• Arsalan Mushtaq Karachi University Business School
  • Dr. Muhammad Asim Karachi University Business School
  • Salman Manzoor Karachi University Business School


Availability of Green Human Capital, Reverse Logistics Adoption, Remanufacturing Operations Performance, Firm Performance, Pakistan.


The current research has examined the factors that effects firm performance in the manufacturing industry of Karachi, Pakistan. The data collection was conducted by using quantitative approach and analysis was conducted by using PLS-SEM based on SmartPLS 3.2.8. The sample size was identified as 178 sample responses. The findings have identified that availability of green human capital has a positive and significant effect on reverse logistics adoption. The availability of green human capital has a positive and significant effect on remanufacturing operations performance. The GHRM has a positive and significant effect on reverse logistics adoption. The GHRM has a positive and significant effect on remanufacturing operations performance. The reverse logistics adoption has a positive and significant effect on firm performance. The reverse logistics adoption has a positive but insignificant effect on remanufacturing operations performance. The remanufacturing operations performance has a positive and significant effect on firm performance. In light of the above discussion, there are several recommendations for the SC managers and policymakers. Managers must concentrate on the planning to highlight the scope of green practices, identify capability deficiencies, and suggest suitable training programs.


Abdul-Rashid, S. H., Sakundarini, N., Ghazilla, R. A. R., & Thurasamy, R. (2017). The impact of sustainable manufacturing practices on sustainability performance. International Journal of Operations & Production Management.

Acquah, I. S. K., Agyabeng-Mensah, Y., & Afum, E. (2020). Examining the link among green human resource management practices, green supply chain management practices and performance. Benchmarking: An International Journal.

Amit, R., & Schoemaker, P. J. (1993). Strategic assets and organizational rent. Strategic management journal, 14(1), 33-46.

Bag, S., & Gupta, S. (2019). Examining the effect of green human capital availability in adoption of reverse logistics and remanufacturing operations performance. International Journal of Manpower.

Bag, S., Gupta, S., & Foropon, C. (2019). Examining the role of dynamic remanufacturing capability on supply chain resilience in circular economy. Management Decision.

Bahari, S. F. (2010). Qualitative versus quantitative research strategies: Contrasting epistemological and ontological assumptions. Sains Humanika, 52(1).

Barney, J. (1991). Firm resources and sustained competitive advantage. Journal of management, 17(1), 99-120.

Barney, J. B. (1986). Organizational culture: Can it be a source of sustained competitive advantage? Academy of management review, 11(3), 656-665.

Blessing, L. T., & Chakrabarti, A. (2009). Drm, a design research methodology: Springer Science & Business Media.

Choi, Y. S., & Lim, U. (2017). Contextual factors affecting the innovation performance of manufacturing smes in korea: A structural equation modeling approach. Sustainability, 9(7), 1193.

Chowdhury, M. M. H., & Quaddus, M. (2017). Supply chain resilience: Conceptualization and scale development using dynamic capability theory. International Journal of Production Economics, 188, 185-204.

Danneels, E. (2004). Disruptive technology reconsidered: A critique and research agenda. Journal of product innovation management, 21(4), 246-258.

Eisenhardt, K. M., & Martin, J. A. (2000). Dynamic capabilities: What are they? Strategic management journal, 21(10‐11), 1105-1121.

Fornell, C., & Larcker, D. F. (1981). Structural equation models with unobservable variables and measurement error: Algebra and statistics. Journal of marketing research, 18(3), 382-388.

Graham, I., Goodall, P., Peng, Y., Palmer, C., West, A., Conway, P., . . . Dettmer, F. U. (2015). Performance measurement and kpis for remanufacturing. Journal of Remanufacturing, 5(1), 10.

Hair, J. F., Hult, G. T. M., Ringle, C., & Sarstedt, M. (2016). A primer on partial least squares structural equation modeling (pls-sem): Sage Publications.

Hair, J. F., Sarstedt, M., Hopkins, L., & Kuppelwieser, V. G. (2014). Partial least squares structural equation modeling (pls-sem) an emerging tool in business research. European Business Review, 26(2), 106–121.

Hair Jr, J., Black, W., Babin, B., Anderson, R., & Tatham, R. (2010). Sem: An introduction. Multivariate data analysis: A global perspective, 5(6), 629-686.

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.

Huang, Y.-C., Huang, C.-H., & Yang, M.-L. (2017). Drivers of green supply chain initiatives and performance. International Journal of Physical Distribution & Logistics Management.

Ilyas, S., Srivastava, R. R., Kim, H., & Abbas, Z. (2020). Electrical and electronic waste in pakistan: The management practices and perspectives. In Handbook of electronic waste management (pp. 263-281): Elsevier.

Jabbour, C. J. C., & de Sousa Jabbour, A. B. L. (2016). Green human resource management and green supply chain management: Linking two emerging agendas. Journal of cleaner production, 112, 1824-1833.

Jabbour, C. J. C., Sarkis, J., de Sousa Jabbour, A. B. L., Renwick, D. W. S., Singh, S. K., Grebinevych, O., . . . Godinho Filho, M. (2019). Who is in charge? A review and a research agenda on the ‘human side’of the circular economy. Journal of Cleaner Production, 222, 793-801.

Kamble, S. S., Gunasekaran, A., & Gawankar, S. A. (2018). Sustainable industry 4.0 framework: A systematic literature review identifying the current trends and future perspectives. Process Safety and Environmental Protection, 117, 408-425.

Katiyar, R., Meena, P. L., Barua, M. K., Tibrewala, R., & Kumar, G. (2018). Impact of sustainability and manufacturing practices on supply chain performance: Findings from an emerging economy. International Journal of Production Economics, 197, 303-316.

Kim, Y. J., Kim, W. G., Choi, H.-M., & Phetvaroon, K. (2019). The effect of green human resource management on hotel employees’ eco-friendly behavior and environmental performance. International Journal of Hospitality Management, 76, 83-93.

Kirchherr, J., Reike, D., & Hekkert, M. (2017). Conceptualizing the circular economy: An analysis of 114 definitions. Resources, Conservation and Recycling, 127, 221-232.

Li, J., Wang, Z., Jiang, B., & Kim, T. (2017). Coordination strategies in a three-echelon reverse supply chain for economic and social benefit. Applied Mathematical Modelling, 49, 599-611.

Liao, T.-S. (2019). The role of r&d leverage as a dynamic capability in performance creation: Evidence from smes in taiwan. Journal of Business Administration Research, 2(02).

Longoni, A., Luzzini, D., & Guerci, M. (2018). Deploying environmental management across functions: The relationship between green human resource management and green supply chain management. Journal of Business Ethics, 151(4), 1081-1095.

Mangla, S. K., Govindan, K., & Luthra, S. (2016). Critical success factors for reverse logistics in indian industries: A structural model. Journal of Cleaner Production, 129, 608-621.

Marchi, B., Zanoni, S., Zavanella, L., & Jaber, M. (2019). Supply chain models with greenhouse gases emissions, energy usage, imperfect process under different coordination decisions. International Journal of Production Economics, 211, 145-153.

Molina-Azorín, J. F., Tarí, J. J., Pereira-Moliner, J., Lopez-Gamero, M. D., & Pertusa-Ortega, E. M. (2015). The effects of quality and environmental management on competitive advantage: A mixed methods study in the hotel industry. Tourism Management, 50, 41-54.

Najafizadeh, A., & Kazemi, F. (2019). The impact of reverse logistics capabilities on firm performance with mediating role of business strategy. Journal of System Management, 5(2), 225-240.

Newbert, S. L. (2005). New firm formation: A dynamic capability perspective. Journal of small business management, 43(1), 55-77.

Nitzl, C. (2016). The use of partial least squares structural equation modelling (pls-sem) in management accounting research: Directions for future theory development. Journal of Accounting Literature, 37, 19-35.

Pakistan, G. o. (2016). Economic survey of pakistan (2015-2016). In: Govt. of Pakistan, Economic Advisor’s Wing, Finance Division Islamabad, Pakistan.

Peteraf, M. A. (1993). The cornerstones of competitive advantage: A resource‐based view. Strategic management journal, 14(3), 179-191.

Ponomarov, S. Y., & Holcomb, M. C. (2009). Understanding the concept of supply chain resilience. The international journal of logistics management.

Prakash, C., & Barua, M. K. (2016). A multi-criteria decision-making approach for prioritizing reverse logistics adoption barriers under fuzzy environment: Case of indian electronics industry. Global Business Review, 17(5), 1107-1124.

Reed, R., & DeFillippi, R. J. (1990). Causal ambiguity, barriers to imitation, and sustainable competitive advantage. Academy of management review, 15(1), 88-102.

Roininen, S. (2008). Networking as a tool for competitive advantage: Evidence from swedish new ventures. Luleå tekniska universitet,

Rouse, M. J., & Daellenbach, U. S. (1999). Rethinking research methods for the resource‐based perspective: Isolating sources of sustainable competitive advantage. Strategic management journal, 20(5), 487-494.

Rubin, A., & Babbie, E. (2007). Survey research methods. Pacific Grove, CA: Brooks/Cole.

Rumelt, R. P. (1984). Towards a strategic theory of the firm. Competitive strategic management, 26(3), 556-570.

Shi, J., Liu, Z., Tang, L., & Xiong, J. (2017). Multi-objective optimization for a closed-loop network design problem using an improved genetic algorithm. Applied Mathematical Modelling, 45, 14-30.

Slattery, E. L., Voelker, C. C., Nussenbaum, B., Rich, J. T., Paniello, R. C., & Neely, J. G. (2011). A practical guide to surveys and questionnaires. Otolaryngology--Head and Neck Surgery, 144(6), 831-837.

Suen, L.-J. W., Huang, H.-M., & Lee, H.-H. (2014). A comparison of convenience sampling and purposive sampling. Hu Li Za Zhi, 61(3), 105.

Sun, L., Zhang, L., & Li, Y. (2018). Sustainable decisions on product upgrade confrontations with remanufacturing operations. Sustainability, 10(11), 4090.

Teixeira, A. A., Jabbour, C. J. C., de Sousa Jabbour, A. B. L., Latan, H., & De Oliveira, J. H. C. (2016). Green training and green supply chain management: Evidence from brazilian firms. Journal of Cleaner Production, 116, 170-176.

Tsoukas, H., & Mylonopoulos, N. (2003). Part special issue introduction: Modelling organizational knowledge. Journal of the Operational Research Society, 54(9), 911-913.

Vlachos, I. P. (2016). Reverse logistics capabilities and firm performance: The mediating role of business strategy. International Journal of Logistics Research and Applications, 19(5), 424-442.

Wernerfelt, B. (1984). A resource‐based view of the firm. Strategic management journal, 5(2), 171-180.

Wiersma, W., & Jurs, S. (2005). Research methods in education: An introduction 8 th edition, new york. Reison Education Inc.

Wilson, S. (2007). Two steps back in the cio reporting structure. CIO Magazine.

Xu, B. (2016). Green remanufacturing engineering and its development strategy in china. Frontiers of Engineering Management, 3(2), 102-106.

Yong, J. Y., Yusliza, M., Ramayah, T., & Fawehinmi, O. (2019). Nexus between green intellectual capital and green human resource management. Journal of cleaner production, 215, 364-374.

Zaid, A. A., Jaaron, A. A., & Bon, A. T. (2018). The impact of green human resource management and green supply chain management practices on sustainable performance: An empirical study. Journal of Cleaner Production, 204, 965-979.

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