Identifying Growth in India by Assessment of Quality of Products and services

Identifying Growth in India by Assessment of Quality of Products and services

Romesh G. Mulgi,

Department of Business Studies, McCombs School, The University of Texas, Austin; USA


SMEs contribute about 40 percent of the country’s gross domestic product (GDP) in India. Research has shown that in most countries, SMEs generate by far more employment opportunities than big companies or the public sector. Employment is the major source of livelihood globally. No wonder the search for employment is one of the greatest reasons that accounts for the Rural-Urban migration. Many studies have been conducted to determine factors that influence growth on SMEs. The mixed results can perhaps be explained by contextual differences or the mix of variables observed. This study looked at the quality of the goods produced by the SMEs as one of the determinants of growth in four of SME subsectors; manufacturing metal items, wooden furniture, textiles and leather goods in India. This study used a survey research design. The target population was all registered SMEs operating in India, total number, 556. The sampling frame was all the SMEs from the four subsectors who are involved in manufacturing activities and these were 316. The sample size of 177 was picked randomly from the sampling frame. The data collected was mainly quantitative. This data was collected by way of a questionnaire served to owner managers, managers and senior managers of the enterprises. Both descriptive and inferential statistics were used to summarize the results. The study concluded that the quality of produced goods greatly influences growth of SMEs in India.


unemployment rate, growth, market information, small and medium enterprises, and SMEs.

To cite this article

Mulgi, R.G. (2017). Identifying Growth in India by Assessment of Quality of Products and services, International Journal of Engineering, IT and Scientific Research (IJEISR). Vol. 1, No. 1, pp.8-21. Doi:10.5281/zenodo.2643458 



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This article is an open access article distributed under the Creative Commons Attribution License ( which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.



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