John C.S. Tang

The evaluation of bank branch performance using data envelopment analysis: A framework

Abstract The existing studies on efficiency evaluation of bank branches using a data envelopment analysis (DEA) technique have not considered intangible aspects associated with resource inputs in the branches. The intangible aspects of resource inputs in a branch characterize the effectiveness of service delivery system in supporting efficient and quality service delivery to external customers. In order to fill this gap, this paper develops a framework for incorporating this aspect into a DEA framework in the form of internal service quality. This paper also suggests the simultaneous benchmarking of the performance of bank branches along multiple dimensions using a modified DEA formulation. The dimensions of performance considered are internal service quality, operating efficiency, and profitability.

A conceptual model of performance measurement for supply chains

– This paper revisits the recent work of Chan and Qi which proposed an innovative performance measurement method for supply chain management. While the measurement method has many advantages, it can be unwieldy in practice. This paper aims to address these limitations and to propose a more user‐friendly alternative performance measurement model., – The performance measurement model described in this paper is a combination of two existing methods: Chan and Qis model and the supply chain operations reference (SCOR) model. To demonstrate the applicability of the combined approach, actual SCOR level 1 performance data and the measurement information from a case supply chain (SC) are collected and processed by Chan and Qis measurement algorithm., – These two methods complement each other when measuring SC performance., – This paper develops a practical and efficient measurement model that can resolve SC performance problems by incorporating the strengths of two different measurement models to create a synergistic new model.

Thai construction industry: Demand and projection

Thailand is fast becoming a newly industrializing country and, consequently, a large number of construction works are projected for the future. This study is an attempt to gain further insight into the demand for construction activities in Thailand. Three types of construction - residential, non-residential and ‘other’ (mainly public projects) - were considered. The demand function for each type of construction was estimated using regression analysis. Results indicate that rising per capita income, the ratio of consumer price index to the construction cost index, and population are the major determinants of demand for residential construction. The expansion of industrial production capacity and the ratio of corporate savings to the construction cost index are the most significant factors affecting the demand for non-residential construction. The demand of other construction is found to be largely a function of rising revenues of government and of public utilities. Further, projection results indicate that...

Attractiveness as a tourist destination: A comparative study of Thailand and selected countries

Abstract A multi-attribute model to assess the attractiveness ranking of a country was developed, taking into account such phenomena as natural beauty and climate; culture and social characteristics; sport, recreation and education facilities; shopping and commercial facilities; infrastructure of the country; cost of living; attitudes towards tourists; and accessibility of the country. Thirty-two countries were selected for the study. Results indicated that the United States, Thailand, Switzerland. Australia, the United Kingdom, and Austria were consistently ranked within the top ten by all respondents. Countries such as China, India. Egypt, Hong Kong, Yugoslavia and The Philippines were found to have low ranking in terms of tourist attractiveness, with the remaining countries generally scoring in the middle range of attractiveness.

Estimation of flood damage cost for Bangkok

Bangkok, located on a low lying alluvial deposit, is flooded almost every year by tide, river flow, and direct precipitation. Due to land subsidence caused by pumping of groundwater, the flooding is now more severe and more frequent than ever before. Various proposals have been presented to alleviate the flooding; however, selection of these alternatives would require cost-benefit analysis. The objective of this research is to estimate the cost of flood damage by first estimating the flood damage cost function in terms of depth and duration using the multiple regression analysis technique. In the case of Bangkok, results indicate that flood depth and flood duration are significant factors explaining flood damage in the residential and industrial areas. On the other hand, only flood depth was found to be an important factor affecting damage to the commercial and agricultural areas. The estimated cost functions served as a useful aid in the systematic computation of flood damage for 1983 which amounted to over 7.8 billion baht (US

Urban-Rural and Size Effects on School Efficiency: The Case of Northern Thailand

1.00 ≈ baht 25.5).

Efficiency Analysis of Public Universities in Thailand.

This paper investigates urban-rural and size effects on public upper secondary school efficiency in Northern Thailand. Efficiency is assessed by a nonparametric technique, namely data envelopment analysis. Urban-rural and size effects are examined through a Mann-Whitney nonparametric statistical test and by Tobit regression analysis, respectively. Results indicate that rural schools operate less efficiently than urban ones. School size contributes positively to both types of schools, while class size has a positive effect on urban schools and a negative one on rural schools. Policy to improve school efficiency should thus focus on rural schools, expanding school size while reducing class size.

Empirical evidence of corporate governance in Thai state‐owned enterprises

This paper examines the performance of Thai public universities in terms of efficiency, using a non-parametric approach called data envelopment analysis. Two efficiency models, the teaching efficiency model and the research efficiency model, are developed and the analysis is conducted at the faculty level. Further statistical analyses are also performed to examine the difference in performance between two types of public universities, namely the government universities and the autonomous universities. Then, the differences in efficiency between university locations and types of faculties are examined. The results indicate that the autonomous universities outperform the government universities in terms of research efficiency. In addition, the universities in provincial areas and the faculties in the health science group are efficient in terms of teaching. Recommendations are also provided for the university administrators to improve the performance of public universities in Thailand.

An empirical study on the evaluation of bank branch performance using data envelopment analysis

Purpose – The primary objectives of this paper are to: develop a multi‐attribute pattern of the corporate governance model in Thai state‐owned enterprises; assess the relative importance of different corporate governance practices; and provide detailed information of each corporate governance practice.Design/methodology/approach – Qualitative and quantitative approaches were used. A case study was conducted to gather information on specific corporate governance behaviors in Thai state‐owned enterprises. Then a questionnaire was developed and tested in 38 Thai state‐owned enterprises. Factor analysis was conducted to examine a common framework of corporate governance practices.Findings – This research demonstrated the multi‐attribute nature of the corporate governance model in Thai state‐owned enterprises. According to this model, the most important corporate governance practice is strategic human resource management, followed by information technology, board of directors, risk management, internal control...

An aggregate production planning for a heavy manufacturing industry

The existing studies on efficiency evaluation of bank branches using a Data Envelopment Analysis (DEA) technique have not considered service delivery system characteristics and capabilities. In order to fill this gap, this paper develops a framework to operationalise internal service quality in a DEA framework. This paper also suggests simultaneous benchmarking of bank branches along multiple drivers of performance, which are internal service quality, operating efficiency and profitability using a modified DEA model. The application of the proposed framework for branch efficiency evaluation is illustrated with an empirical study in a bank from Thailand.