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 ۶۱ تا ۸۰ مورد از کل ۲٬۷۹۴ مورد.
۶۱.

Economic and mathematical modeling of innovative development of the agglomeration on the basis of information technologies(مقاله علمی وزارت علوم)

نویسنده:
منبع: Journal of Information Technology Management , Volume ۱۵, Issue ۱, ۲۰۲۳ 1 - 13

کلید واژه ها: Urban agglomeration Innovation Innovative development Region Information and Communication Technologies

حوزه های تخصصی:
تعداد بازدید : ۱۶۸ تعداد دانلود : ۹۳
Management of innovation processes is one of the functions of local governments and, therefore, they should be the initiators and moderators of communication between research organizations and enterprises. The program formation of agglomeration innovative development involves the creation of promoting innovation body, which allows to achieve the maximum involvement degree of all the participants in the innovation process. The article is devoted to the research of urban agglomeration innovative development, the need to create a special body or center for innovation, which will form a set and interconnected, and will be integrated into the urban agglomeration and carry out innovation and technological activities as part of research and production infrastructure. The article develops a method for predicting the effectiveness of the advancement of this body through the digital space using trend models. It is expected to receive three forecasts: optimistic, realistic and pessimistic. This will accelerate the establishment of links between the players of the regional innovation market and contribute to a qualitative change in the spatial and functional structure of urban agglomerations. The development of information and communication technologies allows to create effective systems that will stimulate the agglomerations innovative development . Therefore, the communicative activities of regional governments should be carried out through the use of information and communication technologies. Thus, the urgency of developing a methodology for assessing the increase of the innovative component of agglomeration economic development is due to the low percentage of implementation research results, low science-intensive gross value added in the Ukrainian regions, the possibility of using information and communication technologies. Increasing the number of targeted visits will simplify and speed up the process of establishing links between innovation market players at the agglomeration spatial level in both the short and long term
۶۲.

Online Education as a New Normal: Are We Ready for this New Teaching and Learning Mode?(مقاله علمی وزارت علوم)

نویسنده:
منبع: Journal of Information Technology Management , Volume ۱۵, Special Issue, ۲۰۲۳ 133 - 141

کلید واژه ها: Covid-19 pandemic Online education Teaching and Learning Outcome Graduate Quality

حوزه های تخصصی:
تعداد بازدید : ۱۳۲ تعداد دانلود : ۹۹
The spread of COVID-19 pandemic starting in late 2019 has changed the way we conduct our teaching and learning activities especially in Higher Education Institutions (HEIs). Since March 2020, classes have been conducted via online platforms. As a consequence, students missed the campus life, teamwork has been given less emphasis, fieldwork, industry visits and community service have been put aside, and most importantly the achievement of the learning outcomes towards a certain extent has been compromised. The implications of these changes need to be highly considered as they might affect the quality of graduates. This paper intends to discuss the impact of COVID-19 pandemic on the education system and highlight some potential solutions that can be considered by the academics and the top management of HEIs to address the negative repercussions of the current practices. Some research implications are also highlighted in the paper.
۶۳.

Brain Computer Interface using Genetic Algorithm with modified Genome and Phenotype Structures(مقاله علمی وزارت علوم)

نویسنده:
منبع: Journal of Information Technology Management , Volume ۱۵, Issue ۳, ۲۰۲۳ 47 - 68

کلید واژه ها: Motor Imagery (M.I.) Genetic Algorithm (GA) Three Dimensional Population Support Vector Machine (SVM)

حوزه های تخصصی:
تعداد بازدید : ۹۰ تعداد دانلود : ۳۳
The human machine interface research in the light of modern fast computers and advanced sensors is taking new heights. The classification and processing of neural activity in the brain accessed by Magnetic Resonance Imaging (MRI), Positron Emission Tomography (PET), functional Magnetic Resonance Imaging (fMRI), Electrocorticography (ECoG), EEG Electroencephalogram (EEG) etc., are peeling off new paradigms for pattern recognition in human brain-machine interaction applications. In the present paper, an effective novel scheme based upon a synergetic approach employing the Genetic Algorithm (GA), Support Vector Machine and Wavelet packet transform for motor imagery classification and optimal Channel selection is proposed. GA with SVM acting as the objective function is employed for simultaneous selection of features and channels optimally. The binary population of GA is uniquely represented in three-dimensional structure and a new cross-over operator for GA are introduced. The new modified cross-over operator is proposed for the modified three-dimensional population. The ‘data set I’ of ‘BCI Competition IV’ is taken for evaluation of the efficacy of the proposed scheme. For subject ‘a’ accuracy is 88.9 6.9 with 10 channels, for subject ‘b’ accuracy is 79.20±5.36with 11 channels, for subject ‘f’ accuracy is 90.50±3.56 with 13 channels, and for subject ‘g’ accuracy is 92.23±3.21with 12 channels. The proposed scheme outperforms in terms of classification accuracy for subjects ‘a, b, f, g’ and in terms of number of channels for subject ‘a’ and that for subject ‘b’ is same as reported earlier in literature. Therefore, proposed scheme contributes a significant development in terms of new three-dimensional representation of binary population for GA as well as significant new modification to the GA operators. The efficacy of the scheme is evident from the results presented in the paper for dataset under consideration.
۶۴.

The Influence of the Shadow Economy on the Financial Security of Ukraine in the Conditions of Informatization of Society(مقاله علمی وزارت علوم)

نویسنده:
منبع: Journal of Information Technology Management , Volume ۱۵, Issue ۴, ۲۰۲۳ 1 - 17

کلید واژه ها: Shadow Economy Financial Security of the State De-Criminalization of the Economy Legalization of the Shadow Economy Income Amnesty Informatization of society

حوزه های تخصصی:
تعداد بازدید : ۳۹ تعداد دانلود : ۲۶
The article presents the results of the analysis of the indicators of the level of the shadow economy in Ukraine in the period from 2010 to 2020. The level of shadow economy calculated on the basis of such methods as: unprofitable enterprises, monetary, population expenditures - retail trade - services and electricity was used for the analysis. The causes and consequences of shadow economic activity in Ukraine are given. The study found that the downward trend in the shadow economy persists despite the spread of the negative effects of the COVID - 19 pandemic and declining real GDP. In particular, three of the four methods used to assess the level of the shadow economy recorded a decrease in the level of the shadow economy (the method of "population expenditure - retail trade and services"; the electric method; the monetary method). At the same time, the method of enterprise losses showed an increase in the shadow economy, which is largely due to a significant deterioration in the financial situation of enterprises under the restrictions imposed to prevent the rapid spread of the coronavirus pandemic in the world and Ukraine, as well as logistical problems. The practical value of the results is determined by the fact that the conclusions and proposals can be used to more accurately and objectively calculate the level of the shadow economy, which in turn can be the basis for effective decisions to de-shadow and legalize Ukraine's economy.
۶۵.

Automated Novel Heterogeneous Meditation Tradition Classification via Optimized Chi-Squared 1DCNN Method(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 1 - 22

کلید واژه ها: EEG 1DCNN Meditation Tradition Chi-Square dimension reduction

حوزه های تخصصی:
تعداد بازدید : ۳۷ تعداد دانلود : ۲۷
The realm of human-computer interaction delves deep into understanding how individuals acquire knowledge and integrate technology into their everyday lives. Among the various methods for measuring brain signals, electroencephalography (EEG) stands out for its non-invasive, portable, affordable, and highly time-sensitive capabilities. Some researchers have revealed a consistent correlation between meditation practices and changes in the EEG frequency range, observed across a wide array of meditation techniques. Furthermore, the availability of EEG datasets has facilitated research in this field. This study explores the effectiveness of the One-Dimensional Convolutional Neural Network (CNN-1D) based novel classification method, which impressively achieved an 62% training accuracy, showcasing the robustness of these models in meditation classification tasks. The proposed methodology unveiling a novel method to differentiate neural oscillations in 4 types of meditators and control. This approach analyzes an EEG dataset of highly experienced meditators practicing Vipassana (VIP), Isha Shoonya (SYN), Himalayan Yoga (HYT), and untrained control subjects (CTR) by employing chi-square, CNN, hyperparameter models for data analysis, The outcomes indicate that different meditation types exhibit distinct cognitive features, enabling effective differentiation and classification.
۶۶.

Three Machine Learning Techniques for Melanoma Cancer Detection(مقاله علمی وزارت علوم)

نویسنده:
منبع: Journal of Information Technology Management , Volume ۱۵, Issue ۲, ۲۰۲۳ 59 - 72

کلید واژه ها: Artificial Neural Network Multi-Layer Perceptron Support vector machine K-Nearest skin cancer image processing

حوزه های تخصصی:
تعداد بازدید : ۵۱ تعداد دانلود : ۳۹
The application of machine learning technologies for cancer detection purposes are rising due to their ever-increasing accuracy. Melanoma is one of the most common types of skin cancer. Detection of melanoma in the early stages can significantly prevent illness and fetal death. The application of innovative machine learning technology is highly relevant and valuable due to medical practitioners' difficulty in early-stage diagnoses. This paper provides an open-source tutorial on the performance of an algorithm that helps to diagnose melanoma by extracting features from dermatoscopic images and their classification. First, we used a Dull-Razor preprocessing method to remove extra details such as hair. Next, histogram adjustments and lighting thresholds were used to increase the contrast and select lesion boundaries. After using a threshold, a binary-classified version of image was obtained, and the boundary of the lesion was determined. As a result, the features from skin tissue were extracted. Finally, a comparative study was conducted between three methods which are Artificial Neural Network (ANN), Support Vector Machine (SVM) and K-Nearest Neighbor (KNN). The results show that ANN could achieve better accuracy (83.5%). In order to mitigate the biases in existing studies, the source code of this research is available at hadi-naghavipour.com/ml to serve aspiring researchers for improvement, correction and learning and provide a guideline for technology manager practitioners.
۶۷.

بررسی نقش مدیریت ارتباط با مشتری در رابطه بین مدیریت دانش مشتری و توسعه محصول جدید (نمونه پژوهش: شرکتهای صنعتی فعال در بخش پلاستیک)(مقاله علمی وزارت علوم)

نویسنده:
منبع: مدیریت دانش سازمانی سال ششم پاییز ۱۴۰۲ شماره ۲۲ 81 - 122

کلید واژه ها: توسعه محصول جدید دانش مشتری مدیریت ارتباط با مشتری مدیریت دانش مشتری

حوزه های تخصصی:
تعداد بازدید : ۸۹ تعداد دانلود : ۹۱
در این پژوهش تلاش شده است تا تاثیر مدیریت ارتباط با مشتری (CRM) در رابطه بین مدیریت دانش مشتری (CKM) و توسعه محصول جدید (NPD) بررسی شود. این پژوهش از نظر هدف کاربردی و از نظر ماهیت توصیفی-پیمایشی است. جامعه آماری پژوهش شرکت های فعال استان خوزستان و آذربایجان غربی می باشد که از بین آن ها 169 شرکت به عنوان نمونه انتخاب شده اند. ابزار جمع آوری داده ها پرسشنامه استاندارد بوده است. در پرسشنامه مورد استفاده ابعاد متغیر مدیریت دانش مشتری شامل دانش درباره مشتری، از مشتری، و برای مشتری به ترتیب بر اساس مقیاس های بوچنوسکا (2011)، موسی خانی، حقیقت و ترک زاده (2012)، و شامی زنجانی و نجف لو (2011) سنجیده شده است. ابعاد متغیر مدیریت ارتباط با مشتری نیز شامل اطلاعات، ارزش، و ارتباطات چندکاناله به ترتیب بر اساس مقیاس های کوهلی و جاورسکی (1990)، جارویس، و همکاران (2003)، و جیندال، و همکاران (2007) سنجیده شده است. همچنین متغیر محصول جدید بر اساس مقیاس کوپر و کلین اشمیت (1995) سنجیده شده است. جهت تجزیه و تحلیل اطلاعات از روش حداقل مربعات جزئی و نرم افزار SmartPLS استفاده شده است. بررسی پایایی داده ها با استفاده از آزمون ضریب آلفای کرونباخ و پایایی مرکب نشان داد که کمترین مقدار آلفای کرونباخ مربوط به متغیر دانش از مشتری با مقدار 775/0 و کمترین مقدار پایایی مرکب مربوط به متغیر دانش از مشتری با مقدار 843/0شده است و از این رو پایایی همه متغیرهای آزمون مورد تایید قرار گرفته شد. بررسی نتایج پژوهش نشان داد که ضریب مسیر CKM-CRM و CKM-NPD به ترتیب دارای مقادیر 833/0 و 612/0، ضریب مسیر CRM-NPD دارای مقدار 774/0، و اثر میانجی CRM بر رابطه CKM-NPD مقدار 648/0 شده است که همه موارد درسطح خطای 5 درصد معنی دار است. این یافته ها چندین پیامد مهم علمی و عملی دارند و از این رو پیشنهاد می شود شرکت ها اهمیت مدیریت ارتباط با مشتری را در فعال سازی استعداد مدیریت دانش و توسعه محصول جدید مورد توجه ویژه قرار دهند.
۶۸.

Implementation of Intrusion detection and prevention with Deep Learning in Cloud Computing(مقاله علمی وزارت علوم)

نویسنده:
منبع: Journal of Information Technology Management , Volume ۱۵, Special Issue, ۲۰۲۳ 1 - 18

کلید واژه ها: IDPS (Intrusion Detection and Prevention System) Network Security

حوزه های تخصصی:
تعداد بازدید : ۱۱۷ تعداد دانلود : ۷۰
An administrator is employed to identify network security breaches in their organizations by using a Network Intrusion Detection and Prevention System (NIDPS), which is presented in this paper that can detect and preventing a wide range of well-known network attacks. It is now more important than ever to recognize different cyber-attacks and network abnormalities that build an effective intrusion detection system plays a crucial role in today's security. NSL-KDD benchmark data set is extensively used in literature, although it was created over a decade ago and will not reflect current network traffic and low-footprint attacks. Canadian Institute of Cyber security introduced a new data set, the CICIDS2017 network data set, which solved the NSL-KDD problem. With our approach, we can apply a variety of machine learning techniques like linear regression, Random Forest and ID3. The efficient IDPS is indeed implemented and tested in a network environment utilizing several machine learning methods. A model that simulates an IDS-IPS system by predicting whether a stream of network data is malicious or benign is our objective. An Enhanced ID3 is proposed in this study to identify abnormalities in network activity and classify them. For benchmark purposes, we also develop an auto encoder network, PCA, and K-Means Clustering. On CICIDS2017, a standard dataset for network intrusion, we apply Self-Taught Learning (STL), which is a deep learning approach. To compare, we looked at things like memory, Recall, Accuracy, and Precision.
۶۹.

Early Diagnosis of Alzheimer Disease from Mri Using Deep Learning Models(مقاله علمی وزارت علوم)

نویسنده:
منبع: Journal of Information Technology Management , Volume ۱۵, Special Issue, ۲۰۲۳ 52 - 71

کلید واژه ها: Alzheimers disease (AD) Magnetic Resonance Imaging (MRI) Deep Learning (DL) Artificial Neural Network (ANN) and Visual Geometry Group (VGG)

حوزه های تخصصی:
تعداد بازدید : ۱۰۹ تعداد دانلود : ۵۸
On a global scale, one of the prevalent causes of dementia is Alzheimer’s disease (AD). It will cause a steady deterioration in the individual from the mild stage to the severe stage, and thus impair their capacity to finish any tasks with no aid. The diagnosis is done with the utilization of existing methods which include medical history; neuropsychological testing as well as MRI (Magnetic Resonance Imaging), a lack of sensitivity as well as precision does affect the consistency of efficient procedures. With the deep learning network’s utilization, it is possible to create a framework for detecting specific AD characteristics from the MRI images. While automatic diagnosis is done with the application of diverse machine learning techniques, the existing ones do suffer from certain constraints with regards to accuracy. Thus, this work’s key goal is to increase the classification’s accuracy through the inclusion of a pre-processing approach prior to the deep learning model. The Alzheimer's disease Neuroimaging Initiative (ADNI) database of AD patients was used to develop a deep learning approach for AD identification. In addition, this study will present ideas for Haralick features, feature extraction from Local Binary Pattern (LBP), Artificial Neural Network (ANN), and Visual Geometry Group (VGG)-19 network techniques. The results of the experiments show that the deep learners offered are more effective than other systems already in use.
۷۰.

Information management systems in the systematization of indicators for assessing the effectiveness of investment processes in the securities market(مقاله علمی وزارت علوم)

نویسنده:
منبع: Journal of Information Technology Management , Volume ۱۵, Issue ۱, ۲۰۲۳ 36 - 61

کلید واژه ها: indicators Investment Processes Securities Market Information Management Systems Stock Exchange Indices Efficient market hypothesis

حوزه های تخصصی:
تعداد بازدید : ۱۲۲ تعداد دانلود : ۹۵
The purpose of this study is to study the indicators for evaluating the effectiveness of the implementation of investment processes on the securities market, taking into account the scientific foundations of information management systems and analysis of indicators of financial efficiency of the investment function of the securities market in Ukraine. The relevance of this study is due to the growing importance of management information systems in all sectors of the Ukrainian economy, in particular, the provision of solutions to the problems of activating investment processes in the securities market of Ukraine by analyzing and reassessing the effectiveness of investment processes at this level, taking into account the scientific basis of management information systems.  A set of indicators that best reflect the implementation of the investment function of the Ukrainian securities market is proposed. A matrix of characteristics of investment processes in the securities market is proposed. It is argued why domestic and foreign investors prefer local securities market indices when making investment decisions. Through the implementation of correlation-regression models, it has been proven that, on average, 87% of changes in investments in securities are due to changes in the number of licensed entities, which on the Chedoch scale indicates a close relationship between the indicators. The results obtained using statistical inference methods indicate a high impact of both external macroeconomic factors that inhibit the development of the securities market and internal, which in turn is reflected in the indicators of assessing the effectiveness of investment processes in the securities market.
۷۱.

Analysis of Diabetes disease using Machine Learning Techniques: A Review(مقاله علمی وزارت علوم)

نویسنده:
منبع: Journal of Information Technology Management , Volume ۱۵, Issue ۴, ۲۰۲۳ 139 - 159

کلید واژه ها: Machine Learning diabetes Classifiers Prediction Classification

حوزه های تخصصی:
تعداد بازدید : ۴۰ تعداد دانلود : ۴۰
Diabetes is a type of metabolic disorder with a high level of blood glucose. Due to the high blood sugar, the risk of heart-related diseases like heart attack and stroke got increased. The number of diabetic patients worldwide has increased significantly, and it is considered to be a major life-threatening disease worldwide. The diabetic disease cannot be cured but it can be controlled and managed by timely detection. Artificial Intelligence (AI) with Machine Learning (ML) empowers automatic early diabetes detection which is found to be much better than a manual method of diagnosis. At present, there are many research papers available on diabetes detection using ML techniques. This article aims to outline most of the literature related to ML techniques applied for diabetes prediction and summarize the related challenges. It also talks about the conclusions of the existing model and the benefits of the AI model. After a thorough screening method, 74 articles from the Scopus and Web of Science databases are selected for this study. This review article presents a clear outlook of diabetes detection which helps the researchers work in the area of automated diabetes prediction.
۷۲.

Process model of development of leadership qualities of public servants in the conditions of digital transformation(مقاله علمی وزارت علوم)

نویسنده:
منبع: Journal of Information Technology Management , Volume ۱۵, Issue ۱, ۲۰۲۳ 14 - 35

کلید واژه ها: Public servants leadership Leadership qualities Professionalization competence Governance Digital Transformation

حوزه های تخصصی:
تعداد بازدید : ۱۶۴ تعداد دانلود : ۹۷
The purpose of this study is to develop proposals and recommendations for the implementation of a process model for the development of leadership qualities of public servants and justification of the conditions for ensuring its effectiveness in terms of digital transformation. The relevance of this study is due to the need to ensure development of the process of professionalization of the senior civil service personnel on the basis of development of leadership qualities that will contribute to the effective operation of the civil service of Ukraine, change management and successful implementation of reforms in Ukraine, taking into account the best world practices. The methodology for assessing the level of managerial competencies of public servants according to the degree of implementation of strategic (key) competencies has been developed. The assessment of managerial competencies according to the degree of their significance for civil servants, the expert group identified the most important management competencies. An approach to understanding has proposed interaction of leadership competencies with managerial competencies, a diagnostic model for assessing the leadership of public servants has been developed. To implement the model, a system of indicators has been developed - single, complex and integrated indicators of civil servants' leadership, using tools: a tree of civil servants' leadership indicators, matrices for the calculated civil servants' leadership indicator, measurement scales for the corresponding level of indicators.
۷۳.

بررسی تاثیر رفتارهای پنهان کننده دانش بر سکوت کارکنان و رفتارهای منحرف سازمانی با نقش میانجی نقض قرارداد روانشناختی (نمونه پژوهش: اداره کل امور مالیاتی مودیان بزرگ)(مقاله علمی وزارت علوم)

نویسنده:
منبع: مدیریت دانش سازمانی سال ششم تابستان ۱۴۰۲ شماره ۲۱ 83 - 140

کلید واژه ها: رفتارهای پنهان کننده دانش سکوت کارکنان رفتارهای منحرف سازمانی

حوزه های تخصصی:
تعداد بازدید : ۷۰ تعداد دانلود : ۸۵
هدف از پژوهش حاضر، بررسی تاثیر رفتارهای پنهان کننده دانش بر سکوت کارکنان و رفتارهای منحرف سازمانی با نقش میانجی نقض قرارداد روانشناختی می باشد. این پژوهش از نظر نوع هدف، کاربردی و از نظر نوع ماهیت، توصیفی- پیمایشی است. جامعه آماری پژوهش حاضر، شامل کارکنان اداره امور مالیاتی مودیان بزرگ که مشتمل بر 400 نفر می باشند که تعداد 227 نفر به روش تصادفی ساده و به روش تحلیل توان به عنوان نمونه آماری انتخاب گردیدند. جهت گردآوری اطلاعات از پرسشنامه استاندارد استفاده شده است و داده ها بوسیله تحلیل چندمتغیره مبتنی بر مدل سازی معادلات ساختاری با رویکرد کواریانس محور در بستر نرم افزار Amos ورژن 24 مورد تجزیه و تحلیل قرار گرفت. نتایج تحقیق حاکی از تایید تاثیر پنهان کاری منطقی بر سکوت تدافعی، پنهان کاری گریزان بر سکوت رابطه ای، پنهان کاری منطقی بر سکوت رابطه ای، پنهان کاری گریزان بر سکوت بی اثر، پنهان کاری منطقی بر سکوت بی اثر و سکوت تدافعی بر رفتار منحرف سازمانی، سکوت رابطه ای بر رفتار منحرف سازمانی و سکوت بی اثر بر رفتار منحرف سازمانی می باشد و همچنین نتایج حاصل از تحلیل میانجی نشان می دهد که سازه "نقض قرارداد روانشناختی" برای تمامی روابط میان ابعاد پنهان کاری و ابعاد سکوت دارای نقش میانجی است، به طوری که فرآیند میانجی گری مذکور برای روابط علی میان "پنهان کاری خاموش" و "سکوت تدافعی/ سکوت بی اثر" به صورت کامل و برای مابقی روابط به صورت جزئی است. در نهایت، از میان بیست و یک فرضیه مطروحه، هفده فرضیه مورد تائید قرار گرفت که از این بین تاثیر سکوت رابطه ای بر رفتار منحرف سازمانی از بالاترین ضریب مسیر (0.33) برخوردار است.
۷۴.

Digitalization of Biocluster Management on Basis of Balanced Scorecard(مقاله علمی وزارت علوم)

نویسنده:
منبع: Journal of Information Technology Management , Volume ۱۵, Issue ۴, ۲۰۲۳ 80 - 96

کلید واژه ها: Bioeconomy digitalization Biocluster Strategic Management balanced scorecard Forecasting

حوزه های تخصصی:
تعداد بازدید : ۶۴ تعداد دانلود : ۴۰
The article is devoted to the digitalization of biocluster management on the basis of a balanced scorecard. It is proved that a biocluster, as a local model of business concentration that integrates environmentally oriented enterprises, through a combination of traditional and new technologies, resource saving and diversification of the range of environmental products, is able to satisfy various customer requests in one place and time, to ensure competitive advantages and integration into the world economic space. The concept of applying a balanced scorecard in the strategic biocluster management was formed. The technology of formation and mechanism of implementation of the balanced scorecard and digital data processing technologies into the management information system of strategic biocluster management was proposed. The digital outline of the strategic program for transferring the mission and strategy of the biocluster to the mode of effective use, capacity building and development was formed. The scorecard for strategic management of the biocluster was developed, the study of the dynamics of which allows to determine the strengths and weaknesses of the biocluster, to identify tolerance and resilience to changes in the business environment, to identify ways to achieve the set development goals.
۷۵.

The Pandemic Benefits Reaped by Online Teaching Platforms: A Case study of Whitehat Junior(مقاله علمی وزارت علوم)

نویسنده:
منبع: Journal of Information Technology Management , Volume ۱۵, Issue ۳, ۲۰۲۳ 69 - 84

کلید واژه ها: pandemic Online Education teaching Platforms parents Perspectiv COVID -19

حوزه های تخصصی:
تعداد بازدید : ۵۲ تعداد دانلود : ۴۴
Pandemic has brought all together a new environment of working and compelled all the off line educational institutions to become online educational platforms and strengthen their online resources. We need to understand online platforms as universities, institutes, schools, colleges or any educational institute which are working online and providing degrees, certificates, diplomas for several courses and programs. In different researches related to online education and Covid -19, investigations addressed student’s perspective or teachers perspective. Literature review has showed the gap in exploring the turnaround strategies inspired by the parent’s perspective for online education especially with respect to young children (Age group 8 to 12 years). Apart from literature review and analysis of secondary data from websites and search engines, qualitative research was undertaken to know about parent’s views in general about the online platforms and particularly about WHJ (White Hat Junior). The focused group discussion and the indepth interviews revealed very useful information with regard to Online educational platforms and especially WHJ in relation to Covid -19 times. Findings relate to awareness, acceptability, perception change, costs, safety issues, etc. It has brought out elaborately in this case based research, how parents expectation may impact the turnaround strategies of their wards’ online educational platforms. In different researches related to online education and Covid -19, investigations addressed student’s perspective or teacher’s perspective.
۷۶.

الگوسازی بعد دانشی در نظام نوآوری با رویکرد فراترکیب و دیماتل خاکستری(مقاله علمی وزارت علوم)

نویسنده:
منبع: مدیریت دانش سازمانی سال ششم تابستان ۱۴۰۲ شماره ۲۱ 183 - 241

کلید واژه ها: بعد دانشی نظام نوآوری دیماتل خاکستری فراترکیب مدیریت دانش نظام نوآوری یادگیری و پژوهش

حوزه های تخصصی:
تعداد بازدید : ۱۱۷ تعداد دانلود : ۱۲۲
پژوهش حاضر به بررسی مدل ها و ادبیات علمی حول نقش دانش در نظام نوآوری به استخراج مدلی از بعد دانشی نظام نوآوری جهت ارائه در یک سازمان نظامی پرداخته و نحوه تعاملات بین اجزای مدل را کشف می نماید. پارادایم تحقیق تفسیری، با رویکرد کاربردی و توسعه ای، با استراتژی قیاسی- استقرائی و روش آمیخته شکل گرفته است. جمع آوری داده های پژوهش بصورت کتابخانه ای و میدانی و روش نمونه گیری بصورت نظری بود. جامعه آماری این پژوهش در بخش کیفی مقالات علمی موجود در پایگاه های پژوهشی بودند و به صورت تمام شمار مورد بازبینی قرار گرفتند. در بخش کمی نیز جامعه آماری شامل خبرگان حوزه نوآوری و تحصیلکردگان دانشگاهی بودند. در این پژوهش ابزار گرداوری داده شامل بررسی اسناد و مدارک و همینطور ماتریس ورودی روش دیماتل در قالب پرسشنامه مورد استفاده قرار گرفتند. جامعه پژوهش در بخش کیفی شامل اسناد علمی مشخص با روش نمونه گیری نظری مورد بازبینی قرار گرفت. همینطور در بخش کمی جامعه پژوهش خبرگان این حوزه با روش نمونه گیری هدفمند مورد توجه قرار گرفتند. در این پژوهش با استفاده از رویکرد فراترکیب مبتنی بر رویکرد باروسو و ساندلوفسکی که شامل هفت گام اساسی است و کنکاش پژوهش های گذشته که با توجه به معیارهای ورودی شامل مقالات علمی با درجه مشخص و بعد از سال 2000 میلادی ، مفاهیم استخراج شده و در نهایت اجزای بعد دانشی نظام نوآوری شناسایی شدند. این اجزا که پس از غربالگری منابع، از 48 منبع گرداوری گردیدند، در قالب 84 کد استخراج گردید که در بطن ده مضمون اساسی جای دهی شدند. این مضامین در قالب مقولات سه گانه پژوهش، یادگیری و مدیریت دانش بعد دانشی نظام نوآوری را شکل دادند. مدل استخراج یافته طی یک پرسشنامه توسط 10 نفر از خبرگان یک سازمان نظامی مورد نظر قرار گرفته و بومی شد. در ادامه با استفاده از روش دیماتل به بررسی نحوه اتصال اجزا و بررسی کنش های متقابل بین آن ها در بین خبرگان یک سازمان نظامی پرداخته شد. اعتبار پژوهش در بخش کیفی با روش حیاتی و کاپای کوهن و در بخش کمی با مراجعه به خبرگان مورد تایید قرار گرفت. نتایج نشان داد که دو متغیر "مقدمات یادگیری" و "صیانت از دانش" به عنوان عواملی که بیشترین میزان مجموع اثرگذاری و اثر پذیری را دارا هستند( به ترتیب با مقادیر 2.0841 و 1.5240) در مجموعه عوامل به عنوان بازیگران مهمی شناخته می شوند. همچنین دو متغیر "مقدمات یادگیری" و " آموزش" دارای بیشترین مقدار تاثیر گذاری خالص(کسر میزان اثرگذاری از اثر پذیری) در مجموعه این عوامل، به ترتیب با مقادیر 0.9726 و 0.2763، را دارا بودند. از این رو این دو عامل به عنوان بیشترین تحریک کننده مجموعه عوامل به شمار آمده و نیاز است در طرحریزی ها مورد توجه قرار گرفته شوند.
۷۷.

Information Systems in Fiscal Administration and Modeling of Excise Tax(مقاله علمی وزارت علوم)

نویسنده:
منبع: Journal of Information Technology Management , Volume ۱۵, Issue ۴, ۲۰۲۳ 120 - 138

کلید واژه ها: information systems Fiscal Efficiency Tax Administration Excise Tax Functions of the Excise Tax Modeling Methods Brewing Industry

حوزه های تخصصی:
تعداد بازدید : ۷۰ تعداد دانلود : ۳۵
The purpose of the article is to substantiate the fiscal role of the excise tax by studying its information and functional potential and to model the dynamics of its payment by the brewing industry. Excise tax occupies a special place in a tax system of each state because, in addition to significant fiscal importance, it has a considerable regulatory impact on the production and consumption of certain categories of goods. Based on information systems in the article analyses and monitors the indicators of the excise tax payments on goods produced in Ukraine on the example of a particular enterprise in the brewing industry. By means of the initial data analysis of autocorrelation functions of volumes’ indicators of the accrued excise taxes on beer the expediency of modelling realization of such indicator dynamics on the basis of ARIMA model is proved. The analytical and statistical approaches to the formation of models for the implementation of forecast for the calculation of excise tax on beer of brewing industry enterprises are improved. The proposed approach is based on the values of autocorrelation of balances and partial autocorrelation, as well as methods of analysis of time series with gaps, which allows to use it in the economic activity of enterprises to make forecasts for the calculation and payment of the excise tax. This will produce financial effects for the brewing industry in terms of cost optimization and minimization of the excise tax risks.
۷۸.

Artificial Intelligence Driven Human Identification(مقاله علمی وزارت علوم)

نویسنده:
منبع: Journal of Information Technology Management , Volume ۱۵, Issue ۳, ۲۰۲۳ 113 - 133

کلید واژه ها: Gait Analysis Identification Background subtraction Vectorization Projec-tions Quarter-cycles Artificial Intelligence

حوزه های تخصصی:
تعداد بازدید : ۵۰ تعداد دانلود : ۴۰
Human Identification has been widely implemented to enhance the efficiency of surveillance systems, however, systems based on common CCTV (closed-circuit television) cameras are mostly incompatible with the advanced identification algorithms which aim to extract the facial features or speech of an individual for identification. Gait (i.e., an individual’s unique walking pattern/style) is a leading exponent when compared to first-generation biometric modalities as it is unobtrusive (i.e., it requires no contact with the individual), hence proving gait to be an optimal solution to human identification at a distance. This paper proposes an automatic identification system that analyzes gait to identify humans at a distance and predicts the strength of the match (i.e., probability of the match being positive) between two gait profiles. This is achieved by incorporating computer vision, digital image processing, vectorization, artificial intelligence, and multi-threading. The proposed model extracts gait profiles (from low-resolution camera feeds) by breaking down the complete gait cycle into four quarter-cycles using the variations in the width of the region-of-interest and then saves the gait profile in the form of four distinct projections (i.e., vectors) of length 20 units each, thus, summing up to 80 features for each individual’s gait profile. The focus of this study revolved around the speed-accuracy tradeoff of the proposed model where, with a limited dataset and training, the model runs at a speed of 30Hz and yields 85% accurate results on average. A Receiver Operating Characteristic Curve (ROC) is obtained for comparison of the proposed model with other machine learning models to better understand the efficiency of the system
۷۹.

A New S-Box Design by Applying Bat Algorithm Based Technique(مقاله علمی وزارت علوم)

نویسنده:
منبع: Journal of Information Technology Management , Volume ۱۵, Issue ۳, ۲۰۲۳ 85 - 98

کلید واژه ها: Cryptography Block Cipher S-box Nonlinearity Bat algorithm

حوزه های تخصصی:
تعداد بازدید : ۵۵ تعداد دانلود : ۴۲
Substitution-boxes (S-boxes) are very important nonlinear components used for achieving strong confusion for enhancing cryptographic security in most of the block ciphers. Designing cryptographically strong S-boxes has been a major research domain for the designers of symmetric crypto systems. In the proposed research work, Bat Algorithm based swarm technique is proposed to design strong S-boxes.  Cryptographic strong S-boxes are obtained by the developed swarm technique. Authors analyze cryptographic strength of the obtained S-box by evaluating properties like Bijectivity, Nonlinearity, Bit-Independence Criterion, Linear Probability and Differential Uniformity. The obtained performance parameters for the designed new S-box by the swarm technique are compared with some recently reported S-boxes in the literature. The designed S-box has good cryptographic strength. The designed S-box has good cryptographic strength like nonlinearity = 110.75 and average Strict Avalanche Criterion (SAC) value = 0.506. For the constructed S-box, most of the Differential uniformity components are 4 and shows uniform distribution approximately. The proposed new S-box is also free from the fixed points.
۸۰.

Stress-Testing Technologies of Financial Stability of Financial Corporations: Aspect of Insurance Companies(مقاله علمی وزارت علوم)

نویسنده:
منبع: Journal of Information Technology Management , Volume ۱۵, Issue ۴, ۲۰۲۳ 97 - 119

کلید واژه ها: insurance company risk Financial Stability Stress Testing technologies Insurance Rates Reinsurance

حوزه های تخصصی:
تعداد بازدید : ۳۵ تعداد دانلود : ۳۱
The purpose of the article is to perform stress-testing technologies of the financial stability of an insurance company based on the constructed mathematical model of the insurance company's activity, which would meet the established requirements (adequate reproduction of the main parameters of the insurance company's functioning; taking into account the stochastic nature of insurance processes; flexible management of model parameters describing company's behaviour; the ability to influence the intensity of flows; suitability for algorithmization and construction of computational simulation model. The relevance of this study is due to the need to address the problem of changes and complications, the growing variety of strategies and products implemented by insurance companies. There is a need for innovative methods to assess and monitor the vulnerability of these institutions to various types of risks. One of these methods, which is gaining widespread recognition both among regulators and financial corporations, is stress testing. It has been established that stress testing as a risk management tool is used both to assess the insurance company's readiness for a crisis situation, and to develop a plan of adequate measures to counteract and eliminate its negative impact. The development and application of the proposed mathematical and simulation model of stress testing of the financial stability of the insurance company allows to solve issues of ensuring sufficiency of capital level, control of financial stability and solvency, reliability of efficiency of activities, taking into account the probabilistic nature of insurance activities, various typical insurance risks and time horizons.

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