ZARERAVASAN, Ahad. Boosting innovation performance through big data analytics: An empirical investigationon the role of firm agility. Journal of Information Science. London: SAGE PUBLICATIONS LTD, 2023, vol. 49, No 5, p. 1293-1308. ISSN 0165-5515. Available from: https://dx.doi.org/10.1177/01655515211047425.
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Basic information
Original name Boosting innovation performance through big data analytics: An empirical investigationon the role of firm agility
Authors ZARERAVASAN, Ahad (364 Islamic Republic of Iran, guarantor, belonging to the institution).
Edition Journal of Information Science, London, SAGE PUBLICATIONS LTD, 2023, 0165-5515.
Other information
Original language English
Type of outcome Article in a journal
Field of Study 50204 Business and management
Country of publisher United Kingdom of Great Britain and Northern Ireland
Confidentiality degree is not subject to a state or trade secret
WWW URL
Impact factor Impact factor: 2.400 in 2022
RIV identification code RIV/00216224:14560/23:00133993
Organization unit Faculty of Economics and Administration
Doi http://dx.doi.org/10.1177/01655515211047425
UT WoS 000708498700001
Keywords in English Agility; BDA team sophistication; big data analytics; big data business value; data-driven culture; dynamic capabilities theory; innovation performance
Tags business Analytics, IT business value
Tags International impact, Reviewed
Changed by Changed by: doc. Ahad Zareravasan, PhD, učo 243210. Changed: 18/1/2024 12:43.
Abstract
While past studies proposed the role of big data analytics (BDA) as one of the primary pathways to business value creation, current knowledge on the link between BDA and innovation performance remains limited. In this regard, this study intends to fill this research gap by developing a theoretical framework for understanding how and under which mechanisms BDA influences innovation performance. Firm agility (conceptualised as sensing agility, decision-making agility and acting agility) is used in this research as the mediator between BDA and innovation performance. Besides, this research conceptualises two moderating variables: data-driven culture and BDA team sophistication. This study employs partial least squares (PLS) to test and validate the proposed hypotheses using survey data of 185 firms. The results show that firm agility significantly mediates the link between BDA use and innovation performance. Besides, the results suggest that data-driven culture moderates the relation between sensing agility and decision-making agility. This research also supports the moderating role of BDA team sophistication on the link between BDA use and sensing agility.
Links
GA20-12081S, research and development projectName: Zpětnovazební model hodnoty vytvářené informačními systémy: oboustranný vztah mezi investicemi do IS a podnikovou výkonností
Investor: Czech Science Foundation
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