Exploring critical factors of green business failure based on Grey-Decision Making Trial and Evaluation Laboratory (DEMATEL)

Cui, Li; Chan, Hing Kai; Zhou, Yizhuo; Dai, Jing; Lim, Jia Jia

doi:10.1016/j.jbusres.2018.03.031

Cited by 117 publications

(83 citation statements)

References 108 publications

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“…To tackle and consider the condition of fuzziness, this study pursues the grey-based DEMATEL approach (Rahimnia et al, 2011;Cui et al, 2019). Grey models are more robust to noise and unavailable modeling information when matched with orthodox methods (Cui et al, 2019;Tian et al, 2019). The authors employ an integrated grey-based DEMATEL approach in this study.…”

Section: Grey-anpmentioning

confidence: 99%

A Hybrid Grey McDm Approach for Asset Allocation: Evidence From China’s Shanghai Stock Exchange

Mills

Baafi

Amowine

et al. 2020

Journal of Business Economics and Management

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Asset allocation is a critical concern for any investor in the financial market. This paper aims to prioritize five randomly selected firms from the top ten stocks by market capitalization of the Shanghai Stock Exchange (SSE) by opting for adequate financial procedures and practical criteria under uncertain conditions. Decision makers want not only the ranking order of stocks but also capital proportions to be allocated. Therefore, this study uses a hybrid multi-criteria decision-making (MCDM) approach comprising of an integrated analytic network process (ANP) and decision making trial and evaluation laboratory (DEMATEL) in a grey environment for optimal portfolio selection to provide both ranking and weighting information for decision makers. Results indicate that return, financial ratios, dividends, and risk are causal criteria group, which are the most influential determinants for obtaining high benefits with regards to stock portfolio selection in SSE. The free float of stocks is the least influencing criterion among all identified criteria of stock portfolio selection of SSE. The Industrial and Commercial Bank of China Ltd. stocks have the highest allocated proportion with the highest priority shown by investors and can be described as a suitable alternative. The practical implications of this research are that the approach, when applied, highlights how the grey system theory minimizes the uncertainties in all stages of decision-making of portfolio selection.

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Section: Grey-anpmentioning

confidence: 99%

A Hybrid Grey McDm Approach for Asset Allocation: Evidence From China’s Shanghai Stock Exchange

Mills

Baafi

Amowine

et al. 2020

Journal of Business Economics and Management

View full text Add to dashboard Cite

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“…To understand the situation of the system so that the gray correlation analysis method can effectively deal with the uncertainty of things, multivariate input, discrete data, and data incompleteness are used. The grey theory research category is mainly divided into six parts: (1) grey generation; (2) grey relational analysis; (3) grey modeling; (4) grey prediction; (5) grey multi-attribute decision making; and (6) grey control [6,8,[26][27][28]. The basic feature of gray theory is the ambiguity of the system's information.…”

Section: Literature Reviewmentioning

confidence: 99%

“…For theoretical analysis, on the contrary, the statistical probability method must use a large amount of data to find the regularity, and usually, there is a hypothesis that the data is normally distributed or close to the normal distribution. When the amount of data is insufficient, the statistical method is regarded as including the error in the change that does not conform to the regularity of items (or residuals), but also there is too little information to determine whether it is representative [6,8,[26][27][28]. Grey relational analysis (GRA) is a quantitative comparative analysis of the developmental dynamics between grey system factors.…”

Section: Literature Reviewmentioning

confidence: 99%

“…In the process of system development, if the trend of change between factors is coherent, that is, the degree of synchronous change is higher, it can be said that the degree of the relationship between the two is higher; otherwise, it is lower. In grey multi-attribute decision-making, according to the characteristics of the factors, the choice of the upper limit effect measure, the lower limit effect measure, and the specific center effect measure can be considered, and most options can be chosen [6,8,[26][27][28].…”

Section: Literature Reviewmentioning

confidence: 99%

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Optimal Multiple Attribute Decision Model for Key Parameters of Online Group Buying Product

Wang

Lien

2019

Mathematics

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The rise of the internet has led to rapid development of online group buying, and with the various functions and analysis tools provided on the internet, consumers are making more purchases than ever before. In addition to attracting consumers to buy products or services via online shopping platforms, the industry’s online group buying market allows customers to enjoy preferential prices together. Consumers can bargain through large-scale purchases. Through quantity-based pricing, the effect of the decline on consumers’ expected price will be enhanced, and consumers will be able to purchase products at lower prices, which encourages more consumers to join group buying schemes. In terms of product cost, online shopping operations enable manufacturers to save shop setup and inventory costs, and some of these cost savings may be reflected in the selling price, which can enable customers to obtain products at lower prices. The grey decision model is used for further in-depth exploration. The purpose of this study is to use the grey correlation ranking and grey multi-attribute decision-making (TOPSIS) process to further determine the optimal shelf-time, inventory quantity, and selling price (key parameters) of commodities, in order to design a plan that makes maximum profit for the industry and provides the best service to customers.

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“…In study applied SWOT and Fuzzy Goal Programming to evaluating the strategies of compressed natural gas industry in Iran by Khan MI [38]. A Grey model and Decision Making Trial and Evaluation Laboratory (DEMATEL) to find out critical factors of green business failure L. Cui [39]. A new model based on the IFS and ANP technique to evaluate the critical factors of the application of nanotechnology in the construction industry by Shahram Shariati et al [40].…”

Section: Literature Reviewmentioning

confidence: 99%

Solar Panel Supplier Selection for the Photovoltaic System Design by Using Fuzzy Multi-Criteria Decision Making (MCDM) Approaches

Wang

Tsai

2018

Energies

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Abstract:The period of industrialization and modernization has increased energy demands around the world. As with other countries, the Taiwanese government is trying to increase the proportion of renewable energy, especially solar energy resources. Thus, there are many solar power plants built in Taiwan. One of the most important components of a solar power plant is the solar panel. The solar panel supplier selection process is a complex and multi-faceted decision that can reduce the cost of purchasing equipment and supply this equipment on time. In this research, we propose fuzzy MCDM approach that includes fuzzy analytical hierarchy process model (FAHP) and data envelopment analysis (DEA) for evaluation and selection of solar panel supplier for a photovoltaic system design in Taiwan. The main objective of this work is to design a fuzzy MCDM approach for solar panel supplier selection based on qualitative and quantitative factors. In the first step of this research, FAHP is applied to define the priority of suppliers. The AHP combined with fuzzy logic (FAHP) can be used to rank suppliers; however, the disadvantages of the FAHP model is that input data, expressed in linguistic terms, depends on experience of experts and the number of suppliers is practically limited, because of the number of pairwise comparison matrices. Thus, we applied several DEA models for ranking potential suppliers in the final stages. As the result, decision making unit 1 (DMU 1) is the optimal solar panel supplier for photovoltaic system design in Taiwan. The contribution of this research is a new fuzzy MCDM for supplier selection under fuzzy environment conditions. This paper also lies in the evolution of a new approach that is flexible and practical to the decision maker. It provides a useful guideline for solar panel supplier selection in many countries as well as a guideline for supplier selection in other industries.

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Exploring critical factors of green business failure based on Grey-Decision Making Trial and Evaluation Laboratory (DEMATEL)

Cited by 117 publications

References 108 publications

A Hybrid Grey McDm Approach for Asset Allocation: Evidence From China’s Shanghai Stock Exchange

A Hybrid Grey McDm Approach for Asset Allocation: Evidence From China’s Shanghai Stock Exchange

Optimal Multiple Attribute Decision Model for Key Parameters of Online Group Buying Product

Solar Panel Supplier Selection for the Photovoltaic System Design by Using Fuzzy Multi-Criteria Decision Making (MCDM) Approaches

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