Journal of Innovation Management and Organizational Behavior
Volume:3 Issue: 3, Autumn 2023

Unemployment is recognized as a fundamental problem in the society, especially among the graduates of the country's educational system. The aim of this research is to identify the factors preventing graduates from creating employment.Thus, this research aimedto explain therelationship between creativity and resilience in predicting nurses' job satisfaction during the coronavirus epidemic.

The statistical population comprises nurses living in Tabriz city. The sample was selected according to available sampling and 228 people were counted using Cochran's formula. Ahvaz Hardiness Scale (1998), TorranceTests of Creative Thinking (1966) and Brayfield and Roth Job Satisfaction Scale (1951) where used to collect data. The data were analyzed using univariate and multivariateregression model.

The t-value for the fluidity, flexibility, originality, elaboration, and resilience,score is significant, (p<0.01) indicating the meaningful direct effect with Beta values of 0.322, 0.359, 0.511, 0.318, and -0.365, respectively.

Creativity is associated with job satisfaction, and creativity development is a good predictor of job satisfaction, however, such a relationship is reversed for resilience, and resilience is a poor predictor of job satisfaction.Keywords: resilience, creativity, job satisfaction, nurses, covid-19.

The current research was conducted with the aim of providing a model of informal education to improve lifestyle. The method of the current research was based on the objective, practical and based on the nature of the data, it was a mixed type (qualitative-quantitative) of sequential discovery type. The participants in the qualitative part of the research included academic experts and organizational experts. To determine the samples, a targeted non-random theoretical snowball sampling method was used, and 20 people were considered as the sample size using the principle of saturation. In the quantitative part, the statistical population of the research included all the employees of the Road, Housing and Urban Development Research Center who are working in the number of about 310 people. Cochran's formula was used to determine the sample size, and 203 people were selected as a sample by stratified random sampling. The measurement tool of the current research consisted of two qualitative parts (semi-structured interview) and quantitative part (researcher-made questionnaire). In order to ensure the validity of the tool in the qualitative part of the research, the opinions of professors familiar with this field and academic experts who were experts and informed in this field were used. To measure the reliability of the interviews conducted in the qualitative section, retesting and intrasubject agreement methods were used. In order to determine the validity of the questionnaire, face validity and content validity were used, and reliability was calculated through Cronbach's alpha coefficient, which were confirmed. The method of data analysis in the qualitative part of theoretical coding was based on Nizamand's data theorizing method. Data analysis in the qualitative part of the research was done using Max QDA 2020 software. Data analysis was performed in the quantitative section using Spss-V22 and Lisrel-V8.8 software. The results showed that the indicators, components and dimensions of informal training to improve the lifestyle of employees in the road, housing and urban research center included the nature and method. Also, the causal conditions included organizational culture and individual factors, the consequences included the promotion of competence and empowerment, the strategies included organizational support strategies and organizational knowledge, the fields included the field of educational facilities and the field of managers' support, and the barriers included legal barriers and infrastructural barriers. Finally, the conceptual model of the research was presented, which had a good validity.

Innovation is a tool by which entrepreneurs create new sources of wealth or enrich existing resources so that their potential for generating wealth increases. In order to develop great innovations, companies need new innovation models that can solve new problems facing innovation development. Therefore, the aim of the current research is to identify the dimensions of the innovation model in the country's steel industry.

The approach of the current research is qualitative. The current research is applied-developmental in terms of purpose. The research strategy is a Delphi-type survey and thematic analysis. First, by using the analysis and interpretation of 8 interviews conducted with 8 experts of Iran's steel industry, the attitude of managers of different layers in Iran's steel industry regarding innovation was examined and the theme was analyzed. In this section, by using the line-by-line review of the interviews and the integration of the model obtained from the interview and literature review, the first round of Delphi questionnaire was formed and given to the experts.

The Delphi process was completed in four rounds and an agreement was reached after the fourth round. In this context, 54 indicators were identified in the form of 8 main categories.

The results of the research presented a unified model for the application of innovation in the country's steel industry to managers and researchers.

The purpose of this research was the influence and prioritization of the international branding components of the tourism industry on tourism marketing in Tehran.

This study was a descriptive survey in terms of implementation methods. The statistical population included all technical officials and managers of the Institute of International Tourist Companies and tourist tour guides of Tehran province in 2022, numbering 8499 people. Using the table of Krejcie and Morgan and the available method, 367 people were selected as the sample size. The data collection tool was the international tourism branding questionnaires made by the researcher based on Jalalian's research (2019) and Sangabi's tourism marketing (2014). The data were analyzed using descriptive statistics (frequency and percentage) and inferential statistics (Kolmogorov Smirnov, t-test and regression) using SPSS-26 software.

The results showed that the international branding components of the tourism industry affect tourism marketing in Tehran. Also, the results showed that brand image, awareness, perceived quality, and loyalty are the most important components of the tourism industry's international branding in Tehran's tourism marketing.

One of the reasons for the importance of the concept of special brand value is that city managers and company owners can gain a competitive advantage with the help of brands with high special value. The more positive the tourists' evaluation of each of the specific brand value dimensions, the higher the brand of that destination has a higher specific value among tourists.

In today's complex environment, designing strategies that can help them improve market performance is essential.

The research is applied in terms of methodology and the type of reasoning is deductive. Data collection is based on numerical information and questionnaires and is quantitative. The study's statistical population includes managers and experts of 11 major dairy companies located in Tehran and Fars provinces in Iran. Among the distributed questionnaires, 306 questionnaires were returned to the researcher. In order to investigate descriptive statistics and preprocessing, SPSS 26 software and Smart PLS 3 software have been used for data analysis and statistics. Structural equationmodelling (SEM) method is used to test the relationships between variables.

The results showed that sustainable management activities, technology commercialization capabilities (TCC) and sustainable competitive advantage (SCA) positively and significantly affect market performance. Also, the impact of the supply chain positively adjusts the causal relationship between TCC and market performance.

Considering that the mentioned model in the research has a good fit and improves the market performance and SCA of the company, it can be concluded that companies can increase the company's market performance by paying much attention to the components of sustainable management activities.

This study aimed to investigate the effect of product market advertising on the risk of falling stock prices in companies listed on the Tehran Stock Exchange.

This research was of a descriptive type, and in terms of the purpose of the applied research, and in terms method of the descriptive-post-event research method. The statistical population consisted of managers and experts of companies admitted to the Tehran Stock Exchange, 73 companies were selected as the research sample during the 5 years of 2018-2022 by systematic elimination method. In order to collect the required information, the research was based on the library data collection method. The research data has been collected from the published reports of the documents and documents by the companies admitted to the stock exchange by Rahavard Novin software. In order to analyze the data, descriptive and inferential statistics methods were used with EXCEL, SPSS, and EVIEWS software.

The results showed that product market advertising affects the risk of falling stock prices in companies listed on the Tehran Stock Exchange. Also, the results showed that advertising costs, advertising intensity and advertising compression affect the risk of falling stock prices in companies listed on theTehran Stock Exchange.

The results indicate that the research model is well-fitted and has a good meaning. Investors and stock market players should consider product market advertising as a factor influencing the risk of falling stock prices in order to make correct decisions.

The aim of this research was to present a conceptual model for Central Bank supervision over banks with a grounded theory approach.

In this study, the grounded theory research approach based on parametric methods is employed. The statistical population of this research comprises experts and professionals in the field of central banking, capable of providing valuable information to the researcher. Sampling in this research has been conducted purposively. For this purpose, the qualitative samples of this research consist of 15 experts and professionals knowledgeable in the field of central banking. Data analysis of this research has been performed following the procedures of Strauss and Corbin (2011) at the Central Bank.

According to the findings of the current research, factors such as government ownership in banks and changes in bank ownership, the impact of general economic conditions, the role of governance and government in supervision, government intervention in decision-making and management of the banking system, and the necessity of consistency and unity of approach in supervision are influential as intervening conditions on the strategies of the supervisory model. Further, the readiness of managers and experts in the banking system to accept the model, creating economic and social conditions meaning stability in the economic situation based on macroeconomic variables, attention to the characteristics of the banking industry as intermediaries in allocatingsurplus resources of some economic sectors to others in need of financial resources, and defining a suitable position for the supervisory institution in terms of ensuring the independence of the supervisory body, and providing sufficient authority in supervision were contextual conditions. Then, strategies for the success of the supervisory model were presented, including the identification and assessment of major risks in the banking industry such as credit risk, liquidity risk, market risk, and operational risk, in terms of structure and risk management methods, related analyses, and their impact on the future outlook of each bank's activities.

Strategic analyses regarding the distribution of granted loans, commitments, investments in affiliated companies, and the status of bank reserves, assets, and collaterals, and the presentation of precautionary plans during economic shocks or potential crises are among the strategies of each bank.

The purpose of this study was to design an open innovation model for human resource management in the petrochemical industry.

The population consisted of 17 university professors specialized in human resources and experts and senior managers of the petrochemical industry, selected through purposive sampling. The main tool used in this study was semi-structured interviews, and open, axial, and selective coding methods were used for data analysis with the assistance of MAXQDA 2020 statistical software.

The results of open coding revealed that a total of 215 open codes were identified, forming 83 categories.

Ultimately, the final examination of these categories determined that the most important factors affecting open innovation include human resource management, organizational leadership, knowledge management, organizational infrastructure, collaboration with universities and research institutions, and external participation. Furthermore, organizational structure, information technology capabilities, and social media were identified as intervening factors, while organizational relationships, organizational culture, and managers' emotional intelligence were recognized as contextual factors in the implementation of open innovation. Among the strategies for improving the open innovation paradigm are organizational learning, idea evaluation structures, micro and macro investments, business intelligence, organizational entrepreneurship, and growth centers, leading to organizational readiness, improved absorptive capacity, cultural infrastructure enhancement, knowledge resource updating, intellectual property, outsourcing approach, organizational performance improvement, and market change adaptability.

This study aimed to examine the strategies and consequences of developing the fluid capacity of human resources in Maskan Bank.

The current research method was mixed (qualitative-quantitative) and applied in nature. The qualitative section's population included academic experts and specialists in the field of human resources, while the quantitative section involved managers, experts, and employees of Maskan Bank. In the qualitative part, a purposive sampling method was used, and in the quantitative research, stratified random sampling was employed. The research instruments in the qualitative part consisted of semi-structured interviews, and in the quantitative part, a questionnaire based on qualitative findings was used. The validity of both sections of the study was assessed through a face validity method. For analyzing the findings, coding method was used in the qualitative part,and structural modeling and confirmatory factor analysis were applied in the quantitative section, using LISREL and SPSS24 software.

The findings showed that the strategies (including customer satisfaction, creating competitive advantage, strengthening financial and economic structure, improving productivity, enhancing human resource empowerment, job independence of employees, and realizing the bank's macro goals and strategies) explained 58% of the variance, and the consequences (knowledge-basedorganizations, enhancing specific knowledge and skills, updating banking knowledge, creating added value, expanding an effective work environment, creating learning networks, and attracting competent human resources) explained 54% of the variance in developing the fluid capacity of human resources (P<0.05).

Based on the results, it can be said that the development of the fluid capacity of human resources in Maskan Bank is influenced by both strategies and consequences; therefore, banking systemplanners can consider these factors for further improvement of the bank.

This research aimed to design a flipped learning-based education model (case study of education in the districts of Tehran province).

The study was developmental-applied and mixed-method (qualitative-quantitative) in nature. In the qualitative part, thematic analysis was used to identify dimensions, components, and influential factors, while a descriptive-survey method was employed in the quantitative part. The qualitative sample comprised university faculty members in the fields of educational management and primary education, curriculum and instruction, as well as primary school administrators and teachers, reaching theoretical saturation after 19 interviews. In the quantitative section, 379 primary school teachers from Tehran's districts were selected as the sample using Cochran's formula.

In the qualitative part, 45 indicators, 9 components, and 3 dimensions were identified. The questionnaire's validity was confirmed using the CVR method. A Cronbach's alpha coefficient of 0.802 indicated high reliability of the questionnaire. According to the research model's results, among the dimensions, the teaching and learning process, with a coefficient of 0.700, was found to be of greater importance in the flipped learning-based education model. Additionally, the model's validity was assessed through internal and external validation.

This study successfully developed a flipped learning-based education model for primary schools in Tehran's districts, highlighting the significant role ofthe teaching and learning process in this context. The model's validity and reliability were rigorously established, marking a substantial contribution to the field of educational management and primary education.

In today's world, the aviation industry has become one of the most significant industries globally due to the ever-increasing global population and the rising demand for air travel. To enhance efficiency, reduce costs, and improve passenger experience, airline companies are seeking to transfer technologies based on competitive advantage and utilize big data to better their processes and decision-making. The current research aims to present a competitive advantage-based technology transfer model grounded in the grounded theory approach.

The research methodology employed is qualitative, based on the grounded theory strategy. Deep interview techniques were used for data collection. Through purposive sampling, theoretical saturation was achieved after 11 in-depth interviews.

The grounded theory approach in this study entailed three coding stages: open, axial, and selective, identifying 22 general categories within a paradigm including causal conditions, context, intervening conditions, core categories, strategies, and outcomes.

The results indicate that in today's competitive business environment, airline companies are looking for ways to increase efficiency, improve passenger experience, reduce costs, and achieve a competitive advantage. To achieve such goals, the transfer of data-based technologies and competitive advan

In today's world, the aviation industry has become one of the most significant industries globally due to the ever-increasing global population and the rising demand for air travel. To enhance efficiency, reduce costs, and improve passenger experience, airline companies are seeking to transfer technologies based on competitive advantage and utilize big data to better their processes and decision-making. The current research aims to present a competitive advantage-based technology transfer model grounded in the grounded theory approach.

The research methodology employed is qualitative, based on the grounded theory strategy. Deep interview techniques were used for data collection. Through purposive sampling, theoretical saturation was achieved after 11 in-depth interviews.

The grounded theory approach in this study entailed three coding stages: open, axial, and selective, identifying 22 general categories within a paradigm including causal conditions, context, intervening conditions, core categories, strategies, and outcomes.

The results indicate that in today's competitive business environment, airline companies are looking for ways to increase efficiency, improve passenger experience, reduce costs, and achieve a competitive advantage. To achieve such goals, the transfer of data-based technologies and competitive advantage is proposed as a significant strategy.tage is proposed as a significant strategy.

This study aims to assess the role of market share development on competitive advantage in dairy companies.

The present research employs a mixed-methods approach (quantitative and qualitative). In the qualitative phase, purposeful sampling was conducted until theoretical saturation was achieved, and the statistical population, in accordance with the systematic pattern of Grounded Theory, included 12 experts in the fields of marketing and marketing managers in dairy companies. The Grounded Theory approach was utilized for qualitative data analysis and the presentation of a paradigm model using MAXQDA software, version 20. In the quantitative section, the population consisted of 730 employees of dairy companies, from which a sample size of 252 was selected using Cochran's formula. Quantitative data were analyzed using descriptive statistics, inferential statistics, and structural equation modeling (with a Partial Least Squares approach) through Smart PLS 3.0 software.

Based on the results ofthe qualitative analysis, 22 categories and 78 indicators were identified in six main groups: causal conditions (internal marketing, product life cycle management, market attractiveness, marketing mix, competitive strategy, planning and goal setting), contextual factors (customer characteristics, competitive environment, and market turbulence), core phenomenon (market share development strategy), strategies and actions (market share management, sales promotion, advertising, competition, brand equity, and market segmentation), intervening factors (risk management and sustainable competitive advantage), and outcomes (brand position consolidation, profitability, bargaining power, and market share increase).

The results obtained in the quantitativesection indicated that the proposed model of the research has adequate validity.

The main objective of this article is to identify the dimensions and components of health tourism with a strategic business orientation approach using thematic analysis.

The research method is qualitative. In addition to documentary studies, the thematic analysis technique with MAXQDA12 software was used to identify factors and components. The population in this study consisted of all experts in the field of tourism and health, as well as senior managers with extensive experience and a high track record in the field of tourism and health, after which theoretical saturation was achieved following 14 interviews. The interviews lasted between 75 to 120 minutes. Ultimately, basic, organizing, and comprehensive themes were extracted.

Five factors (developmental, strategic, infrastructural, limiting, and outcomes) and 20 dimensions (organizing themes) and 43 components and 208 indicators for health tourism with a strategic business orientation were extracted.

The results showed that the majority of experts believed that health tourism with a strategic business orientation faces issues in structural areas and domestic policies, and these factors have the most significant impact in this regard.

The research examines the strategic and tactical aspects of content sharing as a means to enhance visibility, engagement, and brand loyalty in the digital realm, drawing on perspectives from managers and experts in marketing consultancy.

Employing a mixed-methods approach, which combines qualitative interviews and quantitative surveys, the study provides insights into current practices, challenges, and opportunities that marketing consultants face in utilizing social media for branding.

Through qualitative analysis, the study identifies key factors influencing successful branding on social media, including the creation of appealing content and strategic interaction with customers.

This research contributes to the advancement of knowledge in the field of social media marketing and offers practical recommendations for industry professionals, enabling them to adapt to the dynamic nature of online branding in the digital age.Recommendations are provided for leveraging digital marketing strategies to improve brand image and performance, ultimately aiming to guide businesses in navigating the evolving landscape of social media branding.

The purpose of this article was to investigate the antecedents and consequences of the conceptualized model of health leadership for the promotion of employee health in the hospitals of Lorestan University of Medical Sciences, Health and Medical Services.

The research method employed was qualitative, using thematic analysis, and was applied in nature. The participants in the study included some experts in the field of management in the health sector, who were selected based on purposive sampling. Fourteen individuals were chosen based on specific criteria (management service history in the health sector, willingness to be interviewed, general management experiences, publications in the health and management fields). The sample size was also determined basedon the principle of theoretical saturation. The research tool was semi-structured interviews, which were developed through several rounds of feedback with experts. Its validity was confirmed through expert opinions, and reliability was assessed through inter-coder agreement coefficient. Data were analyzed using coding method.

The results indicated that for identifying the antecedents and consequences of health leadership in the hospitals of Lorestan University of Medical Sciences, there are four overarching themes (health leadership, health leadership mechanisms, antecedents of health leadership, and consequences of health leadership) and 22 organizing themes.

The findings of the research provide an opportunity to respond to well-beingand as a part of identifying significant prominent themes in human capital, particularly aiding and supporting management in reducing turnover and relocation for the health of employees.