نشریه مدیریت اطلاعات
سال هشتم شماره 1 (پیاپی 14، بهار و تابستان 1401)

In the scientific literature, indexing and quality control are key processes that, if done correctly, can be properly retrieved by search engines by researchers. On the other hand, the use of mechanisms such as infallibility and empowerment of users has made research organizations 100% free from quality control. Also, the restriction on the use of specialized organizational human resources has doubled the importance of paying attention to sampling methods. Although in scientific sources, sampling methods in physical and tangible products have been well and adequately addressed, but in the field of data, especially research data, little work has been done. In this research, a framework for sampling in data quality control processes is provided. Also, an algorithm has been developed for statistical design to minimize type I and II errors. As a case study of research data, the information dissemination database of dissertations / dissertations (pious) of graduates of the whole country (Ganj) has been selected and the research method has been implemented in this database. The results of this study showed that, considering the acceptable quality of many pious information items after registration, sampling is a vital task in improving the efficiency of the information organization and analysis unit. The classification of information items into three categories is critical, main and partial, and determining the number and method of sampling for each category is another result of this research. The framework presented in this research can be localized for various data-driven organizations, especially businesses based on research data. Since any revision of AQL and LTPD values affects type I and II errors, it is necessary to apply the algorithms developed in this research to new AQL and LTPD values as well. Obviously, the results of the algorithm implementation such as number of samples, acceptance number and rejection number will be updated in this process.

Artificial intelligence is one of the key technologies that has helped a lot in industrial processing and solving various problems of society and has been considered by many societies. Over time, the use of artificial intelligence technologies and machine learning programs and algorithms in factories, health, banking and security, as well as e-commerce, mass media and mobile application platforms has developed significantly. Despite these advances, in parallel with technological advances and solutions produced by artificial intelligence, more variables are emerging about how things are done and whether current resources are sufficient to meet the changing needs of people. Thus, with unresolved issues, the challenges seem endless and experts are not skilled enough to complete their systems. Therefore, in this article, we address the most important challenges in the development of artificial intelligence in the Islamic Republic; after identifying the challenges with the content analysis method and with the interview tool, we have prioritized these challenges and the intensity of the relationship between them using the fuzzy cognitive mapping method. The statistical population of this study was selected from ICT experts, especially specialists in the field of artificial intelligence. In this research, first 36 pivotal challenges of artificial intelligence development in the country were identified based on existing strategic documents and content analysis method and then based on four initial impact matrices, fuzzy impact matrix, impact power matrix and final impact matrix and FCMapper software and Pajek software. Fuzzy cognition was drawn.

Today, organizational architecture is recognized as one of the models of IT planning and its application is recognized as a general practice in all organizations. Organizational architecture is a promising tool to align the required changes in the organization's business strategies and processes with the complex IT Introduction. Considering that the issue of organizational architecture management is one of the necessities of organizations today and one of the challenges of organizational architecture management is to provide a model for developing the business capabilities of the organization, in this article, patterns and methods of identifying business capabilities have been introduced. The present study is applied in terms of purpose and exploratory in terms of implementation method. The statistical sample is composed of university professors and architecture experts aware of the field of business capabilities. In order to collect information in this study, 22 key informants (saturation limit) who were selected by a purposeful method and judged by researchers, open and in-depth interviews were conducted. The theme analysis method was used to analyze and interpret the data obtained from the interview. The present study shows that there are different methods in identifying business capabilities that based on the results of interviews with the theme analysis method, finally 4 main themes including 1) architectural reference models 2) industry specific models 3) process reference models and 4) Complementary methods as well as 25 sub-themes were identified based on the main themes. This model was validated through expert panel and case evaluation in Fava Management Unit of Isfahan University of Medical Sciences. Using the identified methods in the field of business capabilities in 4 forms of architectural reference models, industry specific models, process reference models and complementary methods, we can finally be a model for modeling business capabilities in Prepared by various organizations in the country.

The aim of this study is to identify and prioritize the key factors of success in implementing smart contracts in the insurance industry. The research methodology of this study is descriptive, exploratory, and survey the content of written documents. After identifying key factors based on the study of research literature and interviews conducted by managers and experts in insurance affairs in the area related to the issue were used to evaluate the importance of each factor in field study and questionnaire distribution. Correlation analysis of identified factors and network structure modification was carried out based on fuzzy Dematel approach and ranking the success factors of smart contracts based on blockchain was done using the ANP method approach. With regard to the evaluation of the acceptable form in the first step of screening, the number of 29 identified factors were confirmed. Then using ANP method and evaluation, it was shown that superior management and superior management support with 0.269 weight were ranked first, excellent management support with 0.168 weight and openness were ranked third by operational managers and organizational integration with 0.126 weight.

Human genetic information, as the life treasure of the masterpiece of creation, needs maximum protection that, while being able to be used for scientific purposes and improving the quality of life, ensures the movement of this unique data on the path of sustainable development. Although this has been considered in the legislative process of protectionist regulations, on a national and international scale, it has not shown enough adequacy and efficiency in practice; So that whispers of unauthorized access to this data are heard more and more in the present age. In the meantime, formulating legal solutions to fill the existing gaps as soon as possible, because of difficulty and length of legislation, seems to be a rejected option. On the other hand, the sharp-footed horse of technology has embarked on unpaved routes and opened new horizons for its riders. Blockchain is one of the most emerging platforms that, despite its infancy, has opened its place in various fields and is still opening up. At a glance, it seems that the unique capabilities of this technology could be the missing link that guides the law for regulating human relations and protect sensitive information. In other words, the danger of open access to human genetic information, with such a wide range of consequences, is so near that legal solutions- although it is Necessary and should be tried to create and make them effective- is insufficient. Helping tool, technology, with its inherent dynamism, will block the violators' way of accessing this rich data. Obviously, the formation and consolidation of these two areas requires a smart bedrock, just will be possible by identifying Dimensions of law and technology. Thus, this paper designs a hybrid system (legal and ultra-legal) for human genetic resources' protection with a Practical approach.

The purpose of this quantitative research, which has been done by survey method, is to make comparative assessment of virtual and face-to-face education from the prespective of communication, focusing on “SHAD” virtual education software from the aspect of teachers, among the 7 to 11 year old children . The statistical population(group) is consis of school teachers in the western educational districts of Tehran, which includes districts 2, 5 and 10, during 1401-1400 academic semester. The total number of formal and contract employee teachers in these schools is 2381, as the sample size is 330 according to the Cochran's formula. The members of sample were collected by biphasic cluster sampling (PPS) method and by using a structured questionnaire that each questionnaire contained 38 questions on a five-point Likert scale; data were collected from sample members. The validity of this study was assessed through a pre-test questionnaire and confirmed with a Cronbach's alpha score of 0.85. According to the study results, in teachers' point of view, face-to-face education is superior to virtual education, in terms of communication platforms, feedback and interaction ; and virtual education is superior to face-to-face education, only in terms of conveying the message. Based on the findings, by providing courses for educating teachers with better methods of transmitting emotional messages and teaching body language to teachers, reinforcing the necessary software and hardware facilities for virtual education and using multimedia interactive communication facilities; it is necessary the implementation of new teaching styles and methods and new methods of evaluating students in accordance with virtual education to be on the agenda of schools and education services.

According to the importance of public organizations such as municipalities in Iran, few researches conducted on benefits of e-government and discrepancy among the results of the researches, its necessary to develop analytical research. The aim of this study is to evaluate the benefits of the e-government from the perspective of municipal employees. Considering research objective, it is an applied study and regarding to the data collection and data analysis method, it is a descriptive- correlational study. The statistical population of the study consists of 2003 employees of the Rasht municipality, includes the five urban areas, the center municipality and its related organizations which according Morgan-Krejcie, sample size was estimated 322. After distribution of 390 questionnaires using stratified random sampling method, 330 questionnaires were collected and analyzed using structural equation modeling (SEM) and based on partial least squares approach. Results of the research hypotheses indicated that all three types of quality (information, system and services) have significant relationship with network benefits and user satisfaction. On the other hand, the results on the relationship between network benefits and user satisfaction also showed that the network benefits significantly affect user satisfaction. Finally, the results showed the network benefits and user satisfaction had a positive and significant effect on intention to use. Since the most indirect path coefficient is resulted from the effect of information quality on intention to use, through the network benefits, it’s suggested to pay more attention to improve information quality and network benefits in order to increase intention to use of e-government.

The current research is a survey-analytical type with the aim of investigating the use of content marketing strategy in public libraries of the country. The statistical population consists of all librarians and managers of public libraries in the country, which were determined using Cochran's formula and numbered 364 people. The resulting data were analyzed using SPSS version 24 and PLS3 version 8 software. Reviewing the findings of the research shows the average desirability of the content marketing variable among the respondents. Also, among the components of content marketing, the factor of providing and producing content with an impact factor of 0.931 is the first priority and the factors of distribution and publication of content with 0.917, content analysis and analysis with 0.894, strategic planning with 0.877 and pricing and sales with 0.642 are in the second to fifth priorities, respectively. The results indicate that public libraries have been able to some extent to attract and retain more users by producing useful content related to the needs and preferences of the audience, as well as changing and improving the behavior of users and turning them into loyal users, but it seems that this is due to ignorance. Managers and librarians in other components, despite their importance, have been neglected, and while paying more attention, they can make a special contribution in the direction of branding public libraries, establishing better communication with customers and making them loyal. Also, content marketing in the institution of public libraries, while being effective, if implemented accurately, can also become the basis for economic development.

Information assets have become crucial for organizations' competitiveness and growth. Despite this, organizations today face serious problems in managing such assets. Therefore, this study attempts to investigate the barriers to deploying information assets management in organizations by using structural equation modeling and through exploratory and confirmatory factor analysis approach. The present study is practical in nature and is considered as a descriptive-exploratory correlation study. The required data were collected through the distribution of questionnaires among 96 financial mangers working in Tehran city. The time period of this study is the first season of 2022. According to the research findings, barriers to the deployment of information assets management in organizations were classified into five main components. Based on the second-order confirmatory factor analysis, the factor loading of the five mentioned components on the main structure (barriers to the deployment of information assets management in organizations) are: awareness, justification, goverance, leadership & management, systems & practices. Finally, research findings also show that among the demographic variables, years of service had an effect on three components, type of organization on two components, education on two components, age on one component, and gender variable did not affect any component.

One of the ways to detect spam is classifying emails into two categories: spam and non-spam. The high efficiency of machine learning methods in various fields has developed them in text clasification problems. The mechanism of machine learning-based classifiers that classify emails according to their content is based on a set of features, where due to the high volume of emails, using an efficient feature reduction algorithm plays an important role. Unlike the previous methods which select only the superior features and ignore the rest of the unselected features, in the proposed method of this article we try to use unselected features as well. The method is that after applying an initial feature selection, the unselected features are clustered and then each cluster is mapped to a new feature and the final feature vector forms from the selected ones and those mapped from the clusters. In this study, by applying two methods of selecting the initial feature and also two mapping functions, four methods were presented and analyzed using two datasets PU2 and PU3. The results of the analysis showed that the method based on feature selection DF and the advanced mapping function has the highest efficiency among all the proposed methods. Also, the proposed methods are more efficient than base feature selection methods (without clustering).

Today, large volumes of data that are generated from various sources with high velocity and variety, has led to innovation and transformation in many industries. Many industries, such as the retail industry, have sought to use big data technology due to the growing importance of creating value from data in this industry. But many industry leaders face a number of decision-making dilemmas for applying this technology, as well as the challenges of implementing it. Therefore, the main purpose of this study is to determine the big data applications in the retail industry that has fewer implementation challenges. In this research, using the meta-synthesis method with systematic search in reputable scientific databases, first, related articles on how to use big data technology in the retail industry have been examined. Then, using the content analysis method, bigdata applications in the retail industry have been analyzed and categorized, by identifying the criteria related to the challenges of big data applications and using quantitative multi-criteria decision-making methods -a combination of BWM, DEMATEL and TOPSIS methods, the priority of big data applications in the Iranian retail industry has been determined. The findings of this study show that the three applications of big data including determining market trends, determining the optimal product portfolio and micro-segmentation of retail customers have the least challenge and therefore the highest priority and three applications of data-driven cooperation, elimination of counterfeit products and the layout of the store space had the most challenge and the least priority in the Iranian retail industry.

The Information Technology (IT) Infusion is known as the last stage of implementation and embedding of IT and is defined as: deep and comprehensive deployment of IT in the work systems of an individual and organization. Infusion is much beyond the initial acceptance and is placed after the post-implementation stage. The sixth stage, or in other words infusion, is one of the aspects that has been the least studied after the adoption and application of a technological innovation. The aim of this article is systematically reviewing the literature on IT Infusion between 1985 and 2022. This systematic review includes the scientific research works of countries, the distribution of articles based on the year of publication, journals, authors, the amount of citations to the journals and researchers and classified from the prospective of methodology. Findings show that IT infusion is still one of the dimensions that is less considered and researchers can use different theoretical and methodological approaches to study IT Infusion and cover the research gap.