Validación de un método de selección de participantes dentro de un diseño de investigación mixta secuencial para estudios de caso de cadena de suministro sostenible
##plugins.themes.bootstrap3.article.details##
La literatura en cadenas de suministro sostenible (SSCM) sugiere incorporar enfoques multidisciplinares y metodologías mixtas; no obstante, la literatura es escasa sobre como seleccionar participantes para la fase cualitativa, dentro de un Diseño Secuencial Explicativo (DEXPLIS). Esta investigación aplica y valida el método de selección de participantes (MSP) Pathway, dentro de DEXPLIS, indagando por la influencia de la integración con partes interesadas secundarias sobre prácticas avanzadas de SSCM, para pymes. La literatura en SSCM reconoce la importancia de un método riguroso de selección de casos cualitativos, a partir de datos previos cuantitativos.
Como resultado, el MSP Pathway seleccionó los casos “precisos” (pymes) donde la influencia de la variable independiente sobre la dependiente demostró ser mayor. La selección finalizó con una validación y priorización de los casos por expertos, de acuerdo con criterios definidos. Los resultados demuestran la aplicabilidad y pertinencia del método DEXPLIS y su MSP.
Mixed methods research, participant selection, case study, sustainable supply chain managementMétodos mixtos de investigación, selección de participantes, estudio de caso, gestión de la cadena de suministro sostenible
Ageron, B., Gunasekaran, A., & Spalanzani, A. (2012). Sustainable supply management: An empirical study. International Journal of Production Economics, 140(1), 168–182. https://doi.org/10.1016/j.ijpe.2011.04.007
Alegre, J., & Chiva, R. (2008). Assessing the impact of organizational learning capability on product innovation performance: An empirical test. Technovation, 28(6), 315–326. https://doi.org/10.1016/j.technovation.2007.09.003
Allen, S. D., Zhu, Q., & Sarkis, J. (2021). Expanding conceptual boundaries of the Sustainable Supply Chain Management and Circular Economy Nexus. Cleaner Logistics and Supply Chain, 2, 100011. https://doi.org/10.1016/j.clscn.2021.100011
Angeles, A., Centeno, E., & Villanueva, C. E. (2019). Examining structural flexibility factors in SMEs: A mixed methods study in Mexico. The Electronic Journal of Business Research Methods, 17(1), 28–42. https://www.researchgate.net/publication/333765747_Examining_Structural_Flexibility_Factors_in_SMEs_A_Mixed_Methods_Study_in_Mexico
Ansari, Z. N., & Kant, R. (2017). A state-of-art literature review reflecting 15 years of focus on sustainable supply chain management. Journal of Cleaner Production, 142, 2524–2543. https://doi.org/10.1016/j.jclepro.2016.11.023
Apaydin Cirik, V., Gül, U., & Aksoy, B. (2022). The image of nursing among nursing and other healthcare professional university students: A mixed-method study. Nurse Education in Practice, 59. https://doi.org/10.1016/j.nepr.2022.103293
Aschehoug, S. H., Boks, C., & Storen, S. (2012). Environmental information from stakeholders supporting product development. Journal of Cleaner Production, 31, 1–13. https://doi.org/10.1016/j.jclepro.2012.02.031
Ayati, S. M., Shekarian, E., Majava, J., & Wæhrens, B. V. (2022). Toward a circular supply chain: Understanding barriers from the perspective of recovery approaches. Journal of Cleaner Production, 359. https://doi.org/10.1016/j.jclepro.2022.131775
Azevedo, S. G., Carvalho, H., & Cruz Machado, V. (2011). The influence of green practices on supply chain performance: A case study approach. Transportation Research Part E: Logistics and Transportation Review, 47(6), 850–871. https://doi.org/10.1016/j.tre.2011.05.017
Bag, S., & Anand, N. (2016). The importance of innovation leadership in cultivating sustainable supply chain management and enhancing organisation performance. International Journal of Process Management and Benchmarking, 6(4), 469-490. https://doi.org/10.1504/IJPMB.2016.079673
Baştemur, Ş., & Uçar, S. (2022). Mixed method research on effective psychological counselor characteristics and empowerment needs of turkish school counselors. Participatory Educational Research, 9(1), 1–21. https://doi.org/10.17275/PER.22.1.9.1
Beske, P., Land, A., & Seuring, S. (2014). Sustainable supply chain management practices and dynamic capabilities in the food industry: A critical analysis of the literature. International Journal of Production Economics, 152, 131–143. https://doi.org/10.1016/j.ijpe.2013.12.026
Bové, A. T., & Swartz, S. (2016). Starting at the source: Sustainability in supply chains. McKinsey & Company.
Brown, S. (2010). Likert Scale Examples for Surveys [Pdf]. Iowa State University. https://www.extension.iastate.edu/documents/anr/likertscaleexamplesforsurveys.pdf
Bueddefeld, J., Murphy, M., Ostrem, J., & Halpenny, E. (2021). Methodological bricolage and COVID-19: An illustration from innovative, novel, and adaptive environmental behavior change research. Journal of Mixed Methods Research, 15(3), 437–461. https://doi.org/10.1177/15586898211019496
Bults, M., van Leersum, C. M., Olthuis, T. J. J., Bekhuis, R. E. M., & den Ouden, M. E. M. (2022). Barriers and drivers regarding the use of mobile health apps among patients with type 2 diabetes mellitus in the Netherlands: Explanatory sequential design study. JMIR Diabetes, 7(1), e31451. https://doi.org/10.2196/31451
Buysse, K., & Verbeke, A. (2003). Proactive environmental strategies: A stakeholder management perspective. Strategic Management Journal, 24(5), 453–470. https://doi.org/10.1002/smj.299
Campbell, T. D., & Profetto-Mcgrath, J. (2013). Skills and attributes required by clinical nurse specialists to promote evidence-based practice. Clinical Nurse Specialist, 27(5), 245–254. https://doi.org/10.1097/NUR.0b013e3182a0ba68
Carballo-Penela, A., Mateo-Mantecón, I., Alvarez, S., & Castromán-Diz, J. L. (2018). The role of green collaborative strategies in improving environmental sustainability in supply chains: Insights from a case study. Business Strategy and the Environment, 27(6), 728–741. https://doi.org/10.1002/bse.2027
Carter, C. R., & Easton, L. P. (2011). Sustainable supply chain management: Evolution and future directions. International Journal of Physical Distribution & Logistics Management, 41(1), 46–62. https://doi.org/10.1108/09600031111101420
Carter, C. R., Hatton, M. R., Wu, C., & Chen, X. (2019). Sustainable supply chain management: Continuing evolution and future directions. International Journal of Physical Distribution & Logistics Management, 50(1), 122–146. https://doi.org/10.1108/IJPDLM-02-2019-0056
Carter, C. R., & Rogers, D. S. (2008). A framework of sustainable supply chain management: moving toward new theory. International Journal of Physical Distribution & Logistics Management, 38(5), 360–387. https://doi.org/10.1108/09600030810882816
Chacón-Vargas, J. R., Moreno-Mantilla, C. E., & de Sousa Jabbour, A. B. L. (2018). Enablers of sustainable supply chain management and its effect on competitive advantage in the Colombian context. Resources, Conservation and Recycling, 139, 237–250. https://doi.org/10.1016/j.resconrec.2018.08.018
Cimadamore, A., Vidal, E., Werthein, F. M., & Flament, M. (2002). Best practices in poverty reduction in Argentina: Towards the identification of a selection method. In Best Practices in Poverty Reduction: An Analytical Framework. London: Zed Books.
Creswell, J. W. (2012). Educational research: Planning, conducting, and evaluating quantitative and qualitative research, 4th ed. Boston, MA: Pearson.
Creswell, J. W., & Creswell, J. D. (2018). Research design: qualitative, quantitative, and mixed methods approaches, 5th ed. Los Angeles: Sage Publications, Inc.
Creswell, J. W., & Plano Clark, V. L. (2017). Designing and conducting mixed methods research, 3rd ed. Thousand Oaks, CA: Sage Publications, Inc.
Creswell, J. W., Plano Clark, V. L., Gutmann, M. L., & Hanson, W. E. (2003). Advanced mixed methods research designs. In A. Tashakkori & C. Teddlie (Eds.), Handbook of mixed methods in social and behavioral research (pp. 209–240). Thousand Oaks, CA: Sage Publications, Inc.
D’Eusanio, M., Zamagni, A., & Petti, L. (2019). Social sustainability and supply chain management: Methods and tools. Journal of Cleaner Production, 235, 178–189. https://doi.org/10.1016/j.jclepro.2019.06.323
Donaldson, J. A., Ching, R., & Tan, A. (2013). Going extreme: Systematically selecting exceptional cases for study through qualitative methods. APSA 2013 Annual Meeting Paper; American Political Science Association 2013 Annual Meeting. https://ssrn.com/abstract=2301488
Donate-Manzanares, M., Rodríguez-Cano, T., Rodríguez-Almagro, J., Hernández-Martínez, A., Santos-Hernández, G., & Beato-Fernández, L. (2021). Mixed-method study of women’s assessment and experience of childbirth care. Journal of Advanced Nursing, 77(10), 4195–4210. https://doi.org/10.1111/jan.14984
Draucker, C. B., Rawl, S. M., Vode, E., & Carter-Harris, L. (2020). Integration through connecting in explanatory sequential mixed method studies. Western Journal of Nursing Research, 42(12), 1137–1147. https://doi.org/10.1177/0193945920914647
Dubey, R., Gunasekaran, A., Papadopoulos, T., Childe, S. J., Shibin, K. T., & Wamba, S. F. (2017a). Sustainable supply chain management: Framework and further research directions. Journal of Cleaner Production, 142, 1119–1130. https://doi.org/10.1016/j.jclepro.2016.03.117
Dubey, R., Gunasekaran, A., Childe, S. J., Papadopoulos, T., & Fosso Wamba, S. (2017b). World class sustainable supply chain management: Critical review and further research directions. The International Journal of Logistics Management, 28(2), 332–362. https://doi.org/10.1108/IJLM-07-2015-0112
El Baz, J., Frei, R., & Laguir, I. (2018). Reverse supply chain practices in developing countries: the case of Morocco. Journal of Manufacturing Technology Management, 29(1), 198–216. https://doi.org/10.1108/JMTM-04-2017-0068
Esty, D., & Winston, A. (2006). Green to Gold: How Smart Companies Use Environmental Strategy to Innovate, Create Value, and Build Competitive Advantage (New Haven). Yale University Press.
Faisal, M. N. (2023). Role of Industry 4.0 in circular supply chain management: A mixed-method analysis. Journal of Enterprise Information Management, 36(1), 303–322. https://doi.org/10.1108/JEIM-07-2021-0335
Gerring, J. (2017). Case Study Research: Principles and Practices (Strategies for Social Inquiry). Cambridge University Press.
Ghods, A. A., Ebadi, A., Sharif Nia, H., Allen, K. A., & Ali-Abadi, T. (2023). Academic burnout in nursing students: An explanatory sequential design. Nursing Open, 10(2), 535–543. https://doi.org/10.1002/nop2.1319
Govindan, K., Shankar, M., & Kannan, D. (2018). Supplier selection based on corporate social responsibility practices. International Journal of Production Economics, 200, 353–379. https://doi.org/10.1016/j.ijpe.2016.09.003
Guetterman, T. C., Fetters, M. D., & Creswell, J. W. (2015). Integrating quantitative and qualitative results in health science mixed methods research through joint displays. Annals of Family Medicine, 13(6), 554–561. https://doi.org/10.1370/afm.1865
Gungordu, N., Ozturk, B., & Hernandez-Reif, M. (2022). Empathy and sibling relationship dynamics of women in emerging adulthood: Mixed-method research. Family Relations, 71(1), 238–255. https://doi.org/10.1111/fare.12618
Hadi, M. A., & Closs, S. J. (2016). Applications of mixed-methods methodology in clinical pharmacy research. International Journal of Clinical Pharmacy, 38(3), 635–640. https://doi.org/10.1007/s11096-015-0231-z
Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2010). Multivariate data analysis, 7th ed. (Upper Sadd). NJ: Prentice Hall.
Hart, & 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
Hart, S. L. (1995). A Natural-Resource-Based View of the Firm. Academy of Management Review, 20(4), 986–1014. https://doi.org/10.5465/AMR.1995.9512280033
Haynes-Brown, T. K. (2022). Using theoretical models in mixed methods research: An example from an explanatory sequential mixed methods study exploring teachers’ beliefs and use of technology. Journal of Mixed Methods Research, 17(3), 1–21. https://doi.org/10.1177/15586898221094970
Hernández-Sampieri, R., Fernández-Collado, C., & Baptista-Lucio, P. (2014). Metodología de la investigación. México, D.F.: McGraw-Hill Education.
Hernández-Sampieri, R. & Mendoza, C. (2018). Metodología de la investigación. Las rutas cuantitativa, cualitativa y mixta. McGraw-Hill, New York.
Hlebec, V., & Mrzel, M. (2012). Methodological problems and solutions regarding explanatory mixed methods research design - Participant selection model. Teorija in Praksa, 49(2), 245–263. https://www.researchgate.net/publication/288697736_Methodological_problems_and_solutions_regarding_explanatory_mixed_methods_research_design_-_Participant_selection_model
Hong, J., Zhang, Y., & Ding, M. (2018). Sustainable supply chain management practices, supply chain dynamic capabilities, and enterprise performance. Journal of Cleaner Production, 172, 3508–3519. https://doi.org/10.1016/j.jclepro.2017.06.093
Hughes, S. D., Woods, W. J., O’Keefe, K. J., Delgado, V., Pipkin, S., Scheer, S., & Truong, H. H. M. (2021). Integrating phylogenetic biomarker data and qualitative approaches: An example of HIV transmission clusters as a sampling frame for semistructured interviews and implications for the COVID-19 era. Journal of Mixed Methods Research, 15(3), 327–347. https://doi.org/10.1177/15586898211012786
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
Ivankova, N. V., & Stick, S. L. (2007). Students’ persistence in a distributed doctoral program in educational leadership in higher education: A mixed methods study. Research in Higher Education, 48(1), 93–135. https://doi.org/10.1007/s11162-006-9025-4
Jabbour, A. B. L. de S., Azevedo, F. de S., Arantes, A. F., & Jabbour, C. J. C. (2013). Green supply chain management in local and multinational high-tech companies located in Brazil. The International Journal of Advanced Manufacturing Technology, 68, 807–815. https://doi.org/10.1007/s00170-013-4945-6
James, T. G., DeJonckheere, M., & Guetterman, T. C. (2022). Integrating transformative considerations and quantitative results through a participant selection joint display in explanatory sequential mixed methods studies. Journal of Mixed Methods Research, 1–17. https://doi.org/10.1177/15586898221149470
Kaufman, F. D., & Ülkü, M. A. (2018). An interdisciplinary inquiry into sustainable supply chain management. Handbook of Research on Supply Chain Management Sustainable Development (pp. 1-17). https://doi.org/10.4018/978-1-5225-5757-9.ch001
Kearins, K., Collins, E., & Tregidga, H. (2010). Beyond corporate environmental management to a consideration of nature in visionary small enterprise. Business & Society, 49(3), 512–547. https://doi.org/10.1177/0007650310368988
Khalid, R. U., Seuring, S., Beske, P., Land, A., Yawar, S. A., & Wagner, R. (2015). Putting sustainable supply chain management into base of the pyramid research. Supply Chain Management: An International Journal, 20(6), 681–696. https://doi.org/10.1108/scm-06-2015-0214
Klewitz, J., & Hansen, E. G. (2014). Sustainability-oriented innovation of SMEs: A systematic review. Journal of Cleaner Production, 65, 57–75. https://doi.org/10.1016/j.jclepro.2013.07.017
Koberg, E., & Longoni, A. (2019). A systematic review of sustainable supply chain management in global supply chains. Journal of Cleaner Production, 207, 1084–1098. https://doi.org/10.1016/j.jclepro.2018.10.033
Lee, K. (2009). Why and how to adopt green management into business organizations? The case study of Korean SMEs in manufacturing industry. Management Decision, 47(7), 1101–1121. https://doi.org/10.1108/00251740910978322
Levy, J. S. (2008). Case studies: Types, designs, and logics of inference. Conflict Management and Peace Science, 25(1), 1–18. https://doi.org/10.1080/07388940701860318
Maignan, I., & Ferrell, O. C. (2004). Corporate Social Responsibility and Marketing: An Integrative Framework. Journal of the Academy of Marketing Science, 32(1), 3–19. https://doi.org/10.1177/0092070303258971
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
Malviya, R. K., & Kant, R. (2015). Green supply chain management (GSCM): a structured literature review and research implications. Benchmarking: An International Journal, 22(7), 1360–1394. https://doi.org/10.1108/BIJ-01-2014-0001
Marsh, H. W., Wen, Z., Hau, K.-T., & Nagengast, B. (2013). Structural equation models of latent interaction and quadratic effects. In G. R. Hancock & R. O. Mueller (Eds.), Quantitative methods in education and the behavioral sciences: Issues, research, and teaching. Structural equation modeling: A second course (pp. 267–308).
Marshall, D., McCarthy, L., Heavey, C., & McGrath, P. (2015). Environmental and social supply chain management sustainability practices: construct development and measurement. Production Planning & Control, 26(8), 673–690. https://doi.org/10.1080/09537287.2014.963726
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
Min, H., & Kim, I. (2012). Green supply chain research: Past, present, and future. Logistics Research, 4(1-2), 39–47. https://doi.org/10.1007/s12159-012-0071-3
Muller, C. R., & Pelser, T. G. (2022). A proposed leadership skills development model for African FMCG business-networks: Super-Cube. South African Journal of Economic and Management Sciences, 25(1). https://doi.org/10.4102/sajems.v25i1.4303
Pagell, M., & Shevchenko, A. (2014). Why research in sustainable supply chain management should have no future. Development of Truly Sustainable Supply Chains, 50(1), 44–55. https://doi.org/10.1111/jscm.12037
Pagell, M., & Wu, Z. (2009). Building a more complete theory of sustainable supply chain management using case studies of 10 exemplars. Journal of Supply Chain Management, 45(2), 37–56. https://doi.org/10.1111/j.1745-493X.2009.03162.x
Plaza-Úbeda, J. A., Burgos-Jiménez, J. D., & Carmona-Moreno, E. (2010). Measuring Stakeholder Integration: Knowledge, Interaction and Adaptational Behavior Dimensions. Journal of Business Ethics, 93(3), 419–442. https://doi.org/10.1007/s10551-009-0231-9
Prasad, D. S., Pradhan, R. P., Gaurav, K., Chatterjee, P. P., Kaur, I., Dash, S., & Nayak, S. (2018). Analysing the critical success factors for implementation of sustainable supply chain management: An Indian case study. Decision, 45(1), 3–25. https://doi.org/10.1007/s40622-017-0171-7
Ripple, W. J., Wolf, C., Newsome, T. M., Barnard, P., & Moomaw, W. R. (2020). World scientists’ warning of a climate emergency. BioScience, 70(1), 8–12. https://doi.org/10.1093/biosci/biz088
Romo-Cabrera, W. A., & Agudelo-Suárez, A. A. (2022). A comprehensive mixed methods approach for studying the quality of life of Colombian periodontists. International Journal of Environmental Research and Public Health, 19(23). https://doi.org/10.3390/ijerph192316102
Rothenberg, S. (2007). Sustainability through servicizing. MIT Sloan Management Review, 48(2), 83–91.
Saldaña, J. (2013). The coding manual for qualitative researchers. Sage Publications, Inc.
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
Schumacker, R. E., & Lomax, R. G. (2010). A Beginner’s Guide to Structural Equation Modelling, 3rd ed. Routledge.
Seawright, J., & Gerring, J. (2008). Case selection techniques in case study research: A menu of qualitative and quantitative options. Political Research Quarterly, 61(2), 294–308. https://doi.org/10.1177/106591290731
Seuring, S. A. (2008). Assessing the rigor of case study research in supply chain management. Supply Chain Management, 13(2), 128–137. https://doi.org/10.1108/13598540810860967
Seuring, S. (2011). Supply chain management for sustainable products - insights from research applying mixed methodologies. Business Strategy and the Environment, 20(7), 471–484. https://doi.org/10.1002/bse.702
Seuring, S., & Müller, M. (2008). From a literature review to a conceptual framework for sustainable supply chain management. Journal of Cleaner Production, 16, 1699–1710. https://doi.org/10.1016/j.jclepro.2008.04.020
Shafiq, A., Klassen, R. D., Johnson, P. F., & Awaysheh, A. (2014). Socially responsible practices: An exploratory study on scale development using stakeholder theory. Decision Sciences, 45(4), 683–716. https://doi.org/10.1111/deci.12085
Singh, A., & Trivedi, A. (2016). Sustainable green supply chain management: trends and current practices. Competitiveness Review, 26(3), 265–288. https://doi.org/10.1108/cr-05-2015-0034
Srivastava, S. K. (2007). Green supply-chain management: A state-of-the-art literature review. International Journal of Management Reviews, 9(1), 53–80. https://doi.org/10.1111/j.1468-2370.2007.00202.x
Suizzo, M. A., Jackson, K. M., Pahlke, E., McClain, S., Marroquin, Y., Blondeau, L. A., & Hong, K. J. (2016). Parents’ school satisfaction and academic socialization predict adolescents’ autonomous motivation: A mixed-method study of low-income ethnic minority Families. Journal of Adolescent Research, 31(3), 343–374. https://doi.org/10.1177/0743558415605617
Tandoc, E. C., Lim, D., & Ling, R. (2020). Diffusion of disinformation: How social media users respond to fake news and why. Journalism, 21(3), 381–398. https://doi.org/10.1177/1464884919868325
Tashakkori, A. & Teddlie, C. (2010). SAGE Handbook of Mixed Methods in Social & Behavioral Research. SAGE Publications, Inc., Thousand Oaks. https://doi.org/10.4135/9781506335193
Taylor, E. (2020). We agree, don’t we? The Delphi method for health environments research. HERD: Health Environments Research & Design Journal, 13(1), 11–23. https://doi.org/10.1177/1937586719887709
Tidd, J., Bessant, J., & Pavitt, K. (2005). Managing innovation integrating technological, market and organizational change. John Wiley and Sons Ltd.
Touboulic, A., & Walker, H. (2015). Theories in sustainable supply chain management: a structured literature review. International Journal of Physical Distribution & Logistics Management, 45(1/2), 16–42. https://doi.org/10.1108/IJPDLM-05-2013-0106
Triantaphyllou, E. (2000). Multi-criteria decision-making methods. In: Multi-criteria decision-making methods: A comparative study (pp. 5-21). Springer, Boston, MA.
Um, K. H., & Kim, S. M. (2018). The effects of supply chain collaboration on performance and transaction cost advantage: The moderation and nonlinear effects of governance mechanisms. International Journal of Production Economics, February 2017, 1–15. https://doi.org/10.1016/j.ijpe.2018.03.025
Winter, M., & Knemeyer, A. M. (2013). Exploring the integration of sustainability and supply chain management. International Journal of Physical Distribution & Logistics Management, 43(1), 18–38. https://doi.org/10.1108/09600031311293237
Yam, C. H. K., Griffiths, S. M., & Yeoh, E. K. (2020). What helps and hinders doctors in engaging in continuous professional development? An explanatory sequential design. PLoS ONE, 15(8). https://doi.org/10.1371/journal.pone.0237632
Yin, R. K. (2017). Case study research and applications: Design and methods, 6th ed. Thousand Oaks, CA: Sage Publications, Inc.
Zailani, S., Jeyaraman, K., Vengadasan, G., & Premkumar, R. (2012). Sustainable supply chain management (SSCM) in Malaysia: A survey. International Journal of Production Economics, 140(1), 330–340. https://doi.org/10.1016/j.ijpe.2012.02.008
Zhou, F., Wang, X., Lim, M. K., He, Y., & Li, L. (2018). Sustainable recycling partner selection using fuzzy DEMATEL-AEW-FVIKOR: A case study in small-and-medium enterprises (SMEs). Journal of Cleaner Production, 196, 489–504. https://doi.org/10.1016/j.jclepro.2018.05.247
Esta obra está bajo una licencia internacional Creative Commons Atribución 4.0.