جستجوی مقالات مرتبط با کلیدواژه « الگو سازی ساختاری تفسیری » در نشریات گروه « مدیریت »

The aim of this study was to identify the indicators of staff competency development in the center of evaluation and development in the judiciary affiliated to the judiciary in Yazd province. This research is a descriptive study with applied purpose and has been done in a mixed way (qualitative and quantitative). First, by reviewing the literature on the subject of research and then by Delphi method, indicators of employee competency development in order to create a center for evaluation and development are identified and in the next step, using interpretive structural modeling, relationships between dimensions and indicators are determined and analyzed. Is located. Based on the research literature and Delphi method, 7 dimensions and 32 indicators were identified. The main dimensions are structural factors, contextual factors, behavioral factors, factors related to the characteristics of evaluators, competency indicators, characteristics of those evaluated and competency assessment tools. The results show that in model leveling, competency assessment tools were identified in the first level as a dependent variable and structural factors in the sixth level as an independent variable. It is suggested that the improvement of structural factors that are the basis of the model be given priority and in accordance with the set indicators, measurement tools be developed and used for the development of employees and managers.

Export of high-tech products and services is a quick shortcut according to the development program goals, comparative advantages and current situations and requirements of Iran, which requires non-traditional methods, especially digital marketing. While many digital marketing variables require environmental stability and predictability, a significant number of variables and components have dynamic specifications and their optimization capability requires a nonlinear approach. Can paying attention to dynamic features accelerate and facilitate the achievement of digital marketing goals? What are its dynamics variables? New concepts have been identified and introduced in response to these questions in this article, which include: dynamic mix marketing, customer dynamics, dynamic environment, employee dynamics, dynamic economy, dynamic organization, dynamic financial support, dynamic life cycle and dynamic strategy Based on interpretive structural modeling, their role in optimizing the export of High-tech is confirmed to be effective. In this applied research, an attempt has been made to identify and classify 22 variables into nine components through inductive, scientific and combined methods in a pragmatic paradigm of four levels. The dynamic customer component in the model gained the highest priority. At the same time, the findings showed that the variables related to the components of dynamic organization, dynamic marketing mix, dynamic financing, employee dynamics and dynamic life cycle have a strong ability in planning to improve the effectiveness of the model, respectively.

Achieving success in an industrial cluster depends on avariety of variables. A fertile research soil in this regard seems to be investigation of the very concept of value from different perspectives. The aim of this study was thus to identify barriers to value creation in auto part industry of East Azarbaijan and to scrutinize them using ISMtechniqueThe research population comprised 220 managers of auto part manufacturing companies who were members of auto-part manufacturer forum of East Azarbaijan. A sample of 71 was further selected from the population based on Cochran's formula. Two questionnaires were distributed to glean the research data: one focused on identifying the value creation barriers and the other on pinpointing the inter-relationships among those barriers. Value creation barriers were identified via t-test analysis of the research data and the ISM technique was implemented in structuring the identified barriers. The findings emerging from the ISM analysis delineated "nonsufficient experience", "poor inter-personal communication" and "technological changes" as the most influential barriers, and "lack of innovative ideas", "low quality of manufacturing" and "routine thinking" identified as the most influenceable barriers to value creation in the auto part industry. The findings suggest that the barriers could be adequately overcome by promoting work relationships among the personnel, employing experienced experts and reinforcing research and development in monitoring new technologies in automotive industry.

Due to the intensity of competition, rapid obsolescence of technologies and rapidly changing customer needs in recent years, new product development (NPD) in manufacturing industries has become a very important success factor. Hence, identifying factors that influence the success of NPD has been a central point for many researchers, each of whom has narrowly looked only at one certain aspect in it and ignoring the interconnection among different factors pertaining to it. Accordingly, the purpose of this study is to design a comprehensive process model of factors affecting NPD. To reach this end, different factors were identified after exploring previous researches using meta-synthesis and finally, a process model was designed based on interpretive structural modeling (ISM). The findings of meta-synthesis show that 29 factors affect NPD. Also, the process model suggests that these different factors fall into 12 levels, among which environmental, cultural and managerial actors are the fundamental ones and of great importance.