Using Privacy Calculus Theory To Assess Users´ Acceptance Of Video Conferencing Apps During The Covid-19 Pandemic

Dissertation presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Information Systems and Technologies ManagementVideoconferencing (VC) applications (apps) are getting notable attention worldwide, from common citizens to professionals as an alternative to vis-à-vis communication specifically during COVID-19. The growth of VC apps is expected to rise even more in the future with the prediction that widespread adoption of remote work will continue to hold even after the pandemic. This research investigates the key drivers for individuals’ intentions into continuing to use this technology in professional settings. Considering the importance of professionals’ perceptions of privacy in professionals’ settings, this study proposes a conceptual model rooted in the theoretical foundations of privacy calculus theory, extended with the conceptualization of privacy concerns for mobile users (MUIPC), ubiquity, and theoretical underpinnings from social presence theory. The conceptual research model was empirically tested by using data collected from a survey of 487 actual users of videoconferencing apps across Europe. Structural equation modeling (SEM) is performed to test the model. The study revealed several findings (1) perceived value in using VC apps motivates the professionals to continue using VC apps and shapes their perception as they evaluate the risk-benefit trade-off they are making when using VC apps. (2) professionals’ indeed form and articulate their own assessment of value based on the perceived risks and benefits associated with using VC apps. However, professionals' perceptions of value are strongly influenced by potential benefits received from using VC apps than by potential risks associated with using VC apps. (3) professionals’ perceived risk is determined by MUIPC and trust. (4) professionals’ perceived benefits are shaped by ubiquity and social presence. For researchers, this study highlights the usefulness of integrating privacy calculus theory, social presence theory and trust in studying the individuals’ behavioral intentions towards new technologies. For practitioners, understanding the key determinants is pivotal to design and build mobile video-conferencing apps that achieve higher consumer acceptance and higher rates of continued usage of VC apps in professional settings

CRACKING THE CODE: WHAT MAKES MALAYSIAN MILLENNIALS EMBRACE MOBILE TECHNOLOGY?

The rapid growth of mobile shopping and the increasing use of smartphones and tablets for e-commerce transactions make understanding consumer acceptance crucial for businesses and app developers. This study investigates the factors influencing mobile technology acceptance among millennials in Malaysia, focusing on security, perceived ease of use, perceived usefulness, and the cost of operations. This research highlights the importance of addressing these dimensions for businesses and application developers to maintain millennials' interest in mobile technologies and remain competitive. A sample size of 384 millennial participants, selected using purposive sampling, contributed to the analysis of this study, which was collected using self-administered questionnaires. The data were analysed using SPSS version 28. The findings reveal that security and perceived usefulness significantly influence millennials' engagement with mobile technology. However, two dimensions, the perceived ease of use and the perceived cost of operations do not significantly impact mobile technology adoption. Therefore, this study offers valuable insights for organisations to develop effective mobile technology strategies and enhance millennial consumers' engagement with mobile technologies.  Article visualizations

Trust and Risk in Consumer Acceptance of e-Services: A Meta-Analysis and a Test of Competing Models

Consumer perceptions of risk and their trust beliefs are considered amongst the most important psychological states influencing online behavior. Despite the number of empirical studies that have explored the effects of trust and risk perceptions on consumer acceptance of e-services, the field remains fragmented and the posited research models are contradictory. To address this problem, we examined how trust and risk influence consumer acceptance of e-service through a meta-analysis of 52 studies followed by tests of competing causal models. The findings confirm that trust and risk are important to e-service acceptance but trust has a stronger effect size. We found that certain effect sizes were moderated by such factors as the consumer population under study, the type of e-service, and the object of trust under consideration. The data best supports the causal logic that positions trust as antecedent to risk perceptions. Risk partially mediates the effects of trust on acceptance

Beyond Security and Privacy Perception: An Approach to Biometric Authentication Perception Change

The aim of the paper is to shed light on the factors affecting perception shifts in biometrics authentication. This study explores trust relationships in the adoption of biometrics using the valence framework to understand and explain the individual’s evaluation of risk concerning biometrics. Hypotheses are developed to suggest that individuals’ intention to use biometrics is influenced by trust in the vendor. An experiment to test the hypotheses is described. Expected contributions, limitations, and possibilities for future research are noted

Exploring Post-Adoption Behavior of the UPI users with Cognitive and Affective Factors

The National Payments Corporation of India (NPCI) has invested a sizable amount of money in the country's massive payment infrastructure in an effort to enhance the user experience. However, in order for investments to be profitable, NPCI must guarantee the ongoing use of technological solutions and post-adoptive behaviors like continuance and recommendation intention. The impact of cognitive factors (i.e. Performance expectancy, effort expectancy, social influences, facilitating conditions; personal innovativeness) and affective factors (such as satisfaction) on conative factors (such as continuation and recommendation intention) in the perspective of UPI applications (apps) was investigated using the UTAUT model. Partial Least Square Structural Equation Modeling when applied on 651 users (PLS-SEM) showed that satisfaction had a direct impact on continuation intentions, which in turn had an impact on recommendations intentions. It was discovered that all cognitive factors, including performance expectations, effort expectations, and facilitating conditions, have an impact on satisfaction. According to the study, adding a significant individual difference variable—personal innovativeness with regard to information technology—would aid in our understanding of the role that these factors play in the development of continuous intention. It further examines the influence of trust and security, and the pace of innovation on continued intentions. Through the mediating function  of user satisfaction, it also looked at the impact of performance expectancy, effort expectancy, social influence, facilitating variable, and personal innovativeness on the continuance intentions of the UPI system. All factors have been shown to be significant. Future researchers will find it extremely helpful that the study used a validated instrument to better understand user adherence and referral intentions. Therefore, this study adds to the limited body of knowledge in the payment industry literature by examining how users perceive UPI apps and post-adoption behaviors

An electronic service quality transactional model of attraction, trust and loyalty for interactive healthcare portal

Interactive Health Portals (IHPs) are portals of healthcare providers which offer e-services for patients to assist them in obtaining required health information, communicate easily and access all services offered. The quality of e-services provided by the IHP is a critical concern since it serves as a gateway to patients to interact with a respective healthcare provider. IHPs are well developed in US and Europe, but developing countries such as Malaysia are still lagging behind this trend. IHPs are very important for private hospitals whose aim include servicing patients from other countries. Previous studies have investigated how to attract patients, to increase their trust and to make them loyal to IHPs within developing countries, however they were studied in a segregate manner. The relationship among them have yet been explored in the context of healthcare and as a transaction model for patients’ loyalty on IHP is not studied yet. The aim of this study is to identify the e-service quality (e-SQ) factors that may influence attraction, trust and loyalty on IHP and thus propose an e-SQ transactional model of attraction, trust and loyalty for IHP. A survey method was employed to examine the influence of the identified e-SQ factors on three components of attraction, trust and loyalty in the proposed model. Questionnaires were distributed targeting patients at three private hospitals who had experience in using e-services in which two hundred and three patients responded to the survey. Collected data were analysed using the Partial Least Squares Structural Equation Modelling (PLS-SEM) technique. The results showed that e-SQ factors of usability, information quality, virtual training, IHP services, and cost savings positively influenced patients’ attraction. Trust of patients was positively influenced by security, privacy, reliability, and policy of IHPs. Finally, the e-SQ factors of compensation, responsiveness and hospitality affected patient loyalty in a positive manner. The Importance-Performance Matrix Analysis indicated that the top priority to be addressed to attract patients are IHP services and cost saving. Next, attraction, reliability and privacy are the most important factors to gain patients’ trust, while hospitality and trust are most significant to make patients loyal. The e-SQ transactional model as an outcome of this study is hoped to assist Malaysian IHP providers to better understand patients’ demands and allow them to design more patient-centric portals. This study is especially beneficial to private hospitals which receive no governmental financial aids and are in close competition with other private hospitals

Painting A Holistic Picture of Trust in and Adoption of Conversational Agents: A Meta-Analytic Structural Equation Modeling Approach

With their human-like nature, conversational agents (CAs) introduce a social component to human-computer interaction. Numerous studies have previously attempted to integrate this social component by incorporating trust into models such as the technology acceptance model (TAM) to decipher the adoption mechanisms related to CAs. Given the heterogeneity of these previous works, the aim of this paper is to integrate empirical evidence on the role and influence of trust within the nomological network of the TAM. For this purpose, we conduct a meta-analytic structural equation modeling approach based on 45 studies comprising k = 155 correlations, and N = 13,786 observations. Our findings highlight the multifaceted role of trust as a mediator transmitting the effects of the technology-related perceptions that drive the intention to use CAs. Our results present a comprehensive overview in a thriving research field that can guide both future theory building and the designs of more trustworthy CAs

The Impact of Digital Service Quality Toward Customer Engagement: A Case Study of Telemedicine in Thailand

Purpose: The aims of this study are to examine the effect of digital service quality on customer engagement with telemedicine systems and to investigate how such effects change depending on a variety of socioeconomic characteristics.   Design/methodology/approach:  The survey research with online questionnaire was conducted with 405 telemedicine experienced samples. The proposed hypotheses were tested using the Structural Equation Modeling (SEM) method.   Findings:  The results revealed that digital service quality significantly influences customer engagement. A second-order confirmatory factor analysis of the digital service quality (DSQ) construct revealed that the efficiency dimension best explained DSQ, followed by the responsiveness and interaction dimensions. The study of moderation revealed that the effect of DSQ on CE was greater in younger age groups than in older age groups. In addition, those with a higher level of formal education appear to have higher levels of CE than those with a lesser level of formal education.   Research, Practical & Social implications: The study will help practitioners create telemedicine services that are more efficient and effective so that patients are more engaged and loyal to the telemedicine service providers.   Originality/value: The value of the study is that it is one of the rare attempts to clarify the consequences of digital service quality from the perspective of the consumer, and it proposes several implications and recommendations

An assessment of technology-based service encounters & network security on the e-health care systems of medical centers in Taiwan

<p>Abstract</p> <p>Background</p> <p>Enhancing service efficiency and quality has always been one of the most important factors to heighten competitiveness in the health care service industry. Thus, how to utilize information technology to reduce work load for staff and expeditiously improve work efficiency and healthcare service quality is presently the top priority for every healthcare institution. In this fast changing modern society, e-health care systems are currently the best possible way to achieve enhanced service efficiency and quality under the restraint of healthcare cost control. The electronic medical record system and the online appointment system are the core features in employing e-health care systems in the technology-based service encounters.</p> <p>Methods</p> <p>This study implemented the Service Encounters Evaluation Model, the European Customer Satisfaction Index, the Attribute Model and the Overall Affect Model for model inference. A total of 700 copies of questionnaires from two authoritative southern Taiwan medical centers providing the electronic medical record system and the online appointment system service were distributed, among which 590 valid copies were retrieved with a response rate of 84.3%. We then used SPSS 11.0 and the Linear Structural Relationship Model (LISREL 8.54) to analyze and evaluate the data.</p> <p>Results</p> <p>The findings are as follows: (1) Technology-based service encounters have a positive impact on service quality, but not patient satisfaction; (2) After experiencing technology-based service encounters, the cognition of the service quality has a positive effect on patient satisfaction; and (3) Network security contributes a positive moderating effect on service quality and patient satisfaction.</p> <p>Conclusion</p> <p>It revealed that the impact of electronic workflow (online appointment system service) on service quality was greater than electronic facilities (electronic medical record systems) in technology-based service encounters. Convenience and credibility are the most important factors of service quality in technology-based service encounters that patients demand. Due to the openness of networks, patients worry that transaction information could be intercepted; also, the credibility of the hospital involved is even a bigger concern, as patients have a strong sense of distrust. Therefore, in the operation of technology-based service encounters, along with providing network security, it is essential to build an atmosphere of psychological trust.</p

Development and Exploration of End-User Healthcare Technology Acceptance Models

This dissertation consists of three studies that collectively investigate the factors influencing the consumer adoption intention towards emerging healthcare technologies. Essay 1 systematically reviews the extent literature on healthcare technology adoption and serves as the theoretical foundation of the dissertation. It investigates different models that have been previously applied to study healthcare technology acceptance. Meta-analysis method is used to quantitatively synthesize the findings from prior empirical studies. Essay 2 posits, develops, and tests a comprehensive biotechnology acceptance model from the end-user's perspective. Two new constructs, namely, perceived risk and trust in technology, are integrated into the unified theory of acceptance and use of technology. Research hypotheses are tested using survey data and partial least square – structural equation modeling (PLS-SEM). Essay 3 extends the findings from the Essay 2 and further investigates the consumer's trust initiation and its effect on behavioral adoption intention. To achieve this purpose, Essay 3 posits and develops a trust model. Survey data allows testing the model using PLS-SEM. The models developed in this dissertation reflect significant modifications specific to the healthcare context. The findings provide value for academia, practitioners, and policymakers