Articles

Perceived Usefulness and Ease of Use of ICT as Predictors of Faculty Instructional Adaptability

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In higher education, using information and communication technology (ICT) is now essential. Faculty need to adjust their teaching to fit technology-rich classrooms. This study looked at how faculty members’ views on the usefulness and ease of use of ICT affect their ability to adapt in teaching. The research used a quantitative descriptive-correlational design and regression analysis, collecting data from 37 faculty members at a private college in Iligan City through a survey. Data were analyzed using Mann–Whitney, Kruskal–Wallis, Spearman correlation, and multiple regression. Teachers reported very high levels of perceived usefulness, ease of use, and instructional adaptability. There were no major differences in adaptability based on sex, education, or job status. The results showed a weak but significant link between instructional adaptability and perceived usefulness, while perceived ease of use had a strong and significant link. Regression analysis found that effective resource management and teacher readiness and skills are strong predictors of educational outcomes. Overall, practical skills and confidence in using ICT, rather than just seeing its benefits, were most important for improving faculty adaptability and technology use.

Technology Paradox and User Intention: The Claude AI Application

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The purpose of this study is to develop a deeper understanding of the factors influencing user intention to adopt Claude, an AI-based chatbot designed to provide ethical, safe, and high-context interaction.The study involves 200 respondents in Indonesia who have used AI at least once, with data analyzed using AMOS 21. The results show that initial trust has a positive and significant effect on perceived usefulness and perceived ease of use, while social influence also significantly enhances both perceptions. Perceived usefulness and perceived ease of use significantly influence users’ attitudes and directly affect their intention to use Claude. However, initial trust does not have a significant effect on attitude. Furthermore, attitude does not mediate the relationships between perceived usefulness or perceived ease of use and intention to use, indicating that behavioral intention is primarily shaped by direct cognitive evaluations rather than affective responses. Overall, perceived usefulness and perceived ease of use emerge as the main determinants of intention to use, with initial trust and social influence acting as important antecedents in shaping early user perceptions. This study extends TAM in the context of AI chatbot adoption and provides practical insights for improving AI acceptance among young users.

Behavioural Intention to use Mobile Money Services in the Gambia: A case study of wave

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This Study investigates the behavioural intention to use mobile money services in the Gambia: Case study of Wave. A Qualitative explanatory approach was employed, with data collected through distribution to 120 respondents. The SmartPLS 4’s Partial Least Squares–Structural Equation Modeling (PLS-SEM) was used for the analysis.. The study is based on the Technology Acceptance Model (TAM), which was first presented by Davis and colleagues in 1989.It is a theoretical framework that builds upon the Theory of Reasoned Action (TRA). TRA suggests that an individual‟s response or perception of something can influence their behaviour. The findings indicate that perceived usefulness, perceived ease of use, and perceived trust have a significant influence on intention to use mobile money services. These results suggest that to enhance user adoption and satisfaction, Wave Mobile Money should maintain its simple app design and onboarding process, focusing on user-centred design to reduce effort and improve usability.

The Effect of Perceived Ease of Use and Service Quality on Customer Loyalty with Customer Satisfaction as an Intervening Variable: Case Study on Tokopedia

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Transactions on e-commerce have become a common habit in society. Indonesia had approximately 196.47 million e-commerce users, and this number is predicted to continue increasing. The total value of e-commerce transactions has reached Rp 453.75 trillion, and Tokopedia is among the top five e-commerce platforms with the most visitors, totaling 1.2 billion visits. However, Tokopedia has recently experienced a 31% decrease in visits compared to the previous year, and many users have expressed dissatisfaction. Based on these issues, the aim of this research is to determine the influence of service quality and perceived ease of use on customer loyalty, with customer satisfaction serving as a mediating variable with the object of research Tokopedia. This research is quantitative in nature, utilizing descriptive and causal analysis. Sampling was carried out using purposive sampling method, resulting in 400 respondents who fulfilled the requirements applied in this research. The analysis was conducted using Partial Least Squares-Structural Equation Modeling (PLS-SEM) with the SmartPLS 3. The findings of this research indicate a positive and significant effect of perceived ease of use and service quality on customer loyalty, both directly and indirectly through customer satisfaction. The model used in this study explains 55.8% of consumer loyalty behavior towards Tokopedia, which falls into the moderate category. Tokopedia should enhance the quality of services offered to users and ensure they encounter no difficulties while using the Tokopedia application. The objective is to improve customer satisfaction on Tokopedia, ultimately leading to increased customer loyalty.

Factors Influencing Intention to Adopt Generative AI Tools in Indonesian Enterprise Users

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Indonesian enterprises are in the early stage of adopting generative AI tools. A report from Forbes shows that AI companies around the world have raised around $354 billion for Generative AI technology. One of the key drivers of those funding is to capitalize on the growing market demand. Market demand in Indonesia for Generative AI technology is explored by studying the intention to adopt such tools among enterprise users. Quantitative study reveals that perceived ease of use is a factor influencing the user’s intention to adopt Generative AI Tools in Indonesian enterprises. Recommendations for further research includes exploring more predictive factors and reaching broader target audiences for the study.

Strategy for Embracing Digital Technology at XYZ Life Insurance Company

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In the last two decades, insurance markets in industrialised countries have undergone significant transformation due to deregulation, increased competition and globalisation. This evolution has also impacted emerging markets such as Indonesia, where the insurance sector, particularly digital insurance, presents both challenges and opportunities. This study aims to explore the factors that influence customer adoption of digital insurance platforms in Indonesia, focusing on perceived ease of use, usability, customer experience, trust in technology, and innovativeness. The research employed both qualitative and quantitative methodologies, including thematic analysis of interviews and multiple linear regression analysis of survey data. The results showed that while perceived usefulness and innovativeness had a positive effect on adoption intention, perceived ease of use had a negative impact, indicating the need for a balance between simplicity and security. Trust in technology, while not directly impactful, is still important for building user confidence. This study highlights the importance of user education, strong data protection, and innovative features in driving digital insurance adoption. However, limitations such as the focus on certain factors and the cross-sectional nature of this study indicate the need for further research to cover a wider range of variables and longitudinal data.

The Digitalization of Distributor Management System at Pertamina Lubricants: Issues and Solutions on the Implementation Stage

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Pertamina Lubricants has stated digital transformation as one of its breakthrough projects to accelerate digitalization as one of its strategic initiatives. This strategic initiative has objectives to enhance channel management and the capability of distributors as strategic business partners to achieve their sales volume target set by the management of Pertamina Lubricants. This journal aims to evaluate and improve the digital distributor management system to help distributors of Pertamina Lubricants achieve their sales volume target.