Supply Chain Management and Business Performance of Agri-Farm Businesses in the Province of Rizal
DOI:
https://doi.org/10.5281/zenodo.23362722Keywords:
supply chain management, SCOR model, agri-farm businesses, business performance, cost efficiency, Rizal ProvinceAbstract
This study examined supply chain management (SCM) practices and their relationship with non-financial business performance among agri-farm businesses in the Province of Rizal, Philippines. Guided by the Supply Chain Operations Reference (SCOR) model, it assessed Plan, Source, Make, Deliver, and Return alongside cost efficiency, operational efficiency, and customer satisfaction. A quantitative descriptive-correlational design involved 57 agri-farm owners, managers, or supervisors and 285 customers (N = 342), selected through stratified sampling. Validated five-point questionnaires were analyzed using frequencies, percentages, weighted means, group-comparison tests, and Pearson correlation. Overall SCM implementation was high (M = 3.92), led by Source (M = 4.17), whereas Return ranked lowest (M = 3.80). Customer satisfaction (M = 4.07), operational efficiency (M = 4.01), and cost efficiency (M = 3.86) also received high assessments. SCM assessments did not significantly differ by the reported respondent profile categories. Among agri-farm representatives, overall SCM was positively associated with overall business performance (r = .838, p < .001). Deliver and Return had strong positive correlations with cost efficiency (r = .887 and .889, respectively; both p < .001); Source was positively associated with operational efficiency (r = .367, p = .005). The findings identify delivery reliability and return management as priority areas for process improvement, while supporting a locally grounded, SCOR-based management framework. Because the study is cross-sectional and relies on self-reported assessments, the relationships should not be interpreted as causal.
Downloads
References
Ahumada, O., & Villalobos, J. R. (2011). Operational model for planning the harvest and distribution of perishable agricultural products. International Journal of Production Economics, 133(2), 677–687. https://doi.org/10.1016/j.ijpe.2011.05.015
Alfalla-Luque, R., Medina-Lopez, C., & Dey, P. K. (2013). Supply chain integration framework using literature review. Production Planning & Control, 24(8–9), 800–817. https://doi.org/10.1080/09537287.2012.666870
APICS Supply Chain Council. (2017). SCOR: Supply chain operations reference model, version 12.0. Association for Supply Chain Management.
Bolstorff, P., & Rosenbaum, R. (2011). Supply chain excellence: A handbook for dramatic improvement using the SCOR model (3rd ed.). AMACOM.
Callado, A. A. C., Jack, L., & Leon-Callado, A. L. (2015). Use of non-financial metrics and the role played by agribusiness companies within the supply chain structure. Revista Base (Administração e Contabilidade) da UNISINOS, 12(3), 183–192.
Chopra, S., & Meindl, P. (2019). Supply chain management: Strategy, planning, and operation (7th ed.). Pearson.
Creswell, J. W., & Creswell, J. D. (2018). Research design: Qualitative, quantitative, and mixed methods approaches (5th ed.). SAGE Publications.
Fraenkel, J. R., Wallen, N. E., & Hyun, H. H. (2019). How to design and evaluate research in education (10th ed.). McGraw-Hill Education.
Gunasekaran, A., & Ngai, E. W. T. (2004). Information systems in supply chain integration and management. European Journal of Operational Research, 159(2), 269–295. https://doi.org/10.1016/j.ejor.2003.08.016
Gunasekaran, A., Papadopoulos, T., Dubey, R., Wamba, S. F., Childe, S. J., Hazen, B., & Akter, S. (2017). Big data and predictive analytics for supply chain and organizational performance. Journal of Business Research, 70, 308–317. https://doi.org/10.1016/j.jbusres.2016.08.004
Kaplan, R. S., & Norton, D. P. (1992). The balanced scorecard—Measures that drive performance. Harvard Business Review, 70(1), 71–79.
Kaplan, R. S., & Norton, D. P. (1996). The balanced scorecard: Translating strategy into action. Harvard Business School Press.
Lambert, D. M., & Cooper, M. C. (2000). Issues in supply chain management. Industrial Marketing Management, 29(1), 65–83. https://doi.org/10.1016/S0019-8501(99)00113-3
Lockamy, A., & McCormack, K. (2004). The development of a supply chain management process maturity model using the SCOR model. Supply Chain Management: An International Journal, 9(4), 272–278. https://doi.org/10.1108/13598540410550019
Malaque, I., & Yokohari, M. (2007). Urbanization process and the changing agricultural landscape pattern in the urban fringe of Metro Manila, Philippines. Environment and Urbanization, 19(1), 191–206. https://doi.org/10.1177/0956247807076914
Mentzer, J. T., DeWitt, W., Keebler, J. S., Min, S., Nix, N. W., Smith, C. D., & Zacharia, Z. G. (2001). Defining supply chain management. Journal of Business Logistics, 22(2), 1–25. https://doi.org/10.1002/j.2158-1592.2001.tb00001.x
Nagle, T. T., Hogan, J. E., & Zale, J. (2016). The strategy and tactics of pricing: A guide to growing more profitably (5th ed.). Routledge.
Pallant, J. (2020). SPSS survival manual: A step-by-step guide to data analysis using IBM SPSS (7th ed.). Open University Press.
Philippine Statistics Authority. (2022, November 28). Rizal posted the biggest annual decline in the value of production in agriculture and fisheries at -41.9 percent in 2021 (at constant 2018 prices). https://psa.gov.ph/content/rizal-posted-biggest-annual-decline-value-production-agriculture-and-fisheries-419-percent
Prajogo, D., & Olhager, J. (2012). Supply chain integration and performance: The effects of long-term relationships, information technology and sharing, and logistics integration. International Journal of Production Economics, 135(1), 514–522. https://doi.org/10.1016/j.ijpe.2011.09.001
Rodrigue, J. P., Comtois, C., & Slack, B. (2017). The geography of transport systems (4th ed.). Routledge. https://doi.org/10.4324/9781315310572
Rogers, D. S., & Tibben-Lembke, R. S. (1999). Going backwards: Reverse logistics trends and practices. Reverse Logistics Executive Council.
Seuring, S., & Müller, M. (2008). From a literature review to a conceptual framework for sustainable supply chain management. Journal of Cleaner Production, 16(15), 1699–1710. https://doi.org/10.1016/j.jclepro.2008.04.020
Silver, E. A., Pyke, D. F., & Thomas, D. J. (2017). Inventory and production management in supply chains (4th ed.). CRC Press.
Supply Chain Council. (2012). Supply chain operations reference (SCOR) model: Overview version 11.0.
Swink, M., Melnyk, S. A., Cooper, M. B., & Hartley, J. L. (2017). Managing operations across the supply chain (3rd ed.). McGraw-Hill Education.
Downloads
Published
Issue
Section
License

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