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Nosirova, Malikabonu, and Omar Ashurbayev. "Innovation in Organizational Growth and Sustainability." Multidisciplinary Journal of Science and Technology 4, no. 12 (2024): 632–37. https://doi.org/10.5281/zenodo.14542915.
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Change has been the key in every organization as every organization strives to remain nominally competitive and design a better product, service or process. New technologies and non-standard approaches provide an opportunity to save time and means and meet the customer’s requirements. Organizations are always innovating and hence are flexible when the market is unpredictable and hence sustainable.
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Lichtenthaler, Ulrich. "The world’s most innovative companies: a meta-ranking." Journal of Strategy and Management 11, no. 4 (2018): 497–511. http://dx.doi.org/10.1108/jsma-07-2018-0065.
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Purpose The purpose of this paper is to develop a meta-ranking of the world’s most innovative firms, which underscores the importance of external perceptions of innovativeness and of an innovation-based view on firm performance, including product, service, process, business model, management and organizational innovation. Design/methodology/approach This is an exploratory empirical paper, which integrates the results of five rankings of the world’s most innovative companies. Findings The five innovation rankings include a variety of companies based on different methods and strategic focus. This variety underscores the importance of a meta-ranking, whose multiple aggregation methods lead to consistent results. Only the following 11 companies are mentioned in at least three rankings, leading to a list of the 11 most innovative companies in the world: Amazon, Apple, Tencent, Google/Alphabet, Netflix, SpaceX, Tesla, Microsoft, IBM, Intel and General Electric. Overall, the meta-ranking is dominated by US companies from various industries with firms from China gaining importance. Originality/value The paper contributes to research into innovation antecedents and consequences by illustrating the importance of innovation perceptions. The meta-ranking highlights the need for pursuing different types of innovation, following the innovation-based view on firm performance with first-order and second-order innovations. Moreover, the results deepen our understanding of digital transformation and of capturing value from innovation in the digital economy because a considerable portion of the leading innovators has a business model emphasizing artificial intelligence and digital platforms, which have led to the generation of new and to the disruption of established markets.
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Yin, Eden, Shaz Ansari, and Naseem Akhtar. "Radical Innovation, Paradigm Shift and Incumbent’s Dilemma The Case of the Auto Industry." Future Studies Research Journal: Trends and Strategies 9, no. 1 (2017): 138–48. http://dx.doi.org/10.24023/futurejournal/2175-5825/2017.v9i1.301.
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Radical innovations often upend the incumbents firms and even render them obsolete (Ansari & Krop, 2012; Benner, 2010), as these firms often have great difficulties in addressing the challenge posed by these innovations due to inertia (Ghemawat, 1991), tendencies to exploit existing competences (Levinthal & March, 1993; O’Reilly & Tushman, 2008), organizational rigidity (Beonard-Barton, 1992), complacency and internal culture (Tellis, 2006), problems in the incentive system and resource allocation process (Christensen, 1997), and gap in the organizational capabilities required for embracing the new technology (Henderson, 2006; Tushman & Anderson, 1986). However, as radical innovations become increasingly frequent across industries, responding to this serious threat has become a strategic priority for many incumbent firms.Research shows that incumbents survive or even prosper in the face of radical innovations by forging effective partnerships with challenger firms (Ansari & Krop, 2012), establishing a separate entity to fend off the threat (Christensen, 1997; Christensen, Raynor & McDonald, 2015), better evaluation and investment approach (Hill & Rothaermel, 2003), appropriately configuring organizational form and structure (Ansari & Krop, 2012), coupling their basic research function with applied research functions (Hill & Rothaermel, 2003), possessing downstream complementary assets critical for the commercialization of the new technology (Ansari & Krop, 2012; Hill & Rothaermel, 2003), and more importantly by possessing a high willingness to cannibalize their core business (Chandy and Tellis, 1998). Incumbents can also thrive or overcome the so-called incumbent’s curse by pioneering radical innovations by themselves (Chandy and Tellis, 2000).Previous studies on radical innovations focus primarily on a single product (e.g., Chandy and Tellis, 1998, 2000), technological or business model innovation (Ansari & Krop, 2012; Christensen, 1997; Hill & Rothaermel, 2003). These innovations may have the potential to shrink the incumbents’ marketspace, e.g., Gemesis’ synthetic diamonds challenging the natural diamonds (McAdams and Reavis, 2008), EasyJet challenging mainstream airlines such as BA, Netflix challenging the traditional movie rental business (Leonhartdt, 2006), or displace the incumbent market leader, e.g., IBM PC and its clones destroyed minicomputer makers such as DEC, Wang, Apollo and so on. Yet, they do not often disrupt the entire industry. But in recent years, more industry-wide disruptions have occurs due to emerge of not a single radical innovation but an array of them simultaneously from within or outside of a particular industry. In this process, it is not just the incumbent market leader or a few incumbent firms but the entire value chain, ecosystem or industry get displaced, the so-called paradigm shift, e.g., GPS device by software companies such as Google and Waze, desktop computing by mobile devices, and the traditional auto industry centered around the internal combustion engine by peer-to-peer service provider (e.g., Uber), consumer electronics (e.g., Apple), battery-driven vehicle (e.g., Tesla), and software companies (e.g., Google, Amazon). When this happens, incumbents are not fighting against a particular firm or a few firms that have introduced radical innovations based on similar technologies, but an army of very diverse entrants that are disrupting the entire industries from various directions, some of which are from remote industries with vastly different organizational capabilities, mindset and business model. How incumbents of the existing ecosystem should best cope with the massive and dramatic industry-level disruption induced by multiple radical innovations along a number of fronts or paradigm shift has largely remained unexamined. In the face of paradigm shift, can the above mentioned strategies or tactics for incumbents to combat single radical innovation or firm be adequate to deal with the fundamental existential threat? If not, what should be the appropriate strategies for them to survive or even thrive in the advent of a paradigm shift? In this paper, we attempt to sketch out a research framework to investigate this important issue.
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Ahmad, Mokhtarrudin, Alex Winarno, Kavitha Balakrishnan, Mahir Pradana, Aznul Fazrin Abu Sujak, and Raja Razana Raja Razali. "Engaging the digital generation: Youth gratifications and innovation readiness in Malaysia’s digital television era." Journal of Infrastructure, Policy and Development 9, no. 2 (2025): 10991. https://doi.org/10.24294/jipd10991.
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With the technology advance in broadcasting arena, Malaysian Government has upgraded Free-To-Air (FTA) Television Channels from analogue to digital in the Digitalisation Initiative launched in 2019. On the other hand, most of viewers especially young generation has switched from watching television to more high-quality channels provided via digital pay television such as ASTRO, web-based television such as Unifi TV and video on demand channels such as Iflix and Netflix. At the same time, most of the younger generation are ready to accept any innovation introduced by provider. Therefore, this paper aims to identify uses and gratifications level among youth, innovation readiness among youth, relationship between uses and gratifications as well as innovation readiness as a mediating factor between uses and gratifications. This research employs quantitative approach and data was collected via purposive sampling from 14 states including Federal Territory in Malaysia involving 350 respondents. Questionnaire was created via Google Form and was distributed to all respondents via enumerators that were officially appointed in every state in Malaysia. The findings indicate that usage has a significant relationship with gratifications among users, and innovation readiness serves as a key factor that enhances users’ levels of gratification after utilizing Digital FTA.
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Raghu Chukkala. "The future of human-AI collaboration in software development: Automating code, deployment and testing." World Journal of Advanced Engineering Technology and Sciences 15, no. 2 (2025): 312–20. https://doi.org/10.30574/wjaets.2025.15.2.0501.
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The rapid advancement of artificial intelligence is fundamentally transforming software development processes, ushering in a new era of human-AI collaboration rather than replacement. This article examines how Large Language Models (LLMs), generative AI, and machine learning algorithms are revolutionizing coding, deployment, and testing workflows. AI-powered tools are enabling developers to generate entire functions from natural language prompts, predict deployment failures before they occur, and create comprehensive test suites that identify edge cases human testers might miss. Through case studies from industry leaders like Microsoft, Google, Netflix, Meta, and Airbnb, this article demonstrates that AI integration leads to substantial improvements in productivity, code quality, and developer satisfaction. However, significant challenges remain, including security vulnerabilities in AI-generated code, bias in automated testing systems, and the paradox of human oversight diminishing as automation increases. The article concludes that the most promising future lies in a synergistic collaboration that leverages AI for routine tasks while preserving human creativity, ethical judgment, and contextual understanding for complex problem-solving and innovation.
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Yu, Seon Yeong, Mi Jin Noh, Yang Sok Kim, and Mu Moung Cho Han. "A study of changes in user experience and service evaluation: Topic modeling of Netflix app reviews." Korean Institute of Smart Media 12, no. 6 (2023): 27–34. http://dx.doi.org/10.30693/smj.2023.12.6.27.
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As Netflix usage has increased due to the COVID-19 pandemic, users' experiences with the service have also increased. Therefore, this study aims to conduct topic modeling analysis based on Netflix review data to explore the changes in Netflix user experience and service before and after the COVID-19 pandemic. We collected Netflix app review data from the Google Play Store using the Google Play Scraper library, and used topic modeling to examine keyword differences between app reviews before and after the pandemic. The analysis revealed four main topics: Netflix app features, Netflix content, Netflix service usage, and Netflix overall reviews. After the pandemic, when user experience increased, users tended to use more diverse and detailed keywords in their reviews. By using Netflix review data to analyze users' opinions, this study shows the changes in user experience of Netflix services before and after the pandemic, which can be used as a guide to strengthen competitiveness in the competitive OTT market.
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Hsiao, Yu-Hao. "The Business Strategy Analysis of Netflix." Transactions on Social Science, Education and Humanities Research 11 (August 20, 2024): 760–67. http://dx.doi.org/10.62051/tjhh1617.
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Netflix has undergone some actual revolution since its founding in 1997. This article introduces the way the strategic development of Netflix has turned it into a giant of streaming services from a simple form for renting DVDs. Utilizing a variety of theoretical frameworks and industry analyses, the paper analyzes Netflix's subscription-driven revenue model, innovation in original content investments, globalization efforts, and technology-driven innovation. The paper will discuss the international expansion strategy of Netflix, involving the need for localization of content and acquisition of content at the entrance of the company in the foreign market, and further appraises technological innovations at Netflix, such as AI and machine learning, VR and AR, and how they contribute to improvements in service outcomes and enhancements in engagement. The Personalization and recommendation technologies could be technologically advanced in enabling Netflix to become personal in its recommendations and, consequently, give an immersive entertainment experience, all from a global audience. In such a course, Netflix has seen unseemly success so far; nevertheless, some challenges remain. Content cost pressures, competition from foreign and domestic rivals, and consumers changing their preferences are to name a few. International expansion, diversification of content offerings, and partnership with the same business lie in growth and innovation paths. In this respect, Netflix will emerge as the preeminent player in the dynamic ecosystem of the entertainment industry by exploiting sustainability, adaptability, and innovation.
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Sekartaji, Swelana. "THE FOUR FACTORS DOMINATING ONLINE STREAMING PLATFORMS AS WITNESSED BY NETFLIX IN THE WAKE OF GLOBALIZATION." Rubikon : Journal of Transnational American Studies 10, no. 2 (2023): 161. http://dx.doi.org/10.22146/rubikon.v10i2.86392.
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The globalization process has increased everything's accessibility and connectivity. Through information and technology, globalization makes it easier to move products, services, cultures, innovations, and creative ideas. As one of the most popular online streaming services, Netflix is fostering cross-cultural exchanges as part of the increasing globalization of capitalism. The author uses written sources, information, and evidence in the form of quotes from written works, written papers, and written responses to articles, reports, publications, and statistical data that are pertinent to Netflix. The author will apply globalization theory and a transnational approach to investigate why individuals favor Netflix over alternative online streaming services. These two theories are implemented in elaborating four dominant factors that Netflix has influenced the new habit patterns in today's society. Market growth will always play a role in globalization-related economic and cultural activities and processes. As a result, four key elements affect Netflix’s market dominance: substitution, barriers to entry and potential competition, measures of profitability, and market share.
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Xin, Yee Goh. "What Do You Think About the Service of Netflix? A Study on The Successful Pathway of Netflix." Advances in Global Economics and Business Journal 4, no. 2 (2023): 1–14. https://doi.org/10.51748/agebj.v4i2.80.
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Nowadays, cinemas are not the only place to watch a movie. Netflix will become a better choice for everyone to watch movies as well as television drama series. Netflix users are able to watch any movies and television drama series anywhere anytime they wish. Undoubtedly, Netflix is a good platform for everyone to entertain themselves by watching movies as it is very convenient. Hence, this study will examine the factors that affect customer satisfaction with the service provided by the Netflix company in order to make themselves a success in the peer industry. This study employs survey data from Malaysian citizens by spreading the Google Form in media social platforms such as Telegram groups. The result shows Service quality, Brand image, and Brand loyalty are the factors that affect customer satisfaction. Besides that, the findings of this study suggest that Ease of use is the only construct that should be aware of by Netflix company in order to increase customer satisfaction.
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Febriyanto, Gilang, and Ananto Basuki. "Pengaruh Ewom, Citra Merek Dan Kepercayaan Merek Terhadap Keputusan Pembelian." Jurnal Manajemen Pemasaran dan Perilaku Konsumen 3, no. 3 (2024): 669–79. http://dx.doi.org/10.21776/jmppk.2024.03.3.10.
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This research discusses how eWOM, brand image, and brand trust influence purchase decision although it is undeniable that there are other variables not examined in this study which also affect purchase decision. The objective of this study is to identify the effects of eWOM, brand image, and brand trust on the decision of Universitas Brawijaya students to subscribe Netflix’s service. The sample of this quantitative causal research is 100 Netflix users, selected through purposive sampling technique. The research data was harvested from online questionnaires using Google Forms and was analyzed using multiple linear regression in SPSS 25. This study finds that eWOM, brand image, and brand trust significantly affect the decision of Universitas Brawijaya students to subscribe Netflix’s service. Further, brand image was found to be the most influential among the three aforementioned variables. Hence, it can be concluded that brand image created by Netflix plays a crucial role in enhancing purchase decision. Abstrak Dalam penelitian ini membahas bagaimana pengaruh dari EWOM, citra merek, dan kepercayaan merek terhadap keputusan pembelian, namun tidak dapat dipungkiri bahwa masih ada variabel lain yang tidak diteliti oleh peneliti yang juga dapat mempengaruhi keputusan pembelian. Penelitian ini bertujuan untuk mengetahui pengaruh EWOM, citra merek, dan kepercayaan merek terhadap keputusan berlangganan Netflix pada mahasiswa Universitas Brawijaya. Metode penelitian ini menggunakan metode kuantitatif dengan jenis penelitian causal research. Dalam penelitian ini sampel yang digunakan adalah sebanyak 100 pelanggan Netflix dengan penyebaran kuesinoner dilakukan secara online menggunakan google form dan menggunakan teknik purposive sampling. Analisis data yang dilakukan menggunakan analisis regresi linier berganda menggunakan SPSS 25. Hasil dari penelitian ini menunjukkan bahwa EWOM, citra merek, dan kepercayaan merek berpengaruh secara signifikan terhadap keputusan berlangganan Netflix pada mahasiswa di Universitas Brawijaya Malang. Pada penelitian ini, variabel citra merek paling berpengaruh pada keputusan pembelian. Maka dapat disimpulkan bahwa citra merek yang dibangun oleh Netflix memiliki peran yang sangat penting dalam meningkatkan keputusan pembelian.
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Nelsa, Putri, Anggraeni Xena Paradita, Fairuz Fernanda Hermawan, Muhamad Yazid Ghifari, and Muharman Lubis. "Netflix's Digital Transformation Strategy: A Systematic Review of Challenges and Risk Mitigation Approaches." JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) 10, no. 2 (2025): 1133–43. https://doi.org/10.29100/jipi.v10i2.5927.
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Digital transformation requires organizations to quickly adapt and keep up with technological changes and developments to remain competitive. Implementing transformation helps improve performance, efficiency, revenue, and organizational culture. However, the process is complex, difficult, and high-risk. Failure in digital transformation can be highly detrimental due to the significant investments required in terms of material and human resources. Not only do some organizations fail, but many are also able to overcome these challenges and succeed in transforming in the desired direction. One large and successful company in digital transformation is Netflix. This large streaming-based company is interesting to analyze for its achieved success. This study's purpose is to identify and analyze the strategies used by Netflix in overcoming challenges and risks during the digital transformation process. This study employs the Systematic Literature Review (SLR) method. Information was gathered from journals and articles spanning the last 4-5 years. This search used tools such as Google Scholar, Semantic Scholar, and an application called Publish Perish8, with keywords like "Transformasi digital," "Strategy digital," and "Netflix" in Indonesian, and "digital transformation," "digital strategy," and "Netflix" in English.
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Shariffadeen, Tengku Siti Aisha Tengku Mohd Azzman, Aini Maznina A. Manaf, and Tak Jie Chan. "The Mediating Role of Parasocial Interaction in the Relationship Between Loneliness and Netflix Binge-Watching Tendencies: A Case Study of Malaysian University Students During the COVID-19 Pandemic." Jurnal Komunikasi: Malaysian Journal of Communication 39, no. 4 (2023): 542–60. http://dx.doi.org/10.17576/jkmjc-2023-3904-29.
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Streaming services such as Netflix are already penetrating the mainstream market in Malaysia. Netflix offers a wide range of binge-worthy content to young adults, such as K-dramas, anime, thrillers, rom-coms, sitcoms, or reality television shows. As a newer form of media engagement, media researchers are just beginning to understand the meaning of binge-watching, and how motivation to binge-watch (MBW) predicts binge-watching tendencies (BWT). Research on parasocial relationships formed with Netflix characters and how they influence BWT is also relatively scarce. Thus, we seek to identify predictors of BWT from the uses and gratification (U&G) perspective. We predict that parasocial interaction (PSI) will mediate the relationship between loneliness and binge-watching tendencies (BWT). Six hypotheses were tested using zero-order correlations and PROCESS Macro Hayes. A cross-sectional online survey was constructed using Google Forms, and distributed among university students in Malaysia during the COVID-19 pandemic (N = 284). Data was collected from October to December 2021. Four hypotheses were supported; results indicate that PSI, stress relief, and enjoyment predicted BWT. PSI also mediated the relationship between loneliness and BWT. Thus, parasocial relationships formed with Netflix characters prompted lonelier individuals to binge-watch more. The repercussions of these findings on U&G, PSI, and binge-watching literature will be discussed. Keywords: Binge-watching tendencies, loneliness, motivation to binge-watch, parasocial interaction, uses and gratification.
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Wei, Yuxin. "Analysis of the Success of The Netflix Korean Drama the Glory from The Perspective of Cross-cultural Communication." International Journal of Education and Humanities 13, no. 1 (2024): 87–92. http://dx.doi.org/10.54097/sp9jbg04.
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Korean TV dramas have been popular in Asia since the late 20th century and continue to be widely watched in countries like Japan and China. Initially focusing on romance and idol dramas, Korean dramas have expanded their themes to include innovations inspired by Western productions, covering genres such as zombies and politics, resulting in an increasingly diverse range of content. Moreover, in recent years, collaborations between Netflix and Korean TV dramas have further enhanced Korea's cultural exports. This article will analyze the success factors of Netflix's collaboration with Korean TV dramas, focusing on aspects such as scriptwriting, audiovisual language, and marketing strategies, using the TV drama "The Glory" as a case study.
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Rosalinda, Gina, Rukun Santoso, and Puspita Kartikasari. "PEMODELAN TOPIK ULASAN APLIKASI NETFLIX PADA GOOGLE PLAY STORE MENGGUNAKAN LATENT DIRICHLET ALLOCATION." Jurnal Gaussian 11, no. 4 (2022): 554–61. http://dx.doi.org/10.14710/j.gauss.11.4.554-561.
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Reviews given by application users have an essential role in the decisions of potential users before deciding to use a service. Users can provide reviews of application services on the Google Play Store. A large number of reviews makes the data collection and analysis difficult if done manually. Therefore, a particular method is needed to collect and analyze these reviews automatically to obtain the hidden essential information. Topic modeling is an extension of text analysis that can find main themes or trends hidden in large sets of unstructured documents. This study applies topic modeling with the Latent Dirichlet Allocation (LDA) method for Netflix application review data sourced from the Google Play Store web. The Latent Dirichlet Allocation (LDA) method is a probability model from textual data that can explain the hidden semantic themes in the review document. This research aims to analyze hidden topics that application users discuss. The results of topic modeling show that of the twelve topics generated, the most discussed topic by users is payment methods.
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Dr., Sushil Mavale, and Singh Ramandeep. "Study of Perception of College Going Young Adults towards Online Streaming Services." International Journal of Engineering and Management Research 10, no. 1 (2020): 111–15. https://doi.org/10.31033/ijemr.10.1.18.
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<strong>The research conducted focuses upon the perception of college going young adults towards online video streaming services. Researcher has worked upon responses gathered from young adults, their perceptions and various options available to them. Researchers collected responses from 120 college going young adults from Pune. The respondents were from the age category of 15 to 25 years of age. The data was collected using google forms and it was analysed using Google’s analytical tools. It was found that most of the student services and these services proved to be one of the biggest sources of entertainment for these students. Traditional media is losing its lustre because of various advantages of streaming services. Students admitted that their schedule is affected because of time spent on video streaming services. Today the top three video streaming platforms are YouTube, Netflix and Hotstar. </strong>
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Meena, Munesh, and Ruchi Sehrawat. "Breakdown of Machine Learning Algorithms." Recent Trends in Artificial Intelligence & it's Applications 1, no. 3 (2022): 25–29. http://dx.doi.org/10.46610/rtaia.2022.v01i03.005.
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Machine Learning (ML) is a technology that can revolutionize the world. It is a technology based on AI (Artificial Intelligence) and can predict the outcomes using the previous algorithms without programming it. A subset of artificial intelligence is called machine learning (AI). A machine may automatically learn from data and get better at what it does thanks to machine learning. “If additional data can be gathered to help a machine perform better, it can learn. A developing technology called machine learning allows computers to learn from historical data. Machines can predict the outcomes by machine learning. For Nowadays machine learning is very important for us because it makes our work easy. to many companies are using machine learning in their products, like google is using google its google assistant, which takes our voice command and gives what do we want from it, and google is also using its goggle lens form which we can find anything just by clicking a picture, and Netflix is using machine learning for recommendation of any movies or series, Machine learning has a very deep effect on our life, like nowadays we are using selfdriving car’s.
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Matysik, Sebastian. "INNOVATIONS IN COMPANIES OFFERING SEO SERVICES IN POLAND." Zeszyty Naukowe Wyższej Szkoły Humanitas Zarządzanie 25, no. 3 (2024): 121–33. http://dx.doi.org/10.5604/01.3001.0054.7775.
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The paper is the attempt to respond to the research gap concerning innovations implemented by enterprises in the SEO - Search Engine Optimization service, sector. Innovations often determine the enterprises’ possibility to function in a dynamically changing environment, especially in the SEO services sector, where entities’ activities depend on actions provided by the Google external corporation. This is an extremely interesting exploration area, which has been discussed in this paper. The following research thesis has been proposed: Companies offering the SEO services in Poland mainly implement business process innovations. Responses to research questions and conclusions have been formulated on the basis of the questionnaire survey as well as on the analysis of trends obtained from the Google Trends tool.
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Sabeeh, Aseel, and Hayder Abdulzahra Shalash. "Using Google Classroom as a Tool for Teaching and Learning from Perspectives of EFL Teachers and Students in Iraq." Journal of University of Babylon for Humanities 30, no. 7 (2022): 1–14. http://dx.doi.org/10.29196/jubh.v30i7.4211.
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In recent years, the world is witnessing the emergence of modern technological innovations that have widely affected people in many fields, including the educational field which is one of the most important areas that have become binding to keep up with the technology and use it in the educational process. Google Classroom is one of those innovations that could facilitate the connection between teachers and students especially in the teaching and learning process. The study aimed to investigate using Google Classroom as a tool for teaching and learning from perspectives of EFL teachers and students. The researchers adopted a mixed method approach, and in order to achieve the aims of the study, two questionnaires and face to face interview were prepared. Their validity and reliability were confirmed. The first sample of the study consisted of (100) EFL students in English Language Department/College of Basic Education in Mustansiriyah University, whereas the second sample consisted of 18 EFL teachers. Both of the questionnaires consisted of 16 items to identify EFL teachers' and students' perceptions towards using Google classroom in teaching and learning. The results of the study revealed that EFL students have positive perceptions towards learning through Google classroom, whereas EFL teachers have negative perceptions towards teaching through Google classroom platform. Conclusion and Recommendations for further studies have also been drawn.
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Eyers, Tony, and Yordanka Krastev. "Ethics in Surgical Innovations from the Patient Perspective." Yearbook of Medical Informatics 29, no. 01 (2020): 169–75. http://dx.doi.org/10.1055/s-0040-1701994.
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Objective: Surgical innovation (SI) can place patients at risk. We sought to explore what clinical information is readily available to patients who have been offered innovative surgical procedures, using two examples drawn from our recent experience: one a surgical technique, and the other a prosthetic material. We wanted to determine from our review the extent to which information available on the Internet might augment the medical literature and help satisfy the ethical requirements for patients to be adequately informed before they proceed with innovative surgery. Methods: A scoping review of the medical literature was performed to look for studies addressing the review aims; targeted searches on Google, YouTube, and patient websites were carried out to find readily available patient information on two chosen innovative surgical procedures. We conducted a content analysis of the selected references to determine the availability, relevance, and the utility of the published information to a layperson. Results: Medical database searches identified 614 records, 91 were screened and only six were relevant. The Internet searches returned thousands of results; however, we limited our screening to the first five pages of results for those sources. From both types of searches, 348 references were excluded because they did not meet the inclusion criteria and 51 were included in the analysis. The findings are presented in four themes: safety and feasibility of the technique, availability and accessibility to a layperson, relevance and utility to a layperson, and commercial information. Conclusion: The review has shown that lay people seeking to find out more about the two innovations would get very little useful information from Google, YouTube, or patient websites. Practitioners offering SI should provide sufficient information to allow their patients to make an autonomous decision about whether to proceed. For major SI, we encourage innovators to develop a plain language statement that would be made available on the Internet to the mutual advantage of both innovators and patients.
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Hernik, Joanna. "The usefulness of big data in creating innovations. The example of Google Trends." Managerial Economics 23, no. 2 (2023): 131. http://dx.doi.org/10.7494/manage.2022.23.2.131.
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A huge amount of data is collected by search engines. According to estimates, the Google search engine, which is dominant on the market, receives billions of search requests daily. Of particular note is that a large part of the collected data is available through the Google Trends service. As a consequence, various types of data can be used by enterprises for their development but they often do not take advantage of this opportunity. Therefore, the purpose of this article is to prove the suitability of the big data concept for creating and implementing product innovations, using the example of Google Trends. Discovering human needs and searching for answers to them is not only the domain of entrepreneurs, therefore this study may have a fairly broad practical applications. By adopting general assumptions, i.e. ones that do not refer to specific products or industries, the author has shown that the presented path may be recreated by both entrepreneurs and creators of political programs, as well as leaders of non-governmental organizations who need to implement innovations. The results revealed the selection of specific ways of entering queries in Google Trends and certain periods of analysis which are the most useful for creating innovations. Descriptive statistics (such as median) clearly show that the results typed in Google Trends are better when taken from a user perspective and can be used to create innovations. Despite substantial differences, the results do not allow for the conclusion that these differences were statistically significant. Thus, preliminary data supports the hypothesis, but more research is needed.
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Wang, Alex, Robert McCarron, Daniel Azzam, Annamarie Stehli, Glen Xiong, and Jeremy DeMartini. "Utilizing Big Data From Google Trends to Map Population Depression in the United States: Exploratory Infodemiology Study." JMIR Mental Health 9, no. 3 (2022): e35253. http://dx.doi.org/10.2196/35253.
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Background The epidemiology of mental health disorders has important theoretical and practical implications for health care service and planning. The recent increase in big data storage and subsequent development of analytical tools suggest that mining search databases may yield important trends on mental health, which can be used to support existing population health studies. Objective This study aimed to map depression search intent in the United States based on internet-based mental health queries. Methods Weekly data on mental health searches were extracted from Google Trends for an 11-year period (2010-2021) and separated by US state for the following terms: “feeling sad,” “depressed,” “depression,” “empty,” “insomnia,” “fatigue,” “guilty,” “feeling guilty,” and “suicide.” Multivariable regression models were created based on geographic and environmental factors and normalized to the following control terms: “sports,” “news,” “google,” “youtube,” “facebook,” and “netflix.” Heat maps of population depression were generated based on search intent. Results Depression search intent grew 67% from January 2010 to March 2021. Depression search intent showed significant seasonal patterns with peak intensity during winter (adjusted P<.001) and early spring months (adjusted P<.001), relative to summer months. Geographic location correlated with depression search intent with states in the Northeast (adjusted P=.01) having higher search intent than states in the South. Conclusions The trends extrapolated from Google Trends successfully correlate with known risk factors for depression, such as seasonality and increasing latitude. These findings suggest that Google Trends may be a valid novel epidemiological tool to map depression prevalence in the United States.
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Winseck, Dwayne. "Vampire squids, ‘the broken internet’ and platform regulation." Journal of Digital Media & Policy 11, no. 3 (2020): 241–82. http://dx.doi.org/10.1386/jdmp_00025_1.
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Google, Apple, Facebook, Amazon, Microsoft and Netflix have come under intense criticism for acquiring undue influence on the media, economy, society and democracy. Google and Facebook’s business models, especially, are cast as a form of ‘vampire economics’ responsible for the crisis of journalism and upending the media industries. Many media scholars argue that since the platforms increasingly function like media companies, media policy should be our North Star with respect to what new approaches to internet regulation should look like. This article agrees that a forceful response to the platforms is overdue but criticizes the case against them for too often resting on cherry-picked evidence and an exaggerated sense of their clout, while references to media policy obscure a better approach that draws on four principles from telecoms regulation to guide a new generation of internet regulation: structural separation, line of business restrictions (i.e., firewalls), public obligations and public alternatives.
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Jiménez, Aitor. "The Silicon Doctrine." tripleC: Communication, Capitalism & Critique. Open Access Journal for a Global Sustainable Information Society 18, no. 1 (2020): 322–36. http://dx.doi.org/10.31269/triplec.v18i1.1147.
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This article explores and theorises what is here termed the Silicon Doctrine (SD), that is the legal ideology underpinning the libertarian version of the digital economy promoted (among others) by Facebook, Uber, Apple, Amazon, Netflix and Google. The first part of the text explores the Silicon Doctrine’s Frankensteinian ideological roots. The second part of the text scrutinises three dimensions of the Silicon Doctrine: 1) data extraction; 2) domination of the informational infrastructure; and 3) labour exploitation. This article examines the social contract proposed by Silicon Valley, evaluating its two-sided role as a disruptive breakout from the twentieth century social model, and as a continuation of the neoliberal shock doctrine.
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Garud, Raghu, and Arvind Karunakaran. "Process-based ideology of participative experimentation to foster identity-challenging innovations: The case of Gmail and AdSense." Strategic Organization 16, no. 3 (2017): 273–303. http://dx.doi.org/10.1177/1476127017708583.
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Prior research has examined how organizational identity can enable and constrain innovations. A complementary literature has examined organizational ideology as the basis for actions driving identity-enhancing innovations. We examine how organizational ideology can serve as the basis for identity-challenging innovations through an in-depth study of the emergence of two innovations at Google—Gmail and AdSense. Findings from this study highlight a process-based ideology of participative experimentation. We explicate the constituent elements of this process-based ideology, and discuss its implications for research on innovation and identity.
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Hansyah, Hari Alih, Zainal Arifin, and Ajat Rukajat. "STRATEGI DAN INOVASI GURU PAI DALAM MENINGKATKAN MOTIVASI BELAJAR SISWA DI MASA PANDEMI COVID-19." Jurnal Pendidikan dan Pengajaran Guru Sekolah Dasar (JPPGuseda) 4, no. 3 (2021): 194–99. http://dx.doi.org/10.55215/jppguseda.v4i3.4574.
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STRATEGIES AND INNOVATIONS FOR ISLAMIC RELIGIOUS EDUCATION (PAI) TEACHERS IN INCREASING STUDENT LEARNING MOTIVATION DURING THE COVID-19 PANDEMICThis study seeks to explore the learning process of PAI student learning during the Covid-19 pandemic and how the strategies and innovations of Islamic Education teachers in increasing students' motivation. During the COVID-19 pandemic, the government currently made a policy so that students learn online (online) using internet-based media (online) or commonly called PJJ (Distance Learning), causing students to be required to learn from home (BDR) without can PTM (Face-to-Face Learning) at school or in class directly. This condition certainly greatly affects the student's learning motivation which is decreasing, due to ineffectiveness and the lack of interactive and communication between teachers and students during PJJ. This research method uses qualitative research methods and data collection techniques by means of observation, interviews and documentation where the object of research is the PAI teacher and students of class X IPA 6 at SMAN 5 Karawang. This research shows that there has been a decrease in student motivation during the COVID-19 pandemic with an indicator that many students are not present when the teacher delivers PJJ material and assignments are not done on time, and some do not even do assignments at all. The development of learning strategies carried out by PAI teachers included always attending students during PJJ, assessing the results of student assignments, and invoicing students who had not submitted assignments. Meanwhile, learning innovations made by PAI teachers are implementing PJJ using varied and innovative applications such as Google Mail, Google Internet, Google Classroom, Google Forms, Google Drive, Google Meet, Zoom Meet, Youtube, WhatssApp, PDF and Microsoft Power Point.
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Zuo, Renguang, and Bojun Yin. "Google Earth-aided visualization and interpretation of geochemical survey data." Geochemistry: Exploration, Environment, Analysis 22, no. 2 (2022): geochem2021–079. http://dx.doi.org/10.1144/geochem2021-079.
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Geochemical prospecting is an important and effective approach for discovering mineral deposits. Collection, management, visualization, interpretation, modelling and publishing of geochemical survey data remain challenging. The main aim of this study is to illustrate the application of Google Earth in the visualization and interpretation of geochemical survey data using a dataset collected from the Daqiao district, Gansu Province, China. Google Earth, a free web-based program that provides a rich set of global images along with satellite and map data, can be applied to design geochemical sampling strategies, display geochemical sampling location landscapes, collect and manage geochemical survey data, visualize and publish 0D (point), 1D (profile), 2D (raster map) and 3D (superposition of multiple maps) geochemical maps, and interpret and model geochemical patterns using various Google Earth functions and the Keyhole Markup Language.Thematic collection: This article is part of the Applications of Innovations in Geochemical Data Analysis collection available at: https://www.lyellcollection.org/cc/applications-of-innovations-in-geochemical-data-analysis
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Alarbi, Adel, Wagdi Khalifa, and Ahmad Alzubi. "A Hybrid AI Framework for Enhanced Stock Movement Prediction: Integrating ARIMA, RNN, and LightGBM Models." Systems 13, no. 3 (2025): 162. https://doi.org/10.3390/systems13030162.
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Forecasting stock market movements is a critical yet challenging endeavor due to the inherent nonlinearity, chaotic behavior, and dynamic nature of financial markets. This study proposes the Autoregressive Integrated Moving Average Ensemble Recurrent Light Gradient Boosting Machine (AR-ERLM), an innovative model designed to enhance the precision and reliability of stock movement predictions. The AR-ERLM integrates ARIMA for identifying linear dependencies, RNN for capturing temporal dynamics, and LightGBM for managing large-scale datasets and non-linear relationships. Using datasets from Netflix, Amazon, and Meta platforms, the model incorporates technical indicators and Google Trends data to construct a comprehensive feature space. Experimental results reveal that the AR-ERLM outperforms benchmark models such as GA-XGBoost, Conv-LSTM, and ANN. For the Netflix dataset, the AR-ERLM achieved an RMSE of 2.35, MSE of 5.54, and MAE of 1.58, surpassing other models in minimizing prediction errors. Moreover, the model demonstrates robust adaptability to real-time data and consistently superior performance across multiple metrics. The findings emphasize AR-ERLM’s potential to enhance predictive accuracy, mitigating overfitting and reducing computational overhead. These implications are crucial for financial institutions and investors seeking reliable tools for risk assessment and decision-making. The study sets the foundation for integrating advanced AI models into financial forecasting, encouraging future exploration of hybrid optimization techniques to further refine predictive capabilities.
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Liu, Tingting. "Synergy Model and Benefit Analysis of Digital Intelligent Employees and Human Employees." Journal of Computer Technology and Applied Mathematics 1, no. 3 (2024): 48–54. https://doi.org/10.5281/zenodo.13368399.
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Artificial intelligence (AI) is transforming human resources (HR) because of its capacity to enhance comfort levels, productivity, and health of employees. Workplace safety is improved by artificial intelligence (AI)-driven technologies that track health data, identify hazards at work, and provide personalized health advice. Ergonomics evaluations powered by AI reduce injuries, and chatbots offer immediate support. As AI expedites administrative tasks, enhances productivity evaluation, and ensures accurate payment processing, HR personnel may focus on strategic responsibilities. By identifying talent gaps, offering unbiased feedback instantly, and facilitating HR digitization, artificial intelligence (AI) improves decision-making. Organizational network analysis benefits from AI's ability to identify key players since it promotes collaboration and communication. Case studies from Tesla, Netflix, and Amazon demonstrate the impact of AI. Whereas Amazon leverages AI-human interaction to optimize efficiency and customer satisfaction, Tesla blurs the lines between work and life to highlight concerns with balance. Netflix's machine learning innovations illustrate the uncertainty in the labor market caused by automation.
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Cochrane, Thomas, Laurent Antonczak, and Daniel Wagner. "Post-Web 2.0 Pedagogy." International Journal of Mobile and Blended Learning 5, no. 4 (2013): 1–18. http://dx.doi.org/10.4018/ijmbl.2013100101.
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The advent of web 2.0 has enabled new forms of collaboration centred upon user-generated content, however, mobile social media is enabling a new wave of social collaboration. Mobile devices have disrupted and reinvented traditional media markets and distribution: iTunes, Google Play and Amazon now dominate music industry distribution channels, Twitter has reinvented journalism practice, ebooks and ibooks are disrupting book publishing, while television and movie industry are disrupted by iTunes, Netflix, YouTube, and Vimeo. In this context the authors critique the changes brought about in a case study of film and television higher education from initial explorations of student-generated mobile movie production to subsequent facilitation of international student mobile media co-production teams supported by the development of an international Community of Practice, illustrating new forms of post-web 2.0 pedagogy.
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Adeeba, Nousheen, Naaz Faiza, Sadaff Arshiya, and Hifsa Naaz Syeda. "Film Flare: Movie Recommendation System Using Machine Learning." Journal of Advances in Computational Intelligence Theory 7, no. 2 (2025): 26–35. https://doi.org/10.5281/zenodo.15309889.
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<em>In today's digital entertainment world, the abundance of content on various streaming platforms often leads to user indecision and dissatisfaction. As a solution, recommendation systems play a vital role in filtering content to match user interests. This research presents a robust hybrid recommendation model that merges collaborative and content-based filtering to enhance recommendation quality. Drawing on a rich dataset of 5,000 movies from Kaggle, the model incorporates user ratings and comprehensive movie metadata, including genres, cast, and plot keywords. By integrating both historical user behavior and movie content features, this hybrid approach alleviates the limitations of standalone methods and delivers a personalized viewing experience. The implementation, carried out using Python in Google Colab, validates the model's practicality and scalability through detailed evaluation and real-time </em>demonstrations.
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Ram mohan, R. M., D. Natt, S. R. Magam, et al. "The Future of IBD Management: Insights From AI Innovations With ChatGPT and Google Bard." Endoscopy 57, S 02 (2025): S475—S476. https://doi.org/10.1055/s-0045-1806229.
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Braimah, OE, and AL Okhakhu. "Innovative Healthcare Technologies in Otorhinolarnygological Practice in Sub-Saharan Africa: Strategies for Accelerated Uptake." Western Journal of Medical and Biomedical Sciences 1, no. 1 (2020): 58–63. http://dx.doi.org/10.46912/wjmbs.8.
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Healthcare innovations are geared towards greater patient comfort, improved diagnosis and better treatment outcomes. Otorhinolaryngology (ORL) has witnessed many technological innovations become a core aspect of daily practice. Sub-Saharan Africa is currently lagging behind the rest of the world in both development and uptake of innovative health technologies. This paper aims to examine these innovations in otorhinolaryngology as well as the challenges and routes to their timely deployment in Sub-Saharan Africa (SSA). A literature review was conducted on papers retrieved from Google scholar and Pubmed. Several factors have hampered practitioners in SSA from fully leveraging new technologies. By applying political, legal, economic, educational and scientific strategies these practitioners may adopt safe, effective, home-grown adaptations of emerging technologies for accelerated uptake.
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Pattanayak, Sambhram, Saad Ullah Khan, Fazal Malik, and Sadaf Khan. "Pixelating Bollywood: Navigating media tech in Bollywood's digital shift." Multidisciplinary Reviews 7, no. 9 (2024): 2024188. http://dx.doi.org/10.31893/multirev.2024188.
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This comprehensive analysis scrutinizes Bollywood’s profound metamorphosis in the digital realm, exploring the infusion of advanced media technologies and its consequential impact on filmmaking. The transition from traditional cinematic practices to digital cinematography, employing high-definition cameras and sophisticated postproduction techniques, empowers filmmakers to construct narratives of unparalleled visual richness. The integration of CGI and visual effects broadens creative horizons, transcending traditional filmmaking boundaries. Streaming platforms, led by industry giants such as Netflix and Amazon Prime, play a pivotal role in global content distribution, while social media shapes marketing strategies and the public perception of Bollywood stars. Despite challenges such as piracy and content saturation, the industry displays resilience. Future outlooks anticipate continued technological innovations, emphasizing the need to address digital security concerns and maintain quality control. Collaborations with global talent enrich cross-cultural narratives and bolster Bollywood’s global presence. This exploration positions Bollywood as a leader in the dynamic digital revolution, prioritizing innovation, adaptability, and creative excellence in the evolving cinematic landscape.
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Kaur, Babaljeet, Richa Sharma, Shalli Rani, and Deepali Gupta. "Recommender System: Towards Classification of Human Intentions in E-Shopping Using Machine Learning." Journal of Computational and Theoretical Nanoscience 16, no. 10 (2019): 4280–85. http://dx.doi.org/10.1166/jctn.2019.8513.
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Recommender systems were introduced in mid-1990 for assisting the users to choose a correct product from innumerable choices available. The basic concept of a recommender system is to advise a new item or product to the users instead of the manual search, because when user wants to buy a new item, he is confused about which item will suit him better and meet the intended requirements. From google news to netflix and from Instagram to LinkedIn, recommender systems have spread their roots in almost every application domain possible. Now a days, lots of recommender system are available for every field. In this paper, overview of recommender system, recommender approaches, application areas and the challenges of recommender system, is given. Further, we study conduct an experiment on online shoppers’ intention to predict the behavior of shoppers using Machine learning algorithms. Based on the results, it is observed that Random forest algorithm performs the best with 93% ROC value.
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Spínola, Maria P., Ana R. Mendes, and José A. M. Prates. "Innovations in Limnospira platensis Fermentation: From Process Enhancements to Biotechnological Applications." Fermentation 10, no. 12 (2024): 633. https://doi.org/10.3390/fermentation10120633.
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The cyanobacterium Limnospira platensis, vulgarly Spirulina, has gained significant attention due to its high protein content, rich bioactive compounds, and health benefits, making it a valuable resource in biotechnology, nutraceuticals, food supplements, biopharmaceuticals, and cosmetics. Recent advancements in fermentation technology have considerably improved the efficiency, scalability, and cost-effectiveness of L. platensis production while addressing environmental sustainability and enhancing product quality. Based on well-recognized databases (Google Scholar, PubMed, Scopus, Web of Science), this review explores the latest developments in L. platensis fermentation, emphasizing strain improvement, bioprocess engineering, and optimization of fermentation parameters. It also examines key factors such as bioreactor design, downstream processing, and innovative monitoring technologies aimed at maximizing biomass yield and bioactive compound production. Additionally, emerging applications of fermented L. platensis in various industries and future perspectives, including large-scale production, regulatory barriers, and biosafety considerations, are discussed. These insights provide a comprehensive outlook on the future of L. platensis fermentation in biotechnological applications.
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Isnainiyah, Ika Nurlaili, Ati Zaidiah, and Artika Arista. "Pelatihan Media Pembelajaran dengan Teknologi Google Assistant sebagai Inovasi KBM Sekolah Luar Biasa di Jakarta." Prima Abdika : Jurnal Pengabdian Masyarakat 2, no. 4 (2022): 481–88. http://dx.doi.org/10.37478/abdika.v2i4.2287.
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The development of IT-based learning media in the field of education continues to progress in order to create comprehensive and interesting Teaching and Learning Activities (TLAs). In accordance with the Master Plan for Persons with Disabilities (RIPD) of the Ministry of Social Affairs of the Republic of Indonesia, learning media innovations are also important to be implemented in special schools for students with special needs in Indonesia. Innovation in learning media at SLBN 01 Jakarta still encounters obstacles, especially related to the lack of understanding of user experience in the teaching and learning process between teachers and students with special needs. Therefore, the team from the Faculty of Computer Science, UPN Veteran Jakarta (UPNVJ) conducted community service activities (PkM) to provide Google Assistant-based Learning Media Training to the Teacher Group from SLBN 01 Jakarta. The results of the activity aim to enable the Jakarta SLBN 01 Teacher Group to be able to independently apply the Google Assistant-based Natasha Bot learning media based on directions and assistance from the PkM team. The results of the feedback obtained from the participants indicated that the activity was going very well. The results also show an increase in teachers' knowledge in Special Schools (SLB) in the application of Google Assistant-based trivia quiz learning media innovations for Indonesian language subjects at the 6th grade elementary school level.
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Ossineke Chukwu Desmond. "AI-Powered DevOps: Leveraging machine intelligence for seamless CI/CD and infrastructure optimization." International Journal of Science and Research Archive 6, no. 2 (2022): 094–107. https://doi.org/10.30574/ijsra.2022.6.2.0150.
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AI integration into DevOps practices clearly assumes a giant leap forward in the effective, reliable, and even more elastic delivery of software. This work focuses on the application of artificial intelligence and machine learning in improving CI/CD practices, infrastructure, and software engineering processes. AI plays a major role in reducing the possibility of human errors and greatly improves the speed at which the development of systems is conducted thanks to the automation of activities like testing, resource tracking, and identification of abnormalities. Examples from Netflix, Google and other enterprises show how Predictive Analytics, Intelligent Deployment Strategies and Automation of Code reviews changed the facet of integrated software delivery. However, the complexity of integration, poor data quality, and organizational change resistances form part of the evaluation together with the benefits. From here, the work showcases how AI plays a pivotal role in optimizing DevOps, meeting infrastructure requirements flexibly, and how the integration empowers multiple teams when constructing the future of software engineering.
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Ram Mohan, Raj Mohan, Sai Reshma Magam, Sai Greeshma Magam, et al. "S1098 The Future of IBD Management: Insights From AI Innovations With ChatGPT and Google Bard." American Journal of Gastroenterology 119, no. 10S (2024): S778. http://dx.doi.org/10.14309/01.ajg.0001033760.20167.9f.
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Komala Sari, Lulu, Ratna Komalasari, Muhammad Faisal Hakim, Ridwan Firmansyah, and Siti Asiah. "Integrasi Pengajaran Interaktif Melalui Inovasi Pembelajaran Dalam Meningkatkan Minat Belajar Siswa." Al-Mau'izhoh 6, no. 2 (2025): 1203–15. https://doi.org/10.31949/am.v6i2.12234.
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This study aims to explore the integration of interactive teaching through learning innovations at SMKN 1 Cikarang Barat as an effort to enhance students' learning interest. The background of the research indicates that conventional teaching methods, which are still dominant, such as lectures, are ineffective in increasing student engagement. Therefore, interactive teaching that utilizes technology, such as Google Slides and Google Forms, is expected to create a more engaging and enjoyable learning environment. This study also identifies the challenges faced, including resource limitations, differences in perceptions between teachers and students regarding character education, and the need for support from parents and the community. Using a qualitative approach, this research collects data through interviews and observations to understand the views of teachers and students regarding character education and interactive teaching. The results of this study are expected to provide broader insights into the effective implementation of learning innovations that support the character development of students at SMKN 1 Cikarang Barat.
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Ponomarenko, Ihor, Bohdan Kovalov, and Mykola Melnyk. "Business Innovations and Digital Transformation: Trend, Comparative and Bibliometric Analysis." Business Ethics and Leadership 8, no. 1 (2024): 74–92. http://dx.doi.org/10.61093/bel.8(1).74-92.2024.
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The rapid development of digital technologies, digital transformation, business innovation, and the emergence of such technologies as artificial intelligence, blockchain, the Internet of Things provides significant potential for transforming business processes and creating new innovative models. The trend analysis conducted in this article (using the Google Trends tool) around the world for 2009-2023 showed that public interest in “business innovation” was almost constant until 2021 (according to the GT Scale, it ranged from 0.25 to 0.5). After 2021, it increased (according to the GT Scale, it was more than 0.5). At the same time, public interest in “digital transformation” has significantly increased since 2014, reaching almost maximum values in 2020-2023 (0.75 – 1.00 on the GT Scale). This confirms a growing need in society to acquire new knowledge related to the ability of businesses to adapt to digital transformation, including through creating innovative developments. Unlike trend analysis, bibliometric and comparative analyses identify trends in developing interest in this topic not among ordinary citizens – users of the Google search platform ‒ but among scientists who publish the results of their research either in monographs or in authoritative peer-reviewed scientific journals indexed by leading scientometric databases. The comparative analysis conducted in the article using the Google Books Ngram Viewer (Google) tool, which displays the frequency of references to relevant terms in English-language books for 2009-2019 worldwide, showed similar trends: the persistence of scholars’ attention to business innovation, while their interest in digital transformation is growing: in 2009-2013 – a slight increase, in 2013-2019 ‒ a significant increase. In the bibliometric analysis, a five-level mechanism for limiting the research sample was applied: only English-language and most recent (for 2018-2022) scientific articles indexed by the Scopus database in the subject area of Business, Management and Accounting were subject to analysis. Based on these limitations, the research sample for the keyword “digital transformation” was reduced from 12131 to 1700 papers, and for “business innovation” from 865 to 70. The analysis of the published articles, their views and citations, carried out using the SciVal tool, fully confirmed the conclusions drawn from the trend and comparative analysis results. In terms of digital transformation, the leaders in terms of the number of papers and the number of views are Germany, Italy, the UK and the US; in terms of citations – the UK, Germany, the US, and in terms of individual scientists – Brazil and Germany. As for the topic of business innovation, the United States is the undisputed leader in all these parameters, followed by China and the United Kingdom. Some scientists from Germany and Spain also attract the attention of the academic community (in terms of views and citations). Changes in trends and research priorities in each of the studied topics were identified and described using SciVal (analysis of the reference dynamics to the top 50 keywords in articles for 2018-2023). For example, in 2023, compared to 2022, scientific interest in issues related to “value creation” (+61.5%), “incumbents” (+66.7%), “service economy” (+83.3%), “digital marketing” (+75.0%), and “design thinking” (+150.0%) increased the most. VOSviewer software made it possible to cluster the scientific work by thematic areas. The largest cluster on digital transformation relates this concept to small and medium-sized businesses and technologies, and the largest cluster on business innovation relates it to the development of small and medium-sized enterprises and the protection of property rights.
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Denning, Steve. "Succeeding in an increasingly Agile world." Strategy & Leadership 46, no. 3 (2018): 3–9. http://dx.doi.org/10.1108/sl-03-2018-0021.
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Purpose As Agile management thinking spreads to every part and every kind of organization, including their competitors, corporate leaders need to take steps to ensure they get and keep a good seat at the Agile table. Design/methodology/approach The author’s first hand research finds that firms are learning the hard way that software process and value innovation requires a different way of running the organization to be successful. The whole firm has to become nimble, adaptable and able to adjust on the fly to meet the shifting whims of a marketplace driven by dynamic changes in customer value. Findings The Agile way of working is provoking a revolution in business that affects almost everyone. Agile organizations are connecting everyone and everything, everywhere, all the time. They are capable of delivering instant, intimate, frictionless value on a large scale. Practical implications Examples of the new way of running organizations are everywhere apparent. It’s not just the five biggest firms by market capitalization: Amazon, Apple, Facebook, Google and Microsoft. It’s also firms like Airbnb, Etsy, Lyft, Menlo Innovations, Netflix, Saab, Samsung, Spotify, Tesla, Uber and Warby Parker. Social implications A new kind of management was needed to enable this new kind of worker -- a fundamentally different way of running organizations. Agile is economically more productive and a better fit with the new marketplace. And it had immense potential benefit for the human spirit. It could create workplaces that enabled human beings to contribute their full talents on something worthwhile and meaningful – creating value for other human beings. Originality/value Continuing the management practices and structures of the lumbering industrial giants of the 20th Century is no longer a viable option for today’s firms. To survive, let alone thrive, leaders today must recognize that Agile is not something happening in software alone.
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Ingole, Gorakshan B., and Snehal V. Raut. "Google Glass: A New Era for Wearable Technology." International Journal of Ingenious Research, Invention and Development (IJIRID) 3, no. 6 (2024): 573–77. https://doi.org/10.5281/zenodo.14552885.
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<em>This research study provides a comprehensive analysis of Google Glass, a groundbreaking wearable technology introduced by Google Inc. in 2012. Designed as a head-mounted display integrating augmented reality (AR), Google Glass aims to seamlessly blend digital information with the user’s physical environment. The report traces the development of Google Glass from its inception, exploring its technical specifications, features, and functionalities. It delves into various applications across sectors such as healthcare, manufacturing, and education, highlighting its impact and use cases. The report also examines the market reception, including adoption challenges and limitations, such as privacy concerns and technical constraints. Additionally, it provides case studies that illustrate the practical implementation and effectiveness of Google Glass in different contexts. Finally, the report discusses future prospects, including technological advancements and potential innovations in AR and wearable technology. Overall, Google Glass represents a significant step forward in wearable computing, despite facing both market and technical hurdles. The report concludes by reflecting on its current status and future potential in transforming user interaction with digital content.</em>
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Lotz, Amanda D. "Unpopularity and cultural power in the age of Netflix: New questions for cultural studies’ approaches to television texts." European Journal of Cultural Studies 24, no. 4 (2021): 887–900. http://dx.doi.org/10.1177/1367549421994578.
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Although Internet-distributed television bears much in common with the television long studied and theorized using cultural studies-based approaches to analysis, several of its features profoundly deviate from earlier television norms and require reassessment and adaptation of theoretical frames. This article focuses on the issue of textual popularity in relation to these services and identifies key challenges to using the same frames of cultural power that have been used for studying television in the past. The underlying problem of audience fragmentation does not originate with streaming services, but this profound contextual change, in concert with industrial aspects that further distinguish internet-distributed television from television’s past norms, must be addressed. The article concludes by identifying several ways the cultural power of streaming services can be investigated despite the challenges that emerging norms of Internet-distributed video provide. This article is based on a paper presented at the Media in Transition symposium (Utrecht, June 28, 2018), in the Industries and Infrastructures panel organised by Judith Keilbach. Also published in this issue of ECS are Vicki Mayer, ‘From peat to Google power: communications infrastructures and structures of feeling in Groningen’ and Jennifer Holt & Michael Palm, ‘More than a number: the telephone and the history of digital identification’.
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Stukalo, Oleksandra. "Technological education in Ukraine: from labour training to digital innovations." Problems of Education, no. 1(102) (June 16, 2025): 402–14. https://doi.org/10.52256/2710-3986.1-102.2025.28.
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This article explores the historical evolution, current transformation, and strategic importance of the school subject "Technologies" in Ukraine, particularly under the conditions of full-scale war. The study traces the transition from the Soviet-era utilitarian "labour training" course to a multidimensional, interdisciplinary field integrated within the New Ukrainian School (NUS) reform. The shift in educational paradigm is examined — from manual tasks to a focus on critical thinking, creativity, digital literacy, and entrepreneurial competencies. A special emphasis is placed on project-based learning, the application of digital tools (3D modeling, Arduino, Canva, Scratch, Google Workspace), and the implementation of STEAM approaches. The article highlights how technology lessons facilitate interdisciplinary collaboration with computer science, mathematics, biology, and arts education. The impact of the Russian invasion is analyzed in detail, illustrating how the subject has become not only an educational tool but also a psychosocial support mechanism, offering students a sense of stability, agency, and purpose through practical activities like candle making, sewing kits, and digital presentations. Key systemic challenges are discussed: unequal access to modern equipment, insufficient teacher training in digital and project-oriented methodologies, the lack of clear models for interdisciplinary integration, and outdated teacher certification procedures that fail to reflect 21st-century educational realities. Despite the difficulties, the Ukrainian education system continues to adapt and evolve. The article argues that the "Technologies" subject serves as a platform for resilience, innovation, and hands-on learning – forming an essential component of a future-oriented, inclusive, and socially relevant education system in times of both crisis and recovery.
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Maysa, Fuad, Nor Latifah, Betty Masruroh, et al. "LIBRARY INNOVATIONS IN THE DIGITALIZATION ERA: A SYSTEMATIC REVIEW." BIBLIOTIKA : Jurnal Kajian Perpustakaan dan Informasi 8, no. 2 (2024): 350. https://doi.org/10.17977/um008v8i22024p350-364.
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This research presents a systematic review of trends and innovations in the library sector during the era of digitalization. As technology has advanced, libraries have transformed from traditional print-based service providers to dynamic digital platforms. This article explores several key aspects, including the nature of innovation in libraries, the challenges faced in implementing these innovations, their impacts, and recommendations for future practices. The study is based on a comprehensive analysis of literature sourced from Google Scholar, encompassing a review of 1,000 articles. The findings underscore the necessity of ongoing government support and the active involvement of community members in fostering successful innovation in libraries. Furthermore, this study offers valuable insights and recommendations for future research, emphasizing the critical role libraries play in promoting access to information and enhancing community engagement in a rapidly evolving digital landscape.
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Lailita, Nabila Aulia, and Nabilla Velia Khoirunnisa. "Sosial Media pada Pendidikan Indonesia: Pengaruh Inovasi Media Sosial Terhadap Kualitas Pelajar di Indonesia." Indo-MathEdu Intellectuals Journal 5, no. 3 (2024): 3136–43. http://dx.doi.org/10.54373/imeij.v5i3.1139.
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Technological advancements that continue to evolve have resulted in various innovations aimed at facilitating human work, creating sophisticated devices, and providing ease in communication. This article reviews how social media innovations can influence the quality of students in Indonesia. The aim is to understand the positive and negative impacts of social media. This research employs a qualitative method that involves descriptive data collection using references from the literature, reading, note-taking, and analyzing information sourced from the Google Scholar platform. The results of the research indicate that rapid technological development has comprehensively changed human life, with social media being one of its main aspects. Although it provides ease of interaction and broadens knowledge, social media also presents challenges, particularly related to the behavior and morals of students
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Arshad, Nabeila, and Urooj Pasha. "Factors Effecting the Supply Chain Performance in Automotive Industry." Journal of Law & Social Studies 5, no. 1 (2023): 93–107. https://doi.org/10.52279/jlss.05.01.01.93107.
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The market for supply chain analytics is expected to develop at a CAGR of 17.3 percent from 2019 to 2024, more than doubling in size. This data demonstrates how supply chain organizations understand the advantages of being able to forecast what will happen in the future with a decent degree of accuracy. Google, Netflix, and Amazon are among the main corporations that use predictive analytics. According to Gartner research, organizations that use predictive supply chains have a good return on investment. Furthermore, owing to more precise demand forecasting, they may reduce inventory by 20-30%. Predictive analytics may help remove a lot of the guesswork from planning and decision-making. Supply chain predictive analytics, as opposed to historical analytics, helps supply chain management to foresee and plan. Supply chain leaders may use this data to address supply chain difficulties, cut costs, and enhance service levels all at the same time. Predictive analytics approaches enable businesses to uncover hidden patterns and trends in their data, allowing them to better analyze market trends, identify demand and set suitable pricing strategies.
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Rahman, S. M. Sanzana, and Lubaba Sanjana. "Investigating the Role of Google Classroom as an LMS in Tertiary Level EAP Classes." BELTA Journal 5, no. 1 (2021): 1–12. http://dx.doi.org/10.36832/beltaj.2021.0501.01.
Full textAbstract:
Using an online platform, such as Google Classroom to engage learners, is a recent practice in the field of Computer Assisted Language Learning (CALL). It can be used to engage learners to learn academic English skills at the tertiary level in Bangladesh. This paper examines adoption of Google Classroom through the lens of Rogers’ (2003) diffusion of innovations to investigate learners’ experiences, attitudes, and perceptions towards Google Classroom as a Learning Management System (LMS) to engage students to learn the four skills of English. The researchers have undertaken a mixed methods approach to collect data from 105 tertiary level students who are taking EAP courses in a private university. The findings suggest that the participants have strong positive attitude towards the use of different features of Google Classroom due to the availability of training and technological tools. This study is crucial for understanding the importance of using instructional technology (IT) in reshaping English teaching practices in Bangladesh.
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Borges de Amorim Amorim, Diego Felipe. "G Suite as a solution in collaborative, academic and professional work tools." Project, Design and Management 3, no. 1 (2021): 28–40. http://dx.doi.org/10.35992/pdm.v3i1.515.
Full textAbstract:
The wonders brought by innovations from cloud computing help collaborative productivity and work management processes, revolutionize the way we learn and work, mitigate boundaries, in addition to expanding services and reducing costs for companies and people globally. In this perspective, the objective of the present research is to present the G Suite functionalities as a productivity, storage and cooperation tool. In order to achieve the proposed objective, an investigation was carried out on the Google Docs application, understood as an essential tool in the creation, edition, management and sharing of office-type documents – office applications, which is part of the G Suite solution. This study was carried out exploring the Google Docs tool, as well as books, articles, websites, blogs and technical documents. The following was concluded, among other things: G Suite is a powerful and complex tool for productivity, storage and collaborative work, with Google Docs as its greatest exponent; the G Suite is the evolution of Google Apps, the latter representing free tools, including Google Docs; and, access to office type tools requires the user to have an active Gmail account.
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Gahramanova, Shahla. "DISTANCE LEARNING: ADVANTAGES AND CHALLENGES." Distance Education in Ukraine: Innovative, Normative-Legal, Pedagogical Aspects, no. 1 (September 2, 2021): 25–27. http://dx.doi.org/10.18372/2786-5495.1.15733.
Full textAbstract:
The outbreak of the Covid-19 pandemic marked the start of very serious innovations in many areas, including education. Digital learning platforms such as Zoom, Teams, Google Classroom and others have emerged as a way out from the blockade forced by pandemic. New learning opportunities has completely changed the nature of learning in all educational levels all over the world with its advantages and disadvantages.