Samadrita Bhattacharyya

Orcid: 0009-0004-0530-4641

According to our database1, Samadrita Bhattacharyya authored at least 13 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Bibliography

2024
Synthesizing the Diverse Facets of Online Review Quality and their Stimuli.
Proceedings of the 28th Pacific Asia Conference on Information Systems, 2024

2023
The motivation paradox: Understanding contradictory effects of awards on contribution quantity versus quality in virtual community.
Inf. Manag., November, 2023

Save Our Souls: Study of Twitter Use during India's COVID-19 Pandemic.
Proceedings of the 44th International Conference on Information Systems, 2023

I am Safe, so I will Help: Prosocial Impact of Marking Oneself Safe during Disasters.
Proceedings of the Australasian Conference on Information Systems, 2023

2022
Artificial intelligence for decision support systems in the field of operations research: review and future scope of research.
Ann. Oper. Res., 2022

Impact of Community Recognition on the Quality of Online Reviewer Contribution.
Proceedings of the 26th Pacific Asia Conference on Information Systems, 2022

2020
Temporal Effects of Repeated Recognition and Lack of Recognition on Online Community Contributions.
J. Manag. Inf. Syst., 2020

One size does not fit all: Rethinking recognition system design for behaviorally heterogeneous online communities.
Inf. Manag., 2020

S-commerce: Influence of Facebook likes on purchases and recommendations on a linked e-commerce site.
Decis. Support Syst., 2020

2019
Time-contingent Impact of Inconsistent Action-based Information Cues on Social Commerce Purchases: An Experimental Investigation.
Proceedings of the 52nd Hawaii International Conference on System Sciences, 2019

2017
Whose online reviews to trust? Understanding reviewer trustworthiness and its impact on business.
Decis. Support Syst., 2017

Segmenting an Online Reviewer Community: Empirical Detection and Comparison of Reviewer Clusters.
Proceedings of the Australasian Conference on Information Systems, 2017

2016
Predicting Online Reviewer Popularity: A Comparative Analysis of Machine Learning Techniques.
Proceedings of the Internetworked World, 2016


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