scholarly journals Using a Hybrid Multiple-Criteria Decision-Making Technique to Identify Key Factors Influencing Microblog Users’ Diffusion Behaviors in Emergencies: Evidence from Generations Born after 2000

Symmetry ◽  
2019 ◽  
Vol 11 (2) ◽  
pp. 265 ◽  
Author(s):  
Yanxia Lu ◽  
Chun Jin ◽  
Jiangnan Qiu ◽  
Peng Jiang
Keyword(s):  
Decision Making ◽  
Behavioral Intention ◽  
Multiple Criteria Decision Making ◽  
Mobile Internet ◽  
Multiple Criteria ◽  
Perceived Usefulness ◽  
Key Factors ◽  
Factors Influencing ◽  
Network Process ◽  
Diffusion Behaviors

Recently, some appalling events have attracted wide attention, such as the RYB (Red, Yellow and Blue) child abuse incident, the killing of stewardesses by online car-hailing, and the swine fever epidemic. With the development of mobile Internet, Microblog has accelerated the spread of emergencies. Diffusion behavior is affected by different motivations, and motivation theory declared that internal and external motivations are the direct influencing factors of users’ behavioral intention. Therefore, this study uses a hybrid multiple-criteria decision-making (MCDM) technique, combining the decision-making trial and evaluation laboratory (DEMATEL) and analytical network process (ANP) to identify the key factors influencing user’s diffusion behaviors in emergencies. According to the results of empirical study, perceived usefulness, perceived emotionality, perceived accessibility, information timeliness, and information authoritativeness are identified as the key factors influencing user’s diffusion behaviors. Finally, we propose some managerial suggestions to help stakeholders control online public opinion effectively.

A Hybrid Multiple Criteria Decision Making Technique for Prioritizing Equipments

2010 ◽  
Vol 1 (4) ◽  
pp. 56-75 ◽  
Author(s):  
Sarojini Jajimoggala ◽  
V.V.S. Kesava Rao ◽  
Satyanarayana Beela
Keyword(s):  
Decision Making ◽  
Multiple Criteria Decision Making ◽  
Least Square Method ◽  
Multiple Criteria ◽  
Least Square ◽  
Evaluation Procedures ◽  
Reliability Centered Maintenance ◽  
Network Process ◽  
Order Preference ◽  
Pair Wise Comparison

Prioritization of equipment is an important factor for decision making to optimize maintenance management in Reliability Centered Maintenance (RCM). Many factors must be considered as part of the prioritization of equipment for maintenance activities. Consequently, evaluation procedures involve several objectives and it is often necessary to compromise among conflicting tangible and intangible factors. Multiple Criteria Decision Making (MCDM) is a useful approach to solve these problems. In this study, a hybrid model is developed for prioritizing the equipment in hybrid flow systems. The first stage involves identifying the criteria. The second stage is prioritizing the different criteria using fuzzy Analytical Network Process (ANP), in which the weight of each criterion is calculated using modified fuzzy Logarithmic Least Square Method (LLSM) to overcome the criticism of inconsistency, unbalanced scale of judgments, uncertainty and imprecision in the pair-wise comparison process, then finally ranking of equipment using fuzzy Technique for Order Preference by Similarity to Ideal Solution (TOPSIS).

A Hybrid Multiple Criteria Decision Making Technique for Prioritizing Equipments

2012 ◽  
pp. 256-275
Author(s):  
Sarojini Jajimoggala ◽  
V. V. S. Kesava Rao ◽  
Satyanarayana Beela
Keyword(s):  
Decision Making ◽  
Multiple Criteria Decision Making ◽  
Least Square Method ◽  
Multiple Criteria ◽  
Least Square ◽  
Evaluation Procedures ◽  
Reliability Centered Maintenance ◽  
Network Process ◽  
Order Preference ◽  
Pair Wise Comparison

Prioritization of equipment is an important factor for decision making to optimize maintenance management in Reliability Centered Maintenance (RCM). Many factors must be considered as part of the prioritization of equipment for maintenance activities. Consequently, evaluation procedures involve several objectives and it is often necessary to compromise among conflicting tangible and intangible factors. Multiple Criteria Decision Making (MCDM) is a useful approach to solve these problems. In this study, a hybrid model is developed for prioritizing the equipment in hybrid flow systems. The first stage involves identifying the criteria. The second stage is prioritizing the different criteria using fuzzy Analytical Network Process (ANP), in which the weight of each criterion is calculated using modified fuzzy Logarithmic Least Square Method (LLSM) to overcome the criticism of inconsistency, unbalanced scale of judgments, uncertainty and imprecision in the pair-wise comparison process, then finally ranking of equipment using fuzzy Technique for Order Preference by Similarity to Ideal Solution (TOPSIS).

scholarly journals A Hybrid Multiple Criteria Decision Making Model for Selecting the Location of Women’s Fitness Centers

2018 ◽  
Vol 2018 ◽  
pp. 1-11 ◽  
Author(s):  
Sen-Kuei Liao ◽  
Hsiao-Yin Hsu ◽  
Kuei-Lun Chang
Keyword(s):  
Decision Making ◽  
Selection Criteria ◽  
Multiple Criteria Decision Making ◽  
Analytic Network Process ◽  
Multiple Criteria ◽  
Fitness Centers ◽  
Location Selection ◽  
Fuzzy Delphi ◽  
Proposed Model ◽  
Network Process

Location selection is a critical problem for businesses that can determine the success of an organization. Selecting the optimal location from a pool of alternatives belongs to a multiple criteria decision making (MCDM) problem. This study employed a hybrid MCDM technique to select locations for women’s fitness centers in Taiwan. In the beginning, the fuzzy Delphi method was utilized to obtain selection criteria from interviewed senior executives. In the second stage, the decision making trial and evaluation laboratory (DEMATEL) was employed to extract interdependencies between the selection criteria within each perspective. On the basis of interdependencies between the selection criteria, the analytic network process (ANP) was used to get respective weights of each criterion. Finally, the technique for order preference by similarity to ideal solution (TOPSIS) was ranking the alternatives. To demonstrate application of the proposed model and illustrate a location selection problem, a case was conducted. The capabilities and effectiveness of the proposed model are revealed.

Evaluation of the Consumer Interaction Capability of the Virtual Brand Community of Chinese Mobile Internet Enterprises Based on the Hybrid MCDM Method

2020 ◽  
Vol 19 (04) ◽  
pp. 2050034
Author(s):  
Chu Sun
Keyword(s):  
Decision Making ◽  
Multiple Criteria Decision Making ◽  
Analytic Network Process ◽  
Mobile Internet ◽  
Brand Community ◽  
Proposed Model ◽  
Network Process ◽  
The Status ◽  
Promethee Method ◽  
Client Needs

E-commerce has grown considerably with increasing access to the Internet. As a means of e-commerce, the virtual brand community (VBC) has become one of the important channels for brand enterprises to promote products, enhance brand awareness and compete with enterprises in the digital economy. The most important task of any website is the provision of tailored information and services to satisfy client needs. This research aimed to evaluate the status of websites and services provided by Chinese mobile internet enterprises. Based on the Fogg behaviour model, initial criteria and sub-criteria were constructed, and a new hybrid multiple criteria decision-making (MCDM) model was used in this study that combines the Decision-Making Trial and Evaluation Laboratory (DEMATEL) technique and the analytic network process (ANP) method to determine the interaction between factors and to determine the weight of each factor. Finally, the PROMETHEE method was utilised to rank and develop the consumer interaction capability of the VBC of Chinese mobile internet enterprises. Once these perceptions were captured, among the three criteria determined for the evaluation of the VBC of different mobile internet enterprises, affective involvement was the most important criterion, followed by motivation and environment triggers. Moreover, the VBCs of three communication enterprises were evaluated and ranked to validate the proposed model.

scholarly journals A Hybrid Multiple Criteria Decision-Making Technique to Evaluate Regional Intellectual Capital: Evidence from China

Mathematics ◽  
2021 ◽  
Vol 9 (14) ◽  
pp. 1676
Author(s):  
Chao Liu ◽  
Kexin Li ◽  
Peng Jiang ◽  
Ding Li ◽  
Liping Su ◽  
...  
Keyword(s):  
Decision Making ◽  
Intellectual Capital ◽  
Hybrid Method ◽  
Relative Weight ◽  
Multiple Criteria Decision Making ◽  
Analytic Network Process ◽  
Multiple Criteria ◽  
Current Status ◽  
Resource Endowment ◽  
Network Process

With the dawn of economic globalization and the knowledge economy, intellectual capital has become the most important factor to determine economic growth. However, due to resource endowment, location conditions, policy differences, and other factors, provinces in China show sizeable differences in regional intellectual capital (RIC), which affects the coordinated development of the regional economy. Evaluating RIC is a typical multiple-criteria decision-making (MCDM) problem. Therefore, this study employs a set of MCDM techniques to solve this problem. First, the Delphi method is used to determine the formal decision structure based on a systematic literature review. A novel hybrid method, namely, the Grey-based Decision-Making Trial and Evaluation Laboratory (DEMATEL) and Analytic Network Process (ANP), i.e., GDANP, is employed to obtain the relative weight of each criterion. Finally, based on the data of 31 provinces in China, the Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS) is used to evaluate the RIC. According to the questionnaires filled out by an expert panel, we establish an evaluation index of RIC with 21 criteria. Based on the results of empirical study, the level of RIC in different regions in China is quite different. Furthermore, the RIC ranking is largely consistent with the provincial gross domestic product (GDP) ranking, in line with the current status of development in the regions. Indeed, this paper shows that the proposed hybrid method can effectively measure the level of RIC.

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