Internet Research: Volume 34 Issue 5

The impacts of within-task and between-task personal Internet usage on employee creative performance: the moderating role of perceived organisational support

Yunyu Qian, Hemin Jiang

Employees' personal Internet usage (PIU) has become increasingly common at work. It is important for both researchers and managers to understand how PIU affects employee creative…

Determinants of debunking information sharing behaviour in social media users: perspective of persuasive cues

Fan Chao, Xin Wang, Guang Yu

Sharing and disseminating debunking information are critical to correcting rumours and controlling disease when dealing with public health crises. This study investigates the…

Competitive peer influence on knowledge contribution behaviors in online Q&A communities: a social comparison perspective

Chencheng Shi, Ping Hu, Weiguo Fan, Liangfei Qiu

Users' knowledge contribution behaviors are critical for online Q&A communities to thrive. Well-organized question threads in online Q&A communities enable users to clearly read…

How intergroup counter-empathy drives media consumption and engagement

Robin Wakefield, Kirk Wakefield

Social media is replete with malicious and unempathetic rhetoric yet few studies explain why these emotions are publicly dispersed. The purpose of the study is to investigate how…

It pays to be forthcoming: timing of data breach announcement, trust violation, and trust restoration

Steven Muzatko, Gaurav Bansal

This research examines the relationship between the timeliness in announcing the discovery of a data breach and consumer trust in an e-commerce company, as well as later…

Fake news detection using machine learning: an adversarial collaboration approach

Karen M. DSouza, Aaron M. French

Purveyors of fake news perpetuate information that can harm society, including businesses. Social media's reach quickly amplifies distortions of fake news. Research has not yet…

Using machine learning to investigate consumers' emotions: the spillover effect of AI defeating people on consumers' attitudes toward AI companies

Yongchao Martin Ma, Xin Dai, Zhongzhun Deng

The purpose of this study is to investigate consumers' emotional responses to artificial intelligence (AI) defeating people. Meanwhile, the authors investigate the negative…

Value creation for online collaboration between doctors and medical institutions: empirical evidence from online health communities

Manyang Zhang, Han Yang, Zhijun Yan, Lin Jia

Doctor–medical institution collaboration (DMIC) services are an emerging service mode in focal online health communities (OHCs). This new service mode is anticipated to affect…

Social media as a living laboratory for researchers: the relationship between linguistics and online user responses

Aulona Ulqinaku, Selma Kadić-Maglajlić, Gülen Sarial-Abi

Today, individuals use social media to express their opinions and feelings, which offers a living laboratory to researchers in various fields, such as management, innovation…

Wealth effects of firm's strategic technology investments: evidence from Ethereum blockchain

Kane Smith, Manu Gupta, Puneet Prakash, Nanda Rangan

Ethereum-based blockchain technology (EBT) affords members of the Enterprise Ethereum Alliance (EEA) a market advantage in deploying blockchain within their organizations…

What enhances or worsens the user-generated metaverse experience? An application of BERTopic to Roblox user eWOM

Yun Kyung Oh, Jisu Yi, Jongdae Kim

Given its growing economic potential and social impact, this study aims to understand the motivations and concerns regarding metaverse usage. It identifies user needs and risks…

Effect of the fit between situational regulatory focus and feedback focus on customers' co-design behavior

Xinxue Zhou, Jian Tang, Tianmei Wang

Customers' co-design behavior is an important source of knowledge for product innovation. Firms can regulate the focus of information interaction with customers to set goals and…

Motivation for writing long online reviews: a big data analysis of an anime community

Kevin Leung, Vincent Cho

Based on self-determination theory (SDT), this study aims to determine the motivation factors of reviewers writing long reviews in the anime industry.

A mixed-methods investigation of the factors affecting the use of facial recognition as a threatening AI application

Xiaojun Wu, Zhongyun Zhou, Shouming Chen

Artificial intelligence (AI) applications pose a potential threat to users' data security and privacy due to their high data-dependence nature. This paper aims to investigate an…