{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,11]],"date-time":"2026-03-11T03:19:05Z","timestamp":1773199145332,"version":"3.50.1"},"reference-count":60,"publisher":"Emerald","issue":"5","license":[{"start":{"date-parts":[[2014,6,3]],"date-time":"2014-06-03T00:00:00Z","timestamp":1401753600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.emerald.com\/insight\/site-policies"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2014,6,3]]},"abstract":"\n Purpose<\/jats:title>\n \u2013 The purpose of this paper is to measure and evaluate the performance efficiency of manufacturing small and medium enterprises (SMEs) in Turkey. The industry-based efficiency evaluation provides management with information regarding the relatively best practice sectors in the observation sets and locates the relatively inefficient sectors by comparing with the best practiced ones. <\/jats:p>\n <\/jats:sec>\n \n Design\/methodology\/approach<\/jats:title>\n \u2013 In this study, an evaluation model is constructed to come up with efficiency analysis for manufacturing SMEs and output-oriented CCR data envelopment analysis approach is utilized to figure out best practiced SMEs. The proposed efficiency measurement model is utilized for 744 SMEs from ten different sectors. Based on the efficiency results, efficiency score of the studied sectors are compared and improvements needed for becoming an efficient unit are reported. <\/jats:p>\n <\/jats:sec>\n \n Findings<\/jats:title>\n \u2013 The results showed that 94 companies efficiently performed in general perspective. The analysis also revealed that \u201cWearing Apparel, Dressing and Dyeing of Fur\u201d and \u201cChemicals and Chemical Products\u201d manufacturing sectors were found to be the inefficient of the overall usage of strategic competitive priorities. <\/jats:p>\n <\/jats:sec>\n \n Originality\/value<\/jats:title>\n \u2013 Based on the previous literature, this study brings more recent perspectives such as service activities and financial power to the four main competitive priorities of cost, quality, flexibility and delivery. The variables used in this study are as follows: Proximity to Market, Ability to Control Costs, Potential Labor Force, Product Quality, Prompt Advantage, Certification, Product Assortment, Distribution Channel, Pricing Policy, Service, Capital, Machinery-Equipment Track, Profit Margin and Market Share.<\/jats:p>\n <\/jats:sec>","DOI":"10.1108\/imds-11-2013-0475","type":"journal-article","created":{"date-parts":[[2014,6,5]],"date-time":"2014-06-05T12:30:14Z","timestamp":1401971414000},"page":"797-816","source":"Crossref","is-referenced-by-count":37,"title":["Performance assessment of manufacturing SMEs: a frontier approach"],"prefix":"10.1108","volume":"114","author":[{"given":"Muhammet","family":"Enis Bulak","sequence":"first","affiliation":[]},{"given":"Ali","family":"Turkyilmaz","sequence":"additional","affiliation":[]}],"member":"140","reference":[{"key":"key2020123105200317500_b1","doi-asserted-by":"crossref","unstructured":"Bayraktar, E.\n , \n Tatoglu, E.\n , \n Turkyilmaz, A.\n , \n Delen, D.\n and \n Zaim, S.\n (2012), \u201cMeasuring the efficiency of customer satisfaction and loyalty for mobile phone brands with DEA\u201d, Expert Systems With Applications, Vol. 39 No. 1, pp. 99-106.","DOI":"10.1016\/j.eswa.2011.06.041"},{"key":"key2020123105200317500_b2","doi-asserted-by":"crossref","unstructured":"Brophey, G.\n and \n Brown, S.\n (2009), \u201cInnovation practices within small to medium-sized mechanically based manufacturers\u201d, Innovation: Management, Policy & Practice, Vol. 11 No. 3, pp. 327-340.","DOI":"10.5172\/impp.11.3.327"},{"key":"key2020123105200317500_b3","doi-asserted-by":"crossref","unstructured":"Burgess, T.F.\n , \n Gules, H.K.\n , \n Gupta, J.N.D.\n and \n Tekin, M.\n (1998), \u201cCompetitive priorities, process innovations and time-based competition in the manufacturing sectors of industrialising economies: the case of Turkey\u201d, Benchmarking for Quality Management & Technology, Vol. 5 No. 4, pp. 304-316.","DOI":"10.1108\/14635779810244478"},{"key":"key2020123105200317500_b4","doi-asserted-by":"crossref","unstructured":"Charnes, A.\n , \n Cooper, W.W.\n and \n Rhodes, E.\n (1978), \u201cMeasuring the efficiency of decision making units\u201d, European Journal of Operations Research, Vol. 2 No. 6, pp. 429-444.","DOI":"10.1016\/0377-2217(78)90138-8"},{"key":"key2020123105200317500_b5","doi-asserted-by":"crossref","unstructured":"Chen, W.\n (1999), \u201cThe manufacturing strategy and competitive priority of SMEs in Taiwan: a case study\u201d, Asia Pacific Journal of Management, Vol. 16 No. 3, pp. 331-349.","DOI":"10.1023\/A:1015408114144"},{"key":"key2020123105200317500_b6","doi-asserted-by":"crossref","unstructured":"Chi, T.\n , \n Kilduff, P.P.D.\n and \n Gargeya, V.B.\n (2009), \u201cAlignment between business environment characteristics, competitive priorities, supply chain structures, and firm business performance\u201d, International Journal of Productivity and Performance Management, Vol. 58 No. 7, pp. 645-669.","DOI":"10.1108\/17410400910989467"},{"key":"key2020123105200317500_b7","doi-asserted-by":"crossref","unstructured":"Cleveland, G.\n , \n Schroeder, R.G.\n and \n Anderson, J.C.\n (1989), \u201cA theory of production competence\u201d, Decision Sciences, Vol. 20 No. 4, pp. 655-668.","DOI":"10.1111\/j.1540-5915.1989.tb01410.x"},{"key":"key2020123105200317500_b8","doi-asserted-by":"crossref","unstructured":"Corbett, C.\n , \n Wassenhove, L.V.\n and \n Constance, B.\n (1993), \u201cTrade-offs? 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