Wen-Hsiang Lai

Fuzzy MCDM approach to R&D project evaluation in Taiwan's public sectors

Purpose – Establishing a performance‐oriented evaluation in public sectors is the key to successful administrations. However, because of lacking relative comparable measuring standards, it is difficult to measure the relative performance of one unit while comparing to other units with regard to the multiple criteria decision making (MCDM) of performance evaluation. This paper aims to focus on the performance ranking of research and development (R&D) projects in Taiwans public sectors.Design/methodology/approach – The algorithm in this paper is based on the concept of fuzzy set theory and the hierarchical structure analysis. The analyzing method adopts the methods of standard normal distribution, linear transformation, and fuzzy MCDM, carrying on the analysis of multiple criteria of the performance evaluation.Findings – This paper constructs linguistic values to the subjective judgments and analyzes the ranking results of the performance evaluation with respect to 45 R&D projects of one of Taiwans electr...

Analyzing influence factors of technology transfer using fuzzy set theory

In the face of the era of speedy revolution of high technology, the advanced technology becomes one of the key drivers to enhance productivity in a firm or even in a country. In order to compete in the global environment, the ability and effectiveness of acquiring new technology are essential for firms, especially for the traditional machinery industry. In Taiwan, the societal structure is built on the foundation of small-medium enterprises (SMEs). Thus most new technologies need and depend on the technology transfer (TT) from international firms and research institutes. Due to the complicity of influence factors of TT, such as features of industry, technology, organization, and talent, difficulties are encountered in evaluating the effectiveness of TT. This study develops a rule-based decision support mechanism using fuzzy set theory and the method of Analytic Hierarchy Process (AHP) to evaluate the effectiveness of TT. The characteristic of adopting fuzzy set theory is to construct the membership function for those features of influence factors and differentiate the indistinct linguistic terms in order to match true conditions. Finally this study discusses the hierarchical influence factors of TT and provides suggestions for machinery firms with respect to TT effectiveness.

Fuzzy MCDM approach to R&D project evaluation in Taiwan’s public sectors

In most industrialized countries, the role of public sectors has been undergoing massive changes in the past several decades. One of the major reformations in public sectors is the pursuit of the ability to distinguish between executive performances. Thus establishing a performance-oriented evaluation in public sectors is the key to successful administrations. However, because of lacking relative comparable measuring standards, it is difficult to measure the relative performance of one unit while comparing to other units with regard to the multiple criteria decision making (MCDM) of performance evaluation. This study mainly focuses on the performance ranking of research and development (R&D) projects in Taiwanpsilas public sectors. The algorithm in this study is based on the concept of fuzzy set theory and the hierarchical structure analysis. The analyzing method adopts the methods of standard normal distribution, linear transformation and fuzzy MCDM, carrying on the analysis of multiple criteria of the performance evaluation. In order to differentiate the indistinct linguistic terms and make the performance evaluation be able to match true conditions, the characteristic of adopting fuzzy set theory in this study is to construct the membership function for those criteria of performance evaluation. In the meantime, this study constructs linguistic values to the subjective judgments and analyzes the ranking results of the performance evaluation with respect to 45 R&D projects of one of Taiwanpsilas electric power companies.

A competence of firm-level knowledge accumulation in enterprises

The global economy has been gradually developing and aiming to promote the economic growth and to propel the industrial production. This article analyzes the competence of knowledge accumulation in Taiwans enterprises by expert interviews, Analytic Hierarchy Process (AHP), and fuzzy set theory. This article shows that the competence of knowledge accumulation can be divided into three major influential variables: knowledge integration ability (KIA), knowledge absorption ability (KAA), and knowledge sharing ability (KSA). The findings indicate that KIA in firm-level knowledge accumulation performs the highest degree of influence among the three influential variables. Based on the literature and expert interviews, three sub-variables of “systematic ability”, “mutual coordination ability”, and “conventionalization ability” are extracted from the KIA variable. The results of fuzzy analysis indicate that “systematic ability” has a significant impact on knowledge accumulation. Furthermore, knowledge creation, access, and accumulative capacity assist in an enterprises innovation, development strategy, and competitive advantage to integrate, absorb and share knowledge.