Factors That Influence the Adoption of E-Wallets by the Malaysians

E-wallet has become a new payment method in the global trend, replacing cash payment gradually. Malaysia's national bank has set out objectives to move to a cashless society with electronic payment system in its Financial Sector Blueprint 2011-2020. Hence, this research aims to investigate the drivers that affect the behavioural intention of consumers towards the adoption of e-wallets in Malaysia. Performance expectancy, effort expectancy, and social influence are the three factors adopted from the unified theory of acceptance and use of technology model (UTAUT) to demonstrate the intention of consumers on e-wallet adoption. Additionally, perceived security and incentives are integrated into the research model to examine the factors that affect the e-wallet adoption. Four hundred fifty questionnaires were collected and analysed. The results show that all the factors have positive relationship with intention of e-wallet adoption. The research findings contribute to various parties such as the academicians, researchers, service providers, financial institutions, and the government.

The Effects of ICT Adoption on Public Sector Performance

Governments around the world are increasingly adopting innovative ways that facilitate the easy provision of public sector services through efficient and effective ways. However, the linkages between ICT adoption, human resource (HR) quality, and public sector performance remains under-examined. This study examines the effects of ICT adoption and HR quality on public sector performance on one hand and the mediating effects of HR quality on the linkage between ICT adoption and public sector performance on the other using archival sources of data for 140 countries and a conceptual model based on the technology-organization-environment (TOE) framework. The data analysis using partial least squares-structural equation modeling shows that ICT adoption influences HR quality but not public sector performance directly. However, HR quality was found to positively influence public sector performance. Furthermore, HR quality was found to significantly moderate the relationship between ICT adoption and the public sector performance.

Ride on Conveniently!

This study investigates the passengers' adoption of a ride-sharing service app (UBER) in Bangladesh. This study employed the most widely used and cited IT adoption model, The Unified Theory of Acceptance and Use of Technology-2 (UTAUT2), as the theoretical framework to examine the passengers' adoption of the popular sharing economy tools ride-sharing service applications (i.e., Uber). This study adds a new construct, safety, in the UTAUT2 model. Data were obtained from 206 participants which were analyzed using partial least square structural equation modeling (PLS-SEM). The results indicated that performance expectancy, effort expectancy, social influence, hedonic motivation, and facilitating conditions are the most significant determinant factors of behavioral intention to use the Uber app. In contrast, behavioral intention to use the Uber app is not significantly influenced by price value and safety. Additionally, the theoretical and practical implications of these results are discussed, which elicits the importance for business managers, marketers, and policymakers on sharing economy platforms.

Online Retailer Reputation, Satisfaction, and Trust as Catalysts in the Consumer Perceptions of Ethics on Online Retailers and Repurchase Intention

This research investigates the effect of consumer perceptions regarding the ethics of online retailers (CPEOR) on repurchase intention through reputation, satisfaction, and trust. The authors performed structural equation model analysis with SmartPLS on a sample of 458 responses collected from Vietnamese consumers. They found that CPEOR has a significant positive effect on reputation, satisfaction, and trust. As expected, trust and satisfaction directly predict repurchase intention; however, reputation does not directly follow this pattern. Instead, two prosocial constructs, namely trust and satisfaction, channel the effect of reputation on repurchase intention. Contrary to the conventional understanding that a favourable reputation will predict higher consumer trust, they found a negative correlation between these two factors. The managerial and theoretical contributions of the research and direction for future research are highlighted.

Predicating Smartphone Users' Behaviour Towards a Location-Aware IoMT-Based Information System

Heart disease is the number one killing disease in the world. It is imperative to use IoMT-based information system called iHeart that tracks patient's blood pressure, heart rate, and current location. To design such a system, users' needs must be recognized. Therefore, this research proceeds with conducting a survey among 223 smartphone users in Penang, Malaysia and Isfahan, Iran to predict behavioural intention to use of iHeart before its full implementation. The theoretical frameworks of iHeart intention to use is set up based upon behavioural change theories. The results were analysed by using SmartPLS which indicate the different acceptance rates among two nationalities. It is concluded that cultural differences and technology advancements impact on the adoption of iHeart from smartphone users' points of view. The results of this study can be useful for healthcare professionals to evade culturally related problems for future projects.

Intention-Behavior Gap in the Use of Personal Health Records (PHRs)

This paper examined an intention-behavior gap in individuals' personal health records (PHRs) adoption behaviors using Ajzen's theory of planned behavior (TPB) that incorporates social factors. Using structural equation modeling, the authors analyze the health information national trends survey data. The research found that all of the constructs, except for perceived behavioral control (PBC), shape intentions to use PHRs. However, PBC only predicts actual use. Individuals who have higher intentions tend to believe that healthcare providers should be able to share their patients' PHRs with other professionals and that scientists should be able to review de-identified patient PHRs. Individuals who perceive that a need exists for privacy control over their own health information tend to have higher intentions. The moderating social factors between intentions and actual behaviors are healthcare accessibility and being female, while education (positively) and employment (negatively) have significant relationships with actual use of, but not with intentions to use, PHRs. Future research needs to explicate why the moderating effect revolves around gender.

Unemployment, Personality Traits, and the Use of Facebook

Different personality traits respond differently to unfavourable life situations. Unemployment can have several negative social, economic, and domestic consequences. Many people use social media for a variety of reasons. The aim of this study is to examine the way different personality traits respond to Facebook in the period of unemployment. Data was obtained from 3,002 unemployed respondents in Nigeria. The study used regression model to analyse the data. Among the five personality traits, results indicated that the relationship between neuroticism and online social support was negative. However, the relationship between online social support and satisfaction was positive. The study highlights several theoretical and practical implications.

Contributions to the Technological Adoption Model for the Peruvian Agro-Export Sector

This paper proposes a technology adoption model called TAM 4, based on the TAM model considering the trust and perceived risk factors to the adoption of technology in response to governments' concern to achieve competitiveness in the most important economic activities. The methodology used considers the predictive method. The sample was selected from 67 companies related to foreign trade that carry out agro export tasks, with a confidence level of 90% and an error percentage of ± 10% and the 0.787 of Cronbach's Alpha obtained for the instrument's validation. In conclusion, 97% of the companies informally adopt technology. This shows that 68% of the companies surveyed in the sector would be willing to adopt the model.

Rural Technology Adoption and Use Model in Rural Africa

Mobile telephony networks have seen a high rate of adoption worldwide in recent years. However, these networks do not exist everywhere, and even where they are, their adoption is lagging. Especially in uncovered rural areas, it is difficult to predict the technology's acceptance and adoption factors. This study deals with the usage gap of mobile telephone networks and attempts in a methodological approach based on structural equation modeling to prevent the telephone usage gap in rural Africa yet to be covered. To that purpose, the authors use a research model based on the technology acceptance model (TAM) and the unified theory of acceptance and use of technology (UTAUT). By combining these two models and incorporating the moderating effects of demographic variables such as age, gender, education, and experience of technology use, this paper has retained a model with the ability to determine how rural residents will accept and use future networks.

Understanding Vietnamese Consumer Intention to Use Online Retailer Websites

This study examines the applicability of an extended technology acceptance model (TAM) that incorporates trust, perceived risk, and self-enhancement as antecedents to the TAM constructs. Data collected from 299 Vietnamese online consumers, through a self-administered survey, were entered into a structural equation model using AMOS 23 to establish causality. The results partially confirm the applicability of TAM to the online shopping intentions of Vietnamese consumer, though contrary to expectations, perceived ease of use does not predict behavioral intentions. Trust and self-enchantment fit well with the TAM; the inclusion of perceived risk as an antecedent is questionable. The findings offer new opportunities for explaining TAM theory in light of Schwartz's value dimensions. This article thus concludes with a discussion of the research contributions and implications.