scholarly journals MODEL PERSAMAAN STRUKTURAL (STRUCTURAL EQUATION MODEL) PENGUJIAN MODEL HUBUNGAN SOCIAL IDENTITY DENGAN GROUP DECISION MAKING

Author(s):  
Yahya Yahya

<p>This article examines the model theory of out-group threaths, Social Identity and Group Decision Makings and finds out the contribution of out-group threaths and Social Identity toward the decision makings process by applying structural equation model, AMOS 6. Results showed that while out-group threats are salients influenced the positive of social identit which affected to the group decision making process.  These findings support previous research conducted by Thompson dan Kray (1998) found that there is a positive relations between social identity and group decision making.</p>

2011 ◽  
Vol 10 (2) ◽  
Author(s):  
Boge Triatmanto

Objective of the research was to examine empirically the influence of human resources empowerment, directly and indirectly, through organization resilience on an organization performance. Objectives of the research in detail were to analyze and examine empirically the influences of: human resources empowerment on organization performance, human resources empowerment on organization resilience, and organization resilience on organization performance. Population of the research was 69 star hotels, which spread over the East Java Province. 34 hotels were taken as samples. The respondents were 216 managers. Samples were taken using proportional sampling method and data analysis of the research used SEM (Structural Equation Model). The main finding of this research was that the organization performance would be enhanced if the human resources were empowered in participating to achieve the organization goal, commit to the organization, and have greater authority and responsibility in decision-making process. This influence will be stronger if it is followed by the organization capability to adapt to any change at the organization environment.


Mathematics ◽  
2021 ◽  
Vol 9 (13) ◽  
pp. 1554
Author(s):  
Dragiša Stanujkić ◽  
Darjan Karabašević ◽  
Gabrijela Popović ◽  
Predrag S. Stanimirović ◽  
Muzafer Saračević ◽  
...  

The environment in which the decision-making process takes place is often characterized by uncertainty and vagueness and, because of that, sometimes it is very hard to express the criteria weights with crisp numbers. Therefore, the application of the Grey System Theory, i.e., grey numbers, in this case, is very convenient when it comes to determination of the criteria weights with partially known information. Besides, the criteria weights have a significant role in the multiple criteria decision-making process. Many ordinary multiple criteria decision-making methods are adapted for using grey numbers, and this is the case in this article as well. A new grey extension of the certain multiple criteria decision-making methods for the determination of the criteria weights is proposed. Therefore, the article aims to propose a new extension of the Step-wise Weight Assessment Ratio Analysis (SWARA) and PIvot Pairwise Relative Criteria Importance Assessment (PIPRECIA) methods adapted for group decision-making. In the proposed approach, attitudes of decision-makers are transformed into grey group attitudes, which allows taking advantage of the benefit that grey numbers provide over crisp numbers. The main advantage of the proposed approach in relation to the use of crisp numbers is the ability to conduct different analyses, i.e., considering different scenarios, such as pessimistic, optimistic, and so on. By varying the value of the whitening coefficient, different weights of the criteria can be obtained, and it should be emphasized that this approach gives the same weights as in the case of crisp numbers when the whitening coefficient has a value of 0.5. In addition, in this approach, the grey number was formed based on the median value of collected responses because it better maintains the deviation from the normal distribution of the collected responses. The application of the proposed approach was considered through two numerical illustrations, based on which appropriate conclusions were drawn.


2015 ◽  
Vol 713-715 ◽  
pp. 1769-1772
Author(s):  
Jie Wu ◽  
Lei Na Zheng ◽  
Tie Jun Pan

In order to reflect the decision-making more scientific and democratic, modern decision problems often require the participation of multiple decision makers. In group decision making process,require the use of intuitionistic fuzzy hybrid averaging operator (IFHA) to get the final decision result.


2017 ◽  
Vol 4 (1) ◽  
pp. 44
Author(s):  
Dimas Khurniawan ◽  
Mohammad Dimyati ◽  
Deasy Wulandari

The purpose of this study acclaims the important of Auditory, Visual and Tactile in affecting consumer’s decision makingbehavior of buying, it is also to figure out it’s impact in Aqua. Thus, it is important to study “The Impact Of SensoryBranding’s Elements On Consumer’s Decision Making Behavior Of Buying Aqua With Neuromarketing Approach InJember”. The population in this study are Aqua’s consumers in Jember. Sampling is taken using purposive sampling methodfrom 100 respondents. Instrument analysis in this study is performed using Structural Equation Model (SEM) withconfirmatory approach. The result shows that: 1) auditory significantly affects consumer’s decision making behavior of buyingAqua in Jember, 2) visual significantly affects consumer’s decision making behavior of buying Aqua in Jember, and 3) tactilesignificantly affects consumer’s decision making behavior of buying Aqua in Jember.


2021 ◽  
pp. 1-25
Author(s):  
Pei Liang ◽  
Junhua Hu ◽  
KwaiSang Chin

The use of probabilistic linguistic preference relations (PLPRs) in pairwise comparisons enhances the flexibility of quantitative decision making. To promote the application of probabilistic linguistic term sets (PLTSs) and PLPRs, this paper introduces the consistency and consensus measures and adjustment strategies to guarantee the rationality of preference information utilized in the group decision making process. First of all, a novel entropy-based similarity measure is developed with PLTSs. Hereafter an improved consistency measure is defined on the basis of the proposed similarity measure, and a convergent algorithm is constructed to deal with the consistency improving process. Furthermore, a similarity-based consensus measure is developed in a given PLPR, and the consensus reaching process is presented to deal with the unacceptable consensus degree. The proposed consistency improving and consensus reaching processes follow a principle of minimum information loss, called a local adjustment strategy. In particular, the presented methods not only overcome the deficiencies in existing studies but also enhance the interpretation and reduce the complexity of the group decision making process. Finally, the proposed consistency measure and improving process, as well as consensus measure and reaching process are verified through a numerical example for the medical plan selection issue. The result and in-depth comparison analysis validate the feasibility and effectiveness of the proposed methods.


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