Data Analytics Usage, Absorptive Capacity and Sharing Economy Innovation Performance

Alton Y.K. Chua; Hattie Liew; Liuyu Huang

doi:10.1007/978-3-030-96957-8_21

Data Analytics Usage, Absorptive Capacity and Sharing Economy Innovation Performance

Alton Y.K. Chua^*, Hattie Liew, Liuyu Huang

^*Corresponding author for this work

Nanyang Technological University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Citation (Scopus)

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.

Original language	English
Title of host publication	Information for a Better World
Subtitle of host publication	Shaping the Global Future - 17th International Conference, iConference 2022, Proceedings
Editors	Malte Smits
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	236-243
Number of pages	8
ISBN (Print)	9783030969561
DOIs	https://doi.org/10.1007/978-3-030-96957-8_21
Publication status	Published - 2022
Externally published	Yes
Event	17th International Conference on Information for a Better World: Shaping the Global Future, iConference 2022 - Virtual, Online Duration: Feb 28 2022 → Mar 4 2022

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	13192 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	17th International Conference on Information for a Better World: Shaping the Global Future, iConference 2022
City	Virtual, Online
Period	2/28/22 → 3/4/22

Bibliographical note

Publisher Copyright:
© 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

ASJC Scopus Subject Areas

Theoretical Computer Science
General Computer Science

Keywords

Absorptive capacity
Data analytics
Innovation performance
Sharing economy

Access to Document

10.1007/978-3-030-96957-8_21

Cite this

Chua, A. Y. K., Liew, H., & Huang, L. (2022). Data Analytics Usage, Absorptive Capacity and Sharing Economy Innovation Performance. In M. Smits (Ed.), Information for a Better World: Shaping the Global Future - 17th International Conference, iConference 2022, Proceedings (pp. 236-243). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 13192 LNCS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-96957-8_21

Chua, Alton Y.K. ; Liew, Hattie ; Huang, Liuyu. / Data Analytics Usage, Absorptive Capacity and Sharing Economy Innovation Performance. Information for a Better World: Shaping the Global Future - 17th International Conference, iConference 2022, Proceedings. editor / Malte Smits. Springer Science and Business Media Deutschland GmbH, 2022. pp. 236-243 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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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.",

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Chua, AYK, Liew, H & Huang, L 2022, Data Analytics Usage, Absorptive Capacity and Sharing Economy Innovation Performance. in M Smits (ed.), Information for a Better World: Shaping the Global Future - 17th International Conference, iConference 2022, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 13192 LNCS, Springer Science and Business Media Deutschland GmbH, pp. 236-243, 17th International Conference on Information for a Better World: Shaping the Global Future, iConference 2022, Virtual, Online, 2/28/22. https://doi.org/10.1007/978-3-030-96957-8_21

Data Analytics Usage, Absorptive Capacity and Sharing Economy Innovation Performance. / Chua, Alton Y.K.; Liew, Hattie; Huang, Liuyu.
Information for a Better World: Shaping the Global Future - 17th International Conference, iConference 2022, Proceedings. ed. / Malte Smits. Springer Science and Business Media Deutschland GmbH, 2022. p. 236-243 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 13192 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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AU - Huang, Liuyu

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AB - 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.

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Chua AYK, Liew H, Huang L. Data Analytics Usage, Absorptive Capacity and Sharing Economy Innovation Performance. In Smits M, editor, Information for a Better World: Shaping the Global Future - 17th International Conference, iConference 2022, Proceedings. Springer Science and Business Media Deutschland GmbH. 2022. p. 236-243. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-030-96957-8_21

Data Analytics Usage, Absorptive Capacity and Sharing Economy Innovation Performance

Abstract

Publication series

Conference

Bibliographical note

ASJC Scopus Subject Areas

Keywords

Access to Document

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