Measuring retail productivity of food &amp; grocery retail outlets using the DEA technique

Gupta, Akanksha; Mittal, Sanjiv

doi:10.1080/09652540903537055

Cited by 24 publications

(19 citation statements)

References 28 publications

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“…Barros and Alves [1] measured the efficiency of 47 chain stores in Portuguese hypermarkets. There have been other efficiency studies for retailers in Spain, the US, and India [6][7][8][9]. Table 1 shows early stage studies that used DEA to measure chain store efficiency and analyze the results.…”

Section: Literature Reviewsmentioning

confidence: 99%

“…This was used as an input variable for assortment in Keh and Chu [5], and Gupta and Mittal [8] said that the decision regarding the number of SKUs at one particular store played a very important role in store performance.…”

Section: Input/output Measuresmentioning

confidence: 99%

“…Sales revenue was used as an output variable in all previous studies [1,[3][4][5][6][7][8][9][10][11][12][13][14][15] and is one of the most important KPIs in most companies. In this study, the daily average sales revenue was used.…”

Section: Input/output Measuresmentioning

confidence: 99%

“…There have been several studies on efficiency in the retail industry using DEA, which can be divided into two types. One is measuring efficiency using DEA and discussing the results [1,[3][4][5][6][7][8][9], and the other is measuring efficiency using DEA and then analyzing factors that affect the results [10][11][12][13][14][15]. Previous studies on intra-chain comparative store efficiency mostly follow the former case [1,3,[5][6][7][8][9] and only a few studies have analyzed the factors of efficiency [4,14].…”

Section: Introductionmentioning

confidence: 99%

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Efficiency Analysis of Retail Chain Stores in Korea

Chang

Bae

et al. 2017

Sustainability

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In today's low-growth business environment, efficiency management is becoming more important to improve corporate sustainability. In a chain store, the efficiency of individual stores must be well managed to improve the efficiency of the entire enterprise. To do this, it is important to measure the efficiency of individual stores and to find factors that affect efficiency. The main purpose of this study is to find out the factors affecting the efficiency of chain stores and to analyze the results to find out the implications that contribute to an improvement in efficiency. We measured the relative efficiency of individual stores using data envelopment analysis (DEA) and analyzed the factors that affect efficiency with the Tobit regression model. As a result, we found that the number of items per employee and a competitive environment influence the efficiency of stores. An excessive number of items may cause efficiency to be lowered. Therefore, it is necessary to manage the life cycle of the product, considering the trade-off between assortment and efficiency. Competition helps to improve efficiency to some extent, but too much competition can reduce efficiency.

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Section: Literature Reviewsmentioning

confidence: 99%

Section: Input/output Measuresmentioning

confidence: 99%

Section: Input/output Measuresmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Efficiency Analysis of Retail Chain Stores in Korea

Chang

Bae

et al. 2017

Sustainability

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“…Niven (2002) stated that the performance measurement methods were widely adopted in many industries. There are several Data Envelopment Analysis (DEA) applications, such as Technology (Chang, Chen 2008), health care (Wilson et al 2012;Assaf, Matawie 2010), education (Kong, Fu 2012;Tommaso 2011), manufacturing (Fukuyama, Mirdehghan 2012;Sun 2002), retailing (Akanksha, Sanjiv 2010;Lu, Hung 2011), banking (Paradi, Zhu 2013), etc. The previous studies mostly focused on assessing efficiency and providing suggestions for improvements but did not involve extensive economic analysis.…”

Section: Introductionmentioning

confidence: 99%

A Study for Sustainable Development in Optoelectronics Industry Using Multiple Criteria Decision Making Methods

Liu

Cheng

Chen

2015

Technological and Economic Development of Economy

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Abstract. This study assessed the operational efficiency of the optoelectronics industry in the Southern Taiwan Science Park (STSP) between 2007 and 2011 by using multiple criteria decision making methods (data envelopment analysis, Malmquist productivity index and Bootstrap). The data analysis showed that during the study period, meaning that the operational efficiency gap among manufacturers in STSP is widening. Among these manufacturers, eight manufacturers exhibited constant returns to scale, which was more than a half of the overall decision making unit (DMU), indicating that the operational scale of these manufacturers was nearing the optimal scale. Based on Malmquist productivity index (MPI) analysis, the factors that affect the operational efficiencies of optoelectronics manufacturers' were as follow: operational cost, the number of employees, and the amount of fixed assets. The development should be focused on increasing technological efficiency and technological change in the future. Finally, based on Bootstrap, the results showed that the focus should be on the production technology while improving productive efficiency to ensure sustainable development of the entire domestic optoelectronics industry in the future.

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