Validation of Occupational Zoonotic Disease Questionnaire Using Fuzzy Delphi Method

Sulaiman, Hidayatul Fariha; Ismail, Rosnah; Yusoff, Hanizah Mohd; Anuar, Norziela; Jamil, Mohd Ridhuan Mohd; Daud, Faiz

doi:10.1080/1059924x.2019.1666763

Cited by 16 publications

(21 citation statements)

References 7 publications

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“…This method is deemed particularly highly reliable when more than ten experts in the given field were employed [105,106]. Additionally, to minimize the bias, it is important to involve experts in a study that possess extensive experience, high qualifications, and knowledge in the field or the subject matter [118]. Evidently, this study meets these requirements as it has involved 40 experts with a minimum of five-year work experience, possessed at least a bachelor's degree, and involved intensively in the planning and management of smart cities in the context of Malaysia (Table 8).…”

Section: Discussionmentioning

confidence: 99%

Understanding and Acceptance of Smart City Policies: Practitioners’ Perspectives on the Malaysian Smart City Framework

et al. 2021

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Whilst a plethora of research exists on the smart cities and project performance evaluations, only few studies have focused on the smart city policy evaluation from the perspective of its acceptance by practitioners. This paper aims to generate insights by evaluating the smart city policy through a developing country case study—i.e., Malaysia. This study employed a questionnaire survey method for data collection and analyzed the data by using Fuzzy Delphi analysis. A group of 40 practitioners was gathered in a focus group discussion through purposive sampling. The main objectives of this survey were to identify the understanding and acceptance levels of the seven smart city domains and respective strategies that are outlined in the Malaysian Smart City Framework. The results disclosed that the practitioners possessed divergent levels of understanding and acceptance in terms of smart city domains. The study participant practitioners accepted all understanding and acceptance objectives of smart economy, living, people, and governance domains (expert agreement 75–92% and threshold d value 0.123–0.188), but rejected all objectives for both smart environment and digital infrastructure domains (expert agreement 55–74% and threshold d value 0.150–0.212). Along with this, acceptance of smart mobility was also rejected (expert agreement 56% and threshold d value 0.245). The findings reveal that considering all opinions expressing dissensus is essential when building more inclusive smart city strategies. This study contributes to the smart city discourse as being one of the first in capturing professional practitioners’ understanding and acceptance on a national level smart city policy by applying the Delphi method in the smart city context. Most importantly, the study informs urban policymakers on how to capture the voices and perspectives of the general public on national and local smart city strategy and initiatives.

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Section: Discussionmentioning

confidence: 99%

Understanding and Acceptance of Smart City Policies: Practitioners’ Perspectives on the Malaysian Smart City Framework

et al. 2021

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“…The value of the threshold (d) will determine the level of expert consensus for each item. The threshold value (d) of each item ought not to surpass 0.2 (38,39) that implies that all expert agrees with that statement of that particular item. The value (n 1 ,n 2 ,n 3 ) representing the value of Fuzzy element and the value (m 1 , m 2 , m 3 ) representing average Fuzzy value for each item is required in determining the threshold value.…”

Section: Discussionmentioning

confidence: 99%

“…The second condition that needs to be observed in FDM analysis is group consensus among the experts must be equal to or greater than 75.0% (38,39). Afterward, the third condition in FDM analysis can be carried out through the defuzzification process, where the estimated fuzzy score (A) will be determined.…”

Section: Discussionmentioning

confidence: 99%

Experts’ Consensus to Identify Elements of Career Management Competencies in Work-Based Learning (WBL) Program Using Fuzzy Delphi Analysis

Marwan

Ali

2019

Int. J. Emerg. Technol. Learn.

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This study aimed to obtain experts’ opinion and consensus on the elements of career management competencies that can be developed through the Work-Based Learning (WBL) program in polytechnic. The research was used the Fuzzy Delphi Method (FDM) to obtain the result. An expert questionnaire based on the mapping analysis from the relevant document analysis and expert interviews has been constructed. This questionnaire contains 3 domains with 35 items and was administered to 16 respondents. Respondents of this study are experts who are appointed according to the expertise and experience in the implementation of WBL, particularly in polytechnic. The result of the analysis found that 31 elements in line with the FDM condition, which is the threshold value (d) surpass 0.2, group consensus among experts surpassing 75% and Fuzzy Score (A) exceeds 0.5. It indicates that all the experts had reached a strong consensus. Meanwhile, there are 4 elements were dropped due to did not meet the fuzzy score requirements. All elements of career management competencies were arranged by need and tailored according to experts ' recommendations. Our study underlines the importance of actual work experience through Work-Based Learning (WBL) to nurture the existence of career management competencies among polytechnics' students which may highly relevant to their career development. Thus, this study provides useful findings that can be used as material for research particularly in the field of career development learning, experiential learning, and tertiary education. As a result, this study produces a list of elements of career management competencies that are crucial for the graduate in an appropriate occupational direction. The result also may offer useful guidance to young workers to enter the labor market as a career-ready and competitive worker.

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“…The PLCs model and questionnaire were developed, focusing on FDM in the design phase (phase 2) and development phase (phase 3) of DDR. The two phases of the DDR were integrated and named as the design and development phase (phase 2) [11]. The method for each phase is summarized as illustrated in Table 1.…”

Section: Methodsmentioning

confidence: 99%

Development of Professional Learning Communities Model using Fuzzy Delphi Approach

Ismail¹,

Ishak²,

Kamaruddin³

2021

TEM Journal

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This article aimed to design and develop Professional Learning Communities (PLCs) model and a questionnaire survey instrument for Malaysian schools using Fuzzy Delphi Method (FDM) in the Design and Development Research (DDR). In Phase 1, literature on PLCs was reviewed to identify the needs of the professional learning communities’ model according to the local context. In Phase 2, an agreement of 14 experts on the questionnaire was obtained from FDM. In Phase 3, the evaluation of the questionnaire by 5 experts to assess the questionnaire’s usability was gathered. Based on the final results, a total of 121 items was accepted. The agreement of the experts was between (90% to 100%) and the value of the threshold, d was between (0.09 – 0.18). In conclusion, FDM in DDR is significant to be applied in the development of a model, practical and cost-saving.

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Validation of Occupational Zoonotic Disease Questionnaire Using Fuzzy Delphi Method

Cited by 16 publications

References 7 publications

Understanding and Acceptance of Smart City Policies: Practitioners’ Perspectives on the Malaysian Smart City Framework

Understanding and Acceptance of Smart City Policies: Practitioners’ Perspectives on the Malaysian Smart City Framework

Experts’ Consensus to Identify Elements of Career Management Competencies in Work-Based Learning (WBL) Program Using Fuzzy Delphi Analysis

Development of Professional Learning Communities Model using Fuzzy Delphi Approach

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