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Purpose: Hacking the human brain and manipulating human trust to obtain information and get monetary gains is called social engineering. This study aims to visualize and analyze the co-authorship networks in the Scopus citation database's social engineering research from 1926 to 2020.  Method: The present quantitative study used the bibliometric method and social network analysis. The study collected data from the Scopus database. A total number of 1994 records were taken as the sample of the study. Researchers used descriptive and inferential statistics and social network analysis to obtain results; to do this, different software types were used in the study (SPSS, Microsoft Excel, Text Statistics Analyzer, ISI.exe, Pajek, and VOSviewer). Findings: The findings indicate the top three sources of publishing and the related subject areas. Furthermore, the top three core authors and countries were identified. Also, the authors with high centrality measures in the co-authorship networks were identified. A large majority of papers had only one author. The Collaborative Coefficient among researchers was 0.36. Based on the results of Spearman's test, there was a significant association between the number of documents, the number of citations, and the rate of total link strength of the countries. Likewise, there was a positive and high significant association between degree and closeness centralities.  Conclusion: The researchers' frequently used keywords in this area were social engineering, phishing, and information security; in addition, the frequency of keywords was not compatible with Zipf’s Law. A small sample of keywords will not properly follow Zipf’s distribution.

Purpose: This study was conducted to identify the model for removing obstacles and executive mechanisms to implement servant leadership in the health insurance organization to achieve the digital health system. Method: The present research has been exploratory and qualitative. Content analysis method has been used to identify server leadership mechanisms. The statistical population of the study includes employees of different levels of the Health Insurance Organization that 12 people were selected based on theoretical saturation through purposive non-random sampling method. Library methods and semi-structured interviews were used to collect data. The data analysis method was theoretical coding derived from server leadership theories using MAxqda software. Findings: The results obtained from data analysis show that the components of humility, service, trustworthiness, interaction with employees and collection and ethics are the most important barriers to implementation and executive mechanisms of health insurance servant leadership, respectively. Using MAxqda software, the indicators desired by the experts are prioritized. Conlusion: Accordingly, the most important and effective barriers to the implementation of servant leadership are "inappropriate structure", "moral barriers", "centralism and self-centeredness" and "subordinate conditions", respectively. The components of ethics, cooperation, communication, planning and scientism are among the main mechanisms of servant leadership in the first to fifth priority, respectively.

Purpose : The purpose of this study is to provide a model for the participation of health donors in the direction of digital health developments. There are different types of this partnership, which necessitates the goal of this paper. Method : This research has been done qualitatively and it is exploratory. Theme analysis technique has been used. Also, by examining different patterns related to charitable affairs in the country and abroad, a preliminary pattern was drawn by reviewing domestic and foreign studies. Using the snowball technique, 47 experts were selected in the qualitative section. Using semi-structured interview tools, 47 experts and philanthropists in Fars province were interviewed. The software used is ATLAS TI. Findings : Based on the results, 51 codes were identified. These 51 codes were divided into 8 categories of primary content. These 8 themes are codified plan and roadmap, interaction with donors in policy-making, providing legal facilities to donors, streamlining laws for donors, helping with education in the health sector, creating a culture for health, and spending financial resources in the sectors. Priority is given to costs in the prevention department commensurate with the treatment. Conclusion : Based on the designed model, creating strategy and planning, education and culture, ease of laws and regulations, as well as planning financial resources play an important role in managing the participation of health donors. With clear planning of health programs, benefactors see the clarity of decisions.

Purpose : The purpose of this study is to design and explain the development model of future managers based on talent management and personality types with the grounded theory approach in the headquarters of the National Social Security Organization. Method : This research was conducted with a qualitative-inductive approach and Strauss-Corbin's grounded theory method. The research tool was a semi-structured interview. Using the grounded theory method, the data obtained from interviews with 12 elites and qualified specialists of the Social Security Organization were analyzed in three open, axial, and selective coding stages. Findings : 19 general categories in the form of a paradigm model in which these factors include causal conditions (individual factors, organizational factors, lack of proper selection, knowledge and skills of employees), central phenomenon (future managers based on talent management and personality types), contextual conditions (Organizational context, Talent Selection, Talent utilization), intervening conditions (psychological (individual) factors, Individual factors, Management factors), and strategies (Talent sourcing, Empowerment of managers and employees, Proportion of job and employment, Succession, Foresight and Cognitive Strategy) and Consequences (Organizational results, Public satisfaction, Futurization). Conclusion : Conclusion: Recent developments in the field of human resources have made this field doubly important. Organizations try to employ the most specialized people at management levels, and therefore talent management, as a key king, examines the types of situations involved in this field. Proper use of talents leads to success and puts the organization on the right track.

Purpose : The purpose of conducting research was the effect of information and new technologies in attracting customers to sports venues in Kermanshah province. Method : According to the official statistics of the medical board, about 40,000 people are mentioned in the province's sports statistics community. The present research is applied research that is descriptive in terms of strategy and survey in terms of implementation. Data collection was done by field method and through a questionnaire. The statistical population was all customers of sports facilities in Kermanshah province. Based on Cochran's formula, 560 people were selected as a statistical sample. To collect information, Moghimi's (2010) mixed marketing questionnaires were adapted, and information technology and attracting research-made customers were used. The structural equation path analysis method was used to analyze the findings. Findings : Findings indicate that the fit of the structural model of t-coefficients for all research relationships greater than 1.96 can be confirmed by the appropriateness of the fit of the structural equation model. Conclusion : In general, it can be acknowledged that the combination of marketing and the use of information technology directly affects the process of attracting customers to sports venues, so it is recommended that managers use these strategies to highlight the competitive advantages of sports venues through the use of space. Put physical and virtual on the agenda.

The developments of digital marketing in the banking industry have affected the speed of changing customer demands. Therefore, the ability to quickly and agilely adapt to changes plays a key role in creating competitive advantages. Despite the significant role of agility in responding to changes, so far there is no research that identifies the agility components of the banking industry in digital marketing. Thus, based on the designing methods of qualitative research, and investigating digital marketing experimentally and theoretically, this study presents a new model for digital marketing agility in the banking industry. In this research, the key theoretical dimensions of digital marketing agility are identified and some suggestions for facilitating the model implementation are provided. The findings of this study include important results for marketing managers in the banking industry and indicate what strategic measures are needed to establish agile practices in the structure, processes and communications of their digital marketing from a practical perspective in the context of agile digital marketing.

This article examined the organizational ambidexterity model for digital innovation in the banking industry and explained the dimensions of the ambidexterity model in this organization. Regarding intense competition and rapid changes and variations in products, processes, and technologies in today's world, organizations and managers must be ambidextrous to remain successful over time; Ambidexterity means the ability to simultaneously succeed in two contradictory abilities, for example, ambidexterity such as taking advantage of present opportunities, and discovering and creating new opportunities for the future, adaptation, alignment, flexibility, and efficiency. But the key questions are “what are the dimensions and components of organizational ambiguity?”, and “What is the current and favorable situation of Saderat Bank of Iran in this regard? Orienting an organization as an integrated set in order to reach ambidexterity and sustain it requires a set of causal, contextual, interventional, and strategic factors which ultimately lead to the consequences of organizational ambiguity. This study identified the dimensions and components of organizational ambidexterity through reviewing the literature on organizational ambidexterity as well as interviewing an expert group and analyzing their viewpoints. Then, by distributing a researcher-made questionnaire and statistical analysis, it examined the research pattern in the current and desirable situation of the organization.

Purpose: The purpose of this study is to provide a model of organizational agility in Fars education departments with a digital transformation approach. Methodology: This study is applied research from the perspective of the purpose of agile modeling of education departments' digital transformation strategy. Based on the data collection method, it is mixed research that was done by qualitative-quantitative methods. The participants include experts familiar with the structure and organizational relationships in education. Using the purposive sampling method, 15 people participated in this study. The main tools for collecting data are interviews and questionnaires. The interview consisted of 6 initial questions in a semi-structured manner. Content analysis has been used to identify the underlying categories of the research. The structural-interpretive modeling method has been used to design the initial model. Data were performed in the qualitative phase with ATLAS TI software and the quantitative phase with MicMac software. Results: Using qualitative analysis, the views of experts were identified through content analysis, and 5 categories and 19 components were identified. Then, based on the interpretive structural model, a model was designed for organizational agility of the Department of Education. There are 5 main themes of maturity, visionary leadership, structural flexibility, knowledge-based and socialism, and 19 organizing themes in this model. Conclusion: Education as a knowledge-creating organization acts in a coordinated and directional manner by creating an agile environment, thus providing the necessary platform for increasing the flow of information to create new knowledge and increase added value in its economic fields.

Purpose: The purpose of this study is to explore the university libraries’ responses to the COVID-19 pandemic and determine their services patterns. Method: This study is a qualitative exploration by collecting data through phone and online interviews of selected heads or assistants of thirteen university libraries. The interview recordings were transcribed with the help of callX software. The content of the interviews was analyzed and coded using MaxQDA software and led to the extraction of 220 initial codes. Findings: Almost all the central libraries of the studied universities limited their in-person services during Covid 19 pandemic but engaged with the users and tried to increase digital and remote services. Revamping their web pages, Flexibility in presenting services, development of information dissemination to users were the most important services and activities that central libraries presented in the pandemic era. Two of the most significant services which they have started during this period are librarian booking and online videoconference interviews with the users. Conclusion: although Covid 19 quickly invaded libraries and reduced the opportunity for a quick response, some of the studied central libraries took advantage of the crisis and provided suitable services to students such as setting up digital reference desks, purchase of software to organize electronic resources in the library, online reference interview with users etc.

Emotion recognition from speech has noticeable applications within the speech-processing systems. The goal of this paper is to permit a totally natural interaction among human and system. In this paper, an attempt is made to design and implement a system to determine and detect emotions of anger and happiness in the Persian speech signals. Research on recognizing some emotions has been done in most languages, but due to the difficulty of creating a speech database, so far little research has been done to identify emotions in Persian speech. In this article, because of the dearth of a suitable database in Persian to detect feelings, before everything, a database for moods of happiness and anger and neutral (with no emotion) in Persian, including 720 sentences was set up. Then the frequency features of speech signals obtained from Fourier transform such as maximum, minimum, median and mean as well as LPC coefficients were extracted. Then, the MLP neural network was used to detect emotions of happiness and anger. Results show that our algorithm performs 87.74% accurately.

The aim of this study is to review and redefine the interaction process with information based on a holistic approach. The data required for this qualitative study were collected through semi-structured interviews among 18 individuals and analyzed using thematic analysis. The network of themes making up the information interactions consists of 5 global themes which have been extracted among 23 organizing ones. These themes include the beginning, orientation, networking, and consolidation, which can be interpreted in terms of the symmetry theme as a kind of looking at humans and non-humans in a three-layered context including the internal, external, and technology-tools contexts. The new view of interaction with information has taken it beyond the interpretation scope from the human user’s perspective and observes it alongside non-human factors. As a result of such an approach, the non-human factors in the role of infrastructure and technology-tool context, meet specific and interpretable effects along with human ones, external and internal contexts.

Regarding to design an applicable electronic book reading system for children and adolescent, this study’s struggle is to prepare a conceptual model. We used quantitative approach and Delphi method in order to analyze data. In this regard, criterion based sampling is used to identify the research population. 15 experts were identified which had criteria such as having subjective publications, teaching experience, and so on. We supposed that these experts could present more information that we expected to collect. Moreover, 8 electronic book systems were selected to be reviewed, because of their plenty of active audiences, and their international and also standard presence. Firstly identified practical criteria in designing electronic books by extracting them from related resources and checking active systems. These data helped us to prepare primitive version of the checklist and it completed after passing validity control step with participation of three experts. Then the checklist presented to experts in Delphi panel. Finally, consensus on the components was reached after three rounds of Delphi panel. The results showed that in designing electronic books for children, there are five original components. The components are display screen features with 12 criteria, screen organization with 13 criteria, interaction and feedback with 8 criteria, search and retrieval features with 10 criteria, and help and guidance features with 10 criteria. Consequently, display screen features with score of 3,706 and interaction and feedback with score of 3,700 were selected as the most important components in designing electronic book systems by the viewpoints of Delphi experts.

Purpose: The present paper aims at identifying and extracting the dimensions, components, and criteria of digital library evaluation based on experts` opinions and the 5S conceptual framework of Goncalves.Methodology: This was an applied, documentary, and survey research making the best use of the fuzzy Delphi method (to extract criteria and develop the conceptual model), forming a trinity in methodology. To refine the components, and criteria, 20 Iranian and foreign experts were polled about digital libraries in 3 stages. The results of each stage were refined based on Minkowski formula. This was an applied research since it presented the evaluation criteria of Iranian digital libraries, and its results can be practically used, enabling digital libraries to evaluate and examine their status quo, and accordingly plan and enhance their activities. It was a descriptive study based on the research design and data collection method. To gather the data, three methods were used: documentary study, fuzzy Delphi (to extract criteria and develop the conceptual model), and survey, creating a trinity in methodology. Findings: During the three stages of the experts` poll, in Stream component 4 criteria, Structure component 4, Space component 4, Scenario component 5 and in societies component 3 ones were refined and also the results of each stage were refined using the formulas of Cheng and Lin model and ultimately the experts agreed with each other on 20 criteria. Conclusion: A digital library evaluation model was designed with 5 dimensions (components), 20 criteria, and 50 sub-criteria. It was offered to all organizations and universities as an evaluation model for digital library performance examination, so that they properly perceive the efficiency and effectiveness of digital libraries and their services.

Purpose: The present research has been done with a view to evaluation and ranking of production and management of digital resources in the supply chain of digital libraries. Methodology: The present research is essentially an applied one and the method employed, has been descriptive survey based on Shanon Entropy and Fuzzy TOPSIS methods. Findings: According to our findings, the risks of “Collection development strategy of digital resources” with highest rate of Proximity Coefficient(PC)=%731 stand in the first place and then the other ones in order include: risks of “Management strategy of digital resources at libraries” with PC=%7186, “The high cost of technological changes of information carriers and storage formats” with PC=711 and “Competence of library software in detecting repetitious copies” with PC=%651. Conclusion: 26 risks for production and management of digital resources in the supply chain of digital libraries have been identified and amidst production and management risks of digital resources in the supply chain of digital libraries the risk of” Collection development strategy of digital resources” stands in the first place.

Purpose :The main purpose of this research was the pathology of strategic human resource management system based on digital transformation governance. The analysis has been done in Gachsaran Oil and Gas Exploitation Company with the grounded theory approach. Method : This research is a heuristic combination of consecutive type and model tooling, model design and compilation based on the criteria designed by the model. Library method and documentary studies were used to collect theoretical foundations. In the qualitative section, using the research method of case study and semi-structured interviews with experts and professors, the criteria of the research model were developed. In order to select a suitable sample from the community of experts and university professors, non-random sampling method, selective purposeful sampling method (snowball) and theoretical saturation criterion were used and from the sample technique of key individuals (experts) 15 people were selected. Findings : Findings show that in the digital transformation path, factors such as employment system balance, equitable distribution of responsibilities, career path management, functional stability, manpower capability, fitness and work environment, individual creativity, political and legal factors, cultural conflict, environmental developments, specific individual and organizational components, and financing influence the strategic human resource management system. Conclusion : In the path of digital transformation in the organization, in order to eradicate organizational harms and improve the productivity of the organization and the workforce, the factors found in this research should be considered and examined so that the organization can progress.

The widespread deployment of social media has helped researchers access an enormous amount of data in various domains, including the the COVID-19 pandemic. This study draws on a heuristic approach to classify Commercial Instagram Posts (CIPs) and explores how the businesses around the Holy Shrine were impacted by the pandemic. Two datasets of Instagram posts (one gathered data from March 14th to April 10th, 2020, when Holy Shrine and nearby shops were closed, and one extracted data from the same period in 2019), two word embedding models – aimed at vectorizing associated caption of each post, and two neural networks – multi-layer perceptron and convolutional neural network – were employed to classify CIPs in 2019. Among the scenarios defined for the 2019 CIPs classification, the results revealed that the combination of MLP and CBoW achieved the best performance, which was then used for the 2020 CIPs classification. It was found out that the fraction of CIPs to total Instagram posts has increased from 5.58% in 2019 to 8.08% in 2020, meaning that business owners were using Instagram to increase their sales and continue their commercial activities to compensate for the closure of their stores during the pandemic. Moreover, the portion of non-commercial Instagram posts (NCIPs) in total posts has decreased from 94.42% in 2019 to 91.92% in 2020, implying the fact that since the Holy Shrine was closed, Mashhad residents and tourists could not visit it and take photos to post on their Instagram accounts.

One of the most important issues for libraries in the age of digital transformation is digital content management from the perspective of resource digitization. The purpose of this article is to examine the challenges of implementing and implementing digital libraries in Iran and to provide solutions to solve it. In this study, using a review of the literature research, the challenges of building and launching digital libraries in Iran were investigated. Then, with using likert scale,the challenge ranked by experts in the field of digital library construction in Iran. These challenges were weighted using the AHP Analytic Hierarchy method. Finally, a framework was devised to solve them. Based on findings there are issues and challenges in the field of human force, copyright and legal issues, information security and protection, confusion in the organization of digital resources, lack of budget, difficulty in accessing digital library software, and its distance from global standards. To solve the challenges of building a digital library, it is necessary to pay attention to the following solutions: Holding training courses to get acquainted with the operation of digital devices, Fair or free use of works, Use of global data identification system, Set an adequate budget for digitizing resources, Creating constructive interactions between experts in the field of digital libraries inside and outside countries to transfer lessons learned globally.

Purpose The purpose of this paper is to review and analyze the management, pattern of “Digital Content” based on research published and represent an overview of subjects, methodologies, contexts, and other features which are highlighted in these works. Method: In this study, the systematic literature review was undertaken by retrieving the studies related to “Digital Content Management” published in February 2021 on several databases. Various information of papers collected became the basis for synthesis and analysis. In addition, all the studies were qualitatively evaluated for measuring the validity of researches to present in the synthesis by Evidence-Based Librarianship (EBL) critical appraisal checklist. Findings: the systematic review presents a systematic framework based on research' items in the “Digital Content Management” field. The items include research methodology, a data-gathering tool, and other elements. Conclusion: The hidden subjects in the literature review were extracted and classified. Finally, based on these classes and other extracted information, the goal of the paper was achieved.

Purpose: Relatively much research has been done into theorizing and its importance. However, the number of studies related to the understanding of contexts is very negligible and so far no framework has been provided including indicators and evaluation methods. This research has been done with the aim of achieving the indicators related to theorizing and subsequently presenting a formula to measure the potential and theorizing capacity of scientific institutes. Method: Library and field methods have been used to collect information. Data were first collected through a checklist and then through the AHP questionnaire. The questionnaire was distributed among experts and the AHP method was used to analyze the data. Expert Choice software was used to analyze the data obtained from the AHP questionnaire. Findings: The results indicate that the individual index is 9 times more important than the non-individual index in the theorizing process. Pairwise comparison of individual sub-indices showed that "awareness of theorizing" and "research ability” have an equal portion in theorizing. The "coherence of personality traits" is sextuple as important as the "awareness of theorizing”. "Coherence of personality traits" up to sextuple "research ability" can be considered important in the theorizing process.  Pairwise comparison of non-individual index sub-indices showed that "communication level" is twice as important as "institutional index level". However, the “effect level" is twice as important as the "communication level". The "communication level" is 7 times more important than the "management index level". The "effect level" can be considered 7 times more important than the "institutional index level". "Institutional index level" is quadruple more important than "management index level". The "effect level" is extremely important compared to the "management index level". Conclusion: Although theorizing is done by a researcher or a group of researchers, ultimately, it is a collective matter, or at least, several components are involved in its formation. Theorizing is a coherent, dynamic, purposeful, and thoughtful practice whose results can lead researchers to recognize the credible generalizable relationship between causes and effects. Finally, the formula Tp= (0.9I + 0.1NI) was presented, which can be used to assess the capacity of theorizing in institutes.

Purpose :  E-tourism is the most cost-effective way to communicate with the target market and to publish information. It is also an easy way for customers to buy travel products. Recent advances in mobile communication technologies are leading the way for the next generation of travel commercial applications. Location-based services are among these facilities available on the mobile platform. These services use mobile tracking techniques to provide users with relevant information at the right time, based on their current location. This study investigates the LBSs value in tourism and their effect on destination brand equity components and tourist behavior. Method : The sample of the study totaled 210 visitors from Isfahan as one of the popular tourist cities in the world. The research hypotheses were analyzed using Smart-PLS3 software. Findings : The research findings revealed that LBSs have positive and significant effects on destination brand image, destination brand loyalty and WOM. Conclusion : As this paper is among the first studies investigating the positive effect of LBS on destination brand equity components and tourist behavior, the findings are beneficial for DMOs and their marketing managers. Due to their potential to create a unique travel experience as well as to personalize and tailor tourism services based on tourists' needs and personal preferences, LBS provide them with significant added value.