Data Science and Analytics for Decision Support (SIG DSA)

Paper Type

ERF

Paper Number

1766

Description

Companies have been investing in Big Data Analytics for several years since the emergence of this phenomenon. While their Big Data Analytics investments have undoubtedly brought benefits to firms as they have gained insightful knowledge from the large amounts of data they have been collecting and analyzing, there are concerns about whether firms are deriving the value they thought they would be getting from their Big Data investments. We develop a model of technology adoption that examines the role of drivers such as social contagion and management fashion in Big Data Analytics adoption. In addition to building a theoretical model of adoption for Big Data Analytics that goes beyond the dominant paradigm, we apply our model using a reflective methodology where we examine if there is a gap between the perceptions of value that existed when firms started out with investing in Big Data Analytics and their perceptions today. This is an innovative paper which brings out aspects of Big Data Analytics adoption that has not been examined before.

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Aug 9th, 12:00 AM

A Beyond the Dominant Paradigm Model for Examining Adoption of Big Data

Companies have been investing in Big Data Analytics for several years since the emergence of this phenomenon. While their Big Data Analytics investments have undoubtedly brought benefits to firms as they have gained insightful knowledge from the large amounts of data they have been collecting and analyzing, there are concerns about whether firms are deriving the value they thought they would be getting from their Big Data investments. We develop a model of technology adoption that examines the role of drivers such as social contagion and management fashion in Big Data Analytics adoption. In addition to building a theoretical model of adoption for Big Data Analytics that goes beyond the dominant paradigm, we apply our model using a reflective methodology where we examine if there is a gap between the perceptions of value that existed when firms started out with investing in Big Data Analytics and their perceptions today. This is an innovative paper which brings out aspects of Big Data Analytics adoption that has not been examined before.

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