Big Data Analytics and market competitiveness of selected firms in Lagos State, Nigeria

https://doi.org/10.35912/amor.v4i4.1713
Published: Oct 26, 2023

Abstract:

Purpose: This study specifically evaluates the effect of Intangible Big Data Analytics Resources (IBDAR) and Tangible Big Data Analytics Resources (TBDAR) on a firm’s market competitiveness in manufacturing firms. The authors used RBV as the main theoretical framework to investigate this.

Research methodology: This study used a survey research design. The study employed a non-probability sample and a final sample of seventy-two employees selected from manufacturing firms in Lagos State, Nigeria.

Results: The hypotheses were tested using multiple linear regressions. The empirical results showed that the organizational use of TBDAR has a significant effect on Market Competitiveness (MCOM), and that the organizational use of IBDAR has a significant effect on MCOM.

Limitations: First, the sample is restricted to only the Nigerian setting; to draw broader and deeper implications, it could be useful to take diverse samples from different contexts and sectors. Second, this study does not utilize the PLS-SEM technique to model mediators and moderators.

Contribution: This study has significant policy implications for practitioners and is an original study based on primary data from Nigerian manufacturing firms.

Keywords:
1. Big Data
2. Big Data Analytics
3. Market Competitiveness
4. Tangible Big Data Analytics Resources
5. Intangible Big Data Analytics Resources
Authors:
1 . Nwosu Kanayo Chike
Nnamdi Azikiwe University, Nigeria
2 . Euphemia Ifunanya Mbamalu
Nnamdi Azikiwe University, Nigeria
3 . Chimezie Alex Oguanobi
Nnamdi Azikiwe University, Nigeria
4 . Chinedu Francis Egbunike
Nnamdi Azikiwe University, Nigeria
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How to Cite
Chike, N. K., Mbamalu, E. I., Oguanobi, C. A., & Egbunike, C. F. (2023). Big Data Analytics and market competitiveness of selected firms in Lagos State, Nigeria. Annals of Management and Organization Research, 4(4), 251–269. https://doi.org/10.35912/amor.v4i4.1713
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Issue & Section
Vol. 4 No. 4 (2023): May
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