ANALYSIS INFLUENCE RELATIONSHIP OF INTERNAL AND EXTERNAL ON STRATEGY AND SUSTAINABLE SUPPLY CHAINS MANAGEMENT ON OPERATIONAL PERFORMANCE OF FOOD AND BEVERAGES AGRO-INDUSTRIES

Dina Kartika Sari; Djoko Koestiono; Agustina Shinta

doi:10.21776/ub.agrise.2021.021.3.9

ANALYSIS INFLUENCE RELATIONSHIP OF INTERNAL AND EXTERNAL ON STRATEGY AND SUSTAINABLE SUPPLY CHAINS MANAGEMENT ON OPERATIONAL PERFORMANCE OF FOOD AND BEVERAGES AGRO-INDUSTRIES

Dina Kartika Sari, Djoko Koestiono, Agustina Shinta

AGRISE,Vol 21, No 3 (2021), 241-250

Viewed : 66 times

Abstract

This research examines the influence of the relationship between internal and external factors on operational performance, beforehand an effective strategy supply chain management is needed to improve operational performance as a core strategic competency for better competitive advantage but companies need to evaluate actions that have environmental impacts, it is necessary practice sustainable supply chain management in a business. SEM-PLS analysis to examine the effect of the relationship between internal and external factor using a sample of 100 food and beverage agro-industries in the Province of East Java. The results showed that internal and external factors have a positive and significant effect on supply chain management strategy while on operational performance, although the influence of internal factors cannot be direct and external factors have a direct influence on operational performance, the practice sustainable supply chain management also has a direct effect as a mediating variable, between supply chain strategy variables on operational performance. This research is not only to find the right strategy for the food and beverage agro-industries but also to develop research on the importance of sustainable supply chain management practices in the food and beverage agro-industries.

Keywords

Factor Internal; Factor External; Supply Chain Management; Operational Performance; Agro-industries

Full Text:

PDF

References

Abdillah, W., Hartono, J., & Prabantini, D. (2015). Partial Least Square (PLS) : alternatif Structural Equation Modeling (SEM) dalam penelitian bisnis. Penerbit Andi.

Badan Pusat Statistik. (2019). Keadaan Industry Menurut Kelompok Industry Besar Sedang di provinsi Jawa Timur. https://jatim.bps.go.id/statictable/2019/10/09/1666/keadaan-industri-menurut-kelompok-industri-besar-sedang-di-provinsi-jawa-timur-2018.html

Bank Dunia. (2011). Mengoptimalkan Pengelolaan Keuangan Daerah untuk Pertumbuhan yang Inklusif.

Dewanti dan Santoso. (2012). Penentuan Alternatif Lokasi Pengembangan Kawasan Agroindustri Berbasis Komoditas Pertanian Unggulan Di Kabupaten Lamongan. Jurnal Teknik ITS, 1(Vol 1, No 1 (2012): Jurnal Teknik ITS (ISSN 2301-9271)), C33–C37. http://ejurnal.its.ac.id/index.php/teknik/article/view/925

F. Hair Jr, J., Sarstedt, M., Hopkins, L., & G. Kuppelwieser, V. (2014). Partial least squares structural equation modeling (PLS-SEM). European Business Review, 26(2), 106–121. https://doi.org/10.1108/EBR-10-2013-0128

Hasan, M. (2017). Sustainable Supply Chain Management Practices and Operational Performance. January 2013. https://doi.org/10.4236/ajibm.2013.31006

Jermsittiparsert, K., & Rungsrisawat, S. (2019). The Supply Chain Management and Information Sharing As Antecedents of Operational Performance : August. https://doi.org/10.18510/hssr.2019.7258

Katadata, D. (2019). PDRB 34 Provinsi di Indonesia. https://databoks.katadata.co.id/datapublish/2019/07/31/inilah-pdrb-34-provinsi-di-indonesia-pada-2018

Kementrian Perindustrian. (2015). Rencana Strategis Direktorat Jendral Industri Agro 2015-2019.

Masri Singarimbun, S. E. (2011). Metode Penelitian Survei. LP3ES.

Plano Clark, V. L., Anderson, N., Wertz, J. A., Zhou, Y., Schumacher, K., & Miaskowski, C. (2015). Conceptualizing Longitudinal Mixed Methods Designs: A Methodological Review of Health Sciences Research. Journal of Mixed Methods Research, 9(4), 297–319. https://doi.org/10.1177/1558689814543563

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

Qi, Y., Huo, B., Wang, Z., & Yeung, H. Y. J. (2017). The impact of operations and supply chain strategies on integration and performance. International Journal of Production Economics, 185(December 2015), 162–174. https://doi.org/10.1016/j.ijpe.2016.12.028

Qrunfleh, S., & Tarafdar, M. (2013). Lean and agile supply chain strategies and supply chain responsiveness: The role of strategic supplier partnership and postponement. Supply Chain Management: An International Journal, 18(6), 571–582. https://doi.org/10.1108/SCM-01-2013-0015

Kriyanto, R. (2006). Teknik Praktis Riset Komunikasi. kencana. Prenada Media Group.

Ralston, P. M., Blackhurst, J., Cantor, D. E., & Crum, M. R. (2015). A Structure-conduct-performance perspective of how strategic supply chain integration affects firm performance. Journal of Supply Chain Management, 51(2), 47–64. https://doi.org/10.1111/jscm.12064

Solimun, Achmad Rinaldo Fernandes Adji, and N. (2017). Metode Statistika Multivariat Pemodelan Persamaan Struktural (SEM). UB Press.

Sugiyono. (2005). Metode Penelitian Bisnis. CV Alfabeta.

Sujono, S., Rahardjo, K., & Utami, H. N. (2013). The Influence of Internal Drivers and Environmental Drivers towards Supply Chain Management ( SCM ) Strategy , SCM Practices , Responsiveness and Implication on the Operational Performance of Organic Fertilizer Manufacturers in East Java , Indonesia. 3(12), 40–53.

Wang, J., Zhang, Y., & Goh, M. (2018). Moderating the role of firm size in sustainable performance improvement through sustainable supply chain management. Sustainability (Switzerland), 10(5). https://doi.org/10.3390/su10051654

Zuhdi, Z., Suharjo, B., & Sumarno, H. (2016). Perbandingan Pendugaan Parameter Koefisien Struktural Model Melalui Sem Dan Pls-Sem. Journal of Mathematics and Its Applications, 15(2), 11. https://doi.org/10.29244/jmap.15.2.11-22

DOI: https://doi.org/10.21776/ub.agrise.2021.021.3.9