درخت حوزه‌های تخصصی

This study explored the relationship between organizational culture, total quality management (TQM), and performance in auto parts manufacturing companies in Isfahan, Iran. The study was a correlational survey following applied purposes. The statistical population included all members in such sections as management, quality control, sales, research and development, and human resources of 21 auto parts manufacturers found in Isfahan, Iran. A total number of 95 questionnaires were distributed, and based on the Morgan table, 76 individuals were selected as the participants in this research. The questionnaire consisted of 66 questions measuring the research variables although it did not record demographic information. To investigate the hypotheses of the research, inferential statistics procedures were processed in Smart-PLS software. The results of data analysis revealed that the culture dominating these industrial units was characterized by “adhocracy culture” and “clan culture”, as a result of which the companies prioritized flexibility over control. Among the TQM dimensions, “activity focus” showed the highest degree of development, whereas “customer focus” was the least developed factor. Furthermore, the results obtained from the structural equation model demonstrated that TQM mediated the relationship between organizational culture and performance, while TQM had a significant relationship with performance, and the overall power of organizational culture left a positive effect on performance.

Allocating fixed costs with undesirable data has recently been one of the most important issues for managers to discuss. Lack of attention to undesirable data may lead to incorrect cost allocation. Considering and determining undesirable inputs and outputs, data envelopment analysis (DEA) technique can be significantly helpful in determining the cost allocation strategy. In-puts and outputs are divided into two desirable and undesirable groups. Obviously, desirable inputs and undesirable outputs must be reduced and undesirable inputs and desirable outputs must be increased to improve performance. This manuscript presents two strategies for allocating fixed costs with undesirable data. In the first strategy, each decision making unit (DMU) first determines the minimum and maximum shares that it can receive from the fixed resources while the efficiency of that DMU and other DMUs re-mains the same after receiving the fixed resources. Finally, the decision maker chooses the fixed cost for each DMU between the minimum and maxi-mum cost values proposed. In the second strategy, the allocation of fixed costs is done using the CCR multiplicative model with undesirable data. The effectiveness of both methods is examined by an applied study on the commercial banks.

According to published reports on the level of internalization of commercial vehicles, it shows that most carmakers pursue a minimal domestic manufacturing policy and less have a policy of increasing domestic manufacturing on their agenda. The most important research gaps are need to study R&D activities in the form of a dynamic system in the automotive industry based on the three variables of supply network capabilities, product innovation and process. The purpose of this study is to provide a dynamic model to investigate the behavior of a commercial vehicle R&D system. The present study is applied in terms of purpose. The basis of the system analysis is previous research as well as information obtained from interviews with automotive industry experts. For this purpose, first the variables affecting the cycle of R&D activities are studied and modeling is presented using the dynamics approach. Also, various policies on the performance of the development research cycle based on the time of knowledge acquisition and product introduction have been simulated and analyzed. The results of system performance simulation show that the weak share of research and development budget along with low and limited market share and lack of proper investment makes the research and development capability at an unfavorable level during the next 10 years. Therefore, it is suggested that the necessary measures in this regard be taken in the fields of product sales marketing along with appropriate investment in research and development.