Enhancing Business Performance through Competitive Capability: The Role of Strategic Resources in Vietnamese Cashew Firms
DOI:
https://doi.org/10.48161/qaj.v6n2a2471Keywords:
Strategic resources, Competitive capability, Business performance, Dynamic capability theory, Vietnamese cashew industryAbstract
This study investigates the influence of strategic enterprise resources on business performance through the mediating role of competitive capability in Vietnamese cashew firms. Drawing upon Resource-Based View (RBV) theory and Dynamic Capability Theory, the study examines how technological capability, supply chain orientation, business strategy, and market orientation contribute to organizational competitiveness and performance. Data were collected from 560 managers and executives working in Vietnamese cashew enterprises. The measurement model was validated using Cronbach’s Alpha and Exploratory Factor Analysis (EFA), while Partial Least Squares Structural Equation Modeling (PLS-SEM) with SmartPLS was employed to test the hypothesized relationships. PLS-SEM was selected due to the predictive orientation of the study, the complexity of the structural model, and the inclusion of multiple mediating relationships. The findings reveal that strategic resources significantly influence business performance both directly and indirectly through competitive capability. Technological capability and market orientation emerged as key drivers of competitiveness, while supply chain orientation and business strategy demonstrated substantial effects on organizational performance. The results emphasize the critical role of internal resource deployment and dynamic capability development in achieving sustainable competitive advantage within the Vietnamese cashew industry. The study contributes to the literature by extending RBV and Dynamic Capability Theory in the context of agri-business competitiveness and offers practical implications for managers and policymakers seeking to strengthen firm resilience and long-term growth.
Downloads
References
Toai, D. B. (2025). Vietnam's Agricultural Export Competitiveness in the Global Market: A Panel Data Analysis. Economics and Management Innovation, 2(4), 110-117.
Jha, S., & Fali, I. M. (2023). Retail performance and competitive positioning of Nike and Adidas in Australia in the period (2016–2017): A comparative statistical and strategic analysis. Qubahan EcoLead Journal, 1(4).
Teece, D. J. (2018). Business models and dynamic capabilities. Long Range Planning, 51(1), 40–49.
Correia, R. J., Dias, J. G., & Teixeira, M. S. (2021). Dynamic capabilities and competitive advantages as mediator variables between market orientation and business performance. Journal of Strategy and Management, 14(2), 187–206.
Haseeb, M., Hussain, H. I., Kot, S., Androniceanu, A., & Jermsittiparsert, K. (2019). Role of social and technological challenges in achieving a sustainable competitive advantage and sustainable business performance. Sustainability, 11(14), 3811.
Jitsutthiphakorn, U. (2021). Innovation, firm productivity, and export survival: Firm-level evidence from ASEAN developing countries. Journal of Economic Structures, 10(1), 22.
Li, S., Ragu-Nathan, B., Ragu-Nathan, T., & Rao, S. S. (2006). The impact of supply chain management practices on competitive advantage and organizational performance. Omega, 34(2), 107–124.
Morgan, N. A., Vorhies, D. W., & Mason, C. H. (2009). Market orientation, marketing capabilities, and firm performance. Strategic Management Journal, 30(8), 909–920.
Barney, J. (1991). Firm resources and sustained competitive advantage. Journal of Management.
Eisenhardt, K. M., & Martin, J. A. (2017). Dynamic capabilities: What are they? In The SMS Blackwell Handbook of Organizational Capabilities (pp. 341–363).
Pal, S. (2025). Riding on perceptions: Decoding customer choice dynamics across the two-wheeler industry landscape. Qubahan EcoLead Journal, 4(4).
Hair, J. F., Ringle, C. M., & Sarstedt, M. (2013). Partial least squares structural equation modeling: Rigorous applications, better results and higher acceptance. Long Range Planning, 46(1–2), 1–12.
Cohen, J. (2013). Statistical power analysis for the behavioral sciences. Routledge.
Daoud, J. I. (2017). Multicollinearity and regression analysis. Journal of Physics: Conference Series, 949(1), 012009.
Sarstedt, M., Ringle, C. M., & Hair, J. F. (2021). Partial least squares structural equation modeling. In Handbook of Market Research (pp. 587–632). Springer.
Christopher, M. (2022). Logistics and supply chain management. Pearson UK.
Porter, M. E. (1991). Towards a dynamic theory of strategy. Strategic Management Journal, 12(S2), 95–117.
Kohli, A. K., & Jaworski, B. J. (1990). Market orientation: The construct, research propositions, and managerial implications. Journal of Marketing, 54(2), 1–18.
Porter, M. E. (1985). Technology and competitive advantage. Journal of Business Strategy, 5(3), 60–78.
Tan, K. C. (2002). Supply chain management: Practices, concerns, and performance issues. Journal of Supply Chain Management, 38(4), 42–53.
Porter, M. E. (1980). Industry structure and competitive strategy: Keys to profitability. Financial Analysts Journal, 36(4), 30–41.
Narver, J. C., & Slater, S. F. (1990). The effect of a market orientation on business profitability. Journal of Marketing, 54(4), 20–35.
Kaplan, R. S., & Norton, D. P. (1996). The balanced scorecard. Harvard Business School Press.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2026 Qubahan Academic Journal

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.



