%0 Journal Article %J Information Systems Frontiers %D 2022 %T Combating False Information by Sharing the Truth: A Study on the Spread of Fact-checks on Social Media %A Li,Jiexun %A Chang,Xiaohui %K Business Analytics %X Misinformation on social media has become a horrendous problem in our society. Fact-checks on information often fall behind the diffusion of misinformation, which can lead to negative impacts on society. This research studies how different factors may affect the spread of fact-checks over the internet. We collected a dataset of fact-checks in a six-month period and analyzed how they spread on Twitter. The spread of fact-checks is measured by the total retweet count. The factors/variables include the truthfulness rating, topic of information, source credibility, etc. The research identifies truthfulness rating as a significant factor: conclusive fact-checks (either true or false) tend to be shared more than others. In addition, the source credibility, political leaning, and the sharing count also affect the spread of fact-checks. The findings of this research provide practical insights into accelerating the spread of the truth in the battle against misinformation online. %B Information Systems Frontiers %8 2022 %G eng %2 a %4 219699023872 %$ 219699023872 %0 Journal Article %J Information Systems Frontiers %D 2022 %T Combating Misinformation by Sharing the Truth: a Study on the Spread of Fact-Checks on Social Media %A Li,Jiexun %A Chang,Xiaohui %K Business Analytics %X Misinformation on social media has become a horrendous problem in our society. Fact-checks on information often fall behind the diffusion of misinformation, which can lead to negative impacts on society. This research studies how different factors may affect the spread of fact-checks over the internet. We collected a dataset of fact-checks in a six-month period and analyzed how they spread on Twitter. The spread of fact-checks is measured by the total retweet count. The factors/variables include the truthfulness rating, topic of information, source credibility, etc. The research identifies truthfulness rating as a significant factor: conclusive fact-checks (either true or false) tend to be shared more than others. In addition, the source credibility, political leaning, and the sharing count also affect the spread of fact-checks. The findings of this research provide practical insights into accelerating the spread of the truth in the battle against misinformation online. %B Information Systems Frontiers %8 2022 %G eng %2 a %4 219699023872 %$ 219699023872 %0 Generic %D 2020 %T Impact of Team Size on Technological Contributions: Unpacking Disruption and Development %A Chen,Jiyao %A Shao,Rong %A Fan,Shaokun %A Li,Jiexun %K BIS %K Business Analytics %K Finance %K Strategy & Entrepreneurship %B AOM Annual Meeting %C Vancouver CA %8 2020 %G eng %2 c %4 202782855168 %$ 202782855168 %0 Journal Article %J Information Technology and People %D 2020 %T Improving Mobile Health Apps Usage: A Quantitative Study on mPower Data of Parkinson's Disease %A Li,Jiexun %A Chang,Xiaohui %K Business Analytics %X Purpose
The emergence of mobile health (mHealth) products has created a capability of monitoring and managing the health of patients with chronic diseases. These mHealth technologies would not be beneficial unless they are adopted and used by their target users. This study identifies key factors affecting the usage of mHealth apps based on user usage data collected from an mHealth app.

Design/methodology/approach
Using a data set collected from an mHealth app named mPower, developed for patients with Parkinson’s disease (PD), this paper investigated the effects of disease diagnosis, disease progression, and mHealth app difficulty level on app usage, while controlling for user information. App usage is measured by five different activity counts of the app.

Findings
The results across five measures of mHealth app usage vary slightly. On average, previous professional diagnosis and high user performance scores encourage user participation and engagement, while disease progression hinders app usage.

Research limitations/implications
The findings potentially provide insights into better design and promotion of mHealth products and improve the capability of health management of patients with chronic diseases.

Originality/value
Studies on the mHealth app usage are critical but sparse because large-scale and reliable mHealth app usage data are limited. Unlike earlier works based solely on survey data, this research used a large user usage data collected from an mHealth app to study key factors affecting app usage. The methods presented in this study can serve as a pioneering work for the design and promotion of mHealth technologies. %B Information Technology and People %V 34 %P 399–420 %8 2020 %G eng %N 1 %2 a %4 176734351360 %$ 176734351360 %0 Journal Article %J Expert Systems with Applications %D 2019 %T Business Performance Prediction in Location-based Social Commerce %A Chang,Xiaohui %A Li,Jiexun %K Business Analytics %X Social commerce and location-based services provide a data platform for coexisting and competing businesses in geographical neighborhoods. Our research is aimed at mining data from such platforms to gain valuable insights for better support to strategic and operational business decisions. We develop a computational framework for predicting business performance that takes into account both intrinsic (e.g., attributes) and extrinsic (e.g., competitions) factors. Our experiments on synthetic and real datasets demonstrated superiority of a hybrid prediction model that adopts both link-based and context-based assumptions. %B Expert Systems with Applications %V 126 %P 112-123 %8 2019 %G eng %2 a %4 141504974848 %$ 141504974848 %0 Journal Article %J Expert Systems with Applications %D 2018 %T Making Sense of Organization Dynamics Using Text Analysis. %A Li,Jiexun %A Wu,Zhaohui %A Zhu,Bin %A Xu,Kaiquan %K BIS %K Business Analytics %K Supply Chain %B Expert Systems with Applications %8 2018 %G eng %2 a %4 152771403776 %$ 152771403776 %0 Generic %D 2015 %T Mining Hidden Organizational Structures from Meeting Records %A Li,Jiexun %A Wu,Zhaohui %A Zhu,Bin %K BIS %K Business Analytics %K Supply Chain %B INFORMS 2015 %C Philadelphia %8 2015 %G eng %2 c %4 125884504064 %$ 125884504064 %0 Generic %D 2014 %T Collective opinion classification: A global consistency maximization approach %A Li,Jiexun %A Li,Xin %A Zhu,Bin %K BIS %K Business Analytics %B The 24th Workshop on Information Technology and Systems (WITS) %C Aukland, New Zealand %8 2014 %G eng %2 c %4 98584274944 %$ 98584274944