درخت حوزه‌های تخصصی

The present study aimed to identify the indicators and components of knowledge capital and human resource strategies in the Iranian higher education system. Participants in the present study were managers and deputies of human resources in the higher education system and university professors. Sampling was performed in a purposeful and theoretical manner. Theoretical saturation of the samples was obtained after interviewing 10 people. The number of samples was not determined before performing the study and the sampling process continued until some kind of information saturation was obtained, i.e. no new information was extracted from the data during the interview. The instrument of the present study was semi-structured interviews whose validity and reliability were confirmed by confirmatory factor analysis and Cronbach's alpha test. Three coding steps were used to analyze the data. Using open coding, model categories were identified. Then, in the axial coding stage, the link between these categories was determined in the form of a coding paradigm. In the selective coding process, the conceptual model was determined in the form of three dimensions and including 14 components as follows: knowledge process capability (knowledge application, knowledge transfer, knowledge integration, knowledge production), human resource strategies (recruitment, human resource development, employee performance, service compensation, working relations), and knowledge capital (human capital, structural capital, innovative capital, social capital, and process capital) were identified. According to the findings of this study, suggestions are presented so that the officials, decision-makers, and educational planners in the higher education system be familiar with the dimensions, components, and mechanisms of knowledge acquisition and human resource strategies in the higher education system and take necessary executive measures while planning and making the necessary policies.

In recent years, global reports on the irreparable damage of human economic activities to the environment, the need for efficient management systems capable of reducing pollutants and waste management and the optimal use of non-renewable resources, more than any other another time is needed. Therefore, in order to achieve this, a study was presented with the aim of designing and validating a model for green quality management in the food industry. The present study is an exploratory combination that through qualitative strategies with library study methods and grounded theory, a conceptual model is obtained and then through a quantitative strategy of structural equations with Smart PLS approach, the conceptual model of the research is tested and its goodness is calculated. Is. In the qualitative section, after extensive study in the theoretical literature on the subject and taking notes, as well as through theoretical and purposeful sampling with a selection of 24 experts and officials, a semi-structured interview was conducted. In the quantitative part, according to the Vinzy rule, 192 managers and experts of the food industry have been selected as a sample and the data have been collected using a researcher-made questionnaire. According to the findings of the qualitative section and after coding, finally 5 main categories and 19 sub-categories were extracted that green management of human resources from causal conditions and green management thinking as underlying conditions, technology management and environmental management system as intervening conditions. Green management innovation was selected as a strategy and also green supply chain as a consequence of green quality management model. The results show that the conceptual model designed with grounded theory approach was approved by experts and the GOF criterion was used to validate the model, which is higher than the level of fit classification based on the theory of Wetzel’s et al. (2009) which indicates that has it.