To see the other types of publications on this topic, follow the link: Cognos 8 Business Intelligence.
Journal articles on the topic 'Cognos 8 Business Intelligence'
Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles
Consult the top 50 journal articles for your research on the topic 'Cognos 8 Business Intelligence.'
Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.
You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.
Browse journal articles on a wide variety of disciplines and organise your bibliography correctly.
1
Ereth, Julian, and Hans-Georg Kemper. "Business Analytics und Business Intelligence." Controlling 28, no. 8-9 (2016): 458–64. http://dx.doi.org/10.15358/0935-0381-2016-8-9-458.
Full text
2
Castellanos, Malu, Florian Daniel, Irene Garrigós, and Jose-Norberto Mazón. "Business Intelligence and the Web." Information Systems Frontiers 15, no. 3 (2013): 307–9. http://dx.doi.org/10.1007/s10796-013-9435-8.
Full text
3
Pawar, Badrinarayan Shankar, and Ramesh Sharda. "Obtaining business intelligence on the internet." Long Range Planning 30, no. 1 (1997): 110–21. http://dx.doi.org/10.1016/s0024-6301(96)00100-8.
Full text
4
Tarek, Bel Hadj, and Ghodbane Adel. "Business Intelligence versus Entrepreneurial Competitive Intelligence and International Competitiveness of North African SMEs." Journal of International Entrepreneurship 14, no. 4 (2016): 539–61. http://dx.doi.org/10.1007/s10843-016-0194-8.
Full text
5
Nolle, Timo, Stefan Luettgen, Alexander Seeliger, and Max Mühlhäuser. "Analyzing business process anomalies using autoencoders." Machine Learning 107, no. 11 (2018): 1875–93. http://dx.doi.org/10.1007/s10994-018-5702-8.
Full text
6
Serpa, Luiz Felipe. "Epistemological assessment of current business intelligence archetypes." Competitive Intelligence Review 11, no. 4 (2000): 88–101. http://dx.doi.org/10.1002/1520-6386(200034)11:4<88::aid-cir12>3.0.co;2-8.
Full text
7
Amatucci, Carlo. "Sustainable growth and the role of artificial intelligence in improving circular economy." Law & Digital Technologies 2, no. 1 (2022): 7. http://dx.doi.org/10.18254/s278229070019620-8.
Full textAbstract:
Sustainable development has three dimensions, economic, social and environmental. The three-fold dimension of sustainable development implies the consideration of the environmental issue that goes beyond mere protection of the environment since it cannot be considered separately from the economic-productive system and social needs. The circular economy operates along the same three dimensions. A central role in the successful implementation of the circular economy must necessarily be given to the enterprises. Artificial intelligence provides a powerful tool in the transition to a circular economy, acting as an instrument for innovation in the business model, by directing business activity towards sustainable capitalism, overcoming the model of capitalism aimed solely at profit.
8
Prananda, Alifia Revan, and Irfandy Thalib. "Sentiment Analysis for Customer Review: Case Study of GO-JEK Expansion." Journal of Information Systems Engineering and Business Intelligence 6, no. 1 (2020): 1. http://dx.doi.org/10.20473/jisebi.6.1.1-8.
Full textAbstract:
Background: Market prediction is an important thing that needs to be analyzed deeply. Business intelligence becomes an important analysis procedure for analyzing the market demand and satisfaction. Since business intelligence needs a deep analysis, sentiment analysis becomes a powerful algorithm for analyzing customer review regarding to the business intelligence analysis.Objective: In this study, we perform a sentiment analysis for identifying the business intelligence analysis in GO-JEK.Methods: We use Twitter posts collected from the Twint library which consists of 3111 tweets. Since the dataset did not provide a ground truth, we perform Microsoft Text Analytic for determining positive, neutral, and negative sentiment. Before applying Microsoft Text Analytic, we conduct a pre-processing step to remove the unwanted data such as duplicate tweets, image, website address, etc.Results: According to the Microsoft Text Analytic, the results are 666 positive sentiment numbers, 2055 neutral sentiment numbers, and 127 negative sentiment numbers.Conclusion: According to these results, we conclude that most GO-JEK customers are satisfied with the GO-JEK services. In this research, we also develop classification model to predict the sentiment analysis of new data. We use some classifier algorithms such as Decision Tree, Naïve Bayes, Support Vector Machine and Neural Network. In the result, the system shows that the decision tree provides the best performance.
9
Chongwatpol, Jongsawas. "Credit Card Applications Pending – Who are Our Best Prospect Cardholders? Improved Decisions through Business Analytics and Business Intelligence." Journal of Information Technology Teaching Cases 8, no. 1 (2018): 29–44. http://dx.doi.org/10.1057/s41266-016-0009-8.
Full textAbstract:
This case is designed to illustrate how to utilize the business intelligence framework and business analytics to make proper decisions in the turbulent and competitive business environment. The case started when Jong, the junior vice president in the modeling and analyst department of ABC Bank of Thailand, and his team were drafting a proposal presentation on the new credit card approval processes. Jong believed that it was time to overhaul credit card application processes by employing more sophisticated analytical techniques to analyze customer and credit card data. ABC- Premier Card, the bank's most popular card offering, would be a serendipitous test case in which to further develop the idea about improvements in approving credit card applications. Currently, there were 5 ABC- Premier card applications pending for decision in the house file. Tightening the credit approval process was one of the important strategies for the bank to potentially avoid an increase of risky customers. However, overly strict declinations of credit card applications might alienate potential customers and causing the bank to forego profitable lending opportunities. Taking the ABC- Premier card applications as a testing scenario, Jong and his team had to come up with a new method to evaluate each credit card applicant. They could approve all of them instantly, approve some of them, or even decline all of them. Consequently, Jong hoped that this proposed credit card approval method would improve the bank's policy decision to optimally balance both risky and profitable customers in the long run.
10
McGonagle, John. "The art and science of business intelligence analysis." Competitive Intelligence Review 8, no. 3 (1997): 99a—100. http://dx.doi.org/10.1002/(sici)1520-6386(199723)8:3<99a::aid-cir25>3.0.co;2-v.
Full text
11
Reinhold, Michael, and Stephan Reinhold. "Data-driven Intelligence for SME E-Business: A Marketing and Sales Perspective." Marketing Review St. Gallen 31, no. 4 (2014): 52–59. http://dx.doi.org/10.1365/s11621-014-0381-8.
Full text
12
Ann Alexander, Cheryl, and Lidong Wang. "Brain Science, Brain-inspired Artificial Intelligence, and Applications in Business and Management." Journal of Business and Management Sciences 8, no. 1 (2020): 1–6. http://dx.doi.org/10.12691/jbms-8-1-1.
Full text
13
Winter, Fabian, and Gerald Butterwegge. "Business Intelligence bei der NORMA Group: von den Fachbereichen ins IT-Controlling." Wirtschaftsinformatik & Management 10, no. 3 (2018): 16–19. http://dx.doi.org/10.1007/s35764-018-0051-8.
Full text
14
Candra, Sevenpri, and Ambi Nainggolan. "Understanding Business Intelligence and Analytics System Success from Various Business Sectors in Indonesia." CommIT (Communication and Information Technology) Journal 16, no. 1 (2022): 37–52. http://dx.doi.org/10.21512/commit.v16i1.7849.
Full textAbstract:
Many studies have shown the impact of the Business Intelligence and Analytics (BI&A) system on decision-making. Many organizations have invested heavily in BI technology and the growth of analytical skills and made the BI&A system a strategic priority over the last eight years by citing it as the largest IT investment. The research aims to determine the relevant constructs contributing to the organization’s BI&A system success. Survey research is applied to collect quantitative data for the research questions. The questionnaire is developed in English, which is translated into bahasa Indonesia later. The research obtains 208 decision-makers who use and utilize the BI&A system in various business sectors in Indonesia to achieve this goal. Then, PLS-SEM is used for measurement validation and hypothesis testing. About 8 out of 11 hypothesized relationships between 7 success factors are significantly supported. The findings demonstrate that the model constructs significantly improve decision-making quality in the BI&A system environment. Service quality is found to be the highest predictor of system use. Meanwhile, information quality is the highest predictor of user satisfaction. The research presents practical implications for organizations to adopt the essential factors of BI&A system finding to realize organizational success. Moreover, organizations that have already implemented the BI&A system can use the research as a theoretical basis to measure the ability of the BI&A system to improve decision-making quality.
15
Hashmi, Mustafa, and Guido Governatori. "Norms modeling constructs of business process compliance management frameworks: a conceptual evaluation." Artificial Intelligence and Law 26, no. 3 (2017): 251–305. http://dx.doi.org/10.1007/s10506-017-9215-8.
Full text
16
Mikhnenko, O. E. "Digital Transformation of Business Analytical Processes." Accounting. Analysis. Auditing 8, no. 2 (2021): 62–70. http://dx.doi.org/10.26794/2408-9303-2021-8-2-62-70.
Full textAbstract:
Current development and management of economic activity is largely associated with the implementation of the concept of the digital economy, which poses new challenges for business intelligence. The set of tasks is formed in order to develop business intelligence so that it matches the improved management of economic subjects, and to ensure the quality of business processes when digital technologies are introduced. Improved management based on the concept of the business environment implies that monitoring principles are used to analyze the behavior of external business environment participants with the purpose to build a rational partnership relationship. The digital economy creates information opportunities in this area, as it provides the access to Big Data and their processing using Big data analytics technologies. With regard to the requirements of management, the article analyzes the behavior of elements of the internal business environment to develop a management solution to improve the effectiveness of their behavior. The high quality of the solution is provided by the information model being a highly adequate image of a particular object under control and the ability of the control apparatus to fully realize the volume of its inherent functions. Under these conditions, the digital transformation of analytical processes is based on its own information platform, which should use breakthrough digital technologies. The research uses such methods as systemic analysis to generalize the modern concepts of economic system management, development of digital technologies and their introduction into management decision-making processes.
17
McGonagle, John. "Keeping abreast of science and technology: Technical intelligence for business." Competitive Intelligence Review 8, no. 4 (1997): 88a—88. http://dx.doi.org/10.1002/(sici)1520-6386(199724)8:4<88a::aid-cir17>3.0.co;2-s.
Full text
18
Gómez-Caicedo, Melva Inés, Mercedes Gaitán-Angulo, Anderson Quintero, and Jenny Paola Danna-Buitrago. "Endogenous growth factors and their empirical verification in the Colombian business context by applying fuzzy measurement techniques." Neural Computing and Applications 34, no. 4 (2021): 3249–61. http://dx.doi.org/10.1007/s00521-021-06492-8.
Full textAbstract:
AbstractThis paper centers on the role and economic effect of the factors that affect the endogenous growth of organizations. To this end, it analyzes the case of Colombian companies, whose economy has been characterized in Latin America by maintaining a traditional economic policy and sectors that seek to maximize the opportunities offered by international markets. This study seeks to identify and analyze the factors that influence the endogenous economic growth of organizations and that allow them to be sustainable over time. For this purpose, adaptation algorithms based on fuzzy logics and supervised and unsupervised learning methods were used, generating an adaptation strategy that allows classifying and knowing the endogenous growth of companies in the Colombian context and identifying the most relevant aspects to take into account. Finally, it was found that most Colombian companies focus their business policies on strengthening human capital, followed by innovation, financial resources and, to a lesser extent, strategic alliances.
19
Baldoni, Matteo, Cristina Baroglio, Federico Capuzzimati, and Roberto Micalizio. "Process Coordination with Business Artifacts and Multiagent Technologies." Journal on Data Semantics 8, no. 2 (2019): 99–112. http://dx.doi.org/10.1007/s13740-019-00100-8.
Full text
20
Sutherland, John W. "Intelligence-driven strategic planning and positioning." Technological Forecasting and Social Change 34, no. 3 (1988): 279–303. http://dx.doi.org/10.1016/0040-1625(88)90072-8.
Full text
21
Kimani, Wilfred Chege, Dr Kifleyesus Andemariam, and Dr Kiflemariam Abraham. "ASSESSMENT OF CUEA MBA PROGRAM CONTRIBUTION TO GREATER EMOTIONAL INTELLIGENCE." Journal of Education and Practice 3, no. 1 (2019): 58. http://dx.doi.org/10.47941/jep.315.
Full textAbstract:
Purpose: This study assesses the Catholic University of Eastern Africa University (CUEA) Graduate Business School MBA contribution to developing and enhancing Emotional Intelligence skills among its MBA students.Methodology: Data was collected using various instruments: A survey with structured questionnaires administered to a target population of 40 second-year MBA students; in-depth interviews with 8 second-year MBA students, and 8 CUEA MBA lecturers; and a review of CUEA curriculum in relation to a benchmark of 10 MBA Programs in the best Business Schools of international and regional universities. A concurrent mixed method was used to achieve information with construct validity and chain of evidence from the multiple sources of data. The analysis technique was explanation based on the qualitative data, and some descriptive analysis was carried out for the quantitative data.Results: The findings show that the CUEA MBA program does not have EI (emotional intelligence) as one of its core skills development, while most of the best Business Schools do. CUEA MBA Program does not have specific EI objectives, and as a result, its lecturers have never focused on it and the students’ EI awareness, knowledge, and skills are low.Contribution to policy and practice: The study recommends that CUEA MBA program needs to be incorporated with EI skills development and make it a primary skill to be developed to the students irrespective of their area of specialization. The study further recommends that EI skills should be developed not only at the MBA level but also among undergraduate students, as suggested by some of the lecturers who participated in this study.
22
Damioli, Giacomo, Vincent Van Roy, and Daniel Vertesy. "The impact of artificial intelligence on labor productivity." Eurasian Business Review 11, no. 1 (2021): 1–25. http://dx.doi.org/10.1007/s40821-020-00172-8.
Full textAbstract:
AbstractRecent evidence indicates an upsurge in artificial intelligence and robotics (AI) patenting activities in the latest years, suggesting that solutions based on AI technologies might have started to exert an effect on the economy. We test this hypothesis using a worldwide sample of 5257 companies having filed at least a patent related to the field of AI between 2000 and 2016. Our analysis shows that, once controlling for other patenting activities, AI patent applications generate an extra-positive effect on companies’ labor productivity. The effect concentrates on SMEs and services industries, suggesting that the ability to quickly readjust and introduce AI-based applications in the production process is an important determinant of the impact of AI observed to date.
23
O'Leary, Daniel E., and John Kingston. "Artificial intelligence in business II: Development, integration and organizational issues." Knowledge Engineering Review 9, no. 1 (1994): 1–19. http://dx.doi.org/10.1017/s026988890000655x.
Full textAbstract:
AbstractThe purpose of this paper is to review the use of knowledge-based systems and artificial intelligence (AI) in business. Part I of this paper provided a broad survey of the use of AI in business, summarizing the application of AI in a number of business domains. In addition, it also provided a summary of the use of different forms of knowledge representation in business applications. Part I has a large set of references, including a number of survey papers, focusing on AI in business. Part II of this paper consists of more detailed analysis of particular systems or issues affecting AI in business. It examines technical issues which are central to the construction of business AI systems, and it also examines the commercial contribution made by methods for the development of AI systems. In addition, part II looks at integration between AI and more traditional information systems. AI can be used to add value to many existing information systems, such as database management systems. Particular attention is given to the integration of AI with operations research, which is the one of the primary “competitors” of AI, providing an alternative set of support tools for decision making.Business organizations are not concerned only with technology issues; there is also concern about the impact of AI on organizations. Further, the evaluation of AI often is based on an economic view of the world. Part II therefore investigates the organizational impact of AI, and the economics of AI, including issues such as value creation. The format of Part II is as follows: Section 8 analyses techniques for improving the performance of AI systems, thus maximizing economic return. Section 9 looks at different forms of uncertainty and ambiguity which must be dealt with by AI systems. It examines the contributions of fuzzy logic and numerical measures of certainty to handling these problems. Section 10 examines the usefulness of different approaches to knowledge acquisition in business situations, and investigates the benefits of methodological approaches to AI applications. It also looks at more recent AI programming techniques which eliminate the need for knowledge elicitation from an expert: neural networks, case-based reasoning and genetic algorithms are discussed. Sections 11 and 12 examine issues of integrating AI systems. Generally, the use of AI in business settings must ultimately be integrated with the broader base of corporate information systems. Section 11 looks at integration with information systems in general, and section 12 looks particularly at integration with operations research. Sections 13 and 14 review the organizational and economic impact of AI. Finally, section 15 provides a brief summary of part II.
24
Hassanein, Mohamed Sameh, Mohamed Hamed Elfar, and Abdel Nasser H. Zaied. "WATER RESOURCES MANAGEMENT FRAMEWORK TO IMPROVE DECISION-MAKING BASED ON BUSINESS INTELLIGENCE." Journal of Southwest Jiaotong University 57, no. 4 (2022): 443–54. http://dx.doi.org/10.35741/issn.0258-2724.57.4.39.
Full textAbstract:
This article introduces a business intelligence framework to manage water resources, relying on a design science research methodology, data warehousing platform, and Power BI visualization. This framework consists of three phases. The data preprocessing phase comprises the core functions to validate, clean, transform, aggregate, and load data for the next phase. The processing phase includes the warehousing platform that organizes the data, builds a relationship among these data, and exports them in an appropriate format. Finally, the visualization phase generates descriptive reports for data after integrating the exported warehousing platform with the Power BI interface throughout multi-filters. For validating the performance of this framework, a heuristic evaluation was conducted, showing users' feedback regarding the framework, and a usability evaluation was conducted to determine any major issues such as visibility, flexibility, learnability, and operability. The results indicated that the tool allows for improved decision-making and transforming raw data into useful information. In addition, the dashboards provide a good way to visualize data and identify trends. These aspects align directly with the requirements for a BI tool to support strategic water resources management in Egypt. For example, agriculture consumes 46.49 billion cubic meters of water annually, accounting for nearly 60% of Egypt's total water consumption. Therefore, it is the first area of rationalization and consideration. AlShirkia governorate consumes the most water in agriculture, with an annual consumption value of approximately 4 billion 631 million cubic meters, 8 million people, 1.5 million acres, and 11.3 million tons of production.
25
Mukti, Gema Wibawa, Rani Andriani Budi Kusumo, and Pandi Pardian. "KECERDASAN KEWIRAUSAHAAN (ENTREPRENEURIAL INTELLEGENCE) PETANI MUDA LULUSAN UNIVERSITAS PADJAJARAN." Mimbar Agribisnis: Jurnal Pemikiran Masyarakat Ilmiah Berwawasan Agribisnis 6, no. 1 (2020): 54. http://dx.doi.org/10.25157/ma.v6i1.2629.
Full textAbstract:
Agriculture is a very prestigious business sector, because it plays an important role in providing food for humanity. But apparently this does not automatically attract the attention of the community, especially the younger generation to pursue the field of agricultural business, especially graduates of the Faculty of Agriculture. Young people who choose a career in agriculture are required to have good entrepreneurial intelligence so that they can see an obstacle as a positive challenge. The purpose of this study was to determine entrepreneurial intelligence from graduates of the Faculty of Agriculture who chose a career as a business actor in agriculture. The research method in this study is a qualitative design. In-depth observation (Sugiyono, 2012) to see entrepreneurial intelligence possessed by graduates of the Faculty of Agriculture engaged in agribusiness. The results showed that graduates of the Faculty of Agriculture who are engaged in agriculture have entrepreneurial intelligence such as (1) having the courage to take risks, (2) being able to recognize their strengths or potentials, where they have a clear vision in life, (3) having emotional intelligence good, (4) Always oriented to the process and results, (5) Adaptive to change, which is always willing to learn, change and develop following changes in markets and the environment, (6) Never stop innovating in the course of its business, (7) Able to always collaborate with other parties and work together positively with each other so that all parties can develop and succeed together - (8) Always build a business network (friendship) with partners and stakeholders related to their business, (9) Getting used to always provide benefits to the environment, sharing and advancing together so that they always have a positive spirit for success.
26
Venter, Carin, and Roelien Goede. "The Use of Critical Systems Heuristics to Surface and Reconcile Users' Conflicting Visions for a Business Intelligence System." Systemic Practice and Action Research 30, no. 4 (2016): 407–32. http://dx.doi.org/10.1007/s11213-016-9401-8.
Full text
27
Vlasov, Alexander V., M. M. Begichev, and T. V. Shtepa. "COMPETITIVE INTELLIGENCE IN THE SYSTEM OF ECONOMIC SECURITY OF AN ENTERPRISE." Scientific notes of the Russian academy of entrepreneurship 19, no. 3 (2020): 8–18. http://dx.doi.org/10.24182/2073-6258-2020-19-3-8-18.
Full textAbstract:
The Term "Competitive intelligence" at the everyday level is clear to everyone who has an elementary experience of life in society. In any team, we will face competition and rivalry in person, or we will have the opportunity to witness the struggle for leadership, authority, or the privileged position of other members of the community. In the business world, the study of competitors and competing structures is based on a well-developed theoretical basis, and information is collected by all available methods, including those that directly contradict current legislation.
28
Longoni, Chiara, Andrea Bonezzi, and Carey K. Morewedge. "Resistance to Medical Artificial Intelligence." Journal of Consumer Research 46, no. 4 (2019): 629–50. http://dx.doi.org/10.1093/jcr/ucz013.
Full textAbstract:
Abstract Artificial intelligence (AI) is revolutionizing healthcare, but little is known about consumer receptivity to AI in medicine. Consumers are reluctant to utilize healthcare provided by AI in real and hypothetical choices, separate and joint evaluations. Consumers are less likely to utilize healthcare (study 1), exhibit lower reservation prices for healthcare (study 2), are less sensitive to differences in provider performance (studies 3A–3C), and derive negative utility if a provider is automated rather than human (study 4). Uniqueness neglect, a concern that AI providers are less able than human providers to account for consumers’ unique characteristics and circumstances, drives consumer resistance to medical AI. Indeed, resistance to medical AI is stronger for consumers who perceive themselves to be more unique (study 5). Uniqueness neglect mediates resistance to medical AI (study 6), and is eliminated when AI provides care (a) that is framed as personalized (study 7), (b) to consumers other than the self (study 8), or (c) that only supports, rather than replaces, a decision made by a human healthcare provider (study 9). These findings make contributions to the psychology of automation and medical decision making, and suggest interventions to increase consumer acceptance of AI in medicine.
29
Cristianini, Nello, and Teresa Scantamburlo. "On social machines for algorithmic regulation." AI & SOCIETY 35, no. 3 (2019): 645–62. http://dx.doi.org/10.1007/s00146-019-00917-8.
Full textAbstract:
Abstract Autonomous mechanisms have been proposed to regulate certain aspects of society and are already being used to regulate business organisations. We take seriously recent proposals for algorithmic regulation of society, and we identify the existing technologies that can be used to implement them, most of them originally introduced in business contexts. We build on the notion of ‘social machine’ and we connect it to various ongoing trends and ideas, including crowdsourced task-work, social compiler, mechanism design, reputation management systems, and social scoring. After showing how all the building blocks of algorithmic regulation are already well in place, we discuss the possible implications for human autonomy and social order. The main contribution of this paper is to identify convergent social and technical trends that are leading towards social regulation by algorithms, and to discuss the possible social, political, and ethical consequences of taking this path.
30
Hughes, Douglas E., Joël Le Bon, and Adam Rapp. "Gaining and leveraging customer-based competitive intelligence: the pivotal role of social capital and salesperson adaptive selling skills." Journal of the Academy of Marketing Science 41, no. 1 (2012): 91–110. http://dx.doi.org/10.1007/s11747-012-0311-8.
Full text
31
Carlson, Kristen W. "Safe Artificial General Intelligence via Distributed Ledger Technology." Big Data and Cognitive Computing 3, no. 3 (2019): 40. http://dx.doi.org/10.3390/bdcc3030040.
Full textAbstract:
Artificial general intelligence (AGI) progression metrics indicate AGI will occur within decades. No proof exists that AGI will benefit humans and not harm or eliminate humans. A set of logically distinct conceptual components is proposed that are necessary and sufficient to (1) ensure various AGI scenarios will not harm humanity, and (2) robustly align AGI and human values and goals. By systematically addressing pathways to malevolent AI we can induce the methods/axioms required to redress them. Distributed ledger technology (DLT, “blockchain”) is integral to this proposal, e.g., “smart contracts” are necessary to address the evolution of AI that will be too fast for human monitoring and intervention. The proposed axioms: (1) Access to technology by market license. (2) Transparent ethics embodied in DLT. (3) Morality encrypted via DLT. (4) Behavior control structure with values at roots. (5) Individual bar-code identification of critical components. (6) Configuration Item (from business continuity/disaster recovery planning). (7) Identity verification secured via DLT. (8) “Smart” automated contracts based on DLT. (9) Decentralized applications—AI software modules encrypted via DLT. (10) Audit trail of component usage stored via DLT. (11) Social ostracism (denial of resources) augmented by DLT petitions. (12) Game theory and mechanism design.
32
Santoso, Halim Budi, Priyanka Ayu Sonia Putri, and Budi Sutedjo Dharma Oetomo. "Implementation of Sales Executive Dashboard for A Multistore Company in Yogyakarta." International Journal of New Media Technology 4, no. 1 (2017): 59–68. http://dx.doi.org/10.31937/ijnmt.v4i1.540.
Full textAbstract:
Information Technology is a part of strategic part for enterprise strategic planning. Information Technology can help the enterprise to determine its strategic planning. Through data from the past, thecompany can learn something and help to decide some strategic issue. A Multistore Company in Yogyakarta has more than five stores. The problem raises to generate real-time sales reporting. Sales manager and owner do not have access to real-time sales condition. To ease management analyzing and reporting sales condition, dimension model of the sales data needs to be built. This dimension model will help to make executive report from some dimensions mentioned in data warehouse. Sales data will pass through some processes: Extract, Transform, and Load (ETL) in order to prepare the data warehouse. This process is preprocessing data before dimensional model is built. In this research multi-dimensional modelling by taking data from 3 stores ranging from 1 February 2014 to 31 January 2015. By implementing sales executive dashboard, it helps to monitor and analyze sales condition. Dashboard shows graphic which ease user, especially sales manager and owner to learn current and updated sales condition based on dimensions: time, outlet / store, and product. Report gives detail information and multidimensionalhelps to analyze data from different perspective.
 Index Terms—Dashboard, Multi Dimentional Model, ETL, Executive Reporting
 REFERENCES[1] W. Eckerson, Performance Dashboard: Measuring,Monitoring, and Managing Your Business, New Jersey: JohnWiley & Sons, 2011.
 [2] O. Romero and A. Abello, "A Survey of MultidimensionalModelling Methodologies," International Journal of Data Warehousing and Mining, vol. 5, no. 2, pp. 1-23, 2009.
 [3] R. Kimball and J. Caserta, The Data Warehouse ETL Toolkit:Practical Techniques for Extracting, Cleaning, Conforming, and Delivering Data, Indianapolis: Wiley Publishing, Inc., 2004.
 [4] G. Dhillon and J. Backhouse, "Information System Security Management in the New Millenium," Communications of the ACM, vol. 43, no. 7, pp. 125-128, 2000.
 [5] C. Ballard, D. M. Farrell, A. Gupta, C. Mazuela and S. Vohnik, Dimensional Modelling: In a Business Intelligence Environment, IBM Redbooks, 2006.
 [6] E. Fernández-Medina, J. Trujillo and M. Piattini, "Modeldriven multidimensional modeling of secure datawarehouses," European Journal of Information Systems, vol. 16, no. 4, pp. 374-389, 2007.
 [7] E. Johnson and J. Jones, Building ETL Processes for Business Intelligence Solutions Built on Microsoft SQL Server, CA ERwin, 2007.
 [8] J. Mylopoulos, L. Liu and M. T. Owen, "Database Design," inEnsyclopedia of Database System, United States, Springer,2009, pp. 708 - 710.
 [9] K. R. Gadda and S. Dey, "Business Intelligence for PublicSector Banks in India: A Case study. Design, Development,and Deployment," Journal of Finance, Accounting and Management, vol. 5, no. 2, pp. 37-58, 2014.
 [10] D. J. Power, "DSS Resources," 6 June 2007. [Online]. Available: http://dssresources.com/. [Accessed 29 May 2017].
 [11] D. Hedgebeth, "Data-driven decision making for the enterprise: an overview of business intelligence applications," The Journal of Information and Knowledge Management System, vol. 37, no. 4, pp. 414-420, 2007.
 [12] S. Williams and N. Williams, The Profit Impact of Business Intelligence, San Fransisco: Elsevier, 2007.
 [13] Imelda, "Business Intelligence," in Majalah Ilmiah Unikom, Bandung, UNIKOM, 2013, pp. 111-112.
33
Fornaro, Peter, and Vera Chiquet. "Artificial Intelligence for Content and Context Metadata Retrieval in Photographs and Image Groups." Archiving Conference 2020, no. 1 (2020): 79–82. http://dx.doi.org/10.2352/issn.2168-3204.2020.1.0.79.
Full textAbstract:
In the age of the WWW consistent efforts have been made to make information from the archives available for the general public to facilitate access to the wealth of documentary history for research, consultation or education purposes. Linked Open Data (LOD)[1] provide a well suited framework to expose archival content to the general public while enriching it with content from other sources. This paper describes the creation of the first of its kind linked open data prototype to access data from the Historical Archive of the European Commission (HAS), carried out within ISA2 programme of the European Commission [2]. We present the designed ontology based on ISAD(G)[3], ISAAR(CPF)[4] and RIC-CM [5] models and the business processes of HAS, and the created knowledge base from a sample of HAS data, re-using authority lists from the Publication Office [6] and EuroVoc [7] and allowing querying via SPARQL endpoint [8].
34
Irtyshcheva, Inna, Vitaly Kim, and Yehor Kletsov. "MANAGING BUSINESS PROCESSES IN THE CONDITIONS OF THE DEVELOPMENT OF THE DIGITAL ECONOMY: GLOBAL AND NATIONAL EXPERIENCES." Baltic Journal of Economic Studies 8, no. 5 (2022): 101–7. http://dx.doi.org/10.30525/2256-0742/2022-8-5-101-107.
Full textAbstract:
The subject of the study is the management of business processes in the conditions of the development of the digital economy. Methodology. The research uses general scientific methods, in particular: theoretical generalization – in the formation of national features of business process management; methods of positive and normative analysis – when analyzing the global experience of business process management in the conditions of the digital economy; statistical analysis – when analyzing investments in the development of digital technologies of enterprises. The goal is to study the global and national experiences of managing business processes in the conditions of the development of the digital economy. Research conclusion. The study of national peculiarities of business process management in the conditions of the development of the digital economy shows a positive trend of adaptation for Ukrainian enterprises. The majority of scientists identify significant advantages in the management of business processes in the conditions of the development of the digital economy and emphasize the inevitability of the transition of Ukrainian enterprises to ensure their competitiveness. The analysis of the use of digital technologies by Ukrainian enterprises showed that the most significant investments are in ensuring interaction with customers, data analysis, management of interaction with employees and business processes, automation and closure of the supply chain, cybersecurity and robotics. Ukrainian enterprises generally show significant success in using the digital economy while increasing the volume of products sold (goods, works, services) through e-commerce, social networks, and Internet platforms. A study of the development of the digital economy in the countries of the world showed an increase in its growth rate during the coronavirus pandemic. It was emphasized that among the global trends that will ensure the development of the digital economy in the future are: cloud computing, big data, the Internet of Things, blockchain, artificial intelligence, virtual reality, and augmented reality is increasingly becoming a new engine of high-quality economic development. A model of interaction of the development of the digital economy with the state, business, and society is proposed.
35
Drigas, Athanasios, and Eleni Mitsea. "A Metacognition Based 8 Pillars Mindfulness Model and Training Strategies." International Journal of Recent Contributions from Engineering, Science & IT (iJES) 8, no. 4 (2020): 4. http://dx.doi.org/10.3991/ijes.v8i4.17419.
Full textAbstract:
<p class="0abstract"><span lang="EN-US">Oxidative stress, mental and mood disorders, premature ageing, cognitive impairments, learning disabilities are just some of the emerging threats of the 21<sup>st</sup> century. The next generation of educators, students, business leaders, employees, therapists, and parents are required to adapt in the era of rapid change and climate change developing new skills as well as adopting daily sustainable habits. An increasing number of studies are revealing the positive effects of mindfulness training in all dimensions of human existence bodily, emotionally, mentally, spiritually. Nevertheless, there is a research gap regarding the pillars of mindfulness. The present work proposes a mindfulness model based on the potential principles and the mechanisms of metacognition. Adopting a holistic self-development view, we present the fundamental pillars of mindfulness as well as their underlying operations. Each pillar is framed by a number of techniques that help us to cultivate certain metacognitive abilities and qualities, leading us gradually to the higher levels of self-organization, intelligence and consciousness. We highlight the positive effects of mindfulness training on anti-ageing, stress reduction, neuroplasticity, brain rewiring, hormonal homeostasis. </span></p>
36
M., Kharchenko, Tsymbalistova O., and Chernikhova O. "DIGITAL TRANSFORMATION OF LOGISTICS BUSINESS PROCESSES IN THE AIR TRANSPORT MARKET." Scientific Bulletin of Kherson State University. Series Economic Sciences, no. 44 (December 20, 2021): 49–56. http://dx.doi.org/10.32999/ksu2307-8030/2021-44-8.
Full textAbstract:
The article is devoted to the article investigates scientific approaches to the digital transformation of logistics processes of aviation enterprises, analyzes the main tools for implementing innovative business models in the international and domestic practice of airlines. It is proved that the implementation of digital technologies in the system of business processes of aviation en-terprises affects the resulting performance indicators in general and the transformation of individual logistics business processes. An important aspect of the digital transformation of the aviation services sector is the adaptation of key business processes to ensure the flexibility of the business and its adaptation to changes in the global market. The directions of digital transformation of business processes of aviation enterprises are determined, including digitalization of processes of air movement (logistics) of passenger flows and cargoes, maintenance of aircraft, repair and restoration works, digitalization of commercial activity of airports, support and support of pilots and ground staff. The study examines the most common digital technologies that have become widespread in the logistics management process of the aviation company. Among them are biometric technologies, solutions based on blockchain technology (in order to save passenger data, flight information and financial transactions), VR (augmented reality) and AR (virtual reality), modelbased engineering technologies, cloud services, technologies for processing and analysis of "big data", automation systems, 3D modeling technology, the Internet of Things, etc. Based on the analysis, the risk factors for the introduction of digital technologies in the system of logistics business processes of aviation enterprises are identified and structured. The main obstacles are: the insufficient high level of development of digital infrastructure in the field of logistics management, weak intersectoral coordination of activities to ensure the development of digital transport infrastructure, low demand for innovation in the domestic market and high competitiveness among aviation companies in international markets. Airlines, the difficulty of determining the effectiveness of digital technologies in the aviation industry. The directions and tenden-cies of digital transformation of logistic business processes of aviation enterprises in the conditions of turbulence and instability of the external environment are substantiated.Keywords: digitalization, business processes, digitalization, aviation, logistics flows, blockchain, cloud services, virtual reality, big data, Internet of Things, artificial intelligence. Статтю присвячено дослідженню трансформації бізнеспроцесів авіаційної галузі та охоплює технологічні та організаційні аспекти, спрямовані на підвищення операційної ефективності роботи авіакомпаній, збільшення їх вартості, гнучкості та оптимізації показників безпеки. Доведено, що цифровізація логістичних бізнеспроцесів авіакомпаній є важливим чин-ником підвищення їхньої конкурентоспроможності на міжнародних ринках. Охарактеризовано досвід провідних авіакомпаній щодо запровадження прогресивних технологій управління логістичними бізнеспроцесами. Досліджено прогресивні технології, що впливають на розвиток ринку авіаперевезень: технології доповненої реальності, комп’ютерне проєктування, 3Dмоделювання, хмарні сервіси, технології Internet of Things тощо. Виявлено перешкоди для цифрової трансфор-мації логістичних бізнеспроцесів в індустрії авіаційних перевезень та сформовано тенденції цифрової трансформації національної авіаційної галузі.Ключові слова: цифровізація, бізнеспроцеси, діджиталізація, авіація, логістичні потоки, блокчейн, хмарні сервіси, віртуальна реальність, «великі дані», Інтернет речей, штучний інтелект.
37
Bodenbender, Mario, Björn-Martin Kurzrock, and Philipp Maximilian Müller. "Broad application of artificial intelligence for document classification, information extraction and predictive analytics in real estate." Journal of General Management 44, no. 3 (2019): 170–79. http://dx.doi.org/10.1177/0306307018823113.
Full textAbstract:
Real estate represents a major share of economic activities and wealth in all economies. Due to the lack of widely acknowledged standards, however, the structuring, providing and managing of a life cycle-comprehensive building documentation yet remain challenging. Based on the empirical analysis of 8965 digital documents from 14 properties of 8 different owners, the article presents a model that will unify existing approaches and lead to the development of a document classification standard. This provides the basis for software systems to process relevant data and create timely information over the entire life cycle of a building. Further, it is shown that automated information extraction through artificial intelligence will become instrumental for enhanced and innovative business models and products in real estate such as automated data validation and data evaluation, documentation review, benchmarking and other analytical applications.
38
Mamina, R. I., and S. N. Pochebut. "Artificial Intelligence in the View of Philosophical Methodology: an Educational Track." Discourse 8, no. 1 (2022): 64–81. http://dx.doi.org/10.32603/2412-8562-2022-8-1-64-81.
Full textAbstract:
Introduction. The problematic of artificial intelligence (AI) is one of the central issues for modern scientific and business communities. Despite the relevance and particular demand for AI professions, there is currently an acute need in the labor market for both highly qualified and young specialists in this area. According to analysts, the shortage is due to shortcomings in the system for training AI specialists. The reasons that determined the crisis of educational programs in the field of IT are considered. The main emphasis is focused on the new approaches of gaining knowledge in the training of IT specialists, appropriate to the specifics of the new realities.Methodology and sources. The methodology of comparative analysis, interdisciplinary and philosophical approaches to the consideration of AI as an information and communication phenomenon of the new reality is used. Sources are based on the special literature of foreign (K. Schwab, N. Davis, P. Dougherty, J. Wilson and etc.) and Russian (E.M. Proydakov, V.B. Tarasov, P.M. Gotovtsev and others) authors, scientific researches (collective research of Russian scientists “Strong Artificial Intelligence”, 2021; and others), publications and websites devoted to the problems of AI, including the educational sphere (O.E. Baksansky, U. Pakhomov, etc.; www.trends.rbc.ru/trends/education and others).Results and discussion. Main tendencies of artificial intelligence development are determined. AI is opening out both as a special field of scientific knowledge and as a huge AI-industry. The specifics of educational track in training young AI specialists are revealed; the question of the necessity of developing new educational model, implementing the needs of digital economy in terms of training highly qualified personnel in the field of IT is raised.Conclusion. In the present conditions, when the volume of information is constantly increasing and the practice of AI development is ahead of the theory, the training of AI specialists has still a narrow profile. In this connection, we consider the latest modification of STEM education – i-STEAM, which, like STEM, is aimed at ensuring end-to-end interaction between applied tasks, fundamental research and educational system, but, unlike STEM, includes humanitarian and innovative components, which is especially relevant for training young AI specialists. However, as applied to the AI direction, the humanitarian component must be necessarily supplemented by the subject field of digital humanistic with the main emphasis on digital applied ethics as a prerequisite for progressive development of AI. It is focused that this approach of the training of AI profile meets the requirements of the human-centered digital era.
39
D., Skliar. "WORLD PRACTICE OF BUSINESS PROCESS MANAGEMENT IN THE FIELD OF ELECTRONIC COMMERCE." Scientific Bulletin of Kherson State University. Series Economic Sciences, no. 41 (March 31, 2021): 41–46. http://dx.doi.org/10.32999/ksu2307-8030/2021-41-8.
Full textAbstract:
The article describes the specifics and main trends that characterize the world practice of business process management in the field of e-commerce in the context of its impact on the formation of prerequisites for economic development of enterprises in this field in modern conditions. It is determined that the activity in the field of e-commerce is based on the execution of transactions by electronic means of communication, ie, on modern information and communication technologies and significantly depends on their development. The development of these technologies determines the dynamics and variability of the use of leading technological solutions in e-com-merce and causes the rapid rise of e-commerce over the past three decades from an experimental channel of product promotion / sales to a significant field of activity. The management of business processes in the analyzed area is considered in the context of the transition of modern enterprises to practices that have become possible due to the introduction of information technology and significantly reduce operating costs and increase sales of e-commerce products and services. It is determined that the world practice of business process management is focused on the implementation of the following areas of managerial influence on the activities of enterprises in order to increase its efficiency: improving relationships with suppliers; automation of internal processes related to e-commerce; improving the customer experience; optimization of order return and cancellation processes; integration of artificial intelligence. The world practice of business process management in e-commerce is characterized by the widespread use of numerous systems that support the manage-ment of various aspects of e-commerce. The main ones are ERP-systems, enterprise resource planning systems. These are systems that support the management of the company, optimizing the use of its resources and all processes occurring in it. It is advisable to develop management practice at the level of a particular e-commerce enterprise in accordance with these areas, paying attention to the successes and challenges of leading market players at the global and local levels.Keywords: business processes, e-commerce, e-commerce, business process management, management, e-business, information technologies. Охарактеризовано специфіку та основні тенденції, що відображають світову практику управління бізнес-процесами у сфері електронної комерції в контексті її впливу на формування передумов розвитку підприємств даної сфери за сучасних умов. Визначено, що діяльність в сфері електронної комерції заснована на сучасних інформаційно-комунікаційних технологіях та суттєво залежить від їх розвитку, який визначає динаміку та варіативність використання провідних технологічних рішень в електронній комерції. Світова практика управління бізнес-процесами зосереджена на реалізації наступних напрямків: удосконалення взаємовідносин з постачальниками; автоматизація внутрішніх процесів, пов’язаних з електронною комерцією; покращення клієнтського досвіду; оптимізація процесів повернення та скасування замовлень; інтеграція штучного інтелекту. Ключові слова: бізнес-процеси, електронна комерція, електронна торгівля, управління бізнес-процесами, електронний бізнес, інформаційні технології.
40
Kalinouskaya, I. N. "METHODOLOGY FOR DETERMINING THE CORE COMPETENCIES AND CAREER GROWTH TRAJECTORY OF HR PROFESSIONALS, BASED ON INTERPRETIVE STRUCTURAL MODELING." Social & labor researches 49, no. 4 (2022): 162–72. http://dx.doi.org/10.34022/2658-3712-2022-49-4-162-172.
Full textAbstract:
The subject of the study is the competencies of HR professionals of organizations of the Republic of Belarus, extracted from digital sources on job search and processed with the help of artificial intelligence technologies. The aim of the study is to determine the key competencies of HR specialists and to develop their development programs based on the application of interpretive structural modeling, MICMAC and DEMATEL analysis. The relevance of the topic is due to the growing requirements of the labor market to the set and quality of competencies of specialists, as well as their constant self-development. The scientific novelty lies in the development of theoretical foundations for studying the labor market with the help of artificial intelligence technologies and in the development of methods for determining the core competencies and the trajectory of training professional competencies of specialists. The research uses general scientific and economic methods of analysis, ISM, MICMAC, and DEMATEL analysis, as well as statistical methods of grouping, classifications and graphing. The author obtained the following research results: the ways to develop professional competencies of HR specialists by training technical skills (with the prevalence of “hard” competencies in training programs) and by training communicative and business qualities (with the prevalence of “soft” competencies) were established. The author concludes that the fundamental skills of HR specialists in organizations of Belarus are communication skills, business documentation, teamwork, mastering “1C: Enterprise 8. Salary and Personnel Management”, and the use of office programs (Microsoft office).
41
Rumyantsev, Aleksey A. "Post-industrial Technologies in the Economy of the North-West of Russia." Economy of Region 17, no. 1 (2021): 103–13. http://dx.doi.org/10.17059/ekon.reg.2021-1-8.
Full textAbstract:
A new class of post-industrial technologies is gradually being introduced into various sectors of the economy. However, the lack of application experience may hinder their spread. The article examines two issues of post-industrial technologies. Firstly, there is a need to identify promising (advanced) production technologies that are fundamentally different from traditional industrial technologies. Secondly, the study aims to assess the current stage of the development and application of these technologies on the example of the North-West of Russia. This assessment may be of interest for understanding the advantages of the technologies’ use and the possibility of their distribution. The article describes the application of post-industrial technologies, giving examples of their use for attracting business and expanding the functions and responsibilities of regional authorities. Based on the structural method, post-industrial technologies were divided into various types: renewable energy sources, nanotechnologies, and information and communication technologies (ICTs). The article shows their distribution across the regions of the North- West of Russia, companies that implement post-industrial technologies and their products. The paper reveals the characteristics and definition of post-industrial technologies, as well as the specificity of their application in regions. In the North-West of Russia, regions with large resources in wind and water as well as partly solar energy sectors use renewable energy sources applying hybrid power systems (wind/solar, wind/solar/diesel) to supply power to remote small villages without centralised electricity systems. Nanotechnology are applied in the production of composite materials, metal-ceramic materials, nanoelectronics, laser cladding. Biotechnologies are used for processing animal waste and resources of the White Sea for the production of compound fertilisers, fast-degradable polymers, and biocomposites. Digital technologies are applied for the development of smart cities, smart power system, digital shipyard, robotics with artificial intelligence elements. The paper identifies the field of business application of post- industrial technologies, highlighting the increasing localisation and individualisation of production due to such technologies. The research results can be used for the elaboration of socio-economic development strategies, recommendations for business structures in the implementation of post-industrial technologies. Further studies should focus on the economic analysis of postindustrial technologies application, their convergence in production processes.
42
Pan, Qianqian, and Gang Yang. "Application of mining algorithm in personalized Internet marketing strategy in massive data environment." Journal of Intelligent Systems 31, no. 1 (2022): 237–44. http://dx.doi.org/10.1515/jisys-2022-0014.
Full textAbstract:
Abstract Internet marketing requires a personalized marketing strategy. In this study, the application of data mining in personalized Internet marketing was studied. Based on the mining algorithm, a personalized marketing method was designed. Through the calculation of frequent closed item sets and support counts of positive and negative samples, the interval with a high success rate for marketing was obtained. With performance analysis, it was found that the success rate of the marketing method proposed in this study improved 8% compared with the traditional marketing method and had a better performance under the smaller interval number and smaller minimum success number. After applying the designed method in telecommunication enterprise A, it was found that after adopting the marketing method of this study, the marketing success rate of enterprise A increased from 2.72 to 6.31%, which indicated the effectiveness of the method. The research results of this study verify the role of data mining algorithms in Internet marketing, which is conducive to the further application of mining algorithms in personalized marketing and innovation of business modes.
43
Hakim, Lystiana Nurhayat, Arga Sutrisna, and Sundari Purwaningsih. "Pelatihan Strategi Pemasaran Pelayanan Konsumen dan English for Tourism and Business bagi Pelaku Usaha Desa Wisata Pangandaran." Lumbung Inovasi: Jurnal Pengabdian kepada Masyarakat 7, no. 4 (2022): 550–57. http://dx.doi.org/10.36312/linov.v7i4.923.
Full textAbstract:
Pelaku usaha di Desa Wisata Pangandaran menjadi salah satu SDM wisata yang terdampak pandemi Covid 19. Ketidaksiapan akan krisis dan pandemi ini merupakan hasil dari rendahnya kecerdasan emosional para pelaku usaha sehingga menurunkan kinerja mereka dalam melakukan strategi pemasaran dan pelayanan konsumen. Disamping itu karena tidak adanya wisatawan asing yang berkunjung ke Desa Wisata Pangandaran selama dua tahun terakhir membuat para pelaku usaha lupa dan canggung dalam menggunakan bahasa Inggris dan hal ini akan sangat merugikan mereka. Merujuk pada permasalahan tersebut maka tujuan pelatihan strategi pemasaran, pelayanan konsumen, dan English for Tourism and English for Business ialah untuk melatih kemampuan pelaku usaha dalam memahami informasi tentang prilaku konsumen dan mengidentifikasi tahapan pemasaran, meningkatkan kualitas pemasaran dan pelayanan, serta kualitas bahasa Inggris para pelaku usaha, dan menginisiasi pembuatan Klinik Bisnis bagi pelaku usaha di Desa Wisata Pangandaran yang akan difasilitasi oleh laboratorium bisnis Program Studi Manajemen dan laboratorium Bahasa Program Studi Pendidikan Bahasa Inggris. Kegiatan pelatihan dilakukan selama 8 pertemuan. Hasil kegiatan ini diantaranya adanya peningkatan pemahaman para pelaku usaha tentang EQ dalam berwirausaha, berubahnya mindset para pelaku usaha dalam melakukan pemasaran dan pelayanan konsumen, dan meningkatknya kemampuan berbahasa Inggris untuk wisata dan bisnis bagi para pelaku usaha. Marketing Strategy, Consumer Service, and English for Tourism and Business Training for Pangandaran Business Actor Business actors in Pangandaran are one of the great sources of increasing income and expanding job opportunities for the community there. However, their low emotional intelligence and unpreparedness for the crisis and pandemic of Covid-19 caused an increase in unemployment and bankruptcy. The pandemic also decreases their performance in implementing marketing and customer service strategies. In addition, the absence of international visiting Pangandaran for the past two years has made them forget and doubt in using English. Referring to these problems, the training on ESQ, marketing strategy assistance and customer service, and ESP are needed. The training aims to increase participants' understanding and ability about consumer behaviour, marketing stages, marketing and service, and English. The training was held in 8 meetings. The results of these activities showed that 1) their understanding of EQ in entrepreneurship is increasing, 2) their mindset in marketing and customer service is changing, and 3) their English for tourism and business ability has improved.
44
ZHELIKHOVSKA, Maiia. "MODELING OF THE LOGISTICS SYSTEM OF THE ENTERPRISE IN THE CONDITIONS OF THE DIGITAL ECONOMY." Herald of Khmelnytskyi National University. Economic sciences 308, no. 4 (2022): 50–55. http://dx.doi.org/10.31891/2307-5740-2022-308-4-8.
Full textAbstract:
In a globalized world characterized by technological changes, interactions between economic and social actors are crucial to exploit market opportunities and maximize resource efficiency. The digital transformation of the economy creates the prerequisites for the emergence of technological tools with fundamentally new properties, which are driven by the industrial implementation of artificial intelligence technologies, cloud computing and other innovative products. Production and logistics systems that support the life cycle of promising technical systems are also becoming active components of a single network of intelligent machines operating on the basis of Internet technologies. The problems of logistics remain relevant, because the successful functioning of any organization and its competitiveness directly depend on the competent interaction of all subsystems of the enterprise, including the logistics one. Organizations that cannot adapt to today’s information exchange and business process management requirements will find it harder to add value to their products and services. Digital transformation is a leading trend that reflects the development vector of the economy and society as a whole. The implementation of digital technologies in the logistics processes of the enterprise should be considered as an integral part of the development of the logistics system and the enterprise in general in modern conditions. The implementation of modern digital technologies in logistics activities leads to changes in business models and strategic planning; improves interaction between all participants of the logistics process; increases the productivity of activities and, as a result, increases the competitiveness of logistics enterprises in the market. In the conditions of rapid digitization, there is a need to master current delivery channels and formats, analyze big data, automate processes, implement blockchain and robots. The logistics industry is becoming one of the drivers of digitalization.
45
Koos, Stefan. "Consistency and Law Comparison in Consumer Protection Law Design in the Light of the Socially Responsible Market Economy Approach." Indonesian Journal of Economics, Social, and Humanities 3, no. 2 (2021): 97–104. http://dx.doi.org/10.31258/ijesh.3.2.97-104.
Full textAbstract:
Social justice is an essential issue in the development of Indonesian law of the 21st century. Consumer protection is an aspect of social justice because it maintains "equality of arms" between suppliers and consumers. The more technological developments are integrated into social life and thus also into the business competition process, the greater the importance of consumer protection becomes, because the use of disruptive technologies, for example artificial intelligence, can shift the balance between providers and consumers in favour of economically strong providers. This will lead to the need to redefine the position of consumer protection in the Indonesian legal system. Law No. 8/1999 on Consumer Protection in its current form follows a rather ambiguous systematic approach by not clearly distinguishing between individual and social-functional protection purposes of consumer protection. The article argues for creating the methodological framework for a possible revision of the Indonesian consumer protection law with a strong integration of cultural-empirical and scientific-systematic viewpoints.
46
Nopas, Dech-siri, Wirathep Pathhumcharoenwattana, and Archanya Ratana-Ubol. "The Understanding about Cultural Intelligence of Cabin Crew from Thailand's International Airlines." Higher Education Studies 12, no. 2 (2022): 84. http://dx.doi.org/10.5539/hes.v12n2p84.
Full textAbstract:
In the airline business, cabin crew are the employees who have direct contact with passengers. They are in an occupational group that generally has to face many difficulties in the workplace. In addition to their responsibilities to ensure the safety of the flight, one particular issue that creates tremendous stress for cabin crew is when they have to serve passengers from other different cultures. This study explores the understanding of cabin crew from the international airlines concerning cultural intelligence. The key informant of 12 cabin crew were selected from the international airlines in Thailand. Interview approach was used to collect the data using an in-depth interview form which was then analyzed by using content analysis. The findings revealed 1) there is the importance of knowing cultural intelligence for cabin crew from the international airlines, 2) it is not just the skills to deal with the passengers but everyone in workplace, 3) everyone is different, 4) their experiences matter, 5) we should think, learn, plan, and act, 6) we also should embrace and adapt the Thai cultures that have already existed to the world, 7) it is important to learn knowledge through the diversities and differences, 8) and also learn the knowledge through experiences, 9) we should realize the awareness of cultural diversity and difference. 10) we should expand the perspective since the world is bigger than you think, 11) we should discuss and learn the shared understanding and involvement in cultural diversity and difference for every cabin crew, and 12) we should identify the appropriate actions to effectively work and deal with people from different cultural backgrounds. The study summarized, then proposed the findings of overall understanding about cultural intelligence of cabin crew to Thailand&rsquo;s international airlines organization. The researchers proposed the outcomes to the research institutions, the academic institutions, and the airline organizations in Thailand and around the world.
47
Shcherbakova, Olesya V. "The use of digital technologies in pre-trip and post-trip medical examinations — the legal aspect." Russian Journal of Occupational Health and Industrial Ecology 61, no. 8 (2021): 515–20. http://dx.doi.org/10.31089/1026-9428-2021-61-8-515-520.
Full textAbstract:
One of the duties of an employee as a subject of labor legal relations is the obligation to undergo established pre-trip, pre-shift, and post-trip, post-shift medical examinations. The digitalization of all spheres of public life, the erasure of spatial boundaries, the development of artificial intelligence naturally change the procedure for conducting these types of medical examinations. The purpose of this article is to identify the main proposals for changing the procedure for carrying out these types of medical examinations, as well as to analyze their legality from the point of view of the current legislation. In the course of the study, the current legislation was analyzed, collisions, gaps and difficulties in its application by business entities were identified when organizing and conducting pre-shift, pre-trip and post-shift, post-trip medical examinations. The results of pilot studies and analysis of judicial practice on these issues are presented. The objects of research were the official websites of manufacturers of software and hardware systems used for conducting pre-shift, pre-trip and post-shift, post-trip medical examinations remotely. It is concluded that the remote method of conducting pre-trip, pre-shift, and post-trip, post-shift medical examinations does not comply with the law, as well as the need for administrative control over the quality of pre-trip, pre-shift, and post-trip, post-shift medical examinations.
48
Das, Rakhal, Anjan Mukherjee, and Binod Chandra Tripathy. "Application of Neutrosophic Similarity Measures in Covid-19." Annals of Data Science 9, no. 1 (2021): 55–70. http://dx.doi.org/10.1007/s40745-021-00363-8.
Full text
49
Matits, Pal. "INDUSTRY 4.0 TO YOUR INDUSTRIAL CAMPUS." SYNCHROINFO JOURNAL 8, no. 5 (2022): 26–33. http://dx.doi.org/10.36724/2664-066x-2022-8-5-26-33.
Full textAbstract:
The Fourth Industrial Revolution, 4IR, or Industry 4.0, conceptualizes rapid change to technology, industries, and societal patterns and processes in the 21st century due to increasing interconnectivity and smart automation. A part of this phase of industrial change is the joining of technologies like artificial intelligence, gene editing, to advanced robotics that blur the lines between the physical, digital, and biological worlds. Throughout this, fundamental shifts are taking place in how the global production and supply network operates through ongoing automation of traditional manufacturing and industrial practices, using modern smart technology, large-scale machine-to-machine communication (M2M), and the internet of things (IoT). This integration results in increasing automation, improving communication and self-monitoring, and the use of smart machines that can analyze and diagnose issues without the need for human intervention. Amid the hype surrounding Industry 4.0, IIOT, and digital transformation, the introduction of Industry 4.0 has caused a bit of a culture shock for manufacturers. The benefits of data-driven manufacturing are far too significant to ignore and will enable many to deliver competitive advantages in an ever-competitive landscape. Digital transformation is about changing business models and about companies not just taking advantage of the huge opportunities created by these latest technologies but also preparing for their constant evolution. These new models for technology-enabled manufacturing have already moved into the implementation phase by many of the world’s top manufacturers. However, a great deal of hesitancy exists for many manufacturers to embrace the technology and modernization that solves these new challenges.
50
Nesterova, Marja, Agostino Portera, and Marta Milani. "DIVERSITY AND INTERCULTURAL COMPETENCE FOR SUSTAINABLE COMMUNITY DEVELOPMENT." Baltic Journal of Economic Studies 8, no. 5 (2022): 127–38. http://dx.doi.org/10.30525/2256-0742/2022-8-5-127-138.
Full textAbstract:
The relevance of the research topic is that modern societies are diverse and face several challenges that appear to threaten sustainable community development. Many of them are related to diversity and intercultural communication issues. The purpose of the article is to determine the main aspects and practical applications of diversity and intercultural competence in the focus of community sustainable development. The objectives are to look through recent publications dedicated to the various aspects of intercultural competence and diversity competence; to analyze and summarize the models of intercultural communication and competence described in recent publications, as well as diversity competences; to formulate the basic principles of diversity management for sustainable development of educational and business communities. Study results. The article outlines the main features of different models of intercultural and diversity competence. The main approaches to intercultural and diversity competence in the educational and business spheres are investigated. A set of key values and key diversity competencies is presented. Part of the study of social cohesion was the change in the parameters of intercultural and diversity competence in a crisis society. Methodology of the research. The theoretical foundations of diversity management are based on a comparative analysis of recent publications on this issue and the results of modern social practice of organizations in the field of diversity management. The methodological and practical foundations of the above research are based on the previous intercultural and social cohesion studies at the National Pedagogical Dragomanov University (now Ukrainian State Dragomanov University). The Social Cohesion Radar Model has been adopted for practical research in the educational community. This made it possible to present some indicators of social cohesion – "acceptance of diversity" and "trust" as key factors for successful communication, social relations, and, consequently, community development. This model provides an understanding of "acceptance of diversity" and "trust" as key components of social cohesion and monitoring their status in different situations of social challenges, including the challenges of the war in Ukraine and the pandemic. A working analogy of the Diversity Radar model for monitoring and assessing diversity intelligence in a community is presented. Practical significance of the research. The study identified the level of acceptance of multicultural diversity in the community and outlined weaknesses for further strengthening with appropriate social and educational tools. The article collects and analyzes various diversity competencies and practical steps to develop diverse and sustainable communities, especially educational ones.