A5032786181- Technology Adoption and User Behaviour
- Digital Marketing and Social Media
- Sentiment Analysis and Opinion Mining
- Ethics and Social Impacts of AI
- Big Data and Business Intelligence
- Misinformation and Its Impacts
- Advanced Text Analysis Techniques
- Impact of Technology on Adolescents
- Qualitative Comparative Analysis Research
- Privacy, Security, and Data Protection
- Customer Service Quality and Loyalty
- Mental Health Research Topics
- Data Analysis with R
- Social Media and Politics
- Forecasting Techniques and Applications
- Mobile Crowdsensing and Crowdsourcing
- Evaluation and Performance Assessment
- Sensory Analysis and Statistical Methods
- Digital Platforms and Economics
- scientometrics and bibliometrics research
- Customer churn and segmentation
- Digital Mental Health Interventions
- Transportation Planning and Optimization
- Innovation Diffusion and Forecasting
- Machine Learning in Materials Science
National Tsing Hua University
2015-2024
Online communities are new social structures dependent on modern information technology, and they face equally challenges. Although satisfied members regularly consume content, it is considerably harder to coax them contribute content help recruit others because unprecedented comparison criticism. We propose that engagement—a concept only abstractly alluded in systems research—is the key active participation these unique sociotechnical environments. constructed tested a framework...
Purpose The purpose of this study is to clarify theory and identify factors that could explain the level fintech continuance intentions with an expectation confirmation model integrates self-efficacy theory. Design/methodology/approach With data collected from 753 users, applies partial least square structural equation modeling compare select research most predictive power. Findings results show financial self-efficacy, technological positively affect perceived usefulness. Among these...
ABSTRACT Partial least squares path modeling (PLS‐PM) has become popular in various disciplines to model structural relationships among latent variables measured by manifest variables. To fully benefit from the predictive capabilities of PLS‐PM, researchers must understand efficacy metrics used. In this research, we compare performance standard PLS‐PM criteria and selection derived Information Theory, terms selecting best a cohort competing models. We use Monte Carlo simulation study...
Security researchers agree that security control is a difficult to observe credence quality of online services Internet users cannot easily assess through research or experience. Yet there evidence form perceptions strongly determine how much trust they put in services. This study investigates whether users' arise solely from their predispositions service providers can influence them. The also examines these seemingly undependable lead more traditional factors might offer better explanation...
The highly competitive and rapidly changing market for online services is becoming increasingly effective at locking users in through the coercive effects of switching costs. Although information systems field recognizes that costs plays a big part enforcing loyalty, little known about what factors regard as or why they perceive these Consequently, it hard to know lock-in strategies use when apply them. We address this problem by first developing theory-driven structure users' perceived...
The use of crowdworkers in NLP research is growing rapidly, tandem with the exponential increase production machine learning and AI. Ethical discussion regarding within community typically confined scope to issues related labor conditions such as fair pay. We draw attention lack ethical considerations various tasks performed by workers, including labeling, evaluation, production. find that Final Rule, common framework used researchers, did not anticipate online crowdsourcing platforms for...
The major challenge for social networking services (SNS) has been in getting users to exhibit prosocial behavior by active participation creating and sharing content. We seek integrate reconcile the varying, sometimes conflicting, explanations of behaviors at SNS. Rooted postadoption commitment theory, our study offers three distinct mechanisms that regulate how one's experience an SNS translates into leads behavior. In particular, satisfaction, affective commitment, substantiate a...
SEMinR seeks to bring the latest state-of-the-art advances in SEM methods R ecosystem. This package also make describing and analyzing SEMs easier for practitioners.There have been several recent various branches of that are often not reflected existing packages. For example, PLS-PM approach requires adjustment how models with interaction terms estimated. recently incorporated predictive such as plsPredict. Meanwhile, CB-SEM can avail ten Berge factor-score extraction obtains construct...
Rapid growth in the availability of behavioral big data (BBD) has outpaced speed updates to ethical research codes and regulation privacy human subjects' collection, storage, use. The introduction European Union's (EU's) General Data Protection Regulation (GDPR) May 2018 will have far-reaching effects on scientists researchers who use BBD, not only EU, but around world. Consequently, many companies are struggling comply with Regulation. At same time, academics interested collaborations...