درخت حوزه‌های تخصصی

Abstract Purpose: The purpose of the present study is presenting a model to provide the succession for the managers of Education & Training organization. The research method in terms of the purpose was practical/ fundamental one, in terms of collecting the data, it was descriptive- surveying and in terms of data type, it was mixed (qualitative & quantitative) exploratory one. Methodology: The population of the study in qualitative part includes academic experts and Tehran Education & Training top managers. Among them, the sample was selected according to purposive sampling and 10 person’s saturation method. The second group of the study population includes all heads and deputies (2400) of the Education Department in the provincial centers of the country. The sample size of 331 was selected by multilevel cluster sampling method. Data collection was done by library, semi-structured interviews (qualitative part) and research made questionnaire with 84 questions (quantitative part) was used. Interviews with experts indicate that the interview was valid and for measuring the reliability, theoretical coding based on fundamental data theory was used. For measuring the questionnaires’ validity, the face, content and construct validity were measured and for measuring the questionnaires’ reliability, Cronbach's alpha reliability coefficient and retest were used. According to the study research questions, descriptive statistics and inferential statistics (Verifiable and exploratory factor analysis and one sample t-test) were used in quantitative part using SPSS and Lisrel soft wares. Findings: The results of the study indicated that the models input that was the factors influenced on succession included, individual, organizational and procedural. The model output, that is the effective factors included, job satisfaction (job nature, development opportunities and organizational climate). Conclusion: According to mentioned components, the presented model had good fit. Also the results showed that the situation of succession, job satisfaction, coaching tasks and talent management was undesirable, but the situation of the leadership roles and human capital was desirable.

Multiplicity of the companies experiencing financial distress in different countries and as a consequence, their bankruptcy and the impacts on other companies have necessitated conducting research on methods of prediction of such conditions and also their effects on other companies in the market. In this regard, this research has investigated the financial distress spillover in the automobile supply chain companies. For doing so, the methods of default probability time series KMV and the distance from default of four supply chain companies of Iran Khodro and four supply chain companies of SAIPA were calculated. Then, the financial distress spillover in these two major companies was measured in separated models using multivariate GARCH model. The results of the default probability of Iran Khodro companies showed that the default probability with pause of Khodro on the default probability of supply chain companies was significant and negative in 10% level. The results for SAIPA supply chain companies revealed that the default probability with pause of Khaspa had an impact on default probability of Kaspa, Pask and Khazin in significance level of 10%.