@article {1969916,
	title = {Combating False Information by Sharing the Truth:  A Study on the Spread of Fact-checks on Social Media},
	journal = {Information Systems Frontiers},
	year = {2022},
	month = {2022},
	abstract = {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.},
	keywords = {Business Analytics},
	author = {Li,Jiexun and Chang,Xiaohui}
}
@article {1984346,
	title = {Combating Misinformation by Sharing the Truth: a Study on the Spread of Fact-Checks on Social Media},
	journal = {Information Systems Frontiers},
	year = {2022},
	month = {2022},
	abstract = {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.},
	keywords = {Business Analytics},
	author = {Li,Jiexun and Chang,Xiaohui}
}
@article {1970106,
	title = {Measuring Destabilization and Consolidation in Scientific Knowledge Evolution},
	journal = {Scientometrics},
	year = {2022},
	month = {2022},
	keywords = {Strategy \& Entrepreneurship},
	author = {Li,Jiexun and Chen,Jiyao}
}
@article {1976981,
	title = {Impact of Team Size on Technological Contributions:  Unpacking Disruption and Development},
	year = {2020},
	month = {2020},
	address = {Vancouver CA},
	keywords = {BIS, Business Analytics, Finance, Strategy \& Entrepreneurship},
	author = {Chen,Jiyao and Shao,Rong and Fan,Shaokun and Li,Jiexun}
}
@article {1969936,
	title = {Improving Mobile Health Apps Usage: A Quantitative Study on mPower Data of Parkinson{\textquoteright}s Disease},
	journal = {Information Technology and People},
	volume = {34},
	year = {2020},
	month = {2020},
	pages = {399{\textendash}420},
	abstract = {<b>Purpose</b><br>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.<br><b><br>Design/methodology/approach</b><br>Using a data set collected from an mHealth app named mPower, developed for patients with Parkinson{\textquoteright}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.<br><br><b>Findings</b><br>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.<br><br><b>Research limitations/implications</b><br>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.<br><br><b>Originality/value</b><br>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.},
	keywords = {Business Analytics},
	author = {Li,Jiexun and Chang,Xiaohui}
}
@article {1969956,
	title = {Business Performance Prediction in Location-based Social Commerce},
	journal = {Expert Systems with Applications},
	volume = {126},
	year = {2019},
	month = {2019},
	pages = {112-123},
	abstract = {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.},
	keywords = {Business Analytics},
	author = {Chang,Xiaohui and Li,Jiexun}
}
@article {1975421,
	title = {Making Sense of Organization Dynamics Using Text Analysis.},
	journal = {Expert Systems with Applications},
	year = {2018},
	month = {2018},
	keywords = {BIS, Business Analytics, Supply Chain},
	author = {Li,Jiexun and Wu,Zhaohui and Zhu,Bin and Xu,Kaiquan}
}
@article {1977001,
	title = {A dynamic measure of knowledge evolution},
	year = {2017},
	month = {2017},
	address = {Atlanta, Georgia,},
	keywords = {Strategy \& Entrepreneurship},
	author = {Li,Jiexun and Chen,Jiyao}
}
@article {1980746,
	title = {Mining Hidden Organizational Structures from Meeting Records},
	year = {2015},
	month = {2015},
	address = {Philadelphia},
	keywords = {BIS, Business Analytics, Supply Chain},
	author = {Li,Jiexun and Wu,Zhaohui and Zhu,Bin}
}
@article {1980751,
	title = {Collective opinion classification: A global consistency maximization approach},
	year = {2014},
	month = {2014},
	address = {Aukland, New Zealand},
	keywords = {BIS, Business Analytics},
	author = {Li,Jiexun and Li,Xin and Zhu,Bin}
}
@article {1972831,
	title = {Evaluation of a hospital admission prediction model adding coded chief complaint data using neural network methodology},
	journal = {European Journal of Emergency Medicine},
	year = {2014},
	month = {2014},
	keywords = {BIS},
	author = {Handly,Neal and Thompson,David A and Li,Jiexun and Chuirazzi,David  M and Venkat,Arvind}
}
@article {1980756,
	title = {Mining knowledge sharing processes in online discussion forums},
	year = {2014},
	month = {2014},
	address = {Big Island, HI. U.S.A},
	keywords = {BIS},
	author = {Wang,G. Alan and Wang,Harry Jiannan and Li,Jiexun and Fan,Weiguo}
}
@article {1980771,
	title = {Discovering Consumer Health Expressions from Consumer-Contributed Content},
	year = {2013},
	month = {2013},
	address = {Washington DC, USA},
	keywords = {BIS},
	author = {Jiang,Ling and Yang,Christopher C and Li,Jiexun}
}
@article {1980761,
	title = {Finding patterns for effective knowledge sharing in online communities},
	year = {2013},
	month = {2013},
	address = {Milan, Italy},
	keywords = {BIS},
	author = {Li,Jiexun and Wang,G. Alan and Wang,Harry Jiannan and Fan,Weiguo}
}
@article {1980766,
	title = {Identifying hidden community elites in online social networks},
	year = {2013},
	month = {2013},
	address = {Tianjin, China},
	keywords = {BIS},
	author = {Hu,Daning and Li,Jiexun and Yang,Xuan and Yan,Jiaqi}
}
@article {1980786,
	title = {A Comparative Study of Smoking Cessation Intervention Programs on Social Media},
	year = {2012},
	month = {2012},
	address = {College Park, MD, USA},
	keywords = {BIS},
	author = {Zhang,Mi and Yang,Christopher C and Li,Jiexun}
}
@article {1972836,
	title = {Discovering target groups in social networking sites: An effective method for maximizing joint influential power},
	journal = {Electronic Commerce Research and Applications},
	volume = {11},
	year = {2012},
	month = {2012},
	pages = {318-334},
	keywords = {BIS},
	author = {Xu,Kaiquan and Guo,Xitong and Li,Jiexun and Lau,Raymond Y.K. and Liao,Stephan Shaoyi}
}
@article {1980781,
	title = {An effective method for discovering target groups on social networking sites},
	year = {2012},
	month = {2012},
	address = {Shanghai, China},
	keywords = {BIS},
	author = {Xu,Kaiquan and Li,Jiexun and Liao,Shaoyi and Lau,Raymond Y.K.}
}
@article {1980791,
	title = {Exploiting Semantic Structure for Mapping User-specified Form Terms to SNOMED CT Concepts},
	year = {2012},
	month = {2012},
	address = {Miami, FL, USA},
	keywords = {BIS},
	author = {Khare,Ritu and An,Yuan and Li,Jiexun and Song,Il-Yeol and Hu,Xiaohua}
}
@article {1972841,
	title = {Identifying valuable customers on social network sites for profit maximization},
	journal = {Expert Systems with Applications},
	volume = {39},
	year = {2012},
	month = {2012},
	pages = {13009-13018},
	keywords = {BIS},
	author = {Xu,Kaiquan and Li,Jiexun and Song,Yuxia}
}
@article {1972846,
	title = {Semantic-enhanced models to support timely admission prediction at emergency departments},
	journal = {Network Modeling Analysis in Health Informatics and Bioinformatics},
	volume = {1},
	year = {2012},
	month = {2012},
	pages = {161-172},
	keywords = {BIS},
	author = {Li,Jiexun and Guo,L. and Handly,N. and Thompson,D. A.}
}
@article {1980776,
	title = {Towards an Intelligent Approach to Extracting Data for Process Mining},
	year = {2012},
	month = {2012},
	address = {Orlando, FL, USA},
	keywords = {BIS},
	author = {Wang,Harry Jiannan and Li,Jiexun and Bai,Xue}
}
@article {1980796,
	title = {Criminal identity resolution using social behavior and relationship attributes},
	year = {2011},
	month = {2011},
	address = {Beijing, China},
	keywords = {BIS},
	author = {Li,Jiexun and Wang,G. Alan}
}
@article {1980801,
	title = {Derivation of hospital admission prediction models based on coded chief complaint, demographic, patient acuity and emergency department (ED) operational data available at ED triage},
	year = {2011},
	month = {2011},
	address = {Boston, MA, USA},
	keywords = {BIS},
	author = {Handly,Neal and Li,Jiexun and Thompson,David A and Venkat,A and Chuirazzi,D M}
}
@article {1972851,
	title = {Identity matching using personal and social identity features},
	journal = {Information Systems Frontiers},
	volume = {13},
	year = {2011},
	month = {2011},
	pages = {101-113},
	keywords = {BIS},
	author = {Li,Jiexun and Wang,Alan Gang and Chen,Hsinchun}
}
@article {1972856,
	title = {Mining comparative opinions from customer reviews for competitive intelligence},
	journal = {Decision Support Systems},
	volume = {50},
	year = {2011},
	month = {2011},
	pages = {743-754},
	keywords = {BIS},
	author = {Xu,Kaiquan and Liao,Stephan S and Li,Jiexun}
}
@article {1980806,
	title = {Sentiment Community Detection in Social Networks},
	year = {2011},
	month = {2011},
	address = {Seattle, WA, USA},
	keywords = {BIS},
	author = {Xu,Kaiquan and Li,Jiexun and Liao,Stephen Shaoyi}
}
@article {1980811,
	title = {Discourse Analysis of the Question-Answering Service of the Internet Public Library},
	year = {2010},
	month = {2010},
	address = {Boston, MA, USA},
	keywords = {BIS},
	author = {Poole,Erik V and Li,Jiexun and Park,Jung-Ran}
}
@article {1972866,
	title = {Gene function prediction with gene interaction networks: a context graph kernel approach},
	journal = {IEEE Transactions on Information Technology in Biomedicine},
	volume = {14},
	year = {2010},
	month = {2010},
	pages = {119-128},
	keywords = {BIS},
	author = {Li,Xin and Chen,Hshinchun and Li,Jiexun and Zhang,Zhu}
}
@article {1972861,
	title = {A policy-based process mining framework: Mining business policy texts for discovering process models},
	journal = {Information Systems and e-Business Management},
	volume = {8},
	year = {2010},
	month = {2010},
	pages = {169-188},
	keywords = {BIS},
	author = {Li,Jiexun and Wang,Harry Jianan and Zhang,Zhu and Zhao,J Leon}
}
@article {1980816,
	title = {Analyzing Writing Styles of Bloggers with Different Opinions},
	year = {2009},
	month = {2009},
	address = {Phoenix, AZ, USA},
	keywords = {BIS},
	author = {Park,Thomas H and Li,Jiexun and Zhao,Haozhen and Chau,Michaul}
}
@article {1980821,
	title = {Hospital admission prediction using pre-hospital variables},
	year = {2009},
	month = {2009},
	address = {Washington DC, USA},
	keywords = {BIS},
	author = {Li,Jiexun and Guo,Lifan and Handly,Neal}
}
@article {1972876,
	title = {Managing knowledge in light of its evolution process: An empirical study on citation network-based patent classification},
	journal = {Journal of Management Information Systems},
	volume = {26},
	year = {2009},
	month = {2009},
	pages = {129-153},
	keywords = {BIS},
	author = {Li,Xin and Chen,Hshinchun and Zhang,Zhu and Li,Jiexun and Nunamaker,Jay F.}
}
@article {1972881,
	title = {Sentiment analysis of Chinese documents: From sentence to document level},
	journal = {Journal of the Association for Information Science and Technology},
	volume = {60},
	year = {2009},
	month = {2009},
	pages = {2474-2487},
	keywords = {BIS},
	author = {Zhang,Changli and Zeng,Daniel and Li,Jiexun and Wang,Fei-Yue and Zuo,Wanli}
}
@article {1980826,
	title = {Visualizing the intellectual structure with paper-reference matrices},
	year = {2009},
	month = {2009},
	address = {Atlantic City, NJ, USA},
	keywords = {BIS},
	author = {Zhang,Jian and Chen,Chaomei and Li,Jiexun}
}
@article {1972871,
	title = {Visualizing the Intellectual Structure with Paper-Reference Matrices},
	journal = {IEEE Transactions on Visualization and Computer Graphics},
	volume = {15},
	year = {2009},
	month = {2009},
	pages = {1153-1160},
	keywords = {BIS},
	author = {Zhang,Jian and Chen,Chaomei and Li,Jiexun}
}
@article {1980851,
	title = {PRM-based identity matching using social context},
	year = {2008},
	month = {2008},
	address = {Taipei, Taiwan},
	keywords = {BIS},
	author = {Li,Jiexun and Wang,Gang Alan and Chen,Hsinchun}
}
@article {1980846,
	title = {Process component identification from business policy documents},
	year = {2008},
	month = {2008},
	address = {Yunnan, China},
	keywords = {BIS},
	author = {Li,Jiexun and Wang,Harry Jiannan and Zhang,Zhu and Zhao,J Leon}
}
@article {1980831,
	title = {Relation-centric task identification for policy-based process mining},
	year = {2008},
	month = {2008},
	address = {Paris, France},
	keywords = {BIS},
	author = {Li,Jiexun and Wang,Harry Jiannan and Zhang,Zhu and Zhao,J Leon}
}
@article {1980836,
	title = {Stylometric feature selection for assessing review helpfulness},
	year = {2008},
	month = {2008},
	address = {Paris, France},
	keywords = {BIS},
	author = {Li,Jiexun and MacDonald,Craig M and Zheng,Rong}
}
@article {1980841,
	title = {Theme creation for digital collections},
	year = {2008},
	month = {2008},
	address = {Berlin, Germany},
	keywords = {BIS},
	author = {Li,Jiexun and Xia,Lin and Zhou,Xiaohua}
}
@article {1980866,
	title = {Auto patent classification using citation network information: An experimental study in nanotechnology},
	year = {2007},
	month = {2007},
	address = {Vancouver, British Columbia, Canada},
	keywords = {BIS},
	author = {Li,Xin and Chen,Hsinchun and Zhang,Zhu and Li,Jiexun}
}
@article {1972886,
	title = {Complex problem solving: A case study on identity matching based on social contextual information},
	journal = {Journal of the Association for Information Systems: Special Issue Enid Mumford{\textquoteright}s Contribution to Information Systems Theory and Theoretical Thinking},
	volume = {8},
	year = {2007},
	month = {2007},
	pages = {Article 31},
	keywords = {BIS},
	author = {Xu,Jennifer and Wang,Alan G. and Li,Jiexun and Chau,Michaul}
}
@article {1980861,
	title = {Graph kernel-based learning for gene function prediction from gene interaction network},
	year = {2007},
	month = {2007},
	address = {Fremont, CA, USA},
	keywords = {BIS},
	author = {Li,Xin and Zhang,Zhu and Chen,Hsinchun and Li,Jiexun}
}
@article {1972891,
	title = {Large-scale regulatory network analysis from microarray data: Modified Bayesian network learning and association rule mining},
	journal = {Decision Support Systems},
	volume = {43},
	year = {2007},
	month = {2007},
	pages = {1207-1225},
	keywords = {BIS},
	author = {Huang,Zan and Li,Jiexun and Su,Hua and Watts,George S. and Chen,Hsinchun}
}
@article {1980856,
	title = {Mining business policy texts for discovering process models: A framework and some initial results},
	year = {2007},
	month = {2007},
	address = {Montreal, Quebec, Canada},
	keywords = {BIS},
	author = {Li,Jiexun and Wang,Harry Jiannan and Zhang,Zhu and Zhao,J Leon}
}
@article {1972896,
	title = {Optimal search-based gene subset selection for gene array cancer classification},
	journal = {IEEE Transactions on Information Technology in Biomedicine},
	volume = {11},
	year = {2007},
	month = {2007},
	pages = {398-405},
	keywords = {BIS},
	author = {Li,Jiexun and Su,Hua and Chen,Hsinchun and Futscher,Bernard W.}
}
@article {1980876,
	title = {A Bayesian framework of integrating gene functional relations from heterogeneous data sources},
	year = {2006},
	month = {2006},
	address = {Phoenix, AZ, USA},
	keywords = {BIS},
	author = {Li,Jiexun and Li,Xin and Su,Hua and Chen,Hsinchun}
}
@article {1972911,
	title = {A framework of authorship identification for online messages: Writing style features and classification techniques},
	journal = {Journal of the Association for Information Science and Technology},
	volume = {57},
	year = {2006},
	month = {2006},
	pages = {378-393},
	keywords = {BIS},
	author = {Zheng,Rong and Li,Jiexun and Chen,Hsinchun and Huang,Zan and Qin,Yi}
}
@article {1972901,
	title = {A framework of integrating gene functional relations from heterogeneous data sources: An experiment on Arabidopsis thaliana},
	journal = {Bioinformatics},
	volume = {22},
	year = {2006},
	month = {2006},
	pages = {2037-2043},
	keywords = {BIS},
	author = {Li,Jiexun and Li,Xin and Su,Hua and Chen,Hsinchun and Galbraith,David W.}
}
@article {1972906,
	title = {From fingerprint to writeprint},
	journal = {Communications of the ACM},
	volume = {49},
	year = {2006},
	month = {2006},
	pages = {76-82},
	keywords = {BIS},
	author = {Li,Jiexun and Zheng,Rong and Chen,Hsinchun}
}
@article {1980871,
	title = {Identity matching based on probabilistic relational models},
	year = {2006},
	month = {2006},
	address = {Acapulco, Mexico},
	keywords = {BIS},
	author = {Li,Jiexun and Wang,Gang Alan}
}
@article {1980881,
	title = {Optimal search-based gene subset selection for microarray cancer classification},
	year = {2006},
	month = {2006},
	address = {Phoenix, AZ, USA},
	keywords = {BIS},
	author = {Li,Jiexun and Su,Hua and Chen,Hsinchun and Futscher,Bernard W}
}
@article {1980886,
	title = {Optimal search based gene selection for cancer prognosis},
	year = {2005},
	month = {2005},
	address = {Omaha, NE},
	keywords = {BIS},
	author = {Li,Jiexun and Su,Hua and Chen,Hsinchun}
}
@article {1980891,
	title = {Genescene: Biomedical text and data mining},
	year = {2003},
	month = {2003},
	address = {Houston, TX, USA},
	keywords = {BIS},
	author = {Leroy,Gondy and Chen,Hsinchun and Martinez,Jessie and Eggers,S and Falsey,R and Kislin,K and Huang,Zan and Li,Jiexun and Xu,Jennifer and McDonald,Daniel and Ng,Gavin}
}
@article {1980901,
	title = {Discovering association rules with degrees of support and implication (ARsi)},
	year = {2002},
	month = {2002},
	address = {Gent, Belgium},
	keywords = {BIS},
	author = {Chen,Guoqing and Li,Jiexun and Yan,Peng and Kerre,E E}
}
@article {1980896,
	title = {Influence and conditional influence -- New interestingness measures in association rule mining},
	year = {2002},
	month = {2002},
	address = {Melbourne, Australia},
	keywords = {BIS},
	author = {Liu,De and Chen,Guoqing and Li,Jiexun}
}
@article {1980906,
	title = {A SAR-based interesting rule mining algorithm},
	year = {2002},
	month = {2002},
	address = {New Orleans, LA, USA},
	keywords = {BIS},
	author = {Li,Jiexun and Chen,Guoqing}
}
@article {1980911,
	title = {Influence and conditional influence -- New interestingness measures in association rule mining},
	year = {2001},
	month = {2001},
	address = {Melbourne, Australia},
	keywords = {BIS},
	author = {Li,Jiexun and Chen,Guoqing and Liu,De}
}