Improvement of Green Procurement Performance in the Global Supply Chain: Evidence from Enterprise Resource Planning and Social Network Analysis
DOI:
https://doi.org/10.15282/ijim.10.1.2021.6053Keywords:
Supply Chain Performance, Root cause analysis, Enterprise Resource Planning, Social network analysisAbstract
The purpose of this paper is to present a plan on how to improve the operational efficiency of the company during the Covid-19 period. Previous research has been reviewed in order to gain further knowledge of the problem; primarily on the operational performance, as well as on the supply chain management of the company. The results have shown that, on the basis of a social network analysis, the Procurement Engineer is the most influential individual in the management of information within the organization, where the Procurement Engineer is also the employee who has a strong link with the transfer of data to top management, the Ishikawa diagram indicates that the present environment is the primary cause of the company's problems in finding products, while the Tree diagram shows the only approach to the issue of insufficient employees is by supplying training for new or existing workers or by assigning staff from another department to serve permanently in a department where there is a lack of staff. In addition, the Enterprise Resource Planning (ERP) framework will strengthen the green supply chain management of the business as it will help to reduce the loss of time waiting for or processing the company's materials, thereby reducing the cost as well. This research offers proof of the pre-Covid 19 and post-Covid 19 impacts on green supply chain operational performance.
References
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Voon.Z.Y.,(2020) “Struggle of Malaysian SME’s During The Covid-19 Pandemic”. Strategie Institute for Asia Pacific
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Paulraj, A., Chen, I. J., & Blome, C. (2017). Motives and performance outcomes of sustainable supply chain management practices: A multi-theoretical perspective. Journal of Business Ethics, 145(2),239-258.
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Alzoubi.H.M.,& Yanamandra.R.,(2020). “Investigating the mediating role of information sharing strategy on agile supply chain”.Uncertain Supply Chain Management.8 (2020). 273–284
Fang, C., Zhang, J., 2018. Performance of green supply chain management: a systematic review and meta analysis. J. Clean. Prod. 183, 1064–1081.
Kumar.G.,Subramaniam.N.,&Arputham.R.M.,(2018). “Missing link between sustainability collaborative strategy and supply chain performance: Role of dynamic capability”.International Journal of Production Economics,203 (2018), 96–109
Brick, I.E., Fung, W.K.,(1984). The effect of taxes on the trade credit decision. Financ.Manag. 13, 24–30.
Dye, C.-Y., Yang, C.-T.,( 2015). Sustainable trade credit and replenishment decisions with credit-linked demand under carbon emission constraints. Eur. J. Oper. Res. 244,187–200.
Gong, Y., Jia, F., Brown, S., Koh, L.,(2018). Supply chain learning of sustainability in multitier supply chains: a resource orchestration perspective. Int. J. Oper. Prod. Manag. 38,1061–1090.
Caniato, F., Gelsomino, L.M., Perego, A., Ronchi, S.,( 2016). Does finance solve the supply chain financing problem? Supply Chain Manag.: Int. J. 21, 534–549.
Wang.Z.Q.,Wang.Q.,Lain.Y.,& Liang C.J.,(2020). “Drivers and outcomes of supply chain finance adoption: An empirical investigation in China". International Journal of Production Economics 220 (2020) 107453
Centobelli, P., Cerchione, R., Esposito, E.,(2017). Developing the WH2 framework for environmental sustainability in logistics service providers: a taxonomy of green initiatives. J. Clean. Prod. 165, 1063–1077.
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Javaid.T.,& Siddiqui.D.A.,(2018). “Supply Chain Responsiveness and Supply Chain Performance: The Role of Supply Chain Risk Management”. SSRN: 3285077. https://ssrn.com/abstract=3285077
Jiang, W., Sha, E. H.-M., Zhuge, Q., & Wu, L. (2017). Efficient assignment algorithms to,minimize operation cost for supply chain networks in agile manufacturing. Computers& Industrial Engineering, 108, 225–239. https://doi.org/10.1016/j.cie.2017.04.014.
Ramezankhani.M.J., Torabi.S.A., & Vahidi.F.,(2018). “Supply chain performance measurement and evaluation: A mixed sustainability and resilience approach". Computers & Industrial Engineering 126 (2018) 531–548
Upton, D.M. (1994).The management of manufacturing flexibility.California Management Review, 36(2), 72-89.
Muntaka.S.A., Haruna.A.,Mensah.K.H., (2017). “ Supply Chain Integration and Flexibility and Its Impact on Business Performance”.International Journal of Business and Management. 12(4). ISSN 1833-3850. E-ISSN 1833-8119
Adivar B, Hüseyinoğlu IÖY, Christopher M. A quantitative performance management framework for assessing omnichannel retail supply chains. J Retail Consum Serv 2019;48:257–69. doi:10.1016/J.JRETCONSER.2019.02.024.
Farsi.M., Bailly.A.,Bodin., Penella.V.,Pinault.L.P.,Ngia E.T.T.,Sibson.J., & Erkoyuncu.J.A., (2019). “An Optimisation Framework for Improving Supply Chain Performance: Case study of a bespoke service provider”.Procedia Manufacturing,49 (2020), 185–192.
Choi.T.M., & Guo.S.,(2017). “Responsive supply in fashion mass customisation systems with consumer returns”. International Journal of Production Research; 56(10). 3409-3422. https://doi.org/10.1080/00207543.2017.1292065
Kozienkova, I., Palmatier, R.W., Fang, E., Xiao, B. and Huang, M. (2017), “Online relationship formation”, Journal of Marketing, 81(3), 21-40.
Kregar, T. and Antoncic, B. (2016), “The relationship between the entrepreneur’s personal network multiplexity and firm growth”, The Economic Research-Ekonomska Istrazivanja,29 (1),1126-1135.
Scuotto, V., Del Giudice, M., Bresciani, S. and Meissner, D. (2017), “Knowledge-driven preferences in informal inbound open innovation modes. An explorative view on small to medium enterprises”, Journal of Knowledge Management, 21( 3),640-655.
Akintoye, A. (2015). Developing Theoretical and Conceptual Frameworks. Jedm.oauife.edu.ng>uploads>2017/03/07 (accessed 2017 February 22)
Ravitch, S. M. & Carl, N. M. (2016). Qualitative Research: Bridging the Conceptual,Theoretical and Methodological. Los Angeles, U.S.A.: SAGE Publications, Inc.
Crossley, N., & Edwards, G. (2016). Cases, mechanisms and the real: The theory and methodology of mixed-method social network analysis. Sociological Research Online, 21(2),1–15. https://doi.org/10.5153/sro.3920
Hollstein, B. (2014). Mixed methods social networks research: An introduction. In S.Domínguez & B. Hollstein (Eds.), Mixed methods social networks research: Design and applications (pp. 3–34). Cambridge University Press.
Moolenaar, N. M. (2012). A social network perspective on teacher collaboration in schools: Theory, methodology, and applications. American Journal of Education, 119(1), 7–39. https://doi.org/10.1086/667715
Sweet, T. M. (2016). Social network methods for the educational and psychological sciences. Educational Psychologist, 51(3–4), 381–394. https://doi.org/10.1080/00461520.2016.1208093
Froehlich.D.E.,Waes.S.V.,& Schafer.H.,(2020).“ Linking Quantitative and Qualitative Network Approaches: A Review of Mixed Methods Social Network Analysis in Education Research".44.244-268.DOI: 10.3102/0091732X20903311
Partelow.S., Nelson.K.,(2020). “Social networks, collective action and the evolution of governance for sustainable tourism on the Gili Islands, Indonesia”. Marine Policy 112 (2020) 103220. https://doi.org/10.1016/j.marpol.2018.08.004
Li, K., F. Mai, R. Shen, and X. Yan, 2020. Measuring corporate culture using machine learning, Review of Financial Studies forthcoming
De Nooy, W.; Mrvar, A.; Batagelj, V. Exploratory Social Network Analysis with Pajek; Cambridge University Press: Cambridge, UK, 2018.
Loon.L.K.,Nawanir.G.,Bakar. Z.A.,Hanaysha.J., (2019) “Strengthening Supply Chain Operational Performance through Relational and Organizational Culture Capabilities”. Int. J Sup. Chain. Mgt. 8(4).90-98
Saudi M.H.M., Juniati S., Kozicka K., Razimi M.S.A., (2019). “Influence of lean practices on supply chain performance”. Polish journal of management studies. 19(1). 353-363. DOI: 10.17512/pjms.2019.19.1.27
Heizer, J., & Render. B., (2013). “Principles of Operations Management”. Pearson Education, Limited. Retrieved from https://books.google.com.my/books?id=LBqUmAEACAAJ
Kwarteng, A., & Aveh, F. (2018). “Empirical examination of organizational culture on accounting information system and corporate performance: Evidence from a developing country perspective”. Meditari Accountancy Research,26(4), 675-698.
Truong.H.Q.,Sameiro M.,& Fernandes A. C.,(2017).“Supply chain management practices and firms’ operational performance,”International Journal of Quality & Reliability Management,34(2), 176–193.
Modgil.S.,& Sharma.S.,(2016).“Total productive maintenance, total quality management and operational performance,” Journal of Quality in Maintenance Engineering, 22(4),353–377.
Marodin.G.A.,(2019)“Lean production and operational performance in the Brazilian automotive supply chain,” Total Quality Management & Business Excellence,30(3-4), 370–385.
Camacho.D.,Lledot.A.P.,Orgaz.G.B., & Pardo.A.G.,(2020). “The four dimensions of social network analysis: an overview of research method, applications, and software tools”. Information Fusion, (63), 88-120. www.elsevier.com/locate/inffus
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Published
2021-03-05
How to Cite
Shaharudin, M. S., Suhaimi, S., Fernando, Y., Wan Husain, W. A. F., & Suparman, . (2021). Improvement of Green Procurement Performance in the Global Supply Chain: Evidence from Enterprise Resource Planning and Social Network Analysis. International Journal of Industrial Management, 10(1), 173–194. https://doi.org/10.15282/ijim.10.1.2021.6053
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Vol 10 2021
