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
فیلترهای جستجو: فیلتری انتخاب نشده است.
نمایش ۱۴۱ تا ۱۶۰ مورد از کل ۲٬۹۱۷ مورد.
۱۴۱.

Digital Tools of Marketing Strategies in Hotel Branding(مقاله علمی وزارت علوم)

نویسنده:
منبع: Journal of Information Technology Management , Volume ۱۵, Issue ۱, ۲۰۲۳ 62 - 88

کلیدواژه‌ها: Digital Marketing Digital tools marketing strategies brand Hotel Branding

حوزه‌های تخصصی:
تعداد بازدید : ۵۴۸
The condition of the hotel's competitiveness is a strong brand. The introduction of digital marketing in the strategy of hotel branding creates new opportunities for hotels when interacting with guests through digital channels. The purpose of this study is to develop theoretical and practical measures to improve the effectiveness of marketing strategies in hotel branding using digital tools. To achieve the goal of the study was conducted research on targeted branding some of the largest hotel chains. The results of the analysis showed that in the process of branding at each stage the corresponding goals have achieved by means of advertising, marketing, public relations management, personnel selection, corporate culture.This study substantiates the main tools of the strategy of the Digital Marketing and Sales. The brands need to constantly monitor changes in market positions and audience sentiment using all the features and channels. The priorities should be implemented by performing key tasks, in particular such astimely measurements as far as brand experience has a positive effect on customer satisfaction and loyalty.
۱۴۲.

رابطه مهارت های مدیریت کوانتومی ادراک شده با اینرسی سازمانی: نقش میانجی سرمایه فکری و یادگیری سازمانی (مورد مطالعه: کارکنان دانشگاه کاشان)(مقاله علمی وزارت علوم)

نویسنده:
منبع: مدیریت دانش سازمانی سال ششم پاییز ۱۴۰۲ شماره ۲۲ 123 - 148

کلیدواژه‌ها: مهارت های مدیریت کوانتومی اینرسی سازمانی سرمایه فکری یادگیری سازمانی

حوزه‌های تخصصی:
تعداد بازدید : ۳۱۳ تعداد دانلود : ۲۷۲
تحقق رشد و توسعه پایدار دانشگاه ها و موسسات آموزش عالی می تواند به کمک مهارت های مدیریت کوانتومی، یادگیری سازمانی و سرمایه فکری در دانشگاه ها ایجاد گردد. زیرا دانشگاه ها، مکان هایی برای تولید، سازماندهی و انتقال دانش اند که در این فرایند نقش کارکنان به عنوان سرمایه های فکری و انسانی، مشهود و حیاتی است. بر همین اساس، هدف پژوهش حاضر، بررسی تاثیر مهارت های مدیریت کوانتومی ادراک شده بر کاهش اینرسی سازمانی با نقش میانجی سرمایه فکری و یادگیری سازمانی بود. نوع پژوهش، توصیفی- همبستگی و جامعه آماری شامل کارکنان دانشگاه کاشان بود که از میان آن ها و از طریق جدول مورگان 150 نفر به عنوان نمونه انتخاب شدند. ابزار پژوهش، چهار پرسشنامه مهارت های مدیریت کوانتومی، اینرسی سازمانی، سرمایه فکری و یادگیری سازمانی بود. پایایی پرسشنامه ها از طریق ضریب آلفای کرونباخ برای مهارت کوانتومی 70/0، اینرسی سازمانی 75/0، سرمایه فکری 87/0 و یادگیری سازمانی 90/0 برآورد شد. تحلیل داده ها در سطح توصیفی و استنباطی با استفاده از نرم افزارهای آماری SPSS و اسمارت پی ال اس انجام شد. نتایج نشان داد میانگین متغیرهای مهارت های کوانتومی، سرمایه فکری و یادگیری سازمانی، بالاتر از نمره ملاک و میانگین اینرسی سازمانی، پایین تر از نمره ملاک بود. ضرایب مسیر نشان داد سرمایه فکری با (51/0-=Beta)، مهارت کوانتومی با (26/0-=Beta) و یادگیری سازمانی با (50/0-=Beta) روی اینرسی سازمانی، تاثیر منفی و معنادار دارد. مهارت کوانتومی با (42/0=Beta) روی سرمایه فکری و با (45/0=Beta) روی یادگیری سازمانی تاثیر مثبت و معنادار دارد. به علاوه نقش میانجی یادگیری سازمانی و سرمایه فکری در تاثیر مهارت های کوانتومی در کاهش اینرسی سازمانی، تایید شد.
۱۴۳.

Energy-Efficient and Reliable Deployment of IoT Applications in a Fog Infrastructure Based on Enhanced Water Strider Algorithm(مقاله علمی وزارت علوم)

نویسنده:
منبع: Journal of Information Technology Management , Volume ۱۵, Issue ۴, ۲۰۲۳ 179 - 204

کلیدواژه‌ها: Internet of Things Fog Computing energy-efficient applications deployment courtship learning-based water strider algorithm Metaheuristic

حوزه‌های تخصصی:
تعداد بازدید : ۳۴۱ تعداد دانلود : ۲۱۹
Fog computing is considered a promising solution to minimize processing and networking demands of the Internet of things (IoT) devices. In this work, a model based on the energy consumption evaluation criteria is provided to address the deployment issue in fog computing. Numerous factors, including processing loads, communication protocols, the distance between each connection of fog nodes, and the amount of traffic that is exchanged, all have an impact on the re-search system's overall energy consumption. The power consumption for implementing each com-ponent on the fog node as well as the power consumption for information exchange between the fog nodes are taken into account when calculating each fog node's energy use. Each fog node's energy consumption is closely correlated to how its resources are used, and as a result, to the average normalized resource utilization of a fog node. When the dependent components are spread across two distinct fog nodes, the transfer energy is taken into account in the computations. The sum of the energy used for transmission and the energy used for computational resources is the entire amount of energy consumed by a fog node. The goal is to reduce the energy consumption of the fog network while deploying components using a novel metaheuristic method.  Therefore, this work presents an enhanced water strider algorithm (EWSA) to address the problem of deploying application components with minimum energy consumption. Simulation experiments with two scenarios have been conducted based on the proposed EWSA algorithm. The results show that the EWSA algorithm achieved better performance with 0.01364 and 0.01004 optimal energy consumption rates.
۱۴۴.

بررسی تاثیر دانش کنترل فرآیندی سازمان بر عملکرد برندهای ایرانی مبتنی بر خلاقیت فردی، مدیریت راهبردی برند و ابعاد دوسوتوانی(مقاله علمی وزارت علوم)

نویسنده:
منبع: مدیریت دانش سازمانی سال ششم پاییز ۱۴۰۲ شماره ۲۲ 179 - 214

کلیدواژه‌ها: عملکرد برند دانش کنترل فرآیند سازمان خلاقیت فردی دوسوتوانی مدیریت راهبردی برند

حوزه‌های تخصصی:
تعداد بازدید : ۳۰۱ تعداد دانلود : ۲۴۰
بسیاری از شرکت ها به دلیل عدم دانش کافی درباره مدیریت دانش سازمانی با چالش های گوناگونی مواجه هستند که در صورت عدم اتخاذ راهبردهای مناسب از دیگر رقبای خود عقب خواهند ماند. پس سازمان ها در تلاش هستند تا با استفاده از ابزارهای راهبردی همچون ابعاد دوسوتوانی، مدیریت راهبردی برند و کسب دانش سازمانی همچون دانش کنترل فرآیند سازمان (شش سیگما) به این چالش ها پاسخ مناسب دهند تا بتوانند عملکرد برند خود را بهبود بخشند. از این رو هدف پژوهش حاضر بررسی تاثیر دانش کنترل فرآیند سازمان بر عملکرد برندهای ایرانی مبتنی بر خلاقیت فردی، مدیریت راهبردی برند و ابعاد دوسوتوانی است. پژوهش حاضر به روش توصیفی- پیمایشی انجام شده است. جامعه آماری را شرکت های ایرانی که در شهر تهران در حال فعالیت هستند، تشکیل داده اند. نمونه گیری به صورت غیر احتمالی در دسترس، حجم نمونه با استفاده از فرمول کلاین به دست آمده است که این مقدار برابر است با 301. ابزار گردآوری داده نیز پرسشنامه که روایی آن به صوری و پایایی آن نیز مورد تایید قرار گرفته است. روش تجزیه و تحلیل داده ها با توجه به معادلات ساختاری و با استفاده از برنامه اسمارت پی ال اس انجام شده است. نتایج نشان داد که دانش کنترل فرآیندی سازمان تاثیر مثبت و معناداری بر ابعاد دوسوتوانی دارد. همچنین ابعاد دوسوتوانی نیز تاثیر مثبت و معناداری بر خلاقیت فردی و مدیریت راهبردی برند دارد. سرانجام پژوهش نشان داد که خلاقیت فردی و مدیریت راهبردی برند بر عملکرد برند تاثیر مثبت و معناداری دارد. سرانجام می توان بیان کرد که دانش کنترل فرآیند سازمان که یکی از فرآیندهای مدیریت دانش سازمانی است بر عملکرد برند تاثیرگذار است.
۱۴۵.

Computer Modeling of the Economy Dynamics of Ukraine, Taking into Account the Socio-Economic Clustering of Society(مقاله علمی وزارت علوم)

نویسنده:
منبع: Journal of Information Technology Management , Volume ۱۵, Issue ۴, ۲۰۲۳ 64 - 79

کلیدواژه‌ها: model Dynamics Equation Savings price Information technology Model Experimental Research

حوزه‌های تخصصی:
تعداد بازدید : ۳۳۳ تعداد دانلود : ۲۱۸
The object of the research is the economic dynamic of a depressed low-productive economy, as exemplified by the modern Ukrainian economy. With the purpose to analyze the main causes and consequences of such an economy, the characteristic tendencies of its functioning, activation of the processes of reformation and growth, there was developed the dynamic economic model with significant share of consumer import and export of raw materials, with the use of IT technology. The model also takes into account the socio-economic clustering of a society. It is formalized in the space of economic variables, which describes respectively the savings (liquid capital) of the main social groups involved in the economy, the prices of consumer products in the domestic and foreign markets, the price of exported raw materials for the exchange rate.The model is intended for qualitative analysis of the processes occurring in the economy described by it, and for conducting computational experiments on the basis of information technologies in simulation mode with its parameters, which allows to identify the most characteristic features of the object of the research. The results of experimental researches with the model allowed to establish the main periods of economic dynamics represented by the dynamic variables model, its specificity and social consequences for the society, which is characterized by a bimodal distribution of savings. There was investigation the dependence of the mode solution from it parameters which means in practice the dependence of economic dynamics from the change of individual conditions and factors of economic development.The obtained results are important for informational and analytical support of decision making processes in order to bring the being studied economy out of a low-productive state.
۱۴۶.

Predicting Court Judgment in Criminal Cases by Text Mining Techniques(مقاله علمی وزارت علوم)

نویسنده:
منبع: Journal of Information Technology Management , Volume ۱۵, Issue ۲, ۲۰۲۳ 204 - 222

کلیدواژه‌ها: Legal Judgment Prediction text mining Sentiment Analysis Emotions Analysis Machine Learning

حوزه‌های تخصصی:
تعداد بازدید : ۳۵۶ تعداد دانلود : ۲۶۴
What is clear is that judges usually judge cases based on their knowledge, experience, personality, and sentiment. Due to high pressures and stress, it may be difficult for them to carefully examine documents and evidence, which leads to more subjective judgments. Legal judgment prediction with artificial intelligence algorithms can benefit judicial bodies, legal experts, and litigants as well as judges. In this research, we are looking at predicting legal sentences in drug cases involving the purchase, possession, concealment, or transportation of illicit drugs, using machine learning methods, and the effect of sentiment and emotions in case texts on predicting the severity of whipping, fines, and imprisonment. So, the text documents of 6000 Persian drug-related cases were pre-processed and then the translation of the NRC Glossary of Emotions and sentiment was used to give each item a score for positive or negative sentiment and a score for emotion. Then machine learning methods were used for modeling. BERT, TFIDF+Adaboost, and Skipgram+LSTM+CNN methods had the highest accuracy, respectively. Also, evaluation criteria were analyzed in situations where sentiment scores, emotional scores, or both were used in the prediction process along with judicial texts. Finally, it was found that the use of sentiment and emotion scores improves the accuracy of legal judgment predictions for all three types of sentences and that sentiments have a greater impact on the accuracy of legal judgment predictions than emotions
۱۴۷.

Sustainable Decision-Making Model: Loyalty Points Through Email Communication With Real Option Valuation(مقاله علمی وزارت علوم)

نویسنده:
منبع: Journal of Information Technology Management , Volume ۱۵, Issue ۲, ۲۰۲۳ 46 - 58

کلیدواژه‌ها: Sustainable Investment Net Present Value Real Option Valuation

حوزه‌های تخصصی:
تعداد بازدید : ۳۶۴ تعداد دانلود : ۲۶۸
Nowadays, many companies cannot see the digital investment that plays a main role in the IR 4.0. Therefore, this study is investigating the study of investment as plays a critical role in an analytical activity to assess the benefits and costs of an investment and can be used as an investment justification. Traditional investment appraisal uses a financial approach where the benefits and costs are quantified in a certain amount of value for money and then compared in value. Moreover, this study is revealed the fruitful outcomes because revealed the investment valuation method with NPV (Net Present Value) and ROV (Real Option Valuation). ROV is an alternative to financial valuation. Seeding from the same philosophy as Financial Option, ROV has advantages in handling the flexibility, risk, and volatility that may occur from an investment. Thus, ROV is considered more able to appreciate an investment that has these characteristics. Investment appraisal with ROV is better able to appreciate investment than traditional financial methods, as shown by ROV's NPV results in the case of marketing with Loyalty points through email communication as a digital investment that are greater than ordinary NPV. This is because ROV can appreciate flexibility in investments that have choices of investment plans in the future
۱۴۸.

In-Depth Analysis of Various Artificial Intelligence Techniques in Software Engineering: Experimental Study(مقاله علمی وزارت علوم)

نویسنده:
منبع: Journal of Information Technology Management , Volume ۱۵, Issue ۳, ۲۰۲۳ 162 - 181

کلیدواژه‌ها: Software Engineering Defects Prediction Artificial Intelligence ML ANN DNN CNN

حوزه‌های تخصصی:
تعداد بازدید : ۳۵۴ تعداد دانلود : ۲۳۱
In this paper, we have extended our literature survey with experimental implementation. Analyzing numerous Artificial Intelligence (AI) techniques in software engineering (SE) can help understand the field better; the outcomes will be more effective when used with it. Our manuscript shows various AI-based algorithms that include Machine learning techniques (ML), Artificial Neural Networks (ANN), Deep Neural Networks (DNN) and Convolutional Neural Networks (CNN), Natural Language Processing (NLP), Genetic Algorithms (GA) applications. Software testing using Ant Colony Optimization (ACO) approach, predicting software maintainability with Group Method of Data Handling (GMDH), Probabilistic Neural Network (PNN), and Software production with time series analysis technique. Furthermore, data is the fuel for AI-based model testing and validation techniques. We have also used NASA dataset promise repository in our script. There are various applications of AI in SE, and we have experimentally demonstrated one among them, i.e., software defect prediction using AI-based techniques. Moreover, the expected future trends have also been mentioned; these are some significant contributions to the research
۱۴۹.

Multi- Objective Fuzzy Software Release Problem with learning capacities for fault detection and correction processes(مقاله علمی وزارت علوم)

نویسنده:
منبع: Journal of Information Technology Management , Volume ۱۵, Issue ۳, ۲۰۲۳ 17 - 30

کلیدواژه‌ها: Software Reliability Software Reliability Growth Models Fuzzy Release Time Problem Software Development Life Cycle

حوزه‌های تخصصی:
تعداد بازدید : ۳۴۳ تعداد دانلود : ۱۸۳
Without utilization of computer and its related technology, modern day’s life cannot be headway. It has also transformed into an incredibly troublesome task. The genuine challenges included are shorter life cycles, cost effective and higher software quality goals. Despite these challenges the software developers have started to give cautious thought on to the procedure to develop software, testing and reliability investigation of software and to reinforce the method. Developer most fundamental decisions related to the perfect release time of Software. Software development method incorporates a piece of vulnerabilities and ambiguities. We have proposed a multi objective software release time issue under fuzzy environment using a software reliability growth model to overcome such vulnerabilities and ambiguities. Further we have discussed the fuzzy environment framework to deal with the issue. Considering model and issue, we can especially address the issue of when to release software under these conditions. Results are illustrated numerically.
۱۵۰.

Automatic Prediction and Identification of Smart Women Safety Wearable Device Using Dc-RFO-IoT(مقاله علمی وزارت علوم)

نویسنده:
منبع: Journal of Information Technology Management , Volume ۱۵, Special Issue, ۲۰۲۳ 34 - 51

کلیدواژه‌ها: Smart Phone IoT GPS Sensors

حوزه‌های تخصصی:
تعداد بازدید : ۵۲۵ تعداد دانلود : ۲۶۹
Women’s safety is very important for around the world and many anti-women safety incidents are happened in current decades. Women's criminality is on the rise in India, particularly on an hourly basis 1000 criminal cases are filed according to Indraprastha and Kannon organizations. The Internet of Things (IoT) application will assist women in difficult situations. This design with Dc-RFO-IoT has an emergency application that can be useful to provide critical thinking and suggestions to women in rescue time. When the emergency soft button is pushed, notifications are sent to registered contacts as well as to women's hotline lines with GPS and GSM. A GPS sensor is also used to transmit the position with longitude and latitude. Every one minute, the receiver sends a link to your location, updating them on your current position. The attacker may shut the victim's mouth and prevent her from requesting assistance. The speaker on this gadget generates high-frequency sound. It will raise the alarm in the surrounding area and make the attacker fearful. This IoT with deep learning application is giving accurate outcomes and measures are improved. The performance measures like accuracy 93.43%, sensitivity 92.87%, Recall 98.34%, safety ratio 97.34%, and F measure 97,89% had been improved these are outperformance the methodology and compete with present models.
۱۵۱.

Metaheuristic Algorithms for Optimization and Feature Selection in Cloud Data Classification Using Convolutional Neural Network(مقاله علمی وزارت علوم)

نویسنده:
منبع: Journal of Information Technology Management , Volume ۱۵, Issue ۳, ۲۰۲۳ 99 - 112

کلیدواژه‌ها: feature selection Classification Cloud Computing Metaheuristic algorithm Convolution neural network

حوزه‌های تخصصی:
تعداد بازدید : ۳۸۸ تعداد دانلود : ۲۳۹
Cloud Computing has drastically simplified the management of IT resources by introducing the concept of resource pooling. It has led to a tremendous improvement in infrastructure planning. The major goals of cloud computing include maximization of computing resources with minimization of cost. But the truth is that everything has a price and cloud computing is no different. With Cloud computing there comes a number of security concerns which need to be addressed. Cloud forensics plays a vital role to address the security issues related to cloud computing by identifying, collecting and studying digital evidence in cloud environment. The aim of the research paper is to explore the concept of cloud forensic by applying optimization for feature selection before classification of data on cloud side. The data is classified as malicious and non-malicious using convolutional neural network. The proposed system makes a comparison of models with and without feature selection algorithms before applying the data to CNN. A comparison of different metaheuristics algorithms- Particle Swarm Optimization, Shuffled Frog Leap Optimization and Fire fly algorithm for feature optimization is done based on convergence rate and efficiency.
۱۵۲.

Investment Project Risk Simulation on the Use of Information Technologies as a Factor for Improving the Financial Safety of the Enterprise(مقاله علمی وزارت علوم)

نویسنده:
منبع: Journal of Information Technology Management , Volume ۱۵, Issue ۲, ۲۰۲۳ 14 - 24

کلیدواژه‌ها: Financial security risk Investment Investment project Simulation Modelling information technologies

حوزه‌های تخصصی:
تعداد بازدید : ۲۶۲ تعداد دانلود : ۱۸۷
The article justified the feasibility of an investment project by analysing the performance indicators while taking into account risk and uncertainty of the use of information technologies. The impact of the above calculations of the investment project results is due to the fact that the evaluation of the investment performance depends on the projected cash flows. The purpose of the article is to assess the impact of risks on making investment decisions using information technologies in order to increase the financial security of enterprises. Methodological and practical aspects of risk modelling of the investment project were further developed, using the Monte Carlo method, which allows to construct a model by minimizing data, as well as to maximize the value of data used in the model. This model involves the use of probability theory and random number tables. The results show the distribution of probabilities of the successful project variable and the coefficient of variation of the performance indicator, allowing the investor to take uncertainty into account when making a decision.
۱۵۳.

Range of Publications for E-Government Services: a Review and Bibliometric Analysis(مقاله علمی وزارت علوم)

نویسنده:
منبع: Journal of Information Technology Management , Volume ۱۵, Issue ۲, ۲۰۲۳ 164 - 182

کلیدواژه‌ها: Government Public e-services bibliometric analysis Network analysis E-government Researchv

حوزه‌های تخصصی:
تعداد بازدید : ۲۹۱ تعداد دانلود : ۱۸۹
With the rapid advancement of information and communication technology (ICT), public administration has adopted the concept of e-government. The academic literature produced many studies in the field of E-government (E-GOV) services, however, there is limited research on such services from the perspective of bibliometric and Network analysis. Therefore, this study aims to present a bibliometric and network analysis of the E-government services literature review obtained from the Scopus database, published between 2011 to 2021. This study uses a five-step method including (1) defining keywords, (2) initializing search outcomes, (3) inclusion and exclusion of some elements of the initial result, (4) compiling initial data statistics, and (5) undertaking analysis of data. The analysis starts by identifying more than 4,880 published articles related to E-government services published between 2011 and 2021. The study findings revealed that the highest number of publications on the E-government Service was in 2019 (102 articles), the top contributing affiliation was Brunel University London, the leading influential country was the USA, and the top contributing Source was Electronic Government. Furthermore, Lu J. occupied the first rank in the list of the most influential authors in terms of citations, while Weerakkody V. occupied the list of the top authors with high publications 20 papers. Likewise, this study showed that there is a collaboration among some authors. This research identified four research clusters by which researchers could be encouraged to widen the research of E-government services in the future. The bibliometric and network analysis of E-government services helps to graphically display the publication's assessment over time and identify domains of current studies' interests and potential directions for further studies. Finally, this research draws a roadmap for future investigation into E-government services.
۱۵۴.

Understanding Customer Satisfaction of Chatbots Service and System Quality in Banking Services(مقاله علمی وزارت علوم)

نویسنده:
منبع: Journal of Information Technology Management , Volume ۱۵, Special Issue, ۲۰۲۳ 142 - 152

کلیدواژه‌ها: Chatbots System quality service quality Customer Satisfaction

حوزه‌های تخصصی:
تعداد بازدید : ۵۵۹ تعداد دانلود : ۳۲۳
Chatbots is a computer software powered by artificial intelligence designed to replicate human interaction. It is also possible to refer to them as digital assistants that comprehend the capacities of humans. The bot interprets the user's intent, then processes their queries and provides prompt responses. Chatbots perform their most crucial role: to analyse and detect the intent of the user's request to extract relevant entities. AI-powered chatbots were introduced to improve operational efficiency, eventually saving organisational costs. This study investigates the role of system and service quality in customer satisfaction in banking services. One hundred forty-five usable data were used for analysis. Data were analysed using the Smart PLS. The results revealed that response time, usability, adaptability, empathy and responsiveness were insignificant for customer satisfaction. The result is important as it gave the insight point of customers with regards to the new services. Business organisations may need to introduce chatbots and perhaps make some improvements from time to time to provide better services.
۱۵۵.

Factors Influencing Electronic Brand Love and E-Loyalty(مقاله علمی وزارت علوم)

نویسنده:
منبع: Journal of Information Technology Management , Volume ۱۵, Issue ۲, ۲۰۲۳ 138 - 163

کلیدواژه‌ها: Customer loyalty Brand Love E-trust Customer Satisfaction service quality

حوزه‌های تخصصی:
تعداد بازدید : ۳۱۱ تعداد دانلود : ۲۶۵
This research aims to evaluate the effect of consumer traits, service quality, perception-based factors, customer satisfaction, and e-trust on electronic brand love and e-loyalty. In this study, a cross-sectional survey is conducted based on the questionnaire method to collect data from a sample of 300 customers of the Digikala Website in Isfahan, Iran. Structural equation modeling (SEM) is used to test the research hypotheses. According to the results, the service quality, consumer traits, and perception-based factors significantly affected customer satisfaction. Also, e-brand love had a significant impact on e-trust and e-loyalty; e-trust significantly affected e-brand love and e-loyalty, and e-brand love had a significant impact on e-loyalty. To the best of the authors’ knowledge, this research stands among the first to evaluate the factors affecting electronic brand love and loyalty. The evaluation of brand love on loyalty demonstrated that the greater the amount of love and fascination with a brand, the higher the positive effect on consumer loyalty. Overall, managers are recommended to do their best to eliminate misunderstandings and create an interest in consumers, ultimately leading to greater customer loyalty. Managers should pay more attention to brand experience dimensions, such as sensory marketing. In this regard, creating a brand community by e-retailers is very helpful.
۱۵۶.

Exploring the Influence of Microfinance on Entrepreneurship using machine learning techniques(مقاله علمی وزارت علوم)

نویسنده:
منبع: Journal of Information Technology Management , Volume ۱۵, Special Issue: EIntelligent and Security for Communication, Computing Application (ISCCA-۲۰۲۲), ۲۰۲۳ 139 - 156

کلیدواژه‌ها: Microfinance Entrepreneurship Principal Component Analysis (PCM) K-means Clustering K-Nearest Neighbors (KNN) Support Vector Machine (SVM)

حوزه‌های تخصصی:
تعداد بازدید : ۲۹۹ تعداد دانلود : ۱۴۴
Microfinance institutions in India provide a set of financial services to the economically weaker sections. Recently, a large number of microfinance institutions have emerged in India and they have favorable impact for poverty reduction. The impact of these institutions on entrepreneurship and society, needs to be explored in greater depth. The objective of this study is to apply machine learning techniques to explore this impact. The research uses a MIX dataset for three successive years, namely 2017, 2018, and 2019. This dataset comprises eight variables centered on gross loan portfolio. Principal Component Analysis (PCM) has been applied on the sample dataset for dimensionality reduction, resulting in two main components and each component consist of fraction from eight variables. Then, the sample dataset has been labelled with the help of clustering using K-means clustering technique. Further, classification models based on K-Nearest Neighbors (KNN) algorithm and Support Vector Machine (SVM) are applied to predict the appropriate category of entrepreneurship. The experiment result shows that the machine learning techniques have been found effective and useful tools for estimating the impact of microfinance on entrepreneurship in India.
۱۵۷.

Exploring the Perceived online Review Credibility and Management Response Influence on Purchase Intention(مقاله علمی وزارت علوم)

نویسنده:
منبع: Journal of Information Technology Management , Volume ۱۵, Issue ۲, ۲۰۲۳ 92 - 115

کلیدواژه‌ها: Online Review Perceived Credibility Management Response purchase intention

حوزه‌های تخصصی:
تعداد بازدید : ۲۹۲ تعداد دانلود : ۱۹۵
Online reviews play a crucial role in the consumer decision-making process in the glamping industry. Some reviews are misleading; therefore, users need to identify credible reviews to form objective opinions. This study examined dimensions of perceived review credibility and its influence on purchase intention within the glamping business. Online surveys were conducted with respondents with relevant travel experiences to examine the key credibility factors. Findings identified that review length, amount of detail, writing style, and travelers’ images; as well as mixed, moderate, and two-sided reviews influence perceived review credibility. It was also found that perceived review credibility influences purchase intention; that management response impacts perceived company credibility and purchase intention; and that personalized management response is valuable for the perceived credibility and purchase intention. A revised conceptual framework was developed to demonstrate the sources of perceived credible online reviews and the role of management responses in the reviews. In addition to the theoretical contribution, this study can have practical marketing implications for businesses when creating online promotional material for their products and engaging with customers
۱۵۸.

Assessment of E-Learning Readiness in the Primary Education Sector in Libya: A Case of Yefren(مقاله علمی وزارت علوم)

نویسنده:
منبع: Journal of Information Technology Management , Volume ۱۵, Special Issue, ۲۰۲۳ 153 - 165

کلیدواژه‌ها: Assessment E-Learning Readiness Primary Education

حوزه‌های تخصصی:
تعداد بازدید : ۳۹۷ تعداد دانلود : ۳۲۶
Over the last few decades, both developed and developing countries have an increasing trend in technology but with an enormous gap, particularly in the education sector. The e-learning following institutions can achieve benefits by evaluating their e-learning readiness through up-front analysis. Moreover, several models have been introduced to measure e-learning readiness for developed countries but these are not adequate for developing countries.  This paper introduced the e-learning readiness evaluation model for the developing country, Libya, by considering the primary education sector. Furthermore, this study examines the e-learning level of readiness in the staff of the primary school. The purpose of this study is to evaluate the e-learning readiness of staff by directing factors of e-learning readiness i.e. cultural readiness, content readiness, and technology readiness. To achieve this objective, this paper collects data through questionnaires, and respondents are 110 staff member of primary schools in Yefren, Libya. Therefore, the multivariate analysis shows that the e-learning readiness factors have e significant relationship with the adoption of e-learning because most teachers are well prepared and ready. Likewise, results indicate that technology is the most significant factor instead of other e-learning readiness factors. According to the views of staff, there should be more content development training required for primary school staff. Thus, the demographic structure is inadequate to enhance the e-learning but the staff is ready for e-learning. Consequently, this study emphasizes the significance of cultural readiness and its relationship with the adoption of e-learning in primary education sectors’ development in Yefren, Libya.
۱۵۹.

Strategic Role of E-Public Procurements in the Formation of Sustainable and Inclusive Economy(مقاله علمی وزارت علوم)

نویسنده:
منبع: Journal of Information Technology Management , Volume ۱۵, Issue ۱, ۲۰۲۳ 113 - 123

کلیدواژه‌ها: E-Public Procurement Public Procurement Strategy Digital Procurement Government Expenditures Sustainable Inclusive Economy

حوزه‌های تخصصی:
تعداد بازدید : ۴۶۴ تعداد دانلود : ۲۷۸
The purpose of this study is to develop proposals for the introduction of ecological, digital, professional, innovation and social public procurements in the national strategy on E-Public Procurement Reform and the strategy of procurements on the company-customer level. The relevance of this study is due to the need to ensure the development of “smart”, sustainable, inclusive economy, which will help reduce unemployment, poverty, facilitate access for people with disabilities to work, create opportunities for the education of young people and adults, stimulate innovations, meet expectations of citizens, solve environmental problems, carry out digital transformations taking into consideration the best world practices. The share of public procurements in expenditures of the state budget and gross domestic product of Ukraine, the dynamics of the procurement’s participants in the B2G segment is evaluated. In Ukraine, the largest share of expenditures falls on security and social protection, however, the prosperity index in these categories is critical (“red” zone). In order to form The E-Public Procurement Strategy, the best world practices of introducing innovative, environmental and social procurement criteria should be considered. Strategic directions of public procurement, namely – ecological, digital, professional, innovation and social, which provide sustainable and inclusive development of economy, are proposed.
۱۶۰.

Bibliometric Analysis of Government Venture Capital(مقاله علمی وزارت علوم)

نویسنده:
منبع: Journal of Information Technology Management , Volume ۱۵, Special Issue, ۲۰۲۳ 166 - 188

کلیدواژه‌ها: Venture Capital Government Investments Innovation Entrepreneurship

حوزه‌های تخصصی:
تعداد بازدید : ۴۲۸ تعداد دانلود : ۳۱۱
The bibliometric study aims to map and expand respective knowledge by establishing connections between important actors in academic research regarding the government venture capitals (GVCs). The scope is to analyze documents published on Scopus database starting from 2011 to 2020.  Accordingly, the United States (U.S.) is the top country in all categories with China catching up. Alperovych, Quas, and Colombo are top co-authors. On the other hand, Leleux, Grilli, Lerner and Cumming are prolific authors. Articles by Grilli and Li Y are two most cited documents. Investments, venture capital, economics, public policy, and government are most co-occurrence index keywords. Research policy, venture capital, and journal of technology transfer, journal of business venturing and small business economics are top sources of cited documents. Closely associated themes with respect to the study of GVCs are government role in venture capital support, effective Innovation financing policies, performance differential, performance of portfolio companies, funding challenges and investment strategy, decision making model and critical success factors for IT startups. The analysis generated gaps and directions for future research consisting of fund’s structure and characteristics, key personnel’s work experience and network, geographic location, investment horizon, shareholding rights.

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