scholarly journals APPLICATION OF FUZZY DELPHI METHOD ON WOMEN AS DECISION MAKER LEADERSHIP SELF-EFFICACY AND LEADERSHIP SKILL’S ITEM

2021 ◽  
Vol 4 (16) ◽  
pp. 13-24
Author(s):  
Nuha Abdullah ◽  
Norasmah Othman
Keyword(s):  
Decision Making ◽  
Delphi Method ◽  
Content Validity ◽  
Self Efficacy ◽  
Leadership Skills ◽  
Decision Makers ◽  
Public And Private ◽  
Fuzzy Delphi Method ◽  
Fuzzy Delphi ◽  
Women In Decision Making

The policy of 30% women representation as decision-makers in Malaysia has not been achieved even in 2021. This is due to the lack of women in decision-making positions in the public and private sectors. There are two factors for the lack of women in decision-making positions; leadership self-efficacy and leadership skills. In order to fulfil the policy of 30% women representation in decision-making positions, empirical research should be carried out to measure the level of leadership self-efficacy and leadership skills among female government officers who hold positions of Grade 48 and above. A research instrument that consists of items that measure leadership self-efficacy and leadership skills has been developed. A content validity process was carried out to ensure that the items would measure the dimensions that need to be measured. Hence, this study applied the Fuzzy Delphi Method (FDM) in order to obtain experts’ consensus regarding the items that are relevant in measuring the dimensions of leadership self-efficacy and leadership skills of women as decision-makers. 14 expert panelists were involved in this research and all of the data collected were analysed using the FDM. Results of the analysis showed that 30 items developed for the leadership self-efficacy dimension and 25 items developed for the leadership skills dimension fulfilled the required conditions which are the threshold (d) ≤ 0.2, the value α-cut ≥ 0.5, and over 75% expert panelists’ consensus. It is hoped that the research results would lead to the innovation of applying the FDM in determining the content validity of the items developed in measuring dimensions such as measuring the dimensions of leadership self-efficacy and leadership skills among women.

scholarly journals Designing Project-based Learning (PjBL) Activities for Art and Design E-Portfolio Using Fuzzy Delphi Method as a Decision Making

2015 ◽  
Vol 11 (28) ◽  
pp. 45 ◽  
Author(s):  
Syamsul Nor Azlan Mohamad ◽  
Mohamed Amin Embi ◽  
Norazah Nordin
Keyword(s):  
Decision Making ◽  
Best Practices ◽  
Delphi Method ◽  
Project Based Learning ◽  
Art And Design ◽  
Pedagogical Strategy ◽  
Fuzzy Delphi Method ◽  
International Perspectives ◽  
Fuzzy Delphi ◽  
Selection Of

<p>The present articles introduces the Fuzzy Delphi Method results obtained in the study on designing Project-based Learning (PjBL) activities for art and design courses using Fuzzy Delphi Method (FDM) as a decision-making.This method bases on qualified experts that assures the validity of the collected information. In particular, the confirmation of elements is based on experts opinion and consensus. The consensus survey constructed based on the emergent themes the experts raised from the conducted interview. For this purpose of the study, 22 experts in Project-based learning involved in the interview and responses the consensus survey. The experts participated in this study involves local and international perspectives that contribute to the best idea and practises by their respective's institution. The selection of decision-making will reflect the e-Porfolio users which purposely design for art and design courses. As resulted, the Fuzzy Delphi will interpret the decision-making made by experts to suggest best practices of the pedagogical strategy infused in e-Portfolio system.</p><p style="margin: 0px; font-family: Times;"> </p>

scholarly journals A Hybrid MCDM Model to Select Optimal Hosts of Variety Shows in the Social Media Era

Symmetry ◽  
2020 ◽  
Vol 12 (1) ◽  
pp. 125
Author(s):  
Lee-Chun Wu ◽  
Kuei-Lun Chang ◽  
Sen-Kuei Liao
Keyword(s):  
Decision Making ◽  
Social Media ◽  
Delphi Method ◽  
Host Selection ◽  
Selection Criteria ◽  
Senior Executives ◽  
Fuzzy Delphi Method ◽  
Fuzzy Delphi ◽  
The Social ◽  
Variety Show

The selection of the optimal variety show hosts is a key to television stations. However, no study has a deal with this issue. In this paper, a hybrid multiple criteria decision-making (MCDM) model based on the fuzzy Delphi method, decision-making trial and evaluation laboratory (DEMATEL), analytic network process (ANP), and technique for order preference by similarity to ideal solution (TOPSIS) to choose optimal hosts of variety shows for television stations in the social media era was developed. The fuzzy Delphi method was taken as a screening tool for the selection criteria of variety show hosts. Then, DEMATEL was applied to verify the interdependencies between the perspectives. According to the interdependencies, ANP was employed to obtain weights. Finally, TOPSIS ranked the alternatives. The selection criteria were gathered from previous researches and discussions with senior executives of television stations. By the fuzzy Delphi method, 12 criteria were identified. Based on the past study and consultations with four senior executives, we classified 12 essential criteria into four perspectives to develop the hierarchy for the variety show host selection. Under the hierarchy base on four perspectives and 12 criteria, managers of television stations could select the optimal variety show hosts more effectively. The usability and efficiency of the proposed model were also considered by a case study. We offered a distinct contribution to the prior studies by providing a model in the variety show host selection field. In the context of social media competition, this study also added the selection criteria from Internet celebrities.

scholarly journals A Hybrid Multiple Criteria Decision Making Model for Supplier Selection

2013 ◽  
Vol 2013 ◽  
pp. 1-8 ◽  
Author(s):  
Chung-Min Wu ◽  
Ching-Lin Hsieh ◽  
Kuei-Lun Chang
Keyword(s):  
Decision Making ◽  
Delphi Method ◽  
Supplier Selection ◽  
Multiple Criteria Decision Making ◽  
Analytic Network Process ◽  
Multiple Criteria ◽  
Sustainable Supply Chain ◽  
Fuzzy Delphi Method ◽  
Fuzzy Delphi ◽  
Sustainable Supplier Selection

The sustainable supplier selection would be the vital part in the management of a sustainable supply chain. In this study, a hybrid multiple criteria decision making (MCDM) model is applied to select optimal supplier. The fuzzy Delphi method, which can lead to better criteria selection, is used to modify criteria. Considering the interdependence among the selection criteria, analytic network process (ANP) is then used to obtain their weights. To avoid calculation and additional pairwise comparisons of ANP, a technique for order preference by similarity to ideal solution (TOPSIS) is used to rank the alternatives. The use of a combination of the fuzzy Delphi method, ANP, and TOPSIS, proposing an MCDM model for supplier selection, and applying these to a real case are the unique features of this study.

scholarly journals Development of Sustainability Indicators for Employee-Activity Based Production Process Using Fuzzy Delphi Method

2020 ◽  
Vol 12 (16) ◽  
pp. 6378
Author(s):  
Chiuhsiang Joe Lin ◽  
Tariku Tamiru Belis ◽  
Dino Caesaron ◽  
Bernard C. Jiang ◽  
Tsai Chi Kuo
Keyword(s):  
Production Process ◽  
Delphi Method ◽  
Manufacturing Systems ◽  
Evaluation Model ◽  
Sustainable Manufacturing ◽  
Decision Makers ◽  
Screening Process ◽  
Fuzzy Delphi Method ◽  
Expert Opinions ◽  
Fuzzy Delphi

Production process sustainability refers to a manufacturing system in which manufacturing industries produce products in a sustainable way. In recent years, sustainability has become a major concern and challenge for manufacturing systems because of growing consciousness of the effects of their activities on the environment, society, and economy. Different organizational reports and the academic literature have proposed indicators of sustainable manufacturing that help to measure product and process sustainability. However, little of the previous research is related to employee-activity based indicators for production process sustainability. To bridge the gap, this study identified a set of indicators of production process sustainability based on direct and indirect impacts of manufacturing activities on employees, who are key resources in the entire production process, for efficiently applying a sustainability perspective. In addition, the paper provides an evaluation model for selecting relatively important indicators based on expert opinions. A fuzzy Delphi method was applied for the screening process of the decision makers (experts). A Delphi questionnaire prepared with a nine-point linguistic scale corresponding to respective linguistic variables was utilized to assess expert opinions on the importance of each indicator. These expert opinions were aggregated for each indicator by using an adopted algorithm that considers the degree of importance allocated to the decision makers, and the similarity and distance among decision maker opinions. Lastly, the key employee-activity based indicators were chosen based on the threshold value set.

scholarly journals Explicit scientific argument on science teaching as an inquiry: designing activity on online schema using fuzzy delphi method

2021 ◽  
Vol 1918 (5) ◽  
pp. 052071
Author(s):  
Z R Hendrastuti ◽  
S Siswanto ◽  
A Muhlisin ◽  
F Firmadani ◽  
H Hartono ◽  
...  
Keyword(s):  
Science Teaching ◽  
Delphi Method ◽  
Fuzzy Delphi Method ◽  
Fuzzy Delphi ◽  
Scientific Argument

scholarly journals A Scenario-Based Investigation of Surrogate Decision Making for Older Adults

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 703-703
Author(s):  
Yuxin Zhao ◽  
Benjamin Katz ◽  
Pamela Teaster
Keyword(s):  
Older Adults ◽  
Decision Making ◽  
Financial Management ◽  
Self Efficacy ◽  
Decision Makers ◽  
Surrogate Decision Making ◽  
Insurance Company ◽  
Surrogate Decision ◽  
Critically Ill Adults ◽  
Amazon's Mechanical Turk

Abstract Surrogate decisions involve complex, challenging choices; surrogate decision-makers make treatment decisions for approximately 40% of hospitalized adults and 70% of older adults, and up to 95% of critically ill adults of any age. The purpose of our study was to understand how people make decisions for others and how surrogate decision making is linked to people’s cognition, self-efficacy, and demographics, especially differences in acute (e.g., health and medical care, financial management, and end of life) versus general scenarios (spending time with family, contacting an insurance company on behalf of a family member). Participants were recruited through Amazon’s Mechanical Turk. We collected data from 290 adult participants aged 18 years or older. On average, people reported a higher level of confidence in general versus acute scenario. The differences of confidence in scenario-based surrogate decision-making links to decision-makers’ cognition, self-efficacy, the experience of decision-making, the experience of caregiving, and demographic factors.

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