metasynthesis

The present study was conducted to present organizational governance in the banking system. This study is applied in terms of purpose, fundamental-exploratory in terms of approach, and qualitative in terms of type. The statistical population of this study was a group of experts including university professors, senior bank managers, and experienced consultants in the field of governance. In this study, purposive sampling was used, and on this basis, 15 experts were selected and participated in the qualitative phase. In this study, the document review tool (scientific articles) as well as researcher-made questionnaires (to implement the Delphi method) were used to collect the required data. Finally, after going through the stages of meta-synthesis and the Delphi method, the organizational governance model in the banking system was designed in the form of six main dimensions (market orientation, organizational leadership, structuring, transfer of organizational knowledge and experiences, communications, and ethics) and fourteen components

The growing interest in governance in society requires understanding and improving the methods of acquiring knowledge in the governance discipline. This research was organized to examine the methodology of Ph.D. dissertations on the subject of governance. In terms of purpose, this research is applied, and in terms of the nature of data and method of analysis, it is among qualitative research. In this research, research data has been collected and analyzed using meta-synthesis (Sandolski and Barroso's seven-step method). In this research, the registration unit is dissertations  and the unit of analysis is the clause. 425 dissertations  were selected as the statistical population from valid databases and were selected by targeted sampling method, screening and 40 documents (as research samples) for analysis. MAXQDA 2020 software was used to analyze the content of the documents. Based on the results, the methodology used in many research is the qualitative method. Most of these researches have been applied, they have used the library method and interviews to collect data and to select the statistical population, experts have been used, and they have used a targeted non-random method to select the statistical sample. The examined treatises mainly used the thematic analysis method as a research strategy and re-interview method for validation. According to this research, it is recommended to conduct research in non-economic areas focused on the real issues of governance in the country, to pay attention to the country's native context in governance studies and methodology, and to include governance research in research budgets.

Employee turnover is one of the most important challenges of organizations, which neglecting it can bring a lot of costs to the organization. An important part of the factors that influence the act of leaving the service of employees are known as factors that form the intention or intent to leave the service in employees, which can be called as antecedent factors. The aim of this study is to systematically conceptualize employee turnover with an emphasis on antecedent factors using metacomposite method. In this study, 175 studies that investigated the factors of employees leaving the service were identified and analyzed. The findings of this study showed that the antecedent factors of employees leaving the service can be placed in three general categories: a) Individual factors: including demographic factors of employees; mental and psychological capital; Career Success; b) job factors: including job satisfaction; Organizational Commitment; Quality of working life; c) organizational factors (internal and external): including macroeconomic factors; work experience in the organization; work-family relations; Organizational support; Organizational justice and finally communication with the manager. These factors can directly (such as the quality of work life) or indirectly (such as lack of job satisfaction) affect the act of leaving the service of employees. This study emphasizes the importance of paying attention to the antecedent factors of employees leaving the service. Managers and organizations can prevent the actual leaving of employees by identifying and eliminating the factors that lead to leaving the service and save themselves from serious challenges in the future.

The characteristics of today's businesses have led managers to pay attention to their business from ecosystem point of view and this attention is increasing. Considering businesses from the business ecosystem point of view will lead to significant differences in comparison to considering a specific business and will transform analyses and actions from the individual level to the collective level. However, the prerequisite for any analysis or action in the field of ecosystems is to identify the characteristics of ecosystems. In order to specify the characteristics of business ecosystems and using Metasynthesis, published articles in four databases and specifically four reputable journals are reviewed and after evaluating and screening the articles, 54 articles are selected and carefully studied and the information obtained are combined and interpreted. According to the Metasynthesis results, the characteristics of ecosystems can be classified into five main characteristics including Structural Characteristics, Interactive Characteristics, Evolutionary Characteristics, Social Characteristics and Governance Characteristics that every characteristic includes sub-characteristics and concepts and all together make the framework of business ecosystems’ characteristics. These characteristics affect all dimensions of an ecosystem and comprehensive knowledge about them is a valuable guide for any research or action in ecosystems.

During the last years, the emergence of new technologies and the creation of great changes in global markets have made it more necessary to pay attention to technology and project portfolio management.

With the aim of analyzing the factors and components of the portfolio management of health R&D projects.Research

The research is applied in terms of purpose, which was conducted with the qualitative method of Sandusky and Barroso's seven-stage Metasynthesis model. The statistical population is all studies conducted in Iranian articles from 1393 to 1400 and foreign articles from 1998 to 2022, previous researches, databases.

In this regard, 260 researches in the field of the subject were evaluated and finally 60 articles were selected purposefully and by analyzing the content and combining the relevant literature with open, central and selective coding methods, a total of 100 open codes, 19 central codes, 14 The key category was selected and analyzed during the systematic search and combination process, and its validity was confirmed through Kaufman's kappa test.

key categories identified include; Financial management, intellectual capital management, technology management, IT management, R&D management, strategic management, project portfolio management, healthcare services management, health information technology management, quality management, political factors, cultural factors, economic factors and The legal factors were categorized into three categories: main, contextual, and environmental factors, and finally, after going through the seven stages of the research, the portfolio management model of R&D projects in the field of health services based on information technology was formulated.

Universities and higher education institutions have knowledge workers who carry knowledge Therefore, the identification of the factors that make knowledge-oriented human resources last in universities was defined as the goal of the present research. Based on the purpose, the research is applied research, based on the nature, is descriptive research. The statistical community of administrators and faculty members of Imam Javad University numbering 21 people, was defined as experts in the qualitative part of the research, . Metasynthesis and content analysis methods were used to analyze the data of the qualitative part, . using the method of text content analysis , 55 effective indicators on the durability of knowledge human resources were extracted. during the interview , 37 components were identified, and in the axial coding phase, using MAXQDA software, one component was considered for each category of conceptual codes, and finally 11 components were identified. became. In the selective coding stage, based on the components, 30 sub-categories and 11 main categories were extracted. The results of the research show that among the identified components, the work-life balance component, which has been conducted in similar researches, has received less attention, which may be due to the special conditions of the university. Also, the results showed that due to the young and well-educated academic staff, several important indicators such as a sincere work environment, flexible work and an active and dynamic environment express the quality of work life in people's decisions to stay in the Imam Javad university is very influential.

The maturity of business intelligence is a result of the evolution and advancement of technology and management approaches that help to provide accurate information, predictive analyzes and improve decisions in organizations using advanced technologies such as artificial intelligence and data analysis. Despite technological maturity that improves the efficiency and performance of organizations over time, business intelligence is far from becoming a mainstream trend in organizations. According to numerous researches in the field of business intelligence, the aim of this research was to present the framework of factors affecting the maturity of business intelligence using a meta-composite approach. In order to reach a comprehensive framework that includes all the maturity factors of business intelligence, 221 scientific studies were reviewed. Relevant codes were extracted using content analysis in metacomposite method. The categories were leveled using the comprehensive interpretive structural modeling method and the most influential ones were determined. The findings show that a total of 93 codes were extracted and divided into 6 categories. These categories include organization and management factors, environment, technology infrastructure, human resources - knowledge, data management and data analysis. The categories of technology infrastructure, data management and data analysis were placed at level three and have the greatest impact on the maturity of business intelligence.

Impulse buying is one of the new marketing concepts that refer to buying based on excitement, pleasure, without prior planning, risk understanding and paying attention to the consequences (ahmad & waiq, 2013). The purpose of this research is to design a process model of consumer impulse buying behavior, including identifying the characteristics, factors and benefits of impulse buying behavior through a mixed method .In the qualitative part, by using meta synthesis method , dimensions and components of impulse buying behavior characteristics, its factors and benefits were extracted and the initial research model was designed. In the quantitative part, the model obtained in the qualitative part and research hypotheses were tested with the help of confirmatory factor analysis. 80 people were selected via Cochran's formula, as a sample from among the sellers and marketers of convenience stores in Mazandaran and East Azerbaijan provinces. In the qualitative section, the selected codes were entered into the MaxQda software for encoding. Totally, after the integration, 26 distinct concepts were identified.Theoretical validity was used to measure validity and Cohen's kappa index was used to measure reliability.The coefficient of 0.779 was obtained at the significance level of 0.000 and its significance was confirmed. Among the obtained dimensions, demographic factors (with 4 sub-themes) and psychological factors(with5sub-themes)as effective factors on impulse buying (with7 characteristics) and experiential benefits (with 3 sub-themes), psychological benefits (with 4 The sub-theme (and technical benefits) with 3 sub-themes) was effective as impulse buying benefits. At the end, suggestions for businesses and marketers were presented.

Today, the concept of openness has spread in organizations and organizations have shown a special interest in open approaches, among which open strategy is also part of the broad social trend and tendency towards greater openness. Open strategy is a multifaceted phenomenon that is evolving rapidly and requires more knowledge. In this article, an attempt is made to examine the concept of open strategy in a more detailed way with the help of meta-combined qualitative research method. Finally, 38 articles in the period 1990 to 2020 with the focus on open strategy were selected and analyzed qualitatively by reviewing the Scopus database. In this research, the most important definitions presented in this field are identified and then according to the multiplicity of definitions, characteristics and approaches used with a more general look at the typology of introducing open strategy. The results show that the methods of identifying and defining open strategy can be divided into 5 categories: philosophical, dimensional, scope of application, process and level of analysis. From the point of view of philosophical foundations, the open strategy approach is mainly subjective and in the postmodern paradigm. From a dimensional point of view, it has two main dimensions of transparency and comprehensiveness, each of which has sub-dimensions. The range of different applications of this phenomenon is known in the form of eight approaches. From a process point of view, it has three important typologies and from the level of analysis, it is known in two ways: number or type. The details and characteristics of these 5 categories are mentioned in detail in the article. It is worth noting that the dynamic and effective nature of open strategy and different ways of looking at this area, suggests that researchers should make more efforts to better understand this new phenomenon.

The tourism ecosystem is recognized as a factor of economic prosperity and environmental protection, and a sustainable tourism ecosystem ensures the equitable distribution of opportunities for future generations. The present study aimed to identify the factors affecting the sustainable tourism ecosystems using a Meta Synthesis approach. In this study, 39 studies related to the subject have been extracted from various scientific databases since 1994-2020, which have been examined using the seven-step model of Sandelowski and Barroso. By analyzing their content, the relevant concepts and categories were extracted and the importance and priority of the concepts were determined using the Shannon entropy method. The categories of human capital education, culture, personal characteristics, networking and markets, investment and financing, legislation and policies and infrastructure are the most important factors affecting the sustainable tourism ecosystems, respectively.

Privatization in line with the implementation of Article 44 of the Constitution is an important issue that is greatly affected by the economic situation of the country and has been the subject of much research. There are two issues in this regard: privatization first and secondly the quality of its implementation. As noted below, there has been no significant success in either country. In this study, a detailed review of past research on the barriers to the implementation of the rule of law as well as the barriers to the proper implementation of privatization was carried out using the Hybrid Synthesis or Metacentrism method. The results of the research showed that the economic structure of the country as the first and effective factor and the executive function of the government as the second factor are the barriers to privatization in Iran. Other influential factors obtained by metacentrism include laws and regulations, organizational structure of the outsourced companies, socio-psychological factors, financial and accounting factors, and motivational factors.

In Iran, E-government foresight project hasn’t been done yet, and we couldn’t find a specific model for it in the world. The aim of this research is presenting an e-government foresight framework based on comparative analysis and benchmarkingin the world.
having reviewed the related literature, 18 e-government foresight projects were identified all around the world among which 8 indicators were extracted. They include Methods, Project territory, Sponsors, Participants, Project Objectives, Influential factors, Uncertainties, and Outputs and Outcomes. Shannon entropy was used to determine these indicators among the pervious related literature.
The results showed that the best indicators for e-government foresight project are: time horizon for less than 10 years, Project territory: national, and the government as the important sponsor, participants: between 51 to 200 people. To do so, Expert Panel, Scenario Writing and Roadmap are considered as the suitable methods Cultural-Social factors are claimed to be the most important factors, and designing scenarios and providing vision are the most important Outputs.
At the end, some suggestions are presented for e-government foresight project that address policy makers and planners in Iran. The implementation of e-government projects requires a futuristic plan based on stakeholder consensus. In order to implement this project, the experiences of other countries are discussed in this paper can be used as guidelines for policymakers and planners in Iran.

Humility-based leadership is a style which is based on virtue. A virtue that is deeply rooted in the beliefs and basic assumptions of staffs. Theoretical development and empirical findings about this subject is very poor. The traces of recent organizational scandals have been blamed on arrogance, sense of selfishness and self-righteousness of the managers. Virtues such as humility have faced with an incresingly interest in organizational studies. The aim of this study is to provide a conceptual model of components, requirements and outcomes of humility-based leadership. THEORETICAL FRAMEWORK: Humility-based leadership is a style which is based on virtue. It is a penetrating feature that allows a person to fit and even prevail in a particular society. Humility has been defined as possessing a multi-dimensional construct, which includes the passion for self-assessment (i.e., self-awareness and recognition of constraints), orientation and tendency to others (againest self-centred), interpersonal acceptance, the ability to regulate the emotions of others, and confirmation and appreciation of the value of creatures. Humble leadership is recognized as the acknowledgment of individuals’ limitations, highlighting the strengths of others and readiness to learn from models. Here it is assumed that this set of behaviors helps to reduce the social distance between leaders and followers through the promotion of bilateral exchange relations. Initially, with the acknowledgment of individual limitations, a leader will be able to stay close to the subordinates. The philosophy of research is interpretive, its approach is meta-synthesis and its strategy is grounded-theory, which is carried out qualitatively and through data collection using the instrument of documentation. Meta synthesis is qualitative analysis of concepts in previous studies using the common coding method in qualitative research and qualitative strategies such as grounded theory. Analysis have shown that the main phenomenon (humility-based leadership) consists of four components: self-awareness, coaching, mentoring, and teachability. The first component of the definition of humility is the desire to engage enthusiastically in an influential process called self-awareness. In case of the second component, theorists have recently suggested that modesty is a driving force for credible service and leadership. The third essential component of humility is the ability to learn (experiential, responsive). As humility is rooted in development tendencies, this component also has implicit beliefs about the utility of learning and its potential for self-development. CONCLUSIONS & SUGGESTIONS: For further research, future researchers are advised to study the process of forming this leadership style in a variety of quantitative and qualitative ways. Reviewing the personality characteristics of these leaders can also significantly contribute to organizational growth. It is suggested that researchers investigate the impact of this phenomenon on other behavioral structures such as organizational citizenship behavior, organizational vocation, and organizational learning.

There is quite huge annual energy consumption in Iran in household, commercial, and public sectors. In addition, the index of population aging manifests a great increase in recent years. Concurrent to all these, smart houses which are equipped with Internet of Things (IoT) can help us maintain sustainable developments with functionalities such as improvements in energy consumption and health, to name but a few. Accordingly, in this thesis, we aimed to identify the usage and functions of IoT in smart houses. This research is an applied research in nature and it would be classified as qualitative regarding data collection. In order to identify the usages of IoT in smart houses with the help of meta-synthesis approach, we have examined 371 researches among which only 85 have been selected for the final analysis. 122 factors have been extracted based on these 85 researches which have been combined into 7 main usages of “electricity consumption management”, “Heating, ventilation and air conditioning System”, “water consumption control”, “security empowerment for the buildings and the neighborhood”, “health monitoring”, “crisis management”, and home appliance automation.

Demand-driven innovation policy is a relatively new feild of study in the science and technology policy. Demand-driven innovation policy is a set of public measures to boost demand for innovation, improvement of the conditions for perception of innovation or improvement of demand articulation in order to encourage and dissemination of innovation. This article by using of meta-synthesis method seeks to provide a new classification of policy tools introduced in the studies in this field. So, according to meta-synthesis method 252 articles have been found from official academic sites and have been investigated and finally 105 article have been selected to analyse. Anlayse of articles and the meta-synthesis results indicates that the innovation demand-side stimulation tools can be catagorized in three main them from the prespective that which applicant is concerned. This three catagories are: policies that stimulate the government demand (B2G), policies that stimulate the private demand (B2C), and policies that stimulate the large businesses demand (B2B). The analysis of this study show that in the first category, the quantity of the articles and introduced tools is relatively very high. Also in the third category less studies have been done and practical and detailed tools have not been presented .So there is a research gap in third category that needs to research more.