درخت حوزه‌های تخصصی

مدیریت دانش و IT

حوزه‌های تخصصی
ادبیات اقتصاد تاریخ تربیت بدنی جغرافیا حقوق روانشناسی زبان شناسی علم اطلاعات و دانش‌شناسی علوم اجتماعی علوم اسلامی علوم انسانی علوم تربیتی علوم سیاسی فلسفه و منطق مدیریت مطالعات زنان هنر و معماری
اخبار مدیریت تئوری های مدیریت گروههای ویژه مدیریت آموزشی مدیریت استراتژیک مدیریت بازرگانی مدیریت دانش و IT مدیریت دولتی مدیریت سازمانی و منابع انسانی مدیریت صنعتی مدیریت مالی – حسابداری نقد و بررسی کتاب
پیش بینی، اجرا و ارزیابی تکنولوژی تکنولوژی و توسعه حقوق مالکیت سرمایه گذاریهای خارجی و انتقال تکنولوژی سیستم های پشتیبانی تصمیم گیری سیستمهای خبره کلیات مدلهای انتقال تکنولوژی مدیریت دانش مدیریت فناوری اطلاعات منطق فازی و هوش مصنوعی
ترتیب بر اساس: جدیدترینپربازدید‌ترین
فیلتر های جستجو: فیلتری انتخاب نشده است.
نمایش ۲۱ تا ۴۰ مورد از کل ۲٬۸۴۳ مورد.
۲۱.

The Influence of Social Media Marketing Activities on Purchase Intention: A Study of the E-Commerce Industry(مقاله علمی وزارت علوم)

نویسنده:
منبع: Journal of Information Technology Management , Volume ۱۶, Issue ۱, ۲۰۲۴ 201 - 216

کلید واژه ها: Social media marketing purchase intention brand awareness

حوزه های تخصصی:
تعداد بازدید : ۹۵ تعداد دانلود : ۷۱
This paper sought to examine the impact of perceived Social Media Marketing Activities (SMMAs) on customer purchase intention via brand awareness in an online context. An online questionnaire was used to collect data from 188 samples. The data were analyzed using the structural equation modeling approach, and the research hypotheses were examined using SEM. The study measured SMMAs through personalization, customer community, and live video. The results revealed that SMMAs were insignificant towards brand awareness and purchase intention. The result also stated that brand awareness does not mediate the relationship between SMMA and purchase intention. However, brand awareness was found to affect purchase intention positively. The current study introduces the stimulus–organism–response model as a theoretical support to examine SMMAs of e-commerce to customers' purchase intention via brand awareness.
۲۲.

An Accurate Prediction Framework for Cardiovascular Disease Using Convolutional Neural Networks(مقاله علمی وزارت علوم)

نویسنده:
منبع: Journal of Information Technology Management , Volume ۱۶, Issue ۱, ۲۰۲۴ 27 - 43

کلید واژه ها: Deep-Learning CNN Heart-Disease Prediction Cardiovascular disease Accuracy

حوزه های تخصصی:
تعداد بازدید : ۹۰ تعداد دانلود : ۶۲
Cardiovascular-Diseases (CVD) are a principal cause of death worldwide. According to the World-Health-Organization (WHO), cardiovascular illnesses kill 20 million people annually. Predictions of heart-disease can save lives or take them, depending on how precise they are. The virus has rendered conventional methods of disease anticipation ineffective. Therefore, a unified system for accurate illness prediction is required. The study of disease diagnosis and identification has reached new heights thanks to artificial intelligence. With the right kind of training and testing, deep learning has quickly become one of the most cutting-edge, reliable, and sustaining technologies in the field of medicine. Using the University of California Irvine (UCI) machine-learning (ML) heart disease dataset, we propose a Convolutional-Neural-Network (CNN) for early disease prediction. There are 14 primary characteristics of the dataset that are being analyzed here. Accuracy and confusion matrix are utilized to verify several encouraging outcomes. Irrelevant features in the dataset are eliminated utilizing Isolation Forest, and the data is also standardized to enhance accuracy. Accuracy of 98% was achieved by employing a deep learning technique.
۲۳.

Identification of Stakeholders in Personal Health Records Using Blockchain Technology: A Comprehensive Review(مقاله علمی وزارت علوم)

نویسنده:
منبع: Journal of Information Technology Management , Volume ۱۶, Issue ۲, ۲۰۲۴ 181 - 205

کلید واژه ها: Personal Health Record stakeholder theory Blockchain technology

حوزه های تخصصی:
تعداد بازدید : ۱۵ تعداد دانلود : ۱۶
Leveraging supplementary technology such as Blockchain has the potential to alter the stakeholders involved in a system. Paying attention to stakeholders is one of the main pillars of developing a system. Evidence has shown that Blockchain can solve existing challenges and add new capabilities. These actions will change the stakeholders of PHR. If a value is different for everyone, at the first stage, stakeholders should be identified, and that is our goal in this study. The research adhered to the guidelines outlined in the PRISMA statement. To this end, the study utilized databases including MEDLINE, ScienceDirect, and Google Scholar for English language articles, while the "iranjournals.nlai.ir" database was accessed for Persian language articles. Finally, 35 articles were chosen from searching databases, and six extra articles were selected from reviewing the final articles' references. Stakeholders were categorized into 15 groups. The patient (individual) was identified as the most frequent stakeholder (41 times), and infrastructure providers and the token exchange market were mentioned once each. The usage type is categorized into four groups: direct user interaction, data user, impact user, and financial beneficiaries, comprising six, eight, four, and four stakeholders, respectively. Patients (individuals) use the four groups, and health care providers, policymakers, hospitals, and the government each use two groups. Intelligent contracts are neglected in PHR, which can significantly impact the motivation and creation of incentives for using different stakeholders. The grouping presented here can be used in the preparation of the business model of PHR based on Blockchain. Data has the most usage for stakeholders and strengthens and supports investments in technologies such as Blockchain as an infrastructure for creating data markets, new business models, and creating value.
۲۴.

Designing an Adoption Model for Electronic Human Resource Management in Service-Oriented Organizations: A Case Study of Tehran Municipality(مقاله علمی وزارت علوم)

نویسنده:
منبع: Journal of Information Technology Management , Volume ۱۶, Issue ۲, ۲۰۲۴ 91 - 111

کلید واژه ها: adoption technology adoption model EHRM

حوزه های تخصصی:
تعداد بازدید : ۱۰ تعداد دانلود : ۱۳
This study aims to develop an adoption model tailored for service-oriented organizations and then evaluate its effectiveness within the specific context of Tehran Municipality, Iran's foremost service-oriented institution. Utilizing a mixed-method research approach integrating qualitative and quantitative methodologies, this study delineated the dimensions, categories, and indicators pertinent to the adoption of Electronic Human Resource Management (EHRM) systems in service-oriented organizations. Qualitative methodologies were employed to identify and develop the adoption model, which was subsequently evaluated within Tehran Municipality using a quantitative approach. In the qualitative segment of this study, in-depth interviews were conducted using a snowball sampling technique until theoretical saturation was achieved. For the quantitative phase, a sample of 310 experts affiliated with Tehran Municipality's EHRM system was surveyed. Structural equation modeling and Smart PLS 4.0 software were employed for data analysis. Ultimately, this research extracted five dimensions, 14 categories, and 94 indicators for the proposed adoption model. Notably, experts accorded the highest priority to the technological dimension in the adoption model, with specific emphasis on “adaptive architecture, security and privacy of employees, trialability and reliability, organizational citizenship behavior, organizational dynamic capabilities, digital Leadership Policy and Actions, cloud computing, etc…”, as pivotal factors in EHRM adoption. The organizational dimension assumed the second-highest priority, while the individual dimension was assigned a third-place ranking. Micro and macro-environmental factors followed in subsequent priority order.
۲۵.

Unveiling Critical Drivers for Effective Digital Transformation Leadership and its Influence on Corporate Economic Performance: A Conceptual Model and Empirical Analysis in the Landscape of Emerging Economies(مقاله علمی وزارت علوم)

نویسنده:
منبع: Journal of Information Technology Management , Volume ۱۶, Issue ۲, ۲۰۲۴ 132 - 160

کلید واژه ها: Digital Transformation Success factors Economic performance conceptual framework Structural Equation Modeling Sequential explanatory design

حوزه های تخصصی:
تعداد بازدید : ۱۲ تعداد دانلود : ۹
This paper aims to conceptualize the success factors of a digital transformation (DT) strategy and analyze its impact on a company's economic performance. We explore the concepts that affect the field of DT definition and the key drivers that lead to successful DT. Through these key drivers considered as success factors, we propose a research framework linking these drivers to the DT strategy and then corporate economic performance in emerging markets. To test the research model empirically and provide a contextualized interpretation of the results, we adopted a sequential explanatory design. Initially, we performed a quantitative study through a survey among companies listed on the Casablanca Stock Exchange in Morocco. We then analyzed the collected data using the structural equation method. Next, to explain the results, we conducted a qualitative analysis through interviews with semi-structured questions. The findings show that in an emerging economy context such as Morocco, placing the customer at the core of the DT strategy, aligning the organization with the DT strategy, adopting a value system imbued with DT values, and establishing an operational roadmap to drive the change can enhance the company’s digital transformation. These drivers contribute to 59.5% of the implementation of the DT strategy. Driving a DT strategy has a significant impact on companies' economic performance, contributing to 21.5% of their commercial and financial outcomes. This study highlights that the maintenance of a "phygital" business model, which mixes digital and physical business models, and the lack of human resources involvement in the DT process are specific to the emerging market context studied.
۲۶.

Analyzing the Relationship Between Dimensions of Mental Image, Brand Awareness, and Brand Recognition in Customer Attraction Considering Electronic Service Marketing(مقاله علمی وزارت علوم)

نویسنده:
منبع: International Journal of Digital Content Management, Vol. ۵, No. ۸, Winter & Spring ۲۰۲۴ 22 - 46

کلید واژه ها: brand awareness brand recognition Customer Attraction Electronic Service Marketing mental image

حوزه های تخصصی:
تعداد بازدید : ۱۰ تعداد دانلود : ۸
Purpose: In the present research   the relationship between the dimensions of mental image, brand awareness and brand recognition in attracting customers, has been investigated and analyzed with   marketing of electronic services (the case study of Iran Postbank) especially taken into account. E-marketing has greatly facilitated the banking operation.Method: This research is applied in terms of purpose and descriptive-survey and correlational as regards the nature of data collection. The statistical population of the research includes managers and senior supervisors of Iran Postbank. The sample size of the research is 168 people, and simple sampling method was used, and 117 people were selected for the research. A questionnaire was used to collect data. The validity of the questionnaire was confirmed through content validity and its reliability using Cronbach's alpha coefficient. To analyze the data, structural equation modeling was used with the help of PLS ​​software.Findings: The results of this research showed that the variables of mental image, brand awareness and brand recognition have a significant and positive impact on the marketing of electronic services, also the marketing of services has a positive and significant impact on customer attraction and the marketing of electronic banking services will increase customer attraction.Conclusion: Given the increasing competition among Iranian banks and the challenge of attracting new customers and keeping current customers, as discussed in this research, brand awareness is one of the most important factors affecting customer attraction in the bank.
۲۷.

Feasibility of Using V-SAT Satellites in Library Services(مقاله علمی وزارت علوم)

نویسنده:
منبع: International Journal of Digital Content Management, Vol. ۵, No. ۸, Winter & Spring ۲۰۲۴ 206 - 228

کلید واژه ها: Academic Libraries Information Services Internet Services V-Sat Satellite

حوزه های تخصصی:
تعداد بازدید : ۱۱ تعداد دانلود : ۸
Purpose: The main purpose of this research is to assess the feasibility of using VSAT satellites in the information services of university libraries.Method: The research method is a survey using the TOPSIS model, which indicates that the optimal method of providing the Internet is the method that has the greatest distance from negative factors and the least distance from positive factors. The opinions of user organizations, i.e. academic libraries and information centers, have been examined to clarify the necessity of using this method as well as its characteristics and advantages compared to other ways of providing the Internet.Findings: The findings show that VSAT satellite internet can have better conditions for providing services compared to other services such as ADSL, optical fiber, Wi-Fi and Wi-MAX. Also, their assessment determined that VSAT satellite internet is currently the best way to provide internet based on the criteria of service, support, cost, trust and quality, and ranks second in criteria such as security, confidentiality and service. In conclusion, the priority of solutions to provide library internet using TOPSIS analysis is: VSAT service; Optical fiber; ADSL service; Wi-Max services and wireless services.Conclusion: The results indicate that the VSAT satellite network, with advantages in the use of Internet services by libraries, plays an important role in improving the quality of these services.
۲۸.

Exploring the Nexus of Big Data Capabilities, Business Model Innovation, and Firm Performance in Uncertain Environments: A Systematic Review(مقاله علمی وزارت علوم)

نویسنده:
منبع: Journal of Information Technology Management , Volume ۱۶, Issue ۳, ۲۰۲۴ 132 - 149

کلید واژه ها: Big Data Capabilities Business Model Innovation Firm Performance Environmental uncertainty Micro small and Medium Enterprises (MSMEs)

حوزه های تخصصی:
تعداد بازدید : ۱۵ تعداد دانلود : ۱۱
This paper provides a systematic review of the literature on big data capabilities, business model innovation, firm performance, and environmental uncertainty. It aims to establish a foundation for theoretical modeling, research proposition refinement, and the overall research framework by meticulously examining the theoretical backgrounds of existing studies and identifying research gaps. An initial search yielded 1,360 articles, which were filtered to remove duplicates and irrelevant studies, resulting in 475 articles for final analysis. These articles were classified into three main categories: the relationship between big data capabilities and business model innovation, the impact of business model innovation on firm performance, and the integrated relationship involving environmental uncertainty. Additionally, it examines the mediating role of business model innovation on firm performance as well as the moderating effect of environmental uncertainty on these relationships. Finally, the paper formulates research hypotheses and discusses identified research gaps, establishing a solid groundwork for methodological discussions in future research and contributing to the advancement of knowledge in the field.
۲۹.

The Role of Socio-economic Status in Information Seeking Behavior Based on the Knowledge Gap Theory: A Case Study of Qom University, Iran(مقاله علمی وزارت علوم)

نویسنده:
منبع: International Journal of Digital Content Management, Vol. ۵, No. ۸, Winter & Spring ۲۰۲۴ 272 - 303

کلید واژه ها: Information seeking behavior Knowledge Gap Theory Qom University Socio-economic status

حوزه های تخصصی:
تعداد بازدید : ۱۳ تعداد دانلود : ۹
Purpose: Economic and social status play a prominent role in many human activities and their  function is accentuated in the theory of the knowledge gap. According to the idea, the knowledge of the people with higher socio-economic status increases compared to those with lower socio-economic status. The purpose of this study was to determine the role of socio-economic status (based on knowledge gap theory) in the information-seeking behavior of fellow members of staff at  Qom University.Method: The study was an applied research in terms of purpose and in terms of strategy and data collection was correlational. The population consisted of 761 university employees. Based on Cochran’s formula the sample of the study included 255 employees. A researcher-made questionnaire was used to collect data. Spearman and X2 statistical tests were applied to analyze data.Findings: People who have a higher socio-economic status (with higher employment, income and education levels) are more motivated to search and obtain information, and there is a significant relationship between the components of individuals' socio-economic status and the type of the used information resources. Socio-economic status affects the criteria for evaluating information resources, and people with higher rate use various evaluation criteria while assessing the information. People with socio-economic status use various and different channels to obtain information, thus, there is a positive and significant relationship between the use of search engines and meta-search engines, internal and external databases, conference papers, library RSS, specialized social networks, consultation with librarians and technical blogs, and their socio-economic status.Conclusion: The social and economic status explains and predicts the information-seeking behavior of the staff and the results confirmed the theory of knowledge gap. Prediction of the facilities required for searching and seeking information in organizations and making them accessible to all human resources can help provide fair access to information for the better part of society and reduce the knowledge gap.
۳۰.

Comparative Study on Different Machine Learning Algorithms for Neonatal Diabetes Detection(مقاله علمی وزارت علوم)

نویسنده:
منبع: Journal of Information Technology Management , Volume ۱۶, Issue ۱, ۲۰۲۴ 5 - 26

کلید واژه ها: Voting Classifiers Meta-Classification Technique Diabetes Risk Prediction Biomedical Clinical Risk Factors Random Forest Logistic regression Gradient Boosting Support Vector Machines

حوزه های تخصصی:
تعداد بازدید : ۷۹ تعداد دانلود : ۵۶
This paper gives a performance analysis of multiple vote classifiers based on meta-classification methods for estimating the risk of diabetes. The study's dataset includes a number of biological and clinical risk variables that can result in the development of diabetes. In the analysis, classifiers like Random Forest, Logistic Regression, Gradient Boosting, Support Vector Machines, and Artificial Neural Networks were used. In the study, each classifier was trained and evaluated separately, and the outcomes were compared to those attained using meta-classification methods. Some of the meta-classifiers used in the analysis included Majority Voting, Weighted Majority Voting, and Stacking. The effectiveness of each classifier was evaluated using a number of measures, including accuracy, precision, recall, F1-score, and Area under the Curve (AUC). The results show that meta-classification techniques often outperform solo classifiers in terms of prediction precision. Random Forest and Gradient Boosting, two different classifiers, had the highest accuracy, while Logistic Regression performed the worst. The best performing meta-classifier was stacking, which achieved an accuracy of 84.25%. Weighted Majority Voting came in second (83.86%) and Majority Voting came in third (82.95%).
۳۱.

Breast Cancer Classification through Meta-Learning Ensemble Model based on Deep Neural Networks(مقاله علمی وزارت علوم)

نویسنده:
منبع: Journal of Information Technology Management , Volume ۱۶, Issue ۱, ۲۰۲۴ 61 - 87

کلید واژه ها: Deep-Learning Meta-Learning EL CNN Breast-Cancer Classification

حوزه های تخصصی:
تعداد بازدید : ۸۵ تعداد دانلود : ۶۳
Predicting the development of cancer has always been a serious challenge for scientists and medical professionals. The prompt identification and prognosis of a disease is greatly aided by early-stage detection. Researchers have proposed a number of different strategies for early cancer detection. The purpose of this research is to use meta-learning techniques and several different kinds of convolutional-neural-networks(CNN) to create a model that can accurately and quickly categorize breast cancer(BC). There are many different kinds of breast lesions represented in the Breast Ultrasound Images (BUSI) dataset. It is essential for the early diagnosis and treatment of BC to determine if these tumors are benign or malignant. Several cutting-edge methods were included in this study to create the proposed model. These methods included meta-learning ensemble methodology, transfer-learning, and data-augmentation. With the help of meta-learning, the model will be able to swiftly learn from novel data sets. The feature extraction capability of the model can be improved with the help of pre-trained models through a process called transfer learning. In order to have a larger and more varied dataset, we will use data augmentation techniques to produce new training images. The classification accuracy of the model can be enhanced by using meta-ensemble learning techniques to aggregate the results of several CNNs. Ensemble-learning(EL) will be utilized to aggregate the results of various CNN, and a meta-learning strategy will be applied to optimize the learning process. The evaluation results further demonstrate the model's efficacy and precision. Finally, the suggested model's accuracy, precision, recall, and F1-score will be contrasted to those of conventional methods and other current systems.
۳۲.

Efficient NetB3 for Enhanced Lung Cancer Detection: Histopathological Image Study with Augmentation(مقاله علمی وزارت علوم)

نویسنده:
منبع: Journal of Information Technology Management , Volume ۱۶, Issue ۱, ۲۰۲۴ 98 - 117

کلید واژه ها: Lung cancer Convolutional Neural Network (CNN) Histopathological Images Transfer Learning Lung Cancer Detection

حوزه های تخصصی:
تعداد بازدید : ۸۲ تعداد دانلود : ۷۰
Cancer is an abnormal cell growth that occurs uncontrollably within the human body and has the potential to spread to other organs. One of the primary causes of mortality and morbidity for people is cancer, particularly lung cancer. Lung cancer is one of the non-communicable diseases (NCDs), causing 71% of all deaths globally, and is the second most common cancer diagnosed worldwide. The effectiveness of treatment and the survival rate of cancer patients can be significantly increased by early and exact cancer detection. An important factor in specifying the type of cancer is the histopathological diagnosis. In this study, we present a Simple Convolutional Neural Network (CNN) and EfficientNetB3 architecture that is both straightforward and efficient for accurately classifying lung cancer from medical images. EfficientnetB3 emerged as the best-performing classifier, acquiring a trustworthy level of precision, recall, and F1 score, with a remarkable accuracy of 100%, and superior performance demonstrates EfficientnetB3’s better capacity for an accurate lung cancer detection system. Nonetheless, the accuracy ratings of 85% obtained by Simple CNN also demonstrated useful categorization. CNN models had significantly lower accuracy scores than the EfficientnetB3 model, but these determinations indicate how acceptable the classifiers are for lung cancer detection. The novelty of our research is that less work is done on histopathological images. However, the accuracy of the previous work is not very high. In this research, our model outperformed the previous result. The results are advantageous for developing systems that effectively detect lung cancer and provide crucial information about the classifier’s efficiency.
۳۳.

Validation of the Pattern of Digital Marketing Capabilities Affecting Product Development(مقاله علمی وزارت علوم)

نویسنده:
منبع: International Journal of Digital Content Management, Vol. ۵, No. ۸, Winter & Spring ۲۰۲۴ 183 - 205

کلید واژه ها: Abadan Petrochemical Company Accreditation Digital Marketing product development

حوزه های تخصصی:
تعداد بازدید : ۱۲ تعداد دانلود : ۸
Purpose: Due to the importance of creating competitive advantages, the present study was conducted with a view to validating the pattern of digital marketing capabilities affecting the development of new Abadan petrochemical products. The present research is applied in terms of purpose and has been done with a survey method.Method: The type of research is quantitative. The data collection tool was a questionnaire with 50 questions. Confirmatory factor analysis was used for the validation of the questionnaire as well as Cronbach's alpha coefficient.Findings: Findings showed that the value of confirmatory factor analysis (t-value) for all 5 paths of the model is greater than 1.96 and the significance of the test is less than 0.05, so with a 95% confidence level causal factors affect the main category (marketing capabilities for new product development) by 0.705; The main category (marketing capabilities for new product development) has an impact on strategies of 0.379; Intervening factors affect strategies by 0.129; Underlying factors affect strategies by 0.457; Finally, strategies have an impact on outcomes of 0.849Conclusion: The results show that the innovation, customer orientation, marketing technologies improvement, research and development capabilities and communication capabilities are confirmed. Also they emphasized as causal dimensions and the basis of digital marketing. Finally, the board diversity is confirmed as the underlying dimensions and platform of digital marketing.
۳۴.

Mobile Learning Adoption: Using Composite Model Measurement Invariance to Assess Gender Differences(مقاله علمی وزارت علوم)

نویسنده:
منبع: Journal of Information Technology Management , Volume ۱۶, Issue ۲, ۲۰۲۴ 35 - 61

کلید واژه ها: mobile learning perceived ease of use perceived usefulness subjective norm Behavioral Intention

حوزه های تخصصی:
تعداد بازدید : ۱۲ تعداد دانلود : ۸
This study investigates Ghanaian students' adoption of Mobile Learning (ML) by extending the technology acceptance model with a subjective norm variable. Specifically, this study focuses on the moderating effect of gender using the Measurement Invariance of Composite Models for the analysis. The study used a purposive sampling technique to collect the data for the study from sec-ond-year diploma students at the University of Professional Studies in Accra. SmartPLS 3.3.3 was used to analyze the data from 330 respondents. The findings of the study suggest that perceived ease of use, perceived usefulness, and subjective norm have a significant influence on the behavior-al intention to adopt mobile learning for the complete data set. In addition, the results suggest that the impact of the subjective norm was not significant for female students but for male students. Also, the impact of perceived ease of use and perceived usefulness on behavioral intention were insignificant. Furthermore, the findings suggest that behavioral intention influences students' actual use of mobile devices to access learning materials. Finally, gender moderates the relationship be-tween subjective norms and behavioral intention. The findings demonstrate group heterogeneity, therefore, investigations on technology adoption must always incorporate group dynamics to un-derstand how different groups respond to its adoption. The findings of the study hold significance for both policy and research implications.
۳۵.

The evolution and trends in IT governance research: A bibliometric analysis(مقاله علمی وزارت علوم)

نویسنده:
منبع: Journal of Information Technology Management , Volume ۱۶, Issue ۲, ۲۰۲۴ 112 - 131

کلید واژه ها: Information technology governance Scopus Harzing’s Publish or Perish VOSviewer bibliometrics

حوزه های تخصصی:
تعداد بازدید : ۱۴ تعداد دانلود : ۹
Information technology (IT) governance has become a crucial area of study because of the growing corpus of research in the area. This study aims to conduct both a literature review and bibliometric analysis focusing on three specific research questions: (RQ1) examining the trends in publications and citations, (RQ2) recognizing the most impactful countries, journals, and authors, and (RQ3) investigating popular research areas and trending topics in IT governance. Data surrounding IT governance research were obtained through the Scopus database, with a total of 1,510 documents published from 1995 to February 2023. The extracted documents were analysed using Harzing’s Publish or Perish, VOSviewer, and Bibliometrics sub-tool Biblioshiny software. Publications have continued to rise since 2004 when the United States has had the greatest influence over IT governance publication and research collaboration, while Indonesia is the most prolific. Primary sources on IT governance research were taken from conference proceedings related to IT topics. As for authors, Pereira R from Portugal is at the top of the list while Van Grembergen W from Belgium is the most influential. This study is the first to identify and propose themes and current hotspots in IT governance research which serves as a guide for future researchers and professionals.
۳۶.

Effectiveness of AI-Driven Knowledge Management System in Improving the Performance of Banking Sector in Jordan(مقاله علمی وزارت علوم)

نویسنده:
منبع: Journal of Information Technology Management , Volume ۱۶, Issue ۱, ۲۰۲۴ 182 - 200

کلید واژه ها: artificial intelligence (AI) Banking sector Customer Satisfaction Jordan Knowledge Management service quality

حوزه های تخصصی:
تعداد بازدید : ۹۴ تعداد دانلود : ۵۷
The present research examines the benefits of implementing knowledge management (KM) principles in the Jordanian banking sector to enhance performance. The study emphasizes the significance of Artificial Intelligence (AI) and how Jordanian banks utilize it to improve the quality of customer service they provide. This study targets managers at all levels and focuses on the Jordanian banking sector as its research environment. A questionnaire is created to gather information from a random sample to achieve the research's objectives. The study involves a sample of 250 managers. Additionally, the research adopts a descriptive methodology, and SPSS is used to analyze the data. The statistical findings provide robust evidence for the importance of performance expectations, social influence, and perceived risk in influencing consumer intentions. Marketers and decision-makers within the banking industry can leverage these insights to shape their long-term strategies for effectively utilizing and maximizing AI technology in the banking sector. Furthermore, by providing policymakers and practitioners of Jordanian commercial banks with insight into the variables influencing user satisfaction, the findings will help these complex institutions operate more effectively.
۳۷.

A Fuzzy Inference System to Evaluate Maturity of Green Information Technology(مقاله علمی وزارت علوم)

نویسنده:
منبع: Journal of Information Technology Management , Volume ۱۶, Issue ۲, ۲۰۲۴ 1 - 15

کلید واژه ها: Green Information Technology Green IT Maturity Maturity Evaluation Fuzzy inference system

حوزه های تخصصی:
تعداد بازدید : ۱۶ تعداد دانلود : ۱۲
Green information technology is in the spotlight for organizations, helping them save money by using information technology (IT) to achieve the highest efficiency and thus reduce environmental impacts. One of the ways that can help organizations planning for deploying green IT is to evaluate green information technology maturity (GITM). Previous studies have referred to various criteria for green IT evaluation, most of which are qualitative criteria that are difficult to measure and evaluate in ambiguous conditions. The main objective of this study is to identify crucial criteria that affect the GITM level and to design a fuzzy inference system to assess the GITM level in any organization. While using a Mamdani Inference system, inputs can be verbal expressions or crisp values, and the output shows the level of maturity of green information technology. Since green IT knowledge is not modeled in previous studies, modeling it in the current study is a valuable step for organizations confused about various factors they should consider for going green. The main system criteria are the conditions of the data center, office environment, work practice, procurement, and corporate citizenship. Due to the generality of the model used for the knowledge base system development, organizations can use this system for the green IT maturity level determination. The presented inference system helps organizations understand their status of being IT green and plan for the following steps to accomplish their desired maturity level. The proposed inference system has been tested, validated, and used to determine the maturity level of Tehran municipality.
۳۸.

ارائه الگوی مدیریت دانش در دانشگاه ها(مقاله علمی وزارت علوم)

نویسنده:
منبع: مدیریت دانش سازمانی سال ۷ تابستان ۱۴۰۳ شماره ۲۵ 75 - 106

کلید واژه ها: مدیریت دانش دانشگاه طرح دانشی جریان دانشی تحول دانشی ارزیابی دانش مدل

حوزه های تخصصی:
تعداد بازدید : ۲۱ تعداد دانلود : ۱۸
پژوهش حاضر با هدف ارائه الگوی مدیریت دانش در دانشگاه ها صورت گرفته است. این پژوهش از نظر روش شناسی از نوع مطالعات کاربردی و به لحاظ روش در زمره پژوهش های کیفی و از نوع فراترکیب است. برای این منظور از طریق جستجو در پایگاه های اطلاعاتی علمی داخلی و خارجی مرکز اطلاعات و مدارک علمی ایران (ایرانداک)، پایگاه جهاد دانشگاهی، پایگاه استنادی جهان اسلام، وب آوساینس، پروکوئست، اسکوپوس، گوگل اسکالر و ساینس دایرکت استفاده شد. تعداد 786 مقاله با توجه به استراتژی جستجوی تعریف شده، استخراج شد که در پایان فرایند بررسی، 41 منبع برای تحلیل نهایی انتخاب شدند. روایی محتوایی این اسناد از روش ابزار ارزیابی حیاتی (CASP) احراز گردید. در مرحله تجزیه و تحلیل اسناد منتخب، زیر مؤلفه ها و کدهای باز این اسناد با روش تحلیل محتوای کیفی استخراج و سپس ذیل مؤلفه های اصلی و ابعاد پژوهش دسته بندی و ترکیب گردید. جهت اعتبار یافته ها از روش مقایسه نظر پژوهشگران با فرد خبره استفاده گردید که ضریب توافق کاپا 783/0 بود. نتایج نشان داد با توجه به ماهیت دانشگاه می توان چهار مقوله اصلی برای الگوی مدیریت دانش در دانشگاه ها مد نظر قرار داد.؛ طرح چشم انداز دانشی، جریان دانشی، تحول دانشی و ارزیابی دانشی. همچنین نتایج نشان داد چهار عامل فرهنگ، فناوری، محیط و ذینفعان نقش مهمی در موفقیت الگوی مدیریت دانش برمبنای بافت زمینه ای مدیریت دانش در دانشگاه دارند. در یک جمع بندی کلی می توان گفت مدیریت دانش در دانشگاه ها محدود به زمان و برنامه خاصی نیست و با پایان چهار مرحله این الگو، مدیریت دانش وارد مرحله طرح دانشی جدید خواهد شد.
۳۹.

شناسایی و اعتبارسنجی پیشایندها و پیامدهای احتکار دانش توسط کارکنان دانشی(مقاله علمی وزارت علوم)

نویسنده:
منبع: مدیریت دانش سازمانی سال ۷ تابستان ۱۴۰۳ شماره ۲۵ 107 - 132

کلید واژه ها: دانش سازمانی احتکار دانش تمایل به احتکار دانش رفتارهای احتکار دانش مدیریت تمایل به رفتارهای احتکار دانش

حوزه های تخصصی:
تعداد بازدید : ۱۸ تعداد دانلود : ۱۲
احتکار دانش توسط کارکنان دانشی، سازمان را از منابع بسیار ارزشمندی محروم می سازد و می تواند پیامدهای مستقیم و غیرمستقیم فراوانی در پی داشته باشد. پژوهش حاضر با هدف شناسایی و اعتبارسنجی پیشایندها و پیامدهای احتکار دانش توسط کارکنان دانشی انجام شده است. این پژوهش کاربردی با رویکرد آمیخته متوالی اکتشافی انجام گردیده است. شناسایی عوامل با رویکرد کیفی و با استفاده از روش تحلیل مضمون صورت پذیرفته است. مشارکت کنندگان این مرحله شامل اعضای هیئت علمی و خبرگان فنی منتخب نهاجا بوده اند که برای پیمایش دیدگاه آنان، از مصاحبه نیمه ساختاریافته و برای اعتبارسنجی عوامل شناسایی شده در مرحله کمی از روش مدل سازی معادلات ساختاری (تحلیل عاملی تاییدی) استفاده شده است. به این منظور پرسشنامه ای براساس عوامل احصاء شده طراحی و در میان خبرگان فنی منتخب به صورت هدفمند توزیع شد تا روابط بین شاخص ها و مقوله ها ارزیابی شود. داده های مرحله کمی با استفاده از نرم افزار Smart Pls نسخه 3 مورد تحلیل قرار گرفتند. یافته ها نشان داد پیشایندهای احتکار دانش شامل عوامل فردی (تمایلات و علایق، دغدغه ها و نگرانی ها، انگیزه ها، صفات و ویژگی های فردی)، عوامل میان فردی (عوامل ارتباطی)، عوامل سازمانی (عوامل شغلی، فرهنگ سازمانی، عوامل مدیریتی، عوامل ساختاری)، عوامل فراسازمانی (عوامل اجتماعی، فرهنگی و عوامل اقتصادی) بوده است. همچنین پیامدهای احتکار دانش نیز به دو دسته پیامدهای فردی و سازمانی طبقه بندی شدند. تحلیل های کمی نیز معنی داری ارتباط بین شاخص ها و مولفه های مورد نظر را تایید کردند. نتایج این پژوهش می تواند برای مدیریت نمودن پدیده احتکار دانش، شناخت مفیدی در این زمینه فراهم سازد. شناسایی همزمان عوامل موثر بر بروز احتکار دانش در سطوح چهارگانه پیش گفته و همچنین پیامدهایی که این عارضه می تواند برای کارکنان دانشی و سازمان در پی داشته باشد می تواند شناخت موثری برای مدیریت این رفتار مخرب سازمانی فراهم سازد. توجه همزمان به ریشه ها و پیامدهای فردی و سازمانی این عارضه وجه تمایز برجسته این پژوهش به شمار می رود.
۴۰.

The Moroccan Health Data Bank: A Proposal for a National Electronic Health System Based on Big Data(مقاله علمی وزارت علوم)

نویسنده:
منبع: Journal of Information Technology Management , Volume ۱۶, Issue ۱, ۲۰۲۴ 79 - 97

کلید واژه ها: National Electronic Health System Big Data Health Information System survey Moroccan Health Data Bank MHDB

حوزه های تخصصی:
تعداد بازدید : ۹۲ تعداد دانلود : ۵۹
This work serves to propose a national electronic health system based on the Big Data approach. First of all, we assessed the practice of health information systems (HIS) in Morocco and their obstacles. We performed a survey that was founded on 24 questions to specify the necessary details on this topic. This study shows that there is a primary need for the establishment of an HIS that facilitates the control, analysis, and management of health data in Morocco. For this reason, we have proposed the implementation of the Moroccan Health Data Bank (MHDB). This system will be based on powerful big data technologies that save, manage, and process health data with greater efficiency. The information present in this proposed system can provide the necessary resources for several actors to exploit this wealth, which is embodied in this massive data. We have developed a general description of the MHDB, its components, its conceptual architecture, and an example of a use case.

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