Browsing by Author "Hu, Shu-Kung"

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A DATA-DRIVEN MADM MODEL FOR PERSONNEL SELECTION AND IMPROVEMENT
(2020-01-01)
Chuang, Yen-Ching
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Hu, Shu-Kung
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Liou, James J. H.
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Tzeng, Gwo-Hshiung
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科技管理研究所
Personnel selection and human resource improvement are characteristically multiple-attribute decision-making (MADM) problems. Previously developed MADM models have principally depended on experts' judgements as input for the derivation of solutions. However, the subjectivity of the experts' experience can have a negative influence on this type of decision-making process. With the arrival of today's data-based decision-making environment, we develop a data-driven MADM model, which integrates machine learning and MADM methods, to help managers select personnel more objectively and to support their competency improvement. First, RST, a machining learning tool, is applied to obtain the initial influential significance-relation matrix from real assessment data. Subsequently, the DANP method is used to derive an influential significance-network relation map and influential weights from the initial matrix. Finally, the PROMETHEE-AS method is applied to assess the gap between the aspiration and current levels for every candidate. An example was carried out using performance data with evaluation attributes obtained from the human resource department of a Chinese food company. The results revealed that the data-driven MADM model could enable human resource managers to resolve the issues of personnel selection and improvement simultaneously, and can actually be applied in the era of big data analytics in the future.
Combining Hybrid MADM with Fuzzy Integral for Exploring the Smart Phone Improvement in M-Generation
(2012-06-01)
Hu, Shu-Kung
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Chuang, Yen-Ching
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Yeh, Ya-Fan
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Tzeng, Gwo-Hshiung
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交大名義發表
With the advancements of mobile technologies, internet connection can be conveniently accessed by the fast-growing number of smart phones. This is a relevant feature, making smart phone devices highly attractive to the M-era. In order to understand the end-users' needs and elevate competitive advantage of the enterprises, this study has set up an evaluation model for the smart phone improvement by using Fuzzy Hybrid MADM method, which integrated DANP in the Fuzzy integral. Analysis of DANP revealed that Mobile convenience (D-3) has the highest impact to improvement of Customer Equity (D-1), while Mobile multimedia services (C-34) showed as the most influential criteria of D-3. In the case of performance evaluation, it was found out that non-additive (fuzzy integral method, FI) could represent more the real behavior than additive (simple additive weighting method, SAW). This study was able to provide the enterprises a recommended direction which can enhance competitiveness of the smart phone according to network relation map (NRM) and performance evaluation.
Exploring smart phone improvements based on a hybrid MCDM model
(2014-07-01)
Hu, Shu-Kung
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Lu, Ming-Tsang
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Tzeng, Gwo-Hshiung
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管理科學系
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Department of Management Science
In recent years, the smart phone equipped with advanced mobile applications such as convenient and easy access to the Internet has become an essential tool for the multitasking era, recently termed the M-era. How we can understand customers' needs and gaps and subsequently satisfy these needs and lessen these gaps by creating a high value-added product to enhance customer satisfaction and increase the benefits to, and the competitive advantage of, enterprises? This study proposes a smart phone improvement for promoting the product value to satisfy the customers' needs with a hybrid MCDM model, which combines the DANP (DEMATEL-based ANP) and VIKOR. The DANP can establish an influential network relation map (INRM) to analyze interrelationship among dimensions/criteria by using the DEMATEL technique and then can measure the influential weights by combining the basic concept of the ANP. Furthermore, the VIKOR combining the influential weights in each criterion can integrate into each dimensional and overall evaluation based on the INRM to improve the gaps for achieving aspiration level and can enhance their competitive advantage in the smart phone market by lessening the gaps related to mobile convenience, thus creating a high value-added mobile phone product. (C) 2014 Published by Elsevier Ltd.