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Assessing the Benefit of Adopting ERP Technology and Practicing Green Supply Chain Management toward Operational Performance: An Evidence from Indonesia

Author

Listed:
  • Ruben Wahyu Santoso

    (Master of Management Department, Petra Christian University, Surabaya 60236, Indonesia)

  • Hotlan Siagian

    (Master of Management Department, Petra Christian University, Surabaya 60236, Indonesia)

  • Zeplin Jiwa Husada Tarigan

    (Master of Management Department, Petra Christian University, Surabaya 60236, Indonesia)

  • Ferry Jie

    (School of Business and Law, Edith Cowan University, Joondalup, WA 6027, Australia)

Abstract

The recent concern on the environmental protection and COVID-19 issue is increasingly affecting the manufacturing industry. This research assessing the benefit of adopting ERP technology and practicing green supply chain management toward operational performance in manufacturing industry. The study is essential to provide insight for the manufacturing industry regarding the consequences and benefits of practicing the green supply chain and adopting ERP technology amid the current constraints of the environmental protection issue and the COVID-19 pandemic. The study has surveyed 122 companies domiciled in Indonesia. Data collection used a questionnaire designed with a seven-point Likert scale. Questionnaire created in Google form, printed and distributed using social media and postal mail. Data analysis used SmartPLS software version 3.0. The result revealed that ERP adoption enables green purchasing, production, distribution, and operational performance. Furthermore, operating performance is directly affected by green purchasing and green production. However, operating performance was not supported by green distribution. In addition, ERP adoption indirectly improves operational performance through green purchasing and green production. But ERP adoption did not affect operational performance through green distribution. This result provides essential insight for the manager in the manufacturing industry that adopting ERP in the era of the COVID-19 pandemic and practicing environmental protection such as green purchasing, green production enhances operational performance. In summary, the result of this study encourages the practitioner to adopt environmental protection in running their business since it benefits the company. While there are very few studies examining the relationship between ERP adoption, green supply chain practices, and operational performance, this study is essential in terms of exploring the mediating role of green supply chain practices on the effect of ERP adoption on operational performance. Thus, these research findings could enrich the current research in the supply chain management context.

Suggested Citation

  • Ruben Wahyu Santoso & Hotlan Siagian & Zeplin Jiwa Husada Tarigan & Ferry Jie, 2022. "Assessing the Benefit of Adopting ERP Technology and Practicing Green Supply Chain Management toward Operational Performance: An Evidence from Indonesia," Sustainability, MDPI, vol. 14(9), pages 1-21, April.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:9:p:4944-:d:798013
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    References listed on IDEAS

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    1. Zhu, Wenge & He, Yuanjie, 2017. "Green product design in supply chains under competition," European Journal of Operational Research, Elsevier, vol. 258(1), pages 165-180.
    2. Zeplin Jiwa Husada Tarigan & Hotlan Siagian & Ferry Jie, 2021. "Impact of Enhanced Enterprise Resource Planning (ERP) on Firm Performance through Green Supply Chain Management," Sustainability, MDPI, vol. 13(8), pages 1-20, April.
    3. Theodor Purcărea & Valeriu Ioan-Franc & Ştefan-Alexandru Ionescu & Ioan Matei Purcărea & Victor Lorin Purcărea & Irina Purcărea & Maria Cristina Mateescu-Soare & Otilia-Elena Platon & Anca-Olguța Orza, 2022. "Major Shifts in Sustainable Consumer Behavior in Romania and Retailers’ Priorities in Agilely Adapting to It," Sustainability, MDPI, vol. 14(3), pages 1-51, January.
    4. Xin Yao & Yuanyuan Cheng & Li Zhou & Malin Song, 2022. "Green efficiency performance analysis of the logistics industry in China: based on a kind of machine learning methods," Annals of Operations Research, Springer, vol. 308(1), pages 727-752, January.
    5. Rok Lee, 2021. "The Effect of Supply Chain Management Strategy on Operational and Financial Performance," Sustainability, MDPI, vol. 13(9), pages 1-18, May.
    6. Evangelia Sdrolia & Grigoris Zarotiadis, 2019. "A Comprehensive Review For Green Product Term: From Definition To Evaluation," Journal of Economic Surveys, Wiley Blackwell, vol. 33(1), pages 150-178, February.
    7. Wael Hassan El-Garaihy & Usama A. Badawi & Walid A. S. Seddik & M. Sh. Torky, 2022. "Investigating Performance Outcomes under Institutional Pressures and Environmental Orientation Motivated Green Supply Chain Management Practices," Sustainability, MDPI, vol. 14(3), pages 1-23, January.
    8. Yu, Kangkang & Cadeaux, Jack & Luo, Ben Nanfeng, 2015. "Operational flexibility: Review and meta-analysis," International Journal of Production Economics, Elsevier, vol. 169(C), pages 190-202.
    9. Zeplin Jiwa Husada Tarigan & Hotlan Siagian & Ferry Jie, 2020. "The Role of Top Management Commitment to Enhancing the Competitive Advantage Through ERP Integration and Purchasing Strategy," International Journal of Enterprise Information Systems (IJEIS), IGI Global, vol. 16(1), pages 53-68, January.
    10. Govindan, Kannan & Kaliyan, Mathiyazhagan & Kannan, Devika & Haq, A.N., 2014. "Barriers analysis for green supply chain management implementation in Indian industries using analytic hierarchy process," International Journal of Production Economics, Elsevier, vol. 147(PB), pages 555-568.
    11. Shaorui Li & Vaidyanathan Jayaraman & Antony Paulraj & Kuo-chung Shang, 2016. "Proactive environmental strategies and performance: role of green supply chain processes and green product design in the Chinese high-tech industry," International Journal of Production Research, Taylor & Francis Journals, vol. 54(7), pages 2136-2151, April.
    12. Jörg Henseler & Marko Sarstedt, 2013. "Goodness-of-fit indices for partial least squares path modeling," Computational Statistics, Springer, vol. 28(2), pages 565-580, April.
    13. Tenenhaus, Michel & Vinzi, Vincenzo Esposito & Chatelin, Yves-Marie & Lauro, Carlo, 2005. "PLS path modeling," Computational Statistics & Data Analysis, Elsevier, vol. 48(1), pages 159-205, January.
    14. Rameshwar Dubey & Surajit Bag & Sadia Samar Ali & V.G. Venkatesh, 2013. "Green purchasing is key to superior performance: an empirical study," International Journal of Procurement Management, Inderscience Enterprises Ltd, vol. 6(2), pages 187-210.
    15. Lai, Kee-hung & Wong, Christina W.Y., 2012. "Green logistics management and performance: Some empirical evidence from Chinese manufacturing exporters," Omega, Elsevier, vol. 40(3), pages 267-282.
    16. Luísa Pinto, 2020. "Green supply chain practices and company performance in Portuguese manufacturing sector," Business Strategy and the Environment, Wiley Blackwell, vol. 29(5), pages 1832-1849, July.
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    Cited by:

    1. Nishant Saravanan & Jessica Olivares-Aguila & Alejandro Vital-Soto, 2022. "Bibliometric and Text Analytics Approaches to Review COVID-19 Impacts on Supply Chains," Sustainability, MDPI, vol. 14(23), pages 1-33, November.
    2. Mohamed Rafik Noor Mohamed Qureshi, 2022. "Evaluating Enterprise Resource Planning (ERP) Implementation for Sustainable Supply Chain Management," Sustainability, MDPI, vol. 14(22), pages 1-21, November.
    3. Mohamed Abdalla Nour, 2023. "The Impact of ERP Systems on Organizational Performance: The Role of Antecedents and Moderators," International Journal of Enterprise Information Systems (IJEIS), IGI Global, vol. 19(1), pages 1-29, January.
    4. Rita Parmawati & Fadli Mulyadi & Rosyani Rosyani & Suaedi Suaedi & Yunikewaty Yunikewaty, 2023. "The Role of Environmental Education and Green Supply Chain Practices in Achieving Sustainable Development: Evidence from Indonesia," International Journal of Energy Economics and Policy, Econjournals, vol. 13(1), pages 421-430, January.

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