It is essential to effectively integrate supply chain management and quality management, but a quality chain of suppliers and customers is a complex system relationship that remains poorly understood. An improved DEMATEL (Decision making trial and evaluation laboratory) and ISM (Interpretive structural modeling) integration approach was proposed to establish a systematic causal and hierarchical relationship of the quality enablers of supplier chain quality management (SCQM). The MICMAC method (cross-impact matrix multiplication applied to classification) was also used to classify the quality enablers of SCQM based on driving force and dependence force. The results suggest that organizations that develop SCQM implementation strategies should focus on quality enablers with high driving force, particularly on the quality enablers of strategy and leadership, information system usage and analysis, and cooperation and synergy of suppliers.
In this paper, the impact of task-technology fit (TTF) on improving the performance of Meituan app is explored. Nowadays, with broad research scope, the research on TTF covers many fields, and it is found to be applicable to many fields. However, few scholars have researched about performance from the perspective of TTF. Therefore, with the help of the structural equation model (SEM), attitudes have been empirically verified and analyzed to build a structural model involving TTF, attitudes, user behavior, and performance in this paper. The results showed that the fit degree of task technology significantly affects the performance of Meituan app positively, and attitudes positively affect the user behavior of Meituan app users. Moreover, the two factors directly affect the performance of Meituan app, among which the user behavior of Meituan app users positively affects its performance. In addition, suggestions, such as continuously optimizing users’ feedback and giving users positive responses in terms of user experience, have been proposed, so that they will continue using the application (app).
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