Determinants of Performance and Structural Relationships of Rice Processing Industry Performance: Resources Based View Approach
Abstract
Purpose: Attention to the capacity of rice milling companies is very important because this company is the main business actor that creates added value. This study aims: (1) to identify the determinants of the performance of the rice milling industry based on the Resources Based View (RBV) framework and (2) to formulate the structural relationship that occurs between the resources of rice milling companies on business performance.
Methodology/Approach: RBV framework and formulate the structural relationships that occur between company resources and business performance Through the SEM-PLS method.
Findings: Structurally, the results of the analysis show that the performance of rice mills is directly determined by reputation with the largest path coefficient of 0.856 and is then followed by marketing differentiation 0.184 and human capital 0.1822, while tangible assets directly have a negative relationship (-0.236) but indirectly through the latent variable the reputation as a mediator has a greater (0.558) and significant positive relationship.
Research Limitation/Implication: The research has empirical implications that not all RBV dimensions can predict the performance of the rice industry, especially organizational variables. This illustrates that in reality in the manufacturing industry, organizational function variables do not really affect the produced.
Originality/Value of paper: This article becomes an important for policymakers in Aceh Province to develop the rice milling industry based on the RBV.
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References
Bahri, T.S., Hakim, D.B., Juanda, B. and Sahara, S., 2020. Determining Rice Production and Distribution in Aceh Proviance. IOP Conf. Ser.: Earth Environ. Sci, 644, 012071.
Barney, J., 1991. Firm Resource and Sustained Competitive Advantage. Journal of Manajement, 17, pp.99-120.
Galbreath, J., 2005. Which resources matter the most to firm success? An exploratory study of resource-based theory. Technovation, [e-journal] 25(9), pp.979-987. DOI: 10.1016/j.technovation.2004.02.008.
Hair, J.F., Ringle, C.M. and Sarstedt, M., 2013. Editorial Partial Least Square Structural Equation Modeling: Rigorous Applications, Better Results and Higher Acceptance. Long Range Planning, [e-journal] 46(1-2), pp.1-12. DOI: 10.1016/j.lrp.2013.08.016.
Juanda, B., 2009. Metodologi Penelitian Ekonomi dan Bisnis. Bogor: IPB Press.
Kaleka, A., 2002. Resources and Capabilities Driving Competitive Advantage in Export Markets: Guidelines for Industrial Exporters. Industrial Marketing Management, [e-journal] 31(3), pp.273-283. DOI: 10.1016/S0019-8501(00)00148-6.
Madhani, P.M., 2010. Resource Based View (RBV) of Competitive Advantage: An Overview. Economics of Networks eJournal, pp.3-22.
Naderifar, M., Goli, H. and Ghaljaie, F., 2017. Snowball Sampling: A Purposefull Method of Sampling in Qualitative Research. Strides in Development of Medical Education, [e-journal] 14(3), e67670. DOI: 10.5812/sdme.67670.
Nkuba, J., Ndunguru, A., Madulu, R., Lwezaura, D., Kajiru, G., Babu, A., Chalamila, B. and Ley, G., 2016. Rice Value Chain Analysis in Tanzania: Identification of Constraints, Oppurtunities and Upgrading Strategies. African Crop Science Journal, [e-journal] 24(1), pp.73-87. DOI: 10.4314/acsj.v24i1.8S.
Pavithra, A.S., Singh, K.M., Ahmad, N., Sinha, D.K. and Mishra, R.R., 2018. Economic analysis of rice value chain in Bihar and Karnataka States of India. International Journal of Current Microbiology and Applied Sciences, [e-journal] 7(3), pp.2738-2747. DOI: 10.20546/ijcmas.2018.703.316.
Penrose, E., 1959. The Theory of the Growth of the Firm (With a New Introduction by Christos N. Pitelis, 2009. Oxford: Oxford University Press.
Peteraf, M.A., 1993. The Cornerstones of Competitive Advantage: A Resource-Based View. Strategic Management Journal, 14(3), pp.179-191.
Ramon-Jeronimo, J.M., Florez-Lopez, R. and Araujo-Pinzon, P., 2019. Resource-Based View and SMEs Performance Exporting through Foreign Intermediaries: The Mediating Effect of Management Controls. Sustainability, [e-journal] 11(12), 3241. DOI: https://doi.org/10.3390/su11123241.
Ritthaisong, Y., Johri, L.M. and Speece, M., 2014. Sources of Sustainable Competitive Advantage: The Case of Ricemilling Firms in Thailand. British Food Journal, [e-journal] 116(2), pp.272-291. DOI: 10.1108/BFJ-01-2012-0003.
Rothaermel, F.T. and Deeds, D.L., 2001. More Good Things Are Not Necessarily Better: An Empirical Study Of Strategic Alliances, Experience Effects, And Innovative Output In High-Technology Start-Ups. Acedemy of Management, [e-journal] 2001(1), pp. 85-103. DOI: 10.5465/apbpp.2001.6133869.
Rothaermel, F.T., 2015. Strategic Management. Second Edition. New York: McGraw-Hill Education.
Sankaran, A.K., Kumar, S. and Das, M., 2020. An endogenous growth approach on the role of energy, human capital, finance and technology in explaining manufacturing value-added: A multi-country analysis. Heliyon, [e-journal] 6(7), e04308. DOI: 10.1016/j.heliyon.2020.e04308.
Spanos, Y.E. and Spyros, L., 2001. An Examination Into The Causal Logic of Rent Generation: Contrasting Porter’s Competitive Strategy Framework and The Resource-Based Perspective. Strategic Management Journal, [e-journal] 22(10), pp.907-934. DOI: 10.1002/smj.174.
Suoth, O., 2017. Desain Jaringan Supply Chain Komoditas Beras Di Desa Karondoran Kecamatan Langowan Timur Kabupaten Minahasa. Jurnal Emba, [e-journal] 5(2), pp.511-519. DOI: 10.35794/emba.5.2.2017.15716.
Teece, D.J., Pisano, G. and Shuen, A., 1997. Dynamic Capabilities and Strategic Management. Strategic Management Journal, [e-journal] 18(7), pp.509-533. DOI: 10.1002/(SICI)1097-0266(199708)18:7<509::AID-SMJ882>3.0.CO;2-Z.
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Copyright (c) 2021 T.S. Bahri, Dedi B. Hakim, Bambang Juanda, Sahara Sahara
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