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- W2017792344 abstract "Abstract This study aims to provide a clear direction towards successful future vision re-creation for top managers of the Taiwanese Automotive industry by assessing vision re-creation indices. In accordance with mainstream literature regarding vision creation, this study initially summarized several evaluation indices. Using the pre-test, which involved consulting 32 experts by sending out expert questionnaires, a hierarchical structure with two levels (evaluation dimensions and evaluation criteria) containing 15 indices total was developed. Furthermore, to provide a practical guide for the beginning of vision re-creation for top managers, in-depth interviews with 16 related background experts are carried out, and the three leading methods are generated from these interviews. Then, a fuzzy analytic hierarchy process (FAHP) is adopted to explore the weights of vision re-creation indices, and grey relational analysis (GRA) is utilized to rank the three leading methods. The results of this study produce the critical vision re-creation indices on which top managers ought to put more effort and provide the best leading method for starting and future proceeding of vision re-creation." @default.
- W2017792344 created "2016-06-24" @default.
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- W2017792344 date "2012-06-01" @default.
- W2017792344 modified "2023-09-25" @default.
- W2017792344 title "The assessment of vision re-creation indices for the automotive industry in Taiwan: A hybrid fuzzy model approach" @default.
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- W2017792344 doi "https://doi.org/10.1016/j.measurement.2012.02.004" @default.
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