ANP for model-structuring process improvement and its applications

• Main Authors: Chiau-Ching Chen, 陳巧青
• Other Authors: 時序時
• Format: Others
• Language: zh-TW
• Published: 2014
• Online Access: http://ndltd.ncl.edu.tw/handle/17448802673575329612

博士 === 淡江大學 === 管理科學學系博士班 === 102 === Abstract: The Analytic Hierarchy Process (AHP) and its general form, Analytic Network Process (ANP), help decision makers understand real world problems and solve them via a hierarchical or network structure. It has been popular for many business applications and has become an important technique in multiple criteria decision making. This study proposes two kinds of improvement processes of model-structuring and applies them to the selection of the appropriate green supply chain management (GSCM) strategy and the evaluation of consumers’ acceptance of wearable technology. First, the researcher organized the GSCM strategy-selection network structure according to the product lifecycle management (PLM) concept. Then the importance of control criteria which could make the results of pair-comparisons more precise was stressed and the GSCM strategy which conformed to the environmental perspective kept by the organization was chosen. Then the study selected a leading Taiwanese electronics company to demonstrate how to choose an appropriate GSCM strategy via the proposed model. The analytical results derived from the model can provide suggestions for departments’ policies or programs since the concept of PLM corresponds with their business functions/departments types. In addition, the Unified Theory of Adoption and Use of Technology (UTAUT) model which is a more robust theory model and used commonly to predict the acceptance of a new technology was utilized to be a basis for an analytical network-framing. Then, wearable technology was taken an example to evaluate customers’ intention to use the products and the level-low, medium and high of actual use of wearable technology in Taiwan. This approach not only improved the model-framing objectivity; but also avoided some limitations which existed in statistical methods including some assumptions, problems with sample sizes and so on. The method used in this study allowed for issues related to inaccurate statistical significance magnitude resulted from different samples which keep users from understanding the importance of each variable to be avoided. The stability of the above tow model-structuring approaches was confirmed via sensitivity analysis; however, the first approach which is based on managerial concepts should combine other mathematical techniques to show better judgments in relationship–linking between each factor. The other approach which is based on UTAUT model also continuously examined the feasibility of other theoretical models, and then advanced to a more objective and feasible transferring process.