Fuzzy AHP approach to evaluate incentive factors of high-tech talent agglomeration

Shi, Jia-lu; Lai, Wen‐Hsiang

doi:10.1016/j.eswa.2022.118652

Cited by 20 publications

(8 citation statements)

References 71 publications

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“…Moreover, Cebi et al (2023) discussed that this technique is well suited to overcome inconsistency in experts' opinions and deals with both positivism and negativism. Similar results were discussed by Shi and Lai (2023), who mentioned that fuzzy theory is best suited to overcome ambiguities and vagueness. Linguistic terms are used to develop a pairwise comparison between identified criteria or alternatives (Shi & Lai, 2023).…”

Section: Methodssupporting

confidence: 82%

“…Similar results were discussed by Shi and Lai (2023), who mentioned that fuzzy theory is best suited to overcome ambiguities and vagueness. Linguistic terms are used to develop a pairwise comparison between identified criteria or alternatives (Shi & Lai, 2023). Eventually, this technique gives a crisp weight to analyse the rank of given criteria (Menı̇z & Özkan, 2023).…”

Section: Methodssupporting

confidence: 82%

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Assessing solutions to overcome Quality 4.0 barriers: a decision-making framework

Virmani,

Upadhyay,

Luthra

et al. 2023

TQM

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PurposeThe industrial revolution changed the market landscape significantly in all industrial sectors. It has a noteworthy impact on enhancing the quality of goods and services. The quality aspect is of utmost concern and determines the success or failure of any product. Therefore, the presented study analyses the key barriers and solutions of Quality 4.0.Design/methodology/approachTwenty barriers and fifteen solutions were identified using a literature review and investigated using a hybrid approach. Barrier weights were evaluated with the help of the fuzzy AHP method. Furthermore, the computed weights were used to perform computations in the next step using fuzzy-TOPSIS to prioritize the ranking of identified solutions.FindingsThe research results show that “Lack of applying advanced analytics to uncover Quality 4.0 initiatives” and “Lack of integrating data from various sources across the organization” are the topmost barriers. Furthermore, “Implement a leadership development program focused on Quality 4.0” and “Cross-departmental peer learning environment” are the topmost solutions.Practical implicationsManagers and industrialists can benefit from Quality 4.0 through improved decision-making, process efficiency, supply chain collaboration, agile quality management, enhanced customer experience and a culture of continuous improvement. This results in better quality, operational effectiveness and a competitive edge.Originality/valueThe solutions need to be mapped with barriers to adopting Quality 4.0. Furthermore, the research results involve novelty by prioritizing the solutions to overcome the anticipated barriers.

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Section: Methodssupporting

confidence: 82%

Section: Methodssupporting

confidence: 82%

Assessing solutions to overcome Quality 4.0 barriers: a decision-making framework

Virmani,

Upadhyay,

Luthra

et al. 2023

TQM

View full text Add to dashboard Cite

show abstract

“…Figure 3 shows an example of this type of multi-level hierarchical structure. Compared to other MCDM techniques (including the analytic network process (ANP), Delphi method, data envelopment analysis (DEA), and decision-making and trial evaluation laboratory (DEMATEL)), the AHP is easy to use and effectively provides weights and rankings [62]. However, because the AHP uses explicit values to express expert judgments and does not consider uncertainty and subjectivity, it is only applicable to crisp environments [63].…”

Section: Fuzzy Ahpmentioning

confidence: 99%

Performance Evaluation of Carbon-Neutral Cities Based on Fuzzy AHP and HFS-VIKOR

Yang,

Li,

Huang

et al. 2024

Systems

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Climate change threatens human survival and development. Cities, as the main gathering places for human production and life, serve as the focal points for the implementation of the policies related to energy efficiency, energy transition, and environmental protection. This study constructs an index system for the evaluation of carbon-neutral cities from the perspectives of carbon sources and carbon sinks. The system includes thirteen indicators under six dimensions. It combines objective and subjective data (i.e., statistical data and expert evaluations) by integrating two approaches: the fuzzy analytic hierarchy process (fuzzy AHP) and vise kriterijumska optimizacija i kompromisno resenje with hesitant fuzzy sets (HFS-VIKOR). We verify the efficacy of the proposed approach through a case study of thirteen low-carbon pilot cities in China. The results indicate that among these cities, Shenzhen performs the best, followed by Guangzhou and Hangzhou, while Kunming, Baoding, and Tianjin show poor performance in terms of carbon neutrality. Kunming and Baoding exhibit shortcomings mainly in carbon sources, while Tianjin faces deficiencies in both carbon sources and carbon sinks. Sensitivity analysis and comparative analysis show the availability and effectiveness of the proposed method. The proposed radar chart further highlights the improvement directions for each city to achieve carbon neutrality.

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“…Meanwhile, the relationship between talent and enterprise choice has changed, realizing the transformation from talent following enterprise to enterprise following talent. From the cultural atmosphere of the city to the office environment of the company, they all have an impact on the location selection of a business [53,54]. More importantly, there is a growing interest in how to form an ecosystem of innovation in a certain region [55].…”

Section: Conceptual Frameworkmentioning

confidence: 99%

Assessing the Potential for Developing Innovation Districts at the City Scale by Adapting a New Sustainable Entrepreneurial Ecosystems Method

Xu,

Du,

et al. 2023

Buildings

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Excellent previous case studies of innovation districts have provided a foundation for the integration of innovation and urban development. However, few researchers have evaluated the potential for developing innovation districts in inner city spaces. In this study, taking Qingdao as an example, the adaptive cycle theory was combined with entrepreneurial ecosystem theory to form a sustainable entrepreneurial ecosystem (SEE) framework, including the three criteria of conditions, outputs, and outcomes. This framework allows for the effective identification of key factors and areas within cities that influence the development of innovation districts. The results showed that the potential for developing innovation districts showed a concentric trend, i.e., higher in the downtown, highest in the suburbs, and lowest in the outer suburbs. Comparative analysis revealed that innovation sources were a key factor in the development of Qingdao’s innovation districts. In terms of cluster analysis, the northern and southwestern clusters in the suburbs were in the conservation (K) phase, and the eastern and downtown clusters were in the exploitation (r), suggesting that the former was the preferred location for innovation districts. This study facilitates the establishment of site-specific innovation districts at key locations to enhance the success of decision making.

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Fuzzy AHP approach to evaluate incentive factors of high-tech talent agglomeration

Cited by 20 publications

References 71 publications

Assessing solutions to overcome Quality 4.0 barriers: a decision-making framework

Assessing solutions to overcome Quality 4.0 barriers: a decision-making framework

Performance Evaluation of Carbon-Neutral Cities Based on Fuzzy AHP and HFS-VIKOR

Assessing the Potential for Developing Innovation Districts at the City Scale by Adapting a New Sustainable Entrepreneurial Ecosystems Method

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