Journal ArticleDOI
Do information and service quality affect perceived privacy protection, satisfaction, and loyalty? Evidence from a Chinese O2O-based mobile shopping application
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TLDR
It is confirmed that qualified information and services of O2O MSAs positively affect both perceived privacy protection and customer satisfaction, which finally lead to customer loyalty through the lens of the information systems success model.About:
This article is published in Telematics and Informatics.The article was published on 2021-01-01. It has received 63 citations till now. The article focuses on the topics: Loyalty business model & Service quality.read more
Citations
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Mediating effects on the relationship between perceived service quality and public library app loyalty during the COVID-19 era
TL;DR: Wang et al. as mentioned in this paper designed a third-order model to evaluate the service quality of a public library app under the Hong Kong Government mobile applications initiative and found that the influence of perceived service quality on user loyalty could only be achieved through perceived brand image and user satisfaction.
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Resistance to facial recognition payment in China: The influence of privacy-related factors
Yu-li Liu,Wenjia Yan,Bo Hu +2 more
TL;DR: A research model of FRP is built and examined by using a cross-sectional study with 1200 Chinese users to demonstrate that the perceived effectiveness of privacy policy has significant relationships with privacy control, perceived privacy risk, perceived benefits, and resistance.
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Comparative Analysis of Key Factors Encouraging Food Delivery App Adoption Before and During the COVID-19 Pandemic in Thailand
Jankit Chotigo,Yasuo Kadono +1 more
TL;DR: In this paper, the authors examined and compared the crucial factors encouraging Thai customers to use food delivery apps before and during the COVID-19 pandemic on the basis of the modified conceptual paradigm of Unified Theory of Acceptance and Use of Technology 2 (UTAUT2), including trust, convenience, application quality, and satisfaction.
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“I am chatbot, your virtual mental health adviser.” What drives citizens’ satisfaction and continuance intention toward mental health chatbots during the COVID-19 pandemic? An empirical study in China
Yonghan Zhu,Rui Wang,Chengyan Pu +2 more
TL;DR: Zhang et al. as mentioned in this paper proposed an analytical framework to investigate the determinants behind users' satisfaction and continuance intention toward mental health chatbots, and found that personalization (functional value), enjoyment (emotional value), learning (epistemic value), and the condition of the COVID-19 pandemic (conditional value) have positive influences on user satisfaction, but such effects were weak.
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Modeling consumers’ trust in mobile food delivery apps: perspectives of technology acceptance model, mobile service quality and personalization-privacy theory
TL;DR: Wang et al. as mentioned in this paper examined the role of technology acceptance model (TAM) factors, mobile service quality (M-SERQUAL) factors and personalization and privacy in promoting customers' trust and in turn their loyalty towards mobile food delivery apps (MFDAs).
References
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Perceived Usefulness, Perceived Ease of Use, and User
TL;DR: Regression analyses suggest that perceived ease of use may actually be a causal antecdent to perceived usefulness, as opposed to a parallel, direct determinant of system usage.
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Perceived usefulness, perceived ease of use, and user acceptance of information technology
TL;DR: In this article, the authors developed and validated new scales for two specific variables, perceived usefulness and perceived ease of use, which are hypothesized to be fundamental determinants of user acceptance.
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Multivariate Data Analysis
TL;DR: In this paper, a six-step framework for organizing and discussing multivariate data analysis techniques with flowcharts for each is presented, focusing on the use of each technique, rather than its mathematical derivation.
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Multivariate data analysis
TL;DR: This chapter discusses Structural Equation Modeling: An Introduction, and SEM: Confirmatory Factor Analysis, and Testing A Structural Model, which shows how the model can be modified for different data types.
Journal Article
SERVQUAL: A multiple-item scale for measuring consumer perceptions of service quality.
TL;DR: In this paper, the authors describe the development of a 22-item instrument (called SERVQUAL) for assessing customer perceptions of service quality in service and retailing organizations, and the procedures used in constructing and refining a multiple-item scale to measure the construct are described.
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