Leveraging Data Analytics for Behavioral Research

Luvai Motiwalla (), Amit V. Deokar (), Surendra Sarnikar () and Angelika Dimoka ()
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Luvai Motiwalla: University of Massachusetts Lowell
Amit V. Deokar: University of Massachusetts Lowell
Surendra Sarnikar: California State University East Bay
Angelika Dimoka: Temple University

Information Systems Frontiers, 2019, vol. 21, issue 4, No 1, 735-742

Abstract: Abstract Behavioral research in information systems employing quantitative methods has traditionally relied on mainly survey-based approaches to gather subjective user data. With new advances in technology such as mobile computing, wearable devices, and social media, along with computational capabilities, organizations are in a position to leverage objective data in addressing IT issues typically addressed in behavioral research. In this paper, we propose a framework for envisioning how data analytics may be leveraged in conducting behavioral research. Particularly, the framework is explained using examples from extant research along two broad avenues, namely ‘data analytics for data generation’ and ‘data analytics for model generation.’ The article also serves as an introduction to the special issue of the Information Systems Frontiers (ISF) journal on the topic of ‘Data Analytics in Behavioral Research.’

Keywords: Data analytics; Behavioral research; Data generation; Model generation (search for similar items in EconPapers)
Date: 2019
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Citations: View citations in EconPapers (11)

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DOI: 10.1007/s10796-019-09928-8

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