Awan, Usama, Hussain Bhatti, Sabeen, Shamim, Saqib, Khan, Zaheer, Akhtar, Pervaiz, Balta, Maria Elisavet (2021) The role of big data analytics in manufacturing agility and performance: moderation-mediation analysis of organizational creativity and of the involvement of customers as data analysts. British Journal of Management, . ISSN 1045-3172. E-ISSN 1467-8551. (doi:10.1111/1467-8551.12549) (Access to this publication is currently restricted. You may be able to access a copy if URLs are provided) (KAR id:90076)
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Official URL: https://doi.org/10.1111/1467-8551.12549 |
Abstract
The involvement of customers as data analysts enables firms to gain valuable insights and create value from big data. We provide a theoretical explanation, drawn from the resource-based view, for the influence of the involvement of customers as data analysts and of the development of big data analytics capabilities in business to business contexts as routes to manufacturing agility and performance. Our study empirically tested a framework in which organizational creativity and the involvement of customers as data analysts may differentially influence the relationship between big data analytics capabilities and manufacturing agility. We further tested whether the relative impact of manufacturing agility depends on organizational creativity and the involvement of customers as data analysts. To test our proposed framework, we took a partial least square structural modeling approach using data collected through a survey involving 179 engineering manufacturers operating across different industrial sectors in Pakistan. We provide evidence for organizational creativity and customer involvement presenting a promising opportunity for manufacturers to gain better insights from resources, and for the deployment of big data analytics capabilities leading to better manufacturing agility and performance.
Item Type: | Article |
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DOI/Identification number: | 10.1111/1467-8551.12549 |
Uncontrolled keywords: | Organizational creativity; big data analytics capability; customer involvement as a data analyst; manufacturing agility; manufacturing performance; emerging markets |
Subjects: | H Social Sciences |
Divisions: | Divisions > Kent Business School - Division > Department of Leadership and Management |
Depositing User: | Maria Balta |
Date Deposited: | 08 Sep 2021 11:21 UTC |
Last Modified: | 02 Dec 2021 15:30 UTC |
Resource URI: | https://kar.kent.ac.uk/id/eprint/90076 (The current URI for this page, for reference purposes) |
Shamim, Saqib: | ![]() |
Khan, Zaheer: | ![]() |
Balta, Maria Elisavet: | ![]() |
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