<p>The United Nations’ Sustainable Development Goals (SDGs) create a global framework for companies seeking to meet diverse sustainability challenges. Small and medium-sized enterprises’ (SMEs) socioeconomic importance makes their implementation of sustainability initiatives and a strategic orientation toward long-term sustainability quite crucial. This study focuses on creating a multi-criteria decision support analysis system to identify internal initiatives that can improve sustainable entrepreneurship (SE) indices. A mixed-method approach is applied based on cognitive mapping and decision making trial and evaluation laboratory (DEMATEL) technique to cover qualitative and quantitative aspects. The results clarify the causal relationships between six clusters labeled as follows: <i>Technology and Equipment</i>; <i>Collaborative Governance</i>; <i>Social Practices and Community</i>; <i>Environmental Initiatives</i>; <i>Innovation and Entrepreneurship</i>; and <i>Training and Human Capital</i>. Key initiatives that improve SE indices comprise adopting technologically advanced tools, stimulating companies to implement good practices and rewarding good performance, valorizing assets and resources in the regions where companies operate, defining and monitoring environmental goals, enlisting in financial support programs, and concentrating on employees’ quality of life. The findings provide theoretical and practical insights into which strategies significantly promote long-term sustainability. To strengthen the results of the cognitive mapping and DEMATEL analysis, we propose the use of multi-objective programming (MOP) and goal programming (GP) models. These models can help establish objectives that focus on technological advancement, promote best practices, recognize high performance, utilize endogenous resources effectively, define and monitor environmental goals, ensure access to financial support, and enhance employees’ quality of life. Limitations and future research directions are also presented.</p>

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Enhancing sustainable entrepreneurship in SMEs: a multi-criteria analysis of internal initiatives and their causal relationships

  • Neuza C. M. Q. F. Ferreira,
  • João J. M. Ferreira

摘要

The United Nations’ Sustainable Development Goals (SDGs) create a global framework for companies seeking to meet diverse sustainability challenges. Small and medium-sized enterprises’ (SMEs) socioeconomic importance makes their implementation of sustainability initiatives and a strategic orientation toward long-term sustainability quite crucial. This study focuses on creating a multi-criteria decision support analysis system to identify internal initiatives that can improve sustainable entrepreneurship (SE) indices. A mixed-method approach is applied based on cognitive mapping and decision making trial and evaluation laboratory (DEMATEL) technique to cover qualitative and quantitative aspects. The results clarify the causal relationships between six clusters labeled as follows: Technology and Equipment; Collaborative Governance; Social Practices and Community; Environmental Initiatives; Innovation and Entrepreneurship; and Training and Human Capital. Key initiatives that improve SE indices comprise adopting technologically advanced tools, stimulating companies to implement good practices and rewarding good performance, valorizing assets and resources in the regions where companies operate, defining and monitoring environmental goals, enlisting in financial support programs, and concentrating on employees’ quality of life. The findings provide theoretical and practical insights into which strategies significantly promote long-term sustainability. To strengthen the results of the cognitive mapping and DEMATEL analysis, we propose the use of multi-objective programming (MOP) and goal programming (GP) models. These models can help establish objectives that focus on technological advancement, promote best practices, recognize high performance, utilize endogenous resources effectively, define and monitor environmental goals, ensure access to financial support, and enhance employees’ quality of life. Limitations and future research directions are also presented.