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- W4319781156 abstract "To transform the nation’s manufacturing industry into one that is robust and inventive, soft TQM must be implemented. Soft TQM practices are viewed as a vital management strategy for product (PD) and process (PC) innovation that will enable firms to successfully navigate their digital transition. The goal of this research is to build a holistic knowledge of the impact of five soft TQM practices including top management commitment (TMC), empowerment (EM), training (TR), involvement (IN), and teamwork (TE) on PD and PC among manufacturers. Using 222 valid data, the two-hidden-layer deep learning ANN results show that IN has the significant impact on PD with a 100% normalized relative importance (NRI), followed by EM (78.35%), whereas TR (100%), IN (95.63%), TE (91.36%), have a significant influence on PC. Firm size, interestingly, had a significantly influenced on PD, but an insignificant effect on PC. The study’s findings offer for a more thorough understanding of the value of soft TQM, with the goal of promoting the development of novel knowledge using DC theory for PD and PC." @default.
- W4319781156 created "2023-02-11" @default.
- W4319781156 creator A5063352515 @default.
- W4319781156 date "2023-01-01" @default.
- W4319781156 modified "2023-10-07" @default.
- W4319781156 title "Keys to Successful Product and Process Innovation Through Soft TQM: An ANN Approach" @default.
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- W4319781156 doi "https://doi.org/10.1007/978-3-031-25274-7_1" @default.
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