Article
Information Science & Library Science
Yogesh K. Dwivedi, Laurie Hughes, Abdullah M. Baabdullah, Samuel Ribeiro-Navarrete, Mihalis Giannakis, Mutaz M. Al-Debei, Denis Dennehy, Bhimaraya Metri, Dimitrios Buhalis, Christy M. K. Cheung, Kieran Conboy, Ronan Doyle, Rameshwar Dubey, Vincent Dutot, Reto Felix, D. P. Goyal, Anders Gustafsson, Chris Hinsch, Ikram Jebabli, Marijn Janssen, Young-Gab Kim, Jooyoung Kim, Stefan Koos, David Kreps, Nir Kshetri, Vikram Kumar, Keng-Boon Ooi, Savvas Papagiannidis, Ilias O. Pappas, Ariana Polyviou, Sang-Min Park, Neeraj Pandey, Maciel M. Queiroz, Ramakrishnan Raman, Philipp A. Rauschnabel, Anuragini Shirish, Marianna Sigala, Konstantina Spanaki, Garry Wei-Han Tan, Manoj Kumar Tiwari, Giampaolo Viglia, Samuel Fosso Wamba
Summary: The metaverse has the potential to revolutionize the way we work, leisure, and interact socially by extending the physical world using augmented and virtual reality technologies. Although there are currently limitations in technology and infrastructure, researchers are increasingly studying the transformative impact of the metaverse on various sectors, including marketing, education, and healthcare, as well as potential societal issues.
INTERNATIONAL JOURNAL OF INFORMATION MANAGEMENT
(2022)
Article
Information Science & Library Science
Jin-Young Kim, WanGyu Heo
Summary: The study found that AI-based interviews are more efficient than traditional interviews, but there is a concern about data bias. Applicants generally believe that AI interviews are superior to traditional evaluation processes, but some express dissatisfaction with being evaluated by AI. Digital divide and automated inequality are recurring themes in this study.
INFORMATION TECHNOLOGY & PEOPLE
(2022)
Article
Computer Science, Information Systems
Peng An, Zhiyuan Wang, Chunjiong Zhang
Summary: Previous studies on cyberattack detection have overlooked data skewness. This paper proposes an approach that combines ensemble autoencoders with Gaussian mixture models to adapt to multiple domains and effectively detect network attack anomalies.
INFORMATION PROCESSING & MANAGEMENT
(2022)
Article
Information Science & Library Science
Yogesh K. Dwivedi, Laurie Hughes, Arpan Kumar Kar, Abdullah M. Baabdullah, Purva Grover, Roba Abbas, Daniela Andreini, Iyad Abumoghli, Yves Barlette, Deborah Bunker, Leona Chandra Kruse, Ioanna Constantiou, Robert M. Davison, Rahul De, Rameshwar Dubey, Henry Fenby-Taylor, Babita Gupta, Wu He, Mitsuru Kodama, Matti Mantymaki, Bhimaraya Metri, Katina Michael, Johan Olaisen, Niki Panteli, Samuli Pekkola, Rohit Nishant, Ramakrishnan Raman, Nripendra P. Rana, Frantz Rowe, Suprateek Sarker, Brenda Scholtz, Maung Sein, Jeel Dharmeshkumar Shah, Thompson S. H. Teo, Manoj Kumar Tiwari, Morten Thanning Vendelo, Michael Wade
Summary: The UN COP26 2021 conference on climate change provides an opportunity for world leaders to take action and make urgent commitments to reduce emissions and limit global temperatures. Digital and IS technology play a role in monitoring potential solutions and are integral to addressing climate change. Technology is recognized as both a crucial part of the solution and a part of the problem.
INTERNATIONAL JOURNAL OF INFORMATION MANAGEMENT
(2022)
Article
Computer Science, Information Systems
Piera Centobelli, Roberto Cerchione, Pasquale Del Vecchio, Eugenio Oropallo, Giustina Secundo
Summary: Trust, traceability, and transparency are critical factors in designing circular blockchain platforms in supply chains. This paper proposes the integrated Triple Retry framework for designing circular blockchain platforms to bridge the three circular supply chain reverse processes and the three factors affecting blockchain technologies. The results highlight the role of blockchain as a technological capability for improving control in waste transportation and product return management activities.
INFORMATION & MANAGEMENT
(2022)
Article
Information Science & Library Science
Yogesh K. Dwivedi, Nir Kshetri, Laurie Hughes, Emma Louise Slade, Anand Jeyaraj, Arpan Kumar Kar, Abdullah M. Baabdullah, Alex Koohang, Vishnupriya Raghavan, Manju Ahuja, Hanaa Albanna, Mousa Ahmad Albashrawi, Adil S. Al-Busaidi, Janarthanan Balakrishnan, Yves Barlette, Sriparna Basu, Indranil Bose, Laurence Brooks, Dimitrios Buhalis, Lemuria Carter, Soumyadeb Chowdhury, Tom Crick, Scott W. Cunningham, Gareth H. Davies, Robert M. Davison, Rahul De, Denis Dennehy, Yanqing Duan, Rameshwar Dubey, Rohita Dwivedi, John S. Edwards, Carlos Flavian, Robin Gauld, Varun Grover, Mei-Chih Hu, Marijn Janssen, Paul Jones, Iris Junglas, Sangeeta Khorana, Sascha Kraus, Kai R. Larsen, Paul Latreille, Sven Laumer, F. Tegwen Malik, Abbas Mardani, Marcello Mariani, Sunil Mithas, Emmanuel Mogaji, Jeretta Horn Nord, Siobhan O'Connor, Fevzi Okumus, Margherita Pagani, Neeraj Pandey, Savvas Papagiannidis, Ilias O. Pappas, Nishith Pathak, Jan Pries-Heje, Ramakrishnan Raman, Nripendra P. Rana, Sven-Volker Rehm, Samuel Ribeiro-Navarrete, Alexander Richter, Frantz Rowe, Suprateek Sarker, Bernd Carsten Stahl, Manoj Kumar Tiwari, Wil van der Aalst, Viswanath Venkatesh, Giampaolo Viglia, Michael Wade, Paul Walton, Jochen Wirtz, Ryan Wright
Summary: This article brings together contributions from 43 experts to discuss the advantages and limitations of ChatGPT, as well as its potential impacts in various industries. The article identifies areas for further research, including knowledge, transparency, and ethics; digital transformation of organizations and societies; and teaching, learning, and scholarly research.
INTERNATIONAL JOURNAL OF INFORMATION MANAGEMENT
(2023)
Article
Information Science & Library Science
Sascha Kraus, Susanne Durst, Joao J. Ferreira, Pedro Veiga, Norbert Kailer, Alexandra Weinmann
Summary: Research on digital transformation has attracted significant attention in recent decades. This paper aims to map the thematic evolution of DT research in the areas of business and management, and proposes a synergistic framework to connect existing research in these areas.
INTERNATIONAL JOURNAL OF INFORMATION MANAGEMENT
(2022)
Article
Computer Science, Information Systems
Nripendra P. Rana, Sheshadri Chatterjee, Yogesh K. Dwivedi, Shahriar Akter
Summary: The study examines the impact of AI-integrated business analytics on a firm's competitive advantage, finding that opacity, suboptimal business decisions, and perceived risk may result in operational inefficiency and competitive disadvantage.
EUROPEAN JOURNAL OF INFORMATION SYSTEMS
(2022)
Article
Computer Science, Interdisciplinary Applications
Kohei Watanabe, Yuan Zhou
Summary: There is a growing interest in quantitative analysis of large corpora among international relations scholars. To address the challenge of using unsupervised machine learning models consistently with existing theoretical frameworks, researchers have proposed a set of techniques that utilize a semisupervised model for efficient document classification. This approach involves creating a dictionary and using an entropy-based diagnostic tool to improve classification accuracy. Experimental results demonstrate the superiority of semisupervised models over unsupervised models, particularly when considering contextual information.
SOCIAL SCIENCE COMPUTER REVIEW
(2022)
Review
Information Science & Library Science
Andreia de Bem Machado, Silvana Secinaro, Davide Calandra, Federico Lanzalonga
Summary: This paper provides a structured literature review on the interactions between knowledge management, digital transformation, and Industry 4.0. The authors analyzed 761 peer-reviewed English articles using the Scopus database and Bibliometrix R package. The study identifies several research clusters and uncovers an exciting link between knowledge management, digital transformation, and the public sector. The article emphasizes the crucial role of digital transformation in knowledge management development and suggests future research perspectives.
KNOWLEDGE MANAGEMENT RESEARCH & PRACTICE
(2022)
Article
Information Science & Library Science
Kerry Dhakal
JOURNAL OF THE MEDICAL LIBRARY ASSOCIATION
(2022)
Article
Information Science & Library Science
Anubhav Mishra, Anuja Shukla, Sujeet Kumar Sharma
Summary: This study examines the role of hedonic and utilitarian attitudes on Smart Voice Assistant (SVA) usage and word-of-mouth (WOM) recommendations. The findings suggest that playfulness and escapism positively influence hedonic attitude, while anthropomorphism, visual appeal, and social presence determine utilitarian attitude. Utilitarian attitude has a stronger impact on SVA usage and WOM recommendations compared to hedonic attitude.
INTERNATIONAL JOURNAL OF INFORMATION MANAGEMENT
(2022)
Article
Information Science & Library Science
Alexander Serenko
Summary: This article analyzes the phenomenon of the Great Resignation from a knowledge management perspective and discusses its impacts on individuals, organizations, and countries. It offers managerial recommendations and suggests further investigation into the Great Resignation.
JOURNAL OF KNOWLEDGE MANAGEMENT
(2023)
Article
Computer Science, Information Systems
Xusen Cheng, Linlin Su, Xin (Robert) Luo, Jose Benitez, Shun Cai
Summary: This study reveals that the use of big data analytics and artificial intelligence on ridesharing platforms has both benefits and drawbacks, with privacy control playing a positive role in encouraging individuals to use the platform.
EUROPEAN JOURNAL OF INFORMATION SYSTEMS
(2022)
Review
Computer Science, Information Systems
Nima Kordzadeh, Maryam Ghasemaghaei
Summary: This paper reviews and synthesizes current literature on algorithmic bias, pointing out a lack of empirical research and a neglect of the mechanisms through which biased algorithms influence decisions and behaviors. It identifies eight important theoretical concepts and proposes a research model depicting the relationships between these concepts, highlighting the impact of algorithmic bias on fairness perceptions and technology-related behaviors. The model also suggests that contextual dimensions play a crucial role in shaping perceptions and behaviors related to algorithmic bias.
EUROPEAN JOURNAL OF INFORMATION SYSTEMS
(2022)
Article
Computer Science, Interdisciplinary Applications
Jen-Yin Yeh, Chi-Hua Chen
Summary: This study predicts the success of crowdfunding projects by analyzing social media activity, human capital of funders, and online project presentation. It proposes a neural network method based on ensemble machine learning to prevent overfitting. The study shows that the ensemble neural network method achieves the highest accuracy for prediction. It also provides practical implications for project founders and investors by identifying influential features and offering a model to predict crowdfunding success.
JOURNAL OF ENTERPRISE INFORMATION MANAGEMENT
(2022)
Review
Computer Science, Information Systems
Syreen Banabilah, Moayad Aloqaily, Eitaa Alsayed, Nida Malik, Yaser Jararweh
Summary: This study provides a comprehensive review of the current status and future trends of federated learning in both technical and market domains, serving as a reference point for researchers and practitioners to explore the applications of federated learning in various fields.
INFORMATION PROCESSING & MANAGEMENT
(2022)
Article
Computer Science, Interdisciplinary Applications
Deen Freelon, Michael Bossetta, Chris Wells, Josephine Lukito, Yiping Xia, Kirsten Adams
Summary: The recent increase in disinformation and propaganda on social media has attracted significant attention from social scientists. Research on this topic has found ideological and racial asymmetries in the content and reception of disinformation, and a computational analysis of tweets from the Russian Internet Research Agency reveals that presenting as a Black activist is the most effective predictor of engagement with disinformation.
SOCIAL SCIENCE COMPUTER REVIEW
(2022)
Review
Information Science & Library Science
Mona Ashok, Rohit Madan, Anton Joha, Uthayasankar Sivarajah
Summary: This study conducts a systematic literature review to critically discuss the ethical implications of using AI in Digital Technologies beyond high-level principles. It identifies 14 digital ethics implications and presents a conceptual model highlighting the impact of digital ethics on societal impact.
INTERNATIONAL JOURNAL OF INFORMATION MANAGEMENT
(2022)
Article
Communication
Fengxiu Zhou, Huwei Wen, Chien-Chiang Lee
Summary: With the development of broadband infrastructure, the export trade in Chinese cities has been significantly promoted as a result of improved information efficiency and reduced logistics costs. The direct effect plays a major role in influencing export trade, while the indirect effects through industrial structure and technological innovation are relatively minor.
TELECOMMUNICATIONS POLICY
(2022)
