ترتیب بر اساس: جدیدترینپربازدیدترین
فیلترهای جستجو: فیلتری انتخاب نشده است.
نمایش ۴۱ تا ۶۰ مورد از کل ۲٬۸۶۶ مورد.
۴۱.

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)

کلیدواژه‌ها: Digital Transformation Success factors Economic performance conceptual framework Structural Equation Modeling Sequential explanatory design

حوزه‌های تخصصی:
تعداد بازدید : ۱۲۴ تعداد دانلود : ۹۳
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.
۴۲.

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)

کلیدواژه‌ها: Information seeking behavior Knowledge Gap Theory Qom University Socio-economic status

حوزه‌های تخصصی:
تعداد بازدید : ۱۳۸ تعداد دانلود : ۱۰۴
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.
۴۳.

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

کلیدواژه‌ها: brand awareness brand recognition Customer Attraction Electronic Service Marketing mental image

حوزه‌های تخصصی:
تعداد بازدید : ۱۰۴ تعداد دانلود : ۹۳
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.
۴۴.

Evaluation of the effectiveness of implementing artificial intelligence in the Google Advertising service(مقاله علمی وزارت علوم)

کلیدواژه‌ها: efficiency Artificial Intelligence Advertising Service Google Ads Advertising

حوزه‌های تخصصی:
تعداد بازدید : ۷۶ تعداد دانلود : ۵۰
This paper examines the effectiveness of implementing artificial intelligence (AI) in the Google Ads advertising service. The study analyzes the advantages and disadvantages of AI integration, focusing on attribution models and end-to-end analytics. The findings show that traditional metrics, such as CTR, CPC, and ROI, used to evaluate advertising campaign performance, exhibit significant statistical errors when AI tools are applied, with errors reaching up to 35%, exceeding typical business margins. A comparative analysis in the construction industry highlights discrepancies of 10% to 35% between traditional and AI-driven models. The study concludes that universal AI algorithms often fail to account for industry-specific dynamics, leading to inaccurate evaluations. The practical significance of this research lies in proposing an alternative approach that combines traditional evaluation methods with AI-based tools, offering a more reliable framework for assessing campaign effectiveness
۴۵.

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

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

حوزه‌های تخصصی:
تعداد بازدید : ۱۴۳ تعداد دانلود : ۱۱۰
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.
۴۶.

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

کلیدواژه‌ها: Deep-Learning CNN Heart-Disease Prediction Cardiovascular disease Accuracy

حوزه‌های تخصصی:
تعداد بازدید : ۲۳۱ تعداد دانلود : ۱۳۸
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.
۴۷.

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

کلیدواژه‌ها: Lung cancer Convolutional Neural Network (CNN) Histopathological Images Transfer Learning Lung Cancer Detection

حوزه‌های تخصصی:
تعداد بازدید : ۱۶۱ تعداد دانلود : ۱۵۳
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.
۴۸.

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

کلیدواژه‌ها: Social media marketing purchase intention brand awareness

حوزه‌های تخصصی:
تعداد بازدید : ۲۱۳ تعداد دانلود : ۱۶۲
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.
۴۹.

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

کلیدواژه‌ها: Personal Health Record stakeholder theory Blockchain technology

حوزه‌های تخصصی:
تعداد بازدید : ۱۶۵ تعداد دانلود : ۹۸
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.
۵۰.

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

کلیدواژه‌ها: Academic Libraries Information Services Internet Services V-Sat Satellite

حوزه‌های تخصصی:
تعداد بازدید : ۱۳۰ تعداد دانلود : ۸۶
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.
۵۱.

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

کلیدواژه‌ها: adoption technology adoption model EHRM

حوزه‌های تخصصی:
تعداد بازدید : ۱۱۵ تعداد دانلود : ۱۰۹
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.
۵۲.

Enterprise Resilience Behavioral Management in a Decision Support System(مقاله علمی وزارت علوم)

کلیدواژه‌ها: Management Business economy Opportunities Enterprise Resource Decision Making

حوزه‌های تخصصی:
تعداد بازدید : ۵۶ تعداد دانلود : ۴۳
This article identifies the factors for managing the behavioral resilience of a firm in the face of exogenous shocks in the economy. Its main hypothesis is that each enterprise has certain resilience competencies that need to be strengthened and developed in the future. The paper identifies 17 key competencies that determine the behavioral resilience of an enterprise. Using the method of factor analysis, a model of behavioral resilience is built, which is used to support management decision-making.  The factor model of behavioral resilience SELF&IRR includes 7 competencies: S – Speed of response to processes and events; E – Endurance; L – Leadership; F – Flexibility; I – Innovation, ideas, ingenuity; R – Responsibility; R – Resource capabilities. This model can be used to determine the level of behavioral resilience, based on which a decision is made on the choice of the enterprise's strategy. Depending on the level of behavioral resilience, the management staff decides on the choice of a certain strategy (systemic transformation; structural transformation; local changes in the firm's competencies; adaptation of competencies to changes), which is aimed at strengthening the firm's viability and development. The successful execution of a chosen strategy enhances the firm's capacity to withstand current and future threats while actively seeking or purposefully creating new opportunities for development.
۵۳.

طراحی الگوی حکمرانی دانش بنیان در دستگاه های اجرایی(مقاله علمی وزارت علوم)

کلیدواژه‌ها: تصمیم گیری مبتنی بر داده حکمرانی دانش حکمرانی هوشمند سازمان یادگیرنده

حوزه‌های تخصصی:
تعداد بازدید : ۱۳۳ تعداد دانلود : ۱۰۶
امروزه حکمرانی دانش بنیان می تواند، اقدامی ارزشمند و تاثیرگذار در جهت بهبود عملکرد نهادهای دولتی و خصوصی باشد. لذا، رعایت اصول حکمرانی دانش بنیان می تواند به بهبود وضعیت سازمان ها و دستگاه های اجرایی و جامعه کمک نماید و سبب استفاده حداکثری از توانایی افراد، کاهش چالش های پیش روی جامعه شده و درنتیجه رفاه عمومی جامعه را به دنبال داشته باشد. این پژوهش با روش کیفی از نوع نطریه داده بنیاد با رویکرد اشتراوس و کوربین انجام شده است جامعه آماری این پژوهش از خبرگان آشنا با موضوع تشکیل شده که با 12 نفر از آن ها با استفاده از روش نمونه گیری قضاوتی و گلوله برفی مصاحبه عمیق، صورت گرفت. تحلیل داده ها به کمک نرم افزار MAXQDA انجام شده است. تعداد 302 کد باز شناسایی شده در قالب 46 زیر مقوله و 18 مقوله اصلی قرار گرفته اند که در 6 طبقه اصلی به عناوین شرایط علی شامل تسهیم، خلق، حفظ و نگهداری دانش و شایستگی مدیران و شرایط زمینه ای شامل ایجاد زیرساخت، ساختار سازمانی و فرهنگ سازمان است. شرایط واسطه ای در برگیرنده مولفه های قوانین و رویه ها، ارزیابی عملکرد، شفافیت، تیم سازی، سیستم جذب و نگهداری، سیستم برنامه ریزی و اداره است. مولفه های قابلیت پویای نوآوری و استراتژی توسعه گرا جز شرایط راهبردی است. پیامدهای حکمرانی دانش بنیان با ارتقای عملکرد جامعه، عملکرد سازمان و عملکرد کارکنان مشخص می شود. شرایط محوری نیز حکمرانی دانش بنیان است. رویکرد داده بنیاد پژوهش و طراحی الگو در دستگاه های اجرایی جنبه منحصر به فرد بودن دارد و می تواند تسهیل گر پیاده سازی حکمرانی دانش بنیان در دستگاه های اجرایی کشور باشد
۵۴.

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

کلیدواژه‌ها: mobile learning perceived ease of use perceived usefulness subjective norm Behavioral Intention

حوزه‌های تخصصی:
تعداد بازدید : ۱۷۸ تعداد دانلود : ۱۰۵
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.
۵۵.

الگوهای ذهنی اشتراک گذاری دانش در کارکنان نسل Z در یک مرکز آموزشی – پژوهشی دفاعی(مقاله علمی وزارت علوم)

کلیدواژه‌ها: دانش اشتراک گذاری دانش کارکنان نسل Z روش Q

حوزه‌های تخصصی:
تعداد بازدید : ۸۸ تعداد دانلود : ۸۹
امروزه اشتراک گذاری کارآمد دانش شانس بقای سازمان ها را افزایش داده و به عنوان یک منبع راهبردی برای بهبود بهره وری سازمان ها در نظر گرفته می شود. هدف از انجام این پژوهش شناسایی ذهنیت های اشتراک گذاری دانش در بین کارکنان نسل Z در یک مرکز آموزشی پژوهشی دفاعی در دانشگاه صنعتی مالک اشتر است. پژوهش حاضر ازنظر هدف کاربردی، به لحاظ روش توصیفی، از حیث جمع آوری داده ها کمی و کیفی (آمیخته) و ازنظر افق زمانی نیز مقطعی است و تا آنجائیکه محققین بررسی نموده اندپژوهشی با این عنوان انجام نشده است. جامعه آماری تحقیق متشکل از 20 نفر از کارکنان نسل Z (متولدین سال 1373 به بعد) و چند نفر از اعضای هیئت علمی دانشگاه بودند که به صورت هدفمند انتخاب شده اند. برای تحلیل داده های آماری گردآوری شده از روش شناسی کیو استفاده شده است. در تحقیق حاضر پس از بررسی ادبیات موضوع و انجام مصاحبه با چند خبره دانشگاهی گزاره های متفاوتی نسبت به موضوع پژوهش (36 شاخص) شناسایی و استخراج گردیدند. سپس جداول کیو توسط 20 نفر از مشارکت کنندگان در تحقیق تکمیل گردیدند و داده های جمع آوری شده به روش تحلیل عاملی اکتشافی تحلیل شد. هفت ذهنیت و دیدگاه مختلف بانام های حس خوب اشتراک گذاری دانش ، رهبری دانش محور ، کار تیمی ، نظام پاداش دهی ، ادراک منافع نسبی ، رضایت شغلی و تعهد سازمانی شناسایی کشف و شناسایی گردید که جمعاً 77 درصد واریانس کل را تبیین و پوشش می دهند.
۵۶.

تحلیل کارکرد فناوری فراجهان در نگهداشت و جذب دانش با استفاده از رویکرد تلفیقی مدل سازی ساختاری تفسیری و معادلات ساختاری (مورد مطالعه: صنعت برق کشور)(مقاله علمی وزارت علوم)

کلیدواژه‌ها: مدیریت دانش نگهداشت دانش جذب دانش فناوری متاورس هوش مصنوعی

حوزه‌های تخصصی:
تعداد بازدید : ۷۰ تعداد دانلود : ۹۵
با توجه به اهمیت مدیریت دانش در بهبود عملکرد صنایع مختلف از جمله صنعت برق در زمینه-هایی همچون کاهش خطرات ایمنی، استفاده از سیستم های پیچیده و ...، نگهداشت و جذب دانش به منظور ارتقاء سطح مهارت کارکنان ضروری است. هدف از انجام این پژوهش بررسی چگونگی کارکرد فناوری فراجهان در نگهداشت و جذب دانش در صنعت برق کشور است. به منظور انجام پژوهش حاضر در ابتدا 12 دستاورد حاصل از کارکرد فناوری فراجهان با مرور پیشینه پژوهش شناسایی و به تأیید خبرگان و مدیران صنعت برق کشور رسید. در ادامه با استفاده از روش نمونه-گیری قضاوتی و نظرخواهی از 15 نفر از خبرگان دانشگاهی و مدیران صنعت برق کشور، نحوه ارتباط میان دستاوردهای حاصل از کارکرد فناوری فراجهان شناسایی و مدل مفهومی چگونگی کارکرد فناوری فراجهان در نگهداشت و جذب دانش در صنعت برق کشور با استفاده از رویکرد مدل سازی ساختاری تفسیری ارائه شد. مدل سازی ساختاری تفسیری دارای کاستی هایی از جمله اتکاء به شهود و قضاوت شرکت کنندگان است. این مشکل اعتبار رویکرد مدل سازی ساختاری تفسیری را تحت تأثیر قرار می دهد. برای حل این مشکل و به منظور اعتبارسنجی مدل ارائه شده حاصل از رویکرد مدل سازی ساختاری تفسیری، از رویکرد مدل سازی معادلات ساختاری و نرم افزار Smart PLS استفاده شد. با استفاده از روش نمونه گیری در دسترس تعداد 350 پرسشنامه میان کارکنان و مدیران صنعت برق کشور توزیع و تعداد 307 پرسشنامه بازگشت داده شد. نتایج حاصل از این پژوهش نشان داد که فناوری فراجهان از طریق قابلیت هایی همچون هوش مصنوعی محیطی، شبیه سازی، پردازش زبان طبیعی، استفاده از شبکه های اجتماعی، تحلیل داده ها، سازماندهی دانش، همکاری، به اشتراک گذاری دانش، دسترسی به منابع گسترده، آموزش تعاملی، ذخیره سازی دانش و به روز رسانی دانش در نگهداشت و جذب دانش نقش اساسی دارد.
۵۷.

Risk Assessment and Determining the Content Production Risk Index of Governmental Digital Libraries in Tehran(مقاله علمی وزارت علوم)

کلیدواژه‌ها: content production Governmental Digital Libraries in Tehran Risk Assessment Risk Identification Risk Management

حوزه‌های تخصصی:
تعداد بازدید : ۱۵۷ تعداد دانلود : ۱۱۷
Purpose: This research aimed to identify and evaluate the risks of content production in the governmental digital libraries of Tehran.Method: 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.Findings: 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).Conclusion: 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.
۵۸.

طراحی و آزمون مدل موفقّیت آموزش الکترونیکی در صنعت آموزش(مقاله پژوهشی دانشگاه آزاد)

کلیدواژه‌ها: آموزش الکترونیکی عوامل حیاتی موفقیت نظریه داده بنیاد مدل سازی معادلات ساختاری

حوزه‌های تخصصی:
تعداد بازدید : ۴۵ تعداد دانلود : ۵۸
هدف اصلی این پژوهش طراحی و آزمون مدل موفقیت آموزش الکترونیکی در صنعت آموزش است. این مطالعه با استفاده از رویکرد کیفی نظریه داده بنیاد و رویکرد کمّی مدل سازی معادلات ساختاری انجام گرفت. صاحب نظران، اساتید دانشگاه رشته مدیریت، مدیران مؤسسات آموزش الکترونیکی و افراد خبره جامعه آماری را تشکیل دادند و تعداد 8 نفر از این افراد به عنوان نمونه آماری در بخش کیفی و تعداد 70 نفر از این افراد در بخش کمّی انتخاب شدند. به منظور گردآوری داده ها در بخش کیفی از مصاحبه و در بخش کمّی از پرسشنامه استفاده شده است. برای انجام تحلیل های مذکور از نرم افزار MAXQDA نسخه 2020 در بخش کیفی و نرم افزار مدل سازی معادلات ساختاری با استفاده از نرم افزار Smart PLS نسخه 4 در بخش کمّی استفاده شد. یافته های کیفی نشان داد شرایط علّی الگوی موفقیت آموزش الکترونیکی از 33 کد اولیه و 6 مقوله فرعی؛ شرایط زمینه ای شامل 24 کد اولیه و 5 مقوله فرعی؛ شرایط مداخله گر از 36 کد اولیه و 8 مقوله فرعی تشکیل شده است. راهبردهای الگوی موفقیت آموزش الکترونیکی از مقوله های فرعی توسعه جغرافیایی کسب و کار، نقش برنامه ریزی در آموزش الکترونیکی، لزوم بهره گیری از دستاورد های روز، بکارگیری آموزش الکترونیکی در کاهش هزینه ها، عوامل فرهنگی و آموزش الکترونیکی، الزامات آموزش الکترونیکی، استراتژی کسب و کار، طراحی بستر اصولی آموزش الکترونیکی، الزامات موفقیت آموزش الکترونیکی، توانایی کسب وکارهای الکترونیکی می شود. همچنین، یافته ها نشان داد پیامدهای الگوی موفقیت آموزش الکترونیکی شامل مزایای آموزش الکترونیکی، تعامل در محیط های یادگیری الکترونیکی، نقش آموزش الکترونیکی در کسب و کارهای آموزشی، جامعه و آموزش الکترونیکی، پتانسیل آموزش الکترونیکی، آموزش الکترونیکی و کسب و کار و توصیه برای آموزش الکترونیکی می شود. یافته های کمّی نیز نشان داد مدل پژوهش به خوبی برازش شده است.
۵۹.

The Impact of Entrepreneurship-Based Branding in the Cyberspace on the Performance of Startups(مقاله علمی وزارت علوم)

کلیدواژه‌ها: branding digital space Entrepreneurship Startups

حوزه‌های تخصصی:
تعداد بازدید : ۱۲۶ تعداد دانلود : ۹۱
Purpose: The key to startup success is a brand-centric approach that combines brand leadership strategy with creative, targeted, and cost-effective business methods. In the brand-centered approach, all company processes revolve around the development of brand identity in continuous interaction with customers, to create long-term competitive advantages for the brand. The purpose of this research is to investigate the impact of entrepreneurship-based branding in cyberspace on the performance of startups.Method: The current research is of an applied type and with a mixed method and a sequential qualitative-quantitative approach, first qualitative and then quantitative data was collected and analyzed. Due to the small size of the population, sampling was not done and all 52 people were examined. Smart PLS software was used to analyze quantitative data and test research hypotheses and implement structural equation modeling. Confirmatory factor analysis was also used to test the significance of the relationships and the fit of the obtained measurement models. To analyze the data and test the research hypotheses, the structural equation modeling method was applied.Findings: Qualitative findings showed that the branding model based on entrepreneurship in cyberspace includes six main themes and 18 sub-themes. Causal factors include risk-taking categories, business situation analysis, and brand content capabilities; Background factors include the categories of brand organizational structure, market orientation, and brand orientation; intervening conditions include the categories of legal infrastructure, customer characteristics, and economic uncertainty; the central category includes the three categories of brand vision depiction, brand integrity and entrepreneurial capabilities; strategies including three categories of brand positioning, strategic planning for branding and value creation; And the consequences include three categories of competitive advantage, strategic brand development and brand identity development. Quantitative findings showed that the causal conditions of branding with a score of 26.719 has a positive and significant effect on entrepreneurial branding; Entrepreneurial branding with a score of 4.873 on value-based brand positioning; And value-based positioning with a score of 29.960 has a positive and significant effect on the performance of startups.Conclusion: The results indicate that the branding model based on entrepreneurship in cyberspace and its impact on the performance of startups includes six main themes and 18 sub-themes, and branding based on entrepreneurship in cyberspace has a positive and significant effect on the performance of startups.
۶۰.

Clinical Healthcare Applications: Efficient Techniques for Heart Failure Prediction Using Novel Ensemble Model(مقاله علمی وزارت علوم)

کلیدواژه‌ها: Machine Learning Heart failure Cardiovascular Diseases Ensemble learning Healthcare

حوزه‌های تخصصی:
تعداد بازدید : ۲۱۲ تعداد دانلود : ۱۴۲
Heart failure is a severe medical ailment that significantly impacts patients’ well-being and the healthcare system. For improved results, early detection and immediate treatment are essential. This work aims to develop and evaluate predictive models by applying sophisticated ensemble learning techniques. In order to forecast heart failure, we used a clinical dataset from Kaggle. We used the well-known ensemble techniques of bagging and random forest (RF) to create our models. With a predicted accuracy of 82.74%, the RF technique, renowned for its versatility and capacity to handle complex data linkages, fared well. The bagging technique, which employs several models and bootstrapped samples, also demonstrated a noteworthy accuracy of 83.98%. The proposed model achieved an accuracy of 90.54%. These results emphasize the value of group learning in predicting cardiac failure. The area under the ROC curve (AUC) was another metric to assess the model’s discriminative ability, and our model achieved 94% AUC. This study dramatically improves the prognostic modeling for heart failure. The findings have extensive implications for clinical practice and healthcare systems and offer a valuable tool for early detection and intervention in cases of heart failure.

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