جستجوی مقالات مرتبط با کلیدواژه "معادلات ساختاری" در نشریات گروه "مدیریت"

Previous Researches shows that increasing competitive intelligence is significantly associated with technology intelligence in organizations. This study was conducted to investigate the impact of technology intelligence on competitive intelligence in Petro Sanat Gamron Company. This research is an applied and descriptively-survey. First, by studying the literature and summarizing the researches done and the opinions of experts, the indicators of competitive intelligence and technology intelligence were identified and then were categorized according to the relevant factors and final questionnaire was designed based on it. The validity of the questionnaire was measured using content validity and its reliability was measured by Cronbach's alpha. The questionnaire distributed among a statistical population of 65 managers and experts and the collected data were analyzed using structural equations modelling and SMART PLS software. Since the significance coefficient of all paths is higher than 2.58, it shows the significance of the positive relationship between these two variables with 99% probability.

Learning from failures and errors is a sustainable source of knowledge for organizations, leading to an increase in employees' absorptive capacity. High ability and motivation, which are crucial factors in employees' absorptive capacity, facilitate knowledge transfer within the organization and improve organizational innovation. The main objective of this research is to examine the impact of learning from errors and organizational failures on the innovative performance of the organization, as well as to investigate the mediating role of knowledge absorptive capacity.

This study is applied in terms of its objective and descriptive-correlational in terms of data collection. The statistical population of the research includes the employees of cooperative companies in the city of Ahvaz, from which 348 individuals were selected as a non-probability accessible sample and examined. To collect the research data, standard questionnaires by Wang and Ellinger [1], Minbaeva et al. [2], Raibowick et al. [3], and Van Dyck et al. [4] were used. The validity and reliability of these questionnaires were confirmed using content validity and Cronbach's alpha (above 0.7).

The results of the structural equation modeling test using SmartPLS-3 software indicated that although learning from organizational errors has a direct and significant impact on innovative performance, it also leads to a greater increase in innovative performance through employees' absorptive capacity. In other words, employees' absorptive capacity plays a facilitating and mediating role in the relationship between learning from organizational errors and innovative performance in the organization. Additionally, the results confirmed the positive and significant impact of learning from organizational errors on absorptive capacity, and absorptive capacity on innovative performance.

Originality/Value: 

The positive impact of learning from errors on innovative performance, both directly and through absorptive capacity, showed that the company can further enhance its performance by improving absorptive capacity and gaining experience from the errors that occur within the company.

With the advent of Internet technologies, traditional word-of-mouth communication has transformed into electronic word-of-mouth communication or EWOM. The influence of EWOM in the hospitality industry is very strong. Hospitality services such as hotels and restaurants cannot be evaluated before consumption. Therefore, buying intangible products and services is more risky, so customers rely more on word of mouth. This study was conducted with the aim of identifying the factors affecting the presentation of EWOM in the Instagram social network in the restaurant industry and providing a local model of these factors. The research approach is quantitative. The model was tested by distributing questionnaires among 384 Instagram users, and the relationships between variables were analyzed by Smart PLS 3 and Spss 26 software. The findings show that restaurant service, brand reputation, and individual, technological, and social factors are effective in electronic word-of-mouth advertising in the restaurant industry on the Instagram social network.

The environment has been raised more than before as an important component at different levels of a society and over time it has become the main concern of the macro management of all societies. The current research tries to provide a model of good governance by focusing on the environment. For this purpose and due to the lack of background, experts were used to identify the model. A sample of 10 experts was formed and 30 factors were extracted using in-depth interviews. Then the factors were validated using factor loading analysis. The results showed that the factors are significant at the 5% error level. Factors were weighted using the regression coefficient in the structural equation model. Then 30 factors were divided into 6 main factors and each main factor included several sub-factors. Also, the results showed that the development of sustainable cities and villages has been identified as the most important factor in the opinion of experts, and the weakest factors for approving applicable laws are in the field of environment, transparency and development of civil society, which shows that these factors have are less important.

Today, a large part of the company's property and assets are related to intangible assets, whose value and price have been determined in recent years for two reasons, the formation of concession contracts and the determination of the share of each partner in capital contracts. Joint ventures have been taken into consideration. In this research, a conceptual model has been presented to identify the influencing factors in technology valuation in the field of financing using foundation data theory. For this purpose, a model has been presented by using the opinion of the experts of Isfahan Regional Electricity Distribution Company and a comprehensive review of the issue in the field of technology valuation selection for the analysis of financial decisions in the field of financing and investment in the solar energy industry. To develop the presented model, a qualitative model based on foundational data theory has been followed. With regard to all the cases mentioned in this research, the technology valuation model for the analysis of financial decisions in the field of financing and investment in the solar energy industry according to the collection of experts' opinions according to three main categories (valuation model, technology organization and investment) and 9 sub-categories (valuation model, technology organization and investment) and 9 sub-categories (low cost, exclusive experience, value provided by technology, communication, technological infrastructure, agility, knowledge management, human resources, new financing model) design has been To ensure that the factors are chosen correctly or not, a content validity analysis has been performed for each of the categories, and according to the results, all the categories have the necessary sufficiency to be included in the valuation model. In the continuation of the research, using the structural equation model, the relationships of the indicators have been modeled in Lisrel software to determine the influence of each factor on each other and also on its main factors. Based on the obtained results, the relationship between the subcategory of human resources and the technology organization in the funding valuation model is identified as meaningless with an impact factor of 0.24. Therefore, this criterion cannot be included in the financing valuation model. But the relationship of other factors with their main criteria in the valuation model of financing is significant. Finally, the validity of the model has been investigated using statistical tests.

The competitive environment, diverse needs of customers, different services and executive processes, and environmental problems in most countries have led to the formation of new environments for businesses, which necessitates the need to change the approach of banks to pay attention to an important sub-section of comprehensive banking called corporate banking. Has done. In terms of the basic practical purpose, in terms of nature, survey research and in terms of paradigm, combined-exploratory research, sampling was done in a purposeful manner in the qualitative part of the research and in a stratified random manner in the quantitative part. In the qualitative phase, interviews were conducted with 15 people, experts and academic experts and activists in the banking field until reaching theoretical saturation, and the samples of the quantitative part were selected based on Cochran's formula. The research tools in the qualitative part were determined using the exploratory method of the components of corporate banking and the factors affecting it, and they were evaluated in the quantitative part through descriptive-survey research. The research tool in the qualitative part was semi-structured exploratory interview, and in the quantitative part, a researcher-made questionnaire was used to evaluate corporate banking based on green businesses, which was designed based on the codes obtained in the qualitative stage. In the qualitative part, the interviews were analyzed using the foundation's data analysis method. The validity and reliability of the components were examined and the Cronbach's alpha of all the above components was 0.7 and during that; the most important components of corporate banking and green businesses were evaluated. In the quantitative part, the accuracy of the research model was confirmed through structural equation method using Amos software, and it was found that the selection of concepts, dimensions and indicators was of high accuracy and could provide a suitable framework for document compilation. Provide corporate banking perspective based on green businesses. Based on this, 21 components were identified and 124 indicators were identified and classified based on axial coding and their relationship with the components. Finally, the model was fitted and the results of the quantitative part confirm the findings of the qualitative part.

The aim of this study is to develop a competency model for jobs at the Bushehr Nuclear Power Plant, a subsidiary of the Atomic Energy Organization of Iran. 

This mixed-methods research utilized both qualitative and quantitative approaches. Initially, qualitative data were collected through library studies and thematic analysis. Based on this data, a questionnaire was designed to gather quantitative information, which was distributed among 90 employees and managers of the Bushehr Nuclear Power Plant. The collected data were then analyzed using structural equation modeling. 

The results of the analysis showed that the proposed competency model had a good fit, with all structural paths being statistically significant. Both technical and managerial competencies played a crucial role in improving employee performance and safety. The model’s goodness-of-fit index was calculated at 0.413, indicating a strong fit. 

This study concluded that developing a multidimensional competency model, including technical, managerial, and communication skills, can lead to improved efficiency and safety in nuclear power plants. Implementing such models in recruitment, training, and employee evaluation processes can positively impact organizational productivity.

The objective of this study is to design and validate a human capital governance model with an efficient management approach in Iran’s public organizations, particularly in the Ministry of Industry, Mine, and Trade (IMIDRO). 

This study employed a mixed-method approach. Initially, semi-structured interviews were conducted with 10 purposefully selected human resource managers using grounded theory until theoretical saturation was achieved. The proposed model was then validated through the distribution of questionnaires among 380 managers and employees in public organizations. The collected data were analyzed using structural equation modeling (SEM). 

The results indicate that efficient human capital governance can significantly improve the performance of public organizations. Interview findings and coding analysis revealed that increasing team interactions, improving individual competencies, and optimizing human capital utilization are key success factors in human capital governance. Additionally, the proposed model was confirmed through structural equation modeling. 

The human capital governance model with an efficient management approach can lead to improved organizational performance and the achievement of developmental goals. By creating strong management mechanisms, the model activates human capital capabilities, enhancing productivity and efficiency in public organizations. The findings of this study can serve as a basis for improving human capital governance in other public and private organizations as well.

This study aims to develop a roadmap for the growth of industrial startups using the Blue Ocean Strategy approach. 

This research is applied in nature and descriptive-survey in method. Initially, information was gathered from literature reviews, field studies, and comparative analyses. Then, 19 experts and specialists in the field of industrial startups were interviewed, selected through purposive sampling, to extract the components and variables of this domain. The obtained indices were screened using the fuzzy Delphi method over three rounds. In the quantitative section, the statistical population included managers and stakeholders of industrial startups, with 60 individuals selected through simple random sampling and Cochran's formula. The final Delphi questionnaire was distributed among this sample. The validity of the questionnaires was confirmed by six startup experts with PhDs and at least five years of managerial experience in the field. Reliability was tested using Cronbach's alpha and composite reliability. Data analysis was conducted using structural equation modeling and PLS software. 

The findings indicated that the derived indices were strongly validated. These indices included 38 indicators across 11 components and 5 dimensions, each playing a significant role in the development of industrial startups. Key components such as innovation, creativity, and the use of information technology and the internet showed a positive and significant impact on startup development. 

The results demonstrated that developing a roadmap for the growth of industrial startups using the Blue Ocean Strategy approach can significantly aid the growth and development of these businesses. Additionally, using this approach can reduce market competition and create new opportunities for startups. These findings underscore the importance of precise policymaking and effective support from both the government and the private sector to provide the necessary infrastructure for startup success.

Most organizations face a challenge in making strategic decisions in the current business environment. In this regard, business analysis integrates the data of an organization and provides analytical reports for the decision-making of the managers, and therefore can indirectly affect the economic performance of the company. But on the other hand, the ineffectiveness of business analysis on performance has many negative effects that could be examined. On the other hand, the quality of information and innovation capabilities with the impact of business analysis and organization agility through increasing the flexibility, speed and quality of the organization can be effective in this process. The purpose of the study is to examine the role of business analysis on the agility and performance of tile and ceramic factories. The sample size includes 360 employees and managers of Yazd province using the Cochran formula, and a questionnaire used for collecting information. In terms of purpose, this is an applied study and descriptive in nature. Hypotheses were developed based on the theoretical background of business intelligence, business analysis and performance management. The results indicate the significant effect of business analysis capabilities on information quality (with a path coefficient of 0.598) and innovation capabilities (with a path coefficient of 0.463). Information quality and innovation capabilities effect on the dependent variable of agility with path coefficients of 0.482 and 0.359, respectively. The effect of agility path on performance has the highest path coefficient (0.770).

In recent decades, the concept of e-marketing has been expanding and taking on a new meaning every day. E-marketing can bring new business opportunities. The purpose of this research was structural analysis of new business creation by identifying and developing electronic marketing opportunities in companies based in the growth center. In this applied research, descriptive-field methods were used to collect data. The statistical population of this research is 400 employees of companies located in the growth center and science and technology park, of which 196 people were selected as a sample using Cochran's formula. The data collection tools are two Likert scale questionnaires and paired comparisons questionnaires. The validity of the research tool was confirmed by the opinions of several professors and its reliability was confirmed through Cronbach's alpha with a coefficient of 0.83. SEM-PLS method was used in Smart-PLS-3 software for data analysis and AHP was used in Expert Choice for ranking. The findings show that all aspects of electronic marketing opportunities have been effective in creating new business. Also, the result of prioritizing the components of E-marketing opportunities, customization with a rank of 0.237 was considered to have a higher degree of importance than all dimensions. E-marketing opportunities exist in many forms. In order to create a new business, the need to exploit each of these opportunities in the context of electronic marketing, such as customization, creating innovation, etc., can expect business growth and development at the international level as well.

the present study was conducted to design a model of customer loyalty of the Social Security Organizatio.

the method used in the research is data theory.The sampling used in this article is random sampling based on the Cochran's formula of 370 people. The main basis of data collection is in-depth interviews With social security managers of Kermanshah, Kurdistan, Hamedan and Lorestan provinces and university experts by snowball sampling method to achieve theoretical saturation.

the data collection tools required for the research are semi-structured interviews and questionnaires. SPSS and SMART PLS software were used for data processing. The research findings obtained after performing the three stages of open, axial and selective coding show that the final research model consists of 6 general categories and 32 sub-categories.

the results led to the identification of causal, contextual, interventionist and evaluation conditions in the analysis of customer behavior based on the presentation of the customer loyalty model. Direct and significant effect of causal factors on category, category on strategy and strategy on consequences, direct and significant effect of contextual factors on category and strategies and intervening factors on categories and strategies were confirmed. The results of this study indicated a good fit of the conceptual model of the present study.

  The purpose of this research is to identify and prioritize factors affecting the development of Iran's transportation, customs and transit cooperation with other countries. This research is a mixed research method. The qualitative part of the research includes interviews with experts, so the intended statistical population was formed by experts familiar with the subject of the research. At first, the results of the qualitative part of the interview were coded with the data method of Foundation, Strauss and Corbin, and then the factors affecting the development of Iran's transport, customs and transit cooperation with other countries were identified and ranked. A closed questionnaire was used. The statistical population includes 12 experts in the qualitative section and 127 experts and customs managers in the quantitative section. Cronbach's alpha method was used for the reliability of the quantitative part of the questionnaire. In the next stage and step of the research, using the axial coding method and with analysis in the data theory of the foundation, the relationship between the classes produced in the open coding stage and the relationship of other classes with the central class are established in 6 headings, which are: 1. Conditions Ali, 2. central phenomenon, 3. strategies and measures, 4. intervening conditions, 5. contextual conditions, 6. consequences were obtained based on the paradigm model (Strauss and Corbin, 1998). Before that, considering these 6 classes and their relationship with each other, and with the opinion of professors and experts, the main and subcategories were identified from all the obtained indicators, and their priority and ranking were determined. In the quantitative part, the data analysis method including t-test and using structural equations has been determined and analyzed by SPSS and SmartPLS software.

Tourism as a global activity today has doubled in importance due to the overlap of the three principles of job creation and income generation, tourist satisfaction, and environmental protection. Since different tourist destinations are competitive in attracting tourists, improving and promoting effective indicators in attracting tourists to tourist destinations is of great importance. This study aims to model the factors affecting the image of tourist destinations and their impact on tourist satisfaction in Tehran. The research method is descriptive-analytical, which has been done by the survey method.  The statistical population of this study is tourists visiting Tehran. In order to determine the number of research samples, due to the unknown number of the statistical population, the required number of samples was 354 questionnaires. In order to analyze the data, a factor analysis statistical test, one-sample T in SPSS software, and structural equations in Amos Graphics software environment were used. The results show that using a factor analysis test to measure the effects of image components of tourist destinations on tourist satisfaction, 6 factors whose specific values were greater than 1 were extracted. These six identified factors were able to 63% of the variance of component image effects. Explain tourism on the satisfaction of tourists. Also, the results of the one-sample t-test to calculate the final score of the level of satisfaction with the image of tourist destinations, with a value of (2.39), were in an undesirable and unacceptable situation. Also, the results of second-order structural equation analysis showed that the overall image of the destination factor has the highest factor load on tourists' satisfaction with 60%. The final results of the structural equation model show that the effect of cognitive image on the overall image is equal to (0.21), the effect of the emotional image on the overall image is equal to (0.18), the effect of the persuasive image on the overall image is equal to (0.30), and the effect of the overall image on the satisfaction of tourists according to the route analysis model is equal to (0.27).

The objective of this research is to examine the relationship between quantum skills and educational innovation among sports science professors, with the mediating role of organizational commitment.

he research was conducted using an applied purpose and descriptive-correlational implementation. The statistical population comprised 140 members of academic staff from 8 faculties of physical education at national universities in Tehran, during the academic year 1400-1401. The data was collected using standard questionnaires for quantum management, educational innovation, and organizational commitment. The validity of the questionnaires was confirmed through content and structure analysis. Data analysis was conducted using SPSS 26 and Smart PLS 3 software, through descriptive and inferential statistical methods.

The research findings showed that the average of each component of the seven quantum skills, educational innovation, and organizational commitment is higher than the hypothetical average, and the desire for educational innovation increases with an increase in the seven quantum skills. The results also indicated a positive and significant relationship between quantum skills and educational innovation, as well as between organizational commitment and educational innovation among sports science professors. Additionally, there was a positive and significant relationship between quantum skills and organizational commitment, as well as between quantum skills as a predictor and educational innovation as a criterion.

The findings of this research indicate that quantum skills and organizational commitment play a significant role in educational innovation among sports science professors. The results suggest that enhancing quantum skills and organizational commitment can foster a higher desire for educational innovation among sports science professors. These findings may be useful for educational policymakers and sports science institutions to improve the quality of education in this field.

Historically, little attention has been paid to poverty in entrepreneurship studies. Therefore, after discovering the conceptual model of business growth for entrepreneurs at the bottom of the pyramid, this study examines it. In fact, the main question is what relationships can be effective in the favorable development of business for entrepreneurs at the bottom of the pyramid. Accordingly, the present study, emphasizing the pragmatic philosophy and paying attention to the mixed approach, investigated the relationships between the variables involved, using the strategy of grand theory with the help of interviews and questionnaires. All entrepreneurs include the bottom of the pyramid. In accordance with the statistical societies of the sample size of the study, 20 business experts have been considered in the interview section, and in the quantitative section, the required volume for the questionnaire has been considered as 350 people according to Hensler's quorum. It should be noted that this volume is determined according to the importance of the subject and the limited statistical population. In the applied technique section, it has been tried to check both point of view the face validity of the content and the reliability based on the agreement between the two coders in the interview section. And in the quantitative part, the sample size and the definition of the statistical population is determined by convergent and divergent validity. As a result, the eight main components were identified.. Also, based on the results of structural equations, the final model was fitted sufficiently

The purpose of this study is to investigate the effect of cultural factors on creating trust in e-commerce in small and medium knowledge-based companies located in Tehran Science and Technology Park. This research is applied in terms of purpose in terms of descriptive-survey method. The statistical population of this study is all managers and employees of knowledge-based companies located in Tehran Science and Technology Park. The statistical population of this study includes about 700 people. In this study, 248 employees and managers participated in this study using non-randomly available methods as a statistical sample. In this study, Structural Equation Modeling was used to analyze and test the hypotheses. The results showed that collectivism, avoidance of uncertainty and long-term approach do not have a significant effect on trust in business in small and medium-sized knowledge-based companies. The power gap has a negative effect on e-commerce trust in small and medium-sized knowledge-based companies, and masculinity has a positive effect on e-commerce trust in these companies. It was also found that trust in e-commerce has a positive effect on empowerment, cohesion and benevolence in small and medium-sized knowledge-based companies. Therefore, in order to achieve e-trust, it is recommended that the top level managers of these institutions make decisions in consultation with downstream people and regularly seek the opinion of downstream people in their decisions and have constructive interactions with them.

 Change and competition are two major characteristics of today's societies and organizations, and the challenges created by these changes require organizational resilience. Knowledge management and innovation management help organizations to deal with unpredictable changes in a dynamic environment. Organizations are more successful if they learn earlier, faster and better than their competitors and learning moves in line with increasing organizational resilience. In this regard, the main goal of the current research is to provide a model to investigate and measure the impact of knowledge management on organizational resilience with The mediating role is innovation management. The main research question is what are the main components of knowledge management and organizational resilience to explain the meaningful relationship between them and the mediating role of innovation management? The statistical population includes 60 research managers of the studied research organization. The research method is descriptive and correlation type and is specifically based on the structural equation model. In this research, three questionnaires of knowledge management, organizational resilience and innovation management with a range of five options were prepared and their face and content validity was confirmed using experts' opinions and confirmatory factor analysis. The findings showed that considering that the significance value of Z is higher than 1.96 and also the value of goodness of fit (GOF) is 0.650, there is a significant relationship between knowledge management and organizational resilience through the mediating role of knowledge management. Increasing the level of knowledge management and innovation management mechanisms can increase organizational resilience

Research on the factors affecting entrepreneurial intention has recently attracted surging attention. However, there are limited studies focusing on indirect factors impacting entrepreneurial intention and comparing the findings across a developed and a developing country. Therefore, in this research, based on the theories of planned behaviour and entrepreneurial passion, we discuss the mediating role of entrepreneurial passion in the relationship between personal attitude and entrepreneurial intention as well as in the relationship between subjective norm and entrepreneurial intention. Quantitative data were collected from 122 and 260 undergraduate students in England and Iran, respectively, and were analysed by structural equation modelling in AMOS. The findings show that, contrary to the predictions of the mentioned theories, entrepreneurial passion also has a direct and positive effect on entrepreneurial intention. Also, entrepreneurial passion partially mediates the relationship between personal attitude and entrepreneurial intention in both countries. However, passion fully mediates the relationship between subjective norms and entrepreneurial intention in Iran, and partially in England. Our findings thus illustrate that to strengthen entrepreneurial intention, policymakers should develop policies to enhance entrepreneurial personal attitudes, and subjective norms to encourage entrepreneurial passion and consequently entrepreneurial intention.