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Title: Data analytics usage, absorptive capacity and sharing economy innovation performance
Authors: Chua, Alton Yeow Kuan
Liew, Hattie
Huang, Liuyu
Keywords: Social sciences::Communication
Issue Date: 2022
Source: Chua, A. Y. K., Liew, H. & Huang, L. (2022). Data analytics usage, absorptive capacity and sharing economy innovation performance. 17th International Conference, iConference 2022, LNCS 13192, 236-243.
Project: GA18-07 
metadata.dc.contributor.conference: 17th International Conference, iConference 2022
Abstract: This study investigates the usage of data analytics and absorptive capacity and its relationship to innovation performance in the context of the sharing economy. 127 survey responses from participants who held managerial positions or higher in organizations operating within the sharing economy were collected. A hierarchical regression analysis was conducted to assess the relationship between data analytic usage and absorptive capacity with innovation performance. Findings show that both data analytics usage and absorptive capacity are important to organizations operating in the sharing economy, with data analytic usage accounting for a higher variance in innovation performance.
ISBN: 9783030969561
DOI: 10.1007/978-3-030-96957-8_21
Schools: Wee Kim Wee School of Communication and Information 
Research Centres: Centre for Research and Development in Learning (CRADLE) 
Rights: © 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG. All rights reserved. This paper was published in Proceedings of 17th International Conference, iConference 2022 and is made available with permission of the Author(s).
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:WKWSCI Conference Papers

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