Author
Shiuh-Nan Hwang
Other affiliations: National Cheng Kung University, Saint Petersburg State University
Bio: Shiuh-Nan Hwang is an academic researcher from Ming Chuan University. The author has contributed to research in topics: Data envelopment analysis & Inefficiency. The author has an hindex of 17, co-authored 29 publications receiving 2647 citations. Previous affiliations of Shiuh-Nan Hwang include National Cheng Kung University & Saint Petersburg State University.
Papers
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TL;DR: The relational model developed in this paper is more reliable in measuring the efficiencies and consequently is capable of identifying the causes of inefficiency more accurately.
1,112 citations
TL;DR: In this paper, the authors used data envelopment analysis (DEA) to measure the managerial performance of 45 hotels in 1998 and the efficiency change of 45 Hotels from 1994 to 1998.
464 citations
TL;DR: In this article, a structural equation model is used for theory testing and development, and tourists' involvement has a positive significant effect on perceived interpretation service quality, as does place attachment.
442 citations
01 Feb 2010
TL;DR: A network DEA model is discussed which distributes the system inefficiency to its component processes and is applied to assess the impact of information technology (IT) on firm performance in a banking industry.
Abstract: A recent development in DEA (data envelopment analysis) examines the internal structure of a system so that more information regarding sources that cause inefficiency can be obtained. This paper discusses a network DEA model which distributes the system inefficiency to its component processes. The model is applied to assess the impact of information technology (IT) on firm performance in a banking industry. The results show that the impact of IT on firm performance operates indirectly through fund collection. The impact increases when the IT budget is shared with the profit generation process.
280 citations
TL;DR: A multi-period two-stage DEA model is developed, which is able to measure the overall and period efficiencies at the same time, with the former expressed as a weighted average of the latter.
124 citations
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TL;DR: In this paper, the role of attachment in predicting satisfactory holiday experiences and destination loyalty was explored, showing that positive emotional and cognitive bonds with a place could indeed affect an individual's critical assessment of a destination and his/her loyalty to the place.
1,051 citations
TL;DR: In this article, a theoretical model based on hypothesized relationships among four constructs, namely, destination image, place attachment, personal involvement, and visitors' satisfaction as antecedents of loyalty is evaluated.
Abstract: This article evaluates a theoretical model based on hypothesized relationships among four constructs, namely, destination image, place attachment, personal involvement, and visitors’ satisfaction as antecedents of loyalty. These relationships are explored for a sample of 705 international visitors staying in hotels on the island of Mauritius. Confirmatory factor analysis is used initially to ascertain the dimensions of the various constructs but also to assess the convergent and discriminant validity of the measurement items. The structural model indicates that destination image, personal involvement and place attachment are antecedents of visitors’ loyalty but this relationship is mediated by satisfaction levels. The findings offer important implications for tourism theory and practice.
958 citations
TL;DR: This study is the first literature survey that focuses on DEA applications, covering DEA papers published in journals indexed by the Web of Science database from 1978 through August 2010, and suggests that the two-step contextual analysis and network DEA are the recent trends across applications.
Abstract: The literature of data envelopment analysis (DEA) encompasses many surveys, yet all either emphasize methodologies or do not make a distinction between methodological and application papers. This study is the first literature survey that focuses on DEA applications, covering DEA papers published in journals indexed by the Web of Science database from 1978 through August 2010. The results show that on the whole around two-thirds (63.6%) of DEA papers embed empirical data, while the remaining one-third are purely-methodological. Purely-methodological articles dominated the first 20 years of DEA development, but the accumulated number of application-embedded papers caught up to purely-methodological papers in 1999. Among the multifaceted applications, the top-five industries addressed are: banking, health care, agriculture and farm, transportation, and education. The applications that have the highest growth momentum recently are energy and environment as well as finance. In addition to the basic statistics, we uncover the development trajectory in each application area through the main path analysis. An observation from these works suggests that the two-step contextual analysis and network DEA are the recent trends across applications and that the two-step contextual analysis is the prevailing approach.
622 citations
TL;DR: In this paper, the authors examined place attachment as a second-order factor and investigated its relationship with place satisfaction and visitors' low and high effort pro-environmental behavioural intentions.
565 citations
TL;DR: The current paper develops an additive efficiency decomposition approach wherein the overall efficiency is expressed as a (weighted) sum of the efficiencies of the individual stages and can be applied under both CRS and variable returns to scale (VRS) assumptions.
563 citations