Aditya Karanam

National University of Singapore

COM3 02-31

Singapore

Singapore

SCHOLARLY PAPERS

4

DOWNLOADS

577

SSRN CITATIONS

3

CROSSREF CITATIONS

0

Scholarly Papers (4)

1.

Design fo Social Sharing: The Case of Mobile Apps

Information Systems Research, Forthcoming
Number of pages: 40 Posted: 17 Jul 2020 Last Revised: 07 Dec 2023
Aditya Karanam, Ashish Agarwal and Anitesh Barua
National University of Singapore, University of Texas at Austin - McCombs School of Business and University of Texas at Austin - Department of Information, Risk and Operations Management
Downloads 266 (216,027)
Citation 3

Abstract:

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Mobile apps; long tail; social features; natural language processing; deep learning

2.

Growing Technological Relatedness to the ICT Industry and Its Impacts

Information Systems Research, Forthcoming
Number of pages: 82 Posted: 24 Aug 2019 Last Revised: 16 Feb 2024
Aditya Karanam, Deepa Mani and Rajib L. Saha
National University of Singapore, Indian School of Business (ISB), Hyderabad and Indian School of Business (ISB), Hyderabad
Downloads 206 (275,165)
Citation 1

Abstract:

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Research and Development, Innovation, Information Systems, It Diffusion and Adoption, Organizational Studies, Effectiveness-Performance, Networks-Graphs

3.

Contagion and Comovement in Technology Partnerships

Indian School of Business
Number of pages: 42 Posted: 24 Feb 2020
Aditya Karanam, Deepa Mani and Rajib L. Saha
National University of Singapore, Indian School of Business (ISB), Hyderabad and Indian School of Business (ISB), Hyderabad
Downloads 105 (476,135)

Abstract:

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technology partnership, outsourcing, network, firm performance, contagion

4.

Follow Your Heart or Listen to Users: The Case of Mobile App Design

Posted: 12 May 2021 Last Revised: 03 Jul 2023
Aditya Karanam, Ashish Agarwal and Anitesh Barua
National University of Singapore, University of Texas at Austin - McCombs School of Business and University of Texas at Austin - Department of Information, Risk and Operations Management

Abstract:

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Mobile Apps; Innovation; Imitation; User suggestions; Natural Language Processing; Deep Learning