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Evaluating Competitiveness in the Supply Chain Management of Small and Medium Scale Enterprises

This research investigated Supply Chain Management (SCM) in Small and Medium Enterprises (SMEs) in Thailand, Slovakia, and Poland and compared the SCM practices among the three countries. The sole purpose was to first determine the various factors that influence SCM operations and SCM practices in each of the countries and then find out whether there is a difference among the three countries in terms of SCM operations and practices. The study was conducted using primary data collected from SME management personnel from the three countries. A structured questionnaire was used to collect the data using a 5-point Likert scale. The data was analyzed using multi-group Structural Equation Modeling (SEM). The results of the study indicated that supply chain management practices and operations adopted by the small and medium enterprises in Thailand, Slovakia, and Poland were invariant. The environmental sustainability elements in SCM and the social aspects of sustainability in SCM have positively influenced SCM practices in all countries. The study recommended that SMEs in the countries should consider adopting the factors that support SCM, operationalizing the SCM through enhancing the capabilities of the end-user, and vitally taking into consideration the environmental sustainability elements in SCM, such as environmentally-friendly production processes, taking action towards waste management, and adopting production processes that inhibit the emission of harmful substances into the atmosphere by encouraging the implementation of policies that foster the use of renewable energy sources in production.
HF5001-6182, Scale (ratio), Economics, Strategy and Management, Macroeconomics, Social Sciences, Structural equation modeling, Sustainable Supply Chain Management, Supply Chain Network Design, Business, Production (economics), Operationalization, Supply chain management, Industrial organization, supply chain management, Marketing, competitiveness, Ecology, Physics, Statistics, FOS: Philosophy, ethics and religion, Operations management, Sustainability, multi-group analysis, small and medium enterprises, Environmental economics, Business, Management and Accounting, Epistemology, Quantum mechanics, FOS: Economics and business, Machine learning, FOS: Mathematics, Conceptualizing the Circular Economy and Sustainable Supply Chains, Biology, Likert scale, Supply chain, Computer science, Philosophy, scm enablers, FOS: Biological sciences, Process management, Mathematics, Finance, Small and medium-sized enterprises
HF5001-6182, Scale (ratio), Economics, Strategy and Management, Macroeconomics, Social Sciences, Structural equation modeling, Sustainable Supply Chain Management, Supply Chain Network Design, Business, Production (economics), Operationalization, Supply chain management, Industrial organization, supply chain management, Marketing, competitiveness, Ecology, Physics, Statistics, FOS: Philosophy, ethics and religion, Operations management, Sustainability, multi-group analysis, small and medium enterprises, Environmental economics, Business, Management and Accounting, Epistemology, Quantum mechanics, FOS: Economics and business, Machine learning, FOS: Mathematics, Conceptualizing the Circular Economy and Sustainable Supply Chains, Biology, Likert scale, Supply chain, Computer science, Philosophy, scm enablers, FOS: Biological sciences, Process management, Mathematics, Finance, Small and medium-sized enterprises
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).5 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10%
