No Image Available
Information Science & Digital Society
Author/Editor: Su-Mae Tan, Tze Wei Liew & Han Foon Neo Category: Books, Science & Technology Publisher: MMU Press Year: 2023 e-ISBN/ISBN: 978-629-98862-1-1 Price: RM35 Add to Cart

Information science has become one of the most significant fields in a time when technology is changing quickly, and digital technologies are used everywhere. This book details how information science and our ever-changing digital world work together. Information has become a vital resource that affects how we communicate, learn, and work within today’s society. This book looks into theory models, how they are applied in the real world, and how they contribute to societal implications. This study book was carefully put together with contributions focusing on critical issues and developing trends from scholars in information science. It articulates the integration of information science and the digital society through empirical research, case analyses, literature reviews, and theoretical discourses. The interdisciplinary approach incorporates various fields such as user interface design, information processing theories, e-business, e-learning, human-computer interaction, and emotional intelligence. This literary work is a tribute to the various obstacles, opportunities, and ethical considerations stemming from the utilization of information in the era of digital technology. In light of the growing digitization of our global society, Information Science and Digital Society book aims to make a meaningful contribution towards establishing a sustainable and prosperous digital society through promoting knowledge advancement, cultivating critical thinking, and stimulating innovative solutions.


Table of Contents:

Chapter 1Chapter 2Chapter 3Chapter 4Chapter 5Chapter 6Chapter 7Chapter 8Chapter 9Chapter 10

Chapter 1

Right Brain Application in Mathematics Teaching and Learning in Malaysian Institutions of Higher Education

By Chun Fui Tan [0000-0001-5614-4909], Sin Yin Tan [0000-0001-8606-3827] and Lay Hong Tan [0000-0001-7544-1829]


Abstract – The left brain’s function has long been a topic of intense debate among members of society at all levels. This study discusses the function and role of the right brain in greater depth. The discourse offers a practical and effective learning foundation for promoting memory retention, underpinning the active and frequent involvement of the right and left brains in successfully optimizing teaching and learning mathematics. This chapter advocates mind maps, a crucial component of output learning that facilitates knowledge processing per the input learning model. Overall, the authors recommend leveraging right-brain application techniques to enhance mathematics education.


Chapter 2

The Effects of Coloured Brain and Emotional intelligence in Creating Positive Workplace Experiences in the Digital Economy

By Susan Tee Suan Chin [0000-0001-8872-414X], Lily Lau and Arthur F. Carmazzi


Abstract– The digital economy is a crucial component of Malaysia’s economy, serving as one of its primary pillars and currently accounting for 22.6% of the nation’s gross domestic product (GDP). It is projected that the proportion of the digital economy to Malaysia’s GDP will increase to 25.5% by 2025. The rapidly changing nature of the digital economy necessitates adopting a novel approach to ensure continued relevance, resilience, and readiness to drive Malaysia’s economic expansion. As Malaysia endeavours to transform into a high-income, digitally advanced country, cultivating and retaining exceptional talent assumes critical importance. Stronger employee growth, productivity, and well-being have been prioritised in Malaysia. Research on emotional intelligence and the coloured brain has suggested their relevance and importance in creating a positive workplace, which was also examined in this study. One hundred ten executives in the selected organisation were chosen as the respondents. The three variables in this study are emotional intelligence and coloured brain, which are the independent variables, while workplace harmony is the dependent variable. The study’s findings revealed that emotional intelligence and a coloured brain play important roles in an organisation’s workplace harmony.


Chapter 3

User Interface Design (UID): A Review of Design Trends and Effectiveness in UID for M-Learning Applications in Tertiary Education

Mawar Madiah, Haziman Madiah and Syasya Omar


Abstract – Using mobile devices to access learning content nowadays has become part of student cultures in learning activities. Numerous mobile learning or m-learning applications have been developed to attain the needs, spurring many human-computer interaction studies investigating the effectiveness of the user interface design (UID) in m-learning applications. This research examines UID trends of m-learning applications and determines their effectiveness, especially those used in tertiary education. A systematic literature review was conducted in which articles with the keywords “Mobile User Interface Design” were searched in IEEE Xplore and ScienceDirect databases and parameterized to include articles published between 2019 and 2023. The results add insights into the field of study and highlight areas of opportunity for future works, allowing a discussion on prospective research directions concerning user interface design (UID) in m-learning applications.


Chapter 4

What Predicts the Use Intention of Mobile Learning Technology? An Examination of TAM and Information Systems Success Model Factors

By Su-Mae Tan [0000-0002-1382-5592], Siew Chein Teo [0000-0002-5707-644X], Tze Wei Liew [0000-0003-0153-8649], Kai Ying Chua and Wei Ming Pang [0000-0002-3710-7595]


Abstract– Mobile learning is trending in higher education, facilitating educational content access and learning activities. However, the adoption of mobile learning technology is still far from optimal, warranting the investigation of factors that influence learners’ intention to use mobile learning tools. The study draws on two theoretical models: the technology acceptance model (TAM) and the DeLone and McLean (D&M) information systems success model. TAM suggests that perceived usefulness and perceived ease of use are key determinants of technology adoption. At the same time, the D&M model proposes that information quality, system quality, and service quality influence information systems adoption. Based on 184 valid responses, the multiple regression analysis revealed that perceived usefulness and service quality positively affect the use intention of mobile learning technology. On the other hand, the use intention of mobile learning technology is not influenced by perceived ease of use, information quality, and system quality. In addition to discussing these findings from the theoretical viewpoint, this chapter offers practical recommendations for mobile learning designers, teachers, and administrators to promote the adoption of mobile learning platforms among higher education learners.


Chapter 5

Team-Based Learning via Google Meet in an Online Environment During the COVID-19 Pandemic: A Case Study

By Leonard Chi Boon Yew [0000-0002-6523-6714]


Abstract – Team-based learning (TBL) is a valuable pedagogical tool to foster learning by imparting knowledge and skills to learners. During the Covid-19 pandemic in 2020, when students attending a foundation-level Physics course in a private university in Malaysia were required to participate in only online lessons without any face-to-face interactions, a strategy to implement TBL in a fully online learning environment was adopted. This strategy involved using Google Meet and covered the important concept of series-parallel circuits under the Physics topic of current and resistance. This article is a case study of the implemented TBL strategy, the theoretical foundation behind the strategy, the problems encountered due to the constraints of the online environment and other factors, and the researcher’s views and observations of the whole experience. The findings of this case study were based on the instructor’s observations, which highlighted three problems with implementing TBL. These problems include (1) Subject & time issues, (2) Inequal abilities of students (3) Online constraints. The significance of this case study is that it provides some issues to be considered and pitfalls to look out for when implementing online TBL for a foundation-level Physics course.


Chapter 6

Digital Solution in Advancing Financial Literacy Cultivation Among Kids

Vincent Chan [0009-0005-3593-2822], Nyaanaputhraan Prabakaran [0009-0007-9001-1406] and Shatiswaran Vigian [0009-0005-3593-2822]


Abstract – This paper illustrates and conducts an initial proof of concept study on our innovative mobile application. Owl Invest is a simple, easy-to-use application for children to learn and cultivate financial literacy. Children between the ages of 7-18 who grow in the digital era can learn best from Owl Invest due to its mobile application with gamification. This application is a great tool for teaching financial literacy as it provides relevant information about healthy ways of saving money, avoiding online scams, and understanding investment terms and concepts. Owl Invest coheres with the Sustainable Development Goals (SDG) of providing quality education to enhance future generations’ lives; and conforms with the notion that financial literacy should be cultivated at a young age so that the future generation knows how to manage their money more effectively and can become financially stable, build assets, and achieve their personal goals.

Chapter 7

A Study of E-wallet Adoption Among University Students

Yung Ern Siow [0009-0008-1011-4366] and Subhacini Subramaniam [0000-0001-8616-9584]


Abstract – In recent years, the development of the financial technology sector in Malaysia has shown a noticeable increase in the usage of cashless transactions, especially through the adoption of e-wallets. Coupled with the Covid-19 pandemic, the use of e-wallets has increased tremendously as the public fears that the virus can also be transmitted indirectly through physical money. However, the adoption of e-wallets slightly dropped in 2022 as businesses and international borders reopened. Numerous studies also noted a reduced e-wallet adoption rate. Employing the UTAUT model and integrating it with the theory of network externalities, this study investigates to what extent performance expectancy, effort expectancy, social influence, and network externalities impact behavioural intention to use e-wallets. Data obtained from 175 university students in Melaka indicated that the adoption intention of e-wallets is significantly related to performance expectancy, effort expectancy, social influence, and network externalities. These findings inform and provide recommendations for e-wallet providers and relevant financial establishments to promote e-wallet acceptance.

Chapter 8

Factors Influencing Purchase Intention Towards Facebook Live

Radziah Shaikh Abdullah [0000-0002-4665-1488], Sew Tiep Ho [0000-0002-6722-3802] and Lie Min Ong


Abstract – The primary goal of this study is to identify the variables that affect consumers’ purchase intention toward Facebook Live. Facebook is a huge player in the live-streaming market, and many creators and brands are choosing the platform as the place to share their live content. Many people prefer buying on this platform to the traditional one, buying from a physical store, especially in the Covid-19 era. This research examines five factors influencing purchase intention: customer engagement, customer trust, utilitarian value, hedonic value, and perceived usefulness. Data from a questionnaire distributed to 200 adult Facebook users were analyzed and interpreted to test the hypothesis using Statistical Package for Social Science software. Per the multiple regression analysis, customer engagement and trust considerably impact purchase intention for Facebook Live; however, hedonic value, utilitarian value, and perceived usefulness insignificantly correlate with Facebook Live’s purchase intention. Theoretical and practical implications are discussed in this chapter.

Chapter 9

Working Adults’ Intentions Towards Online Food Delivery Services in Malaysia

Jian Ai Yeow [0000-0003-2231-9576], Ek Sia Teo, Poh Kiat Ng [0000-0001-7995-8251], Yu Jin Ng [0000-0002-2993-4443], Hen Toong Tai [0000-0003-0766-5534] and Chew Sze Cheah [0000-0003-3168-7979]


Abstract – The drastic growth of e-commerce significantly caused a substantial change in how businesses operate, leading to a revolution in the information technology and communication industry. One area that has gained considerable attention is the increasing trend of Online Food Delivery (OFD). This work examines the variables affecting working adults’ intentions to use OFD services in Malaysia, focusing on service quality, cost, time-saving, benefit motivation, and perceived ease of use (PEOU). Using SPSS software version 25, the relationship between these variables and the behavioral intentions to use OFD services was analysed with 200 survey respondents. The results indicated that the working adults’ intentions to use OFD services in Malaysia are mainly influenced by perceived ease of use (PEOU) and time-saving. This chapter provides practical recommendations for food businesses and restaurant owners to enhance Online Food Delivery (OFD) acceptance.

Chapter 10

Comparison of Rule-Based Chatbot Versus AI Chatbot: The Case of Restaurant Recommendations

Khairol Nizat Lajis [0009-0001-8782-3434] and Hazlaili Hashim [0000-0003-0024-7188]


Abstract – This paper presents a comparative study between rule-based and AI chatbots in the context of restaurant recommendations. We compared these chatbot types’ accuracy, efficiency, and user satisfaction levels. The rule-based chatbot (DINIsys) and AI chatbot (MelakaEats) were evaluated based on user feedback and survey responses. The results showed that the AI chatbot outperformed the rule-based chatbot in accurately understanding user queries, delivering personalized responses, and providing valuable recommendations. Users expressed varying levels of agreement regarding the rule-based chatbot’s understanding of queries and response accuracy, while the AI chatbot received higher ratings in these areas. Both chatbots faced challenges in emulating human-like personality traits. However, the AI chatbot exhibited superior performance in delivering personalized responses and tailored recommendations, enhancing user satisfaction. The findings support the adoption of AI-powered chatbots for improved accuracy and efficiency in restaurant recommendation systems. Further research is recommended to explore user satisfaction levels and refine chatbot systems to meet evolving user expectations.