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NET-EXPO: A Gephi Plugin Towards Social Network Analysis of Network Exposure for Unipartite and Bipartite Graphs Read chapter Read first chapter

2019 | OriginalPaper | Chapter

Investigating the Determinants of Users’ Willingness to Pay for Answers on Q&A Platforms

Authors : Jia Gu, Lili Liu

Published in: HCI International 2019 - Posters

Publisher: Springer International Publishing

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Abstract

Charging for answers on Q&A platforms is gaining popularity in Mainland China. For the purpose of making profit, understanding the determinants of users’ willingness to pay for answers is crucial for Q&A platforms, yet remains unclear. To narrow the research gap, this study develops an extended UTAUT framework, which integrates trust and long tail effect. In particular, the impacts of seven antecedents are empirically investigated, including performance expectancy, effort expectancy, social influence, facilitating conditions, trust towards answer providers, trust towards the Q&A platform, and long tail effect. Data was collected from 123 Chinese Q&A platform users (all of them have paid for answers) and analyzed with SPSS 22.0. Findings indicate that users’ willingness to pay is positively influenced by performance expectancy, facilitating conditions, trust towards the Q&A platform, and long tail effect. The potential theoretical and practical contributions are discussed.

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Metadata
Title
Investigating the Determinants of Users’ Willingness to Pay for Answers on Q&A Platforms
Authors
Jia Gu
Lili Liu
Copyright Year
2019
Book
HCI International 2019 - Posters

Print ISBN: 978-3-030-23524-6

Electronic ISBN: 978-3-030-23525-3

Copyright Year: 2019

DOI
https://doi.org/10.1007/978-3-030-23525-3_2