Please use this identifier to cite or link to this item:
https://hdl.handle.net/10356/161433
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. https://dx.doi.org/10.1007/978-3-030-96957-8_21 | 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. | URI: | https://hdl.handle.net/10356/161433 | 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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