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Title: Data analytics capabilities and organizational performance : the contingent effect of exploitative and exploratory innovation
Authors: Wan, X
Mao, JY
PoAn, Hsieh, JJ
Chen, F 
Keywords: Data analytics capabilities
Delphi method
Exploitative innovation
Exploratory innovation
Measure development
Organizational performance
Issue Date: 2018
Publisher: Association for Information Systems
Source: Transforming society with digital innovation : 38th International Conference on Information Systems (ICIS 2017) : Seoul, South Korea, 10-13 December 2017 How to cite?
Abstract: This study empirically investigates the impact of data analytics capabilities (DAC) on organizational performance, and the moderating role of exploitative and exploratory innovation. Based on a slightly revised Delphi study and interviews, this study specifies DAC as a second-order reflective-formative construct, consisting of four first-order constructs such as data collection ability, analytical ability, business knowledge of the IT department, and analytics maturity. As a result, a 15-item scale is developed for DAC. This study plans to test the hypothesized main effect and moderating relationships with a survey of business and IT managers in matched pairs. This study is expected to contribute to the literature in the following two ways: First, the empirical results will shed new light on whether and when DAC can enhance organizational performance (i.e., operational excellence, customer satisfaction, and financial returns). Second, the specification and newly developed measure of DAC can facilitate future empirical research related to DAC.
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