Supply Chain Sustainability Through Green Practices in Manufacturing: A Case Study from Pakistan

Supply Chain Sustainability

https://doi.org/10.57044/SAJOL.2022.1.1.2205

Authors

  • Tahir Rasheed

Keywords:

Green supply chain, Social values, Ethics, Quantitative, Sustainability, Supply chain sustainability

Abstract

The study aimed to determine the effect of green warehousing, logistics optimizations, social values & ethics, and supply chain risk on supply chain sustainability leading to the economic performance of manufacturing firms in Pakistan. The natural resource-based view (NRBV) theory has been used to understand the phenomenon from a general perspective. Data was collected from 213 supply chain professionals through the purposive sampling technique. PLS-SEM approach has been used for data analysis using Smart PLS (version 3.2.9) and estimated measurement and structural model. Results showed that green warehousing, social values & ethics, and supply chain risk significantly positively affect supply chain sustainability. However, logistics optimization has a positive but statistically insignificant effect on supply chain sustainability. Managers should foster good investor views about the green management system. Managers should also support the use of a green management system, which may boost financial and non-financial performance, making the firm more competitive and increasing corporate value in various ways. Managers could gain a more holistic view of supply chain risk by understanding mature and emerging themes in the field, as well as tools into the scope of supply chain risk, and the significant growth in sustainable supply chain management reflects the need for new business models that are particularly focused on social and environmental issues.

References

Abushaikha, I. (2018). The influence of logistics clustering on distribution capabilities: a qualitative study. International Journal of Retail & Distribution Management, 46(6), 577–594. https://doi.org/10.1108/ijrdm-01-2018-0018

Agha, A. A., Rashid, A., Rasheed, R., Khan, S., & Khan, U. (2021). Antecedents of Customer Loyalty at Telecomm Sector. Turkish Online Journal of Qualitative Inquiry, 12(9), 1352-1374.

Agyabeng-Mensah, Y., Ahenkorah, E. N. K., & Osei, E. (2019). Impact of Logistics Information Technology on Organisational Performance: Mediating Role of Supply Chain Integration and Customer Satisfaction. Journal of Supply Chain Management Systems, 8(4), 30-43.

Agyabeng-Mensah, Yaw, Afum, E., Agnikpe, C., Cai, J., Ahenkorah, E., & Dacosta, E. (2020). Exploring the mediating influences of total quality management and just in time between green supply chain practices and performance. Journal of Manufacturing Technology Management, 32(1), 156–175. https://doi.org/10.1108/jmtm-03-2020-0086

Agyabeng-Mensah, Yaw, Ahenkorah, E., Afum, E., & Owusu, D. (2020). The influence of lean management and environmental practices on relative competitive quality advantage and performance. Journal of Manufacturing Technology Management, 31(7), 1351–1372. https://doi.org/10.1108/jmtm-12-2019-0443

Agyabeng-Mensah, Yaw, Ahenkorah, E., Afum, E., Dacosta, E., & Tian, Z. (2020). Green warehousing, logistics optimization, social values and ethics and economic performance: the role of supply chain sustainability. International Journal of Logistics Management, 31(3), 549–574. https://doi.org/10.1108/ijlm-10-2019-0275

Ali, Y., Saad, T. B., Sabir, M., Muhammad, N., Salman, A., & Zeb, K. (2020). Integration of green supply chain management practices in construction supply chain of CPEC. Management of Environmental Quality, 31(1), 185–200. https://doi.org/10.1108/meq-12-2018-0211

Alrazehi, H. A. A. W., Amirah, N. A., Emam, A. S., & Hashmi, A. R. (2021). Proposed model for entrepreneurship, organizational culture and job satisfaction towards organizational performance in International Bank of Yemen. International Journal of Management and Human Science, 5(1), 1-9.

Amjad, S. (2022). Role of Logistical Practices in Quality Service Delivery at Supermarkets: A Case Study from Pakistan. South Asian Journal of Operations and Logistics, 1(1), 39-56. https://doi.org/10.57044/SAJOL.2022.1.1.2204

Anwar, M. F. A. (2022). The Influence of Inter-Organizational System Use and Supply Chain Capabilities on Supply Chain Performance. South Asian Journal of Operations and Logistics, 1(1), 20-38. https://doi.org/10.57044/SAJOL.2022.1.1.2203

Bai, C., & Sarkis, J. (2018). Integrating sustainability into supplier selection: A grey-based topsis analysis. Technological and Economic Development of Economy, 24(6), 2202–2224. https://doi.org/10.3846/tede.2018.5582

Bai, C., Kusi-Sarpong, S., Badri Ahmadi, H., & Sarkis, J. (2019). Social sustainable supplier evaluation and selection: a group decision-support approach. International Journal of Production Research, 57(22), 7046–7067. https://doi.org/10.1080/00207543.2019.1574042

Bai, Q., Chen, M., & Xu, L. (2017). Revenue and promotional cost-sharing contract versus two-part tariff contract in coordinating sustainable supply chain systems with deteriorating items. International Journal of Production Economics, 187, 85–101. https://doi.org/10.1016/j.ijpe.2017.02.012

Baker, M. J. (2003). Data collection-questionnaire design. The Marketing Review. 3, 343–370.

Baloch, N. & Rashid, A. (2022). Supply Chain Networks, Complexity, and Optimization in Developing Economies: A Systematic Literature Review and Meta-Analysis. South Asian Journal of Operations and Logistics, 1(1), 1-13. https://doi.org/10.57044/SAJOL.2022.1.1.2202

Barney, J. (1991). Firm resources and sustained competitive advantage. Journal of Management, 17(1), 99–120. https://doi.org/10.1177/014920639101700108

Berchicci, L., & King, A. (2007). 11 postcards from the edge: a review of the business and environment literature. Academy of Management Annals, 1(1), 513-547. https://doi.org/10.5465/078559816

Bonett, D. G., & Wright, T. A. (2015). Cronbach’s alpha reliability: Interval estimation, hypothesis testing, and sample size planning: Cronbach’s Alpha Reliability. Journal of Organizational Behavior, 36(1), 3–15. https://doi.org/10.1002/job.1960

Çankaya, S. Y., & Sezen, B. (2019). Effects of green supply chain management practices on sustainability performance. Journal of Manufacturing Technology Management, 30(1), 98-121. https://doi.org/10.1108/JMTM-03-2018-0099

Chowdhury, M. M. H., & Quaddus, M. A. (2021). Supply chain sustainability practices and governance for mitigating sustainability risk and improving market performance: A dynamic capability perspective. Journal of Cleaner Production, 278(1), 1-14. https://doi.org/10.1016/j.jclepro.2020.123521

Croom, S., Vidal, N., Spetic, W., Marshall, D., & McCarthy, L. (2018). Impact of social sustainability orientation and supply chain practices on operational performance. International Journal of Operations & Production Management, 38(12), 2344–2366. https://doi.org/10.1108/ijopm-03-2017-0180

Das, S., Ghani, M., Rashid, A., Rasheed, R., Manthar, S., & Ahmed, S. (2021). How customer satisfaction and loyalty can be affected by employee’s perceived emotional competence: The mediating role of rapport. International Journal of Management, 12(3), 1268-1277. DOI: 10.34218/IJM.12.3.2021.119.

Delmonico, D. V. D. G., & Bezerra, B. S. (2020). A systematic literature review on sustainable logistics. Latin American Journal of Management for Sustainable Development, 5(1), 47. https://doi.org/10.1504/lajmsd.2020.10027399

DeSimone, J. A., Harms, P. D., & DeSimone, A. J. (2015). Best practice recommendations for data screening: Data Screening. Journal of Organizational Behavior, 36(2), 171–181. https://doi.org/10.1002/job.1962

Dubey, R., Gunasekaran, A., Childe, S. J., Papadopoulos, T., Hazen, B., Giannakis, M., & Roubaud, D. (2017). Examining the effect of external pressures and organizational culture on shaping performance measurement systems (PMS) for sustainability benchmarking: Some empirical findings. International Journal of Production Economics, 193, 63–76. https://doi.org/10.1016/j.ijpe.2017.06.029

Fagundes, M. V. C., Teles, E. O., Vieira de Melo, S. A. B., & Freires, F. G. M. (2020). Decision-making models and support systems for supply chain risk: literature mapping and future research agenda. European Research on Management and Business Economics, 26(2), 63–70. https://doi.org/10.1016/j.iedeen.2020.02.001

Foo, P.-Y., Lee, V.-H., Tan, G. W.-H., & Ooi, K.-B. (2018). A gateway to realizing sustainability performance via green supply chain management practices: A PLS–ANN approach. Expert Systems with Applications, 107, 1–14. https://doi.org/10.1016/j.eswa.2018.04.013

Geisser, S. (1975). The predictive sample reuse method with applications. Journal of the American Statistical Association, 70(350), 320–328. https://doi.org/10.1080/01621459.1975.10479865

Golicic, S. L., & Smith, C. D. (2013). A meta-analysis of environmentally sustainable supply chain management practices and firm performance. Journal of Supply Chain Management, 49(2), 78–95. https://doi.org/10.1111/jscm.12006

Gouda, S. K., & Saranga, H. (2018). Sustainable supply chains for supply chain sustainability: impact of sustainability efforts on supply chain risk. International Journal of Production Research, 56(17), 5820-5835. https://doi.org/10.1080/00207543.2018.1456695

Govindan, K., Rajeev, A., Padhi, S. S., & Pati, R. K. (2020). Supply chain sustainability and performance of firms: A meta-analysis of the literature. Transportation Research Part E: Logistics and Transportation Review, 137(101923), 101923. https://doi.org/10.1016/j.tre.2020.101923

Gupta, H., & Barua, M. K. (2018). A grey DEMATEL-based approach for modeling enablers of green innovation in manufacturing organizations. Environmental Science and Pollution Research International, 25(10), 9556–9578. https://doi.org/10.1007/s11356-018-1261-6

Gupta, H., Kusi-Sarpong, S., & Rezaei, J. (2020). Barriers and overcoming strategies to supply chain sustainability innovation. Resources, Conservation, and Recycling, 161(104819), 104819. https://doi.org/10.1016/j.resconrec.2020.104819

Hair, Joe F., Ringle, C. M., & Sarstedt, M. (2011). PLS-SEM: Indeed a silver bullet. The Journal of Marketing Theory and Practice, 19(2), 139–152. https://doi.org/10.2753/mtp1069-6679190202

Hair, Joseph F., Jr, Ringle, C. M., & Sarstedt, M. (2013). Partial least squares structural equation modeling: Rigorous applications, better results and higher acceptance. Long Range Planning, 46(1–2), 1–12. https://doi.org/10.1016/j.lrp.2013.01.001

Hair, Joseph F., Risher, J. J., Sarstedt, M., & Ringle, C. M. (2019). When to use and how to report the results of PLS-SEM. European Business Review, 31(1), 2–24. https://doi.org/10.1108/ebr-11-2018-0203

Haque, I., Rashid, A., & Ahmed, S. Z. (2021). The Role of Automobile Sector in Global Business: Case of Pakistan. Pakistan Journal of International Affairs. 4(2), 363-383. https://doi.org/10.52337/pjia.v4i2.195

Hart, S. L. (1995). A natural-resource-based view of the firm. Academy of Management Review, 20(4), 986. https://doi.org/10.2307/258963

Hart, S. L., & Ahuja, G. (1996). Does it pay to be green? An empirical examination of the relationship between emission reduction and firm performance. Business Strategy and the Environment, 5(1), 30-37. https://doi.org/10.1002/(SICI)1099-0836(199603)5:1<30::AID-BSE38>3.0.CO;2-Q

Hart, S. L., & Dowell, G. (2011). Invited editorial: A natural-resource-based view of the firm: Fifteen years after. Journal of Management, 37(5), 1464-1479. https://doi.org/10.1177/0149206310390219

Hashmi, A. R., & Mohd, A. T. (2020). The effect of disruptive factors on inventory control as a mediator and organizational performance in Health Department of Punjab, Pakistan. International Journal of Sustainable Development & World Policy, 9(2), 122-134. https://doi.org/10.18488/journal.26.2020.92.122.134

Hashmi, A. R., Amirah, N. A., & Yusof, Y. (2020a). Organizational performance with disruptive factors and inventory control as a mediator in public healthcare of Punjab, Pakistan. Management Science Letters, 11(1), 77-86. https://doi.org/10.5267/j.msl.2020.8.028

Hashmi, A. R., Amirah, N. A., & Yusof, Y. (2020b). Mediating effect of integrated systems on the relationship between supply chain management practices and public healthcare performance: Structural Equation Modeling. International Journal of Management and Sustainability, 9(3), 148-160. https://doi.org/10.18488/journal.11.2020.93.148.160

Hashmi, A. R., Amirah, N. A., Yusof, Y., & Zaliha, T. N. (2020). Exploring the dimensions using exploratory factor analysis of disruptive factors and inventory control. The Economics and Finance Letters, 7(2), 247-254. https://doi.org/10.18488/journal.29.2020.72.247.254

Hashmi, A. R., Amirah, N. A., Yusof, Y., & Zaliha, T. N. (2021). Mediation of inventory control practices in proficiency and organizational performance: State-funded hospital perspective. Uncertain Supply Chain Management. 9(1), 89-98. https://doi.org/10.5267/j.uscm.2020.11.006

Henseler, J., Ringle, C. M., & Sarstedt, M. (2015). A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the Academy of Marketing Science, 43(1), 115–135. https://doi.org/10.1007/s11747-014-0403-8

Hishan, S. S., Khan, A., Ahmad, J., Hassan, Z. B., Zaman, K., & Qureshi, M. I. (2019). Access to clean technologies, energy, finance, and food: environmental sustainability agenda and its implications on Sub-Saharan African countries. Environmental Science and Pollution Research, 26(16), 16503-16518. https://doi.org/10.1007/s11356-019-05056-7

Hunaid, M., Bhurgri, A. A., & Shaikh, A. (2022). Supply Chain Visibility in Leading Organizations of the Shipping Industry. South Asian Journal of Social Review, 1(1), 8-20. https://doi.org/10.57044/SAJSR.2022.1.1.2202

Khan, S. A., Kusi-Sarpong, S., Arhin, F. K., & Kusi-Sarpong, H. (2018). Supplier sustainability performance evaluation and selection: A framework and methodology. Journal of Cleaner Production, 205, 964–979. https://doi.org/10.1016/j.jclepro.2018.09.144

Khan, S. K., Ahmed, S., & Rashid, A. (2021). Influence of social media on purchase intention and customer loyalty of generation Y with the mediating effect of conviction: a case of Pakistan. Pakistan Journal of International Affairs. 4(2), 526-548. https://doi.org/10.52337/pjia.v4i2.207

Khan, S., Benhamed, A., Rashid, A., Rasheed, R., & Huma, Z. (2022). Effect of leadership styles on employees’ performance by considering psychological capital as mediator: evidence from airlines industry in emerging economy. World Journal of Entrepreneurship, Management and Sustainable Development, 18(8). https://wasdlibrary.org/publications/journals/wjemsd/

Khan, S., Rasheed., R., & Rashid, A., Abbas, Q., & Mahboob, F. (2022). The Effect of Demographic Characteristics on Job Performance: An Empirical Study from Pakistan. Journal of Asian Finance, Economics and Business, 9(2), 283-294. https://doi.org/10.13106/jafeb.2022.vol9.no2.0283

Khan, S., Rashid, A., Rasheed, R., & Amirah, N. A. (2022). Designing a knowledge-based system (KBS) to study consumer purchase intention: the impact of digital influencers in Pakistan. Kybernetes, 51(1). https://doi.org/10.1108/K-06-2021-0497

Krejcie, R. V., & Morgan, D. W. (1970). Determining sample size for research activities. Educational and Psychological Measurement, 30(3), 607–610. https://doi.org/10.1177/001316447003000308

Kumar, A., & Dixit, G. (2018). An analysis of barriers affecting the implementation of e-waste management practices in India: A novel ISM-DEMATEL approach. Sustainable Production and Consumption, 14, 36–52. https://doi.org/10.1016/j.spc.2018.01.002

Kusi-Sarpong, S., Gupta, H., & Sarkis, J. (2019). A supply chain sustainability innovation framework and evaluation methodology. International Journal of Production Research, 57(7), 1990–2008. https://doi.org/10.1080/00207543.2018.1518607

Le, T. T. (2020). The effect of green supply chain management practices on sustainability performance in Vietnamese construction materials manufacturing enterprises. Uncertain Supply Chain Management, 8(1), 43–54. https://doi.org/10.5267/j.uscm.2019.8.007

Mangla, S. K., Kusi-Sarpong, S., Luthra, S., Bai, C., Jakhar, S. K., & Khan, S. A. (2020). Operational excellence for improving sustainable supply chain performance. Resources, Conservation, and Recycling, 162(105025), 105025. https://doi.org/10.1016/j.resconrec.2020.105025

Mosteanu, N. R., Faccia, A., Ansari, A., Shamout, M. D., & Capitanio, F. (2020). Sustainability Integration in Supply Chain Management through Systematic Literature Review. Calitatea, 21(176), 117-123.

Pinheiro, J. C., Dossou, P. E., & Junior, J. C. (2019). Methods and concepts for elaborating a decision aided tool for optimizing healthcare medicines dispatching flows. Procedia Manufacturing, 38, 209–216. https://doi.org/10.1016/j.promfg.2020.01.028

Ranganathan, P., Pramesh, C. S., & Aggarwal, R. (2017). Common pitfalls in statistical analysis: Logistic regression. Perspectives in Clinical Research, 8(3), 148–151. https://doi.org/10.4103/picr.PICR_87_17

Rashid, A. & Rasheed, R. (2022). A Paradigm for Measuring Sustainable Performance Through Big Data Analytics-Artificial Intelligence in Manufacturing Firms. Available at SSRN 4087758. https://doi.org/10.2139/ssrn.4087758

Rashid, A. (2016). Impact of inventory management in downstream chains on customer satisfaction at manufacturing firms. International Journal of Management, IT and Engineering, 6(6), 1-19.

Rashid, A., & Amirah, N. A. (2017). Relationship between poor documentation and efficient inventory control at Provincial Ministry of Health, Lahore. American Journal of Innovative Research and Applied Sciences, 5(6), 420-423.

Rashid, A., Amirah, N. A., & Yusof, Y. (2019). Statistical approach in exploring factors of documentation process and hospital performance: a preliminary study. American Journal of Innovative Research and Applied Sciences, 9(4), 306-310.

Rashid, A., Amirah, N. A., Yusof, Y., & Mohd, A. T. (2020a). Analysis of demographic factors on perceptions of inventory managers towards healthcare performance. The Economics and Finance Letters, 7(2), 289-294. https://doi.org/10.18488/journal.29.2020.72.289.294

Rashid, A., Amirah, N. A., Yusof, Y., & Mohd, A. T. (2020b). Analysis of demographic factors on Rashid, A., Amirah, N. A., & Yusof, Y. (2019). Statistical approach in exploring factors of documentation process and hospital performance: a preliminary study. American Journal of Innovative Research and Applied Sciences, 9(4), 306-310.

Rashid, A., Rasheed, R., Amirah, N. A., Yusof, Y., Khan, S., & Agha, A., A. (2021). A Quantitative Perspective of Systematic Research: Easy and Step-by-Step Initial Guidelines. Turkish Online Journal of Qualitative Inquiry, 12(9), 2874-2883.

Raza, J., Liu, Y., Zhang, J., Zhu, N., Hassan, Z., Gul, H., & Hussain, S. (2021). Sustainable supply management practices and sustainability performance: The dynamic capability perspective. SAGE Open, 11(1), 215824402110000. https://doi.org/10.1177/21582440211000046

Shafiq, A., Johnson, P. F., Klassen, R. D., & Awaysheh, A. (2017). Exploring the implications of supply risk on sustainability performance. International Journal of Operations & Production Management, 37(10), 1386–1407. https://doi.org/10.1108/ijopm-01-2016-0029

Shaheen, S. (2022). Quality management and operational performance: a case study from Pakistan. South Asian Journal of Operations and Logistics, 1(1), 14-19. https://doi.org/10.57044/SAJOL.2022.1.1.2201

Shahin, A., Gunasekaran, A., & Ebrahimi, S. (2019). Analyzing the influence of supply chain risk on supply chain sustainability using structural equation modelling-with a case study in the home appliance industry. Technology and Sustainable Development, 15(3), 230-251. https://doi.org/10.1504/WRSTSD.2019.10023635

Stone, M. (1974). Cross-validatory choice and assessment of statistical predictions. Journal of the Royal Statistical Society, 36(2), 111–133. https://doi.org/10.1111/j.2517-6161.1974.tb00994.x

Sukjit, S., & Vanichchinchai, A. (2020). An assessment of motivations on green warehousing in Thailand. In 2020 IEEE 7th International Conference on Industrial Engineering and Applications (ICIEA). https://doi.org/10.1109/ICIEA49774.2020.9102035

Tabachnick, B. G., Fidell, L. S., & Ullman, J. B. (2007). Using multivariate statistics (Vol. 5, pp. 481-498). Boston, MA: pearson.

Torabizadeh, M., Yusof, N. M., Ma’aram, A., & Shaharoun, A. M. (2020). Identifying sustainable warehouse management system indicators and proposing new weighting method. Journal of Cleaner Production, 248(119190), 119190. https://doi.org/10.1016/j.jclepro.2019.119190

Trivellas, P., Malindretos, G., & Reklitis, P. (2020). Implications of green logistics management on sustainable business and supply chain performance: Evidence from a survey in the Greek agri-food sector. Sustainability, 12(24), 10515. https://doi.org/10.3390/su122410515

Vehovar, V., Toepoel, V., & Steinmetz, S. (2016). Non-probability sampling (pp. 329-345). The Sage handbook of survey methods. SAGE Publications Ltd. https://doi.org/10.4135/9781473957893.n22

Victory, G. O., Lizzie, O. A., & Olaitan, A. A. (2022). Climate-Smart Agricultural Practices at Oyo State-Nigeria. South Asian Journal of Social Review, 1(1), 1-7. https://doi.org/10.57044/SAJSR.2022.1.1.2201

Wang, M., Asian, S., Wood, L. C., & Wang, B. (2020). Logistics innovation capability and its impacts on the supply chain risks in the Industry 4.0 era. Modern Supply Chain Research and Applications, 2(2), 83-98. https://doi.org/10.1108/MSCRA-07-2019-0015

Zhu, Q., Feng, Y., & Choi, S.-B. (2017). The role of customer relational governance in environmental and economic performance improvement through green supply chain management. Journal of Cleaner Production, 155, 46–53. https://doi.org/10.1016/j.jclepro.2016.02.124

Published

2022-06-30

How to Cite

Tahir Rasheed. (2022). Supply Chain Sustainability Through Green Practices in Manufacturing: A Case Study from Pakistan: Supply Chain Sustainability. South Asian Journal of Operations and Logistics, 1(1), 57–71. https://doi.org/10.57044/SAJOL.2022.1.1.2205

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