The Impact of Big Data Analytics on Firm’s Operational Performance:Mediating Role of Knowledge Management Process

Iftikhar, Anas and Ali, Imran and Shah, Adeel (2021) The Impact of Big Data Analytics on Firm’s Operational Performance:Mediating Role of Knowledge Management Process. In: 2nd Asia Pacific Conference on Industrial Engineering and Operations Management - Proceedings. Asia Pacific Conference on Industrial Engineering and Operations Management . IEOM, IDN, pp. 122-132. ISBN 9781792361296

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Abstract

Big data analytics is the use of advanced analytical techniques on a large dataset to extract meaningful information and knowledge for rational decision making on complex operational problems. Despite the conceptualized nexus between big data analytics and knowledge management, there is a lack of empirical evidence at the nexus of these two important concepts. This research aims to bridge the current gap by devising a model that delves into the direct influence of big data analytics on a firm's operational performance and mediating effect of the knowledge management process (knowledge acquisition, knowledge dissemination, and knowledge application). The model is tested with data based on a sample of 84 manufacturing companies from Pakistan. The results reveal that the knowledge management process has a full mediating effect between big data analytics and operational performance. We contribute to the extant literature of big data analytics and operational performance by offering a more nuanced understanding of the different components of the knowledge management process. These findings provide strategic insights for the senior management on how to best capitalize on the benefits of big data analytics.

Item Type:
Contribution in Book/Report/Proceedings
Subjects:
ID Code:
166022
Deposited By:
Deposited On:
17 Nov 2022 10:20
Refereed?:
Yes
Published?:
Published
Last Modified:
21 Nov 2022 17:51