فهرست مطالب fahimeh babalhavaeji

The purpose of the current research is to design a knowledge management system performance evaluation model in the software industry using a neural network. Based on the collected data, a quantitative study was conducted to confirm the findings obtained from the qualitative stage. For exploratory study and extraction of categories related to evaluation factors, the meta-combination method (Sandelowski and Barroso model) was used. The research method in the quantitative part is descriptive survey. The statistical population of the research was made up of all software developers and software experts in universities and companies.

7 main categories including individual factors, organizational factors, technology and infrastructure, functional factors, knowledge management tools, economic factors, knowledge management tools, and 29 sub-categories were identified. The innovation of the research is building a model using neural network algorithms that have the ability to predict the performance evaluation index of the knowledge management system and the impact of each of the indicators using a neural network in the field of software.Conclusion The results obtained from the questionnaire have been used for the input of the network model, the results showed that components such as technology infrastructure factors and functional factors have a greater impact on the evaluation of knowledge management performance in software development.

Literature Review:

in a research, they evaluated the performance of the knowledge management system in Iranian software companies. The results showed that the knowledge management system consists of 4 processes of identifying and creating, recording and maintaining, sharing and applying and internalizing knowledge. In a research, they designed a fuzzy inference system to evaluate the performance of the knowledge management system in the software development industry. The use of neural networks in evaluating the key factors of the knowledge management system in Iranian companies based in Alborz province was investigated. A research modeled an organizational knowledge management system based on artificial intelligence. Fuzzy theory was used to create knowledge extraction mechanism and reference model library from project model to dedicated reference model.

The method used in this research is a mixed research method of exploratory type with a qualitative approach and meta-composite and Delphi methods. In the first stage, the meta-composite method was used to identify the main and sub-categories of the indicators, and then the validation and presentation of the final indicators were done with the fuzzy Delphi method. The current research method is practical in terms of purpose. The sample size was selected by simple random sampling method with Cochran's formula of 186 people. In the meta-combination method of the research, library sources and documents including articles, reliable and referable internet sources, as well as domestic and foreign scientific reports were used. For exploratory study and extraction of categories related to evaluation factors, the meta-combination method (Sandelowski and Barroso model) was used. Factors and dimensions of knowledge management system evaluation for which indicators are considered were provided to 20 members and experts. The implementation of the Delphi panel was carried out in two periods. Fuzzy Delphi method was used to screen and identify the final indicators and to answer the first and second questions of the research regarding the agreement of the experts of the research community regarding the obtained components, which includes software experts and knowledge management experts. 7 main categories including individual factors, organizational factors, technology and infrastructure, functional factors, knowledge management tools, economic factors, and 29 sub-categories were identified.  In order to collect quantitative data, a researcher-made questionnaire (40 items) was used, the items of which were taken from the results of the meta-composite analysis in the first stage. In this research, in order to check the reliability of the research questionnaire, Cronbach's alpha coefficient was estimated at 0.89 for infrastructure factors and 0.88 for functional factors, respectively.

 In this research, the performance of the knowledge management system was evaluated with a neural network approach. Examining the results showed that the following components affect the evaluation of knowledge management performance in the software development industry. 1. Individual factors 2. Economic factors 3. Organizational factors 4. Knowledge management processes 5. Functional factors 6. Technological infrastructure factors 7. Knowledge management tools

Solutions to improve the performance of knowledge management in the software development industry were presented: • Adjust the strategies in such a way that the creation of new knowledge, the application of new knowledge, its dissemination and sharing, and the storage and documentation of knowledge are explicitly considered. • Identifying influential people in the process of implementation and establishment of knowledge management, to improve the effective factors in the effective establishment of knowledge management more than in the past. • Developing procedures for documenting the experiences of experts in the software development industry on a continuous basis. • Managers and practitioners of the software industry should also consider parameters such as available budget, organizational culture, infrastructure, etc. • To provide the relevant managers and practitioners with a criterion for reviewing future policies and investments and help them make more appropriate decisions.

In this research, 29 primary indicators have been identified based on the research literature, which include: • Organizational culture for sharing and using knowledge • Organizational Structure • The physical environment • Organization strategy • Support of senior managers such as motivation and commitment • Supporting innovations and digital technologies • Specialized knowledge of software development • General knowledge in software development • Involvement of developers • Education • Being up-to-date in the fields of specialized software • Knowledge and awareness of the knowledge management system • Correct understanding of system design requirements • Portals and portals of knowledge such as the Internet and email and social networks • MIS, Expert, DSS systems • Data warehouse - knowledge warehouse • Search and recovery tools and dashboard • Data security • The degree of integration of organizational systems • Quality of knowledge • Document management • Data management and workflow • Process Management • Creation and acquisition of knowledge, transfer and sharing of knowledge • Acquisition and use of knowledge • Operating cost of the software • Cost of software support.

All efforts of business managers are to achieve productivity. In such a way that the need to increase productivity in organizations for more profitability is inevitable and every year a lot of money is spent on how to increase productivity and promote their business. One of the important and fundamental prerequisites for achieving a business model is its components and indicators in a standardized format. The changes that have come from the internet space have made knowledge flow and be exploited in a faster way in the departments of an organization. In the meantime the knowledge brokers can help to correct and improve the flow of knowledge and fill the information gap between producers and users of knowledge, thereby helping to increase the productivity of organizations and businesses.

Knowledge brokers provide the act of creating, sharing and using knowledge in an organization or between organizations. One of the ways to correct and improve the flow of knowledge is to use knowledge brokers who fill the gap between producers and knowledge users. The unique possibilities of the Internet have led to the emergence of a new form of business, which is now known as Internet business. These businesses have been created by entrepreneurial people with new ideas who have a creative and talented mind. Osterwalder's business model is known as the most common and broad business model canvas. This model is the provider of a common language for describing, visualizing, evaluating, and changing the business model. Productivity is called a method, a concept and an attitude about work and life, and in fact, they look at it as a culture and a worldview. Productivity is the effective and efficient use of inputs or resources for production by providing outputs. The background check shows that so far, many researches have been done in the field of knowledge brokers and internet businesses and the relationship between business and productivity inside and outside the country. On the other hand, studies show that many researches have been conducted abroad on the role and functions of knowledge brokers. This is despite the fact that none of them have analyzed the components and indicators of the internet business model for knowledge brokers with the approach of increasing productivity.

 The current research is applied in terms of purpose and mixed and exploratory in terms of approach. The research has been done in three stages: to identify the components and indicators of knowledge-based internet business for knowledge brokers using the meta-combination method, to determine the level of agreement of experts using the fuzzy Delphi method, and to determine the importance of each of the components and the calculated indicators were used using the survey-analytical method. In the first stage, the statistical population was 10,617 documents related to the research subject, out of which 65 documents were selected and studied further. In the second stage, in order to confirm the components and indicators calculated from the first stage, the fuzzy Delphi method and a questionnaire (with a 5-point Likert scale) were used in two stages. The statistical population in the second stage was 20 PhD graduates and subject specialists with more than 5 years of experience in the fields of knowledge management, technology management, and business. The snowball method was chosen and 10 of them responded to the questionnaire. In the third stage, in order to determine the priority and importance of the calculated components and indicators, a survey-analytical method was used. The statistical population of the research in the third stage was the number of 155 technology and knowledge brokers under the supervision of the Presidential Vice President for Science and Technology, Iran's National Fan Market and the Nano Technology Exchange Network, who were selected by census method.

 The results of data analysis show the number of 149 indicators under 30 components for Internet business for knowledge brokers in the form of nine components of Osterwalder's business model.

 The results show that knowledge brokers can create an information network between researchers by holding structured joint workshops in a client-oriented and problem-oriented manner, holding seminars and online webinars, etc., and establishing proper communication between the main customers of their business through virtual communication channels. Since the ultimate goal of designing a business model is to create sufficient value for customers, knowledge brokers can attract and retain their customers by providing value propositions such as facilitating decisions and policies through the acquired knowledge. Considering that every business model requires a number of key activities; knowledge brokers can provide their desired services to customers through key activities such as knowledge monitoring and evaluation, etc. One of the goals of every business and organization is to create partnerships with colleagues and key partners; based on this, knowledge brokers can achieve success in their business by establishing partnerships with influential investors, governmental and non-governmental supporting organizations, and influential governmental and non-governmental social organizations. The cost structure in any business is one of its main pillars and you should pay enough attention to its arrangement. This section usually contains two sections of fixed and variable costs. Knowledge brokers can manage the wages of human resources, administrative costs and provision of workplaces and the costs of providing equipment and depreciation in the fixed costs department and managing the wages of experts and researchers for sharing knowledge. Marketing, advertising and holding events and costs of development and maintenance of technology infrastructure in the variable costs department to achieve cost management in their business. The resources needed to run a successful business are called key resources. At first, it is believed that only the initial capital is enough to start a business, but the fact is that before starting any business, identifying key resources is of particular importance. Value proposition, communication with the customer, communication channels, how to communicate with the customer, making money, are all related to key resources. Knowledge brokers can start and maintain their business through key resources such as human, financial, physical and intellectual resources. In order to obtain profit, expenses must be deducted from income. In a business, if we consider the customer part as its heart, the income streams are the arteries of a business. Knowledge brokers through a variety of income models such as receiving commissions/fees from communicating between users and knowledge producers, advertising and receiving charges or royalties in providing consulting services and pricing mechanisms such as considering a base price for knowledge services, price dynamics based on the level of knowledge used and price dynamics based on advertisements, they can manage their business income flow.

 Since every business needs components and indicators to be implemented in the form of a business model, it shows the architecture of a company to create, market, deliver value and earn a stable and profitable income; statistics of internet business components and indicators for knowledge brokers can help to reduce the information gap between researchers, policymakers and decision-makers, governance structures and institutions and supply and demand sector structures and institutions and lead to an increase in interest and be successful in business.

 Research data management is a set of activities related to the storage, access, and preservation of generated data which includes benefits such as maintaining the integrity and replication of research, increasing data security leading to risk of data loss, and enhancing the implementation of quality research. Acquiring knowledge and skills related to research data management creates many job opportunities for information professionals and helps researchers to fulfill their demands. In this regard, this research aimed to identify the state of research in the field of research data of management literacy.

 The current research was a systematic review with qualitative approach, which is devoted to collecting the studies conducted on a specific subject, examined and revised the resulting information according to certain systematic principles, and presented the results for analysis. More concretely a comprehensive view of related studies and providing researchers with a specific subject area for this purpose, researches related to several stages of searching in international and domestic databases, considering the time range, foreign books and articles between 2012 and 2022 AD and Persian between 1391 and 1401 AD. Fifty works related to the topic of research data of management literacy were searched from research articles of publications, conferences, and dissertations.

 Research data management is one of the emerging branches of science and the main goal of this new field is to help researchers, professors, and students in planning from start to finish. A review of the studies showed that 50 domestic and foreign researchers have addressed the issue of research data of management literacy and related elements. Research has been in 5 main axes, which include: 1. Research data management infrastructure, 2. Research data sharing, 3. Data literacy and research data management literacy, 4. Research data management training. Research, and 5. Research management skills in this field.

 The results of this research showed that research in the field of research data segmentation has been investigated more than other related topics, but the research related to research data management literacy is very limited, especially in Iran. Increasing the level of research data of management literacy requires a lot of effort from universities and higher education institutions. In addition, according to the research conducted outside of Iran, business skills related to research data of management literacy will help people to work harder in advancing the goals of this valuable topic and start to transform the management mechanism. Having their data, they also benefit from teaching and improving students' literacy from the beginning of their studies in the curriculum of different levels.

Today, scientific document centers face increasing demands on data collection, storage, integration, processing, and analysis for information systems and infrastructure. These centers are the most important and reliable sources of governance for the advancement of different areas of each country and their success requires proper performance. The present study was conducted to propose a data governance model in the countries scientific document centers to show how data governance should be appropriate for these scientific centers. The Iranian Research Institute for Information Science and Technology (IranDoc) was selected as the study. This research has analyzed the content of texts in the field of scientific document centers with a meta-combined method. 15 articles and dissertations related to this field were purposefully selected and reviewed by qualitative content analysis. The basic model was used to design the data governance model of scientific document centers. The research findings identified five main components of data governance including "planning", "organizing and managing", "performance", "implementation" and "evaluation". These main components each have sub-components, which finally identified 38 sub-components for data governance of scientific document centers with a combination of texts. These components help to implement data governance for scientific document centers.

To be successful in any organization, it is essential to pay attention to job performance. Various factors affect employees' job performance. This study aimed to identify the critical factors for the success of knowledge management in the banking industry using meta-combination. Since the early 1990s, with the introduction of knowledge as the most important asset of the organization and a tool to improve productivity and gain a competitive advantage, optimal management of organizational knowledge has been very successful. Identifying the critical factors for knowledge management success can serve as a guiding light for knowledge management projects.
The present study adopts a qualitative approach and utilizes the seven-step method combining Sandelowski and Barroso. The research population comprises all sources pertaining to the essential aspects of knowledge management, encompassing 102 articles, books, and dissertations from reputable domestic and international sources published between 2001-2002 and 2000-2020 AD. Subsequently, based on the relevance to the research topic, the primary sources were sifted through, and 102 sources were selected and coded according to the extracted concepts.
In total, based on the results of a systematic review with a hybrid approach, 7 categories (leadership, organizational culture, organizational structure, human resources, training, monitoring-evaluation, and measurement, IT infrastructure), 18 concepts, and 114 codes for 18 extraction concepts were identified as critical factors in the success of knowledge management. To measure reliability and quality control, the kappa method was used. The value of the kappa index for the constituent and vital factors of knowledge management success was calculated, showing excellent agreement.
According to previous studies, the factors related to leadership and support of senior managers, and organizational culture are among the most important factors for success, respectively. Factors such as human resource management, staff motivation issues, organizational structure, training, monitoring and evaluation, and information technology are ranked lower.

The purpose of this research is to provide a training model with knowledge management approach in the National Bank of Iran. Therefore, it is an applied-developmental research that can use in other banks and financial institutions. The quantitative research method is survey-analytical. The statistical population of 1156 people included experts and middle managers of National Bank headquarters in Tehran province. Cochran's formula was used to calculate the sample size, and 288 people were determined and selected by stratified random sampling method. The tool of data collection is a researcher-made questionnaire. For the validity of the questionnaire, face or content validity methods were used, and for reliability, Cronbach's alpha method was used, which was confirmed with an alpha value of 0.9. The data were processed with the help of SPSS26 statistical software and PLS4 structural equation software. To analyze the gap, the non-parametric Wilcoxon test was used to identify the current and desired status of training indicators with the knowledge management approach in National Bank, and also Friedman test was used to determine the priority between categories, and structural equations were used to analyze the confirmatory factor and build the model. According to the findings, there is a significant difference between the average of the current and desired status of the indicators in the target community. Finally, the models were examined in two sections: the current, and the desired status; and a combined model was presented. Based on the results, the managers of National Bank should make extra efforts in all the components of the model, which in the current status have less factor loading than the desired status, in order to implement employee training with knowledge management approach.

The major objective of current research is "Identifying patterns of Information Seeking and Retrieval Behavior based on Expectancy Beliefs among PhD Candidates of Mohaghegh Ardabili University.

The research has been conducted in synthetic method, both quantitative and qualitative. The research method in quantitative part was quasi-experimental, and in terms of qualitative method, content analysis was used. The data, in the quantitative method, has been collected with questionnaire and by observation and semi-structured interview has been chosen for qualitative method. The research population consisted of 48 PhD Candidates who were selected by purposeful sampling the data was collected in two stages of completing demographic characteristics, searching experience and expectancy questionnaires and observing the behavior of completing search tasks and finally textual analysis of the interviewed content

Ph.D. candidates have positive expectation on information search and Retrieval process, and their subjective belief in their ability and success in information search and retrieval is above the average level (3.00). Ph.D. Candidate who expects more of the process of searching and retrieving information use less but related strategies and tactics while those with low expectation use More Strategies and Techniques but unrelated and repetitive, so it takes more time to review the retrieved results.

High expectation leads to a positive subjective perception and judgment of the person about his ability to perform the search task, and low expectation leads to a negative subjective perception and belief of the student about his ability to complete the search task.

Considering the emergence and increasing expansion of various subject domains and the lack of a valid codified thesaurus, the main aim of this study is to provide a semantic model of information security based on a conceptual network for use in domain ontologies, so it is applied research.

The research method is a combination of co-word analysis, library, and Delphi methods. In the first stage, the conceptual network was extracted from 7547 scientific documents on "information security" using the co-words analysis method. These documents were indexed in the Scopus databases and WOS from 2013 to 2017. Pre-processing operations on 19648 keywords and tags were done in a completely targeted manner by using five dictionaries in information security, and three dictionaries in computer science. With a minimum co-occurrence of 5 for each word in "VOS Viewer", 207 preferred concepts were selected based on the latest version of the information security dictionary, and its conceptual network was mapped. By "Gephi", betweenness centrality, density, and clustering coefficient indices were checked. Then in the second stage, for extracting a new semantic model, used the library method. So, seven related semantic models: Security ontology, information security ontology, attack ontology, vulnerability ontology, existence - Ontosec mapping, and threat taxonomy as well as the conceptual model of information systems security in libraries. These entities, classes, subclasses, relationships between them, concepts, and examples attributed to each class and subclass were studied and examined carefully. Then, 207 conceptual network concepts were adapted to the common components of these models, and a new model was presented. Finally, in third stage, using the fuzzy Delphi technique, the consensus of experts in both fields of Knowledge and Information Science (KIS) and Computer Sciences was examined. Using SPSS and Kendall's non-parametric test, the experts' agreement coefficient about the classes and sub-classes, as well as their associated concepts, were investigated. 5 classes, 6 subclasses and also 71 concepts out of 97 common concepts with an agreement coefficient above 0.7 were obtained. Finally, confirmatory factor analysis and Smart PLS structural modeling were used to check the correctness of the relationships governing the classes and subclasses in the conceptual model.

The main nodes and strong links in the conceptual network of information security include: "information security," "security," "information system," "privacy," "telecommunication," "information," "intrusion detection system," "cryptography," "cyber security," "authentication," "network," "risk," "threat," and "risk management framework." The extracted semantic model has a goodness of fitting (GOF) of 0.710 and confirms 11 semantic relationships. These relationships include: "Requires level," "Diminish," "Threatens," "Exploited by," "has Source," "Uses of," "Lead to," "Attack," "Vulnerability on," "Implemented by," and "Reduce." Also, it has 5 main classes, including "Information Asset," "Security Attribution," "Threat," "Vulnerability," and "Countermeasure." There are also 6 subclasses, which include "Threat Source," "Access Path (influence way)," "Threat Tools," and "Attack," all related to the Threat class. Additionally, there are Technological countermeasures and Organizational countermeasures, which are related to the Countermeasure class. Also, it was discovered that there are 71 attributive concepts, some of which include: Password, Smart card, User, Integrity, Hacker, Malicious code, Virus, Distributed Denial Of Service (DDOS), Risk management, Backup, Digital signature, Penetration testing, Antivirus, Firewall, and so on.

The conceptual network and semantic model can be inferred in semantic systems and databases. This research can provide a new method for creating high-level ontologies to optimize search engines and reduce false dropping, as well as recover unwanted information.

This research aimed to identify and evaluate the risks of content production in the governmental digital libraries of Tehran. In terms of essence, this research is synthetic (library studies, qualitative and quantitative), and regarding purpose, it is an applied one.  In the first part, using the studies of the research literature, a set of indicators related to the risks of content production in the governmental libraries of Tehran was obtained. The second part of this research involved a fuzzy Delphi approach that was conducted at two stages among 20 experts. In this stage, a researcher-made questionnaire based on the indicators obtained from the first stage was used. The third part of the research was a survey-analysis conducted with a quantitative method using a questionnaire made out based on the results of qualitative stage with three criteria: the probability of occurrence, effect intensity, and the inability of organization to respond and was distributed among 100 managers and experts of governmental digital libraries in Tehran. In this research, the risks of content production were identified and fell into nine major categories (human force, environmental factors, infrastructure, protection and maintenance,  creators`  technical rights, integration, content evaluation of sources and authors and information security). The results of this evaluation show that digital libraries are not exactly at their best level when it comes to their responses to the risk of human resources, authors' rights, and integration risks.

The most important features of the flourishing Iranian schools of art have been in illustrations for manuscripts, especially the Quran, in different historical periods. The aim of this study is to identify the characteristics and distinction of the Qurans of Shiraz and Herat styles in the Timurid and Safavid periods. As its comprehensive statistics, ten Qurans in the Herat style and Shiraz style from the Timurid period and ten Qurans in the Herat style and Shiraz style from the Safavid period are selected purposefully from the Qurans that are kept in the Museum of the Astan-e Qods Razavi.This research is applied in practical model with the use of the descriptive-comparative method, based on library information collection. From the result of this study, it became clear that some similarities between the features of the manuscripts due to the artistic connection of these styles and cannot be cited in distinguishing their features.The most important recognizable items in Quranic manuscripts include the gilding of the verse Al-Fatihah al-Kitab, the presence or absence of the opening and closing prayers of the Quran, the combination of geometric patterns or geometric and non-geometric patterns, as well as the Islamic and Khatai plan, and the type of inscriptions and signs. Khums and tithes signs, color scheme and the use of colors are the most important features that can help identify the Qurans of these schools.

The purpose is to clarify the current status of archival records arrangement and description process and archival services in the National Archives of Iran, and identify the challenges of the sections.

Method and Research Design: 

Both qualitative and analytical survey were used as the research method. The research was accomplished in two stages. In the first stage, five expert archivists of the National Archives of Iran were interviewed and in the second stage, 21 employees of the National Archives of Iran filled out a questionnaire.

Based on the respondents’ viewpoints, the designed optimal processes in both arrangement and description section and archival services section covered all current processes and no significant differences were found.

New software development models are emerging that help in software development by default. Secure software should be defined based on the fundamental framework of the organization and the fundamental framework of the organization's software, which means that the targeted level of security of various software of an organization depends on the business context and the degree of importance of information in that context. Proper support of the software industry requires a precise and appropriate understanding of the state of this industry as an ecosystem and knowledge of the software product. In addition to having technical complexities, the software industry follows certain economic structures and principles, which are very important in the analysis of the existing support regimes. Without having a secure software production line, the possibility of releasing secure software from this production cycle is impossible. Also, the competitive business environment of organizations depends on the software they have in this field; therefore, considering the level of vulnerabilities, it is reported that in the field of software, the existence of a secure software life cycle, which results in the production and development of secure software, is very necessary (Palumbo et al., 2020). Software companies need to develop knowledge in diverse domains. One of the industries that are very important in the transition from the oil economy due to its great potential in the country, and on the other hand, it realizes a part of the knowledge-based economy, is the software industry, which is struggling with many changes and problems. Due to the intensity of changes in technology and its highly competitive environment, software companies are facing many challenges and uncertainties in providing their products or services in the form of value for customers and also in making money from it. Therefore, it is necessary to provide a suitable solution for software companies to reach their position and the future that can be waiting for them. The present research tries to consider.
What are the factors and performance indicators of the knowledge management system in the software development industry?

Literature Review:

In the research, Wang, Ding, and Ming Li (2017) presented a hybrid method for evaluating knowledge management performance based on triangular fuzzy numbers and group support systems. The results showed that the evaluation method has a strong practical and operational capability, and in addition, the evaluation is activated using a group support system. The systematic KMPE method based on an index system can improve the efficiency of organizations in the performance evaluation process. The review goes under these subheadings.Pojadi and Sardjono (2018) investigated "Evaluation of Knowledge Management System for Disaster Management Using Factor Analysis". The results showed that evaluation models can be built through the performance of agents, organizational culture, and information through the knowledge management system, management support and participation, access and updating, and information monitoring. Fu, Jiang, and Chen (2020) modeled an organizational knowledge management system based on artificial intelligence in a research. The key technologies that need to be solved to achieve knowledge integration were pointed out, including the integration of heterogeneous knowledge distributed between companies, the integration of correlation and the integration of knowledge and production processes. Fuzzy theory was used to create a knowledge extraction mechanism and reference model library from the project model to the dedicated reference model. Finally, a layered diffusion model was developed that matches the characteristics of online knowledge transfer. Greco et al. (2021) in their research examined "a method for evaluating knowledge management systems". The results show that WikiIEN is the solution most indicated for the larger public due to its more user-friendly interface and workflow, and sufficient feature set that does not depend on external software.

This research is applied in terms of purpose, which was done with a documentary method, meta composite. The meta-composite approach is a type of qualitative study that examines the information and findings extracted from other qualitative studies with a similar and related topic. As a result, the desired sample for the meta-combination of selected qualitative studies is based on the relationship made with research questions (Lindgreen, Palmer, and Vanhamme, 2004). In this research, the combination method has been used in order to compare, interpret, transform, and combine different frameworks and models presented in the field of knowledge management system performance evaluation in the software development industry.

The purpose of this research is to provide a suitable conceptual framework for identifying the performance evaluation components of knowledge management system in the software development industry with a meta-composite approach. Due to the lack of comprehensive research in the field of identifying factors affecting the performance of the knowledge management system, the performance evaluation indicators of the knowledge management system were first extracted by extensive literature study and based on the frequency of evaluation indicators. The goal is to cover various dimensions of knowledge management system evaluation with a comprehensive study. Due to budget constraints and the economic era with uncertainty, knowledge management implementers need to be able to demonstrate the commercial value of knowledge distribution and reuse in the organization. There are two basic points that all organizations should consider when designing success measures. Therefore, based on the presented conceptual model, managers can evaluate the performance of knowledge management in the software development industry by using organizational factors, individual factors, technology infrastructure factors, knowledge management processes, and economic benefits/costs.

Based on the presented conceptual model, managers can evaluate the performance of knowledge management in the software development industry by using organizational factors, individual factors, technology infrastructure factors, knowledge management processes, and economic benefits/costs.

Examining the results showed that components such as organizational factors (culture, senior management support, organization strategy, organizational structure), individual factors (training, employee participation, knowledge and awareness of knowledge management systems, resistance to change); technology infrastructure factors (user-friendliness, data and information security, communication and cooperation methods, degree of integration of organizational systems, knowledge quality); knowledge management process (knowledge acquisition, knowledge transfer, knowledge creation); economic benefits/costs (capital cost, operating cost) affect the evaluation of knowledge management performance in the software development industry.

in the modern economy, knowledge is considered as a power and it provides competitive advantage to organizations. This competitive advantage is realized through the full utilization of information and data coupled with the harnessing of people’s skills and ideas as well as their commitments and motivations (Victor & Kathaluwage, 2019; Sekerin et al, 2018). Within the framework of the knowledge economy and the new challenges raised by knowledge in organizations, it is easy to understand the emergence of knowledge management as a new managerial field of activity dealing with knowledge resources, knowledge workers, and knowledge processes. (Bratianu et al, 2021). The ability of an organization to use and leverage the knowledge is heavily dependent on its Human Resources, which are effectively who create, share and use knowledge. The use of knowledge is only possible when individuals can share their knowledge and can generate new, from the knowledge of others. Human Resource Management (HRM) plays a key role in helping achieve the desired organizational results through its possible bearing on employee behaviour and skills. (Antunes & Pinheiro, 2020). without proper training, it is not possible to successfully produce knowledge and share activities and processes (Wai et al, 2012). The main goal of most training programs is to provide knowledge to employees to transfer to the workplace. Knowledge transfer is the main indicator of an effective training program and includes implementation methods, sharing knowledge or relevant practice and improving business performance (Shafloot, 2012). With the evolution of the role of organizational training towards focusing on learning and acquiring, producing and sharing knowledge and the necessity of doing knowledge work by employees and providing ideas from employees to improve services and production (Shokrzadeh et al., 2013). Investing in education should match the knowledge needs of organizations. The vision of knowledge-based training should be clearly understood by all employees and guided by the organization. This requires the organization to have a knowledge-based vision (Psarras, 2007). To improve employee performance, knowledge management strategies should be increased and organizations should adopt different policies to increase their learning ability (HO, 2018). Therefore, if knowledge management and training work closer together, in many organizations, much more success can be achieved (Carlile, 2002). Since the National Bank of Iran, as one of the largest and strongest financial institutions with a long history, tries to achieve its goals more effectively by constantly upgrading and improving its performance, every year the training courses At the same time, it organizes many services for its employees and looks at its human capital as a source to gain a competitive advantage. Therefore, one of the issues faced by managers in these trainings is the effectiveness of training courses. According to the explanations that were presented and emphasizing the importance of knowledge management in employee training to create learning, which is the goal of effective training, therefore this study was conducted with the aim of identifying indicators of human resources training in the National Bank of Iran with knowledge management approach, so from the perspective of the objective, it is a practical study.

Backgrounds show that in most of these researches, they have investigated the relationship between training and knowledge management and the role and impact of these two categories on each other, or only to identify the characteristics and components of employee training, and so far no research has been done which specifically identifies the indicators of human resources training with the knowledge management approach, especially in National Bank of Iran. Due to the importance of determining the indicators in the design of the desired educational model of employees with the approach of knowledge management, this research has been carried out. It is clear that the selection of suitable criteria or indicators can affect the effectiveness of this model. Therefore, the subject of the research is new from this point of view and it is also used in other financial institutions.

The research method was a mixed exploratory type with a qualitative approach and meta-composite and Delphi methods. In the first stage, the meta-combination method according to the seven-step method of Sandelowski and Barroso (2006) was used, and a total of 156 sources related to the research topic were found, and finally 71 studies were analyzed. After identifying the categories by metacombination method, the fuzzy Delphi method was used to identify the final indicators. The Delphi analysis in this research is based on the opinion of 20 experts, including theoretical experts (university professors) and experimental experts (managers of the National Bank of Iran) who had experience in the field of study and were selected using non-probability methods and purposefully. The questionnaire that contained the components obtained from the meta-composition stage was given to Delphi experts in two stages, all the indicators obtained in the two stages were agreed and approved by the experts.

 In this research, by examining and categorizing and localization the descriptive codes obtained from the texts, 42 sub-categories were identified and according to their semantic similarity and affinity, they were divided into 9 main categories including: human resource scientific capability, human resource behavioral competence, Policy and legislation, social factors, educational leadership, knowledge management approach, evaluation and control of educational quality, learning culture and training of human resources and three individual, environmental and organizational dimensions were classified.

The results of this study emphasize the role of the knowledge management approach in improving the performance of education and its effectiveness, and are in agreement with the findings of the researches of Amirhosseini and Bashiri (2019), Alosaimi (2016), Sembera (2017), Baslom & Tong (2019) and Kassaneh. et al. (2021) is consistent.
Considering the increasing importance of knowledge as the most important asset of the organization, maintaining knowledge workers and developing their learning capacity as much as possible has become one of the most important tasks of human resources management. Coaching skills, creativity and innovation, documentation of processes and procedures, interpersonal communication, leadership skills, performance management, problem solving skills, empowerment skills, team building and working group skills. These are among the things that should be considered in the training of these employees (Monavarian, 2019) and these indicators are mentioned in this research. According to the opinions of Renukappa et al. (2021), ideally, the main goal of organizational training is to increase tacit knowledge, which is the experiential knowledge of employees. The tacitness of knowledge is a natural obstacle for the successful sharing of knowledge between people. Organizations should be able to acquire the tacit knowledge of their employees and deal with this effectively. The management should fully participate and involve the employees in the activities of the organization. In this regard, in the researches of Ramzanzadeh et al. (2019) and Ishak & Mansor (2020), the importance of knowledge management in lifelong learning has been emphasized and it has been pointed out that knowledge management supports the creation and development of individual potentials. And it gives them the ability to be creative and innovative.
Paying attention to the identified indicators and the findings show that the integrated vision of knowledge management makes education really effective. In order to train human resources in the National Bank with a knowledge management approach, it is necessary that the beliefs, attitudes and behaviors in the bank are oriented towards the production, sharing and application of knowledge. in the training of employees with the knowledge management approach, learning becomes the main part of every job, and at the same time, employees learn from each other and teach others, and the knowledge needs of employees and the organization can be successfully provided. Individual and organizational learning creates new abilities and capabilities in employees, and these abilities become products, goods and services, and the bank's profitability is guaranteed.

The knowledge flow is a key success factor for organizations and institutions. Lack of proper knowledge flow in an organization and among different individuals, organizations, and businesses will cause gaps in information and information access. One such gap is the gap in the innovation system. Mediators, as one of the innovation system variables, can play a role in filling these gaps. One of the mediators is knowledge brokers. On the other hand, every business needs a specific business model for implementation depending on its nature. The present study proposed an e-commerce business model canvas for knowledge brokers to improve knowledge flow. In the present study, meta-synthesis and Delphi methods were used, respectively. The sampling methods used in the Delphi part were homogenous and snowball, based on which the experts were 10. The results showed that 7 variables (out of 48) and 22 indicators (out of 156) were removed. Finally, 134 indicators and 41 variables were classified based on Osterwalder's business model canvas variables and presented within the model.

The main purpose of this research is to review and Redefine about data-driven business according to data-driven economies features in order to help policymakers in the domains of ICT Industry, Entrepreneurship, Iran Digital Economy and Iran Digital Ecosystems.

This paper is a kind of Narrative literature review in which the documentary technique is used.

In this study, a new definition of data-driven Business is presented based on eight principles from previous studies.

The researchers believe that the result of the text can be exploited in the following ways: Supreme Council of Cyberspace, in particular the efforts of content, technology and regulation departments , the Vice President of Science and Technology of the Presidency of the Islamic Republic of Iran, in particular the efforts of policy, innovation and commercialization departments, the project of Iran Big Data Roadmapping with a code of 904550100 at the Communication and Information Technology Research Institute in and Data Governance Program of the Ministry of Science, Research and Technology.

The increasing increase of knowledge as the most important source of competitive advantage in the current era in various scientific fields, especially in the field of business, on the one hand, and the selection of appropriate knowledge management strategies to achieve the goals of organizations, on the other hand, has doubled the importance of knowledge audit in today's competitive world. The goal of knowledge audit is to evaluate the knowledge management processes to match them with the organization's goals. So that they can organize their own obvious and existing knowledge well and extract the hidden knowledge of their employees and provide the necessary grounds to discover and identify gaps in the creation, organization, sharing and application of knowledge and the process of knowledge sharing and transfer. Accelerate in organizations. In academic environments, the understanding of the importance of knowledge as a critical source of knowledge audit for organizations is increasing. Knowledge creates a competitive advantage, and organizations that are not able to audit knowledge and use it correctly are doomed to failure in the field of competition. One of the tools that can help organizations in achieving these goals is knowledge audit. Academic libraries also use innovations, philosophies, strategies and techniques used in different sectors in search of achieving a sustainable competitive advantage and in the direction of creating strategic knowledge for strategic academic purposes. In this regard, university libraries can rely on knowledge audit strategies not only to be able to face changes, but also to have a preventive approach or to be the agent of change

Research Question(s):

the problem of the present research is, what are the dimensions, components and indicators of knowledge audit in Iranian academic libraries?

Literature Review:

Knowledge audit is a review, review, measurement and evaluation of the organization's intellectual assets that identifies how these assets are used. Knowledge audit specifies the organization's knowledge needs, the location of the organization's knowledge, how to use it, identifying the organization's knowledge obstacles and problems and providing methods to improve the organization's knowledge, which includes the following processes:Planning: In this stage, the goals, missions, missions, strategies, limitations and scope of the knowledge audit are determined.
Data collection: In this stage, data is collected based on the information of the previous stage through interviews, questionnaires, etc.
Data processing: In this step, valid and invalid data are identified and the accuracy and validity of the data is determined.
Data analysis: In this stage, after quantitative and qualitative data analysis, the value of knowledge capital, effectiveness and efficiency of knowledge management are evaluated.
Reporting: In this step, a report is presented on how the organization's knowledge flows, knowledge resources, problems and related limitations.
Summary: In this stage, the knowledge map of the organization is presented and solutions are suggested to improve the knowledge management of the organization (Jehani Freemani, 2015).    

This research is of an applied type, which was carried out with the descriptive survey research method. The statistical population of this research includes the main managers and managers of central library departments of universities affiliated to the Ministry of Science, Research and Technology. The sampling method of the libraries was chosen according to their dispersion in the whole country, first by random cluster sampling and then by targeted sampling of the central library of the largest university in the capital of the province. 300 questionnaires were distributed among them, of which 279 questionnaires were answered.

Based on the findings of the organizational vision and goals research, data and knowledge analysis, explicit and implicit knowledge measurement, knowledge flow mapping, identifying strategic elements of the organization, analyzing the gap between existing and desirable knowledge, preparing the organization, identifying the knowledge audit process, forming Knowledge audit working group, knowledge flow analysis, identification of organization's valuable assets, information evaluation, current knowledge health measurement and knowledge application analysis are effective factors in knowledge audit. Based on the correlation matrix between research variables, there is a significant relationship between knowledge audit components at the level of 0.01.
The results of the structural equation model showed that the path coefficients are also positive and significant at the 0.01 level, which indicates their positive effect on knowledge audit in Iranian academic libraries.The tested model had an absolute fit index of GOF of 0.50, and the value obtained for this fit index indicates the appropriate fit of the tested model. Therefore, it can be said that the components of knowledge audit working group formation, knowledge flow analysis and current knowledge health measurement have a greater role in the knowledge audit of libraries.

The results showed that the status of knowledge audit components in the central library of Shahid Bahonar University of Kerman and the central library of Gilan University is higher than other libraries. In explaining the results of the research, it can be said that knowledge audit plays a very important role in supporting the knowledge needed by university libraries; Because it can examine how knowledge is transferred in libraries and its use inside and outside libraries, and after that, by identifying the weaknesses and strengths of libraries, it examines the gaps in them and by preventing Rework helps to manage and audit their knowledge effectively.

The purpose of the present research is to analyze the audit of knowledge in Iranian university libraries. Based on the results of the research, it was found that managers can benefit from knowledge audit in improving the quality of university library services. By applying knowledge audit, managers review, examine, measure and evaluate the intellectual assets of the organization and evaluate the knowledge reserves and flow of the entire organization.

This study aimed to identify the dimensions and indicators of knowledge auditing in academic libraries. The present study was applied in terms of purpose and was performed by the Delphi method and qualitative approach. Participants in the present study included professors and experts in knowledge management and information science. By purposive sampling method at first, two or three experts in knowledge management and information science were identified and introduced by other people based on the snowball method and a sample size of twenty people was selected. In this study, Kendall and binomial tests have been used to analyze the data obtained from the first and second rounds of Delphi. Fourteen factors were identified as factors involved in influencing knowledge audit based on the research findings in knowledge audit, which are: organizational perspective and goals of data analysis and knowledge information, measurement of explicit and implicit knowledge, drawing Knowledge flow map, identifying strategic elements of the organization, analyzing the gap between existing and desirable knowledge, preparing the organization, identifying the knowledge audit process, forming a knowledge audit working group, analyzing knowledge flow, identifying valuable assets of the organization, evaluating information, measuring current knowledge health And analysis of knowledge application. Findings showed that the priority index in conducting research, educational, executive projects, etc., had the highest average (4.01), and the index of knowledge resources had the lowest average (1.25). Also, the value of the Kendall coefficient for all factors considered except the factors of vision and organizational goals and identification of strategic elements of the organization is more than 0.7 or very close to it, which indicates the consensus of experts.The level of significance for the Kendall coordination coefficient in most factors is more than 5%, which means there is a significant agreement between experts. The results showed the use of knowledge audit components to identify better the needs of creating, organizing, sharing and using knowledge in organizations. The overall results of the research in the field of validation by experts showed that all components of knowledge auditing have been approved and none of the components have been rejected.

The purpose of this research was to identify and prioritize the aspects of knowledge audit in academic libraries. 

The method of this research is descriptive-survey. The statistical population of the research includes the final managers and managers of central library departments of universities affiliated to the Ministry of Science, Research and Technology. The sampling method of the libraries, considering their dispersion in the whole country, is first by random cluster sampling method and then by targeted method of the central library of the largest university in the center of the province. Finally, the number of 279 final managers and department managers of central libraries of universities affiliated to the Ministry of Science, Research and Technology were selected as the statistical sample of the research. The knowledge audit questionnaire has been compiled with 99 items and includes 14 dimensions of vision and organizational goals (7 items), analysis of knowledge data and information (6 items), measurement of explicit and tacit knowledge (6 items), drawing a knowledge map. (6 items), identifying strategic elements of the organization (8 items), analyzing the gap between existing and desired knowledge (5 items), preparing the organization (6 items), identifying the knowledge audit process (7 items), forming a knowledge audit working group (8 items) ), analysis of knowledge flow (12 items), identification of valuable assets of the organization (6 items), evaluation of information and knowledge (6 items), measurement of current knowledge health (9 items) and knowledge application analysis (7 items). 

Based on the results of the research, the components of knowledge flow analysis (4.57), measuring the health of current knowledge (4.12), forming a knowledge audit working group (3.68) and identifying the strategic elements of the organization (3.12) have a higher average rating than others. The indicators are in terms of the possibility of occurrence and influence in the knowledge audit of academic libraries and have a more favorable situation in academic libraries, and in the same way, other indicators are placed in the next ranks. 

Based on the results of the research, it was found that managers can benefit from knowledge audit in improving the quality of university library services. By applying knowledge audit, managers review, examine, measure and evaluate the intellectual assets of the organization and evaluate the knowledge reserves and flow of the entire organization.

The present study aims to investigate Greening in Iranian central Academic libraries from perspective of their managers. The study is an applied research and was performed by an evaluative survey method. For data collection, a researcher-made questionnaire was utilized containing six sections relevant to Environmental management. The research population was comprised of the managers of Iranian Academic libraries affiliated to the Ministry of Science, Research and Technology, Ministry of Health, Treatment and Medical Education, Iran’s Islamic Azad University and a total of 186 libraries were included . The Green Library measures included the construction and equipment, management and planning, librarians’ motivation and commitment, acquisition and protection, information organization and dissemination, and participation and support national and international programs were in an intermediate state, and there was not any differences between the three groups of central academic libraries in terms of observance of these measures. Iranian Academic libraries can be due to the fact that in Iranian academic system, Environmental management has not yet been turned into the university managers’ concerns, and no significant difference has been observed in this situation.

The purpose of the present study is to investigate the relationship between demographic factors and unplanned behavior of users in the use of academic libraries resources and services.

The present study is an applied research using a survey method. The data gathering tool was a researcher-made questionnaire. The face and content validity were employed to measure the validity of the questionnaire. Cronbach's alpha for the variables was calculated and obtained higher than 0.7, so the reliability of the questionnaire was also confirmed. 69351students who were members of the central libraries in Ferdowsi University of Mashhad, Shahid Chamran University of Ahvaz, Pardis of Tehran University, Tabriz, and Shiraz Universities composed the research population. The sample size was estimated 382 people according to Krejcie and Morgan tables. A stratified sampling with randomized strata proportional to the population was used to collect data. The data were analyzed implementing SPSS software.

According to research findings, age, educational grade and rate of referral to academic libraries have a significant relationship with their unplanned behavior in using the resources and services of this type of libraries. There was also no significant difference between gender, university and student educational groups with their planned behavior in utilizing university library resources and services.

The academic libraries must, in order to optimize use of resources and services, attracted audiences, and increased level of awareness and information of users pay special attention to be effective demographic factors on the unplanned behavior of users.

The purpose of this study was to identify the components of professional publishing and the consequences of non-professional publishing in Iran. The study used the Grounded Theory method and fell under the qualitative research category. Snowball sampling was used to select 16 experts and professionals in the field of book publishing for the statistical sample. Semi-structured interviews were used to collect data, which was done up until theoretical saturation. The interviews were implemented and coded, and finally, the central category was obtained by knowing the consequences, strategies, contexts, causal conditions and interveners. Based on the results, the correct understanding of the nature of publishing, having specialized and up-to-date knowledge, and having the facilities and equipment are the main factors in the formation of professional publishing. In order to achieve professional publishing, it is necessary to pay attention to the mechanisms of the publishing economy, proper planning and marketing, and new technologies to be given serious attention by publishing activists, and a suitable policy regarding full-time employment of publishers, support for publishing activists, culture building and the use of new technologies in be taken Reducing dependence on the government, disregarding publishing laws, trade union interference, economic problems and low quality of books are among the problems that should be in the focus of activists, planners and policy makers in the field of publishing, and the sum of these measures can produce quality works that are in line with market needs and also help the specialized activity of publishers which leads to the professionalization of publishing.

The present study was conducted to provide a suitable model for book distribution in Iran. This research is applied in terms of purpose, and the research method is mixed (qualitative: grounded theory; and quantitative: analytical survey). The data were collected through a series of semi-structured interviews at the qualitative stage. The population of the qualitative section consisted of 10 book distribution experts who were selected by using the snowball method; for the second population, 118 book distributors were purposefully selected, and the research questionnaire was distributed among them. The MAXQDA software was used to determine the qualitative section's concepts, categories, and subcategories. Then the paradigm of book distribution in Iran was identified. The model was determined using PLS software in the form of descriptive statistics and structural equation modeling in the quantitative section. In the qualitative section, the five cultural, economic, legal and political, substructural, and professional factors were identified; the results of the quantitative section showed that the cultural dimension had a weak relationship with distribution factors, and the relationship was vital for other dimensions. It can be said that the cultural dimension has the lowest intensity of the relationship, and the substructural dimension, economic dimension, professional dimension, and legal and political dimension have the highest intensity correlation with distribution factors, respectively. The most influential factors influencing book distribution were the lack of reading culture, inadequate distribution, unprofitability, weak rules, and unprincipled publishing support. The most effective way to improve the distribution was to strengthen the professional distributors. Distribution channels of goods and cultural services in Iran are mainly traditional. Moreover, the traditional distribution network, lack of use of new technologies, the long flow path of goods, the minimal share of bookstores in the distribution system, weakness of distribution substructures, lack of manpower skills in the distribution sector, and lack of capable public and private distribution networks cause inefficiency of the book distribution network and result in consumer dissatisfaction.

The present study aimed at presenting a model for the use of the Internet of Things in Iranian knowledge-based companies. In terms of exploration and data collection, this applied research is a qualitative and quantitative one. The main approach for achieving the model of using the Internet of Things is the grounded theory methodology which is based on a paradigmatic model. In the qualitative part, 25 executives and practitioners of knowledge-based companies who were somehow specialized and experienced in the Internet of Things were interviewed. They were selected through snowball method. For the quantitative part, all managers and technology experts working in knowledge-based companies were considered as the research population. Cochran's formula for finite communities was used to select the sample. After careful analysis of the interviews, 59 extracted concepts were identified in 5 main categories and 13 subcategories. It was found that management requirements, customer requirements, and resistance economics give rise to the Internet of Things in the knowledge-based companies.  The characteristics of the company, the human resources and the managers can provide a suitable ground for using the Internet of Things. Moreover, it was revealed that and the conditions in the country, international pressure and international cooperation can be among the intermediary factors influencing the use of the Internet of Things. Raw materials and infrastructure can also be effective for using the Internet of Things. Finally, using Internet of Things, customer-related factors, international collaborations, and expected results can be anticipated in knowledge-based companies.

An open data-based business needs business models and a shared environment called an ecosystem. This research aims to provide a framework for managing a business-oriented open data ecosystem.

The research used a qualitative grounded theory method. Data were gathered using deep semi-structured interviews. The research population consisted of 15 experts of macro-data, open innovations, and data management domains. Hence, purposive sampling was used to select the interviewees. Data were analyzed using open, axial, and selective coding stages.

The findings of the proposed model include the sections of causal conditions, strategies, intervening conditions, infrastructure conditions, and their outcomes. Causal conditions are embedded in factors such as Data-oriented approach, Program-oriented approach, Use- and User-oriented approach, Network and ecosystem approach, and open innovations approach. Intervening conditions are value-based mechanisms based on open data and customers. The Contextual conditions include several categories such as business contextualization, legal requirement, institutional requirement, technical requirement, operational-process requirement, and cultural-social requirement. Strategies such as business, relationship profit, and innovation process management must be employed to manage the open data ecosystem. The outcomes of open data ecosystem management will include value proposition, cost structure and revenue stream, skill capability, organizational capability, and information technology capability.

The framework proposed in this study helps data-based businesses to identify key components of open data ecosystem management and focuses on the capacity of open data ecosystem value creation to develop innovative information flows.

The aim of this research is to study the Construction and Standardization of measurement scale for studies that study the use of Internet Of Things.

Combination of descriptive developmental method used in this research. Statistical population of this research includes 8700 specialists of Internet Of Things with activity experience in companies of knowledge foundation in 2018, Of this community, 490 people have been selected as the sample using the Cochran formula. Statistical sample selected by cluster sampling method since first half of may unit first half of June in 2018.

Based on qualitative and quantitative criteria of the research, collected tools include 35 markers for the evaluation of 5 components. Test questions prepared based on theoretical literature. Test of measurement scale of Internet Of Things usage includes 5 parts: (training, research and scientific production, executive works, innovation, marketing and scales), and its content – related validity confirmed by professors and implemented on statistical sample. Based on implemented calculations of interior similarity coefficient, rate of micro scales of training, research and scientific production executive works, innovation, marketing and scales are respectively 0/83, 0/93, 0/96, 0/89, 0/82, and total test score is 0/95. Analysis method with varimax rotation used to determine structure validity and test components.

With respect to obtained validity and reliability, test of Internet Of Things usage is a tool that may be used for centers related to Internet Of Things research.