Title: Using data envelopment analysis to investigate the performance of industrial clusters to utilise resources
Authors: Abdorrahman Haeri; Seyed Mojtaba Moussavi Neghabi; Gholamreza Soleimani; Morteza Anoosheh
Addresses: Department of Industrial Engineering, Iran University of Science and Technology (IUST), University Road, Hengam Street, Resalat Square, Narmak, Tehran, Iran ' Department of Marketing, Faculty of Management, University of Tehran, Adjacent Paul Nasr (Geisha), North Kargar, Tehran, Iran ' Iran Small Industries and Industrial Parks Organization (ISIPO), No. 10, Niroye Entezami Ave., Shahid Khodami Ave., Vanak Square, Tehran, Iran ' Department of Marketing, Faculty of Management, University of Tehran, Adjacent Paul Nasr (Geisha), North Kargar, Tehran, Iran
Abstract: Industrial clusters use different resources to realise their desired performance. Managers and decision makers tend to know how clusters use resources to create outputs and products and which of them efficiently/non-efficiently utilise input resources. In this study some of the industrial clusters in different business sections ('handicrafts', 'food', 'construction' and 'manufacturing') have been considered. For each cluster, 'technology', 'human resources skill' and 'work environment' are supposed as input resources. In addition, 'production capability' and 'products quality' are considered as output factors. Basic CCR DEA model has been applied to calculate the efficiency factors for two approaches. First, all input resources have been considered and the efficiency factors of the industrial clusters have been attained to show which of them efficiently or non-efficiently utilise inputs. Afterwards, input resources have been investigated individually to indicate which cluster efficiently or non-efficiently use each input resources ('technology', 'human resources skill' and 'work environment').
Keywords: industrial clusters; performance evaluation; data envelopment analysis; DEA; technology; human resources skills; work environment; resource utilisation; production capability; product quality.
International Journal of Productivity and Quality Management, 2015 Vol.16 No.2, pp.169 - 182
Received: 08 May 2021
Accepted: 12 May 2021
Published online: 18 Aug 2015 *