Author:
Bulak Muhammet Enis,Turkyilmaz Ali,Satir Metin,Shoaib Muhammad,Shahbaz Muhammad
Abstract
Purpose
The purpose of this paper is to concentrate on measuring and evaluating the performance efficiency of electrical machinery manufacturing small- and medium-sized enterprises (SMEs) in Turkey. The industry-based efficiency evaluation provides management with information including the relatively best practice firms in the observation sets and locates the relatively inefficient firms by comparing with the frontiers.
Design/methodology/approach
In this study, an evaluation model, based on previous literature and recent industry SWOT analysis, is proposed to carry out efficiency analysis for electrical machinery manufacturing SMEs and output-oriented CCR data envelopment analysis methodology is used to find out frontier SMEs. The proposed efficiency measurement model is used for 93 SMEs from electrical machinery manufacturing sector.
Findings
Rely on the model results, efficiency score of the firms are compared and enhancements required for becoming an efficient unit are denoted. This study is based on previous research model that was carried out for ten different industries. The results indicated that 39 out of 93 companies efficiently performed in general perspective. The analysis also resulted that firms have significant resource excesses and shortages on outputs.
Originality/value
The distinguished way of this study is to evaluate Turkish electrical machinery manufacturing companies’ resources relying on performance efficiency model that compromises of strategic competitive priorities and also the model provides enhancement opportunities to SMEs for being more competitive in the sector. The characteristics features of the firms are offered with respect to demographic, financial and quality perspectives.
Subject
Business and International Management,Strategy and Management
Reference90 articles.
1. A note on DEA models in technology selection: an improvement of Karsak and Ahiska’s approach;International Journal of Production Research,2007
2. Argyropoulou, M., Sharma, M.K., Bhagwat, R., Lazarides, T., Koufopoulos, D.N. and Ioannou, G. (2010), “Measuring supply chain performance in SMEs”, in Gunasekaran, A. and Sandhu, M. (Eds), Handbook on Business Information Systems, World Scientific Publishing Co. Pte. Ltd., Singapore, pp. 699-715.
3. Competitive priorities and competitive advantage in Jordanian manufacturing;Journal of Service Science and Management,2013
4. An adaptive network-based fuzzy inference system-data envelopment analysis algorithm for optimization of long-term electricity consumption. Forecasting and policy analysis: the case of seven industrialized countries, energy sources;Economics, Planning, and Policy,2013
5. Measuring the efficiency of customer satisfaction and loyalty for mobile phone brands with DEA;Expert Systems with Applications,2012
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