higher education centers

The purpose of this research is to identify, validate and rank the drivers of education to gain competitive advantage of higher education centers.

the combined research method is based on mixed exploratory research (text review - qualitative - validation - prioritization). In the qualitative section, the statistical population was faculty members and heads of higher education centers and experts in the field of educational management, in the accreditation section, faculty members and heads of higher education centers in Tehran, and in the prioritization section of higher and middle managers of higher education centers in Tehran. In the qualitative section, using the snowball sampling method until reaching theoretical saturation, an in-depth interview was conducted with 12 experts, in the validation section, with a targeted non-probability method, 20 experts were interviewed using a semi-structured and structured checklist in three rounds, a face survey. and in the prioritization section, 35 people were selected and answered the matrix questionnaire with the purposeful sampling method. In order to determine the validity and reliability in the qualitative stage, necessary checks including acceptability (expert review) and confirmability (re-review by experts), in the validation stage, review and review of the survey were used, and in the prioritization section, the content of the matrix questionnaire was The opinion of comprehensibility and expressiveness was confirmed by five academic and organizational experts and the rate of inconsistency of the criteria was calculated between 0.03 and 0.07. Qualitative data were analyzed with ground theory technique in Atlas software, validation data with Delphi technique in SPSS software, and prioritization data with Analytic Hierarchy Process (AHP) technique in Expert Choice software.

The results of the qualitative and validation section indicated that the paradigmatic model had 26 drivers, and the results of the prioritization section also indicated the greater importance of "outcome" and the "smart management and leadership" component.

Conclucion: 

Considering the important role that higher education centers play in society and are trying to solve part of the country's problems; it is very important to pay attention to the factors affecting the acquisition of competitive advantage. The results showed that the explanatory factors of competitiveness are among the current needs of higher education centers to gain competitive advantage and successful performance in scientific fields.

The aim of the study was to model the components of strategic intelligence with an emphasis on the role of job-creating skills in higher education centers (HEC). For this purpose, a mixed-method based on qualitative-quantitative studies was used. The statistical population in the qualitative part for conducting semi-structured interviews related to data theory including professors of Golestan universities, and in the quantitative part using a researcher-made questionnaire consisting of professors of Gorgan universities. Data analysis in the qualitative part used the grounded theory method based on Strauss-Corbin theory and in the quantitative part structural equation modeling and LISREL software was used. Based on qualitative findings, the most important organizational skills that create employment in the HEC of the province are communication, teamwork, information technology, management, problem-solving, planning, and learning. The results of the analysis using the structural equation model method showed that organizational skills and strategic intelligence have a positive-significant effect on employment in Gorgan HEC. Strategic intelligence can be divided into three main components: strategic management, intelligence related to other universities, and environmental intelligence. The validity of the questionnaire was confirmed by calculating the CVR index and Cronbach's alpha of all dimensions was above 0.7.

Higher education centers are the axis of the sustainable social, economic, political, cultural, and scientific development of human societies; as a result, their efficiency evaluation has attracted a lot of attention at the international level. Data envelopment analysis models (DEA) are one of the most successful, efficient and practical efficiency measurement techniques due to their special features and advantages. DEA models, in addition to measuring relative efficiency, are also able to provide the necessary planning to improve efficiency. Hence, so far, a lot of research has used DEA models to measure the efficiency of higher education centers. In this study, in order to measure the quality of performance of higher education centers, one of the DEA models called Input efficiency profiling model (IEP) has been used, as well. The proposed model is a new evaluation model called Improved input efficiency profiling – Super efficiency model (IIEP – SE), which has improved the performance of IEP model by addressing some of its shortcomings. It has been shown by a numerical example and comparing the proposed model with other DEA models that the proposed model has necessary reliability and desirable performance. In order to plan for achieving the efficiency of the inefficient units, pattern and reference units and the amount of necessary change in the input and output criteria for each of the inefficient units have also been determined.

This study aims to provide a learning organization SEM and the application of done at Tehran University. The research method is descriptive-correlational and analytical method was SEM. The population was University of Tehran staffs on the number of 2730 people. Sample size by using Cochran sampling formula and simple random sampling, were selected 243 people. To collect data, a questionnaire based on the model of Peter Senge (1990) designed by reliability (94/0 = α). Also evaluated and approved content and construct validity. For data analysis, Kolmogorov-Smirnov structural equation modeling, and one-sample t-test, was used. The results showed that the learning organization model has been fitted to the data. Accordingly, the individual features of the paradigm (γ =0/24) and systematic approach (γ =0/52) been effective. Systematic approach to the common cause (β=0/51) and collective learning (β=0/44) and shared vision have also had an impact on collective learning (β=0/17) has had impact. Finally, mental models based on shared vision and collective learning as well as individual features common cause whatsoever. The results showed that the application of learning organization and all aspects of its application in the target population, below the average and only mental patterns was middle.

In Today’s competitive market, human resources are the most important competitive advantage and it considers as an organizational asset. Hence special attention has been paid to the role of talent in the organization. One of the most important issues related to talent management is optimum management of recruitment and retention. The aim of this study was Identification and ranking of the most important factors affecting on talent recruitment and retention at university. This paper has used an evaluation model based on analytical hierarchy process (AHP) to rank these factors. This study conducted at the University of Tehran (as the best university of country). For this purpose, pairwise comparison questionnaire was designed and data by using of these questionnaires were collected from deans. The results showed attribute of “university's brand and reputation” and sub attribute of “university's reputation in the academic community” among determined attributes and sub attributes, had highest impact on talent recruitment and retention at the University of Tehran.

Cloud computing is a new technology that considerably helps Higher Education Institutions (HEIs) to develop and create competitive advantage with inherent characteristics such as flexibility, scalability, accessibility, reliability, fault tolerant and economic efficiency. Due to the numerous advantages of cloud computing, and in order to take advantage of cloud computing infrastructure, services of universities and HEIs need to migrate to the cloud. However, this transition involves many challenges, one of which is lack or shortage of appropriate architecture for migration to the technology. Using a reliable architecture for migration ensures managers to mitigate risks in the cloud computing technology. Therefore, organizations always search for suitable cloud computing architecture. In previous studies, these important features have received less attention and have not been achieved in a comprehensive way. The aim of this study is to use a meta-synthesis method for the first time to analyze the previously published studies and to suggest appropriate hybrid cloud migration architecture (IUHEC). We reviewed many papers from relevant journals and conference proceedings. The concepts extracted from these papers are classified to related categories and sub-categories. Then, we developed our proposed hybrid architecture based on these concepts and categories. The proposed architecture was validated by a panel of experts and Lawshe’s model was used to determine the content validity. Due to its innovative yet user-friendly nature, comprehensiveness, and high security, this architecture can help HEIs have an effective migration to cloud computing environment.

Social capital is a new concept that’s been important in management literature in recent years. The importance of this concept has led to increase the researchers’ trends to develop models and diagnose new indexes. The main object of this research is exploring and designing a model to achieve foregoing goal. Social capital development in universities and higher education centers as fundamental places for making networks and social groups is so critical. Researchers after studying literature, use questionnaire for gathering data. The research method is mixed method. For qualitative data theme analysis and for analyzing quantitative data SPSS 19 software is used. Statistical analysis confirm the model and so Social capital development is accessible in two dimensions, subjective and objective, five components, individual, groups, organizational, structural and managerial, and twenty eight indexes.

Social capital is a new concept that’s been important in management literature in recent years. The importance of this concept has led to increase the researchers’ trends to develop models and diagnose new indexes. The main object of this research is exploring and designing a model to achieve foregoing goal. Social capital development in universities and higher education centers as fundamental places for making networks and social groups is so critical. Researchers after studying literature, use questionnaire for gathering data. The research method is mixed method. For qualitative data theme analysis and for analyzing quantitative data SPSS 19 software is used. Statistical analysis confirm the model and so Social capital development is accessible in two dimensions, subjective and objective, five components, individual, groups, organizational, structural and managerial, and twenty eight indexes.