The Evaluation of an Improved Model of the Agile Kanban Using Focus Group
Hamzah
Alaidaros
Assistant Professor, Faculty of Computer Science and Engineering, Al-Ahgaff University, Mukalla, Hadramaout, Yemen
author
Mazni
Omar
Associate Professor, Institute for Advanced and Smart Digital Opportunities (IASDO), School of Computing, UUM College of Arts and Sciences, University Utara Malaysia, 06010 UUM Sintok, Kedah, Malaysia
author
Rohaida
Romli
Associate Professor, Human-Centred Computing Research Lab, School of Computing, UUM College of Arts and Sciences, University Utara Malaysia 06010 UUM Sintok, Kedah, Malaysia
author
Abdullah
Al-Sakkaf
Ph.D. Candidate, Institute for Advanced and Smart Digital Opportunities (IASDO), School of Computing, UUM College of Arts and Sciences, University Utara Malaysia, 06010 UUM Sintok, Kedah, Malaysia
author
text
article
2022
eng
The improved model of the Agile Kanban (i-KAM) is developed to enhance the software project monitoring task when employing Agile project management (APM) approach. The i-KAM have been initially verified by 11 knowledge and domain experts. In consequence, it has been reconstructed and enhanced based on the remarks and recommendations provided by the experts. This paper aims to present the final evaluation results of i-KAM achieved from seven software practitioners participated in a focus group. The focus group method was selected because it is an empirical approach used in the evaluation studies conducted in the software engineering (SE) domain. Therefore, this method was employed to obtain the practitioners’ feedback on the proposed model. Results confirm the effectiveness of i-KAM, in which it can assist the project managers and team members in monitoring their projects’ progress effectively. In addition, it is indicated that i-KAM is an applicable model with easy and practical implementation. This study contributes to improve the task of monitoring software development projects within the APM environment. Accordingly, this would systematically facilitate the top managements’ work, and assist in making meaningful decisions regarding to the management of projects’ workflow. Practically, case studies will be carried out in different software development organizations (SDOs) to implement i-KAM in actual projects within real environments
Journal of Information Technology Management
Faculty of Management, University of Tehran
2980-7972
14
v.
Special Issue: 5th International Conference of Reliable Information and Communication Technology (IRICT 2020)
no.
2022
1
22
https://jitm.ut.ac.ir/article_84882_1e8f7e2e01daa1c8656b38d139cd61ca.pdf
dx.doi.org/10.22059/jitm.2022.84882
Feature Selection Using a Genetic Algorithms and Fuzzy logic in Anti-Human Immunodeficiency Virus Prediction for Drug Discovery
Houda
Labjar
Researcher, Laboratory Processes and Environment, Faculty of Sciences and Technology, University Hassan II Casablanca, Mohammedia, Morocco.
author
Mohammad
Al-Sarem
Associate Professor, Information System Departement, Taibah University, Al-Madinah Al-Monawarah, Saudi Arabia.
author
Mohamed
Kissi
Full Professor, LIM Laboratory, Computer Science Department, Faculty of Sciences and Technology, University Hassan II Casablanca, Mohammedia, Morocco.
author
text
article
2022
eng
This paper presents an approach that uses both genetic algorithm (GA) and fuzzy inference system (FIS), for feature selection for descriptor in a quantitative structure activity relationships (QSAR) classification and prediction problem. Unlike the traditional techniques that employed GA, the FIS is used to evaluate an individual population in the GA process. So, the fitness function is introduced and defined by the error rate of the GA and FIS combination. The proposed approach has been implemented and tested using a data set with experimental value anti-human immunodeficiency virus (HIV) molecules. The statistical parameters q2 (leave many out) is equal 0.59 and r (coefficient of correlation) is equal 0.98. These results reveal the capacity for achieving subset of descriptors, with high predictive capacity as well as the effectiveness and robustness of the proposed approach.
Journal of Information Technology Management
Faculty of Management, University of Tehran
2980-7972
14
v.
Special Issue: 5th International Conference of Reliable Information and Communication Technology (IRICT 2020)
no.
2022
23
36
https://jitm.ut.ac.ir/article_84883_138c6bb7930c4dbdcc4bbaf8ac30f9ce.pdf
dx.doi.org/10.22059/jitm.2022.84883
The Effects of Social Networking Sites Use on Students’ Academic Performance at the University of Taiz
Maged
Rfeqallah
PhD Candidate, Faculty of Technology Management and Business, University Tun Hussein Onn, Malaysia, 86400, Johor Bahru, Malaysia
author
Rozilah
Kasim
Associate Professor of Real Estate & facilities Management, Faculty of Technology Management and Business, Universiti Tun Hussein Onn Malaysia, 86400, Johor Bahru, Malaysia
author
Faisal
A.M Ali
Associate Professor, Statistics, Department of Data Science, College of Administrative Sciences, Taiz University, Yemen.
author
Yahiya Abdu
Al-Ghaffar
Associate Professor of Economics, Department of Economics, College of Administrative Sciences, Taiz University, Yemen.
author
text
article
2022
eng
In the academic context, social networking sites (SNSs) have reshaped the way university students connect and communicate with each other, and the way they learn, thus influencing their identities and dimensions. This paper aims to investigate the impacts of SNSs use by students on their academic performance at the University of Taiz. A survey questionnaire was conducted to a total sample of 357 undergraduate students via personal administration and by an online platform to gather the initial information on their use of SNSs and the influence on their academic performance. The hypotheses of this study were studied and tested using descriptive statistics, regression model, T-test, and analysis of variance (ANOVA). The findings of H1 indicate that the impact of the use of SNSs on students’ academic performance was statistically significant Interaction with the teacher (II) Collaboration with coworkers (CC) Engagement (EN) and learning a cooperating (LC). Meanwhile, the results of H2 indicate no significant differences between the mean averages of the respondents’ answers for (purposes, the impact of the use of SNSs, and academic performance) due to gender, and age, respectively. Thus, using SNS as a learning tool has a great potential to improve students’ academic performance because it allows students to be more connected. Overall findings of this study indicate that the use of SNSs impact undergraduate students by factors are studied on academic Performance to some extent and suggested future strategies to enhance students’ awareness to manage their time, multitasking skills, and study activities to enhance their academic performance and achievements.
Journal of Information Technology Management
Faculty of Management, University of Tehran
2980-7972
14
v.
Special Issue: 5th International Conference of Reliable Information and Communication Technology (IRICT 2020)
no.
2022
37
56
https://jitm.ut.ac.ir/article_84884_272a372b894d9e5e15c6c93658112b79.pdf
dx.doi.org/10.22059/jitm.2022.84884
Determinants of Building Information Modeling Adoption: The case of the Malaysian Construction Industry
Hafiz Muhammad Faisal
Shehzad
School of Computing, University Technology Malaysia, Johor Bahru, Malaysia; Department of Computer Science and IT, University of Sargodha, Sargodha, Pakistan.
author
Roliana
Ibrahim
School of Computing, University Technology Malaysia, Johor Bahru, Malaysia.
author
Khairul
Anwar Mohamed Khaidzir
Department of Architecture, Faculty of Built Environment, University Technology Malaysia.
author
Fahad
Maqbool
Department of Computer Science and IT, University of Sargodha, Sargodha, Pakistan
author
Muhammad
Jauharul Fuady
School of Computing, University Technology Malaysia, Johor Bahru, Malaysia; Faculty of Engineering, Universitas Negeri Malang,Indonesia.
author
Muhammad
Ilyas
Department of Computer Science and IT, University of Sargodha, Sargodha, Pakistan.
author
Ahmad Fadhil
bin Yusof
School of Computing, University Technology Malaysia, Johor Bahru, Malaysia.
author
text
article
2022
eng
The Architecture, Engineering, and Construction (AEC) industry rely heavily on Building Information Modeling (BIM). BIM is the collection of Information and Communication Technologies (ICT), interacting policies, and procedures. BIM is a tool for managing digital project data during the life cycle of a building. Despite the many benefits and features of BIM, the Malaysian construction industry's proliferation is confronted with adoption issues. Therefore, this research study intends to find the effect of BIM adoption factors in Malaysian AEC. Quantitative data collection from construction firms is gathered. The proposed model's theoretical foundations are based on Technology, Organization Environment framework. The model is tested and validated with the Smart PLS tool. The study's findings indicate that Perceived benefits, Organizational Capabilities, and Trialability are drivers of BIM adoption. Perceived cost and Insecurity are the barriers to BIM adoption. Perceived ease of use and compatibility does not affect BIM adoption. Finally, this study performs Importance Performance Map Analysis to provide recommendations to AEC stakeholders to address the BIM adoption issues for enhancing its diffusion in Malaysia.
Journal of Information Technology Management
Faculty of Management, University of Tehran
2980-7972
14
v.
Special Issue: 5th International Conference of Reliable Information and Communication Technology (IRICT 2020)
no.
2022
57
82
https://jitm.ut.ac.ir/article_84885_53ce4f8c5eff0302f9ad3c3b91b705a3.pdf
dx.doi.org/10.22059/jitm.2022.84885
A Literature Review of Technology Adoption theories and Acceptance models for novelty in Building Information Modeling
Hafiz Muhammad Faisal
Shehzad
School of Computing, University Technology Malaysia, Johor Bahru, Malaysia; Department of Computer Science and IT, University of Sargodha, Sargodha, Pakistan.
author
Roliana
Ibrahim
School of Computing, University Technology Malaysia, Johor Bahru, Malaysia.
author
Khairul Anwar
Mohamed Khaidzir
Department of Architecture, Faculty of Built Environment, University Technology Malaysia,
author
Nashat
Alrefai
Basic and Applied Scientific Research Center, Imam Abdulrahman Bin Faisal University, Saudi Arabia.
author
Ruth Kwamboka
Chweya
Kisii University, Kenya
author
Mutasem Mohammad
Yousef Zrekat
School of Computing, University Technology Malaysia, Johor Bahru, Malaysia.
author
Omayma Husain
Abbas Hassan
University of Khartoum, Sudan.
author
text
article
2022
eng
Building Information Modeling (BIM) is the backbone of the Architecture, Engineering, and Construction (AEC) industry. BIM is the collection of Information and Communication Technologies (ICT), interacting policies, and procedures. BIM generates a methodology to manage the project data in digital format throughout the building's life-cycle. Despite the numerous benefits and features of BIM, its proliferation remains limited and facing adoption issues. Although many existing studies discussed BIM adoption from contextual lenses, discipline-focused, there is still a scarcity of a comprehensive overview of technology adoption models and frameworks in BIM research. The purpose of this Systemic Literature Review (SLR) is to evaluate the current status of BIM adoption, technology acceptance theories, models used and find the research challenges. Furthermore, to identify the roles of independent constructs, dependent construct, moderators, and mediators in BIM adoption research. Also, the findings provide an in-depth description of the different stages of BIM adoption. Finally, this SLR will help the researchers for further research in the field of BIM adoption.
Journal of Information Technology Management
Faculty of Management, University of Tehran
2980-7972
14
v.
Special Issue: 5th International Conference of Reliable Information and Communication Technology (IRICT 2020)
no.
2022
83
113
https://jitm.ut.ac.ir/article_84886_26ca5e05911fd770af811000a336d1fc.pdf
dx.doi.org/10.22059/jitm.2022.84886
Deep-Learning-CNN for Detecting Covered Faces with Niqab
Abdulaziz
A. Alashbi
Ph.D. Candidate, Media and Game Innovation Centre of Excellence, Institute of Human Centered Engineering, University Technology Malaysia, 81310 Skudai, Johor, Malaysia. 2School of Computing, Faculty of Engineering, University Technology Malaysia, 81310, Skudai, Johor, Malaysia.
author
Mohd Shahrizal
Sunar
Professor, Media and Game Innovation Centre of Excellence, Institute of Human Centered Engineering, University Technology Malaysia, 81310 Skudai, Johor, Malaysia. 2School of Computing, Faculty of Engineering, University Technology Malaysia, 81310, Skudai, Johor, Malaysia.
author
Zieb
Alqahtani
Ph.D. Candidate, Media and Game Innovation Centre of Excellence, Institute of Human Centered Engineering, University Technology Malaysia, 81310 Skudai, Johor, Malaysia.
author
text
article
2022
eng
Detecting occluded faces is a non-trivial problem for face detection in computer vision. This challenge becomes more difficult when the occlusion covers majority of the face. Despite the high performance of current state-of-the-art face detection algorithms, the detection of occluded and covered faces is an unsolved problem and is still worthy of study. In this paper, a deep-learning-face-detection model Niqab-Face-Detector is proposed along with context-based labeling technique for detecting unconstrained veiled faces such as faces covered with niqab. An experimental test was conducted to evaluate the performances of the proposed model using the Niqab-Face dataset. The experiment showed encouraging results and improved accuracy compared with state-of-the-art face detection algorithms
Journal of Information Technology Management
Faculty of Management, University of Tehran
2980-7972
14
v.
Special Issue: 5th International Conference of Reliable Information and Communication Technology (IRICT 2020)
no.
2022
114
123
https://jitm.ut.ac.ir/article_84888_a3b5d00476d6628dea08b1dcf27a9c27.pdf
dx.doi.org/10.22059/jitm.2022.84888
Designing a Mobile Application for Children: Space Science
Wan Fatimah
Wan Ahmad
Ph.D., Computer & Information Sciences Department, Faculty of Information Technology and Sciences, University Technology PETRONAS, Malaysia.
author
Ain Fatihah
Ahmad Harnaini
B.IT., Computer & Information Sciences Department, Faculty of Information Technology and Sciences, University Technology PETRONAS, Malaysia.
author
text
article
2022
eng
The incorporation of STEM education into the curriculum has been an aspiring objective for many nations around the world. Most students choose not to pursue STEM-discipline studies because they are losing interest slowly. Moreover, the level of engagement required for STEM education is limited due to inadequate interactive teaching and tools that facilitate effective learning in a classroom setting. The objective of this project is to assess how educational game applications can help incline students’ interest in science, develop an educational game application, and conduct user experience testing. A mobile application on Earth and Space Science has been developed for 10 – 11-year-old school students. The project is based on the Rapid Application Development methodology considering the short development timeframe. The application was created using the Ionic Framework, Angular 5, C#.NET and SQLExpress. The findings indicated that this experiment motivates students to be more inclined to science.
Journal of Information Technology Management
Faculty of Management, University of Tehran
2980-7972
14
v.
Special Issue: 5th International Conference of Reliable Information and Communication Technology (IRICT 2020)
no.
2022
124
140
https://jitm.ut.ac.ir/article_84889_8f81c839c2f665ca1dc4508f6832c7c0.pdf
dx.doi.org/10.22059/jitm.2022.84889
A Glance to Develop an Emotional-Persuasive Habit-Change Support Mobile Application for Heart Disease Patients (BeHabit)
Bhavani
Devi Ravichandran
School of Computer Sciences, University Sains Malaysia, 11800 Minden, Penang, Malaysia.
author
Pantea
Keikhosrokiani
School of Computer Sciences, University Sains Malaysia, 11800 Minden, Penang, Malaysia.
author
text
article
2022
eng
Heart disease is stated as the world's biggest killer. The risk factors of this deadly disease are due to some bad habits such as being overweight, bad eating diet, smoking, assumption of alcohol, etc. Nevertheless, patients can live a healthy lifestyle if they have the proper guidance of persuasive-emotional featured technologies. In line with this, this study focuses on developing an emotional-persuasive habit-change support mobile application called BeHabit to improve heart disease patients’ lifestyles. Persuasive-emotional features are two different features that are integrated with BeHabit to distinguish this application from the existing ones. The proposed system is designed, implemented, tested, and evaluated by 10 users. In conclusion, the users are satisfied to used BeHabit to change their bad habits. Emotional and persuasive features that are integrated into BeHabit are the key to help patients to change their bad habits. BeHabit and the integrated feature can be used as a guideline for healthcare developers and providers for the improvement of mHealth services.
Journal of Information Technology Management
Faculty of Management, University of Tehran
2980-7972
14
v.
Special Issue: 5th International Conference of Reliable Information and Communication Technology (IRICT 2020)
no.
2022
141
162
https://jitm.ut.ac.ir/article_84890_acb6c18a8d4a529e6a3a964b293f0ce8.pdf
dx.doi.org/10.22059/jitm.2022.84890
Opinion Mining on Viet Thanh Nguyen’s The Sympathizer Using Topic Modelling and Sentiment Analysis
Sea
Yun Ying
School of Computer Sciences, University Sains Malaysia, 11800 Minden, Penang, Malaysia.
author
Pantea
Keikhosrokiani
School of Computer Sciences, University Sains Malaysia, 11800 Minden, Penang, Malaysia.
author
Moussa
Pourya Asl
School of Humanities, University Sains Malaysia, 11800 Minden, Penang, Malaysia.
author
text
article
2022
eng
In attempts to examine the mapped spaces of a literary narrative, various quantitative approaches have been deployed to extract data from texts to graphs, maps, and trees. Though the existing methods offer invaluable insights, they undertake a rather different project than that of literary scholars who seek to examine privileged or unprivileged representations of certain spaces. This study aims to propose a computerized method to examine how matters of space and spatiality are addressed in literary writings. As the primary source of data, the study will focus on Viet Thanh Nguyen’s The Sympathizer (2015), which explores the lives of Vietnamese diaspora in two geographical locations, Vietnam, and America. To examine the portrayed spatial relations, that is which country is privileged over the other, and to find out the underlying opinion about the two places, this study performs topic modelling with Latent Dirichlet Allocation (LDA) and Latent Semantic Analysis (LSA) by using TextBlob. In addition, Python is used as the analytical tool for this project as it supports two LDA algorithms: Gensim and Mallet. To overcome the limitation that the performance of the model relies on the available libraries in Python, the study employs machine learning approach. Even though the results indicated that both geographical spaces are portrayed slightly positively, America achieves a higher polarity score than Vietnam and hence seems to be the favored space in the novel. This study can assist literary scholars in analyzing spatial relations more accurately in large volumes of works.
Journal of Information Technology Management
Faculty of Management, University of Tehran
2980-7972
14
v.
Special Issue: 5th International Conference of Reliable Information and Communication Technology (IRICT 2020)
no.
2022
163
183
https://jitm.ut.ac.ir/article_84895_09ce4e472aa59af08262c1bd017453a7.pdf
dx.doi.org/10.22059/jitm.2022.84895
Graph-Based Extractive Text Summarization Models: A Systematic Review
Abdulkadir
Bichi
School of Computing, Faculty of Engineering, Universiti Teknologi Malaysia, Johor-Malaysia
author
Pantea
Keikhosrokiani
School of Computer Sciences, University Sains Malaysia, 11800 Minden, Penang, Malaysia.
author
Rohayanti
Hassan
Senior Lecturer, School of Computing, University Technology Malaysia, 81310 Johor Bahru, Johor, Malaysia
author
Khalil
Almekhlafi
Assistant Professor, Taibah University, CBA-Yanbu, 42353, Saudi Arabia.
author
text
article
2022
eng
The volume of digital text data is continuously increasing both online and offline storage, which makes it difficult to read across documents on a particular topic and find the desired information within a possible available time. This necessitates the use of technique such as automatic text summarization. Many approaches and algorithms have been proposed for automatic text summarization including; supervised machine learning, clustering, graph-based and lexical chain, among others. This paper presents a novel systematic review of various graph-based automatic text summarization models.
Journal of Information Technology Management
Faculty of Management, University of Tehran
2980-7972
14
v.
Special Issue: 5th International Conference of Reliable Information and Communication Technology (IRICT 2020)
no.
2022
184
202
https://jitm.ut.ac.ir/article_84899_5b6f5aa998e5cc67b8b0efaffae24ce9.pdf
dx.doi.org/10.22059/jitm.2022.84899
Filter-Based Feature Selection Using Information Theory and Binary Cuckoo Optimisation Algorithm
Ali Muhammad
Usman
chool of Computer Sciences, University Sains Malaysia 11800 Pulau Pinang, Malaysia; Department of Computer Sciences, Federal College of Education (Technical) Gombe, Nigeria
author
Umi Kalsom
Yusof
Assistant Professor, School of Computer Sciences, University Sains Malaysia 11800 Pulau Pinang, Malaysia.
author
Maziani
Sabudin
School of Computer Sciences, University Sains Malaysia 11800 Pulau Pinang, Malaysia.
author
text
article
2022
eng
Dimensionality reduction is among the data mining process that is used to reduce the noise and complexity of features in various datasets. Feature selection (FS) is one of the most commonly used dimensionalities that reduces the unwanted features from the datasets. FS can be either wrapper or filter. Wrappers select subsets of the feature with better classification performance but are computationally expensive. On the other hand, filters are computationally fast but lack feature interaction among selected subsets of features which in turn affect the classification performance of the chosen subsets of features. This study proposes two concepts of information theory mutual information (MI). As well as entropy (E). Both were used together with binary cuckoo optimization algorithm BCOA (BCOA-MI and BCOA-EI). The target is to improve classification performance (reduce the error rate and computational complexity) on eight datasets with varying degrees of complexity. A support vector machine classifier was used to measure and computes the error rates of each of the datasets for both BCOA-MI and BCOA-E. The analysis of the results showed that BCOA-E selects a fewer number of features and performed better in terms of error rate. In contrast, BCOA-MI is computationally faster but chooses a larger number of features. Comparison with other methods found in the literature shows that the proposed BCOA-MI and BCOA-E performed better in terms of accuracy, the number of selected features, and execution time in most of the datasets.
Journal of Information Technology Management
Faculty of Management, University of Tehran
2980-7972
14
v.
Special Issue: 5th International Conference of Reliable Information and Communication Technology (IRICT 2020)
no.
2022
203
222
https://jitm.ut.ac.ir/article_84900_0a6603fdfdf3514291700cf7edb1497b.pdf
dx.doi.org/10.22059/jitm.2022.84900
A Modified UTAUT Model for Hospital Information Systems Geared Towards Motivating Patient Loyalty
Saleh Nasser
Rashid Alismaili
PhD Candidate, College of Computing & Informatics, University Tenaga Nasional, Selangor, Malaysia
author
Mohana
Shanmugam
Senior Lecturer, College of Computing & Informatics, University Tenaga Nasional, Selangor, Malaysia
author
Hairoladenan
Kasim
Senior Lecturer, College of Computing & Informatics, University Tenaga Nasional, Selangor, Malaysia.
author
Pritheega
Magalingam
Senior Lecturer, Advanced Informatics Department, Razak Faculty of Technology and Informatics, University Technology Malaysia.
author
text
article
2022
eng
Healthcare service institutions (HSIs) have sought ways to motivate patient loyalty in response to surging rates of medical tourism. Previous research indicates that Hospital Information System (HIS) is essential for HSIs to gather, measure, and analyze the massive amounts of data required to generate patient loyalty. There is currently no consensus on the factors that comprise HIS specifically geared towards motivating patient loyalty (HISPL). Furthermore, HIS requires full adoption by HSI staff to be effective. Thus, to reduce wastage of HSI resources, it is necessary to predict whether a given HIS specifically geared towards motivating patient loyalty is likely to be adopted. The purpose of this study is to reveal the factors that comprise HISPL and to modify the Unified Theory of Acceptance and Use of Technology (UTAUT) model to help predict the likelihood of an HISPL to be fully adopted by HSI staff. The results revealed that pertinent HISPL factors are capability, configurability, ease of use/help desk availability and competence (EU), and accessibility/shareability (AS). Using these factors, the UTAUT model was modified to fit the specific needs of HISPL. The modifications are theoretical and will have to be validated in future empirical studies.
Journal of Information Technology Management
Faculty of Management, University of Tehran
2980-7972
14
v.
Special Issue: 5th International Conference of Reliable Information and Communication Technology (IRICT 2020)
no.
2022
223
234
https://jitm.ut.ac.ir/article_84901_c0ff51dbbad7222efb7434ba9de78a6b.pdf
dx.doi.org/10.22059/jitm.2022.84901
Hospital Information System for Motivating Patient Loyalty: A Systematic Literature Review
Saleh Nasser
Rashid Alismaili
PhD Candidate, College of Computing & Informatics, University Tenaga Nasional, Selangor, Malaysia
author
Mohana
Shanmugam
Senior Lecturer, College of Computing & Informatics, University Tenaga Nasional, Selangor, Malaysia.
author
Hairoladenan
Kasim
Senior Lecturer, College of Computing & Informatics, University Tenaga Nasional, Selangor, Malaysia
author
Pritheega
Magalingam
Senior Lecturer, Advanced Informatics Department, Razak Faculty of Technology and Informatics, University Technology Malaysia, Kuala Lumpur.
author
text
article
2022
eng
Healthcare service institutions (HIS) seeking to motivate patient loyalty have identified Hospital Information Systems (HIS) as a potential solution to gather, measure, and analyze the healthcare data necessary for this goal. The purpose of this systematic review of the literature is to reveal how prevalent the use of HIS with respect to motivating patient loyalty, and to investigate the efficacy of HIS in doing so. To generate data, published empirical studies and conference papers from the past five years were compiled from the following online databases: Scopus, ACM Digital Library, IEEE Xplore, ScienceDirect, and Emerald Insight. The search results indicate that, while the use of HIS in motivating patient loyalty is rare relative to other topics within the general field of HIS, HIS use have a significant positive impact on patient satisfaction, which is understood in the literature to be directly related to patient loyalty. There remains a gap in empirical studies on the direct application of HIS with the purpose of increasing patient loyalty. Future research may be required on the development of an HIS focused on motivating patient loyalty, which can be empirically tested in a real-world HSI setting.
Journal of Information Technology Management
Faculty of Management, University of Tehran
2980-7972
14
v.
Special Issue: 5th International Conference of Reliable Information and Communication Technology (IRICT 2020)
no.
2022
235
244
https://jitm.ut.ac.ir/article_84902_952703f1f985bbd2e9c39df70ac4911c.pdf
dx.doi.org/10.22059/jitm.2022.84902
Continued Usage of E-Learning: A Systematic Literature Review
Ken Ditha
Tania
Azman Hashim International Business School, University Technology Malaysia, Johor Bahru, Malaysia; Sriwijaya University, Faculty of Computer Science, Palembang, Indonesia.
author
Norris Syed
Abdullah
Azman Hashim International Business School, University Technology Malaysia, Johor Bahru, Malaysia.
author
Norasnita
Ahmad
Azman Hashim International Business School, University Technology Malaysia, Johor Bahru, Malaysia.
author
Samsuryadi
Sahmin
Sriwijaya University, Faculty of Computer Science, Palembang, Indonesia.
author
text
article
2022
eng
During the COVID-19 pandemic, the usage of e-learning systems became the main challenge for many universities. E-learning has risen as cutting-edge method for promoting learning delivery. To ensure productive use, it is important to continue using e-learning. Numerous studies have shown that continued usage by the user is the indicator of success in e-learning, and in recent years, research on continued use of e-learning is being explored at a higher level than before. However, to date, there have been no attempts to systematically analyse these studies in order to provide researchers and practitioners with a picture of the current state of continued usage of e-learning.The aim of this research is to provide an in-depth look at the theory of continued use information systems in e-learning context. In this study, we used a systematic review approach to collect, evaluate, and synthesize data on the accuracy and value of previous articles published in digital databases between 2009 and 2019 that were based on this research area.To include all relevant research papers that were written during this period time, we used a Systematic Literature Review (SLR) approach to collect and review studies by following a predefined review process that included both automated and manual search strategies.We listed 87 primary studies from the review study that presented research on the continued use of e-learning. These studies were analysed using a comprehensive mapping method that collected relevant information to address a series of research questions. We summarized and analysed the published articles, which covered a wide range of research subjects, including the majority of factors that affect e-learning use.While research on the continued use of e-learning is growing and providing a promising new field of research, the systematic review found that a clearer understanding of the environment and path is not well reported. This research will contribute to a better understanding of the factors that affect e-learning use over time
Journal of Information Technology Management
Faculty of Management, University of Tehran
2980-7972
14
v.
Special Issue: 5th International Conference of Reliable Information and Communication Technology (IRICT 2020)
no.
2022
245
254
https://jitm.ut.ac.ir/article_85008_1202782a68dea62efbc7ec711d6282fc.pdf
dx.doi.org/10.22059/jitm.2022.85008