Past-present-future Intertemporal DEA models

Chang, Tsung‐Sheng; Tone, Kaoru; Wu, Chen-Hui

doi:10.1057/jors.2013.139

Cited by 16 publications

(10 citation statements)

References 22 publications

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“…Res. 25 (2018) 469-505 Färe andGrosskopf (1996) Färe (1988) T/P Nemoto and Goto (1999) -T Sengupta (1999) Sueyoshi (1992); Sengupta (1994) T/P Jaenicke (2000) Banker (1993,1996); Färe andGrosskopf (1996) P Nemoto andGoto (2003) Färe and Grosskopf (1996); Nemoto and Goto (1999) T/P Silva and Stefanou (2003) Varian ( Goto (1999, 2003) T/P Chen (2012) Luenberger (1992); Fukuyama and Weber (2009) T/P Jafarian-Moghaddam and Ghoseiri (2012) Goto (1999, 2003) T/P Reshadi (2012) Färe and Grosskopf (1996); Nemoto and Goto (1999) T Reshadi and Espahi (2012) Goto (1999, 2003 (2015) Tone and Tsutsui (2014) P Chang et al (2015) Tone and Tsutsui (2010) T/P Chao et al (2015) Tone and Tsutsui (2014) P Fukuyama and Weber (2015) Färe and Grosskopf (1996) Mariz et al / Intl. Trans.…”

Section: Evolution Of the Ddea Literaturementioning

confidence: 99%

A review of Dynamic Data Envelopment Analysis: state of the art and applications

Mariz

Almeida

Aloise

2017

Int Trans Operational Res

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This article reports the evolution of the literature on Dynamic Data Envelopment Analysis (DDEA) models from 1996 to 2016. Systematic searches in the databases Scopus and Web of Science were performed to outline the state of the art. The results enabled the establishment of DDEA studies as the scope of this article, analyzing the transition elements to represent temporal interdependence. The categorization of these studies enabled the mapping of the evolution of the DDEA literature and identification of the relationships between models. The three most widely adopted studies to conduct DDEA research were classified as structuring models. Mapping elucidated the literature behavior through three phases and showed an increase in publications with applications in recent years. The analysis of applications indicated that most studies address evaluations in the agriculture and farming, banking and energy sectors and consider the facilities as transition elements between analysis periods.

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Section: Evolution Of the Ddea Literaturementioning

confidence: 99%

A review of Dynamic Data Envelopment Analysis: state of the art and applications

Mariz

Almeida

Aloise

2017

Int Trans Operational Res

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“…The realized and expected transaction costs are shown in Appendix 3. Fourth, following Chang et al (2015) , we treat a textile company's total assets as carry-over activities that connect two consecutive periods. Total assets can be classified into free carry-over and fixed carry-over, in which free carry-over represents the current assets that a company expects to convert to cash or use up within one year.…”

Section: Empirical Studymentioning

confidence: 99%

Nested dynamic network data envelopment analysis models with infinitely many decision making units for portfolio evaluation

Chang

Tone

2021

European Journal of Operational Research

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Highlights We develop nested dynamic network DEA models to measure a portfolio's efficiency. We measure the multi-period efficiency of a portfolio and its comprised assets. Target portfolio is benchmarked against all other possible portfolios. A CVaR optimization problem is included. A two-stage method is proposed to help investors construct their desired portfolios.

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“…The third type of model is multi-dimensional, black box, and dynamic (12.7%). Despite their internal structures are time-invariant, they intend to measure changes in productivity over time, assuming there is no intertemporal dependency between inputs and outputs (Chang et al, 2015;Emrouznejad & Thanassoulis, 2005;Gralka, 2018). To reach this goal, these models use the Malmquist productivity index, and do rarely use others such as the Hicks-Moorsteen productivity factor or the Luenberger indicator.…”

Section: Structure Of the Modelsmentioning

confidence: 99%

“…Other forms of modeling correspond to dynamic network-based models that evaluate several periods, assuming that the production process follows a time sequence (i.e., there is intertemporal dependence between inputs and outputs). Examples of the latter models would be those by Färe & Grosskopf (1997), who have pioneered dynamic DEA models, the Tone & Tsutsui model ( 2014), or the intertemporal DEA model proposed by Chang et al (2015).…”

Section: Structure Of the Modelsmentioning

confidence: 99%

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2021

JEMI

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The JOURNAL OF ENTREPRENEURSHIP, MANAGEMENT AND INNOVATION is an interdisciplinary, double blind-reviewed journal, emphasizing theoretical and empirical articles in entrepreneurship, management, innovation and related fields. The journal is published both in printed form and on-line at www.jemi.edu.pl. THE ENTREPRENEURSHIP AREA OF THE JOURNALThe entrepreneurship area of the journal covers the three major topics: 1) venture creation and small business, 2) the impact of entrepreneurship on economic growth including local and regional development, and 3) entrepreneurial attitudes and motives. We invite original papers of theoretical and empirical nature, rooted in the disciplines of economics, management, sociology, political science, and psychology. The interdisciplinary research is encouraged to assure a comprehensive approach to the topics discussed and to advance both theory and practice. THE MANAGEMENT AREA OF THE JOURNALManagement, as a thematic scope of the journal, focuses on theoretical and empirical considerations of various areas, such as: strategic management, operation or production management, human resource management, information and management, contemporary management problems, new methods and management tools, new forms of organization and management, new threats in management, or new challenges in the organization's environment. THE INNOVATION AREA OF THE JOURNALThe innovation area of the Journal's focus will emphasize a broad range of topics and approaches, including (but not limited to): 1) role of private and public sector in development and diffusion of innovations, 2) product, process and business model innovations, 3) profiles of innovative products, structures and processes, aimed at improving management practice and providing inspiration for entrepreneurs, 4) comparative analyses of national, regional policy or sector issues, such as R&D trends, patents, citations etc., 5) theoretical work on economic, organizational and scientific aspects of innovation, encouraging the search for inspirations from various disciplines, including natural sciences, arts and humanities. THE ENTREPRENEURIAL FINANCE AREA OF THE JOURNALThe entrepreneur or entrepreneurial firm, the institutions providing finance to the entrepreneurs, and the different types of financial sources used by the entrepreneurial firms or investors. Among the areas of our special interests might be enumerated: accounting and corporate finance, financial market as a background for SME development, entrepreneurial finance, regulatory and supervisory aspects related to corporate finance.

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Past-present-future Intertemporal DEA models

Cited by 16 publications

References 22 publications

A review of Dynamic Data Envelopment Analysis: state of the art and applications

A review of Dynamic Data Envelopment Analysis: state of the art and applications

Nested dynamic network data envelopment analysis models with infinitely many decision making units for portfolio evaluation

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