Factors Influencing the Adoption of Open Government Data in The Public Sector: A Systematic Literature Review

Open Government Data (OGD) adoption has been extensively studied; however, few have examined the success factors of OGD adoption in the public sector context. The benefits of leveraging data in enhancing public service delivery have been a significant concern to the top management of the public sector in providing them insight for strategic planning together with timely decision making. The aim of this paper is to review recent literature from the year 2010 to 2018 on OGD adoption at the organizational level in the public sector context. We systematically searched all English papers that were indexed in seven electronic journal databases (Scopus, Emerald, Web of Science, Science Direct, ACM, Springer and IEEE) which include journals, proceedings, books and book chapters. Few papers were acquired from snowballing techniques and ResearchGate webpage. A total of 886 publications were identified in this process and 25 papers have finally been selected which are deemed as relevant papers for the analysis stage. As derived from 25 selected papers, this study has identified 16 factors that influence the OGD adoption which has been categorized into three main dimensions: Technological, Organizational and Environmental (T-O-E). Policy, technological competence, top management support and organization culture are among the most influential factors of OGD adoption. Therefore, this study is expected to assist other researchers to understand the current stage of OGD adoption in terms of influential factors, research domains and research methodology

Measuring satisfaction on augmented reality courseware for hearing-impaired students: adjustment formula form system usability scale

Satisfaction is an important usability attribute in developing a courseware which involves end users. Measuring satisfaction among hearing-impaired students is different than measuring it among common students because they learn using sign language and have different learning styles. An educational courseware for hearing-impaired students is employed to measure this. The courseware uses the Augmented Reality technology and it is called PekAR-Mikroorganisma. Hence, this article focuses on the methodology of measuring and the attributes that contribute to users’ satisfaction. An adaptation of the System Usability Scale was used to identify the satisfaction value. Fifteen hearing-impaired students were employed as a case study. Findings show that the average satisfaction value of SUS in using PekAR Mikroorganisma is 87.8 per cent, and it consider as high or B grade. It is hoped PekAR-Mikroorganisma can help the hearing-impaired to understand lessons better through the enhancement of their comprehension on abstract concepts. The teaching and learning using AR able to assure equity in education for the students in understanding certain topics. The study suggested the used of AR for hearing-impaired students for various level up to the higher education

Conceptual model of open government data adoption for local authorities in Malaysia

One of the key initiatives in Eleventh Malaysia Plan (RMK-11) in enhancing public service delivery is to leverage data to enhance outcomes and lowering the costs. In line with this vision, implementation of digital government is planned to offer more innovative services, that is accessible to the citizen and provide efficient and integrated service delivery by 2020. Thus, Malaysia has launched its Public Sector Open Data (PSOD) portal for agencies to share data with each other and to facilitate Open Government Data (OGD) philosophy and policies. Data from official sources are stored in a centrally-accessible repository. However, the rate of adoption by the government agencies specifically local authorities in sharing their dataset at PSOD portal shows a very slow progress. This scenario is in contrast to the needs of smart city implementation that require a combination of open data and Internet-of-Things technology at the local authorities’ level. Therefore, the aim of this paper is to identify and analyze the influencing factors of OGD adoption by conducting expert review with five (5) experts from a central agency, local authorities and public university. Fifteen (15) identified factors from the literature review and eleven (11) factors have been validated and individually ranked by the selected experts. A conceptual model of OGD adoption for local authorities in Malaysia which is based on Technology-Organisation-Environment, Diffusion of Innovation and Institutional Theory was proposed as the outcome of the study

Predictive visual analytics for machine learning model in house price prediction: a case study

As an individual, buying a house is a nerve-racking process. It requires a huge amount of money, time-consuming and relentless worry whether it is a good deal or not. The uncertainty in the housing market and the motivation to own a house have raised questions among homeowners and buyers regarding how accurate the house prices can be predicted, and what attributes or factors influenced the house prices. There were studies conducted in Malaysia that applied machine learning in predicting house prices. However, most of the studies using the Valuation and Property Service Department (VPSD) dataset were conducted in different states, namely Selangor, Kuala Lumpur, and Johor. Thus, there is an opportunity to extend the study to predict the house price in Penang state, Malaysia due to the increase in house prices in Penang is the highest among all the states in Malaysia. Therefore, this study aims to produce a machine learning predictive model using 2,666 terrace houses actual property transactions in Penang from VPSD from January 2018 until December 2019. The dataset is split into a train-test (estimation-validation) set with 80% train set and 20% test set (80:20) proportion and separated by two groups of different feature selection dataset which is all feature and selected features. Hence, to capture the different performances from both groups. The predictive model development using Multiple Linear Regression, Random Forest, and K-Nearest Neighbors algorithms with different parameters. The predictive model's performance was evaluated based on error measurement metrics such as Mean Absolute Error (MAE), Root Mean Square Error (RMSE), and Mean Absolute Percentage Error (MAPE). Its reveals that Random Forest of 250 trees using all feature has been chosen as the best model among others which produces 23,786.856 for Root Mean Square Error (RMSE), 13,769.965 for Mean Absolute Error (MAE), and 4.674% Mean Absolute Percentage Error (MAPE) from the train set

Enhancing classroom engagement through padlet as a learning tool: a case study

Activities conducted in classrooms are important to acquire students’ understanding and participation in a learning environment. Some of perceived barriers that prevent students to participate in classroom activities include difficulty to speak, shy, fear to interact or provide comments. This paper focuses on using Padlet for e-learning and presents the activities of engaging and stimulating students in active learning. This is one way of how instructors can obtain information from each student by encouraging participation. The research employs quantitative approach. A semi-structured questionnaire was distributed among 39 postgraduate students who enrolled in the Business Statistics for Data Science course. Factors such as motivation, active learning, collaboration, learning opportunity, usefulness, ease of use, and satisfaction were used to measure their engagement. The findings show that active learning through Padlet has a significant effect on improving students’ engagement in classroom activities

Mobile application dictionary for hearing impaired students

Mobile applications have been acknowledged by societies as a support tool that can be accessed everywhere via smartphone or any handheld device. The use of technology nowadays is not only limited to normal people; it can also be used by the disable community. Hearing-impaired people usually receive education via sign language and the dictionary is one tool used in schools to teach hearing-impaired students. There are several issues related to sign language dictionary such as the thickness of dictionary which makes it difficult to bring anywhere. Besides, teachers and students need to take longer time to access the targeted information. This research is conducted based on two main aspects: development of mobile application for the dictionary for the hearing-impaired and evaluation involving experts in the related research. This mobile application has been developed based on the Software Development Model of Mobile Application Dictionary. This model consists of five phases, which are analysis, design, development, prototyping and evaluation. The evaluation on mobile application for the dictionary involved four experts who have evaluated the interface design and learning design. The human computer interaction for mobile principles, dual coding theory, cognitive load theory, and multimedia theory have been used in the development of the dictionary. Based on the experts’ review, it is found that the value of content validity index is 0.91 for the features of interface design and 0.83 for learning design. Hence, this shows the value of content validity index is acceptable. The research aim is to improve the quality of sign language learning for hearing-impaired students and community related to them

Factors influencing the adoption of open government data in the public sector: a systematic literature review

Open Government Data (OGD) adoption has been extensively studied; however, few have examined the success factors of OGD adoption in the public sector context. The benefits of leveraging data in enhancing public service delivery have been a significant concern to the top management of the public sector in providing them insight for strategic planning together with timely decision making. The aim of this paper is to review recent literature from the year 2010 to 2018 on OGD adoption at the organizational level in the public sector context. We systematically searched all English papers that were indexed in seven electronic journal databases (Scopus, Emerald, Web of Science, Science Direct, ACM, Springer and IEEE) which include journals, proceedings, books and book chapters. Few papers were acquired from snowballing techniques and ResearchGate webpage. A total of 886 publications were identified in this process and 25 papers have finally been selected which are deemed as relevant papers for the analysis stage. As derived from 25 selected papers, this study has identified 16 factors that influence the OGD adoption which has been categorized into three main dimensions: Technological, Organizational and Environmental (T-O-E). Policy, technological competence, top management support and organization culture are among the most influential factors of OGD adoption. Therefore, this study is expected to assist other researchers to understand the current stage of OGD adoption in terms of influential factors, research domains and research methodology

Proposed model of students acceptance of massive open online courses

The importance of using Massive Open Online Courses (MOOCs) as a source of learning can be clearly seen from the increase of the number of universities that have chosen to use them to offer courses to their students. While many efforts have been made in the studies of MOOCs, the understanding of people's behaviour and intent is a key issue in MOOCs. This study aims to identify the factors that will influence the students and learners behavioural intention to accept MOOCs. This research will compare the existing UTAUT2 model as the theoretical framework which is used to investigate the factors that influence user acceptance. Finally, this article proposed a model to support the behavioural intention of using MOOCs by integrating the educational value construct. Using the proposed model, we can investigate which of the factors that affect the behavioural intention of using MOOCs have a significant influence on the student’s acceptance of MOOCs. The results can be helpful for universities and schools introducing MOOCs to their students in taking into consideration the factors for ensuring students are interested to participate and can benefit from the technology

User experience factors that influence users’ satisfaction of using digital library

Digital library is one of the services that is provided by academic institutions. In any product, service or application, user experience (UX) is an important indicator of the service quality which relates to user satisfaction. The aim of this paper is to propose the UX factors that influence users’ satisfaction of using digital library. Literature review has been used to identify the factors and the research model had been developed. For this study, factors that has been identified through literature review were selected as the factors that influence users’ experience of using digital library which are attractiveness, efficiency, dependability, stimulation, and novelty

RFID-Based Electronic Fare Toll Collection System for Multi-Lane Free Flow - A Case Study towards Malaysia Toll System Improvement

RFID-based Electronic Toll Collection (ETC) system for Multi-lane free flow (MLFF) is a system that enables collection of toll payments electronically using RFID tags, allowing for nonstop toll collection and free-flow of high-speed travelling at toll highway with use of ordinary multilane road segments and aim to eliminate toll plazas and booths. The system allows vehicles with passive RFID tag to emit communication with front-end reading system to uniquely identifying and classifying each vehicle and transfer the toll transaction back to a centralized back office system for revenue collection by deducting from the account of vehicle owner. The RFID-based ETC systems have been implemented in developed and developing countries like Turkey, Taiwan and countries of South America. The review is focused on the RFID-based ETC system architecture that has been implemented by some these countries. The review may help to understand how the overall system works hence it shall provide the essential information in migrating and re-engineering current toll booth ETC lane system to MLFF system and serve as a reference view of the system concept in developing a new RFIDBased ETC system for MLF