...-Making Trial and Evaluation Laboratory method is used to assess the influence and interdependencies of these barriers. A sensitivity analysis further validates the robustness of the findings. Findings The research uncovers significant barriers to I4.0 adoption, emphasizing their cause-and-effect...

... for Order of Preference by Similarity to Ideal Solution (TOPSIS) to rank the TPM KSFs in order to achieve social sustainability, followed by a sensitivity analysis to assess the methodological robustness. Findings The findings indicate that the top five TPM KSFs influencing social sustainability...

... 12 03 2022 © Emerald Publishing Limited 2022 Emerald Publishing Limited Licensed re-use rights only Barrier Blockchain Best worst method (BWM) Food supply chain Sensitivity analysis Globalisation, regulation, quality focus consumers and complicated structure of supply...

... and soved with the help of the PROMETHEE II approach. The study also provides fundamental insights into the supplier's ranking on different criteria using sensitivity analysis. Further, criteria were divided as per benefits and non-beneficial to get a robust result. The pros and cons of PROMETHEE II...

... by the best-worst method (BWM) approach, one of the novel multi-criteria decision-making (MCDM) methods. Further, the results have been drawn after running accuracy check of the rankings (based upon optimal weights) and testing the robustness of the ranked-order model through sensitivity analysis. Findings...

... implementation. The outcomes were validated with the aid of sensitivity analysis. Findings The above models offer the industry a clear and straightforward way to understand the critical factors in the status of Industry 4.0 implementation. The two techniques have emerged to be influential in deciding...

... for ranking the candidate firms based on their performance on identified criteria. The implementation of the proposed methodology is demonstrated through an explanatory example. Sensitivity analysis is carried out to judge the robustness of the proposed framework. Findings The proposed framework provides...

... and business performance of the organisation in the Indian context. Design/methodology/approach A two-stage, structural equation modelling (SEM) and artificial neural network (ANN) methodology are employed for the analysis, and for verifying the robustness of the developed model sensitivity analysis...

.... Design/methodology/approach The two-stage network data envelopment analysis (DEA) approach (i.e. variable return to scale and constant return to scale) is used for the measurement of performance in the Indian banking sector. To verify the robustness of the proposed study, sensitivity analysis is also...

... Sensitivity analysis Case study Supplier evaluation In developing economy like India, the small- and medium-sized enterprises (SMEs) sector has a vital role to play in its gross domestic product, industrial production and employment creation. According to Ministry of Micro, Small and Medium...

... which encounter both objective as well as subjective evaluation data. Findings – An empirical case study has been demonstrated in the context of robot selection problem. Finally, a sensitivity analysis has been performed to make the robot selection process more robust. A trade-off between...

... for the study. Also, the expert committee helped us to determine the relative importance of criteria through fuzzy AHP: Performance evaluation Sensitivity analysis Fuzzy AHP Ranking MOOSRA Private engineering college The core of human resource development is education, which plays...

... telecommunication sector. The result includes performance efficiency and peer‐to‐peer comparison of inefficient utilities with efficient utilities. Based on these results, inefficient utilities can develop strategic plans to improve their performance. Sensitivity analysis, based on removal of one or more variables...

.... The gap analysis results are then compared to the MAUT utility values, and a sensitivity analysis is performed to compare the two methods. Findings The results indicate that an approach based on MAUT is advantageous in its ability to consider all critical metrics in a benchmarking study. The MAUT...