Today we examine Dr. Goundar’s book, “ENTERPRISE SYSTEMS AND TECHNOLOGICAL CONVERGENCE: Research and Practice”. We will also examine Chapter 5 of the same book in which Dr. Goundar is a co-author, “HOW ARTIFICIAL INTELLIGENCE IS TRANSFORMING THE ERP SYSTEMS.”
This work is the topic of our conversation today with Dr. Goundar. In our bonus questions, we also discuss the definition of ERP, technological convergence, and the main purpose of writing, contributing to and editing the book. We also discuss the common problems present in ERP systems (without AI), AI’s role in ERP and how can it benefit organizations, the current state of AI, and disadvantages and cons to AI in general and in the context of ERP.
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Dr. Sam Goundar is the Editor-in-Chief of the International Journal of Blockchains and Cryptocurrencies (IJBC) published by Inderscience Publishers, Editor-in-Chief of the International Journal of Fog Computing (IJFC) publishes by IGI Global, Section Editor of the Journal of Education and Information Technologies (EAIT) published by Springer and Editor-in-Chief (Emeritus) of the International Journal of Cloud Applications and Computing (IJCAC) published by IGI Global. Sam is also on the Editorial Review Board of more than 20 high-impact factor journals.
Sam has 106 publications in total and these publications appear in journals and as chapters in books (many of them indexed by Scopus and Web of Science)
Sam also works on book publications projects. Sam has worked on (writing/editing) twelve book projects. Eight have been published and the other four are expected to be published by the end of 2021:
Sam’s book “Enterprise Systems and Technological Convergence: Research and Practice” was published in February this year.
As a researcher, apart from Blockchains, Cryptocurrencies, Fog Computing, Mobile Cloud Computing, Cloud Computing, Educational Technologies, Sam also researches Management Information Systems, Technology Acceptance Model (TAM), Massive Open Online Courses (MOOC), Gamification in Learning, Cyber Security, Artificial Intelligence, ICT in Climate Change, ICT Devices in the Classroom, Using Mobile Devices in Education, e-Government, and Disaster Management. I have published on all these topics.
Sam has been teaching Information Systems (IS), Information Technology (IT), Management Information Systems (MIS) and Computer Science (CS) over the last 33 years at Undergraduate, Postgraduate, Masters and Ph.D. levels. Currently, he is a Senior Lecturer in ICT at the British University Vietnam. He was a Senior Lecturer in Information Systems at The University of the South Pacific in Suva, Fiji, and a Lecturer in Information Systems at Victoria University of Wellington (New Zealand and Malaysian. He remains an Affiliate Professor of Information Technology at Pontificia Universidad Catolica Del Peru (Peru), and Adjunct Professor of Computer Science at The University of Fiji, Lautoka, Fiji. Sam was also a Visiting Professor and Researcher at Hassan 1st University, Morocco (June-July 2019) and Bahir Dar University, Ethiopia (June-July 2018).
Episode Resources & Links
02:46 Sam, tell us about yourself. Tell us about the culmination of your research and career.
05:05 In the book “ENTERPRISE SYSTEMS AND TECHNOLOGICAL CONVERGENCE: Research and Practice” you discuss, well, ERP and technological converge. So first, how would you define ERP?
10:39 Second, what does technological convergence mean?
15:48 As a follow-up, what does technological convergence mean in the context of ERP systems?
20:41 What was the main purpose of writing, contributing to, and editing the book, again titled “ENTERPRISE SYSTEMS AND TECHNOLOGICAL CONVERGENCE: Research and Practice”
24:55 Your chapter “ENTERPRISE SYSTEMS AND TECHNOLOGICAL CONVERGENCE: Research and Practice” does a great job of taking a sound academic research-based way of studying AI in the context of ERP. You perform a literature review, established research questions, prepared a sound methodology, and present results and findings. Two-part question;
25:24 What can you share with our listeners as your final concluding thoughts on this work?
27:37 Were there any surprises or any intriguing information you discovered that you personally didn’t expect?
29:23 If you had to distill your work into 3 or 4 sentences, what would you say to ERP organizational change practitioners?
For a Transcript of this conversation including several more bonus questions and answers, you can access the PDF Here.
Transcript & Bonus Questions Episode 38
Goundar, S. (2021). ENTERPRISE SYSTEMS AND TECHNOLOGICAL CONVERGENCE: Research and Practice Enterprise Systems and Technological Convergence: Research and Practice, 1.
Goundar, S., Nayyar, A., Maharaj, M., Ratnam, K., & Prasad, S. (2021). HOW ARTIFICIAL INTELLIGENCE IS TRANSFORMING THE ERP SYSTEMS. Enterprise Systems and Technological Convergence: Research and Practice, 85.
Goundar, S. (2021). INTRODUCTION TO ENTERPRISE SYSTEMS AND TECHNOLOGICAL CONVERGENCE. Enterprise Systems and Technological Convergence: Research and Practice, 1.
Goundar, S., Gounder, R., Kumar, A., Chand, L., Singh, R., Whiteside, O., & Ali, I. (2021). ERP IMPLEMENTATION CHALLENGES AND CRITICAL SUCCESS FACTORS. Enterprise Systems and Technological Convergence: Research and Practice, 45.
https://www.inderscience.com/jhome.php?jcode=ijbc
https://www.facebook.com/IndersciencePublishers/
https://www.facebook.com/IGIglobal/?ref=sgm
https://www.linkedin.com/company/igiglobal
https://www.springer.com/journal/10639
https://www.igi-global.com/journal/international-journal-cloud-applications-computing/41974
Mendling, J., Weber, I., Aalst, W. V. D., Brocke, J. V., Cabanillas, C., Daniel, F., … & Zhu, L. (2018). Blockchains for business process management-challenges and opportunities. ACM Transactions on Management Information Systems (TMIS), 9(1), 1-16.
Vom Brocke, J., Maaß, W., Buxmann, P., Maedche, A., Leimeister, J. M., & Pecht, G. (2018). Future work and enterprise systems. Business & Information Systems Engineering, 60(4), 357-366.
Adams, T. L., Taricani, E., & Pitasi, A. (2018). The technological convergence innovation. International Review of Sociology, 28(3), 403-418.
Goertzel, B. (2021). The General Theory of General Intelligence: A Pragmatic Patternist Perspective. arXiv preprint arXiv:2103.15100.
Pei, J., Deng, L., Song, S., Zhao, M., Zhang, Y., Wu, S., … & Shi, L. (2019). Towards artificial general intelligence with hybrid Tianjic chip architecture. Nature, 572(7767), 106-111.
Batin, M., Turchin, A., Sergey, M., Zhila, A., & Denkenberger, D. (2017). Artificial intelligence in life extension: From deep learning to superintelligence. Informatica, 41(4).
Bradley, P. (2020). Risk management standards and the active management of malicious intent in artificial superintelligence. AI & SOCIETY, 35(2), 319-328.
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