Exploring the Dimensions of Value Chain Collaboration and its Influence on Circular Economy, a Mixed Methods Design Perspective & Future Research Potential at Republic of Malawi

A. V. Nageswara Rao*, Ibrahim Shuaib**
*-** Sharda University, Uttar Pradesh, India.
Periodicity:September - November'2022
DOI : https://doi.org/10.26634/jmgt.17.2.19198


The present research study focuses on value chain collaboration and its effects on the circular economy among agriculture firms in the Republic of Malawi. The study lays emphasis on individualism, supplier relationships, trust, and supply chain integration dimensions of value chain collaboration. The study articulates the synergistic effects across the value chain from a mixed-methods design perspective. The study uses explanatory mixed methods design with Partial Least Squares (PLS) and Structural equation modeling approach, quantitative data of (n=140) with Thematic analysis of structured interviews to explain significance of value chain collaboration on Circular economy. SPSS 25 was used to perform the statistical analysis of the respondents' data. The quantitative and qualitative data findings provide valuable insights into the nuances of understanding value chain collaboration effects on achieving a circular economy. The study's findings provide invaluable insights and impetus to practitioners, policymakers, and consultants in the area of agriculture.


Republic of Malawi, Value Chain Collaboration, Explanatory Mixed Methods, Agriculture Sector, Circular Economy.

How to Cite this Article?

Rao, A. V. N., and Shuaib, I. (2022). Exploring the Dimensions of Value Chain Collaboration and its Influence on Circular Economy, a Mixed Methods Design Perspective & Future Research Potential at Republic of Malawi. i-manager’s Journal on Management, 17(2), 17-30. https://doi.org/10.26634/jmgt.17.2.19198


[1]. Acquah, I. S. K., Naude, M. J., & Sendra-García, J. (2021). Supply chain collaboration in the petroleum sector of an emerging economy: Comparing results from symmetrical and asymmetrical approaches. Technological Forecasting and Social Change, 166, 120568. https://doi.org/10.1016/j.techfore.2020.120568
[2]. Al-Abdallah, G. M., Abdallah, A. B., & Hamdan, K. B. (2014). The impact of supplier relationship management on competitive performance of manufacturing firms. International Journal of Business and Management, 9(2), 192–202.
[3]. Alatinga, K. A., & Williams, J. J. (2019). Mixed methods research for health policy development in Africa: The case of identifying very poor households for health insurance premium exemptions in Ghana. Journal of Mixed Methods Research, 13(1), 69-84. https://doi.org/10.1177/1558689816665056
[4]. Arvitrida, N., Robinson, S., Tako, A., & Robertson, D. (2016). An agent-based model of supply chain collaboration: Investigating manufacturer loyalty. Proceedings of the Operational Research Society Simulation Workshop, 2016 (SW16).
[5]. Aubert, B. A., & Rivard, S. (2016). A commentary on. Journal of Strategic Information Systems, 25(1), 64-67. https://doi.org/10.1016/j.jsis.2016.02.001
[6]. Baah, C., Acquah, I. S. K., & Ofori, D. (2021). Exploring the influence of supply chain collaboration on supply chain visibility, stakeholder trust, environmental and financial performances: a partial least square approach. Benchmarking: An International Journal, 29(1), 172-193. https://doi.org/10.1108/BIJ-10-2020-0519
[7]. Banchuen, P., Sadler, I., & Shee, H. (2017). Supply chain collaboration aligns order-winning strategy with business outcomes. IIMB Management Review, 29(2), 109-121. https://doi.org/10.1016/j.iimb.2017.05.001
[8]. Barney, J. B. (2012). Purchasing, supply chain management and sustained competitive advantage: The relevance of resource-based theory. Journal of Supply Chain Management, 48(2), 3-6. https://doi.org/10.1111/j.1745-493X.2012.03265.x
[9]. Bazeley, P. (2012). Integrative analysis strategies for mixed data sources. American Behavioral Scientist, 56(6), 814-828. https://doi.org/10.1177/0002764211426330
[10]. Bazeley, P. (2018). Integrating Analyses in Mixed Methods Research. Sage Publications. https://doi.org/10.4135/9781526417190
[11]. Campbell, J. M., & Park, J. (2017). Extending the resource-based view: Effects of strategic orientation toward community on small business performance. Journal of Retailing and Consumer Services, 34, 302-308. https://doi.org/10.1016/j.jretconser.2016.01.013
[12]. Cao, M., & Zhang, Q. (2011). Supply chain collaboration: Impact on collaborative advantage and firm performance. Journal of Operations Management, 29(3), 163-180. https://doi.org/10.1016/j.jom.2010.12.008
[13]. Cao, M., & Zhang, Q. (2012). Supply Chain Collaboration: Roles of Interorganizational Systems, Trust, and Collaborative Culture. Springer, London.
[14]. Cao, M., & Zhang, Q. (2013). Supply chain collaboration characterization. In Supply Chain Collaboration (pp. 55-75). Springer, London. https://doi.org/10.1007/978-1-4471-4591-2_4
[15]. Chen, J. V., Su, B. C., & Hiele, T. M. (2017). The impact of IT–coordination costs on firm size and productivity: transaction cost perspective. International Journal of Electronic Commerce, 21(1), 99-127. https://doi.org/10.1080/10864415.2016.1204191
[16]. Cho, H. S. (2014). Determinants and effects of logistics costs in container ports: The transaction cost economics perspective. The Asian Journal of Shipping and Logistics, 30(2), 193-215. https://doi.org/10.1016/j.ajsl.2014.09.004
[17]. Clark, V. P., & Ivankova, N. V. (2016). How to use mixed methods research? Understanding the basic mixed methods designs. Mixed Methods Research: A Guide to the Field, 105-134. https://doi.org/10.4135/9781483398341
[18]. Creamer, E. G. (2018). Striving for methodological integrity in mixed methods research: The difference between mixed methods and mixed-up methods. Journal of Engineering Education, 107(4), 526-530.
[19]. Dijk, M. V. (2016). Cross-border collaboration in European–Russian supply chains: integrative approach of provision on design, performance and impediments. Contributions to Game Theory and Management, 9, 118-169.
[20]. Evertsson, N. (2017). A nested analysis of electoral donations. Journal of Mixed Methods Research, 11(1), 77-98. https://doi.org/10.1177/1558689815585208
[21]. Fawcett, S. E., Fawcett, A. M., Watson, B. J., & Magnan, G. M. (2012). Peeking inside the black box: toward an understanding of supply chain collaboration dynamics. Journal of Supply Chain Management, 48(1), 44-72. https://doi.org/10.1111/j.1745-493X.2011.03241.x
[22]. Fawcett, S. E., McCarter, M. W., Fawcett, A. M., Webb, G. S., & Magnan, G. M. (2015). Why supply chain collaboration fails: the socio-structural view of resistance to relational strategies. Supply Chain Management: An International Journal, 20(6), 648-663. https://doi.org/10.1108/SCM-08-2015-0331
[23]. Fetters, M. D., & Freshwater, D. (2015). The 1 + 1 = 3 integration challenge. Journal of Mixed Methods Research, 9(2), 115-117. https://doi.org/10.1177/1558689815581222
[24]. Fetters, M. D., & Molina-Azorin, J. F. (2019). Rebuttal- Conceptualizing integration during both the data collection and data interpretation phases: A response to David Morgan. Journal of Mixed Methods Research, 13(1), 12-14. https://doi.org/10.1177/1558689818780596a
[25]. Fetters, M. D., Curry, L. A., & Creswell, J. W. (2013). Achieving integration in mixed methods designsprinciples and practices. Health Services Research, 48(6pt2), 2134-2156. https://doi.org/10.1111/1475-6773.12117
[26]. Guetterman, T. C., Fetters, M. D., & Creswell, J. W. (2015). Integrating quantitative and qualitative results in health science mixed methods research through joint displays. The Annals of Family Medicine, 13(6), 554-561. https://doi.org/10.1370/afm.1865
[27]. Hair, J. F., Howard, M. C., & Nitzl, C. (2020). Assessing measurement model quality in PLS-SEM using confirmatory composite analysis. Journal of Business Research, 109, 101-110. https://doi.org/10.1016/j.jbusres.2019.11.069
[28]. Hair, J. F., Hult, G. T. M., Ringle, C., & Sarstedt, M. (2016). A Primer on Partial Least Squares Structural Equation Modelling. Sage publications, Los Angeles.
[29]. Hair, J. F., Risher, J. J., Sarstedt, M., & Ringle, C. M. (2019). When to use and how to report the results of PLSSEM. European Business Review, 31(1), 2-24. https://doi.org/10.1108/EBR-11-2018-0203
[30]. Hair, J. F., Sarstedt, M., Ringle, C. M., & Gudergan, S. P. (2017). Advanced Issues in Partial Least Squares Structural Equation Modeling. Sage publications.
[31]. 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
[32]. Hofer, C., Jin, H., Swanson, R. D., Waller, M. A., & Williams, B. D. (2012). The impact of key retail accounts on supplier performance: A collaborative perspective of resource dependency theory. Journal of Retailing, 88(3), 412-420. https://doi.org/10.1016/j.jretai.2011.12.003
[33]. Ivankova, N. V. (2014). Mixed Methods Applications in Action Research. Sage, Los Angeles.
[34]. Ivankova, N. V., Creswell, J. W., & Stick, S. L. (2006). Using mixed-methods sequential explanatory design: From theory to practice. Field Methods, 18(1), 3-20. https://doi.org/10.1177/1525822X05282260
[35]. Kauppila, O. P. (2015). Alliance management capability and firm performance: Using resource-based theory to look inside the process black box. Long Range Planning, 48(3), 151-167. https://doi.org/10.1016/j.lrp.2013.08.006
[36]. Kucharska, W., & Kowalczyk, R. (2016). Trust, collaborative culture and tacit knowledge sharing in project management-A relationship model. In Proceedings of the 13th International Conference on Intellectual Capital, Knowledge Management & Organisational Learning: ICICKM 2016, (pp. 159-166). https://doi.org/10.13140/RG.2.2.25908.04486
[37]. Kumar, G., Banerjee, R. N., Meena, P. L., & Ganguly, K. (2016). Collaborative culture and relationship strength roles in collaborative relationships: a supply chain perspective. Journal of Business & Industrial Marketing, 31(5), 587–599. https://doi.org/10.1108/JBIM-12-2014-0254
[38]. Lei, H., Le, P. B., & Nguyen, H. T. H. (2017). How collaborative culture supports for competitive advantage: the mediating role of organizational learning. International Journal of Business Administration, 8(2), 73-85.
[39]. Luyt, R. (2012). A framework for mixing methods in quantitative measurement development, validation, and revision: A case study. Journal of Mixed Methods Research, 6(4), 294-316. https://doi.org/10.1177/1558689811427912
[40]. Maleku, A., Kim, Y. K., Kagotho, N., & Lim, Y. (2021). Expanding the transformative explanatory sequential mixed methods design archetype in a cross-cultural context: The polemics of African refugee livelihoods in places of resettlement. Journal of Mixed Methods Research, 15(2), 212-239. https://doi.org/10.1177/1558689820936378
[41]. Mandal, S., Roy, S., & Raju, G. A. (2016). Tourism supply chain agility: an empirical examination using resource-based view. International Journal of Business Forecasting and Marketing Intelligence, 2(2), 151-173. https://doi.org/10.1504/IJBFMI.2016.078156
[42]. McCrudden, M. T., & McTigue, E. M. (2019). Implementing integration in an explanatory sequential mixed methods study of belief bias about climate change with high school students. Journal of Mixed Methods Research, 13(3), 381-400. https://doi.org/10.1177/1558689818762576
[43]. Mphepo, P., & Rao, A. V. N. (2021). Effects of the world trade organization's initiatives on trade facilitation: a case of Malawi's agricultural sector. Turkish Online Journal of Qualitative Inquiry (TOJQI), 12(7), 3826-3837.
[44]. Nageswararao, A. V., Sahu, D., & Mohan, V. K. (2011). Strategic enterprise resource planning for global supply chain competitiveness. i-manager's Journal of Educational Technology, 7(4), 19-27. https://doi.org/10.26634/jet. 7.4.1390
[45]. Nikolchenko, N., & Lebedeva, A. (2017). Integrative approach to supply chain collaboration in distribution networks: Impact on firm performance. Contributions to Game Theory and Management, 10, 185–225.
[46]. Nyaga, G. N., Whipple, J. M., & Lynch, D. F. (2010). Examining supply chain relationships: do buyer and supplier perspectives on collaborative relationships differ? Journal of Operations Management, 28(2), 101-114. https://doi.org/10.1016/j.jom.2009.07.005
[47]. O'Cathain, A., Murphy, E., & Nicholl, J. (2010). Three techniques for integrating data in mixed methods studies. BMJ, 341. https://doi.org/10.1136/bmj.c4587
[48]. Ralston, P. M., Richey, R. G., & Grawe, S. J. (2017). The past and future of supply chain collaboration: a literature synthesis and call for research. The International Journal of Logistics Management, 28(2), 508-530. https://doi.org/10.1108/IJLM-09-2015-0175
[49]. Rao, A. N. (2019). Effectiveness of merchandise export India scheme (Meis) in export promotion: a case of select registered exporters from Noida, Delhi-NCR region. i-manager's Journal on Management, 13(4), 40-47. https://doi.org/110.26634/jmgt.13.4.15818
[50]. Rao, A. N. (2021a). Key factors influencing supply chain-collaborative innovation for sustainable supply chain performance: A case of logistics sector in Delhi NCR region. i-manager's Journal on Management, 15(4), 20-30. https://doi.org/10.26634/jmgt.15.4.18253
[51]. Rao, A. N. (2021b). Exploring the factors for enhancing supply chain responsiveness in logistics industry: a case study of select logistics companies in Delhi NCR Region. International Journal of Indian Culture and Business Management, 24(2), 214-224. https://doi.org/10.1504/IJICBM.2021.118880
[52]. Rao, A. N., & Attree, A. (2019). Critical analysis of factors influencing the choice of marketing channel-a case of vegetable crops grown via greenhouse farming in Delhi NCR. i-manager's Journal on Management, 14(2), 48-59. https://doi.org/10.26634/jmgt.14.2.16114
[53]. Rao, A. N., Sahu, D., & Mohan, V. K. (2010). The effects of integration strategies on organizational performance in retail industry. i-manager's Journal on Management, 5(1), 23-34. https://doi.org/10.26634/jmgt.5.1.1226
[54]. Rao, A. N., Sahu, D., & Mohan, V. K. (2011). IT adoption for supply chain integration in retail sector. International Journal of Computing & Information Technology, 1(2), 102-106.
[55]. Rao, A. V. N. (2005). Integrated information systems for effective supply chain management. Journal of Integrated Management Systems, 1, 44-50.
[56]. Rao, A. V. N. (2021c). Investigating the key determinants and criteria for supplier selection process effects on supply chain performance: A case study of select logistics companies in Delhi NCR region. imanager's Journal on Management, 15(3), 18-27. https://doi.org/10.26634/jmgt.15.3.17926
[57]. Rao, A. V. N., Sahu, D. (2014). The effects of customer and supplier co-ordination on value chain performance. International Journal of Research in Management Sciences (IJRMS), 2(1), 1-12.
[58]. Rao, A. V. N., Sahu, D., & Mohan, V. (2011). Strategic enterprise resource planning for global supply chain competitiveness. i-manager's Journal of Educational Technology, 7(4), 19-27. https://doi.org/10.26634/jet.7.4.1390
[59]. Rao, A. V., Mohan, V. K., & Sahu, D. (2009). Enhancing work place competency through innovative integrated learning. i-manager's Journal of Educational Technology, 6(1), 6-12. https://doi.org/10.26634/jet.6.1.204
[60]. Sarstedt, M., Hair, J. F., Ringle, C. M., Thiele, K. O., & Gudergan, S. P. (2016). Estimation issues with PLS and CBSEM: Where the bias lies! Journal of Business Research, 69(10), 3998-4010. https://doi.org/10.1016/j.jbusres.2016.06.007
[61]. Schindler, L. A., & Burkholder, G. J. (2016). A mixed methods examination of the influence of dimensions of support on training transfer. Journal of Mixed Methods Research, 10(3), 292-310. https://doi.org/10.1177/1558689814557132
[62]. Sedera, D., Lokuge, S., Grover, V., Sarker, S., & Sarker, S. (2016). Innovating with enterprise systems and digital platforms: A contingent resource-based theory view. Information & Management, 53(3), 366-379. https://doi.org/10.1016/j.im.2016.01.001
[63]. Sellitto, M. A., Camfield, C. G., & Buzuku, S. (2020). Green innovation and competitive advantages in a furniture industrial cluster: A survey and structural model. Sustainable Production and Consumption, 23, 94-104. https://doi.org/10.1016/j.spc.2020.04.007
[64]. Seo, Y. J., Dinwoodie, J., & Roe, M. (2016). The influence of supply chain collaboration on collaborative advantage and port performance in maritime logistics. International Journal of Logistics Research and Applications, 19(6), 562-582. https://doi.org/10.1080/13675567.2015.1135237
[65]. Sheu, J. B. (2014). Green supply chain collaboration for fashionable consumer electronics products under third-party power intervention-A resource dependence perspective. Sustainability, 6(5), 2832-2875. https://doi.org/10.3390/su6052832
[66]. Tashakkori, A., & Teddlie, C. (2011). Mixed methods research: Contemporary issues in an emerging field. The SAGE Handbook of Qualitative Research, 4. https://doi.org/10.4135/9781506335193
[67]. Verdecho, M. J., Alfaro-Saiz, J. J., Rodriguez- Rodriguez, R., & Ortiz-Bas, A. (2012). A multi-criteria approach for managing inter-enterprise collaborative relationships. Omega, 40(3), 249-263. https://doi.org/10.1016/j.omega.2011.07.004
[68]. Wernerfelt, B. (2016). Adaptation, Specialization, and the Theory of the Firm: Foundations of the Resource- Based View. Cambridge University Press.
[69]. Williamson, O. E. (2014). The transaction cost economics project. Montenegrin Journal of Economics, 10(1), 7–11.
[70]. Williamson, O. E. (2016). The transaction cost economics project: origins, evolution, utilization. In The Elgar Companion to Ronald H. Coase (pp. 34-42). Edward Elgar Publishing https://doi.org/10.4337/9781782547990.00011
[71]. Wowak, K. D., Craighead, C. W., Ketchen Jr, D. J., & Hult, G. T. M. (2016). Toward a “theoretical toolbox” for the supplier-enabled fuzzy front end of the new product development process. Journal of Supply Chain Management, 52(1), 66-81. https://doi.org/10.1111/jscm.12084
[72]. Yılmaz, H., Çemberci, M., & Uca, N. (2016). The role of collaborative advantage for analyzing the effect of supply chain collaboration on firm performance. International Journal of Commerce and Finance, 2(1), 157-168
[73]. Zhang, Q., & Cao, M. (2018). Exploring antecedents of supply chain collaboration: Effects of culture and interorganizational system appropriation. International Journal of Production Economics, 195, 146-157. https://doi.org/10.1016/j.ijpe.2017.10.014
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