Grover, P., Kar, A.K., Gupta, S. and Modgil, S. (2021), “Influence of political leaders on sustainable development goals – insights from twitter”, Journal of Enterprise Information Management, Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1108/JEIM-07-2020-0304
Category: Research
Exploring engagement among mobile app developers – Insights from mining big data
Purpose
The Web 3.0 has been hugely enabled by smartphones and new generation mobile applications. With the growing adoption of smartphones, the use of mobile applications has grown exponentially and so has the development of mobile applications. This study is an attempt to understand the issues and challenges faced in the mobile applications domain using discussions made on Twitter based on mining of user generated content.
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IFIP WG8.6 Best Paper Award
Best Paper Award, 2020, article titled “#Government – Understanding Dissemination, Transparency, Participation, Collaboration and Engagement on Twitter for Citizens“, in International Federation of Information Processing WG 8.6 Conference – Re-Imagining Diffusion and Adoption of IT, in Indian Institute of Management Trichy, India. Continue reading “IFIP WG8.6 Best Paper Award”
Indian Researchers who are in Top 2% in their fields – Stanford Study
In recent times, a Stanford University study had published the names of researchers who are in the top 2% in their field. In this study, researchers across discipline have been classified into 22 scientific fields and 176 sub-fields. We have further segregated the authors based on their affiliation to Indian Universities. The complete study is downloadable from Plos Biology Continue reading “Indian Researchers who are in Top 2% in their fields – Stanford Study”
Theory Building in Information Systems with Big Data-Driven Research
International Journal of Information Management
Theme: Theory Building in Information Systems with Big Data-Driven Research
Short Title SI: Big data theory building
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Dark Side of Sharing Economy – Managing and sustaining B2B relationships on platforms
Industrial Marketing Management
Call for Papers
Dark Side of Sharing Economy – Managing and sustaining B2B relationships on platforms
Deadline for submission: October 1, 2021
Theory building with big data-driven research
Title: Theory Building with Big Data-Driven Research – Moving away from the “What” towards the “Why”
Authors: Arpan Kumar Kar and Yogesh K Dwivedi
- Free access link: https://authors.elsevier.com/a/1bS0Rz1m7PDZP
- Permanent link: https://doi.org/10.1016/j.ijinfomgt.2020.102205
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Introducing the Digital Service Usage Satisfaction Model
Title: What Affects Usage Satisfaction in Mobile Payments? Modelling User Generated Content to Develop the “Digital Service Usage Satisfaction Model”
Author: Arpan Kumar Kar
Link to full article for free download: https://rdcu.be/b5ImK
Permalink in Springer website: https://link.springer.com/article/10.1007/s10796-020-10045-0
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How is AI used in Operations Management
Abstract: In this digital era, data is the new oil and artificial intelligence (AI) is the new electricity, which is needed in different elements of operations management (OM) such as manufacturing, product development, services and supply chain. This study explores the feasibility of AI utilization within an organization on six factors such as job-fit, complexity, long-term consequences, affect towards use, social factors and facilitating conditions for different elements of OM by mining the collective intelligence of experts on Twitter and through academic literature. The study provides guidelines for managers for AI applications in different components of OM and concludes by presenting the limitations of the study along with future research directions. Continue reading “How is AI used in Operations Management”
Double Century of Citations – Review on AI/ML Algorithms
The first double century is always special. This is a review article I developed in 2014 after I joined IITD and it got finally published in Expert Systems with Applications (Impact Factor >4, ABS Rank 3) journal in 2016. This article I developed while developing content for my analytics course so that I could explain extremely complex somewhat popular/emerging AI/ML algorithms in the simplest of ways, and non-mathematically to my students. Thankful for all the support.
Link to article: https://www.sciencedirect.com/science/article/abs/pii/S095741741630183X
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