Destination attachment: Effects on customer satisfaction and cognitive, affective and conative loyalty

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.

http://mastercomputer.persiangig.com/document/Paper_Download/Page_4/123.pdf

Antecedents of Tourists’ Loyalty to Mauritius: The Role and Influence of Destination Image, Place Attachment, Personal Involvement, and Satisfaction

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.

A survey of DEA applications

Testing the dimensionality of place attachment and its relationships with place satisfaction and pro-environmental behaviours: A structural equation modelling approach

http://www.deafrontier.net/papers/EJORAddDecomp.pdf

Additive efficiency decomposition in two-stage DEA

Previous studies have discussed how the various kinds of antecedents affect micro-entrepreneurs success. Most of research based on distinct perspectives and specific theories, but these studies still do not effectively integrate related research findings now. This study attempts to combine the personal characteristics with the relationship characteristics of micro-entrepreneurs to deduce a theoretical structure of antecedents affecting the micro-entrepreneurs success and deepen our understanding of micro-entrepreneurial academic research and practical implication.

The Joint Effects of Personal and Relationships Characteristics on Micro-Entrepreneurial Success☆

This paper aims to formulate a model of stock classification to facilitate investors making investment decisions related to equity stock selection by two dimensions-performance shift and stock price evaluation. The former is measured by the Malmquist productivity index based upon Data Envelopment Analysis (DEA). The latter is measured by Range adjusted Measure (DEA-RAM) in DEA. With these two dimensions, the model of stock classification can be partitioned into four grids, which are classified as Value, Monitor, Speculative and Avoidance, respectively. The four stock classifications have different implications. For example, value stocks have potential to achieve higher stock returns for the next year than that of the others, while the avoidance stocks which the model designates as high risk, will likely have inferior performance to the others in the coming year. The empirical results indicate that the proposed stock classification model can predict stock returns, enabling both institutional and individual investors to reduce the risks associated with equity investments. The results of this study further demonstrate that DEA can be extremely effective in devising stock trading strategies.

Formulate Stock Trading Strategies Using DEA: A Taiwanese Case

An efficiency measure, referred to as "Range-Adjusted Measure (RAM)," has been recently proposed as a new type of DEA (Data Envelopment Analysis) performance evaluator To deal with large RAM problems, this study documents how the algorithm of RAM is designed in a parallel process The parallel process is implemented on a Local Area Network (LAN) that connects multiple personal computers A large simulation study examines the performance of the proposed RAM network computing approach

Parallel network computing approach for dea-ram measurement

Dealing with desirable outputs and undesirable outputs is important when measuring Quality of Life (QOL). In addition, the weighting scheme of various QOL indicators must be determined objectively. This paper develops a new model to evaluate QOL, which is based on the DEA-AR model and the CRITIC method proposed by Diakoulaki et al. (1995). To begin, all QOL indicators, including desirable outputs and undesirable outputs, should be normalized to the-larger-the-better. Secondly, the ranking of QOL indicators by importance is determined through the characteristics of the data and the correlation of inter-indicators; thus this is taken as an objective constraint. This new model possesses higher discrimination than the model proposed by Seiford and Zhu (2002), as proved by an empirical analysis.

Shiuh-Nan Hwang

Papers

The Joint Effects of Personal and Relationships Characteristics on Micro-Entrepreneurial Success☆

Formulate Stock Trading Strategies Using DEA: A Taiwanese Case

Parallel network computing approach for dea-ram measurement

Measuring Quality of Life Using DEA-AR: Focusing on Undesirable Factors

Some good multipliers for random number generator for 16-bit microcomputers