Dynamic DEA with network structure: A slacks-based measure approach

Tone, Kaoru; Tsutsui, Miki

doi:10.1016/j.omega.2013.04.002

Cited by 566 publications

(378 citation statements)

References 20 publications

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“…The traditional DEA model is unable to accurately capture the efficiency of OSS projects with such complex processes. This is because the model regards the process between input and output as a black box [10]. Therefore, it is necessary to apply the expanded DEA model to take into account the internal processing mechanism of OSS projects.…”

Section: Background and Literature Reviewmentioning

confidence: 99%

What Is Needed for the Sustainable Success of OSS Projects: Efficiency Analysis of Commit Production Process via Git

Song¹,

Kim²

2018

Sustainability

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Abstract:The purpose of this study is to investigate the relative efficiency of open source software projects, and to analyze what is needed for their sustainable success. The success of open source software is known to be attributable to a massive number of contributors engaging in the development process. However, an efficient open source software project is not guaranteed simply by active participation by many; a coordination mechanism is needed to seamlessly manage the multi-party collaboration. On this basis, this study aimed to examine the internal regulatory processes based on Git and GitHub, which serve as such a mechanism, and redefine the efficiency of open source software projects to fully reflect them. For this purpose, a two-stage data envelopment analysis was used to measure the project efficiency reflecting the internal processes. Moreover, this study considered the Kruskal-Wallis test and Tobit regression analysis to examine the effects of the participation by many on an open source software project based on the newly defined efficiency. Results show that a simple increase in contributors can be poisonous in terms of the efficiency of open source software projects.

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Section: Background and Literature Reviewmentioning

confidence: 99%

What Is Needed for the Sustainable Success of OSS Projects: Efficiency Analysis of Commit Production Process via Git

Song¹,

Kim²

2018

Sustainability

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“…To evaluate the original performance of the provincial low-carbon economy, this paper uses the dynamic Malmquist index [49] to calculate the TFP considering the intertemporal effect [50] of physical capital. The evaluation by Malmquist proposed a best-practice frontier and decomposed the performance into different efficiencies that represent the technology efficiency changes (TEC) and the technical changes (TC) [51].…”

Section: First Stage: Dynamic Malmquist Calculationmentioning

confidence: 99%

Low Carbon Economy Performance Analysis with the Intertemporal Effect of Capital in China

Zhao

Zhong

2017

Sustainability

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Abstract:The "New Normal" of Chinese economy represents the importance of economic performance. To analyze the provincial performance of the low-carbon economy in China, this paper constructed a three-stage dynamic Malmquist model considering the evolutionary promotion of productivity and technical progress. This paper incorporates the lag effect of capital accumulation into the performance evaluation to ensure transitivity and continuity. Furthermore, the inefficiency of the low-carbon economy arises from the disadvantages of resources endowments; therefore, it is necessary to eliminate these to evaluate managerial performance. This paper not only evaluates the provincial performance of the low-carbon economy but also suggests the sources and impetus of regional low-carbon economy development to find feasible transition paths. The empirical results reveal that the performance of the low-carbon economy presents a gradient distribution with obvious distinctions among the eastern, central, and western regions. Tianjin and Hebei should emphasize the optimal allocation of their own resources. Jiangxi and Hunan, by contrast, should focus on the perfection of the resources endowments.

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“…For the first time, Färe and Grosskopf [12] proposed dynamic DEA model. Tone and Tsutsui [13] combined network DEA in a dynamic context and proposed a network dynamic DEA model based on slacks-based measure (SBM) approach. They named each period and each division efficiencies as "term" and "divisional" efficiencies, respectively.…”

Section: Introductionmentioning

confidence: 99%

“…Shabanpour et al [61] utilized dynamic DEA and artificial neural networks to evaluate past, present, and future efficiency of green supply chains. Tone and Tsutsui [13] combined network and dynamic DEA models and proposed network dynamic DEA model.…”

mentioning

confidence: 99%

Sustainability Assessment of Supply Chains by Inverse Network Dynamic Data Envelopment Analysis

2017

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This paper focuses on assessing sustainability of supply chains. In this paper, at first, we propose network dynamic range adjusted measure (RAM) model. Then, inverse version of network dynamic RAM model is proposed. Our inverse network dynamic data envelopment analysis (DEA) model changes both inputs and outputs of decision making units (DMUs) so that current efficiency scores of DMUs remain unchanged. We change inputs and outputs without any change in efficiency score of DMU under evaluation while inputs and outputs may have large ranges. A case study shows efficacy of our proposed model.

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Dynamic DEA with network structure: A slacks-based measure approach

Cited by 566 publications

References 20 publications

What Is Needed for the Sustainable Success of OSS Projects: Efficiency Analysis of Commit Production Process via Git

What Is Needed for the Sustainable Success of OSS Projects: Efficiency Analysis of Commit Production Process via Git

Low Carbon Economy Performance Analysis with the Intertemporal Effect of Capital in China

Sustainability Assessment of Supply Chains by Inverse Network Dynamic Data Envelopment Analysis

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