List of Articles مدل‌سازی معادلات ساختاری

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  1 - Innovative Culture, Provides Improvement of Organizational Learning by utilizing internal branding (Research in Iran’s Oil Industry)
  Saeed  Aibaghi Esfahani Elaheh  Ebrahimi reza sheikh
  As the business world becomes increasingly complex and more astonishingly competitive; managers are turning to innovation culture as one of the few durable sources of learning and internalizing the brand. In this research; we investigated the Internal Branding Effect on More

  As the business world becomes increasingly complex and more astonishingly competitive; managers are turning to innovation culture as one of the few durable sources of learning and internalizing the brand. In this research; we investigated the Internal Branding Effect on organizational learning with the moderating role of innovative culture as a main hypothesis. To achieve the objective of this study, research was conducted to collect the required information by using standard questionnaires. The current research method is descriptive-correlative and practical, based on the objective. The sample size is (n = 168) employee at the Oil Research Institute and The hypothesis were analyzed through the technique of Structural Equation Modeling with Smart PLS 3 software. By the Cronbach's alpha the stability of the data collected in this study Obtained 0.854. Therefore, the reliability instrument has been decent the results of the data analysis show that internal branding has a positive and significant role in organizational learning. Research findings also confirm the role of moderating innovative culture. Manuscript profile
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  2 - Identifying and prioritizing key abilities affecting on successful technology transfer process in petrochemical downstream industries
  abbas khamseh Yadollah sadeghi Mehrdad Hosseini Shkaib taqi torabi
  Despite the importance of developing petrochemical industries, most of the country's exports in the petrochemical industry have been limited to raw materials and semi-industries, which is due to the incapability to acquire appropriate technology in the downstream indust More

  Despite the importance of developing petrochemical industries, most of the country's exports in the petrochemical industry have been limited to raw materials and semi-industries, which is due to the incapability to acquire appropriate technology in the downstream industries. Technology transfer is one of the most important shortcut methods for acquiring and developing technologies in these industries, but one of the most important challenges is the managers' little familiarity with the technology transfer process and the abilities it requires. The aim of this study is to identify and prioritize the effective abilities in the success of the technology transfer process in the downstream, petrochemical industries, and for this purpose a combined method of Structural Equation Modeling (SEM) and Analytic Network Process (ANP) has been used. In this regard, the content validity was confirmed by CVR and CVI forms and the final questionnaire was distributed and collected by the Porsline system among the statistical population and in order to investigate the accuracy of the theoretical model of the research, factor analysis with Structural Equation Modeling (SEM) and AMOS software was used. The results of this stage of the study indicate that 82 indicators in 8 ability factors affect the success of the technology transfer process in petrochemical downstream industries and the effectiveness of all 8 factors is ability at the semantic level. On the other hand, prioritizing the abilities that affect the success of the technology transfer process was done through the Analytic Network Process and Super Decisions software. The results show that technology dissemination abilities are the first priority, and technology adaptation abilities as well as development and improvement abilities are the second and third priorities. Manuscript profile
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  3 - Investigating the Effect of Smart Tourism Technologies’ Select Factors on the Satisfaction of Using Technology in Travel: A Case Study of Yazd Visitors
  Hashem Reisi amirreza konjkav monfared elahe hosseini
  10.52547/journalitor.35654.10.20.21
  Emerged out of recent advances and the development of information technology, smart tourism provides modern modes of communication, novel ways of collecting information, and new opportunities for value creation and management. Therefore, this study sought to investigate More

  Emerged out of recent advances and the development of information technology, smart tourism provides modern modes of communication, novel ways of collecting information, and new opportunities for value creation and management. Therefore, this study sought to investigate the influence of the technologies used in smart tourism on tourists’ satisfaction with using technology in their travels. The study's statistical population comprised domestic tourists who visited Yazd city in Iran, out of whom 240 individuals were selected via convenient sampling. The required data were collected by administering the 16-item questionnaire proposed by Yoo et al. (2017) and Huang et al. (2017). Moreover, the questionnaire’s technical characteristics were examined in terms of validity (structure and content) and reliability (Cronbach's alpha) to secure the accuracy of the research results. The research hypotheses were also tested based on the partial least squares method using the structural equation modeling and Smart PLS 3 software. The study’s results indicated that all three hypotheses were confirmed, as their t-statistic value was over 1.96. Furthermore, it was found that the highest impact factor belonged to informing aspect of smart tourism technologies, suggesting that offering information, interaction, and accessibility had a significant positive effect on the satisfaction of using technology in travel. It can therefore be argued that satisfaction with the use of technology in travel generates profits for tourism companies, leading to the loyalty of tourists to a particular destination. Manuscript profile