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Ashish Kumar Jha
Researcher at Trinity College, Dublin
Publications - 31
Citations - 357
Ashish Kumar Jha is an academic researcher from Trinity College, Dublin. The author has contributed to research in topics: Health care & Health information technology. The author has an hindex of 8, co-authored 31 publications receiving 215 citations. Previous affiliations of Ashish Kumar Jha include Lovely Professional University & Harvard University.
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Excessive use of online video streaming services: Impact of recommender system use, psychological factors, and motives
TL;DR: The results show that the use of recommendations, along with lack ofSelf-control, lack of self-esteem and use motive of information seeking, lead to excessive usage of video streaming services.
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A note on big data analytics capability development in supply chain
TL;DR: It is found that, in addition to technical capacity, competitive landscape and intra-firm power dynamics play an important role in building BDA capability and using BDA technologies.
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Innovation research in information systems: A commentary on contemporary trends and issues
Ashish Kumar Jha,Indranil Bose +1 more
TL;DR: It is identified that innovation diffusion theory is the most popular theory used by researchers and future research must focus on the conceptualization and the generation phase of innovation through exploratory or empirical studies.
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Platform based innovation : the case of Bosch India
TL;DR: In this article, the authors developed a framework Strategic Platform Innovation Star (SPINS) to analyze and plan the implementation of platform development under environmental regulatory constraints among other factors, and validated the framework through a case study on Bosch India that developed a successful product platform to meet customer demands under regulatory considerations.
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Social Influence on Future Review Sentiments: An Appraisal-Theoretic View
Ashish Kumar Jha,Snehal Shah +1 more
TL;DR: It is found the influence of the selection of reviews on most e-commerce websites could strongly bias subsequent written review sentiments, and this effect is more pronounced when the reviewer experienced higher disconfirmation.