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All Journal Annals of Management and Organization Research Journal of Multidisciplinary Academic and Practice Studies
Mbamalu, Euphemia Ifunanya
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Humanities Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Languange, Linguistic, Communication & Media Social Sciences Other

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Big Data Analytics and market competitiveness of selected firms in Lagos State, Nigeria Chike, Nwosu Kanayo; Mbamalu, Euphemia Ifunanya; Oguanobi, Chimezie Alex; Egbunike, Chinedu Francis
Annals of Management and Organization Research Vol. 4 No. 4 (2023): May
Publisher : goodwood publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35912/amor.v4i4.1713

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.
Sustainable supply chain management and organisational performance: Perception of academics and practitioners Mbamalu, Euphemia Ifunanya; Chike, Nwosu Kanayo; Oguanobi, Chimezie Alex; Egbunike, Chinedu F.
Annals of Management and Organization Research Vol. 5 No. 1 (2023): August
Publisher : goodwood publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35912/amor.v5i1.1758

Abstract

Purpose: The primary objective of this study is to examine the nexus of sustainable supply chain management and organisational performance perceptions of academics and practitioners in Awka, Anambra State, Nigeria. Research Methodology: Data were collected using questionnaires from 122 respondents in the Awka region. The data were analysed using descriptive, correlation and regression analysis for the test of hypotheses. Results: The linear regression showed that DC components of collaboration and resilience are positively related to OP; with the latter non-significant. Limitations: This study was limited by its sample size of 122 academics and practitioners and restrictions on the SSCM and OP nexus. The sample may have affected the generalizability of our results. The study does not address the other dimensions of TBL such as organisational social and environmental concerns. Contribution: The analytical results of the research contribute to the body of knowledge, enabling practitioners to organise and implement sustainable supply chain efforts as well as monitor and evaluate how these initiatives impact the operations of Nigerian enterprises in the long run.
The effect of FDI Net Inflow on the GDP growth rate: 1990-2021 Chike, Nwosu Kanayo; Oguanobi, Chimezie Alex; Mbamalu, Euphemia Ifunanya; Egbunike, Chinedu Francis
Journal of Multidisciplinary Academic and Practice Studies Vol. 1 No. 2 (2023): May
Publisher : Goodwood Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35912/jomaps.v1i2.1637

Abstract

Purpose: This study investigates the impact of foreign direct investment (FDI) net inflows on Nigeria’s gross domestic product (GDP) growth rate from 1990 to 2021, addressing the ongoing debate on the role of FDI in fostering sustainable economic growth. Methods: The research employed an ex post facto design using secondary data obtained from the World Bank’s World Development Indicators. Stationarity was tested using the Augmented Dickey-Fuller (ADF) unit root test. Ordinary Least Squares (OLS) regression was applied, complemented by robustness checks using Dynamic Ordinary Least Squares (DOLS), to test the hypotheses and validate the model. Results: Findings reveal that FDI net inflows significantly and positively affect GDP growth in Nigeria (p<0.05). Control variables such as the degree of economic openness (DEGO) and inflation (INFL) showed positive but statistically non-significant effects under OLS, though DOLS results indicate DEGO as positive and significant while INFL was negative and significant. The results confirm that FDI contributes to economic growth by promoting capital accumulation, technology transfer, and managerial expertise. Conclusion: The study concludes that FDI net inflows play a critical role in driving Nigeria’s economic growth. Policies aimed at improving openness, institutional quality, and macroeconomic stability are necessary to maximize the benefits of FDI. Limitations: The analysis is limited to Nigeria’s data and selected control variables, restricting broader generalization across Sub-Saharan Africa. Contribution: This study enriches the literature on FDI-growth nexus in developing economies, offering policy insights for enhancing sustainable growth through effective FDI management.
Big Data Analytics and market competitiveness of selected firms in Lagos State, Nigeria Chike, Nwosu Kanayo; Mbamalu, Euphemia Ifunanya; Oguanobi, Chimezie Alex; Egbunike, Chinedu Francis
Annals of Management and Organization Research Vol. 4 No. 4 (2023): May
Publisher : goodwood publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35912/amor.v4i4.1713

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.
Co-Authors Chike, Nwosu Kanayo Egbunike, Chinedu F. Egbunike, Chinedu Francis Oguanobi, Chimezie Alex