JOURNAL OF TRAINING AND DEVELOPMENT OF HUMAN RESOURCES
Year:2018 | Volume:5 | Issue:17 |Papers Count:7

The purpose of this study was to identify the dimensions and components of the performance gap in the social security organization. The main method of this study was survey method. Data collection by questionnaire and the analysis is done with the help of PLS software. The statistical population of the study includes all employees of different levels of social security organization that 395 of them were selected randomly as the sample. Data collected through exploratory factor analysis were analyzed and then finalized the reliance on the confirmatory factor analysis; The research findings indicate that the "performance gap" can be explained in three dimensions: leadership style، work environment، and manpower management; Based on the findings in the first dimension، the components of the "strategic approach"، "interactive and transparent work environment"، " "style of authority" and "feedback from stakeholders"، the components of second dimension are، "performance management"، "recruitment and appointment system"، "the effectiveness of job incentive tools"، "effective training"، "compensation system" and "specialized knowledge، and Finally، the components of the third dimension are، "moral and informational discipline"، "participatory culture" and "knowledge-based" were confirmed. In this way، while developing the final model of the performance gap in the Social Security Organization، and the provided model had a good fit in terms of the experts' perspective with a strong 0. 6 value.

This research aims to provide a model for the continued use of e-learning in work environments (Headquarters of the State Tax Administration). The present study is a descriptive survey type in terms of the applied purpose، in terms of the type of mixed data. For collecting data، a library method، a semi-structured interview، a researcher-made questionnaire، and factors affecting continuity were used. The formal validity of the questionnaire was obtained through pilot implementation، content validity through comprehensive literature review and judgment of experts، and construct validity using a confirmatory and exploratory factor analysis. The reliability of the questionnaire was estimated to be 0. 93 by calculating the Cronbach's alpha coefficient. Qualitative data analysis was done through coding. Quantitative data analysis was performed using SPSS and LISREL software. Descriptive statistics and inferential statistics including exploratory factor analysis to determine the factors and components of the model and the confirmatory factor analysis using the structural equation modeling technique for presenting the model through LISREL software have been used. The findings showed that the quality of the system experts، organizational support and expected performance with frequency 12، have the first priority، respectively، in system factors، organizational factors and individual factors. Also، the age of 7 is among the demographic (demographic) factors of the first priority. The share of "system factors"، "organizational factors"، "human factors" and "demographic factors" was 48%، 36%، 28% and 19% respectively for continued use of e-learning. Finally، a model for continuing use of e-learning in the headquarters of the State Tax Administration was presented based on its effective factors and its components.

Aim: The study is aimed to investigate the ways that implementing intelligent educational systems can inform mobile learning. Method: The research method was quasi-experimental. The statistical population is composed of male students of the third-grade secondary school of Smart in the city of Grammar of the academic year 97-96. According to Morgan schedule، in this study، 102 students of third grade high school from intelligent schools were selected using multistage cluster sampling and were randomly assigned into experimental and control groups. Several lessons from the English language book were selected as the content of the training، and before the training، they were done on both groups of pre-tests. The control group was trained on an intelligent learning system as usual. But the learning group was experimenting with intelligent learning systems through mobile devices (tablets and mobiles). After training، the post-test was performed on both groups. Analyzee: Data were analyzed using SPSSv. 18 software in two levels of descriptive and inferential statistics (independent t-test). Results: The results of the study showed that the English language test grades of the experimental group، which were trained using intelligent educational systems in the field of mobile learning، were more than the English language test grades that were taught using intelligent educational systems. So، we can say that the implementation of intelligent educational systems in the context of mobile learning has a positive effect on education.

Cloud computing and cloud services، as a technological solution to the development of educational services، can be very useful in accelerating and expanding services for this type of activities. This study aims to provide a coherent model for the design and delivery of services provided by Learning Service Providers (LSPs) based on the capabilities of cloud computing for human resources training and learning. To achieve this، a mixed approach and the theoretical research method were adopted. To identify the elements of the model for designing and delivering cloud-based learning services، we organized semi-structured interviews with specialists in organizational learning and business education. The participants in the interview process were selected using the theoretical sampling method. The interviews were organized using the open coding method. The test-retest reliability method was used in this study to measure the reliability of the coding process used in the specialized interviews. The consistency level (PAQ) was equal to 0. 83، indicating a high level of internal consistency. In the second phase، the structure and method of Interactive Management (IM) and the Interpretive Structural Modeling (ISM) software were used for integrating the data and determining the relationship between the elements of the model. In the third section، related to the quantitative part of the research، the Analytic Hierarchy Process (AHP) and Expert Choice software were used to weigh the model design and cloud computing-based learning service delivery elements. Then، a comprehensive model called BOM was presented for the delivery of cloud computing-based learning services. The main elements of the model in the order of weight and level of importance in the model include the tools and mechanisms of technological learning (0. 215)، establishment of a curriculum planning system (0. 208)، design of learning services (0. 151)، learning support services (0. 105)، learning system performance evaluation (0. 074)، incentive mechanisms and tools for the use of cloud space for learning (0. 068)، legal dimensions of the use of cloud space (0. 046)، learning services business management (0. 040)، curriculum assessment (0. 038)، and marketing، advertising and sales of learning services (0. 033).

The purpose of this study was to identify and explain the dimensions، components and indicators of the electronic learning management system in the Maskan Bank. The research method is applied in terms of purpose، and in terms of how information is collected، it is qualitative. In this research، after the purposeful sampling، the process of interviewing with key and informed experts until the identification and full description of the dimensions، components and indicators، and the achievement of theoretical saturation persisted. To determine the logical framework of the total collected data، the steps were taken to identify، note and classify the concepts. For this purpose، the collected data were aggregated and the texts were re-examined and categorized as major categories. Finally، the categories were reviewed، repetitive deletions، similar and smaller mergers، and the dimensions of the specified topic were ranked within the framework of the components and indicators. Based on the results، the extracted model has 4 dimensions، 5 components and 30 indicators for assessing the electronic learning management system. After finalizing the data analysis and extracting the conceptual model، in order to measure the validity of the model with 10 experts and experts of the bank in the form of a focal group about the dimensions، components and indicators of the model of consensus and agreement.

The purpose of this study is to examine the fundamental question with regard to extensive changes in technology، which aspects of the concepts and processes of knowledge management in the Printing and publishing industry are more applicable and need to be prioritized in order to establish an effective teaching system in this industry? The study was a qualitative type with phenomenon approach، in particular survival analysis. The participants of this study were selected through targeted snowball sampling to theoretical saturation boundary، from eight experts، well-known publishers and practitioners. The dependability، credibility and patriotism validity has been utilized to strengthen the reliability of the research. The data from interviews were analyzed using a seven-step Colaizzi method. The results of the coding of 37 components were precipitated and could be clustered in 13 inferential issues. Finally، 6 structures consisting of the following themes were driven، which were recognized in the Iranian printing and publishing industry as part of the concepts of the Knowledge management monastery: Standardization of curriculum packages، Diversification of training supply systems، Aesthetic expansion of the training، Marketing and branding، Comprehensive and effective logistics، Continuous monitoring based on return on capital. The analysis presented in this study shows that the application of the mentioned concepts will enhance the productivity of the printing and publication industry in the face of the wide variations in the internal and external dimensions of this industry.

In today's world، organizations always face different environmental and technical changes; in order to adapt to these changes، they need to learn and apply new knowledge and technology، but they must consciously acquire knowledge that is obsolete and obsolete for any reason. Identify and take proper measures to cut or end the degree of dependence on it. The main purpose of the research is the effect of learning dehumanization on the development of employees of the organization of work and social welfare of Alborz province. Learning outcomes include awareness، stopping the development of obsolete knowledge، leaving، isolating، integrating، and encouraging the use of new knowledge. In this study، the impact of these components on the development and development of employees has been addressed. The present research is applied in terms of purpose and based on nature and method of descriptive-correlation. The statistical population of the research includes supervisors، managers and employees in the Labor and Social Security Organization of the Alborz Province in 1230 people. Morgan table was used to decide the sample size. Based on the amount of statistical population، the sample size is estimated to be 293 people based on the Morgan table. The instrument of gathering in this research is a researcher made questionnaire. To analyze the collected data، the emulsion structural equation modeling software (Amos) was used. The results of the research showed that learning depletion and its dimensions have a positive and significant effect on employee development.