Auh, S, Menguc, B orcid.org/0000-0002-4116-3047, Sainam, P et al. (1 more author) (2021) The missing link between analytics readiness and service firm performance. Service Industries Journal. ISSN 0264-2069
Abstract
Although the importance of analytics is a veritable mantra in today’s business environment, little academic research has been devoted to understanding the degree to which firms are ready to incorporate an analytics strategy into their business model and how and when analytics readiness (AR) translates into firm performance. Three studies address this void. In Study 1, we conduct interviews with MBA students from the United States to assess the AR construct. In Study 2, we develop and validate an AR scale using data from Turkish service firms. In Study 3, we test how and when AR translates into firm performance using data from South Korean service firms. The results contribute to the analytics literature in the following ways: First, AR is a higher-order construct comprised of five lower-order dimensions: cultural readiness, leadership commitment, strategic alignment, structural readiness, and talent capacity. Second, an exploratory (exploitative) market learning strategy amplifies (mitigates) the effect of AR on relative emphasis on data- (vs. instinct-) driven decision making. We discuss theoretical and managerial implications along with limitations and directions for further research.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2021 Informa UK Limited, trading as Taylor & Francis Group. This is an author produced version of an article published in Service Industries Journal. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | Analytics readiness; analytics; data-driven decision making; exploratory learning; exploitative learning |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Business (Leeds) > Marketing Division (LUBS) |
Depositing User: | Symplectic Publications |
Date Deposited: | 03 Nov 2021 12:41 |
Last Modified: | 02 May 2023 00:13 |
Status: | Published online |
Publisher: | Taylor & Francis |
Identification Number: | 10.1080/02642069.2021.1998461 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:179394 |