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A DATA-DRIVEN MADM MODEL FOR PERSONNEL SELECTION AND IMPROVEMENT
(2020-01-01)
Chuang, Yen-Ching
;
Hu, Shu-Kung
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Liou, James J. H.
;
Tzeng, Gwo-Hshiung
;
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.
Data-driven hybrid multiple attribute decision-making model for green supplier evaluation and performance improvement
(2019-12-20)
Liou, James J. H.
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Chuang, Yen-Ching
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Zavadskas, Edmundas Kazimieras
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Tzeng, Gwo-Hshiung
;
科技管理研究所
Multi-attribute decision-making (MADM) is the most commonly used methodology for green supplier evaluation and performance improvement. Previous MADM models have mainly relied upon the knowledge and opinions of domain-experts as the starting point for making decisions. However, the results are affected by the subjectivity of these judgments and knowledge limitations. This study develops a data-driven MADM model that utilizes potential rules/patterns derived from a large amount of historical data to help decision-makers objectively select suitable green suppliers and provide systemic improvement strategies to help reach the aspiration level. First, the random forest (RF) algorithm is applied to explore the pairwise influential strength relations among attributes derived from real audit data. The influence matrix derived using the RF algorithm is used as input for decision-making trial and evaluation laboratory (DEMATEL)-based analytical network process analysis which is carried out to obtain the influential strength weights of the attributes. Then, multi-objective optimization on the basis of ratio analysis to the aspiration level (MOORA-AS) is utilized to evaluate the gap between the current and aspiration levels for each green supplier. The developed critical influence strength route (CISR) can help managers derive various strategies for improving green supplier performance. The functioning of the proposed model is illustrated using data obtained from the green supplier management department of a Taiwanese electronics company. The results reveal that the proposed model can effectively help decision-makers to solve the problem of green supplier selection and devise strategies for improvement. (C) 2019 Elsevier Ltd. All rights reserved.
An Integrated MCDM Model for Glamour Stock Selection
(2012-01-01)
Shen, Kao-Yi
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Chen, Vivien Y. C.
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Tzeng, Gwo-Hshiung
;
科技管理研究所
;
Institute of Management of Technology
Stock market is full of opportunity and uncertainty, which is characterized by return and risk. Investors have to utilize their knowledge and experience to explore the available information for selecting stocks with good prospects. Investment professionals mainly utilize available financial information for making evaluation, which is often termed as fundamental analysis. Nevertheless, which financial information (variables/criteria) should be considered and the way for analysis is still inconclusive. Furthermore, while making comparison among a group of stocks, different criteria sometime reveal inconsistent signals. To handle the complexity of financial information analysis, this study proposes an integrated method to deal with the glamour stock evaluation problem. The method is based on an examined financial model. In the first stage, the weights of criteria are obtained by DANP method, and the second stage integrates the influential weights with expert's assessment for each criterion to complete the modified TOPSIS based on influential network relation map (INRM) for making decision in improvement direction. This study provides an empirical case for 5 real stocks in the Taiwan market as example. The suggested ranking result generated high correlation with the 5 stocks' subsequent holding period returns, which indicates the usefulness of the proposed method.
Influential structure relationship for factors of festivals and events using DANP
(2012-01-01)
Yang, Wen-Tsann
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Liu, Wen-Hua
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Tzeng, Gwo-Hshiung
;
Liu, Hsin-Hsien
;
Peng, Kua-Hsin
this study probed into tourism satisfaction for the Taipei International Flora Expo using Hybrid MCDM, and the findings can serve as references for decision-makers in festival planning. This study summarized 4 dimensions and 21 factors that affect festivals and mega events, identified their structural relationship using DEMATEL (decision-making trial and evaluation laboratory), and obtained the key factors and improvement points., DANP (the DEMATEL-based analytic network process) was employed for calculating influential weights to obtain the influential weights among critical factors. The subject was the 2011 Taipei International Flora Expo, and data collection was based on a questionnaire survey of 26 experts. The results showed that the first dimension of festivals and mega events is "entertainment" and the second is "transport". Thus, by improving these two dimensions, the tourists' satisfaction and revisit intention will be enhanced. In addition, according to weighting, the influential weight of information (0.2784) is the highest; this is because clear indication of information, such as the event flow, location, and routes, can improve public satisfaction.
Decision-Making by "Minor ANP" and Classification of the Types
(2010-01-01)
Ozaki, Toshimasa
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Lo, Mei-Chen
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Kinoshita, Eizo
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Tzeng, Gwo-Hshiung
;
科技管理研究所
The evaluation with only the alternatives consist of the missing values or the non-square matrix is not easy to make. The ANP that contains these irregular alternatives is defined as "Minor ANP". Then, this study describes the methods of making the priority of only the alternative's matrix values by using the ANP. Our new method is proposed, and is compared with the Harker method and the Nishizawa method in presumption of missing values. And, another new method is proposed, and is compared with the Kinoshita method in the non-square matrix, too. Moreover, the paper presents the types of the decision-making, the meaning of the eigenvalue, and the negative elements of the criteria matrix to the ANP.
Exploring heritage tourism performance improvement for making sustainable development strategies using the hybrid-modified MADM model
(2019-05-09)
Peng, Kua-Hsin
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Tzeng, Gwo-Hshiung
;
科技管理研究所
;
Institute of Management of Technology
Industrial heritage tourism has become increasingly popular in recent years. However, strategies for improving the industrial heritage tourism development-related performances are still an underdeveloped research topic academically. Therefore, this study's purpose is to explore the feasibility performance-improving strategies using a hybrid-modified multiple attribute decision-making (MADM) based on the DEMATEL technique in constructing the influential network relation map (INRM) and in determining the influential weights of DANP. Then, the modified VIKOR method is combined with the influential weights of DANP, performance gaps were identified, and then the most effective strategies for improving tourism development-related performance at industrial heritage sites can be generated using INRM. Finally, an empirical real case study of a rehabilitated gold-mining site of Taiwan is used to demonstrate the effectiveness of the hybrid-modified MADM model. According to the results, the decision-makers should highly prioritize improving high-priority criteria such as 'social usefulness', 'resource integration', 'destination policy and development', 'economic development', 'cultural links', 'cultural learning', and 'natural landscape resources' in advance to successfully achieving the aspired performance levels. Additionally, this study suggests meaningful industrial heritage tourism performance improvement strategies that have been rehabilitated throughout the world.
Evaluating vehicle telematics system by using a novel MCDM techniques with dependence and feedback
(2010-10-01)
Lin, Chia-Li
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Hsieh, Meng-Shu
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Tzeng, Gwo-Hshiung
;
科技管理研究所
;
Institute of Management of Technology
As the advanced integration of communications, information and vehicle technologies, Vehicle Telematics Systems (VTS). have been initiated for satisfying consumers' needs with respect to automobile movement. Importantly, VTS enables a vehicle to become a multifunction mobile-services platform. Cars are now designed not only for transportation, but also to provide value-added services covering navigation, safety, security, information, communications and entertainment. Drivers or passengers can contact a call center via VTS to access aspired/desired services and information online. Therefore, VTS increases both the utility/functions and the safety of driving. Developing the optimal VTS that satisfies with consumers' needs has become the foremost concern of automobile producers. This study will attempt to identify the required VTS utilities between distinguishing characteristics/features of consumers and propose the ideal service combinations for the next e-era generation VTS. An evaluating model by six aspects to be considered/constructed, which encompasses 25 criteria, is built to identify consumers' needs for the next e-era generation VTS. In the paper, a Decision-Making Trial and Evaluation Laboratory (DEMATEL) technique is used to construct the network relation-map (NRM) among the criteria of each aspect. These criteria are not mutually independent: instead, they have feedback mechanisms. The Analytical Network Process (ANP) based on NRM is used to determine the relative weightings among those criteria. Moreover, the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) is used to determine and improve the gaps among the distinguishing characteristics/features of consumers' desired utilities with respect to services/provide the decision-maker of Telemetics Service Provider (TSP) for improving existing functions or planning further utilities in the next-generation VTS. Based on above NRM those results can be served as a suggestion for the TSP to improve the existing functions or plan further utilities/functions for reducing the gaps and satisfying the users' needs in next e-era generation VTS. (C) 2010 Published by Elsevier Ltd.
Using a Fuzzy Group Decision Approach for knowledge management adoption
(2008-01-01)
Hung, Ying-Hsun
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Chou, Seng-Cho T.
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Tzeng, Gwo-Hshiung
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交大名義發表
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National Chiao Tung University
This paper proposes a Fuzzy Group Decision Approach for making strategic decisions about knowledge management adoption. In the global economy, knowledge has become a key asset in organizations; thus, Knowledge Management (KM) has emerged as a major issue that managers must deal with. However, implementing KM is becoming more complicated. Practitioners must assess complex and confusing situations, initiate KM, identify the causal relationships between problems, make appropriate decisions, and guarantee that the recommended action plan will be effective. Therefore, effective group decision-making is essential. A 27-item list that constituted a complete domain for OKMR (Organizational Knowledge Management Readiness) measurement was obtained, which are used to construct the criteria of knowledge management adoption. The DEMATEL (Decision MAking Trial and Evaluation Laboratory) method gathers collective knowledge to capture the causal relationships between strategic criteria. This paper applies the DEMATEL method in the strategic planning of knowledge management to help managers address the above situations and related questions.
A service selection model for digital music service platforms using a hybrid MCDM approach
(2016-11)
Lin, Chia-Li
;
Shih, Ying-Hsiu
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Tzeng, Gwo-Hshiung
;
Yu, Hsiao-Cheng
;
科技管理研究所
Digital music services have provided more and more digital contents and service styles. The number of people paying to download music is on the rise. Digital music files, mainly in MP3 format, have become widespread on the internet. Downloading digital products for free may harm creators and music publishers, because it is very easy to obtain free-music through peer-to-peer sharing technologies over the internet. At the same time, portable entertainment devices and mobile phones are now able to carry music files, enabling people to access music much more easily. On the other hand, with the coming of the 5G in the telecom infrastructure, the rise in downloading music using mobile devices becomes possible. People can access online-music platform services through cable/ADSL with their digital devices (e.g., Personal computer, Notebook and Smart phone) or through the telecom services accompanying their mobile devices. Therefore, a critical issue for record publishers, or digital music service providers, is how to provide services to create value and fulfill customer needs. By determining customer music service needs and intentions, this study identifies the selection criteria necessary for customers to evaluate and select digital music service platforms. A novel MCDM (Multiple Criteria Decision Making) technique is developed that integrates the Decision making Trial and Evaluation Laboratory (DEMATEL), Principal Component Analysis (PCA), Analytical Network Procedure (ANP), and VlseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR). This technique ranks and improves the digital music service platforms to obtain the best win-win service selection. This paper will propose the key driving aspects of the digital music service platforms and rank them by using the model proposed. The conclusions are composed of suggestions for service providers to improve their existing functions and plan further utilities for the digital music service platforms. (C) 2016 Elsevier B.V. All rights reserved.
Semiconductor Foundry Technology Life Cycle Strategy Portfolio Definitions of Fabless IC Design Firms by Using the ISM and Fuzzy Integral Method
(2010)
Huang, Chi-Yo
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Lai, Chao-Yu
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Tzeng, Gwo-Hshiung
;
科技管理研究所
;
Institute of Management of Technology
Fabless integrated circuit (IC) design firms are the semiconductor companies without wafer fabrication facilities. Thus, appropriate semiconductor foundry strategies are critical for the fables IC design firms\' profitability. Further, due to the various characteristics of the semiconductor wafer foundry industry versus each stage of a technology life cycle (TLC), the foundry strategies of the fabless IC design firms should further be defined based on the characteristics of each stage of a TLC. Albeit important, very few past researches tried to illustrate the foundry strategies of fabless IC design firms, not to mention the considerations about foundry strategy portfolios definition versus the concept of TLC. Thus, this research aims to develop a fuzzy integral based fuzzy multiple criteria decision making (FMCDM) framework for defining foundry strategies versus each stage of a TLC by using the interpretive structure modeling (ISM), fuzzy analytic hierarchical process (FAHP) and the non-additive fuzzy integral method. By inviting twenty one industry experts from leading semiconductor foundries, fabless IC design firms as well as IC design service companies, strategy portfolios versus each stage of a TLC were developed.

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