The analysis of dynamic supply chain capability and operational performance of food and beverage MSMEs in Sleman, Indonesia
Yuli Liestyana ORCID ↗ · Tri Wahyuningsih · Atriken Natasha · Yekti Utami · Hadi Oetomo · Tugiyo Tugiyo
International Journal of Business Ecosystem & Strategy · 2024 · Vol. 6 / Issue 2 · 13-24
Publication metrics
External links open provider records or DOI searches. Provider counts are not combined. Mendeley readership measures saves, not citations.
Dimensions
Live provider badge. If unavailable, use the Dimensions link above.
Observed 21 Oct 2026, 00:14 UTC
Observed 21 Oct 2026 00:14 UTC
OpenAlex and Mendeley observations refresh on article visits, at most once per 24 hours. Unavailable data is not zero. Google Scholar opens a DOI search.
Citations received by this article, grouped by the year of the citing work. Crossref and OpenAlex lifetime totals remain separate in Publication metrics.
2017–2026 Annual history last updated:
Citations received
OpenAlex · year of the citing work
Hover over a year or focus the chart and use arrow keys to inspect values.
2017–2026 annual-history window. 2026 is year to date. Unknown years have gaps.
View data & coverage
2026 is incomplete. Within a successfully fetched ten-year window, omitted years mean zero. Years beyond a saved observation’s window remain unknown (—). Older citations are excluded, so this chart’s sum may differ from the OpenAlex lifetime total. The date above belongs to this annual history; an unsuccessful refresh keeps the previous observation.
Abstract
Dynamic capabilities in the supply chain play an essential role in improving an organization's operational performance. This research aims to see the influence of supply chain dynamic capabilities, including collaboration, integration, agility, and responsive capabilities, on the operational performance of food and beverage MSMEs in Sleman, Indonesia. The sample of this study is food and beverage MSMEs located in Sleman, Indonesia, which apply supply chain management capabilities such as collaboration, integration, agility, and responsive capabilities. The MSMEs must have been operated for more than three years, starting from 2019, so MSMEs already have a more robust supply chain network. Data from sixty food and beverage MSMEs was collected in 2024 using a set of questionnaires tested for validity using Pearson’s correlation and reliability using Cronbach’s Alpha. Data processing in this research uses SPSS 25 software with an analysis tool, namely multiple regression analysis. This analysis helps prove whether or not there is an influence between two or more independent variables on the dependent variable. The results of this research show that collaboration capabilities, integration capabilities, agility capabilities, and responsive capabilities partially have a significant positive effect on operational performance. Increasing collaboration capabilities between MSMEs and internal and external parties must be maintained to improve value from the MSMEs themselves. According to the hypothesis test results, the integration capability variable significantly influences the operational performance of MSMEs in Sleman, Indonesia. The agility capability variable significantly influences the operational performance of MSMEs in Sleman, Indonesia. The responsiveness significantly influences the operational performance of MSMEs in Sleman, Indonesia.
Keywords: {'name': 'Agility Capabilities'}, {'name': 'Collaboration Capabilities'}, {'name': 'Integration Capabilities'}, {'name': 'Operational Performance'}, {'name': 'Response Capabilities'}
Authors & affiliations
Yuli Liestyana
Affiliation not supplied
Tri Wahyuningsih
Affiliation not supplied
Atriken Natasha
Affiliation not supplied
Yekti Utami
Affiliation not supplied
Hadi Oetomo
Affiliation not supplied
Tugiyo Tugiyo
Affiliation not supplied
Deposited references
Supplied references, not a list of publications citing this article.
DOI: 10.1016/j.ijinfomgt.2008.09.001
DOI: 10.1108/09576059310045907
DOI: 10.1002/bse.2448
DOI: 10.1007/978-3-642-19257-9_3
DOI: 10.1108/IJOPM-09-2017-0555
DOI: 10.1080/00207543.2012.728011
Bowersox, D. J., Closs, D. J., & Cooper, M. B. (2002). Supply Chain Logistics. McGraw Hill.
DOI: 10.1108/09600030610661796
DOI: 10.1016/j.jom.2008.09.006
DOI: 10.1016/j.jom.2010.12.008
DOI: 10.1016/j.ejor.2016.11.006
DOI: 10.1002/j.2158-1592.2009.tb00099.x
Chopra, Sunil & Meindl, P. (2016). Supply Chain Management: Strategy, Planning & Operations, 6th Edition. Pearson Prentice, USA.
DOI: 10.12962/j23373539.v7i1.28641
Dinas Koperasi, Usaha Kecil dan Menengah Kabupaten Sleman. (2023). Data Rekap UMKM Kabupaten Sleman Berdasarkan Sektor Usaha Tiap Kapanewon.
DOI: 10.1108/IJOPM-04-2016-0173
DOI: 10.1108/IJOPM-12-2012-0546
DOI: 10.28932/jmm.v22i1.5502
DOI: 10.1016/j.jom.2009.06.001
DOI: 10.1016/S0272-6963(00)00055-3
Ghozali, Imam. (2018). Aplikasi Analisis Multivariate dengan Program IBM SPSS 25. Badan Penerbit Universitas Diponegoro: Semarang
DOI: 10.1111/jbl.12003
DOI: 10.1016/j.respol.2018.01.019
DOI: 10.1108/01443570510605063
DOI: 10.1016/j.ijpe.2019.01.036
DOI: 10.1017/jmo.2017.20
DOI: 10.1108/JKM-01-2018-0019
DOI: 10.1515/mper-2016-0031
DOI: 10.2478/orga-2020-0021
Kata data (2022) https://katadata.co.id/
DOI: 10.1108/01443570610691085
Kuncoro. (2013). Metode Riset untuk Bisnis dan Ekonomi. Jakarta: Erlangga, edisi 4.
DOI: 10.1016/j.im.2019.05.004
Narus, J. A., & Anderson, J. C. (1996). Rethinking Distribution: Adaptive Channels. Harvard Business Review, 74, 112–120.
DOI: 10.1007/s10799-018-0294-3
DOI: 10.1108/JEIM-08-2017-0114
DOI: 10.1108/IJOPM-03-2014-0129
Pujawan, I Nyoman dan Mahendrawathi ER. (2010). Supply Chain Management. Edisi 2. Surabaya: Guna Widya.
Russell, R.S. & Taylor, B.W. (2019). Operations and Supply Chain Management, 10th Edition, New York: John Wiley and Sons. https://www.wiley.com/en-us/Operations+and+Supply+Chain+Management%2C+10th+Edition-p-9781119577645
Said, A. I. (2006), Produktivitas dan Efisiensi dengan Supply Chain Management. Penerbit PPM, Jakarta.
Sanders, N. (2014). Big Data Driven Supply Chain Management: A Framework for Implementing Analytics and Turning Information Into Intelligence. Pearson Financial Times.
DOI: 10.1016/j.jom.2011.09.001
Sekaran, U., Bougie, R. (2016). Research Methods for Business: A skill-building Approach, (7th). Chichester: John Wiley & Sons. Inc. https://www.wiley.com/en-us/Research+Methods+For+Business:+A+Skill+Building+Approach,+7th+Edition-p-9781119266846
DOI: 10.1016/j.ijpe.2019.07.011
DOI: 10.1108/IJOEM-04-2020-0418
DOI: 10.1108/09574090510634548
DOI: 10.1080/21681015.2014.999723
DOI: 10.1108/13598540810860994
DOI: 10.1002/j.2158-1592.2001.tb00158.x
Sugiyono. (2018). Metode Penelitian Kuantitatif. Bandung: Alfabeta.
DOI: 10.1016/j.ijpe.2008.07.008
Teece. (2014). Fondasi Kinerja Perusahaan: Kemampuan Dinamis Dan Biasa Dalam Teori (ekonomi) Perusahaan. Perspektif Akademi Manajemen, 28(4), 328-352.
Tyagi. (2014). Supply chain integration and logistics management among BRICS: a literature review. American Journal of Engineering Research (AJER) e-ISSN
DOI: 10.1108/13598541011080446
DOI: 10.1016/j.jom.2013.09.003
World Economic Forum. (2023). Top 10 emerging technologies of 2023. Flagship report. June, 1–36.
DOI: 10.1016/j.indmarman.2005.05.003
DOI: 10.1108/IJOPM-07-2018-0395
DOI: 10.1108/IJIS-05-2017-0039