Journal of Innovation Management and Organizational Behavior
Volume:4 Issue: 1, Spring 2024

The main purpose of the current research is to designing and presenting a model for building customer trust in the marketing ecosystem based on blockchain technology and based on the identification and introduction of trust-building elements and functions arising from blockchain technology in marketing actions.

In this study, by adopting a qualitative approach, the researcher seeks to identify the antecedents and consequences of building customer trust in the marketing ecosystem based on blockchain technology. In this regard, the required data were collected based on the opinions of experts in the field of digital marketing and advanced information technology and semi-structured interview tools and were analyzed based on thematic analysis method and the use of MaxQDA software.

The analysis of the collected data in the research resulted in the extraction of 64 main themes with a frequency of 264 codes which after the final categories, these themes provided seven general antecedents and two general consequences of applying blockchain technology in order to build trust among customers of a marketing ecosystem.

Therefore, in this context, it is possible to design a mechanism to paying commissions to agents and brokers in case of implementing this technology.

The primary objective of this research is to identify and prioritize the components of business intelligence within subsidiaries of the National Bank by employing the fuzzy TOPSIS technique. This endeavor aims to establish a foundation for presenting a scientific approach to enhance business intelligence capabilities.

This study adopts a mixed-methods approach, initially gathering qualitative data through semi-structured interviews with senior managers from the bank's subsidiaries, followed by quantitative data collection using questionnaires. The fuzzy TOPSIS method was employed to handle the inherent ambiguity and uncertainty in the data, with linguistic variables used to represent the acceptability of each business intelligence component.

Final model was including the dimensions of technical factors (components of information tools, characteristics of information and data, and analysis), business factors (components of stakeholders, economic and financial factors, and customer orientation), and intangible factors (including components of human capital and organizational capital) and 27 indicators. Subsequently, the identified components were ranked using the fuzzy TOPSIS technique, ultimately selecting "information confidentiality", "data reliability", and "high profit margin" as the most important indicators.

It can be concluded that the dimensions of innovation in online advertising and its implications in digital marketing are interpretable, and legal supports for innovation in online advertising through the enforcement of laws, enactment and amendment of specific laws and regulations for digital marketing, removal of legal barriers to investment, revenue generation, and clarification of legal ambiguities and definitions in digital marketing are effective.

The present research aims to design an e-learning model for health tourism marketing in the educational healthcare centers of the Islamic Azad University in Tehran.

The research method is applied in terms of its objective and qualitative regarding its data. The population included management experts with specialized doctoral degrees, heads of educational healthcare centers of the Islamic Azad University, and their liaisons. The sampling was purposeful and snowball, selecting 14 experts until theoretical saturation was achieved.

The findings indicate eight dimensions along with 47 components for the proposed model. The identified dimensions (components) include: Strategies (national and macro, regional and international), Infrastructure (scientific interactions, cultural interactions, political interactions, economic interactions, legal and ethical, research and education, management, organization, technology, support, monitoring, and coordination), Contextual Factors (political ideology, cultural ideology, economic ideology, security, and welfare facilities), Resources (financial resources, human resources, content resources, and natural tourism resources of the country), Education (clinical training, continuous education, health education, organizational education), Processes (needs assessment, design, implementation, evaluation, feedback, and corrective program), Communication Literacy Level (communication technology, intercultural communication, advertising, organizational communication, public relations, international relations, and tourist rights), and Ideation (being a pioneer, opportunity seeking, risk-taking, leveraging resources, customer orientation, value creation, and innovation).

These results and the presented model can significantly assist in creating e-learning for health tourism marketing by the educational healthcare centers of the Islamic Azad University in Tehran. Therefore, the use of these results is recommended to the stakeholders and beneficiaries in this field.

Talent management can be regarded as a tool to assist managers in formulating strategic plans and developing human resources. The purpose of this research is to investigate the effective indicators on talent management through meta-analysis.

This research is applied in purpose, descriptive in type, and quantitative in nature. The current study aims to quantitatively integrate the results of research conducted in the field of talent management using the CMA2 software (Comprehensive Meta-Analysis).

Searching through various databases, out of 416 articles, 156 articles were selected based on predetermined criteria and examined. The analysis results showed that the highest effect size among the indicators affecting talent management includes alignment and retention of talents (0.595), talent pool (0.577), flexibility in recruitment and retention processes (0.556), organizational policies (0.585), structured talent selection/identification of key roles (0.542), and succession development (0.521).

The research results indicate that the effective indicators on talent management include alignment and retention of talents, technological advancements, strategic planning, competition in the job market, merit placement, talent pool, legal and regulatory factors, flexibility in recruitment and retention processes, work-life balance, compensation systems, organizational policies, knowledge management, career development path management, talent development and enhancement, governing management structure, succession development, opportunity creation, organizational culture, needs assessment, structured talent selection/identification of key roles, diversity and inclusion, organizational reputation and credibility, human capital welfare, and work arrangements.

The aim of this study was to identify and prioritize new financial provision methods to increase the speed and transparency of financial reporting in private banks in Iran.

The current research method is quantitative and survey-based. The study comprises two populations. The first population consists of 95 banking and economic managers, and the second population includes 30 academic professors with master's and doctoral degrees in accounting, financial management, and information technology. Due to the small size of the first population, census sampling was employed, and for the second population, judgmental sampling with 25 participants was used. Data were collected through a researcher-made questionnaire and a pairwise comparison questionnaire.

The findings of the study revealed that all considered variables, including payment technology, financial management technology, money transfer/remittance technology, international money transfer technology, insurtech technology, lending and crowdfunding technology, and capital market technology, are effective in enhancing the speed and transparency of financial reporting. Moreover, the findings indicated that money transfer technology, insurtech technology, international money transfer technology, capital market technology, financial management technology, lending and crowdfunding technology, and payment technology, in order of importance, have the highest significance in increasing the speed and transparency of financial reporting.

Financial system planners can focus on prioritizing new methods of financial provision to enhance the speed and transparency of financial reporting.

The aim of this research is to present a digital transformation model for customer experience in insurance products in the insurance industry.

The present study is considered to be fundamental-applied research in terms of purpose and survey-based in terms of data collection method. The statistical population of the study included all experts in the insurance industry at Asmari Insurance, who were purposefully selected to theoretical saturation, consisting of 179 individuals for the quantitative section and 15 experts from Asmari Insurance for the qualitative section. Data collection was conducted using thematic analysis and interview tools. For data analysis, qualitative data were analyzed using interview and manual coding, while quantitative data utilized the structural equation modeling approach and Smart PLS3.3 software, including confirmatory factor analysis tests.

The research results indicate that in the qualitative section, 2 dimensions including access and awareness, and personalization, along with 12 components in the digital transformation of customer experience for insurance products were identified. After conducting the structural model test and overall fit, the desired pattern was confirmed.

It can be concluded that the digital transformation model for customer experience in insurance products has a good fit, and this model can be used in marketing to provide better services to customers.

This study aims to identify the critical components and strategies that can enhance the effectiveness of content marketing efforts, thereby improving market share and customer engagement.

This study adopts a qualitative research approach, utilizing grounded theory to construct a process model for content marketing. It involves semi-structured interviews with a purposively selected group of 15 experts, including academic scholars and banking industry professionals, to ensure a deep understanding of the subject matter. The data analysis proceeded through open, axial, and selective coding, leading to the identification of main categories, axial categories, and concepts.

The research identifies several main categories critical for the successful implementation of content marketing in the banking sector. These include business understanding and planning, creation of a content management and strategy unit, setting content marketing goals, understanding audiences, identifying audience needs, determining content idea and theme, content production management, content publication management, managing expectations and customer experience, and feedback collection and process improvement. Each category encompasses various sub-categories and concepts, outlining a detailed framework for effective content marketing strategies.

The study concludes that a structured approach to content marketing, encompassing a thorough understanding of business objectives, audience needs, and the strategic planning of content creation and distribution, is crucial for enhancing the banking industry's market share and customer satisfaction. The proposed model offers a comprehensive guideline for banks to refine their content marketing efforts, suggesting that a focus on audience engagement, content relevancy, and continuous improvement based on feedback can significantly impact marketing success. The findings imply that adopting this model can help banks achieve a competitive edge through targeted, effective content marketing strategies.

The aim of the present research was practical in terms of its objectives and descriptive-survey in terms of its data collection method, utilizing an Interpretive Structural Modeling (ISM) approach.

The participants of this study were 15 managers, policymakers, and water sector experts, who were purposefully invited to participate in this research. The tool used in this investigation was a closed-response questionnaire in a matrix format. The criterion for expertise at this stage was the respondent's professional legitimacy.

The results of implementing the research model indicate that the most important components of the study include legal and regulatory environment factors, economic environment, cultural environment, conflict of interest management, culture building, participation drivers, trust, political strategies, crisis management necessity, constructive institutional interaction, motivation, communication factors, governmental actions, reform and adaptation, facilitative leadership, decision-making stability, financial support, guarantee of sustainable development, control of marginalization, attention to local capacities, appropriate water pricing, promotion of public monitoring, improvement of agricultural water use efficiency, consumption pattern improvement, and legal support.

Therefore, issues such as economy and budgeting, healthcare, welfare and social security, education, energy, environmental damage, foreign policy, and national internal security, as well as threats to occupational and job security, or matters like insufficient access to healthcare services should be examined by the government, the private sector, and the commitment of individuals and companies, or a combination of both.

The key to success in launching a startup is a brand-centric approach that combines brand leadership strategy with innovative, targeted, and cost-effective business methods. In a brand-centric approach, all company processes revolve around developing a brand identity in continuous interaction with the customer, with the goal of creating long-term competitive advantages for the brand. The aim of this research is to examine the impact of entrepreneurship-based branding on the performance of startups. For this purpose, 52 managers or representatives of startups in the public services sector were considered as the statistical population, and due to the small size of the population, no sampling was done, and all 52 individuals were studied. The research data were collected using a researcher-made questionnaire. The results indicate that entrepreneurship-based branding has a positive and significant impact on the performance of startups. Among these, the causal conditions of branding with a statistic of 26.719 have a positive and significant impact on entrepreneurial branding; entrepreneurial branding with a statistic of 4.873 on value-based brand positioning; value-based positioning with a statistic of 29.960 on the performance of startups.

The purpose of this research is to validate the customer experience model of Iran Telecommunication Company in commercial sales towards their retention.

This study was applied in objective and quantitative in execution with a structural modeling approach. The population in this part of the research included all commercial sales customers of the Telecommunications of Qom province, numbering 1700 individuals. The sample size was determined to be 315 individuals using Morgan's table and was selected through convenience sampling. The research instrument was a researcher-made questionnaire. The questionnaire's questions and statements were developedusing the research literature, theoretical foundations, and the results of the qualitative study, whose face and content validity was confirmed by experts, and its reliability was obtained with a Cronbach's alpha method of 0.961. The data were analyzed using the structural equation modeling method in SMART PLS software.

The findings of this research showed that the evolutionary organizational structural model has 19 sub-components within seven prerequisite components of customer experience management, measurement and analysis of customer experiences, service experience, value creation, marketing mix, brand image, and support activities, all of which fit well and all variables obtained can be considered in designing the final model. The effectiveness of each variable was discussed and analyzed in terms of their existence. The results indicated that the prerequisites of customer experience management, measurement and analysis of customer experiences, service experience, value creation, marketing mix, brand image, and support activities were significant in the research model.

The results showed that the customer experience model of Iran Telecommunication Company in commercial sales towards their retention is valid.

The theory of good governance is among the newest topics in development in the contemporary world, and the university system, like other political systems, requires a deep and extensive understanding of the factors, components, and characteristics that make it more efficient and effective. The main goal of this research is to present a model of good governance within the university system.

Using a meta-synthesis tool with the seven-step Sandelowski and Barroso method, a systematic evaluation and analysis of 317 instances from past research findings were conducted, which, after the monitoring phases, were narrowed down to 50 relevant articles. At the end, the opinions of 11 experts and university managers were collected through a questionnaire method, and the impact coefficient of the identified factors was determined using Shannon's entropy method based on the content analysis approach.

According to this research, five main dimensions were identified, including adherence to the law, government performance, participation, leadership, and vision. The adherence to the law dimension includes components (corruption control, transparency, political stability, quality of laws, and justice); the government performance dimension from components (accountability, effectiveness and efficiency, planning); the participation dimension from the component (public participation in decision-making); the leadership dimension from components (empowerment and innovative development, leadership duties, and responsibility); and the vision dimension from the component (determining political and economic goals and ideals). Results showed that the transparency component had the most significant impact among the research components.

Good governance must, in the first place, enact very fair and progressive laws, and all country's institutions and organizations must follow the law and provide the necessary support for adherence to it, and create the necessary conditions for public participation in governance and utilize experts and opinion leaders for vision designing.

With the entry of the digital generation (a generation born and raised in the presence of technology) into universities, which demands a different method and style of learning from the past generation, the higher education system is compelled to move towards creating educational infrastructures that meet the needs of this generation. The current research aims to identify the components of a native model for electronic evaluation systems based on the capabilities and facilities available in our country's higher education system, specifically at the Islamic Azad University of Iran.

The research approach is qualitative, utilizing a research synthesis strategy. The research population includes all printed and digital documents in our country's information resources, of which 16 documents were selected based on defined criteria and by purposive sampling until data saturation was reached.

The analysis of the collected data was conducted using thematic analysis, resulting in the extraction of 10 categories and 59 components for creating a native electronic evaluation system that can be used as a guide in educational settings.

Based on this research, it is possible to evaluate electronic learning courses in the evaluation section.

Nowadays, an effective management system in government organizations leads to vibrant life and the growth and development of the country. To benefit from such a system, competent and suitable managers must exist within the organization's lifecycle, and in their absence, the organization should have access to alternative human resources. The purpose of this study is to investigate the barriers to implementing succession planning in government organizations using a structural interpretive approach.

This research is practical and falls within the category of descriptive surveys. Data analysis is performed using a structural interpretive approach, specifically the cross-impact matrix multiplication method, with the help of MICMAC software.

The findings include 84 indicators or variables that have been identified and categorized into 14 categories across seven levels as barriers to implementing succession planning. The research also shows that legal barriers are the most significant, while individual barriers are the most impacted by other influential factors in implementing succession planning.

Based on the research findings regarding human resources barriers, it is recommended that managers focus on identifying and nurturing internal talents, paying sufficient attention to talent management, and understanding the importance of planning for optimal talent management

The purpose of this research was to present a model of organizational citizenship behavior in the education sector of Babylonia Province, based on discourse theory.

This study is applied in nature and qualitative in methodology. The sample consisted of 12 experts including managers and employees from the Babylonia education sector. The qualitative analysis involved interviews, open coding, selective coding, and axial coding to extract themes and concepts. The result of this phase identified 16 axial codes and 87 open codes, with a frequency of 210 instances. These factors derived from the interviews were then explained through discourse theory and examinedat three levels.

The findings from discourse theory revealed that for some employees, organizational citizenship behavior is viewed almost as a taboo, seen as a means to enhance further activity but perceived negatively. For others, it is considered a natural part of any organization, and finally, some other employees see organizational citizenship behavior as an organizational necessity, which, when increasingly supported by managers, becomes a widespread practice.

The more the organizational environment is friendly, the easier it will be to exhibit organizational citizenship behavior, and the existence of a culture of collaboration and togetherness will facilitate this type of behavior.

Workforce diversity is an essential phenomenon in organizations. Statistics indicate a growing diversity among the workforce in Iran, particularly in terms of ethnic diversity. This study aims to examine work diversity through systematic review with an emphasis on Iranian Organizations.

This study employs the PRISMA method to review articles published on the management of diversity in organizations. Of the 140 identified Iranian and international articles, 59 relevant articles were selected. Most articles focus on gender diversity, and other causes of diversity, especially ethnic diversity, have received limited critical studies. Additionally, only a few articles address diversity management and its strategies in organizations, which represents a research gap.

The research findings explored workforce diversity in four categories: the importance of diversity management; diversity management and communication; diversity management and organizational justice; diversity management and workforce productivity.

The literature review demonstrated that workforce diversity is considered inevitable not only due to its positive organizational outcomes but also because of legal and ethical requirements in our contemporary world. Furthermore, it can be argued that the performance of diversity management at the organizational level has been overlooked. Notably, most researchers in the United States and Western European countries adopt quantitative approaches, highlighting the significance of qualitative approaches.

This study aimed to evaluate the decision-making styles of Sproles and Kendall among online buyers of the Kowsar Isfahan store. The main question of this research was to determine the priority and importance of Sproles and Kendall decision-making styles among the online buyers of this store.

The primary tool for data collection was electronic questionnaires on the internet with 35 items, designed and distributed based on a 7-point Likert scale, and data were collected accordingly. The statistical sample of this research included 251 individuals from the statistical community. In the data analysis phase, confirmatory factor analysis was used to extract latent variables.

According to the results of this research, the online buying decision process involves six styles: perfectionism and sensitivity to quality, sensitivity to brand name, sensitivity to fashion, hedonism, confusion due to many options, and habitualness.

Among these styles, the decision-making style of perfectionism and sensitivity to quality was the dominant decision-making style of online buyers at the Kowsar Isfahan store.

The purpose of the current research was to explore the future of the sports industry through an economic lens in 2031.

This study was applied in purpose and survey in method. The population of this research consisted of all experts in the sports industry, from whom 16 experts were sampled using purposive and snowball sampling methods. To collect data, semi-structured and in-depth interviews were employed. Initially, the researcher reviewed literature and theoretical foundations related to the sports industry. Then, semi-structured interviews were conducted with experts to identify influencing factors (16 interviews were conducted until data saturation was achieved). For analyzing mutual effects, a matrix questionnaire constructed by the researcher based on qualitative findings was used. For data processing, the Delphi technique was utilized in the first part of the study, and in the second part, the analysis of mutual effects was conducted using the Micmac software.

Variables such as government financial sustainability, political stability, and human resource development were identified as influencing variables. Economic diplomacy, technology growth, management strategies, sports commerce, economic structural reform, investment networking, and exports were recognized as influenced variables. Economic security was seen as a dual-aspect variable and finally, variables such as hosting international events, legal and regulatory factors, economic infrastructure, competitiveness, media growth, and social networking were identified as independent variables.

In this context, actions such as the development of economic sectors capable of creating jobs and promoting entrepreneurship, pricing of sports industry products, formulation of production indices, commitment to a resistance economy, listing sports clubs on the stock exchange, and combating economic corruption in sports must be prioritized by managers to assist the economy of the sports industry.

The aim of this research is to identify the factors affecting the performance of the LARG supply chain using qualitative methods in poultry farming in Gilan Province.

This research adopts a qualitative approach and utilizes the grounded theory method. Data were collected through semi-structured in-depth interviews. Twenty experts and specialists, including university faculty members and managers with at least 15 years of experience in management, were selected through purposive sampling and the snowball technique. The validity of this research was examined and confirmed by the interviewees and subsequently by specialized professors. To assess reliability, the test-retest method was employed. The reliability of the interviews conducted in this study was 84%, and since this value is above 60%, the reliability of the coding is confirmed. Data were analyzed using the constant comparative method in three stages: open coding, axial coding, and selective coding. The qualitative findings were analyzed using MAXQDA software, and ultimately, the paradigmatic model of the supply chain was explained.

The model's goodness-of-fit indices indicated a satisfactory fit of the data with the conceptual model, meaning that the quantitative data were in good agreement with the conceptual model of the research and supported the qualitative data.

The study revealed that several key factors, including customer relationship management, service delivery management, information management, employee management, financial management, capacity and resources management, pollution management, ethical management, economic factors, social factors, technological environment, political environment, and laws and policies significantly influence the supply chain performance.