Wireless technology and clinical influences in healthcare setting: an Indian case study

This chapter argues that current techniques used in the domain of Information Systems is not adequate for establishing determinants of wireless technology in a clinical setting. Using data collected from India, this chapter conducted a first order regrssion modeling (factor analysis) and then a second order regression modeling (SEM) to establish the determinants of clinical influences as a result of using wireless technology in healthcare settings. As information systems professionals, the authors conducted a qualitative data collection to understand the domain prior to employing a quantitative technique, thus providing rigour as well as personal relevance. The outcomes of this study has clearly established that there are a number of influences such as the organisational factors in determining the technology acceptance and provides evidence that trivial factors such as perceived ease of use and perceived usefulness are no longer acceptable as the factors of technology acceptance

Factors Influencing Undergraduate Students’ Satisfaction And Performance Towards Online Learning in Chengdu, China

Purpose: The primary objective of this paper is to delve into the determinants that influence the satisfaction and efficacy of online learning among students enrolled in four universities directly affiliated with the Ministry of Education in Chengdu. Within this framework, seven latent variables were carefully chosen for analysis: perceived usefulness, perceived ease of use, perceived quality, trust, satisfaction, behavioral intention, and performance. Research design, data, and methodology: The researchers employed a quantitative survey methodology for the study's implementation. An on-site questionnaire survey was conducted among 500 undergraduates with online learning experience in four universities in Chengdu. The sampling procedure involves judgmental, stratified random, and convenience sampling. This study employed confirmatory factor analysis (CFA) and structural equation modeling (SEM) as statistical techniques. Results: Perceived usefulness, perceived ease of use, perceived quality, and trust significantly influence satisfaction. Satisfaction has a significant influence on behavioral intention and performance. In contrast, perceived ease of use does not significantly influence perceived usefulness. Conclusions: This study advances our understanding of the determinants of satisfaction and efficacy in online learning environments. The results provide valuable insights for educational institutions and policymakers aiming to enhance students' online learning experiences

Techno-Eustress: The Impact of Perceived Usefulness and Perceived Ease of Use on the Perception of Work-Related Stressors

An extensive body of literature elaborates on the negative side of technostress. However, appraising stressors as challenges rather than as threats evidently leads to positive perceptions of stress, namely eustress. We derive from the person-environment fit model that the higher the acceptance of information and communication technologies is, the higher is the perception of eustress. As perceived usefulness and perceived ease of use are proven antecedents of technology acceptance, we study how these two technology beliefs affect the perception of challenge stressors and how the challenge stressors influence the psychological response in terms of perceived eustress. We collected data from 168 employees in a web-based survey and used structural equation modeling. The results support our propositions and confirm that perceived usefulness and perceived ease of use are significant determinants of work-related challenge stressors enhancing the perception of eustress

CONSUMERS’ PARSIMONY OF MOBILE INTERNET BANKING USAGE IN MALAYSIA

Purpose of the Study: The objective of this study is to empirically investigate the determinants of the adoption of mobile Internet Banking in Malaysia. However, the slow growth of mobile Internet banking usage as comparison to online Internet Banking increases the concern on the adoption and parsimony issues of mobile Internet banking (MI-Banking) usage in managing personal finances and banking activities. Methodology: Self-administered survey was applied and analyzed by using V-Base structural equation modeling. The responses of 358 respondents were analyzed by using Structural Equation Modeling (SEM) based on Partial Least Squares (PLS) technique. Results: The findings of this study revealed that perceived ease of use, perceived usefulness, and perceived risk significantly influenced the adoption of mobile internet banking, while perceived ease of use was found to have the greatest influence on the overall adoption of mobile internet banking. At the same token, perceived ease of use was found to have a significant influence on perceived usefulness. Implications: The application of mobile internet services has increased and mobile phones are becoming significant tools for managing and controlling personal finances and spending. Thus, a study was conducted to seek clarification on the predictors of mobile Internet banking adoption among Malaysians that will embark further and deeper studies in the context of mobile Internet Banking

Continuity of use of food delivery apps: An integrated approach to the health belief model and the technology readiness and acceptance model

The pandemic forced both organizations and consumers to make many adjustments to their daily lives. However, due the technological advances that have been seen in recent years, some tools have become much more widely used. Among them are the food delivery applications (FDAs) that experienced an exponential growth during the pandemic. This study proposes an integrated model based on the health belief model and the technology readiness and acceptance model to better understand the determinants of users’ continuance intention to use FDAs. Empirical data collected from 288 Portuguese users of FDAs during the pandemic was analyzed using partial least squares structural equation modeling. The results show that both the perceived susceptibility to and severity of COVID-19 infection positively influenced the perceived usefulness of food delivery applications. Technology readiness is also a predictor of perceived usefulness. Both self-efficacy and technology readiness predict users’ perceived ease of use. Users’ continuance intention to use food delivery applications is directly influenced by perceived usefulness and ease of use and indirectly by self-efficacy, technology readiness, perceived severity, and perceived susceptibility.info:eu-repo/semantics/publishedVersio

Determinants of Taxpayers’ Use Behavior of Cambodia Road Tax Mobile Payment in Siem Reap

Purpose: Cambodia Road Tax Mobile Payment Application (CRTMPA) can increase versatility, faster transaction, greater convenience, time-saving, and lower costs. Therefore, this study examines determinants of taxpayers’ use behavior of CRTMPA in Siem Reap. The conceptual framework is constructed with perceived usefulness, ease of use, trust, social influence, facilitating condition, behavioral intention, and use behavior. Research design, data, and methodology: This quantitative study employs 500 taxpayers in Siem Reap who have experienced using road tax mobile payment applications were investigated. The sample techniques are judgmental and convenience sampling. The Item Objective Congruence (IOC) Index and the pilot test (n=50) conducted the content validity and internal consistency. Confirmatory Factor Analysis (CFA) and Structural Equation Modeling (SEM) were applied to analyze the data and test hypotheses. Results: The Findings show that perceived usefulness, social influence, and facilitating conditions significantly impact behavioral intention. Perceived ease of use also significantly impacts perceived usefulness. In addition, trust and behavioral intention significantly impact the use behavior of CRTMPA among Cambodian taxpayers. On the contrary, perceived ease of use does not significantly impact behavioral intention. Conclusions: General Department of Taxation, tax branch directors, ICT policymakers, and related businesses should consider the significant factors to ensure the successful adoption of CRTMPA

The Determinants of Behavior Intentions to Use Chinese Animation and Comics Platforms of Senior Students in Chengdu, China

Purpose: This study aims to investigate the determinants of behavioral intentions to use Chinese animation and comics platforms of senior students in Chengdu, China. The conceptual framework includes perceived ease of use, perceived usefulness, attitude, trust, satisfaction, performance, and behavioral intention. Research design, data, and methodology: This research applied a quantitative method to the distributed questionnaire to 500 senior students in three selected universities. Purposive, stratified random, and convenience sampling was conducted to collect the data. The index of item-objective congruence (IOC) and a pilot test (n=30) by Cronbach alpha coefficient reliability test were applied. In addition, the data were analyzed by confirmatory factor analysis (CFA) and structural equation modeling (SEM). Results: All nine hypotheses are supported by research hypotheses and testing results. Perceived ease of use significantly impacts perceived usefulness and attitude. Perceived usefulness significantly impacts attitude and behavioral intention. Behavioral intention is impacted by attitude and satisfaction. Additionally, satisfaction is significantly related to trust and performance. Finally, trust also has a significant impact on perceived ease of use. Conclusions: The findings contribute to a new knowledge of what the young generation considers using animation and comics platforms. Thus, platform developers can exploit the results for the better development to enhance users’ experience

Social Media Usage Behavior: An Application of a Modified Technology Acceptance Model

Spending on social media marketing has become increasingly important in today’s competitive and dynamic business environment. The use of social media (SM) has enhanced brand visibility and facilitated social engagement opportunities for various industries, such as agriculture and education. In the Philippines, however, research on SM usage has been generally descriptive, wherein inter-relationship between determinants of SM use are under-examined. This study recognizes this important gap and applies a modified technology acceptance model (TAM) to investigate the effects of perceived ease of use, perceived usefulness, subjective norm, and perceived playfulness on users’ intention to use SM. Since these motivation variables are perceived to be endogenous in the literature and are significantly correlated based on initial statistical tests, we used principal component analysis (PCA) and structural equation modeling (SEM) to control for endogeneity. Findings from a survey of 500 millennials reveal that all hypothesized determinants have significant influence on intention to use, with perceived ease of use as the strongest factor. These results provide significant insights to social media marketers and developers on how to maximize the potentials of SM as an effective marketing tool. A natural progression of this work is to analyze the usage of SM in agri-based industries. Possible areas of application include the use of SM platforms to establish a community of agri-entrepreneurs and other stakeholders from the agriculture industry, wherein they can share best practices, collaborate with (potential) farmer-entrepreneurs, and interact with diverse consumers

Determinants of Postgraduate Students of Fine Arts’ Satisfaction and Performance of e-Learning in Chengdu Region of China

Purpose: The purpose of this study is to investigate the determinants of e-learning satisfaction and performance of fine arts’ postgraduate students in five universities in Chengdu, China. The conceptual framework proposed causal relationships between self-efficacy, perceived usefulness, perceived ease of use, compatibility, task-technology fit, satisfaction, and performance. Research design, data, and methods: The researchers used quantitative methods to distributing questionnaires to 500 respondents via offline and online channels. Judgmental, quota and convenience samplings were employed to collect the data. Before the large-scale data collection, Item Objective Congruence (IOC) Index was applied confirm content validity, and Cronbach’s Alpha reliability test was used to approve all constructs in a pilot test of 30 participants. The data were analyzed by confirmatory factor analysis and structural equation modeling to verify the goodness of fit of the model and to confirm the causal relationships between variables for hypotheses testing. Results: Perceived ease of use significant affected satisfaction and perceived usefulness. The relationship between self-efficacy, perceived ease of use and perceived usefulness was supported. Compatibility and task-technology fit significantly affected student satisfaction. Furthermore, satisfaction is a predictor of performance. Conclusion: This study recommends that office of academic affairs in higher education should improve e-learning system in order to enhance student satisfaction and performance

The Acceptance of Mobile Learning: A Case Study of 3D Simulation Android App for Learning Physics

This study explores the determinants that influence the acceptance of mobile learning, with a case study of a 3D simulation Android app, as an innovative tool for learning physics for high school students. The research model is developed based on prior studies in mobile learning acceptance, where Perceived Usefulness and Perceived Ease of Use are the two most popular determinants, with the addition of Perceived Enjoyment. Data are collected through questionnaires distributed to 50 high school students using Google Form. This study uses the structural equation modeling (SEM) technique to conduct the final analysis. The findings confirm that Perceived Enjoyment becomes the most influencing factor considered by high school students to use mobile learning, 3D simulation Android app, followed by Perceived Usefulness. However, the Perceived Ease of Use is an insignificant predictor that influences the acceptance of the 3D simulation Android app