Keshavarz, Hassan and Mohd. Mahdzir, Akbariah and Talebian, Hosna and Jalaliyoon, Neda and Ohshima, Naoki (2021) The value of big data analytics pillars in telecommunication industry. Sustainability (Switzerland), 13 (13). pp. 1-36. ISSN 2071-1050
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Official URL: http://dx.doi.org/10.3390/su13137160
Abstract
In the Big Data age, businesses in every industry must deal with vast volumes of data. Several experts and practitioners have lately emphasized the need of understanding how, why, and when Big Data Analytics (BDA) applications may be a valuable resource for businesses seeking a competitive edge. However, BDA pays off for some firms while failing to pay off for others due to the fact that investment in Big Data continues to present significant challenges due to the missing link between analytics capabilities and firm performance. According to a recent survey, many businesses spend the bulk of their time analyzing data, with only a tiny fraction employing Big Data Analytics to forecast outcomes and even fewer utilizing analytics apps to enhance processes and strategies. As a result, BDA is not widely used, and only a few companies have seen any benefit from it. To address this issue in the telecommunications domain and in light of the paucity of research on the subject, this study focused on the BDA Pillars (BDAP) in order to achieve benefits through increased revenues and cost savings. For the purpose of this research we have adopted qualitative approach with case study method, and technique of data collection includes semi-structure interview and document analysis. The Delphi technique and in-depth interviews conducted confirmed the existence of five critical elements that contribute to the sustainability of BDAPs and their impact on firm performance.
Item Type: | Article |
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Uncontrolled Keywords: | business value, firm performance, innovations and sustainability in telecom |
Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK5101-6720 Telecommunication |
Divisions: | Malaysia-Japan International Institute of Technology |
ID Code: | 94808 |
Deposited By: | Yanti Mohd Shah |
Deposited On: | 29 Apr 2022 22:27 |
Last Modified: | 29 Apr 2022 22:27 |
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