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The purpose of this quantitative study was to identify the effective factors in the developed model of human capital productivity in the Islamic Republic of Iran Navy through Structural Equation Modelling. The research data were collected based on a researcher-made questionnaire that was administered to a sample of 30 participants selected purposefully from the population of commanders of Naval Areas and Bases. The findings indicated that the organizational environment design and deployment as well as the human resource planning, recruitment and maintenance factors had positive significant effects on the core of human resource productivity. Moreover, managerial and educational mechanisms were found to have positive and significant effects on the practical and interactive strategies of human resource productivity. Factors positively and significantly impacting human resource productivity were found to be competition consequences and organizational performance improvement, the quality of organizational missions, performance satisfaction and skill enrichment. Finally, the human resource recruitment and maintenance and planning mechanisms were found to have positive and significant effect on staff productivity consequences.

The purpose of current enquiry was to assess the factors that impact the introduction of traditional Iranian markets as a tourism brand with a focus on Tabriz market. To this end, an interview was conducted with the research sample comprising the experts in the field, the customers of Tabriz covered market, the businessmen working there. The Cochran model was used to estimate the sample size. The data collected from the interview were coded and categorized via Excel software and further analyzed through SPSS software. The initial analyses were carried out in two phases starting with identification of the characteristics of the research sample with respect to 6 different factors relevant primarily to their socio economic status. Further, the indicators evaluating the independent variables were scrutinized. A Likert scale was employed to collect the data. It comprised 58 indicators subcategorized under four independent variables: the image of the target market, market identity, market tourist facilities, and market uniqueness. The data analysis procedures included estimation of the average impact of each of the indices on each variable and the average effects of independent variables on the branding of Tabriz covered market, testing the relationship between the indices and independent variables and the branding of Tabriz market via Spearman correlation test, estimating the effectiveness of independent variables through linear regression model, final ranking of independent variables via path analysis method and, finally, a significant level analysis of the relationship between traditional market and market branding. The findings indicated that all three groups of participants believed that indices and independent variables had high average effect on Tabriz market branding as the dependent variable.

In today's competitive world, various organizations have been constantly concerned with improving production processes as a way to enhance product quality. Experiment design is a statistical quality control method leading to increased product quality, and thereby, enhanced manufacturing productivity. The present study set out to identify and prioritize the defects in industrial paints produced by Partofooldam industrial paint manufacturing company through failure mode and effects analysis (FMEA) and to determine optimal value levels for the identified effective factors using Taguchi Orthogonal Array Method. To serve the purpose, six trihedral factors and one dihedral factor were defined and the L18 array was selected for designing the required experiments. The findings indicated that the best paint quality was obtained in the experimental condition with over 10 micron granulation, peak metal temperature (PMT) of 232°C, high quality pigment, resin content of 55%, catalyst content of 4.1%, using medium quality plate and maximum content of additives. The effectiveness of the proposed method was determined by comparing the risk priority number (RPN) in FMEA before and after implementing Taguchi Method which showed a 19 point drop in the mean RPNs for all the identified problems. The results verified the impact of Taguchi’s method on reducing product failure risk and enhancing product quality.

Globalization and constant inter-organizational interaction have proved conventional leadership styles as inefficient factors in organizational survival and growth. What organizations need now is innovative leadership that can allocate materials and human resources in line with organizational goals and expand capacities to optimize the use of available resources. The purpose of the present applied enquiry was hence to explore the relationship between dimensions of innovation economy and key factors of organizational Bidimensional leadership-managerial model. To this end, Board of Trustees and Founders atIslamic Azad University, comprising 66 members, was selected via census as the research population. Initially, relevant research data were collected through library survey and a researcher-made questionnaire was designed under the supervision of experts in the field to be completed by the research participants. The research data were then statistically analyzed through SPSS software. Therefore, the use of two aspects of leadership-management based on the method of innovation economics can create the value of learning and the motivation and commitment of employees as a whole, which can lead to a two-dimensional excellence of employees and the organization.

Nowadays, Research and Development (R&D) units are the core of research activities in the industry sector and designing processes leading to new products and services is acknowledged as the major source of competitive advantage. The ultimate goal in R&D units is to facilitate the production of new products through increasing knowledge, creating processes and enhancing R&D capabilities. Hence, the purpose of this study was to identify and prioritize the components of R&D productivity enhancementin the power plants and energy supply in line with optimal policy making. The collected research data were analyzed via confirmatory factor analysis and the components of R&D capabilities were prioritized via Structural Equations using SMART PLS3 software. The analytic network process was also used to prioritize the components of upgrading R&D capabilities. The content validity of the final research model comprising 8 factors and 50 indices was confirmed. After processing the model, 5 indices were removed and the final model with 45 indices was confirmed. The results showed that paying attention to all 8 components and their indicators is important and influential in the R&D capabilities of these industries. The findings indicated that of all components, the human resource capability, financing capabilities, and technological infrastructure supply were respectively of prime importance in upgrading R&D capabilities.

Nowadays, inter-organizational relationships and market expansion through mutual cooperation is gaining ground as an important factor that can increase organizational capabilities and boost organizational expansion. The role of small and medium-sized companies in meeting the market needs of large companies is thus a promising topic. The current study set out to design a model for empowering small and medium-sized enterprises based on the capabilities of large companies. To this end, the network of inter-organizational communications was initially identified and analyzed based on Social Network Analysis approach. The central network issues were initially identified and, a model was designed, informed by the strengths and weaknesses of small and medium-sized enterprises, for their empowerment by large companies based on Grounded theory. To serve the purpose of designing the final model, the research data were coded through open, pivotal and selective coding systems. The findings from current study can help the identification and analysis of current collaborative networks and provide a model to enhance these collaborations.

This applied qualitative meta-analysis study explored the relationship between intellectual capital and human resource productivity. The research population comprised 50 dissertations, thesis and articles out of which a sample of 13 was purposefully selected to be analyzed. Expert consensus was employed to verify the identification reliability of the selection, categorization of the research data and the reliability of the coding system used. The significance and effect size reliability was checked via expert agreement of two meta-analyzers on effect size calculation. The results of the met-analysis revealed that intellectual capital was correlated with human resource productivity as a moderator variable. It was also found that among the 26 effect size figures calculated, 15 were high (< 0.5), four were low (from 0.1 to 0.3) and 7 were medium (from 0.3 to 0.5). Also, the results indicated that structural and human dimensions had respectively the greatest effect size with regard to their relationship with human resource productivity.

Tourism productivity relies heavily on social and economic improvement. Children have largely been ignored as beneficiaries of tourism who can play a highly influential role. Existing research had failed to considered children as active agents who can impact their lives and environments. The purpose of the current study was thus to address the existing research gap and qualitatively investigate children's perceptions of the trips they had experienced and to explore whether their decision making and the consequences of their leisure behaviors might play any ameliorating role in economic recovery. The research sample comprised 96 children within the age range of 9 -12 years old who had been selected based on gender and socioeconomic status, as the moderator variables, to take part in semi-structured interviews to narrate their memories. The recorded memories were further thematically analyzed. Exploration of their best trips revealed that novelty/entertainment, nature, and social relationships were perceived to be the major merits which stimulated emotional loyalty and the desire to return to the place. Emotional loyalty was observed to be stronger among males and middle socioeconomic class. Moreover, the findings supported the important role children can play in decision making and impacting the family’s selection of future tourist destinations.

Human resource development is currently of paramount importance in state organizations owing to the intricacy of environmental conditions and the diversity of social needs. The purpose of this exploratory descriptive quantitative study was, thus, to present an entrepreneurship-oriented human resource model for state organizations based on the foundation data theory. The research population included 15 professors working in human resource areas and managers and experts in human resource planning and management at state organizations in Ardabil province, Iran. The research data were systematically gleaned through administering a semi-structured interview and further coded selectively, openly and axially. The validity of the qualitative data was verified through expert views offered by research participants and the reliability of the interview was checked through interrater reliability. The results were indicative of 12 major and 33 minor factors in the form of a paradigmatic model comprising entrepreneurship-oriented human resource activities as the central scale, causal conditions (organizational accountability and competitiveness), contextual factors (the managers’ developmental tendencies, organizational culture, human resource development incentives), intervening variables (organizational atmosphere, dominant conventional executive approach), strategies (individual and organizational empowerment), and consequences (individual and organizational development).

The purpose of the current applied descriptive enquiry was to examine the causal relationships among sustainable human resource management (HRM) antecedents using structural-interpretive modeling. The research population consisted of staff at the Ministry of Health and Medical Education as well as the experts in the field. Two questionnaires were employed to glean the research data. The first researcher-made questionnaire was initially distributed among the research population to identify and validate the theoretical framework after its validity and reliability were statistically verified. The second questionnaire was employed for the sake of structural-interpretive modeling. The collected research data were analyzed through confirmatory factor analysis and structural-interpretive modeling the results of which revealed ten factors as antecedents of sustainable HRM in the target population. Likewise, the results of structural-interpretive modeling bore on organizational support and supervision as the basis of sustainable HRM practices that may directly and indirectly affect other antecedents.

The aim of the current applied, descriptive and correlational study was to investigate neighborhood-oriented cultural management and the role it plays in urban managers’ cultural performance efficiency in the metropolitan city of Tehran. The research population comprised 14000000 citizens living in Tehran out of whom a sample of 384 was randomly selected, based on Morgan Table, to participate in the study. The research data were collected using a researcher-made five-point level Likert scale questionnaire comprising 4 factors and 28 items tapping the participants’ responses were. Therefore, 384 questionnaires were distributed among members of the target population. Having distributed and collected the questionnaires, we analyzed descriptively and inferentially. Descriptively, features like absolute and relative frequency, mean, standard deviation and variance of background and main variables were estimated. Inferentially, correlational tests, multiple regression and F-Test used indicated that neighborhood-oriented Cultural management had a significant effect on urban managers’ cultural performance efficiency in Tehran

Knowledge as the internal power of any organization and knowledge management enablers as power links have a special place among the employees, whilst the decision-making styles of managers as the highest position of any organization to interpret and respond to different situations, have a great impact on improving organizational performance. Therefore, this article examines the effect of knowledge management enablers on organizational performance by considering the mediating role of knowledge creation process and the moderating role of intuitive and rational decision-making styles. The research method is descriptive survey and all employees of the Tax Affairs Organization including 315 people, form the statistical population. The data collection tool is a standard questionnaire whose reliability has been assessed through Cronbach's alpha coefficient and its face and content validity (CVI and CVR indices). Analysis of data related to path coefficients from the structural equation method in Smart PLS software showes that knowledge management enablers affect organizational performance by considering the mediating role of knowledge creation process and the variable of intuitive and rational decision-making styles modifies the relationship between knowledge creation process and organizational performance significantly.

A significant amount of costs in the process of supply chain assessment and management is often overlooked when applying traditional ways of evaluation and supplier choice, and it is essential to provide a comprehensive approach that can take into account all costs associated with a service or product. To this end, the concept of "Total Cost of Ownership" is considered as an appropriate criterion for performance assessment and an optimal method for productivity enhancement. It is a philosophy and a purchase device that seeks to delineate the actual purchase cost of a product or a particular service from a specific, and thereby, enhance productivity by reducing viable costs of an investment or purchase. Therefore, the current study sought to explore multiple dimensions of total cost of ownership in selection and evaluation of organizational suppliers. It further aimed to present a mathematical model that can offer an indicator to evaluate the supplier's performance based on each aspect of total cost of ownership making it possible for organizational decision makers to compare each of their suppliers from different perspectives and choose the most efficient and suitable supplier while keeping the cost to an absolute minimum. The proposed index was finally described based on a sample from an automobile manufacturing company.

Service employee productivity has nowadays intrigued researchers and managers. The current applied correlational-descriptive enquiry aimed to offer practical resolutions for improving employee productivity in East Azerbaijan hotel industry based on internal marketing and knowledge sharing. The research data were collected based on a questionnaire the validity of which had been investigated via expert view and confirmatory factor analysis and the reliability of which had been explored through Cronbach alpha coefficient. The research population comprised 565 managers and employees at various hotels in East Azerbaijan province from whom a cluster sample of 232 was randomly selected to complete the questionnaire. The gleaned data were analyzed via Structural Equation Modeling. The results revealed that internal marketing directly impacted employee productivity with path coefficient of 0.6 and indirectly through mediating role of knowledge sharing with path coefficient of 0.21; internal marketing was also found to impact knowledge sharing with path coefficient of 0.53. Knowledge sharing was also found to have a positive effect on employee’s productivity with path coefficient of 0.41. The results underscore the partial mediating role of knowledge sharing and recommend that senior hotel managers employ internal marketing in order to improve knowledge sharing and enhance employee productivity.

The pervasive and comprehensive nature of social work and empowerment process in supportive institutions such as Imam Khomeini Relief Committee commences with the identification, acceptance and provision of supportive social work for the deprived destitute and, through purposeful timely training and empowering, helps the clients develop the ability to earn a living. Hence it is absolutely vital to explore the extent of process productivity by employing innovative techniques that can rectify and reform current processes and do more social justice to the impoverished helping the empowered ones withdraw the support cycle and stand on their own feet. The researchers in the present study were, thus, concerned with the question whether the process model of social work delivery and empowerment in Imam Khomeini Relief Committee was sufficiently productive to achieve the organizational goals or needed to be redesigned. To this end, a questionnaire was administered to collect the research data concerning the extent to which the goals of the model were achieved after its implementation with regard to identification, guidance, acceptance, needs analysis, prioritization, and provision of general and specific services for the needy clients in line with the overall empowerment approach. The data were further incrementally analyzed via the Crisp-Data mining at different stages of data mining. Finally, the compilation of data mining results could predict the accuracy of the model through Rough stood 0.86, Decision Tree 0.80, Bayes theory 0.70 and Artificial Neural Networks 0.85. The proposed model, hence, was proved to enjoy the desired productivity for achieving organizational goals. The findings might be employed by prospective researchers to redesign and optimize productivity models in other Non-Government organizations in line with organizational goals.

The purpose of the present study was to present a systematic model of promoting human resource productivity through fuzzy dimensional approach applicable at various branches of Islamic Azad University in Azerbaijan in the time span of 2018-2019. The research population consisted of all faculty members at various branches of Islamic Azad University in East Azerbaijan province. The data collection instruments employed included two researcher-made questionnaires one initially designed as a five-point Likert scale to identify the factors affecting the promotion of human resource productivity in the university and the other desveloped subsequently based on paired comparisons required for fuzzy dimensional system approach. The questionnaires were validated in terms of their content and internal consistency and test-retest reliability estimates. Initially, the data obtained from the first questionnaire were statistically analysed through student t-test and the findings indicated five main factors that were perceived by the participating faculty members as effective in promoting the productivity of university human resources. Further, the second questionnaire was developed based on paired comparisons of the five identified factors and was distributed to the research sample. The findings emerging from DIMATEL systematic approach revealed creativity and innovation grounding, provision of targeted training and utilization of appropriate knowledge management strategies and practices as highly influential and influenceabl factors in the system under study. Targeted training was also identified as having a higher impact on other system factors. In addition, adherence to competency trends in personnel promotion as well as embracing creativity and innovation in the organization were identified as two factors highly influenced by others.

Nowadays, organizational survival and success in the intricate and competitive business world entails effective strategic management that allows effective designing and planning of objectives and strategic implementation of the plans to achieve goals. Despite the vitality of strategic management, however, recent research findings underscore the absence of systematic procedures for organizational strategic implementation. Organizational strategy map is a common and functional strategic management element that helps to clarify strategies and reinforce effective implementation of strategic objectives by illustrating key factors defining success and the interaction among them. Hence, this study aimed to develop a strategy map and analyze the performance of Iran-Khodro Company in Mazandaran to help it successfully execute strategies and allocate resources to accomplish its mission. To this end, having reviewed the existing literature and specified the company's strategic goals, we weighed them and explored their causal relationship using FDANP. Further, a number of guidelines were offered based on the IPA analysis to help the management allocate resources and accomplish their goals. The findings can guide the company's managerial decisions in prioritizing ongoing reform projects and optimal allocation of resources.

The present positivist applied study sought to identify the factors and components affecting the performance management system at governmental organizations at two stages. Initially, the factors and components affecting organizational performance management were identified based on views of 21 administrative system and university experts that were analyzed through the Delphi technique in three rounds. The results of Delphi analysis revealed 29 factors which were further classified via exploratory factor analysis into five major groups of factors within a questionnaire that could explains 79.5% of the total variance. The construct and content validity of the researcher-made questionnaire was then verified via factor analysis and its reliability was estimated through Cronbach's alpha, indicating a coefficient of 0.846. In the second phase, the validated questionnaire was employed to collect the research data from a sample of 108 governmental organizations selected randomly based on Morgan and Krejci Table. The gleaned research data were subsequently analyzed through SPSS and Amos software and employing confirmatory factor analysis, fitness indexes, assumptions, analysis of variance and Bonferron's post hoc test. The results indicated that five general factors impacting effective performance management of governmental organizations included human resources, customer service, leadership, organizational transformation, and culture and values, respectively.

The present quantitative correlational applied study was undertaken to explore factors affecting the performance enhancement of managers at commerce and civil service companies in Gillan province. The research population comprised 2000 managers and employees at commerce and civil service companies in Gillan, Iran from whom a stratified sample of 384 was selected based on Morgan Table. A researcher-made questionnaire developed based on the research conceptual model, the research questions and hypotheses was administered to the research sample. The gleaned research data were analyzed descriptively and inferentially through linear and multiple regressions. The results demonstrated that Organizational Trust, Organizational Citizenship Behavior and Organizational Equity had significant impacts on the participating managers’ performance enhancement. Moreover, Organizational Citizenship Behavior and Organizational Trust, with respective coefficients of (.591) and (.368), were found to have the greatest and the smallest impacts on the managers’ performance enhancement in Gillan.

Targeting at sustainable development provides the government with formidable challenges in performance assessment of governmental employees. As a particular organization whose decisions can greatly impact the environment and citizens’ personal lives, the government should be held accountable for the quality of executive behavior incongruence with sustainable development. Hence, the current exploratory, developmental study aimed to operationalize a performance assessment model based on sustainable development to assess employees in public organizations. Initially, the intended model was designed based on an in-depth literature review and interview with a snow ball sample of 23 expert executive managers in the ministry of health headquarters. Next, a questionnaire was designed and administered to a straight random sample of 202 employees and managers of the Ministry of Health and Medical Education selected based on Kukran Table. The collected data were then analyzed via structural equation modelling, factor analysis and Lisrel software. The results identified four factors of sustainable development-based performance assessment model including economic, social-cultural, political and environmental. The results also revealed that the environmental and social-cultural factors had priority. Accordingly, suggestions and applications of the model are discussed to improve the performance evaluation of staff sustainable development.

This qualitative, applied and descriptive study was undertaken at the Research Institute of Petroleum Industry to identify critical factors affecting human resource development and to offer a model by applying Fuzzy Dematel technique. Initially, through extensive review of existing literature on human resource development and interview with a purposeful sample of 13 experts in the field of petroleum industry research, 24 influenceing factors were identified on human resource development. Next, a researcher-made questionnaire was developed, as the data collection instrument, comprising seven of the most recurring factors. The content validity of the questionnaire was confirmed by the experts at the organization and university professors. An internal consistency correlation coefficient of 0.87 was found suggesting that the reliability of the device was acceptably high. The results of the statistical analyses indicated that, among the identified human resource development factors, Training and Organizational Structure were the main barriers to the development of human resources while Leadership Style, Organizational Culture, Strategy and Knowledge Management were effective factors to overcome the obstacles in the way of human resource development. Technology was also found as an independent variable influencing the human resources development in Research Institute of Petroleum Industry.

The current empirical enquiry aimed to investigate the relationship among job rotation, musculoskeletal disorders and human resource productivity in Iran Carton Manufacturing Company and to detect any significant and interaction effect among the constructs. To this end, a sample of 116 laborers at Iran Carton Company was randomly selected to take part in the study. The research data collected from the sample were analyzed via ANOVA, Independent Samples T-test and Paired Samples T-test. The results revealed significant differences in the human resource productivity of the participants with and without job rotation practice. Similarly, significant differences were observed in risk levels of musculoskeletal disorders before and after job rotation. However, the difference in human productivity of laborers with varying risk levels of musculoskeletal disorders did not reach significance level. Moreover, the results indicated that risk level of musculoskeletal disorders did not mediate the relationship between job rotation practice and human resource productivity.

The primary purpose of this confirmatory survey was to examine the effect of knowledge absorptive capacity on strategic innovation in companies located in Tehran University Science and Technology Park with a focus on the moderating role of strategic orientation. To serve the purpose, an extensive extensive literature was undertaken to design a 33-item questionnaire. Its face and content validity was verified by experts in the field and its construct validity was verified through confirmatory factor analysis. The reliability of the questionnaire was also examined through Cronbach alpha, composite reliability, and variance average. The research population comprised all company employees from whom samples of 198 employees were randomly selected from 86 companies based on Kukran Table. Then, the data obtained from the research sample were further analyzed using Smart PLS software, Pearson Correlation Matrix, Structural Equation Modelling, and fitness test. The results indicated a significant relationship between knowledge absorptive capacity and strategic orientation which was not significant with regard to the minor research hypotheses. Moreover, the relationship was found to be reinforced in competitor-oriented and customer-oriented companies and to be weakened in cost-orientations companies. That is, to boost strategic innovation, and thereby, constantly adapting working models to fluctuations, the companies should not only enhance their absorptive knowledge capacity but also adopt competitor-oriented and customer-oriented strategies.

Knowledge-based economies and the movement towards capital gaining through the application of science and knowledge, are undeniable necessities for the preservation and survival of universities. Furthermore, they help meet the needs of the people at universities and the society. Universities of medical sciences across the country contain creative human resource (including faculty members, students, graduates and employees) with technological ideas. However, they show little tendency towards commercialization and creation of knowledge-based companies. This research is intended to provide a model for creating knowledge-based companies through SWOT approach in medical universities in Mazandaran province. This applied research follows field method to regard the level of control of field variables. In terms of data collection it is a descriptive research relying on context search. The research can also be regarded as an exploratory research by some considerations. The statistical population of the qualitative stage includes 15 scientific experts, chairmen and experts of the university's development centers, research and technology units of the university, officials and experts of the science and technology parks, and experts of knowledge-based companies. The statistical population of the quantitative phase include the faculty members of medical sciences universities in Mazandaran (University of Babul and Mazandaran University) including 750 professors from whom a sample of 256 people were selected as the sample by stratified random sampling method based on Morgan table. A researcher-made questionnaire, containing 45 items, was developed as a result of interviews for data collection. The validity and reliability of this questionnaire were confirmed. Qualitative data analysis of the research was done through open coding and central coding. For the analysis of quantitative data, the structural equation model test using the partial least squares method (PLS) was used for performing factor analysis. Using the structural equation model test, the researchers designed the final research model as a model for creating knowledge-based companies through SWOT approach for medical universities. The model illustrates the share of each factors. Threats occupy the highest factor load and first rank with a factor load of 0.813. Opportunities fit the second rank with a factor load of 0.787. Strengths with a factor load of 0.0569 take the third rank and the factor of weaknesses take the fourth rank with a factor load of 0.266..

Given the growing competition among organizations and the increasing importance of knowledge in project-oriented organizations, such organizations are directed to apply their most essential resources, that is, the knowledge derived from conducting projects and the intellectual capital. Organizational knowledge management is indeed a novel approach to the resources and elements of organizational power and believing in the significance and value of human beings and their creativity and innovation. On the basis of classification of goals, this is an applied research, being conducted to apply the results to improve and make applicable the knowledge management assessment of the Civil Engineering Deputy of the Khatam Al Anbia Construction Site. This is descriptive research which is conducted through constant library method and field data collection. The statistical population of this study consists of all 125 experts and technological managers of knowledge management in the project-oriented organization of Civil Engineering Deputy of Khatam Al-Anbia Construction Site. Descriptive statistics is employed to carry out demographic assessment of the participants and drawing the graphs. , Using the statistical assumption test of the average of a society, the effectiveness of each of the indicators in evaluating the knowledge management under study was assessed in order to evaluate the effect of variables. Using the Balanced Scorecard (BSC) method, the knowledge management status of the organization was assessed by multi-criteria decision-making methods such as TOPSIS were employed to rank and evaluate the importance of indicators. Applying the results of this research helped the strategy of knowledge management, and promoted evaluation of the performance of experts and managers at the organization, and ultimately improved the evaluation of the whole organization. Application of the balanced scorecard method helps measure all the dimensions of the organization, assess the success rate in achieving the mission and vision of the organization. The presentation of these indicators and methods properly increase the attitude of managers in evaluating knowledge management of project-based organizations and will encourage them to use it much more.

The purpose of this study is to design a model for human resource development in the tourism industry of Isfahan province based on the knowledge management process. The statistical population consists of experts in the tourism industry of Isfahan province selected by the purposeful criterion-based method, who were surveyed through a questionnaire. The data were analyzed through interpretive structural modeling and importance-performance matrix. The designed model includes 9 indicators which, according to the knowledge management process, are classified in 4 dimensions including knowledge creation, knowledge retention, knowledge transfer and distribution, and application of knowledge, and were placed in 5 levels and their relationships were identified. The results showed that at the lowest level, the indicators of "designing the model of occupational competencies of tourism industry" and "designing human resource information system" impose the greatest impact on other indicators. In fact, they are the most important indicators of human resource development of tourism industry in Isfahan province. The indicator of “defining and presentation of excellence awards for human resource management of tourism industry" occupied the highest level with the most dependence. Furthermore, the results of the importance-performance matrix of human resource development indicators showed that all 9 identified indicators were in the area of focus or weakness, which indicates that more attention should be paid.

This research is aimed at assessing of knowledge management status and identifying the barriers in the way of sharing and documentation of knowledge in the Police Command of Eastern Azerbaijan rovince. This mixed research follows concurrent nested method. Phenomenological approach is selected for the qualitative phase of the study and descriptive-survey method is employed in the quantitative phase. The statistical sample of the qualitative phase of the research included 10 commanders and employees of police of Eastern Azerbaijan province selected by snowball sampling method. Data were analyzed using inductive coding of phrases and words from participant interviews. The research population included 320 police employees and commanders in the quantitative phase in the same population having been selected by simple random sampling. The instruments of data collection included a semi structured questionnaire in the qualitative phase, and in the quantitative phase a standardized questionnaire of the processes of knowledge management and the infrastructure affecting knowledge management was employed. The face validity and content validity of the questionnaires were confirmed. The reliability coefficient of Cronbach's Alpha for the knowledge management process was 0.93, and for the effective factors was 0.90. The trustworthy of the results was affirmed by reviewing the data and recording the details of the research and prolonging the process. In the qualitative phase, inductive coding method was used for data analysis and in quantitative phase, T-sample testing through SPSS 22 software was used to answer the research questions. The results of the research indicated that the present status of knowledge management was 2.59 in terms of process, 2.73 for effective factors in the Police Command of the province. The t-value distance to the desired situation was 3.5. The main barriers to knowledge management in the Police command included trust, communication, organizational management, structure, commitment of human resource, culture, and technology. The Police Command of the province can improve the status of knowledge management in the organization by strengthening think tanks, documenting experiences, removing structural barriers, and increasing interpersonal and organizational trust.

With the outbreak of corona-virus (COVID-19) in the world along with other challenges, governments and nations are provided with new serious opportunities with important considerations in an equal situation for all of them. As a multifaceted phenomenon, corona-virus prevalence is much more significant than other simple medical conditions. It involves several dimensions including dynamism, complicated, extensiveness, variety, and depth. It can accelerate or slow down grand global trends including the impressive trend of smart virtualization by the multinational nongovernmental specialist companies for realization of the global village. Hence, at present, numerous scientific researches regarding various aspects of crisis management, including health and biology, economics, technology, culture and sociology, ethics, spirituality, politics, security, inter nationality and law, as well as the future of corona-virus and the post-corona world are being held on the phenomenon of corona-virus prevalence by universities and scientific centers in the world. These scientific researches and experiments by individuals and institutions, all together, are creating new knowledge in various scientific fields. Therefore, it seems necessary to concentrate on knowledge management in the crisis of corona-virus prevalence. Knowledge offers a firm foundation for intelligent, correct, and timely behavior at individual, group, organizational, national, and global levels. Conscious and systematized reflection on the lessons learned from the corona-virus outbreak, as well as the proper methods discovered, makes it possible for people to take the best advantage from the knowledge they have gained with difficulty. Furthermore, it seems necessary to design and apply the architecture of knowledge gained by the corona-virus prevalence to enable step-by-step processing and knowledge transformation in different fields through an interdisciplinary approach (just as knowledge products are processed), and to ensure that the acquired knowledge is provided to the end-users and are used appropriately. Based on a review and meta-analysis of theoretical literature relating to the main approaches to knowledge management cycles, knowledge management cycle in the corona-virus outbreak crisis can be presented in the following three main stages: 1) Acquisition or creation of the knowledge derived from corona; 2) Targeted distribution or general sharing of knowledge derived from corona; 3) Understanding and applying the knowledge derived from corona.

This research is aimed at conceptualizing knowledge management offices in the academic development centers. Containing a descriptive nature, this research is an applied one in terms of its goals. Snowball sampling method is used to select the sample for this research. Data collection method involves in-depth interviews with scientific and academic community experts as well as the specialists and managers of the Academic Development Center of Imam Hussain Comprehensive University until reaching at theoretical saturation. A total of 20 interviews were conducted. After collecting the data, the codes for written interviews were analyzed. The validity of the interview was tested by the experts and its reliability was confirmed by the method of infra-subject agreement between the two coders. The coding method was used to analyze the research data. The results of the research, based on the selection of open, axial and selective coding, resulting in the final framework, demonstrated that the concept of knowledge management office contains 200 codes, 5 concepts and five categories. The concept of knowledge management office is formed by five categories including the goals (strategic and operational), tasks (strategies, processes, technologies, mechanisms, infrastructure and projects), roles (decision making, interpersonal and informational), competencies (technical and social), and structural arrangements (structural principles and system principles).

The main purpose of this study is to design a thought model based on the Supreme Leader's views. To achieve this goal, data were collected in two qualitative and quantitative phases using mixed exploitative method. Initially, having reviewed the literature, the researchers identified the key components of thinking as 85 key concepts, 15 sub-criteria, and 5 criteria through interviews by 11 experts selected by theoretical sampling method. In the qualitative phase, using Delphi method, 20 panelists reached a consensus on thought components after four rounds, and the research model was designed. The validity of qualitative part was confirmed by Kendall's coefficient (k = 0.89). A quantitative questionnaire was designed based on the findings of the qualitative phase. The face validity, content validity (Lawshe method), as well as construct validity (exploratory and confirmatory factor analysis) were estimated to be as much as 0.93 by Cronbach's alpha by the participation of 108 researchers at Imam Hussein Comprehensive University, 84 of whom were selected by random sampling method. The data analysis was performed in the quantitative phase through SPSS as well as LISREL software. The findings provided a thought model including the strategy of the bases of thinking, the view of Islam, the discourse of the leadership, and the outcome of thinking, of which highest score of Friedman's method was given to thinking (44.72), and the lowest score was given to strategies (40.65). Hence, it can be concluded that if organizations consider thinking paradigm, we may observe the emergence of learning and knowledge creating organizations.

The present study has been performed to assess the urban tourism sustainable drivers in Ahvaz city using the descriptive-analytical methodology. Regarding the main object of the study, two secondary objectives of recognizing the priority of using tourism sustainability drivers and recognizing the impact of drivers on the sustainability of urban tourism in Ahvaz have been followed in the research process. For data collection by surveying methods, the opinions of 30 experts related to the field of research have been gathered using a questionnaire. To analyze the priority of drivers, Multilayer Perceptron Neural Network (MPNN) approach, and to analyze the effects of drivers on the sustainability process of urban tourism in Ahvaz, linear regression analysis (R-Linear), logarithmic (R-Logarithmic) and logistics (R-Logistic) has been used. The results show that according to the results of regression models, except for economic and social sustainability drivers, other drivers do not affect the sustainability process of Ahvaz urban tourism. On the other hand, the results of the neural network approach indicate that political sustainability driver, based on the opinion of experts with a significance of 0.235, has a higher priority to improve conditions and create conditions for sustainability in urban tourism in Ahvaz.

Traditional sports festivals as the most prominent symbol of cultural values have become the newest tourism opportunity in the last decade. Therefore, this study aims to design a qualitative tourism model of traditional festivals based on Grounded Theory strategy. The research structure is of the exploratory type, which has a qualitative approach. The qualitative research population consisted of 35 experts and specialists active in sports tourism organizations and informed residents of the host communities, who were selected by targeted sampling and based on judgmental sampling. To collect data, semi-structured interviews, and the formation of a focus group were used. After the initial coding of concepts and classification of categories, eight components were identified in the form of human potentials and natural-sports potentials among which, according to the frequency of the registered codes and the statements of the focus group, the most important features of the present study were the holding of traditional festivals and the opportunity to display and exchange cultural values of the host communities. Therefore, using local festivals as a tool for tourism development is a new and efficient approach. Thus, according to the current research model, by emphasizing the cultural values of traditional sports festivals, these places can be considered as the top hub of traditional sports festivals.

Along with the influence of the Internet and the dramatic advances in the use of information technology in businesses, a new concept has been introduced in the tourism literature called smart tourism destinations. Although studies have been conducted in this area in recent years, the research process is not clear due to the short time of introduction and development of this technology. In addition, the synthesis of knowledge has not been done in order to draw conclusions about the evolutionary nature of this issue and to develop its theories. This study used the paradigm funnel method to fill this gap and investigate the research. For this purpose, 105 articles were reviewed from 2000 to 2017, and after selecting articles, 34 articles were identified and classified. The findings indicate the focus of the articles is on the level of specific theories and the lack of articles in the field of ontology and basic hypotheses. This study will help researchers to better understand the conducted research process, to get acquainted with the concepts and components, and to identify the existing research gap.

The competitiveness of geotourism destinations depends on a number of factors, including resources, demand conditions, management, and destination marketing. A comprehensive model for geotourism destination competition in the world has not yet been developed and the native model of competitiveness of tourism destination in Iran has not been considered by researchers so far. The purpose of this study is to determine the competitiveness factors of geotourism destinations in Iran. The research method is qualitative and sequential exploratory. Using multiple resource alignment methods consisting of three sides: a) collecting theoretical foundations, infrastructural principles related to the research variable, b) research conducted in the field of competitiveness, and c) surveying the opinions of key experts, geotourism destination competitiveness factors were developed. The main indicators are formulated in three dimensions of competitive assets, competitiveness process, and competitive environment. The competitive assets dimension include the components of attractions, location, available facilities, supportive factors; the process of competitiveness dimension includes components of policymaking and planning, education and research, destination development and infrastructure improvement, destination marketing and management, protection and control, destination operations and branding, and the competitive environment dimension includes the components of external environmental conditions and factors affecting consumer demand. The results indicate that the competitiveness indicators of geotourism destination in Iran can cause a change in attracting tourists and maintaining and sustaining the sustainable development of Iran's tourism at the national and international levels in the current highly competitive conditions.

Companies working in a competitive environment are increasingly facing challenges in attracting and retaining customers. In this regard, companies try to create superior value for customers compared to competitors and in return, expect customers to participate in creating value for the company. But customers are different and use different relational models to interact with companies, which affect the amount and type of engagement they make in creating value for companies. Therefore, in the present article, we look at the extent to which customer relational models influence their engagement in creating value for hotels, and each customer involved in the creation of what kind of value. To this end, loyal customers of five-star hotels in the northwest of the country were selected as the statistical population and 533 customers participated in the research by completing the questionnaire. A convenience sampling method was used to select the statistical sample. In terms of the aim of the research, this is applied research and in terms of methodology, this is casual research. The research hypotheses were tested using structural equation modeling technique and AMOS software. Findings show that customers who use a non-social relational model in their interaction with the hotel participate in creating three types of value (lifetime value, influence value, and knowledge value) for the hotel and customers with relational models of communal sharing and equality matching create value for the hotel, through knowledge and impact on others respectively in addition to providing a lifetime value. Ultimately, customers with market pricing models create value for the hotel only by offering their lifetime value.

The purpose of this study is an investigation of the impact of each dimension of perceived quality of urban transportation services in Isfahan on the satisfaction of domestic tourists. In terms of purpose this is applied research and in terms of method, this is descriptive-correlative research. The present study is a combination of library and field research. The statistical population of the study consisted of domestic tourists of Isfahan on Nowruz 2017. The inclusion criterion was the usage of urban transportation. In order to collect data, the convenience sampling method was used. The results showed that to achieve tourist satisfaction it is necessary to increase the quality of services. It was also found that tourists are not satisfied with the urban transportation of Isfahan in any dimension. Therefore, according to the impact of different dimensions of service quality on tourist satisfaction, it is necessary to focus on improving responsiveness, empathy, reliability, tangible items, economic efficiency, and guarantee, respectively.

Spatial analysis of tourists’ demands is crucially important for tourism destinations management and marketing. This research aims to compare the spatial centralities of the tourism attractions of Sa'd Abad historical complex for national and foreign visitors. In doing so, data from the ticket sales system were used to construct the proximity matrix using the concept of interlocking-visit and via Python programming. Then the spatial centrality of the attractions was calculated by NetworkX software. The result shows that, Museums of the Mellat Palace, the Green Palace, the Museum of the Royal Cars have the highest degree centralities and Museums of Art, Miramad Museum, Behzad Museum have the lowest degree centrality for both groups. The major difference between the two groups' demands was the royal attractions. The Museums of Royal Cars, Royal Dishes, Court Weapons, and the Royal Kitchen have become more central to domestic tourists than foreign tourists.

Religious travels play a significant role in tourism, and the optimal connection between spirituality and commercialization of the brand of religious tourism destinations should be guided by a comprehensive analysis of the stakeholders’ interests. The purpose of the study is to investigate the relationship between spirituality and commercialization of religious tourism brand in Mashhad, using the qualitative approach and grounded theory. Data collection was based on theoretical foundations, the study of upstream documents, and conducted deep, open, semi-structured interviews with experts that were selected purposefully. To analyze the data, a continuous comparison method has been used during three stages of open, axial, and selective coding. The results showed that 153 concepts in the interaction of spirituality and the brand commercialization exist in 5 contextual categories, 5 casual categories, 3 intervention categories, 3 strategic categories, 10 consequence categories and 3 categories of (inconsistency of national macro-measures with the interests of urban stakeholders, intra-organizational and inter-organizational conflict and partial optimization) as barriers to the implementation of strategies.

lthough much research has been done on destination branding, the study of destination personality remains limited. The purpose of this study is to investigate the destination personality of Iran and to examine the relationship between destination personality and behavioral intentions of international tourists using the Aaker model (1997). The statistical population of this study is Iran’s international inbound tourists. The research questionnaire was distributed randomly among sample members. From a total of 420 questionnaires, 407 questionnaires were analyzed. The findings of the exploratory factor analysis and multivariate regression analysis indicate that tourists ascribe personality characteristics to destinations and that the perceived destination personality of Iran in the eyes of international tourists has three dimensions: hospitality and culture, sincerity, and vibrant.

Religious tourism was one of the oldest and most popular types of tourism in the world and the holy city of Mashhad is the most important religious tourism hub in Iran due to the holy shrine of Imam Reza. Therefore, with the aim of deep understanding of the religious tourism brand of Mashhad, through the cognitive approach and interview-centric approach of the ZMET technique, the cognitive structures of tourists in Mashhad were examined and analyzed to extract the mental map of tourists towards the city of Mashhad. In this regard, 11 students of Allameh Tabatabai University who traveled to Mashhad and had a high level of mental conflict with this city were interviewed. 22 constructs were integrated into the consensus map. The constructs of "Imam Reza Shrine", "Tourist City", "Religious City", "Shopping Centers", "Recreation Centers" and "Hotel" were the main and basic constructs. The most frequent basic construct that had the most contact with the Mashhad brand was the Imam Reza shrine, which was associated with a "feeling of peace" in people. Among the negative construct about the Mashhad brand were "lack of sea" and "extortion and selling counterfeit goods", which were related to the basic constructs of the tourist city and shopping centers, respectively.

Today, It seams knowledge sharing has been trasformed to the most effective means of achieving a unique competitive advantage for a knowledge-based organization; But while it can be the source of the organization's advantage, it can be a source of risk too.This study focuses on the feasibility, evaluation and initial ranking of the risks for the competitive advantage of a knowledge-based organization under the influence of the knowledge sharing process. The research hypotheses were developed from the literature and tested on the data that collected through a survey on an IT firm. In this research, a descriptive-applied research model has been utilized and its survey method and its statistical society are employees of a knowledge-based organization. To collect data has been used a designed questionnaire and expert opinion, to evaluate the reliability and validity of the extracted data, Cronbach's alpha, Kaiser-Mayer-Olkin, Bartlett tests and the research hypotheses, t-test, Chi-Square and Friedman test has been exploited. Results indicated that managers and Employees should take the risk of knowledge sharing process seriously in order to protect their organization's competitive advantage, while not paying attention, it can lead to lower IT performance and lower productivity.

The organization of Corporate headquarters (CHQ), as the commanding brain in multi- business companies, is in a state of flux and adapts to external environment changes dynamically. The optimal management of its organizational dynamicity can profoundly impact productivity. Yet, close inspection of the existing literature indicates lack of a framework for managing organizational changes in CHQs. Hence, the purpose of this qualitative single case study is to bridge the gap and introduce a framework for managing the adaptation process in the CHQs. Initially, a specific and applied definition was offered for CHQ based on meticulous review of the related literature. Further, the construct was operationalized in the form of a questionnaire which was administered in one of petrochemical multi-business companies to serve the purpose of the study. The research data gleaned through open interview and studying related documents were submitted to thematic analysis. The findings underscored the CHQ’s environmental requirements, fundamental changes, orienting elements, parenting and managerial style and the maturity curve as the most significant factors influencing the policymaking of the adaptation process. Challenges related to each of the factors and the ways of handling them are discussed and a framework is offered for managing the adaptation process in CHQs.

Research findings have revealed that entrepreneurial trends in Iranian state organizations have not succeeded and to rectify the situation entails reforming enhancing human resource management policies. Thus, based on Mirsepasi’s Model which is one of the underlying principles of human resource management system, the present study intended to offer an appropriate model for absorbing, supplying and adjusting human resources that can promote entrepreneurship in Iranian state organizations. To this end, the service compensation system, job design and employment management were selected from Mirsepasi’s Model and considered via confirmatory factor analysis. Based on expert judgement and Scott’s reliability coefficient, innovation, proactivity and flexibility were also selected as dimensions of corporate entrepreneurship in Iranian public sectors. The research population consisted of 18 active ministries of the Islamic Republic of Iran that were stratified into five categories of educational, economic, political-authoritative, cultural, welfare and general service ministries. Unit of analysis in this study was managers and experts in human resource management departments who were selected using convenience sampling from a single randomly selected ministry from each category. Further, the entrepreneurial hindrances were considered in human resource absorption, supply and adjustment employing LISREL software. The Model presented here is claimed to support innovation, proactivity and flexibility as identified aspects of entrepreneurship in state organizations via service compensation system employment recruitment and job design.

Entrepreneurship and organizational orientation towards it is now considered an important method of enjoying a competitive climate to institutionalize innovation in the institutional organization and thereby bring about economic prosperity of the country. The purpose of this applied descriptive survey was to explore the relationship between organizational entrepreneurship, entrepreneurial orientation and organizational performance in industrial companies in Zanjan, Iran and to examine the effect of strategic entrepreneurship. The research population comprised all staff members working in the target industrial companies, from among whom a clustered sample of 304 was randomly selected. The research data were collected via the organizational and strategic entrepreneurship Likert scale questionnaire. The research data were further analyzed through Structural Equations Modelling and PLS software and the results showed that the organizational entrepreneurship and entrepreneurship orientation had a significant effect on strategic entrepreneurship which had a positive and significant impact on organizational performance. Moreover, the findings verified the indirect effects of organizational entrepreneurship and entrepreneurial orientation on organizational performance.

Organizations whose performance is being rapidly improved are considered one of the most prominent features of today's societies. The most important asset in any organization is attention to human resources which is considered to be a competitive advantage in successful organizations since it can impact the success of the organizational performance, promote psychic capital and reduce organization-family conflicts. This field study set out to investigate the impact of psychic capital on work-family conflict and organizational performance. The research data were collected by administering a standardized questionnaire to a stratified random sample of 138 managers and employees at Real Estate Registration Office in Mashhad. The sample size was determined based on Morgans’ Table. The collected data were analyzed via Structural Equation Modeling, Partial Least Squares techniques and Smart-PLS software. The findings indicated significant impacts from most of variables. Hypotheses 1, 2, 4, 6 & 8 verified negative impacts and hypotheses 5 & 7 verified positive impacts. That is to say, the employees’ psychic capital was found to improve organizational citizenship behavior. The same variable, however, negatively impacted work-family conflict; that is, employees’ rich psychic capital and the support they received from the organization could reduce work-family conflict. Moreover, the intention to quit one’s job was also found to have a negative impact on organizational performance. In other words, the higher the intention to quit, the lower the organizational performance which is directly influenced by the employees. The findings can assist managers to realign their planning towards improved and motivated human resource.

An inevitable consequence of the information era is the rise in the number of various virtual organizations such as telecommuting which can be productive if a number of conditions are met. The current exploratory applied survey aimed to identify and rank order challenges in human resources which are among prerequisite conditions determining the extent of productivity and efficiency of telecommuting. The research data were collected employing a researcher-made questionnaire that was developed based on an extensive literature review to tap human resource challenges. The questionnaire was administered to the cluster sample comprising 144 managers and experts who had been selected randomly from a population of 230 at the challenge identification stage. In the ranking stage, a purposeful sample of 10 experts was selected to rank order the challenges. The data were further analyzed through Exploratory Factor Analysis, Principal Components Analysis and Analytic Hierarchy Process. The findings indicated that challenges relevant to occupation-related factors, personality traits, career quality, individualistic attitudes, professional qualifications and personal characteristics were respectively considered as the most important human resources challenges of telecommuters.

The expansion of cities along with the diversity of citizenship needs, on the one hand, and the development of information and communication technology, on the other, have highlighted the need to employ ERP systems in municipalities and urban organizations. Therefore, this applied library survey aimed to initially identify effective factors that may impact ERP Implementation and secondly prioritize and evaluate the influence and effectiveness of identified factors. To serve the identification purpose, valid domestic and international electronic data bases were search were done in the Persian and foreign scientific databases were searched to detect critical success factors in ERP Implementation that were further divided into 24 dimensions. Based on the Fuzzy Screening, 11 factors out of the 24 dimensions served as a basis for pairwise comparison of the factors and determining the impact and effectiveness. The research population was the senior managers of Qom municipality from whom 9 experts in planning and information technology were selected from the central Qom Municipality and FAVA Organization to form the research sample. The gleaned research data were analyzed via the DEMATEL method, Excel and MATLAB software. The most influential factors were found to be Culture and Organizational Features (R-C=1/24) including Vision (R-C=0/56), Staff skills (R-C=0/53), Top management support (R-C=0/41) and Communication (R-C=0/06), are influential factors and change management (R-C=-0/88), Vendor (R-C=-0/67), Control and evaluation (R-C=-0/52), Implementation strategy (R-C=-0/29), Costs (R-C=-0/23) and Project Team (R-C=-0/20). Moreover, the most influenceable factor was found to be Change Management (R-C=-0/88) including five factors of salespersons (R-C=-0/67), control and evaluation (R-C=-0/52), implementational strategy (R-C=-0/29), costs (R-C=-0/23) and project executive team (R-C=-0/20). Finally, top management support (R+C=10/54) and Vision (R+C=8/37) were found to be the most and the least interacting factors.

Capital productivity concerns the measurement of management power in making optimal use of capital as one of the important and limited company resources. In companies with highly efficient capital productivity, stocks are expected to offer higher returns and the explanatory power of the models proposed to predict stock returns is assumed to increase. The purpose of this study was, thus, to examine the extent to which capital productivity might influence the explanatory power of stock market predictive models and to scrutinize this viable effect at various stages of corporate life cycle. The Operating Profit Ratio (ROIC) was used to operationalize Capital productivity, the Tripartite Factor Model (Fama & Franch, 1993) and the Pentagonal Factor Model (Fama & Franch, 2013) were employed to predict stock returns and corporate life cycle was categorized via the Dickinson Cash Flow (2011). The research sample comprised 110 companies with specific descriptive characteristics selected from among all those listed on the Tehran Stock Exchange during a ten-year period from 2005 to 1394. The results of the hypothesis testing analyses demonstrated that capital productivity affects the relationship between market factor and risk-free growth at all stages of the life cycle, but size was found significantly correlated with risk merely at the maturity stage of the life cycle.

Objective: There are many climatic factors affecting the number of patients in hospitals which generally tend to make a Non-optimal use of their facilities and human resources.This research is aimed at discovering hidden knowledge between climatic factors and the number of hospital patients using data mining techniques. Methods: In this study, the relationship between climatic factors and the number of patients in Dr. Sheikh specialized pediatric hospital of Mashhad is investigated by classification based on multidimensional association rule mining. The number of patients in the nephrology, hematology, emergency and PICU department of this hospital have been considered separately, and consequently the relationship between the number of patients and the climatic factors such as air temperature, relative humidity, wind speed, air pressure and air pollution have been analyzed. This research has analyzed data gathered through a 19 month period and has been obtained by referring to the documents. In this research for feature selection, all subsets of climatic factors are searched and the effect of all subsets on the number of patients are evaluated using linear regression. Also for rule mining is used classification based on multidimensional association rule mining which is based on known Apriori algorithm. Results: The results show different patterns that indicate the relationship between the number of patients in the hospital departments with the climatic factors. Conclusion: This study is able to help analyze the relationship between the climatic factors and the number of patients in the hospital. Also, the rules will help managers make optimal planning for hospital resources according to the different number of patients.

Objective: According to the capability of analytical network process (ANP) in analysis of different dependencies and feedback relationships among elements of a decision problem, the current research aims to develop an ANP based method for the benchmark classification problems. Since the essential limitation of ANP is the increase of inconsistency in judgment of decision makers along with increase in problem dimensions, genetic algorithm is used to optimize ANP parameters and improve classification accuracy. Methods: Considering the objective, this study is a developmental research and in term of data analysis, it’s a quantitative and mathematical modeling one. In this research, first a multi criteria decision making problem is developed based on ANP and in form of a classification problem and then the unknown parameters of a super matrix were calculated by machine learning methods. Next, the most proper values of these parameters which include thresholds of each class and the applied coefficients in the super matrix are estimated based on sample’s benchmarks or data.The following processes have been conducted througha genetic algorithm. Finally, in order to validate the proposed method, its performance is compared to some frequently used classification methods in the reviewed literature. Results: The results indicate the very competitive performance of the proposed method compared to known machine learning methods. Conclusion: Multi-criteria Decision Making Methods (MCDM) are usually used for ranking purposes, however little attention has been paid to their high capabilities. In this paper ANP in combination with genetic algorithm demonstrated an efficient and suitable method in the field of data classification