[AISWorld] Special Issue on "AI and Bright Internet" in Information Systems Frontiers (deadline extended)

[Prof. Alvin Chung Man LEUNG]

[https://lh7-us.googleusercontent.com/yEKhtqKnM6JzLJhXoGoXq2elRN9id2xIdwx-IexnzvvbiYnVPzIFoMQjF8ZY7ZERC_yZBBbSpq6h-aT5_jt0WhQTHdj37p9OslFZcYCsq2-c_7UhbYYYch4TGFr1XP-W_myF0ZqvnRwoUIvojLuqv44]

Artificial Intelligence (AI) and Bright Internet: Transforming the Internet for a Better Future



Artificial Intelligence (AI) is increasingly becoming a debated discussion for both the benefits it may bring and the adverse impacts it may have on individuals, society, and polity. There have been many studies which have highlighted how AI creates both positive effects as well as adverse effects in organization. For example, AI creates efficiencies through automation and enhances productivity of users across processes like operations, financial management, marketing and human resource management. Further AI brings reliability in project outcome and helps processes and  innovations be standardized across the entire organization. However, on the other side, AI has adverse impacts like technostress among users and employees due to factors like job role changes and job uncertainty. Given how AI has pervasively been integrated into internet ecosystems today, we call for a need to explore this interface of knowledge areas. Internet ecosystems like social media, digital platforms and sharing economy platforms are driven by AI for creating engaging user experiences through content and user recommendations. Given this background we call upon researchers to explore this area in this special issue.


In recent times, the focus of this discourse has again been ignited with the news surrounding Generative Artificial Intelligence (GAI) products like ChatGPT and Dall-E. GAI platforms have demonstrated how they can create texts and images based on interactive inputs from users, and these generated contents are based on a very large web of information. These GAI models are driven by Large Language Models and typically have been used in applications like chatbots (Kushwaha & Kar, 2022). However, beyond GAI including chatbots, AI is gradually percolating into different spheres of work in business. However there are evidences that factors which impact user experiences and adoption of AI tend to vary among stakeholders as roles for AI users continue to evolve (Kar and Kushwaha, 2021; Merhi, 2022). For example, a new area of work deliverables have evolved in recent job descriptions, namely, prompt engineering, where users need to be proficient in using AI in obtaining suitable programming code or business documentation. This has been highlighted for the Information and Technology and Information Technology enabled Services industries, which are gradually moving from a low code to a no-code environment. For example, Goldman Sachs predicts AI automation will affect the reduction of 300 million jobs (Kelley, 2023). It is foreseen that GAI will expedite these changes.


In recent editorial deliberations (Dwivedi et al., 2023), it has been brought out how GAI can enhance productivity and also affect reduction in employment opportunities. Challenges are envisioned on the role that GAI may play in being a skill augmentor or skill complementor. There are deliberations that GAI may impact the cognitive skill development of users, when it comes to critical thinking abilities. However there are also editorial deliberations that industries, including academia, would need to embrace GAI and create an environment that could foster higher level cognitive skills and innovation (Susarla et al., 2023). There are also concerns surrounding the nature of the content that can be created and the veracity of the content. Many of these concerns surrounding data privacy, fairness, accountability and trust were highlighted in recent editorials surrounding adverse impacts of AI (Mikalef et al., 2022; Sivarajah et al., 2023). It is widely argued that while AI may enable digital transformation, the transformation should enable achieving sustainable societies in the future (Pappas et al., 2023).


Given how easily content can be generated using GAI, this brings in concerns surrounding the use of the content in social media. It is envisaged that both misinformation and disinformation may be increasingly created. This may create challenges among users surrounding the beliefs and trust on platforms and institutions. Polarization of belief systems is likely to happen in virtual communities. Further echo chambers effects may have a larger impact on the way polarization increased within virtual communities due to misuse of GAI content. This could potentially have very adverse impacts on the internet ecosystems and its different stakeholders.


Given this context, in this special issue of Information Systems Frontiers, we are keen to explore topics in line with the following areas in general but not limited to these only, as an extension of the Bright Internet Global Symposium (BIGS) 2023, a pre-ICIS workshop.

  *   Understanding the use and impact of GAI on content creation in the internet ecosystems

  *   Studies on the proxies of trust and quality of content and sources of content. How could platforms like social media and search engines index and rank content created by GAI?

  *   Strategies to manage misinformation and disinformation on the internet in an era of GAI

  *   GAI-generated content and their impact on virtual communities

  *   How can AI-generated content create polarization impacts and also switching of preferences online?

  *   Studies on echo chamber effects in social media due to GAI and user interactions.

  *   How do individuals trust content in online platforms when GAI can create content very fast which may be both accurate or erroneous?

  *   AI and its impact on Bright Internet in general

  *   AI and ethical implications for Bright Internet

  *   AI governance for Bright Internet

  *   Fostering collaboration with AI for Bright Internet

  *   AI its security challenges faced by individuals, organizations, communities and/or countries and strategies to address them

  *   Privacy and data breaches relevant to usage of AI systems for Bright Internet

  *   Novel preventive security mechanisms using AI for deterring cyber threat

  *   Transparency and explainability in AI systems for Bright Internet

  *   Bias and fairness considerations in AI systems for Bright Internet

  *   Trust and accountability mechanisms for AI systems for Bright Internet

  *   Human-AI collaboration and interaction for Bright Internet

  *   AI for content curation, recommendation, and discovery in the Bright Internet


We welcome studies which will contribute towards theory development in the above areas. Studies which validate theoretical models empirically using mixed research methods are preferred.


Forms of submission

This special issue will consist of 1) the best papers from an open call selected on a competitive basis from the BIGS 2023; and 2) invited papers that are requested from the editorial members. All submitted papers and invited papers will go through peer review; if an invited paper does not receive a satisfactory review, the paper will not be considered for the special issue.

Submission Instruction

Manuscripts must be submitted in word or latex format to the ISF-Springer online submission system at <http://www.editorialmanager.com/isfi/> http://www.editorialmanager.com/isfi/. Paper submissions must conform to the format and submission guidelines of Information Systems Frontiers, which is available at <http://www.springer.com/business/business+information+systems/journal/10796> http://www.springer.com/business/business+information+systems/journal/10796. Submissions should be approximately up to 32 pages double spaced including references.

About Information Systems Frontiers

Information Systems Frontiers (ISF) is a high-ranking, international scholarly journal designed to bridge the contributing academic disciplines and provide a link between academia and industry. The central objective of ISF is to publish original, well-written, self-contained contributions that elucidate novel research and innovation in IS/IT which advance the field fundamentally and significantly.

In ABDC Ranking, it is listed as an A ranked journal. In ABS ranking, it is listed as a 3 level journal. In Web of Science, it has an impact factor of 5.9 (2022).

ISF is Abstracted/Indexed in ABI inform, CompuMath Citation Index, Computer Literature Index, Current Contents/Engineering, Computing and Technology, Information Science & Technology Abstracts (ISTA), Inspec, ISI Alerting Services, ISI Web of Science, Risk Abstracts, Science Citation Index Expanded, SCOPUS, Zentralblatt Math.

Important Dates

Submission Deadline: 15th March, 2024 (extended).

Notification of first round reviews: 30th May, 2024.

Revised manuscripts due: 30th July, 2024.

Notification of second round reviews: 15th October, 2024.

Final manuscript due: 30th November, 2024

Last date for final acceptance: 31st December, 2024

Guest Advisory Editor

Jae Kyu Lee (jklee at kaist.ac.kr<mailto:jklee at kaist.ac.kr>)

Xi’an Jiaotong University, China and KAIST, Korea



Jae Kyu Lee is a Distinguished Professor of School of Management at Xi’an Jiaotong University and Professor Emeritus of Korea Advanced Institute of Science and Technology (KAIST). He has been professor of KAIST since 1985, and finished his tenure as HHI Chair Professor. He received fellow and LEO Award and served the President (2015-2016) of Association for Information Systems. He is the founder of Principles for the Bright Internet and founded Bright Internet Research Center at KAIST and Xi’an Jiaotong University. He also founded the Bright Internet Global Symposium and Bright Internet Project Consortium in 2019 as posted at www.brightinternet.org. He received his Ph.D. in Information and Operations Management from the Wharton School, University of Pennsylvania in 1985. His research area covers AI, eCommerce, information systems, and Bright Internet.

Guest Editors

Indranil Bose (indranil_bose at yahoo.com<mailto:indranil_bose at yahoo.com>)

Indian Institute of Management Ahmedabad, India and NEOMA Business School, France

Indranil Bose is the Nykaa Chair in Consumer Technology and Professor of Information Systems at the Indian Institute of Management Ahmedabad and Distinguished Professor of Information Systems at NEOMA Business School. He has been a faculty member at the Indian Institute of Management Calcutta (IIMC), University of Hong Kong, University of Florida, and the University of Texas at Arlington. He was the Founder of the Case Research Centre at IIMC and led as its Coordinator from 2012-2020. He was also the Founding Chairperson of the Post Graduate Diploma in Business Analytics (PGDBA), Co-ordinator of the MIS group, and Advisor of Analytics at the State Bank of India. Dr. Bose has extensive teaching, research, consulting, and case writing experience in the fields of business analytics, Big Data, information security, financial technologies, digital transformation, innovation management, and information strategy. His degrees include BTech (Hons.) from the Indian Institute of Technology Kharagpur, MS from the University of Iowa, and MS and PhD from Purdue University. He has published 100+ papers in top-tier peer-reviewed journals such as MIS Quarterly, Journal of the MIS, Decision Support Systems, Information & Management, European Journal of Operational Research, Communications of the AIS, etc. He is the winner of the EFMD 2017 case competition in the category of ‘Inclusive Models’ and author of several teaching cases published by the Asia Case Research Centre (ACRC) and cross-listed with the Harvard Business School Press. Dr. Bose serves on the editorial board of Communications of the AIS, Decision Support Systems, Information & Management, Information Systems Research, Journal of Organizational Computing and Electronic Commerce, Journal of the AIS, and Pacific Asia Journal of the AIS.


Arpan Kumar Kar (arpan_kar at yahoo.co.in<mailto:arpan_kar at yahoo.co.in>)

Indian Institute of Technology Delhi, India


Arpan K Kar is a Professor in Information Systems in Indian Institute of Technology Delhi, India and holds a Endowed Chair Professorship in Data Science. He works in the space of artificial intelligence, digital platforms and apps, social media and ICT-based public policy. He has authored over 150 publications of which over 65 publications are in ABDC A, ABS 3 and WoS Q1 journals of which 13 articles are in ABDC A* journals (H-Index 47). He is the Editor in Chief of International Journal of Information Management Data Insights, published by Elsevier. He is/has been a Guest Editor for journals like Journal of the Association for Information Systems, Decision Support Systems, Industrial Marketing Management, International Journal of Information Management, Information Systems Frontiers, etc. He has received over 20 national and international awards like the Research Excellence Award by Clarivate Analytics for highest citations from 2015-2020, Basant Kumar Birla Distinguished Researcher Award for the count of ABDC A*/ABS 4 level publications in India over 5 years and the Best Seller Award from Ivey / Harvard Cases in 2020 for his case on social media analytics.


Gene Moo Lee (gene.lee at sauder.ubc.ca<mailto:gene.lee at sauder.ubc.ca>)

University of British Columbia, Canada


Gene Moo Lee is an Associate Professor (with tenure) of Information Systems & Analytics at UBC Sauder School of Business. He received a Ph.D. in Computer Science from University of Texas at Austin. His research in AI and business analytics has been published in MIS Quarterly, Information Systems Research, Journal of MIS, Journal of Business Ethics, and Journal of Cybersecurity. His research has been supported by 20 grants (e.g., U.S. National Science Foundation, Canada SSHRC) with a total of $1.3 million. He has served multiple editorial roles in journals, including ISR (Editorial Review Board), Decision Support Systems (AE), Production and Operations Management (Guest SE), MISQ (Guest AE), and JMIS (Guest AE). He received AIS Early Career Award in 2019 and the Reviewer of the Year Awards of 2021 from both MISQ and ISR. He worked for Samsung Electronics, AT&T, Intel, and Goldman Sachs and has collaborated with tech firms (e.g., Yahoo, IGAWorks, KISTI, Canada Energy Regulator, Samsung Research, AlgoCare), and holds 11 patents in mobile technology.


Alvin Leung (acmleung at cityu.edu.hk<mailto:acmleung at cityu.edu.hk>)

City University of Hong Kong, China


Alvin Leung is an Associate Professor at Department of Information Systems, City University of Hong Kong. He received his Ph.D in Information Management from McCombs School of Business, University of Texas at Austin. His research interests primarily focus on information security, IT business value, and financial technology. His research has been published in MIS Quarterly, Information Systems Research, Management Science, Journal of Management Information Systems, and Decision Support Systems. He currently serves as an Associate Editor in Decision Support Systems and Communications of the Association for Information Systems. He received various research awards such as The President’s Award, AIS Early Career Award and University Grants Committee Early Career Award.


Dan J. Kim (dan.kim at unt.edu<mailto:dan.kim at unt.edu>)

University of North Texas, USA

Dan J. Kim is a Fulbright Sr. scholar and professor of Information Technology and Decision Sciences at the University of North Texas. His research interests are in multidisciplinary areas such as trust, cybersecurity, privacy, social media analytics, and others. His research work has been published or, in forthcoming more than 200 papers, in refereed journals, peer-reviewed book chapters, and conference proceedings including FT50 or ABDC A* ranked journals such as ISR, JMIS, JAIS, EJIS, CACM, DSS, I&M, IJIM, etc. He has been ranked among world’s top 2% of scientists<https://news.unt.edu/news-releases/unt-researchers-among-worlds-top-2-scientists-stanford-university-list?unttoday=041521> since 2019, based on the Stanford C-Index. Google citation indices show that his publications have been cited more than 14,700 times. He has been awarded several research grants for multi-years including the National Science Foundation CyberCorps:  SFS grant for multi-years as a Co-PI, the National Security Agency for a part of Cybersecurity National Action Plan, the Department of Homeland Security Summer Research Team Award as a PI, and the Core Fulbright Scholarship grant as a PI. He serves or served as a guest editor, senior, and associate editor for several top journals, including MISQ, DSS, I&M, ISF, ISM, and ECRA.


Special Issue Editorial Board

  *   Oluwafemi (Femi) Akanfe (University of Alabama at Birmingham, USA)

  *   Debalina Bera (Indian Institute of Management Sirmaur, India)

  *   Xi Chen (Zhejiang University, China)

  *   Amanda Chu (The Education University of Hong Kong, China)

  *   Arion Cheong (Stevens Institute of Technology, USA)

  *   Huihui Chi (NEOMA Business School, France)

  *   Wooje Cho (Seoul National University, Korea)

  *   Aaron French (Kennesaw State University, USA)

  *   Shivam Gupta (NEOMA Business School, France)

  *   Mehrdad Koohikamali (California State Polytechnic University, USA)

  *   Prashant Kumar (O. P. Jindal Global University, India)

  *   Juhee Kwon (City University of Hong Kong, China)

  *   Anik Mukherjee (Indian Institute of Management Calcutta, India)

  *   Dongwon Lee (Hong Kong University of Science and Technology, China)

  *   Jae Ung (Jake) Lee (Louisiana Tech University, USA)

  *   Wilson Li (Deakin University, Australia)

  *   Ilias O. Pappas (University of Agder, Norway)

  *   Sagar Samtani (Indiana University, USA)

  *   Sobhan Sarkar (Indian Institute of Management Ranchi, India)

  *   Sujeet K. Sharma (Indian Institute of Management Nagpur, India)

  *   Donghyuk Shin (Arizona State University, USA)

  *   Namchul Shin (Pace University, USA)

  *   Sumanta Singha (Texas Tech University, USA)

  *   Thi Tran (Binghamton University, USA)

  *   Naga Vemprala (University of Portland, USA)

  *   Tianjian Zhang (California State University, Dominguez Hills, USA)

  *   Xiaoge Zhang (Hong Kong Polytechnic University, China)

  *   Vincent Zhuang (Hong Kong Polytechnic University, China)


Select references

  *   Kushwaha, A. K., & Kar, A. K. (2021). MarkBot–a language model-driven chatbot for interactive marketing in post-modern world. Information Systems Frontiers, 1-18. https://doi.org/10.1007/s10796-021-10184-y

  *   Kar, A. K., & Kushwaha, A. K. (2021). Facilitators and barriers of artificial intelligence adoption in business–insights from opinions using big data analytics. Information Systems Frontiers, 1-24. https://doi.org/10.1007/s10796-021-10219-4

  *   Dwivedi, Y. K., Kshetri, N., Hughes, L., Slade, E. L., Jeyaraj, A., Kar, A. K., ... & Wright, R. (2023). “So what if ChatGPT wrote it?” Multidisciplinary perspectives on opportunities, challenges and implications of generative conversational AI for research, practice and policy. International Journal of Information Management, 71, 102642.

  *   Kelley, J. (2023). Goldman Sachs Predicts 300 Million Jobs Will Be Lost Or Degraded By Artificial Intelligence. https://www.forbes.com/sites/jackkelly/2023/03/31/goldman-sachs-predicts-300-million-jobs-will-be-lost-or-degraded-by-artificial-intelligence/?sh=4f11904d782b

  *   Susaria, A., Gopal, R., Thatcher, J.B. & Sarker, S. (2023). The Janus Effect of Generative AI: Charting the Path for Responsible Conduct of Scholarly Activities in Information Systems. Information Systems Research. https://doi.org/10.1287/isre.2023.ed.v34.n2

  *   Sivarajah, U., Wang, Y., Olya, H., & Mathew, S. (2023). Responsible Artificial Intelligence (AI) for Digital Health and Medical Analytics. Information Systems Frontiers, 1-6. https://doi.org/10.1007/s10796-023-10412-7

  *   Mikalef, P., Conboy, K., Lundström, J. E., & Popovič, A. (2022). Thinking responsibly about responsible AI and ‘the dark side’of AI. European Journal of Information Systems, 31(3), 257-268.

  *   Merhi, M. I. (2022). An assessment of the barriers impacting responsible artificial intelligence. Information Systems Frontiers, 1-14. https://doi.org/10.1007/s10796-022-10276-3

  *   Pappas, I. O., Mikalef, P., Dwivedi, Y. K., Jaccheri, L., & Krogstie, J. (2023). Responsible Digital Transformation for a Sustainable Society. Information Systems Frontiers, 1-9. https://doi.org/10.1007/s10796-023-10406-5




Disclaimer: This email (including any attachments) is for the use of the intended recipient only and may contain confidential information and/or copyright material. If you are not the intended recipient, please notify the sender immediately and delete this email and all copies from your system. Any unauthorized use, disclosure, reproduction, copying, distribution, or other form of unauthorized dissemination of the contents is expressly prohibited.