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                <text>Anawar, Syarulnaziah</text>
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                <text>The telecommunication industry is the leading industry in big data trends as this industry has the most capable infrastructure for big data. However, the adoption of big data in telecommunication services also raises important security and privacy challenges due to the high volume, velocity, and variety of big data characteristics. To address the issue, this study shed light on the security and privacy challenges of big data adoption in the telecommunication industry. This study focuses on investigating the security and privacy challenges for data users in telecommunication services from the lens of the TOE framework and examines the mitigation strategies to address the privacy and security challenges. This study is conducted using qualitative methodology. From the perspectives of data users (telecommunication providers), it could be concluded that data management, data privacy, data compliance, and regulatory orchestration challenges are the most pressing concerns in big data adoption. This study offers contributions in presenting a thematic classification of security and privacy challenges and their mitigation strategies for big data adoption in the telecommunication industry. The thematic classification highlights potential gaps for future research in the big data security domain. This study is significant in that it provides empirical evidence for the perspectives of telecommunication data users in addressing privacy and security issues that are related to big data adoption.</text>
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                <text>Copyright (c) 2022 SYARULNAZIAH ANAWAR, NUR FADZILAH  OTHMAN, SITI RAHAYU SELAMAT, ZAKIAH AYOP, NORHARYATI  HARUM</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 16 No. 19 (2022); pp. 81-97</text>
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                <text>1865-7923</text>
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                <text>big data</text>
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                <text>Security and Privacy Challenges of Big Data Adoption: A Qualitative Study in Telecommunication Industry</text>
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                <text>Saldaña Bartra, Jean Pierre</text>
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                <text>The article focuses on the orientation of educational aids for blind people. The prototype was made with the Scrum methodology and the prototype design tool called Balsamiq was used. Its objective is to design Prototypes of mobile application oriented to educational aid for blind people in Peru so that they have a decent and adequate education. The prototype is represented by 4 sprints, the first of user validation, the second of user registration, the third of classes or courses and the last of videoconferencing. In the application, a validation of the existing or new user's data was performed, where the user accesses the courses, he/she takes, so that he/she can choose a class by voice message, choosing to have a videoconference with a teacher. The proposed result for blind people to have a proper education is to optimize the learning process, through a prototype application, for each user or student where they can adapt in their studies, in addition to having blind people to make appropriate decisions in education, in the same way enhance the skills that these people have in education with a prototype of help for blind people designed in a prototype mobile application in Peru.</text>
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                <text>https://online-journals.org/index.php/i-jim/article/view/32075</text>
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                <text>https://online-journals.org/index.php/i-jim/article/view/32075/11965</text>
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                <text>Copyright (c) 2022 Jean Pierre Saldaña Bartra, Jhony Felix Huayllani Puja, Margarita  Giraldo Retuerto, Laberiano  Andrade-Arenas</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 16 No. 17 (2022); pp. 130-147</text>
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                <text>1865-7923</text>
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                <text>Prototype of Mobile Application Oriented to the Educational Help for Blind People in Peru</text>
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                <text>Ganokratanaa, Thittaporn</text>
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                <text>Ketcham, Mahasak</text>
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                <text>This paper presents an intelligent autonomous document mobile delivery robot using a deep learning approach. The robot is built as a prototype for document delivery service for use in offices in which it can adaptively move across different surfaces, such as terrazzo, canvas, and wooden. In this work, we introduce a convolutional neural network (CNN) to recognize the traffic lanes and the stop signs with the assumption that all surfaces have identical traffic lanes. We train the model using a custom indoor traffic lane and stop sign dataset with the label of motion directions. CNN extracts a direction-of-motion feature to estimate the robot's direction and to stop the robot based on an input image monocular camera view. These predictions are used to adjust the robot's direction and speed. The experimental results show that this robot can move across different surfaces along with the same structured traffic lanes, achieving the model accuracy of 96.31%. The proposed robot helps to facilitate document delivery for office workers, allowing them to work on other tasks more efficiently.</text>
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                <text>https://online-journals.org/index.php/i-jim/article/view/32071</text>
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                <text>Copyright (c) 2022 Mahasak Ketcham, Thittaporn  Ganokratanaa</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 16 No. 21 (2022); pp. 4-22</text>
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                <text>1865-7923</text>
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                <text>Autonomous Document</text>
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                <text>Deep Learning</text>
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                <text>Mobile Selivery Robot</text>
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                <text>An Intelligent Autonomous Document Mobile Delivery Robot Using Deep Learning</text>
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                <text>Syahidul Haq, Mohammad</text>
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                <text>Nunuk Hariyati</text>
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                <text>Digital technology has enabled the dissemination of all types of information, replacing traditional formats with automated systems. As a result of the development of digital technology, the library has also entered a new era, which is then called the digital library era. Digital library is considered as one form of modern library where the dependence will be on modern technology in the conversion of information and data to digital formats to achieve greater effectiveness and efficiency in storing and processing information and then transmitting it. Therefore, the purpose of this study is to develop an Android-Based Digital Library Application at the Department of Education Management, State University of Surabaya. This study uses the research and development method proposed by Borg and Gall by applying the nine stages. The results of this study indicate that the development of an Android-Based Digital Library Application at the Education Management Department, State University of Surabaya has been successfully implemented with the results of the trial getting an average percentage above 80% which is included in the very feasible category to be implemented. Even so, evaluation and monitoring must continue to be carried out to prevent errors or problems that may occur, as well as material to continue developing this Android-Based Digital Library Application.</text>
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                <text>Copyright (c) 2022 mohammad syahidul haq, Muchlas Samani, Karwanto, Nunuk Hariyati</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 16 No. 11 (2022); pp. 224-237</text>
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                <text>1865-7923</text>
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                <text>Hattab, Shayma</text>
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                <text>Abdeen, Ahmad</text>
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                <text>Etaiwi, Wael</text>
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                <text>The use of mobile phones is increasing all the time. These phones have become increasingly vital and beneficial in all parts of our lives, including social and business sides. Mobile applications are expanding with new upgrades and editions every day due to this expansion. This increase makes it more difficult for consumers, particularly those who are not technologically minded, to determine which applications to install and use. It is much more difficult for developers to ensure that their apps will be used and lucrative. Several research papers have been published in the recent five years to investigate mobile applications' rating to aid users and developers in making the best decision possible by employing various classifications and methodologies. This study provides a literature review research analyzed mobile app evaluations from 2018 to 2022 using various datasets.&amp;nbsp; In addition, a new taxonomy is proposed to classify the research papers that looked at the rating of mobile apps into three categories: predictive modeling, sentiment analysis, and priority ranking of the most significant features</text>
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            <description>A language of the resource</description>
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            <description>An entity responsible for making the resource available</description>
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                <text>International Association of Online Engineering (IAOE), Vienna, Austria</text>
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                <text>https://online-journals.org/index.php/i-jim/article/view/32051/12111</text>
              </elementText>
            </elementTextContainer>
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          <element elementId="47">
            <name>Rights</name>
            <description>Information about rights held in and over the resource</description>
            <elementTextContainer>
              <elementText elementTextId="50168">
                <text>Copyright (c) 2022 Sabreen Abulhaija, Shayma  Hattab, Ahmad Abdeen, Wael  Etaiwi</text>
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              <elementText elementTextId="50169">
                <text>https://creativecommons.org/licenses/by/4.0</text>
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              <elementText elementTextId="50170">
                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 16 No. 19 (2022); pp. 133-146</text>
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              <elementText elementTextId="50171">
                <text>1865-7923</text>
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            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="50172">
                <text>Machine Learning</text>
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              <elementText elementTextId="50173">
                <text>Mobile Applications</text>
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                <text>Rating Performance</text>
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                <text>Sentiment Analysis</text>
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              <elementText elementTextId="50176">
                <text>Predictive Modeling</text>
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            <name>Title</name>
            <description>A name given to the resource</description>
            <elementTextContainer>
              <elementText elementTextId="50177">
                <text>Mobile Applications Rating Performance: A Survey</text>
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            </elementTextContainer>
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            <description>The nature or genre of the resource</description>
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              <name>Title</name>
              <description>A name given to the resource</description>
              <elementTextContainer>
                <elementText elementTextId="15984">
                  <text>International Journal of Interactive Mobile Technologies (iJIM)</text>
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      <name>Dataset</name>
      <description>Data encoded in a defined structure. Examples include lists, tables, and databases. A dataset may be useful for direct machine processing.</description>
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              <elementText elementTextId="50132">
                <text>Almasri, Abdullah Mahmoud</text>
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                <text>Gouveia, Luis Borges</text>
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                <text>Fernandes, Samanta Souza</text>
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                <text>2022-07-26</text>
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                <text>Energy wastage through irresponsible smartphone use comprises a significant sum. Using a secondary desk-based literature review, this paper evaluates con-temporary literature to calculate an approximate estimate of the amount of energy wasted through irresponsible smartphone use by US users on an annual basis. Conservative estimates purely based on overcharging of smartphones in the US suggest that the figure is in excess of US$400m per annum. A variety of factors contribute to irresponsible smartphone use, which are predominantly behavioral in nature. This paper highlights some of the impacts of excessive smartphone use and considers steps which might be taken by users themselves to reduce energy wastage during smartphone use. In addition, suggestions are made to manufac-turers to help them ‘nudge’ users into more responsible behavior through the principles of behavioral economics.</text>
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                <text>International Association of Online Engineering (IAOE), Vienna, Austria</text>
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            <description>Information about rights held in and over the resource</description>
            <elementTextContainer>
              <elementText elementTextId="50143">
                <text>Copyright (c) 2022 Abdullah M F Almasri, Luis Borges Gouveia, Samanta Souza  Fernandes</text>
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              <elementText elementTextId="50145">
                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 16 No. 14 (2022); pp. 201-210</text>
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              <elementText elementTextId="50146">
                <text>1865-7923</text>
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            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="50147">
                <text>Energy-Consumption</text>
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                <text>Sustainability</text>
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                <text>User-Behavior</text>
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                <text>Estimating the Cost of Wasted Energy During Overcharging Smartphones and Using COVID19 Apps</text>
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                <text>Dahri, Nisar Ahmed</text>
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                <text>Muhammad Saleem Vighio</text>
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                <text>Waleed Mugahed Al-Rahmi</text>
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                <text>Omar A. Alismaiel</text>
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                <text>Teachers' professional development plays a significant role in the sustainability of quality education. However, providing sustainable professional development programs is difficult because of various challenges, such as insufficient government policies, a scarcity of qualified personnel and training opportunities, lack of access and resources, etc. The COVID-19 epidemic has further intensified the problem and adversely harmed schoolteachers’ interest, motivation, and involvement. In such situations, technology can play a positive role in carrying out sustainable educational activities. However, little focus has been paid to the use of technology for the sustainable professional development of teachers, particularly in the under developing countries. Due to its unique qualities, mobile learning is receiving much attention as an essential component to impart sustainable education to teaching professionals. It represents a paradigm shift in ongoing professional development, particularly for teachers who are constrained by time, resources, and travel requirements. Mobile learning is an alternate and complementary technique to enhance teachers' professional development, allowing them to work, learn, and attain their full potential.&amp;nbsp; To meet the sustainable development goal of teachers’ education, in [1] we have provided a framework for teachers' continuous professional development (CPD). Based on that, we have also developed a mobile App to provide training and ongoing support to teachers’ professionals. This study evaluates the usability of our mobile App for the sustainable development of teachers. Usability characteristics of usefulness, efficiency, and satisfaction are measured using a usability testing approach. 107 elementary school instructors took part in the study. Participants in the study performed eight usability tasks in the same room using the researcher's internet bandwidth. The participants' time and completion rate were recorded. A post-test questionnaire followed usability tasks. After the usability activities, participants completed a System Usability Scale questionnaire to assess overall satisfaction with the training app and gain a broad picture of the program. The application achieved a 100% completion rate for all tasks, indicating an extremely effective, efficient, and sustainable system. Moreover, the satisfaction percentage was also found to be 84.1 percent, which is considered highly satisfactory.</text>
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                <text>Copyright (c) 2022 Nisar Ahmed Dahri, Muhammad Saleem Vighio , Waleed Mugahed Al-Rahmi , Omar A. Alismaiel</text>
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                <text>Leaf identification image is consistently a difficult task when using computer vision. The convolutional component extraction methods on images have their impediment and limitation, such as low accuracy, are not adaptable and less promising when converted to genuine application. The reasons are the lack of dataset needed to build a recognition model. Likewise, using the computer as a tool is bothering as it restricts the task in the research lab only. Convolutional Neural Network (CNN) shows a great solution for the computer version. Subsequently, this project utilizes the CNN’s properties to solve the image classification task, and the CNN model chosen is run in Phyton coding in TensorFlow Lite. It is similar to TensorFlow’s running code, but this project focused on building an Android application. It can perform faster and produce high accuracy results. There are four types of leaves involved in this project: betik, kari, pudina, and cengal. As a result, the model could reach around 99% accuracy with a 0.176 error rate. Ultimately, an Android application called Leaf identification is created. The model is sent and integrated into the apps that work with a concentrated information base to help put away and deal with the pictures. Hence, an Android leaf image identifier using CNN is proposed to solve the stated problem and is believed to contribute to education and research.</text>
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            <description>Information about rights held in and over the resource</description>
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                <text>Copyright (c) 2022 Hazwan Hakim, Sharifa, Dr Kadir , Umi Fadlillah</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 16 No. 15 (2022); pp. 62-77</text>
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                <text>1865-7923</text>
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                <text>leaf identification</text>
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                <text>Android Application of Leaf Identification System</text>
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                  <text>International Journal of Interactive Mobile Technologies (iJIM)</text>
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                <text>Masmuzidin, Masyarah Zulhaida</text>
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                <text>Of late, Augmented Reality (AR) has become one of the important tools in teaching and learning, which is made evident by an increasing number of studies focusing on such technology over the past few years. However, studies focusing on the design of AR learning tools or applications for young children have been seriously lacking. Therefore, this paper provides a detailed account of the findings of a study carried out by the authors in which the Preferred Reporting Items for Systematic Review and Meta-Analysis (PRISMA) method was used to select and critically review related articles from two leading databases, namely Scopus and Web of Science (WoS) databases. Overall, 16 articles relating to the design and development of AR learning applications were selected from such databases, which revealed five themes and nine subthemes as follows: (1) information design (with three sub-themes), (2) interface design (with one subtheme), (3) interaction design (with two subthemes), (4) imagination (with two subthemes), and (5) immersion (with one subtheme). As such, all five themes relating to the design aspects of AR learning applications need to be carefully addressed and considered in developing efficacious AR learning applications for young children. In summation, the findings of this study based on the systematic review of the current AR literature can be used as a guideline for developers of AR learning applications to ensure their products can be both efficacious and entertaining, the impact of which can surely improve children’s learning performance, motivation, and interest.</text>
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            <description>Information about rights held in and over the resource</description>
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              <elementText elementTextId="50068">
                <text>Copyright (c) 2022 MASYARAH ZULHAIDA MASMUZIDIN, Associate Professor, Suhazlan Suhaimi</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 16 No. 17 (2022); pp. 60-74</text>
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              <elementText elementTextId="50071">
                <text>1865-7923</text>
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                <text>A Systematic Review of the Design  of Augmented Reality Applications for Young Children</text>
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                <text>Saleh, Ashraf</text>
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                <text>Enaizan , Odai</text>
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                <text>The growth of mobile commerce marketplaces worldwide has been boosted by modern advances in digital technology. However, Privacy and security are still concern in m-commerce application. Since the previous study has researched the link between security and privacy and purpose to use, the factors that influence the formation of privacy and security in m-commerce are mostly unidentified. On the basis of UTAUT2, this study investigates the factors of security and privacy effecting mobile commerce acceptance. A hybrid SEM-ANN method was utilized to identify non-linear and compensatory interactions. Compensatory and Linear models are based on the idea that a deficiency in one component might also be compensated for by other variables. Linear and Non-compensatory models, on the other hand, seem to overcomplicate buyer decision mechanisms. Survey criteria have been conducted to obtain 890 mobile commerce consumer’s datasets utilizing an application on m-commerce. The following are the results. (1) M-commerce acceptability and use were positively influenced by five determinants (Security, performance expectancy, effort expectancy, habit, and price value). (2) Un-authorization, Error, secondary usage, collection, control, and awareness were all shown to directly and significantly negatively impact M-COMMERCE acceptance and use. (3) Three additional variables (social influence, hedonic motivation, and facilitating conditions) did not affect customers' intentions to use m-commerce applications in Jordan. In m-commerce, the integrated model expects a 45% percent increase in security and privacy.</text>
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                <text>Copyright (c) 2022 Ashraf Saleh, Odai  Enaizan , Bilal  Eneizan , Lu’ay  Al-Mu’ani, Ahmad  Al-Radaideh</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 16 No. 21 (2022); pp. 125-152</text>
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                <text>1865-7923</text>
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                <text>Privacy</text>
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                <text>A Hybrid SEM and Neural Network Approach to Understand and Predict the Determinants of Consumers’ Acceptance and Usage of Mobile-Commerce Application</text>
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