A fuzzy DEMATEL decision modeling framework for identifying key human resources challenges in start-up companies: Implications for sustainable development

Priyanka, Ramesh; Ravindran, Kandasamy; Sankaranarayanan, Bathrinath; Ali, Syed Mithun

doi:10.1016/j.dajour.2023.100192

Cited by 27 publications

(10 citation statements)

References 65 publications

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“…The AHP method has been widely recognized for its ability to simplify and quantify complex decision-making scenarios, as evidenced in numerous studies across different fields [ [61] , [62] , [63] ]. Similarly, the fuzzy DEMATEL method has been undertaken for its ability to handle ambiguity and complexity in data, making it a popular choice in multidimensional analyses [ 64 , 65 ]. Fig.…”

Section: Methodsmentioning

confidence: 99%

Assessing and prioritizing drivers and strategies for transition to a green energy for sustainable development in China

Yang,

Li,

Solangi

2024

Heliyon

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Section: Methodsmentioning

confidence: 99%

Assessing and prioritizing drivers and strategies for transition to a green energy for sustainable development in China

Yang,

Li,

Solangi

2024

Heliyon

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“…Systematic evaluation with Fuzzy DEMATEL benefits the areas of strategic leadership, decisionmaking, environmental strategy formation, and quality and technology assessment, where elements are interrelated and evaluation parameters are subjective [25][26][27][28].…”

Section: A Detailed Insight On the Fuzzy Dematel Methodologymentioning

confidence: 99%

Prioritising Yarn Quality Via Varying Top Roller Hardness: A Fuzzy Application

Raian,

Hossen,

Saha

et al. 2024

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In recent years, the spinning or yarn manufacturing sector has seen remarkable technological advancements, emphasizing high-quality yarn production, especially for cotton combed ring spun yarns. In the case of better quality ring spun combed yarn, each part of the ring frame is significant. To fulfil this issue, this study focuses on understanding the impact of the drafting roller hardness on cotton-combed ring-spun yarn quality. It delves into how ten top and bottom roller hardness combinations influence yarn quality parameters. The cotton combed yarns underwent rigorous testing after spinning on ring frames with varying drafting roller hardness. Key quality parameters studied included yarn Imperfection Index (IPI), Unevenness (Ue%), Hairiness (Hi), Elongation at break (Eb%), and Count Strength Product (CSP), and Tenacity (Te). The primary insight was that extreme roller hardness adversely affects all parameters except Elongation at the break value obtained for the shore hardness value of 80/83. Yarns produced using medium-hardness rollers showcased fewer imperfections due to more consistent fibre flow and minimized drafting slippages, resulting in an even twist. These findings are pivotal for the yarn manufacturing industry, hinting at potential refinements in production methods. The usage of the Fuzzy DEMATEL (Decision-Making Trial and Evaluation Laboratory) methodology also determined that Te CSP) and IPI values significantly influence the combed yarn quality when adjusting roller hardness, whereas Hi is the least influential. Therefore, this study offers twofold insights: determining the optimal roller hardness and identifying the most affected quality parameters.

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“…The DEMATEL mathematical method can be used to analyze the causal interdependence and association among the dimensions in order to successfully solve a In this research project, DEMATEL has been used as a solution methodology. For policymakers to develop enduring decision-making strategies for achieving the desired outcome, it has been demonstrated that DEMATEL is an effective methodology for addressing the issue [14]. This approach is used to identify the cause-and-effect relationship among the obstacles.…”

Section: Methodsmentioning

confidence: 99%