many industries and impact the world economy and society. Its potential pervasiveness is increasingly drawing the interest of academics, practitioners, firms, financial institutions, and national governments, who define it as a general purpose technology (GPT). Although it may take considerable time to affirm a technology as general, in this phase of the evolution of the blockchain domain, to what extent can it be considered a GPT? By adopting a patent co-classifications analysis, this paper aims at disentangling the blockchain technology structure, evolution, and potential future trends. We analyzed blockchain international patents issued from 2008 to 2018. Results showed a proliferation of the inventive activity outputs and a significant increase in the diversification across different technology fields, capturing the blockchain’s GPT traits. Moreover, our patent measures detected technology dynamics related to ‘space for improvement’ and ‘pervasiveness’ that commonly characterize GPTs. Our study contributes to the technology innovation literature by uncovering the emergence and evolutionary path of a GPT, and our results provide an empirical basis on which managers can build technology-related decisions and systems to enable appropriate firms’ innovation strategies.
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Fadziso, Takudzwa. "Artificial Intelligence as General Purpose Technology: A Conceptual Framework." Asian Journal of Applied Science and Engineering 5, no. 1 (2016): 197–206. http://dx.doi.org/10.18034/ajase.v5i1.79.
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Artificial intelligence (AI) and its many potential applications 1 will become a fast-growing industry 2, and many predict that it will completely change the way we live and work. Microsoft co-founder Bill Gates said AI is "on the verge of making our lives more productive and creative." From the economic perspective, 54% of EU jobs, according to research, and 375 million world jobs will be affected by AI automation. This paper aims to test whether AI will emerge as General Purpose Technology (GPT). Historical dissemination of GPT to model the potential impact on the UK economy, especially with regard to productivity 5 and employment.
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Takudzwa, Fadziso. "Artificial Intelligence as General Purpose Technology: A Conceptual Framework." Asian Journal of Applied Science and Engineering 5, no. 3 (2016): 197–206. https://doi.org/10.5281/zenodo.4388479.
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Artificial intelligence (AI) and its many potential applications 1 will become a fast-growing industry 2, and many predict that it will completely change the way we live and work. Microsoft co-founder Bill Gates said AI is "on the verge of making our lives more productive and creative." From an economic perspective, 54% of EU jobs, according to research, and 375 million world jobs will be affected by AI automation. This paper aims to test whether AI will emerge as General Purpose Technology (GPT). Historical dissemination of GPT to model the potential impact on the UK economy, especially with regard to productivity 5 and employment.
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Basu, Susanto, and John Fernald. "Information and Communications Technology as a General-Purpose Technology: Evidence from US Industry Data." German Economic Review 8, no. 2 (2007): 146–73. http://dx.doi.org/10.1111/j.1468-0475.2007.00402.x.
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Abstract Many people point to information and communications technology (ICT) as the key for understanding the acceleration in productivity in the United States since the mid-1990s. Stories of ICT as a ‘general-purpose technology’ suggest that measured total factor productivity (TFP) should rise in ICT-using sectors (reflecting either unobserved accumulation of intangible organizational capital; spillovers; or both), but with a long lag. Contemporaneously, however, investments in ICT may be associated with lower TFP as resources are diverted to reorganization and learning. We find that US industry results are consistent with general-purpose technology (GPT) stories: the acceleration after the mid-1990s was broad-based - located primarily in ICT-using industries rather than ICT-producing industries. Furthermore, industry TFP accelerations in the 2000s are positively correlated with (appropriately weighted) industry ICT capital growth in the 1990s. Indeed, as GPT stories would suggest, after controlling for past ICT investment, industry TFP accelerations are negatively correlated with increases in ICT usage in the 2000s.
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Wan, Yingliang, Hong Tao, Yiheng Zhao, and Liqian Huang. "The Economic Impact of Artificial Intelligence as a General Purpose Technology and Its Innovations in Economic Research." International Journal of Computer Science and Information Technology 5, no. 1 (2025): 22–34. https://doi.org/10.62051/ijcsit.v5n1.03.
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Artificial Intelligence (AI) is rapidly becoming a key driver of modern economic development, with its impact spanning multiple facets of both microeconomic and macroeconomic levels. At the microeconomic level, AI significantly alters consumer behavior and business operations by enhancing individual decision-making efficiency and optimizing internal corporate management. Simultaneously, as a General Purpose Technology (GPT), AI fosters productivity improvements, industrial structure transformations, and the emergence of new growth drivers at the macroeconomic level. This study systematically analyzes the application of AI across different economic agents, exploring its profound effects on the labor market, industrial organization, and innovation ecosystems.
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P., S. Aithal, and Aithal Shubhrajyotsna. "Study of Various General-Purpose Technologies and Their Comparison Towards Developing Sustainable Society." International Journal of Management, Technology, and Social Sciences (IJMTS) 3, no. 2 (2018): 16–33. https://doi.org/10.5281/zenodo.1409476.
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Technology is used in many ways to solve many complicated challenges in the society. Certain technologies have grown and expanded their branches to many areas and sectors of practice in such a way that they have been designated as General-Purpose Technologies. General Purpose Technologies’ (GPT) are characterized by pervasiveness where they have an inherent potential for technical improvements, and innovation complementarities, meaning that the productivity through research and development in related sectors increases due to the consequence of innovative applications through such general-purpose technologies. Thus, as general-purpose technologies progress, they spread throughout the economy, eventually bringing about generalized productivity gains. Examples include the steam engine, railroad, interchangeable parts, electricity, electronics, materialhandling, mechanization, control theory (automation), the automobile, the computer, the Internet, and nanotechnology. In this paper, we have identified, analysed, and compared Information Communication and Computation Technology (ICCT), and Nanotechnology (NT) as two most important general-purpose technologies due to their abilities to solve both basic problems and advanced need of the society. The paper also contains a conceptual and predictive proposal on how various general-purpose technologies including ICCT and NT are potentially contributing towards creating a techno-society and based on further progress and spread of such technologies to every dimension of human life to reach the ultimate level of civilization in or around this earth. The analysis finally leads to the development of the concept of ‘Universal Technology’ model.
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Dziembała, Małgorzata, and Sylwia Talar. "Bank maturity, income diversification, and bank stability." Journal of Business Economics and Management 22, no. 6 (2021): 1512–30. http://dx.doi.org/10.3846/jbem.2021.15324.
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The aim of the paper is to answer the overriding question what is the role of ICT in implementation of smart specialization (SS) in EU regions (NUTS2 level)? This role can be dual and ICT is considered in this study both as an invention which has led to the emergence of new sector, and from the perspective of general purpose technology (GPT) properties where ICT plays the role of input in innovation process. There are used following methods and techniques: desk research, descriptive statistical analysis, the correlation measure and Hellwig’s method of taxonomic analysis. The main findings indicate that in practice SS in ICT is not focused on development ICT as invention and is not based on readiness to usage of ICT as GPT. However, the abilities of regions to take advantage of ICT as a driver of innovation (as GPT) are materially related to specialization in the ICT sector (development ICT as invention). The findings bring some improvements by evidence-based policy making. The research contribute to the better understanding of the innovation determinants during digital transformation and especially the base of specialization in ICT as GPT under SS assumptions.
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Крупський, Олександр Петрович, Валерія Валеріївна Воробйова та Юлія Михайлівна Стасюк. "ПЕРСПЕКТИВИ ВИКОРИСТАННЯ ЧАТ GPT У МАРКЕТИНГУ". TIME DESCRIPTION OF ECONOMIC REFORMS, № 3 (7 листопада 2023): 89–97. http://dx.doi.org/10.32620/cher.2023.3.11.
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Modern marketing requires effective tools to attract and retain customers, as well as improve communication with the audience. In this context, the use of artificial intelligence, in particular, ChatGPT (Generative Pre-trained Transformer), can be a promising innovative solution. However, the conclusions about the potential benefits and limitations of using ChatGPT in marketing are ambiguous, due to the little experience gained in this area. The purpose of the study is to assess the potential of using ChatGPT in marketing strategies, to study the opportunities and challenges it presents for improving the efficiency of communication with customers and brand development. The methodological basis of the study is based on modern research on marketing and artificial intelligence and analysis of the results of using ChatGPT in real marketing campaigns. The main hypothesis of the study is the assumption that the use of ChatGPT in marketing can improve the quality of customer service, increase brand engagement, and increase customer loyalty. Summary of the main research material. The study examines the results of using ChatGPT in marketing strategies, in particular in online communications, especially in areas where personal interaction with customers is important. The working hypotheses were confirmed based on the analysis of data and information collected during the study. Possible limitations and challenges related to the implementation of ChatGPT in marketing practices were identified. The originality and practical significance of the study lies in the fact that the analysis helped to reveal the potential of using ChatGPT in marketing strategies and made it possible to formulate recommendations on the optimal use of this technology to attract and retain customers. Conclusions and prospects for further research. The conducted research allowed us to state that the use of ChatGPT in marketing contributes to increasing the efficiency of marketing activities of the enterprise in general and improving communications with customers in particular. Further research may include the development of new algorithms and strategies for the optimal use of artificial intelligence in marketing.
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Osipov, Mikhail. "On the issue of the features and problems of using Chat GPT as artificial intelligence in jurisprudence." Advances in Law Studies 12, no. 1 (2024): 26–30. http://dx.doi.org/10.29039/2409-5087-2024-12-1-26-30.
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The subject of research in this article is the features and patterns of legal activity in comparison with the features and patterns of functioning of artificial intelligence systems, including systems based on Chat GPT technology. The purpose of the study is to analyze the features and patterns of legal activity, the features and patterns of functioning of artificial intelligence systems, including systems based on the Chat GPT technology, compare these patterns, and based on the comparison of these patterns, draw a conclusion about the degree applicability of artificial intelligence technologies for solving a particular class of legal problems. Research methods include the social experiment method, when Chat GPT was asked certain questions of a legal nature, answers to them were received and analyzed. Also during the study, general scientific research methods were used, such as analysis, synthesis, deduction, abstraction, generalization. These research methods were used to reveal the features and patterns of legal activity, the features and patterns of the functioning of artificial intelligence systems, as well as to draw conclusions about the degree of applicability of artificial intelligence technologies for solving a particular class of problems in jurisprudence.
 During the study, it was found that artificial intelligence technologies based on Chat GPT in some cases are not very suitable for solving problems related to the application of legal norms to specific situations, due to the specific “thinking” of artificial intelligence systems, which in some cases does not allow one to distinguish so-called legal circumstances that are significant in a given situation, from legal circumstances that are not significant in a given situation, the inability in some cases to correctly qualify the legal relations of the parties and make the correct legal decision with reference to current legislation. The study also analyzed the capabilities of artificial intelligence based on Chat GPT technologies for solving problems in the field of lawmaking, application and interpretation of legal norms. It is concluded that in these areas, artificial intelligence technologies, including those based on Chat GPT, have a certain potential, provided that the associative connection built by artificial intelligence between the elements of legal reality contained in the texts corresponds to the ontological connection between the objects of legal reality.
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НАТАЛЬСОН А.В., НАТАЛЬСОН А. В., and ХАБИБРАХМАНОВА А. И. ХАБИБРАХМАНОВА А.И. "IMPACT OF MODERN DIGITAL TECHNOLOGIES ON THE EFFICIENCY OF ENTERPRISES IN THE ENERGY INDUSTRY." Экономика и предпринимательство, no. 3(164) (June 20, 2024): 840–43. http://dx.doi.org/10.34925/eip.2024.164.3.161.
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В данной статье рассматривается влияние современных цифровых технологий на эффективность предприятий энергетической отрасли. Автор описывает различные технологии, такие как искусственный интеллект, интернет вещей, робототехника, облачные вычисления и технологию блокчейн, их применение и потенциальное влияние на эффективность предприятий энергетического сектора. Особое внимание уделяется концепции технологии общего назначения (GPT) и ее связи с развивающимися цифровыми технологиями, в особенности с искусственным интеллектом. Автор подчеркивает важность понимания и оценки влияния цифровых технологий на энергетическую отрасль, а также необходимость дальнейших исследований в этой области. This article discusses the impact of modern digital technologies on the efficiency of enterprises in the energy sector. The author describes various technologies such as artificial intelligence, internet of things, robotics, cloud computing and blockchain technology, their application and potential impact on the efficiency of energy sector enterprises. Special attention is given to the concept of general purpose technology (GPT) and its relationship with emerging digital technologies, especially artificial intelligence. The author emphasizes the importance of understanding and assessing the impact of digital technologies on the energy industry and the need for further research in this area.
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Megawati, Ruth, Hanida Listiani, Nuridin Widya Pranoto, Maik Akobiarek, and Ruth Rize Paas Megahati S. "Role of GPT Chat in Writing Scientific Articles: A Systematic Literature Review." Jurnal Penelitian Pendidikan IPA 9, no. 11 (2023): 1078–84. http://dx.doi.org/10.29303/jppipa.v9i11.5559.
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In general, the purpose of writing articles is to influence, educate, inform, convince, and entertain readers. Articles are usually published in media, such as bulletins, magazines, newspapers, or websites. Artificial intelligence is used to make scientific articles easier, namely GPT chat. The research aims to explain the role of GPT chat in writing scientific articles. A review is conducted on the state-of-the-art methods using the preferred reporting items for reviews and meta-analyses (PRISMA) guidelines. The results of this research examine that scientific articles themselves also consist of several types, namely research articles, non-research articles or review papers, and book reviews and obituaries. This open technology has several useful benefits for carrying out various daily tasks, namely: As a problem solver, answering difficult questions, completing math assignments and even essays, drafting articles, providing information, becoming a virtual assistant, working on coding, and helping customers. Service, Providing Suggestions, How to use chatGpt to write scientific articles starting from Preparing Research Materials, Brainstorming or Brainstorming sessions with ChatGPT, Conducting a literature review, Summarizing Research Articles, Gaps in the literature, Data analysis, Drawing outlines of Scientific Research papers, Editing and correcting scientific research, and Determine scientific research questions and edit and correct scientific research.
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Essa, Alfred. "The Future of Postsecondary Education in the Age of AI." Education Sciences 14, no. 3 (2024): 326. http://dx.doi.org/10.3390/educsci14030326.
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This paper examines a possible future for postsecondary education in the age of AI. The consensus view among economists is that AI is a general purpose technology (GPT), similar to the steam engine, electricity, and the internet. As a GPT, AI will be the main driver of innovation for the foreseeable future in most sectors of the economy, including education. As AI evolves, it holds the promise of fundamentally redefining the educational landscape, influencing not only current practices in institutional management and pedagogy but also shaping future trends in learning, evaluation, and accreditation. While traditional college-aged students have received significant attention in educational studies, this paper emphasizes the needs of adult learners as lifelong learners and explores how AI-driven innovations can enhance their educational experiences, offering personalized and flexible learning solutions. This paper also argues that a dramatic breakthrough is needed in the cost–value equation for education to support workforce development and lifelong learning.
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Wang, Li Hung, Shi Ming Hu, and Zi Quan Dong. "Artificial Intelligence Technology, Task Attribute and Occupational Substitutable Risk: Empirical Evidence from the Micro-level." Journal of Management World 2023, no. 1 (2023): 60–70. http://dx.doi.org/10.53935/jomw.v2023i1.232.
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Artificial intelligence (AI) technology has emerged as a new general-purpose technology (GPT) in recent years. However, the impact of AI technology on firm productivity, employment, and workforce composition is not well understood. This study uses a micro-level panel dataset of Taiwanese electronics firms, which are listed on the Taiwan Stock Exchange (TSE) or the Over-the-Counter (OTC) market for the period 2002-2018. We employ the keyword-matching method to identify AI-related patent classifications, used patents capturing AI innovations, and match-listed electronics firms to AI patents to construct a panel dataset. Empirical estimations illustrated that AI technology is significantly and positively associated with firm productivity. We also adopt various techniques of the generalized method of moments (GMM) for the dynamic panel data model to deal with endogeneity and obtain similar results. Our analyses may yield useful implications for R&D and labor policies. We also describe how our measures can be useful to researchers and policy‐makers interested in identifying the effect of AI on markets.
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Kolawole, A. Oloke, Enyiorji Prince, and Tsambatare Tsungai. "The Impact of AI on Real-Time Payments (RTP) for Small and Medium-Scale Enterprises' Performance in the United States of America." World Journal of Advanced Research and Reviews 23, no. 3 (2024): 1526–43. https://doi.org/10.5281/zenodo.14945827.
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This study evaluated the impact of Ai on real time payment (RTP) for small and medium scale enterprises performance in United States of America with the aim of answering the research questions on how AI technologies adopted by US SMEs have facilitated access of payment rate, the extent at which AI technology impact the performance of US SMEs using a literature review approach. Findings from the analysed data confirmed that the rate of digital payments transactions in the US is growing on a fast rate which was also confirmed by recent empirical studies conducted after 2020 period stressing that the adoption of AI technologies by U.S. SMEs significantly impacts their access to payment rates particularly during the periods after the pandemic. This study also revealed that the impact of AI on the performance of SMEs in the United State appears to be unstable with the sampled periods of 2019 to 2024 with larger percentage of the sampled respondents in 2024 indicating that their business was in a favourable condition. On the final note, the findings revealed that the integration of artificial intelligence (AI) technology significantly enhances risk management for small and medium-sized enterprises (SMEs) in the US majorly in terms of influencing informed decision making, operational efficiency and response to market fluctuations. This study thereby recommended that SMEs in US should keep adopting AI technology for transaction processing, decision making, market forecast, fraud detection, compliance processes, credit risk management, data quality monitoring and operational resilience.
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Wang, Yonggu, Zeyu Yu, Zihan Wang, Zengyi Yu, and Jue Wang. "Multi-Examiner: A Knowledge Graph-Driven System for Generating Comprehensive IT Questions with Higher-Order Thinking." Applied Sciences 15, no. 10 (2025): 5719. https://doi.org/10.3390/app15105719.
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The question generation system (QGS) for information technology (IT) education, designed to create, evaluate, and improve Multiple-Choice Questions (MCQs) using knowledge graphs (KGs) and large language models (LLMs), encounters three major needs: ensuring the generation of contextually relevant and accurate distractors, enhancing the diversity of generated questions, and balancing the higher-order thinking of questions to match various learning levels. To address these needs, we proposed a multi-agent system named Multi-Examiner, which integrates KGs, domain-specific search tools, and local knowledge bases, categorized according to Bloom’s taxonomy, to enhance the contextual relevance, diversity, and higher-order thinking of automatically generated information technology MCQs. Our methodology employed a mixed-methods approach combining system development with experimental evaluation. We first constructed a specialized architecture combining knowledge graphs with LLMs, then implemented a comparative study generating questions across six knowledge points from K-12 Computer Science Standard. We designed a multidimensional evaluation rubric to assess the semantic coherence, answer correctness, question validity, distractor relevance, question diversity, and higher-order thinking, and conducted a statistical analysis of ratings provided by 30 high school IT teachers. Results showed statistically significant improvements (p < 0.01) with Multi-Examiner outperforming GPT-4 by an average of 0.87 points (on a 5-point scale) for evaluation-level questions and 1.12 points for creation-level questions. The results demonstrated that: (i) overall, questions generated by the Multi-Examiner system outperformed those generated by GPT-4 across all dimensions and closely matched the quality of human-crafted questions in several dimensions; (ii) domain-specific search tools significantly enhanced the diversity of questions generated by Multi-Examiner; and (iii) GPT-4 generated better questions for knowledge points at the “remembering” and “understanding” levels, while Multi-Examiner significantly improved the higher-order thinking of questions for the “evaluating” and “creating” levels. This study contributes to the growing body of research on AI-supported educational assessment by demonstrating how specialized knowledge structures can enhance automated generation of higher-order thinking questions beyond what general-purpose language models can achieve.
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Kaufman, Dora. "Logic and foundations of artificial intelligence and society's reactions to maximize benefits and mitigate harm." Filosofia Unisinos 25, no. 1 (2024): 1–13. http://dx.doi.org/10.4013/fsu.2024.251.10.
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Artificial intelligence is a general-purpose technology (GPT), term given to technologies that shape an entire era and reorient innovations by reconfiguring the economy’s logic and functioning and bringing in new business models. AI offers unprecedented opportunities and risks. The benefits of AI are extraordinary, as are its potential harms. Potential damage does not have the same degree of problematization, since the intensity and extent of the damage varies according to the domain and the object of application. To address the scale of this challenge, regulation is necessary but not sufficient. Standards, unwritten codes of compliance and arbitration procedures, supervision and auditability, AI governance, international agreements, compliance with current local and global standards and laws. All of this needs to be integrated. Society seems to have no alternative to facing the challenges of at least mitigating the damage already identified and trying to predict future damage in advance. The purpose of this article is to encourage reflection regarding the main initiatives that are available to society to protect its citizens and organizations from the potential harm caused by AI models, vis-à-vis the technology’s own limits to act in ethical and legal compliance.
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Lee, Hyo-Sub, and Ho-Seok Shim. "A Study on ML-Based Metaverse Platform Advanced Model Design." Korea Industrial Technology Convergence Society 28, no. 4 (2023): 145–51. http://dx.doi.org/10.29279/jitr.2023.28.4.145.
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Metaverse is a space where communication and interaction similar to those in the real world are possible and new experiences can be pursued through the provision of various contents and services. Owing to the recent advancements in the application of artificial intelligence (AI), Metaverse is expected to expand. The convergence of metaverse and AI overcomes the limitations of communication, resolves difficulties in creating space, and maximizes the use of internal and external data. In this study, we present the status of existing studies implemented within the Metaverse Platform virtual campus of Korea Polytechnic and the design of an advanced model that enhances interaction using machine learning such as the latest GPT technology and LLM. We propose to provide an LLM-based interactive internal information search service to improve the user environment by efficiently utilizing internal data and communicating in natural language. In future studies, we will focus on the detailed design of domain data capable of general-purpose services and implementation of the advanced model designed in this study. Thereafter, we intend to design and construct our own reliable LLM model and perform performance evaluation through with external LLM models.
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Abdoullaev, Azamat. "Trans-AI: How to Build True AI or Real Machine Intelligence and Learning." Ontology of Designing 11, no. 4 (2021): 402–21. http://dx.doi.org/10.18287/2223-9537-2021-11-4-402-421.
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We are at the edge of colossal changes. This is a critical moment of historical choice and opportunity. It could be the best 5 years ahead of us that we have ever had in human history or one of the worst, because we have all the power, technology and knowledge to create the most fundamental general-purpose technology (GPT), which could completely upend the whole human history. The most im-portant GPTs were fire, the wheel, language, writing, the printing press, the steam engine, electric power, information and telecommunications technology, all to be topped by real artificial intelligence technology. Our study refers to Why and How the Real Machine Intelligence or True AI or Real Su-perintelligence (RSI) could be designed and developed, deployed and distributed in the next 5 years. The whole idea of RSI took about three decades in three phases. The first conceptual model of Trans-AI was published in 1989. It covered all possible physical phenomena, effects and processes. The more extended model of Real AI was developed in 1999. A complete theory of superintelligence, with its reality model, global knowledge base, NL programing language, and master algorithm, was presented in 2008. The RSI project has been finally completed in 2020, with some key findings and discoveries being published on the EU AI Alliance/Futurium site in 20+ articles. The RSI features a unifying World Metamodel (Global Ontology), with a General Intelligence Framework (Master Algo-rithm), Standard Data Type Hierarchy, NL Programming Language, to effectively interact with the world by intelligent processing of its data, from the web data to the real-world data. The basic results with technical specifications, classifications, formulas, algorithms, designs and patterns, were kept as a trade secret and documented as the Corporate Confidential Report: How to Engineer Man-Machine Superintelligence 2025. As a member of EU AI Alliance, the author has proposed the Man-Machine RSI Platform as a key part of Transnational EU-Russia Project. To shape a smart and sustainable fu-ture, the world should invest into the RSI Science and Technology, for the Trans-AI paradigm is the way to an inclusive, instrumented, interconnected and intelligent world.
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P., S. Aithal. "How to Create Business Value Through Technological Innovations Using ICCT Underlying Technologies." International Journal of Applied Engineering and Management Letters (IJAEML) 7, no. 2 (2023): 232–92. https://doi.org/10.5281/zenodo.8136520.
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<strong>Purpose: </strong><em>Organizations are struggling to sustain and grow in the 21<sup>st</sup> century due to many challenges and uncertainties while doing their business. Long-term sustaining in the business needs retaining the existing customers and attracting new customers through various strategies for satisfying, delighting, and enlightening existing customers, and creating overwhelming demand through business value creation for attracting new customers. It is a challenge for all the decision-makers to find out how to create business value to retain existing customers and attract new customers. Here, a conceptual and exploratory analysis is made of how the innovations using technology create business value for organizations in general. </em> <strong>Methodology: </strong><em>This conceptual analysis uses an exploratory research method. The information is collected using Google, Google Scholar, and Artificial Intelligence GPT search engines using appropriate keywords and prompt engineering respectively and the collected, analysed, compared, evaluated, and interpreted towards creating business value using technology with special emphasis on the use of ICCT underlying technologies. The advantages, benefits, constraints, and disadvantages of business value creation using ICCT underlying technologies for business value creation are listed from stakeholders’ points of view. </em> <strong>Outcome: </strong><em>The role of twelve ICCT Underlying Technologies including AI, Blockchain, Business intelligence, Cloud computing, Cyber security, 3D printing, IoT, Quantum computing, Mobile marketing, Information storage technology, Ubiquitous education technology, and VR & AR for Business Value Creation like </em><em>Innovation and Differentiation, Customer focus, Operational efficiency, Strategic Partnerships and Alliances, Talent Management, Effective Marketing and Branding, Financial Performance and Growth, Sustainability and Corporate Social Responsibility, and Adaptability and Agility.</em> <strong>Originality & Value: </strong><em>New knowledge and interpretation are presented on how to create business value for long time sustainability by organizations in every industry.</em> <strong>Type o Paper: </strong>Exploratory Research Analysis
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P., S. Aithal. "How to Create Business Value Through Technological Innovations Using ICCT Underlying Technologies." International Journal of Applied Engineering and Management Letters (IJAEML) 7, no. 2 (2023): 232–92. https://doi.org/10.5281/zenodo.8153446.
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<strong>Purpose: </strong><em>Organizations are struggling to sustain and grow in the 21<sup>st</sup> century due to many challenges and uncertainties while doing their business. Long-term sustaining in the business needs retaining the existing customers and attracting new customers through various strategies for satisfying, delighting, and enlightening existing customers, and creating overwhelming demand through business value creation for attracting new customers. It is a challenge for all the decision-makers to find out how to create business value to retain existing customers and attract new customers. Here, a conceptual and exploratory analysis is made of how the innovations using technology create business value for organizations in general. </em> <strong>Methodology: </strong><em>This conceptual analysis uses an exploratory research method. The information is collected using Google, Google Scholar, and Artificial Intelligence GPT search engines using appropriate keywords and prompt engineering respectively and the collected, analysed, compared, evaluated, and interpreted towards creating business value using technology with special emphasis on the use of ICCT underlying technologies. The advantages, benefits, constraints, and disadvantages of business value creation using ICCT underlying technologies for business value creation are listed from stakeholders’ points of view. </em> <strong>Outcome: </strong><em>The role of twelve ICCT Underlying Technologies including AI, Blockchain, Business intelligence, Cloud computing, Cyber security, 3D printing, IoT, Quantum computing, Mobile marketing, Information storage technology, Ubiquitous education technology, and VR & AR for Business Value Creation like </em><em>Innovation and Differentiation, Customer focus, Operational efficiency, Strategic Partnerships and Alliances, Talent Management, Effective Marketing and Branding, Financial Performance and Growth, Sustainability and Corporate Social Responsibility, and Adaptability and Agility.</em> <strong>Originality/Value: </strong><em>New knowledge and interpretation are presented on how to create business value for long time sustainability by organizations in every industry.</em> <strong>Type o Paper: </strong>Exploratory Research Analysis
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Wang, Danshi, Yidi Wang, Xiaotian Jiang, Yao Zhang, Yue Pang, and Min Zhang. "When Large Language Models Meet Optical Networks: Paving the Way for Automation." Electronics 13, no. 13 (2024): 2529. http://dx.doi.org/10.3390/electronics13132529.
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Since the advent of GPT, large language models (LLMs) have brought about revolutionary advancements in all walks of life. As a superior natural language processing (NLP) technology, LLMs have consistently achieved state-of-the-art performance in numerous areas. However, LLMs are considered to be general-purpose models for NLP tasks, which may encounter challenges when applied to complex tasks in specialized fields such as optical networks. In this study, we propose a framework of LLM-empowered optical networks, facilitating intelligent control of the physical layer and efficient interaction with the application layer through an LLM-driven agent (AI-Agent) deployed in the control layer. The AI-Agent can leverage external tools and extract domain knowledge from a comprehensive resource library specifically established for optical networks. This is achieved through user input and well-crafted prompts, enabling the generation of control instructions and result representations for autonomous operation and maintenance in optical networks. To improve LLM’s capability in professional fields and stimulate its potential on complex tasks, the details of performing prompt engineering, establishing domain knowledge library, and implementing complex tasks are illustrated in this study. Moreover, the proposed framework is verified on two typical tasks: network alarm analysis and network performance optimization. The good response accuracies and semantic similarities of 2400 test situations exhibit the great potential of LLM in optical networks.
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Mahmood, Basheera Mohammed Ridha, Mohammed Isam Younis, and Hamid Mohammed Ali. "Construction of a General-Purpose Infrastructure for Rfid – Based Applications." Journal of Engineering 19, no. 11 (2023): 1425–41. http://dx.doi.org/10.31026/j.eng.2013.11.06.
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The aim of advancements in technologies is to increase scientific development and get the overall human satisfaction and comfortability. One of the active research area in recent years that addresses the above mentioned issues, is the integration of radio frequency identification (RFID) technology into network-based systems. Even though, RFID is considered as a promising technology, it has some bleeding points. This paper identifies seven intertwined deficiencies, namely: remote setting, scalability, power saving, remote and concurrent tracking, reusability, automation, and continuity in work. This paper proposes the construction of a general purpose infrastructure for RFID-based applications (IRFID) to tackle these deficiencies. Finally, the proposed IRFID is compared against eight existing systems. As a result, IRFID can be considered as a prototype for the futuristic with flexibility and generality in a wide-range of automation and development areas.
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Shirodkar, Sailee S., Atharv N. Raotole, and Prof Chandrashekhar R. Gajbhiye. "The AI Galaxy: A Comparative Study of Cutting-Edge AI Technology." International Journal for Research in Applied Science and Engineering Technology 11, no. 9 (2023): 1010–17. http://dx.doi.org/10.22214/ijraset.2023.55792.
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Abstract: The world of artificial intelligence (AI) has evolved into a vast array of technologies. The purpose of this paper is to explore a range of AI models and products, including GPT-4, GPT4-0613, GPT-3.5-Turbo, GPT-3.5-Turbo-0613, Claude-1, Claude-2, Claude-Instant-1, GPT-4-32K, GPT-4-32K-0613, GPT-3.5-Turbo-16K, GPT-3.5-Turbo-16K-0613, Claude-1-100K, Claude-1-100K, Claude-1-Instant-1-100K, Google BardAI, Microsoft Bing, and Perplexity. It will cover their capabilities, use cases, and what makes them unique in today's ever-expanding world of artificial intelligence. A comparison of these models and products will also be presented, highlighting the strengths and weaknesses of each.
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Burger, Bastian, Dominik K. Kanbach, Sascha Kraus, Matthias Breier, and Vincenzo Corvello. "On the use of AI-based tools like ChatGPT to support management research." European Journal of Innovation Management 26, no. 7 (2023): 233–41. http://dx.doi.org/10.1108/ejim-02-2023-0156.
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PurposeThe article discusses the current relevance of artificial intelligence (AI) in research and how AI improves various research methods. This article focuses on the practical case study of systematic literature reviews (SLRs) to provide a guideline for employing AI in the process.Design/methodology/approachResearchers no longer require technical skills to use AI in their research. The recent discussion about using Chat Generative Pre-trained Transformer (GPT), a chatbot by OpenAI, has reached the academic world and fueled heated debates about the future of academic research. Nevertheless, as the saying goes, AI will not replace our job; a human being using AI will. This editorial aims to provide an overview of the current state of using AI in research, highlighting recent trends and developments in the field.FindingsThe main result is guidelines for the use of AI in the scientific research process. The guidelines were developed for the literature review case but the authors believe the instructions provided can be adjusted to many fields of research, including but not limited to quantitative research, data qualification, research on unstructured data, qualitative data and even on many support functions and repetitive tasks.Originality/valueAI already has the potential to make researchers’ work faster, more reliable and more convenient. The authors highlight the advantages and limitations of AI in the current time, which should be present in any research utilizing AI. Advantages include objectivity and repeatability in research processes that currently are subject to human error. The most substantial disadvantages lie in the architecture of current general-purpose models, which understanding is essential for using them in research. The authors will describe the most critical shortcomings without going into technical detail and suggest how to work with the shortcomings daily.
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Polstovalov, Oleg Vladimirovich, and Rushan Radikovich Galiautdinov. "Organized forms of online fraud: types of fraud in the field of computer information and the use of high technologies." Юридические исследования, no. 11 (November 2023): 120–27. http://dx.doi.org/10.25136/2409-7136.2023.11.44223.
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Law enforcement and judicial practice in Russia has faced a mass of previously non-existent types of fraud. New types of fraud appeared in the field of computer technology and the use of high technologies. Along with this, the development of economic sectors, the credit and financial system, commercial banks, the emergence of new information, banking technologies, technical means of communication have generated organized forms of online fraud. Primitive forms of fraud are being replaced by more sophisticated ones, new technologies are penetrating into our lives, so forms of fraud using chat gpt, that is, neural networks, have appeared. The above circumstances justify the relevance of the research topic. The subject of the study is various types of fraud in the field of computer information and the use of high technologies and the specifics of their commission. The novelty of the topic of the publication is due to the need for a thorough study of new organized forms of online fraud to prevent the commission of such crimes. For the first time, "modification" as a method of computer fraud, a neural network, as a way of committing fraud, was investigated. An attempt has been made to characterize an organized criminal group committing online fraud. Digital traces of organized forms of online fraud have been investigated. The purpose of this publication is to highlight the features of the commission of organized forms of online fraud. Their allocation will help to effectively solve such crimes. The article uses various methods: general dialectical, logical, analysis of regulatory regulation, formal legal, comparative legal. Conclusions: on the basis of theory and law enforcement practice, the key elements of organized forms of online fraud are identified, the key features of organized criminal groups that commit them are characterized, the role of neural networks in the commission of the crimes under consideration is established.
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Prananta, Arie Wahyu, Ruth Rize Paas Megahati S, Nugroho Susanto, and Jean Henry Raule. "Transforming Education and Learning through Chat GPT: A Systematic Literature Review." Jurnal Penelitian Pendidikan IPA 9, no. 11 (2023): 1031–37. http://dx.doi.org/10.29303/jppipa.v9i11.5468.
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Technology is generally interpreted as anything that can provide us with convenience in many ways. Technology also has a huge impact on education and learning. These two things become increasingly inseparable because their roles are interconnected. One of them is by using Chat GPT. The purpose of this research is to explain Transforming Education and Learning through Chat GPT. A review is conducted on the state-of-the-art methods using the preferred reporting items for reviews and meta-analyses. We must know and practice changes in education and learning patterns at all levels of education by describing the characteristics of learning that are currently needed. by using GPT Chat digital technology which has benefits and reasons for using this technology, such as using GPT chat in the transformation of education and learning. GPT chat has many benefits in education and learning but GPT chat is only a tool and the results depend on the data available during training and the model's understanding of the question and context. Although Chat GPT has its benefits, be wise in using the information provided and don't hesitate to verify important information from trusted sources. GPT chat is important because it provides benefits in various fields, such as customer service, education, research, product development, language skills development, and advancing human-machine interface technology
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Wairisal, Paulus L. "Learning Transformation in the Human and Natural Resources Economics course through the GPT Chat: A Review”." Jurnal Penelitian Pendidikan IPA 9, no. 8 (2023): 451–57. http://dx.doi.org/10.29303/jppipa.v9i8.4944.
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In the world of education, we are led to carry out learning that is easy to understand and carried out by many developments in the field of technology. Where the purpose of the research is to explain Learning Transformation in the Human and Natural Resources Economics course through the GPT Chat. In the Human and Natural Resources Economics course, the use of GPT Chat can provide convenience for students in carrying out the learning transformation process. A review is conducted on the state-of-the-art methods using the preferred reporting items for reviews and meta-analyses (PRISMA) guidelines. In the world of education, we are led to carry out learning that is easy to understand and carried out by many developments in the field of technology. One of the learning transformations is to use AI as a technology that can help humans achieve greater progress and open up new opportunities for innovation and success in various fields. Especially in human resource and natural resource economics courses, digital-based learning transformation using GPT chat can simplify and access the information needed in the learning process.
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Knieps, Guenter. "Data-driven sector coupling in 5G-based smart networks." Competition and Regulation in Network Industries 22, no. 1 (2021): 53–68. http://dx.doi.org/10.1177/1783591721992762.
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5G attains the role of a GPT for an open set of downstream IoT applications in various network industries and within the app economy more generally. Traditionally, sector coupling has been a rather narrow concept focusing on the horizontal synergies of urban system integration in terms of transport, energy, and waste systems, or else the creation of new intermodal markets. The transition toward 5G has fundamentally changed the framing of sector coupling in network industries by underscoring the relevance of differentiating between horizontal and vertical sector coupling. Due to the fixed mobile convergence and the large open set of complementary use cases, 5G has taken on the characteristics of a generalized purpose technology (GPT) in its role as the enabler of a large variety of smart network applications. Due to this vertical relationship, characterized by pervasiveness and innovational complementarities between upstream 5G networks and downstream application sectors, vertical sector coupling between the provider of an upstream GPT and different downstream application industries has acquired particular relevance. In contrast to horizontal sector coupling among different application sectors, the driver of vertical sector coupling is that each of the heterogeneous application sectors requires a critical input from the upstream 5G network provider and combines this with its own downstream technology. Of particular relevance for vertical sector coupling are the innovational complementarities between upstream GPT and downstream application sectors. The focus on vertical sector coupling also has important policy implications. Although the evolution of 5G networks strongly depends on the entrepreneurial, market-driven activities of broadband network operators and application service providers, the future of 5G as a GPT is heavily contingent on the role of frequency management authorities and European regulatory policy with regard to data privacy and security regulations.
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Artamonova, Maria Valerievna, Akbar Azamatovich Mambetov, and Ekaterina Valer'evna Tulina. "Chatbot as a translation tool." Litera, no. 8 (August 2023): 235–53. http://dx.doi.org/10.25136/2409-8698.2023.8.43875.
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This article is devoted to the study and analysis of modern technologies, namely artificial intelligence as an auxiliary tool in the work of a translator. The purpose of the study is to find out whether chatbots based on GPT–3.5 technology can be used in translation activities. The article compares the capabilities of chatbots and online text corpora, as well as checks their analytical abilities and ability to rhyme. Dialog assistants are given a task to find information or analyze it based on a query given to them. At the same time, it is checked whether chatbots developed by different companies provide the same information. The scientific novelty of the work lies in the attempt to find a universal tool that can automate the routine work of the translator. A special contribution of the authors of the study is an attempt for the first time to compare and analyze the rapidly developing functionality of chatbots in the context of translation activities and to identify key problems that do not allow the effective use of this technology in translation. As a result, it was determined that the modern GPT language model has many limitations and disadvantages that stop chatbots from becoming a reliable source of information and an efficient translation tool. Problems were identified, the solution of which would make it possible to use Chat GPT and other chatbots in translation activities.
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Prananta, Arie Wahyu, Nugroho Susanto, Arif Purwantoro, and Nur Fuadah. "ChatGPT Artificial Intelligence Integration in Science Learning Media: Systematic Literature Review." Jurnal Penelitian Pendidikan IPA 9, no. 7 (2023): 315–21. http://dx.doi.org/10.29303/jppipa.v9i7.4386.
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Artificial Intelligence technology enables organizations to support and improve knowledge management practices. From an AI perspective, knowledge representation defines organizational processes that are familiar with this knowledge. In this era of digitalization, the presence of ChatGPT technology opens opportunities to utilize AI chatbots for education in Indonesia, especially in developing student competencies (skills) needed in the 21st century. Where the purpose of the research is to explain ChatGPT Artificial Intelligence Integration in Science Learning Media. A review is conducted on the state-of-the-art methods using the preferred reporting items for reviews and meta-analyses (PRISMA) guidelines. We review literature from several publications and analyze the Era of Education 4.0 with the help of computers to improve quality in the industrial sector and also in the field of computer-assisted education. Many innovations can be proposed to improve the quality of learning implementation. GPT chat is a search engine like Google with a form of chat or dialogue. GPT Chat is an information search tool and scientific communication tool.
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Di Noto, Vito. "(Energy Technology Division Research Award) Interplay between Synthesis, Mechanisms and Performance of Electrocatalysts and Ionomers for Ion-Exchange Membrane Fuel Cells." ECS Meeting Abstracts MA2022-01, no. 35 (2022): 1440. http://dx.doi.org/10.1149/ma2022-01351440mtgabs.
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Ion-exchange membrane fuel cells (IEMFCs) are a family of electrochemical energy conversion and storage devices characterized by several attractive features, including outstanding energy conversion efficiency and a clean operation. IEMFCs are a cornerstone of the “hydrogen economy”, one of the most promising avenues to decarbonize the energy sector, with the ultimate purpose to curtail the emissions of greenhouse gases and mitigate global warming. Therefore, a goal of great practical relevance is to devise highly performing, durable and inexpensive IEMFCs . IEMFCs consist of an electrolyte membrane sandwiched between two electrodes. At the membrane-electrode interfaces are located electrocatalytic layers (EC layers) comprising suitable electrocatalysts (ECs) able to promote the redox processes exploited by the IEMFC operation. The IEMFC sub-families are distinguished by the attributes of the membrane, especially in terms of: (i) chemical features (e.g., polymeric backbone); (ii) mobile ion(s) (e.g., protons for proton-exchange membrane fuel cells, PEMFCs, OH- anions for anion-exchange membrane fuel cells, AEMFCs); and (iii) operation temperature. In the environment modulated by the ionomer, the properties of the ECs , with particular reference to the chemical composition of the active sites and support morphology, are correlated to their performance. Hence, to obtain an IEMFC exhibiting a high performance and durability is imperative to rationally design membranes and ECs that are: (i) highly compatible with one another; and (ii) able to express their best performance and durability in the same set of operating conditions. This contribution overviews our research activities aimed at the development of ECs and membranes for application in PEMFCs, high-temperature PEMFCs and AEMFCs. The topics include: (i) the innovative approaches for the synthesis of the functional components; (ii) the aspects of their physicochemical characterization, together with the unique and comprehensive frameworks contrived for the integration and interpretation of the experimental outcomes; and (iii) the steps to integrate the functional components in high-performing IEMFC prototypes. The ECs considered here are meant to promote the oxygen reduction reaction (ORR), a sluggish electrochemical process that is a major bottleneck in the operation of IEMFCs fueled with hydrogen. State-of-the-art ORR ECs are based on Pt nanoparticles supported on carbon (“Pt/C” ECs). Pt/C ECs warrant a sufficient performance, but suffer from a poor durability and require a high loading of platinum, a strategic element that is prone to trigger supply bottlenecks especially in the event of a large-scale rollout of IEMFCs. The ECs devised in our research laboratory are aimed at addressing all of these issues with materials exhibiting a number of unique features, as follows. (i) Active sites with either an intrinsic ORR kinetics much improved above the Pt baseline or completely “Pt-free”, consisting of an “active metal” (e.g., Pt, Fe) whose performance is boosted by one or more “co-catalyst” (e.g., Co, Ni, Cu, Sn). (ii) Strong, covalent interactions between the active sites and the C-/N- ligands of the “coordination nests” on the surface of the EC support, warranting a high durability. (iii) A support featuring a “core-shell” morphology, wherein a “core” consisting of suitable carbon system(s) is covered by a carbon nitride (CN) “shell”, bestowing facile charge and mass transport features (Figure 1(a)). The resulting ECs bestow the IEMFC a high performance with a minimized loading of Pt. Specifically, the PEMFC prototypes mounting the ECs here described yielded more than 20 kW∙gPt -1. The second main topic of this overview is the development and the study of the conductivity mechanism of separator membranes for IEMFCs. The latter consist mainly of ionomer matrices (e.g., perfluorinated systems such as Nafion™, SPEEK and developmental anion-exchange block copolymers), both pristine and doped with suitable nanofillers (e.g., conventional ceramic oxoclusters, “core-shell” oxocluters, among many others). The matrix-nanofiller interactions modulate the physicochemical features of the resulting hybrid inorganic-organic membrane, allowing to improve crucial features for applications in IEMFCs such as: (i) mechanical stability; and (ii) conductivity in dry conditions and high temperature. Other separator membranes are overviewed, including: (i) anion-exchange ionomers based on polyketone matrices (Figure 1(b)); (ii) hybrid inorganic-organic membranes for HT-PEMFCs based on oxocluster nanofillers and polybenzimidazole-like matrices; and (iii) membranes swollen with proton-conducting ionic liquids. These membranes underwent a thorough characterization elucidating their morphology, structure, thermal properties, thermomechanical relaxations and electric response (Figure 1(c)). The integration of all the above knowledges yielded a unique, comprehensive and general framework which proved crucial to elucidate the interplay between the physicochemical properties of the different phases within each membrane and their overall conductivity mechanism. This allowed to trigger the development of new high-performing separator membranes for application in IEMFCs. Figure 1
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Sandeep, Singh, and Kumari Poonam. "Automatic Car Theft Detection System Based on GPS and GSM Technology." International Journal of Trend in Scientific Research and Development 3, no. 4 (2019): 689–92. https://doi.org/10.31142/ijtsrd23867.
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An efficient automotive security system is implemented for anti theft using an embedded system integrated with Global Positioning System GPS and Global System for Mobile Communication GSM. System presented has Two types of tracking, one is online tracking with GPS system can only receive the vehicle location information from satellites and other is offline tracking. GSM system is installed in the vehicle for sending the information to the owner of the vehicle. The preventive measures like engine ignition cutoff is installed in the vehicle which is controlled using user or owner GSM mobile. The owner can lock or unlock his her vehicle with the help of SMS. The system is implemented on general purpose printed circuit board PCB Using Arduino. Sandeep Singh | Poonam Kumari "Automatic Car Theft Detection System Based on GPS and GSM Technology" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-4 , June 2019, URL: https://www.ijtsrd.com/papers/ijtsrd23867.pdf
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Zalizko, V. D., A. M. Cherniak, D. W. Nowak, and V. Y. Artemov. "Assessing Ukrainian education security in the context of artificial intelligence integration for accelerated post-war recovery." Naukovyi Visnyk Natsionalnoho Hirnychoho Universytetu, no. 6 (December 30, 2024): 119–28. https://doi.org/10.33271/nvngu/2024-6/119.
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Purpose. Integral assessment of the security situation in the Ukrainian education system under the intensive implementation of Artificial Intelligence (AI) technologies and identification of promising scenarios for the post-war reconstruction of Ukraine, using the example of rural education. Methodology. The scientific research was based on general scientific methods, supplemented by a comprehensive econometric analysis of the main indicators of educational security in Ukraine. Optimisation and integral evaluation methods were also used, which do not require the involvement of experts from various fields of educational activity. The key tool in the integrated multi-factor evaluation method is the module of intelligent economic-mathematical modeling and forecasting of optimistic, realistic, and pessimistic scenarios for the implementation of digital initiatives for the post-war recovery of the educational system of Ukraine, which is implemented through the method of principles, the “t-criterion” in the calculation of scalar thresholds based on IBM SPSS Modeler, AI-Prophet, Cloud Pak for Data, and R-Studio AI. Findings. The work highlights the key factors influencing the level of security of the Ukrainian rural education system and defines the corresponding integrated index of educational security, which in further research can play a key role in strengthening the economic security of the national economy in the era of post-war reconstruction of the country and the formation of a new digital economy in Ukraine. Based on the obtained integrated assessment of the security of the educational system, the authors have identified probable trajectories for the transformation of educational processes in the context of the use of AI technologies. Key scenarios for the improvement of tactical and strategic management tools in the education sector are proposed in order to accelerate the processes of high-quality digital transformation aimed at the post-war recovery of Ukraine. Originality. Based on the developed innovative digital platform “Central European Network for Sustainable and Innovative Economy”, an open source program IIS-GPT 3 was created, which, unlike the existing analogues, integrates new algorithms for the use of AI technology for forecasting key security indicators based on SPSS and AI-Prophet. This made it possible to carry out an independent integral assessment, modelling and forecasting of the transformation of the processes of strengthening the educational security of Ukraine in the context of post-war reconstruction. Practical value. The conducted research proves the relevance of the modern national educational policy of digitization and indicates the potential benefits, challenges, and risks, particularly regarding the implementation of a digital environment with AI elements “Dream”, which can become a game changer in Ukrainian education. The research materials form a scientific basis for further systematic analysis of the key post-war imperatives of educational security in Ukraine.
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Purnama, Iwan, Firman Edi, Syahrul, Risnawati Agustin, and Nuridin Widya Pranoto. "GPT Chat Integration in Project Based Learning in Learning: A Systematic Literature Review." Jurnal Penelitian Pendidikan IPA 9, SpecialIssue (2023): 150–58. http://dx.doi.org/10.29303/jppipa.v9ispecialissue.6712.
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The evolution of technology in education has opened new doors for innovative teaching methods. One such breakthrough tool is ChatGPT, a learning model developed by Open AI. Open AI has huge potential, not only to increase efficiency but also to improve pedagogy for more engaging learning experiences. The purpose of this research is to test the integration of GPT Chat in Project Based-Learning in Learning. This research uses a systematic literature review method using Preferred Reporting Items for Systematic Reviews (PRISMA). The results of this research explain that in the Industrial Revolution Era 4.0, educational institutions must prepare new literacy and orientation in the field of education, the new literacy itself is in the form of data, technology, and human resource literacy. Project-based learning is a learning model that emphasizes student activity in solving various problems through a series of activities starting with gathering information, planning a project, and producing a particular product packaged in the form of project work. The stages of project-based learning are Determining basic questions, developing a project plan, Developing a schedule, Monitoring, Test results, and Evaluation of experience. ChatGPT is a research tool or “thought partner”, and is said to be useful for a variety of teaching purposes. The application of the PjBL model has the potential to improve student learning outcomes and motivation in Indonesia. Therefore, the integration of GPT chat with Project Based-learning in learning needs to receive further attention so that it can make a more significant contribution to improving the quality of learning and student motivation in Indonesia.
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Ritonga, Afdolli Iman, Rizki Hambali Hasibuan, Raihan Adha Rahman Pohan, Khoirun Nisa Lubis, and Nurbaiti Sirait. "Peran Teknologi Dalam Perkembangan E-Business." VISA: Journal of Vision and Ideas 3, no. 2 (2023): 434–42. http://dx.doi.org/10.47467/visa.v3i2.3334.
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The introduction of technology in business is just one example of how the trading system in Indonesia has advanced over the years. The availability of electronic commerce has the potential to speed things up, save money and make buying and selling of goods, services, clothing, food, and other goods much quicker. The purpose of this research is to investigate how information technology contributes to the growth of e-business. This qualitative research uses data from a literature review. Especially with the internet, the rapid development of information technology has emerged as the main means of obtaining information quickly and simply. The Internet is a global computer network that connects the whole world together. People can get all the information they need from the internet. The internet can also be used to search for data or information, making it easier for the general public to get the information and communication they need. This research shows that the application of a technology-based information system within a company can provide benefits for the company such as supporting operational and managerial activities and being able to provide data that has good analytical skills in calculating data.
 Keywords : e-business, technology, web
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Xie, An, Huan Lin Jin, and Ming Zhang. "Modification of PP by Using Recycled Materials." Applied Mechanics and Materials 364 (August 2013): 716–20. http://dx.doi.org/10.4028/www.scientific.net/amm.364.716.
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As a kind of general-purpose plastic, PP possesses a good mechanical property and excellent resistance to chemical attack. So, now, it is widely used. In this article, a kind of decorating materials used in automobile and rubber powders were used to undertake a modification of PP. Besides, mechanical property was tested and SEM,TMA,TG technology were used to investigate some of the property of composites. We drew a conclusion that the composite with a ternary system consists of PP,POE and rubber powder got the best integrated performance.
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Triyanti, Jaria Rama. "Pembuatan Game Animasi Teka Teki Silang Menggunakan Adobe Flash CS6." INFORMATIKA 10, no. 3 (2022): 112–26. http://dx.doi.org/10.36987/informatika.v10i3.3419.
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Computer technology is one of the technologies that can help accelerate human work. Computer technology has been applied in various fields including education, health, offices, telecommunications, business, military and so on, as well as in the world of entertainment. One form of entertainment including games, games are very rapidly developing along with advances in computer technology. Games are very much in demand both from children, adolescents to adults. The game itself is of various types, one of the games that enjoy doing and is educational for children and adolescents at the moment is a quiz-shaped game. Flash is a software that is generally used to make an animation, but currently flash is widely used for other things, for example making websites, games, etc. The purpose of this final project is to design animated games for children and people adults train their memory and outside insights about computers. Children and adults should never get bored with learning, thus helping children and adults learn about technology and make it easier for children and adults to learn general knowledge of technology and about computers. From the results of this study, it can be seen that the crossword animation game general knowledge about basic computer-based flash levels can find out more clearly about Adobe Flash CS6.
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Huang, Tien-Chi, Yu Shu, Ting-Chieh Yeh, and Pei-Ya Zeng. "Get lost in the library?" Electronic Library 34, no. 1 (2016): 99–115. http://dx.doi.org/10.1108/el-08-2014-0148.
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Purpose This paper aims to identify ways to establish an information system to aid users to enhance the effectiveness of self-regulated learning and solve the problem of learning domain unawareness. Many libraries are spacious and with a rich collection of books, the problem a newcomer may encounter in the wide library is spatial unawareness. In addition, people new to a particular field of study often encounter the problem of learning domain unawareness. Design/methodology/approachThis paper presents an overview of self-regulated learning theory first. We realize the essential principles of self-regulated learning model in the library and developed a learning system that utilizes the concept of combining mobile augmented reality (AR), indoor navigation and data mining algorithms. Findings The proposed NO Donkey E-learning (NODE) system utilizes AR and innovative indoor positioning technology to fulfil the goal of navigation inside a library and solve the problems of spatial and learning domain unawareness. On the one hand, the system allows peers to communicate asynchronously to create a cloud-based information sharing community; the dual-track terminal (the website and the app interfaces) in the system could provide both educational functionalities and mobility for readers. On the other hand, AR navigation function integrates the information of reading paths, the real-space locations, real-time dynamic information, book introductions and readers’ comments to help readers have access to the topic-related books efficiently. Practical implications We found that although the library provides the floor plan and signs, such passive and fixed indication may cause spatial unawareness. People need system to show the bookshelf location and dynamic direction indicators when they walk in the wide library. However, most existing library information systems only provide readers with the function of book search, including which floor the book is on, call number and check-out status. In this sense, we propose that self-regulated learning theory integrated the new innovation technology is the solution for the above issues. Originality/value The system developed in this study, while viewing the real scenes inside the library through camera lens, provides related virtual educational information services and learning paths on screen and guides the public to do systematic self-regulated learning. With the functions of the “learning topic” and “knowledge sharing”, the learning system promotes the general public to self-monitor their learning progress and to use the sharing mechanism as the system structure to solve the two main problems of spatial unawareness and domain unawareness in learning in libraries, creating a truly innovative people-centred library information system.
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Álvarez, Oscar. "Planetario Habana: a cultural centre for science and technology in a developing nation." Proceedings of the International Astronomical Union 2, SPS5 (2006): 51–54. http://dx.doi.org/10.1017/s1743921307006692.
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AbstractAstronomical education in Cuba is not widespread in the educational system; nevertheless the public interest in sciences in general but particularly in Astronomy issues is very high, as it has become reflected by the attention paid to educational and scientific program broadcasts in the national television channels. The “Planetario Habana” Cultural Centre for Science and Technology, which is under construction, is aimed at guiding the interest towards basic sciences and astronomical formation of the people, in the most populated and frequented area of the country. A key objective of this project shall be serving as an instructive motivation and entertainment for the casual or habitual visitors to these facilities, offering them the possibility to enjoy vivid representations, play with interactive amusement equipment and listen to instructive presentations on astronomy and related sciences, all guided by qualified specialists.Another fundamental purpose shall be the establishment of a plan for complementary education in coordination with schools, in order to allow children and young people to participate in activities enabling them to get into the fascinating world of Astronomy, Exploration of Outer Space and Life as a Cosmic Phenomenon.The setting up of the Planetario Habana Cultural Centre for Science and Technology is under the general administration of the Office of the Historian of the City of Havana, and methodologically is being led by the Ministry of Science, Technology and the Environment, and will show in operation the GOTO Planetarium G Cuba custom, obtained under a Japanese Cultural Grant Aid. It will develop into a an unparalleled centre in the national environment for scientific outreach and education of these sciences.Surrounded by the attractiveness of the colonial “ambience’, it shall become a centre for dissemination of information about new discoveries and scientific programs developed at national and international level. Here we present a general view of the project, and its present and future development.
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Rozs, Richard, and Matyas Ando. "Collaborative Systems, Operation and Task of the Manufacturing Execution Systems in the 21st Century Industry." Periodica Polytechnica Mechanical Engineering 64, no. 1 (2019): 51–66. http://dx.doi.org/10.3311/ppme.14413.
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Until the first two decades of the 21st century, as part of the Enterprise Resourse Planning (ERP), the Manufacturing Execution System (MES) and related systems have undergone development in both complexity and efficiency. In the field of production technology, there are many sources of work nowadays to get a detailed picture of the solutions offered by MES. The purpose of this article is to give a comprehensive overview of the MES solutions that currently used in industry. In addition to the general structure of the systems and Holonic MES are briefly described. Special attencion is paid to various collaborative systems that complement the MES. The additional manufacturing tools for MES is also described shematically in this article.
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Perera, K. A. Chandralal, and Shahani Weerawarna. "Free and Open Source Software Technology Adoption in the Sri Lankan Banking Industry." Journal of Computer Science 1, no. 1 (2013): 20–34. http://dx.doi.org/10.31357/jcs.v1i1.1621.
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This research explores Free and Open Source Software (FOSS) adoption in the Sri Lankan banking sector. It produces two types of results, which are unique. One is an 8-level abstract model based on the criticality for the business, which represents all the software application usage in Sri Lankan banks. Then it presents the adoption of FOSS in banks, in terms of two quantified indices, namely General FOSS Adoption Index and Category Specific FOSS Adoption Index. The first index modeled so that it represents the ‘strategic nature of usage of FOSS’ as well as the ‘FOSS friendliness’ within the bank. The second index represents the FOSS adoption in the bank, in terms of extraction of the ‘best technological features out of them’ and the ‘level of adoption’. The results reveal that the Sri Lankan banks do not have good levels of FOSS adoption, though all the banks use FOSS applications for some purpose or another. By further drill down into the model, it was discovered that the lack of government policy initiative towards FOSS has had a causal effect on the poor adoption ratings in the Sri Lankan banking context. Further it will greatly helpful to have FOSS supportive software business in the country, which will influence banks to get better service for FOSS products.
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Golikov, Yu L., M. V. Yesina, and O. A. Kobylianska. "Comparative analysis of artificial intelligence based on existing chatbots." Radiotekhnika, no. 215 (December 25, 2023): 7–12. http://dx.doi.org/10.30837/rt.2023.4.215.01.
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Today, artificial intelligence (AI) is rapidly gaining popularity in various sectors, including the corporate world, business circles, and people's daily lives. The application of artificial intelligence in such fields as medicine, banking and government structures is becoming more frequent. Artificial intelligence facilitates data processing, as it occurs without the intervention of human labor and usually ensures the accuracy of the tasks performed. According to statistics, the number of companies using artificial intelligence in their operations is increasing, and many organizations consider artificial intelligence as an important technology to achieve competitive advantage. This scientific study presents a comprehensive analysis of two leading artificial intelligence systems – ChatGPT-4 from the OpenAI company and Bard from the Google AI company. The work also provides an overview of the development of artificial intelligence in various fields and its impact on everyday human life, especially in such vital areas as medicine, finance, public administration, etc. The paper delves into a detailed comparison of different versions of ChatGPT (GPT-3 and GPT-4) by discussing and analyzing their capabilities, improvements, and limitations. The article also discusses the integration of the Bard system with Google services, its unique functionality and recent updates. The purpose of this study is to compare the capabilities of the artificial intelligence systems ChatGP-4T and Bard, highlight their strengths and weaknesses, as well as their practical application. The paper presents the results of comparative testing to evaluate the performance of each model (system) in various tasks, including solving a logical task, writing an essay, analyzing with subsequent suggestions for improving the web-site, and writing HTML/CSS code for a web-page. The results highlight the fact that, despite the recognized advantages of these models, their functional characteristics may sometimes be limited or not meet expectations when performing specific tasks and the choice of system (model) will be adjusted depending on the needs of users.
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Wijaya, I. Kadek Kumara Ari, and Ni Putu Trisna Windika Pratiwi. "PENGARUH PENERAPAN STANDAR AKUNTANSI PEMERINTAHAN, KOMPETENSI SUMBER DAYA MANUSIA, PEMANFAATAN TEKNOLOGI INFORMASI, DAN SISTEM PENGENDALIAN INTERNAL PEMERINTAH TERHADAP KUALITAS LAPORAN KEUANGAN." Hita Akuntansi dan Keuangan 2, no. 4 (2021): 75–84. http://dx.doi.org/10.32795/hak.v2i4.1997.
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Regional Government Financial Reports (LKPD) are intended to fulfill the general purpose of financial reporting and financial reports produced by local governments will later be used in decision making by the parties concerned. The purpose of this study was to examine the effect of implementing government accounting standards, human resource competence, the use of information technology, and government internal control systems on the quality of financial reports at OPD Badung Regency. The population used in this study were 3026 employees who worked in 33 OPDs in Badung Regency. Determination of the sample using purposive sampling method in order to get 99 people as the sample. After the instrument test and classical assumption test were carried out, the data analysis was then carried out using multiple linear regression analysis, determination, t test, and F test. internal government has a positive and significant effect on the quality of local government financial reports of Badung Regency.
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Nugraha, Julfi Adrian, Sulistyono Sulistyono, and Uus Toharudin. "Peningkatan Kemampuan Literasi Sains Dan Teknologi Melalui Model Pembelajaran Sains Teknologi Masyarakat." Edubiologica Jurnal Penelitian Ilmu dan Pendidikan Biologi 7, no. 1 (2019): 1. http://dx.doi.org/10.25134/edubiologica.v7i1.2390.
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The purpose of the research is to get the description of science literacy skill and technology after the learning process through science technology society� learning model in the sub-concept of water pollution. The method that I used is free eksperimental and the sample of the research is the class X of MIPA 4 from the population of the class X SMAN 2 Indramayu. The research instruments are observation sheet which purposing in analyzing the science literacy and technology of the student, multiple choice consisting of 20 questions which are given through pretest and posttest, and questionnaire which analyze the student�s response after the learning. The observation result shows that in the science technology society� learning model have few obstacles: inadequate of facilities and infrastructure, students� lack of the knowledge, lack of preparation and lack of time. In general, the students are quite capable to do three kinds of the science literacy aspects and two kinds aspects of technology literacy. The three aspects of science literacy includes: explanation in regards to the scientific phenomena, designing and evaluating scientific exploration, and the use of scientific evidence. Technology literacy includes: management and evaluation of information gathers from all source of media and understanding the utilization of technology. Learning through Science technology society� model can improved the student�s science and technology literacy in gaining knowledge, skill and attitude. The knowledge that the student get are more meaningful and will be longer lasting in their mind. Based on the analyisi the mean Pretest� is 49,5 and the mean� () posttest is 70,7. After that, I conducted the test of t and the result is thitung (0,86) > ttabel (0,05), which means this is significantly different. The analysis of questionnaire shows that most of the students give positive response to the indicator with the mean of them is more than 75%Keywords: Science Literacy; Technolgy Literacy; Science technology society; Water Pollution
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Li, Chang, Philip Chang, Shanming Li, and Xinxiang Shi. "Cross-border M & A and the marketing timing of economic crisis." China Finance Review International 5, no. 4 (2015): 421–39. http://dx.doi.org/10.1108/cfri-10-2014-0086.
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Purpose – Cross-border M & A is one of the most important ways of international capital flows, and scholars have paid a lot of attention to this area, but a general explaining model has still not been generated. The purpose of this paper, based on Lambrecht (2004) and Bolton et al. (2013), is to build a general explaining model in this area and use the new model to explain some real world issues. Design/methodology/approach – The model work in this paper is based on Lambrecht’s (2004) real option model, which is the classical modeling method in this area, and take the economic crisis method of Bolton et al. (2013) into consideration; the authors also use the relative market condition to illustrate the motivation and market timing of cross-border M & A in this paper to connected the bidders’ markets and targets’ markets together to build the general explaining model for cross-border M & A. Findings – By analyzing the new model the authors build in this paper, the authors get three conclusions. Conclusion 1: when the bidders’ technologies are more advanced than the targets’, the bidders prefer market-seeking cross-border M & A, and the relatively higher the bidders’ technologies are, the stronger the preference is; when the bidders’ technologies are less advanced than the targets’, the bidders prefer technology-seeking cross-border M & A, and there exists an optimal relative technology ratio at which the bidders have the strongest motivation to exercise the technology-seeking type cross-border M & A. Conclusion 2: host country’s high economic growth helps attracting market-seeking cross-border M & A, conversely host country’s low economic growth helps attracting technology-seeking cross-border M & A. Conclusion 3: the bidders prefer to exercise the technology-seeking cross-border M & A when the home markets are stable or when economic crises happen in targets markets; and the bidders prefer not to exercise the market-seeking cross-border M & A when economic crises happen in home markets; and the relationship between the motivation for bidders to exercise market-seeking cross-border M & A and the possibility of the happening of economic crisis in home countries presents an inverse N-shape curve. Originality/value – In this paper the authors first use the relative market condition to illustrate the motivation and market timing in the cross-border M & A research area and build a general model based on current literatures.
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Arendt, Anne, Angela Trego, and Jonathan Allred. "Students reach beyond expectations with cafeteria style grading." Journal of Applied Research in Higher Education 8, no. 1 (2016): 2–17. http://dx.doi.org/10.1108/jarhe-03-2014-0048.
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Purpose – The purpose of this paper is to show that cafeteria style grading actually provides a course structure which encourages students to go beyond expectations. Design/methodology/approach – Three instructors offered a total of 13 sections of a general education science class called “Fundamentals of Technology” from January 2012 to December 2013 using a cafeteria-style grading method. This means students get to choose to do those assignments, quizzes or tests that appeal to their own learning interests or styles and do not need to complete all the assignments to get an A grade. Rather, they complete those assignments desired in order to earn the applicable points. This paper researches the combined results of over 400 students to assess the success of cafeteria style grading. Findings – These instructors found that half the students overall obtain an A grade and 9 percent of all students actually go above and beyond the requirements of an A grade by at least 5 percent. Actually, about 4 percent of students complete more than is required by an additional 10 percent or more. Originality/value – Cafeteria style grading is a little researched methodology for student assessment. The research shows that cafeteria style grading actually provides a course structure which encourages students to go beyond expectations.
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Belousova, Maria, Roman Aleshko, Rafina Zakieva, Malvina Karabasheva, Sergey Gorovoy, and Sultanbek Kozhemov. "Development of equipment management system with monitoring of working characteristics of technological processes." Journal of Applied Engineering Science 19, no. 1 (2021): 186–92. http://dx.doi.org/10.5937/jaes0-28855.
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The work provides multi-purpose optimization of the baklava production process based on technology of agent systems, the intelligent environment of process control systems. The general architecture of the control system intelligent environment with agent technologies for recognizing abnormal situations was developed and adaptive baklava production regulators were synthesized. It allows you to get the specified dynamic characteristics of the control object based on the developed adaptive systems for adjusting the PID controllers, controlling the parameters of the dough, kneading, separation and baking of baklava. The proposed approach to the construction of an automated process control system with an intelligent environment will reduce the variance of fluctuations in energy consumption, increase the production rate of high-quality baklava and reduce the time for re-equipment and technological modes of operation of baklava production lines.
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KALKE, Jakub, Mateusz SZCZECIŃSKI, and Paweł MAZURO. "Unsteady conjugated heat transfer in cylinder of highly loaded opposed-piston engine." Combustion Engines 167, no. 4 (2016): 64–72. http://dx.doi.org/10.19206/ce-2016-407.
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Paper presents a method of calculating the temperature distribution in cylinder for a 2-stroke, opposed-piston (OP) internal combustion engine (ICE). Development of such machines has been very limited after World War II due to technological and ecological problems [9], therefore progress in numerical modeling for analyzing highly boosted OP engines was also halted. Current technology permits returning to the OP arrangement, where due to better combustion chamber shape it is potentially possible to achieve higher thermodynamic efficiency than in arrangement with the cylinder head [9, 10]. Authors decided to use a general purpose CFD-program (in this case Ansys Fluent) coupled with additional tools to calculate conjugated heat transfer between the load in the cylinder and the cylinder itself to get a 3D temperature distribution in solid body.
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Abi Surya Wijaya, Aldo Faisal Umam, Arif Rohman Hakim, and Maulina Nabila. "Web Based Sales Information System at Greenvest Source." Jurnal Multidisiplin Madani 2, no. 11 (2022): 3977–93. http://dx.doi.org/10.55927/mudima.v2i11.1744.
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At this time information technology is experiencing very fast development, along with human needs which also continue to grow, with the internet we will get millions of information, we can even do business selling via the internet. The purpose of this research is to make it easier for buyers and sellers to buy in an easy way by using e-commerce web-based applications. In scientific writing, the research method used by the author is descriptive research methodology. The system design stage is described as designing to build a system and configuring software and hardware components so as to produce a good system, the designed system is one component. The conclusion of this study is to provide information to the general public about the products being sold by presenting pictures and information