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Sustainability performance analysis of small and medium sized enterprises: Criteria,methods and framework
Institution:4. Operation Management and Supply Chain Management, Essex Business School, University of Essex, CO4 3SQ, Southend-on-Sea, UK
Abstract:Small and medium sized enterprises (SMEs) play an important role in any economy as they contribute to GDP and employment. However, sustainability (right combination of economic, environmental and social) of SMEs is a major concern as they prioritize economic performance over environmental and social to remain competitive. Majority of prior researches on SMEs' sustainability either look at the impact of a few limited enablers (e.g. lean, green, innovation etc.) on sustainability performance or the effect of pressures and barriers on the sustainability performance. There is a clear gap of a holistic and robust framework for sustainability performance analysis in order to measure and improve sustainability performance. This research bridges this knowledge gap by addressing two research questions – what practice and performance criteria are being considered for sustainability performance analysis in a broad environmental, economic and social context, how are they related, and what methods are being used to derive the relationship between sustainability practices and performance. These research questions are addressed through a systematic literature review of 58 papers, published between 2005 and 2018 in leading journals. First, an objective content analysis is undertaken in order to identify sustainability practices and performance criteria along with their frequency of usage in prior research. Second, the correlation among the variables is studied. Third, the methods for analyzing the relationships of the criteria are identified. Finally, a framework for analysing correlation of SMEs’ sustainability practices and performance in order to measure and improve performance using statistical modeling approach is proposed.
Keywords:Sustainability  Practices  Drivers  Performance  Small and medium enterprises  Statistical modeling  Literature review
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