@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 {1969926, title = {Improving Student Engagement and Connection in Online Learning: Part II, Methodologies and Practices}, year = {2022}, month = {2022}, abstract = {The first article in the series appeared last December. Since then, we have received plenty of feedback from other instructors who are actively engaged in online education. Almost all of them agreed that teaching well online remains a challenging task. In this article, I discussed six specific practices that I have found particularly helpful for online teaching and learning.

Practice 1: Adopt a variety of communication methods
Practice 2: Create a Q\&A Discussion Board
Practice 3: Estimate the amount of time taken for each assignment
Practice 4: Ensure timely replies
Practice 5: Synchronize assignments with the Canvas calendar
Practice 6: Reorganize course content}, keywords = {Business Analytics}, url = {https://blogs.oregonstate.edu/inspire/2021/12/07/}, author = {Chang,Xiaohui} } @article {1970826, title = {Need for Speed, but How Much Does It Cost? Unpacking the Fee-Speed Relationship in Cryptocurrency Transactions}, journal = {Journal of Operations Management}, year = {2022}, month = {2022}, keywords = {BIS, Business Analytics}, author = {Shang,Guangzhi and Ilk,Noyan and Fan,Shaokun} } @conference {1972171, title = {Pixel Importance: The Impact of Saturation and Brightness on the Spread of Information on Social Media}, booktitle = {Springer Cham}, year = {2022}, month = {2022}, pages = {105}, keywords = {BIS, Business Analytics}, isbn = {1865-1348}, author = {Kaskela,Timothy and Zhu,Bin and Sayali,Dhamapurkar} } @article {1971291, title = {Bias in context: Small biases in hiring evaluations have big consequences.}, journal = {Journal of Management}, year = {2021}, month = {2021}, abstract = {It is widely acknowledged that subgroup bias can influence hiring evaluations. However, the notion that bias still threatens equitable hiring outcomes in modern employment contexts continues to be debated, even among organizational scholars. In this study, we sought to contextualize this debate by estimating the practical impact of bias on real-world hiring outcomes (a) across a wide range of hiring scenarios and (b) in the presence of diversity-oriented staffing practices. Toward this end, we conducted a targeted meta-analysis of recent hiring experiments that manipulated both candidate gender and qualifications to couch our investigation within ongoing debates surrounding the impact of small amounts of bias in otherwise meritocratic hiring contexts. Consistent with prior research, we found evidence of small gender bias effects (d = -0.30) and large qualification effects (d = 1.61) on hiring managers{\textquoteright} evaluations of candidate hireability. We then used these values to inform the starting parameters of a large-scale computer simulation designed to model conventional processes by which candidates are recruited, evaluated, and selected for open positions. Collectively, our simulation findings empirically substantiate assertions that even seemingly trivial amounts of subgroup bias can produce practically significant rates of hiring discrimination and productivity loss. Furthermore, we found contextual factors can alter but cannot obviate the consequences of biased evaluations,}, keywords = {Business Analytics, Management}, url = {https://doi.org/10.1177/0149206320982654}, author = {Hardy,Jay and Tey,K. S. and Wilson,Cyrus and Martell,Richard and Olstad,Andrew and Uhlmann,Eric Luis} } @article {1970126, title = {Destabilization and Consolidation: Conceptualizing, Measuring, and Validating the Dual Characteristics of Technology}, journal = {Research Policy}, volume = {50}, year = {2021}, month = {2021}, pages = {104-115}, keywords = {BIS, Business Analytics, Finance, Strategy \& Entrepreneurship}, author = {Chen,Jiyao and Shao,Rong and Fan,Shaokun} } @article {1970831, title = {Dividend or No Dividend in Delegated Blockchain Governance: A Game Theoretic Analysis}, journal = {Journal of Systems Science and Systems Engineering}, year = {2021}, month = {2021}, pages = {1-19}, keywords = {BIS, Business Analytics}, author = {Pan,Dapeng and Zhao,J. Leon and Fan,Shaokun and Zhang,Ziqiong} } @article {1975716, title = {Enhancing decision-making with data quality metadata}, journal = {Journal of Systems and Information Technology}, volume = {23}, year = {2021}, month = {2021}, keywords = {BIS, Business Analytics}, author = {Shankaranarayanan,G and Zhu,Bin} } @article {1969921, title = {Improving Student Engagement and Connection in Online Learning through Proactive Support}, year = {2021}, month = {2021}, abstract = {Xiaohui Chang associate professor of Business Analytics, doesn{\textquoteright}t hold office hours. She holds "ask me anything hours" as a part of her methods to engage, connect and show empathy for her online students. Her first essay on the Ecampus teaching journey has great tips for all of our increased interactions in the virtual space.}, keywords = {Business Analytics}, url = {https://blogs.oregonstate.edu/inspire/2021/12/07/improving-student-engagement-and-connection-in-online-learning-through-proactive-support/}, author = {Chang,Xiaohui} } @article {1968551, title = {Stability conditions of coupled autonomous vehicles formations}, journal = {IEEE Transactions on Control of Network Systems}, volume = {8}, year = {2021}, month = {2021}, pages = {513-522}, keywords = {Business Analytics, OSU-Cascades}, author = {Baldivieso,Pablo and Veerman,J} } @article {1970841, title = {Stability of Transaction Fees in Bitcoin: A Supply and Demand Perspective}, journal = {MIS Quarterly}, volume = {45}, year = {2021}, month = {2021}, pages = {563-692}, address = {Canyon}, keywords = {BIS, Business Analytics}, author = {Ilk,Noyan and Shang,Guangzhi and Fan,Shaokun and Zhao,J. Leon} } @article {1970836, title = {Combining Textual Cues with Social Clues: Utilizing Social Features to Improve Sentiment Analysis in Social Media}, journal = {Decision Sciences}, year = {2020}, month = {2020}, keywords = {BIS, Business Analytics}, author = {Ilk,Noyan and Fan,Shaokun} } @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 = {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{\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.

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.}, keywords = {Business Analytics}, author = {Li,Jiexun and Chang,Xiaohui} } @article {1969931, title = {Modeling and Regionalization of China{\textquoteright}s PM2.5 Using Spatial-Functional Mixture Models}, journal = {Journal of the American Statistical Association}, volume = {116}, year = {2020}, month = {2020}, pages = {116{\textendash}132}, keywords = {Business Analytics}, author = {Liang,Decai and Zhang,Haozhe and Chang,Xiaohui and Huang,Hui} } @article {1969946, title = {Noise Accumulation in High Dimensional Classification and Total Signal Index}, journal = {Journal of Machine Learning Research}, volume = {21}, year = {2020}, month = {2020}, pages = {1-23}, abstract = {Great attention has been paid to Big Data in recent years. Such data hold promise for scientific discoveries but also pose challenges to analyses. One potential challenge is noise accumulation. In this paper, we explore noise accumulation in high dimensional two-group classification. First, we revisit a previous assessment of noise accumulation with principal component analyses, which yields a different threshold for discriminative ability than originally identified. Then we extend our scope to its impact on classifiers developed with three common machine learning approaches{\textemdash}random forest, support vector machine, and boosted classification trees. We simulate four scenarios with differing amounts of signal strength to evaluate each method. After determining noise accumulation may affect the performance of these classifiers, we assess factors that impact it. We
conduct simulations by varying sample size, signal strength, signal strength proportional to the number predictors, and signal magnitude with random forest classifiers. These simulations suggest that noise accumulation affects the discriminative ability of high-dimensional classifiers developed using common machine learning methods, which can be modified by sample size, signal strength, and signal magnitude. We developed the measure total signal index (TSI) to track the trends of total signal and noise accumulation.}, keywords = {Business Analytics}, url = {http://jmlr.org/papers/volume21/19-117/19-117.pdf}, author = {Elman,Miriam and Minnier,Jessica and Chang,Xiaohui and Choi,Dongseok} } @article {1969941, title = {Realized Volatility Forecasting and Volatility Spillovers: Evidence from Chinese Non-Ferrous Metals Futures}, journal = {International Journal of Finance and Economics}, volume = {26}, year = {2020}, month = {2020}, pages = {2713{\textendash}2731}, abstract = {We study the prediction of realized volatility of non-ferrous metals futures traded on the Shanghai Futures Exchange from March 2011 to December 2017. A dynamic model averaging model is employed to combine multiple prediction models using time-varying weights based on individual model performance. Empirical results also reveal that models incorporating volatility spillovers across metals are important for forecast combinations, and short-term spillovers have a stronger impact than long-term spillovers. This approach offers the best forecasting performance and allows users to identify the most dominant model at any given time and demonstrate when and how volatility transmission from another metal is valuable for forecasting. We also find evidence of distinct trading behaviors in emerging and developed markets.}, keywords = {Business Analytics}, author = {Wang,Donghua and Xin,Yang and Chang,Xiaohui and Su,Xingze} } @article {1970851, title = {A text analytics framework for automated communication pattern analysis}, journal = {Information \& Management}, volume = {57}, year = {2020}, month = {2020}, keywords = {BIS, Business Analytics}, author = {Fan,Shaokun and Ilk,Noyan} } @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} } @booklet {1970846, title = {Impacts of Consensus Algorithms in Cryptocurrency: A Theoretical Analysis of PoW versus PoS in Ethereum}, year = {2019}, month = {2019}, pages = {16-22}, keywords = {BIS, Business Analytics}, author = {Pan,Dapeng and Zhao,J. Leon and Fan,Shaokun} } @article {1976986, title = {Knowledge Networks, Collaboration Networks, and Innovation: A Replication and Extension}, year = {2019}, month = {2019}, address = {Boston}, keywords = {BIS, Business Analytics, Strategy \& Entrepreneurship}, author = {Chen,Jiyao and Shen,Jia and Fan,Shaokun} } @booklet {1969951, title = {Location-based Data on Social Commerce Platforms can Provide Insights for Business Decisions}, year = {2019}, month = {2019}, address = {Corvallis, OR}, keywords = {Business Analytics}, author = {Chang,Xiaohui} } @article {1978186, title = {A Process Mining Framework for Communication Pattern Analysis in Online Contact Centers}, year = {2019}, month = {2019}, address = {Salt lake city}, keywords = {BIS, Business Analytics}, author = {Ilk,Noyan and Fan,Shaokun} } @article {1978181, title = {A Supply and Demand Model for Bitcoin{\textquoteright}s Data Space Marketplace}, year = {2019}, month = {2019}, address = {Munich}, keywords = {BIS, Business Analytics}, author = {Ilk,Noyan and Shang,Guangzhi and Fan,Shaokun} } @article {1978196, title = {Blockchain-Enabled Trust: The Case of Inter-Firm Dataflow}, year = {2018}, month = {2018}, address = {New Orleans}, keywords = {BIS, Business Analytics}, author = {Zhao,J. Leon and Fan,Shaokun and Zheng,Eric} } @article {1970856, title = {Community Engagement and Online Word of Mouth: An Empirical Investigation}, journal = {Information \& Management}, volume = {55}, year = {2018}, month = {2018}, pages = {258-270}, keywords = {BIS, Business Analytics}, author = {Wu,Ji and Fan,Shaokun and Zhao,J. Leon} } @article {1976991, title = {Development of Context-based Indices for Measuring Dynamic and Dualistic Nature of Innovation}, year = {2018}, month = {2018}, address = {Chicago, IL}, keywords = {BIS, Business Analytics, Finance, Strategy \& Entrepreneurship}, author = {Chen,Jiyao and Shao,Rong and Fan,Shaokun} } @article {1978201, title = {An Efficient Recommender System Using Locality Sensitive Hashing}, year = {2018}, month = {2018}, address = {Hawaii}, keywords = {BIS, Business Analytics}, author = {Zhang,Kunpeng and Fan,Shaokun and Wang,Harry} } @article {1969966, title = {Flexible and Efficient Estimating Equations for Variogram Estimation}, journal = {Computational Statistics and Data Analysis}, volume = {122}, year = {2018}, month = {2018}, pages = {45-58}, abstract = {Variogram estimation plays a vastly important role in spatial modeling. Different methods
for variogram estimation can be largely classified into least squares methods and likelihood
based methods. A general framework to estimate the variogram through a set of estimating
equations is proposed. This approach serves as an alternative approach to likelihood based
methods and includes commonly used least squares approaches as its special cases. The
proposed method is highly efficient as a low dimensional representation of the weight
matrix is employed. The statistical efficiency of various estimators is explored and the lag
effect is examined. An application to a hydrology data set is also presented.}, keywords = {Business Analytics}, author = {Sun,Ying and Chang,Xiaohui and Guan,Yongtao} } @article {1978191, title = {Investigating the Fee-Delay Relationship in Cryptocurrency Transactions: Evidence from the Bitcoin Network}, year = {2018}, month = {2018}, address = {Santa Clara}, keywords = {BIS, Business Analytics}, author = {Ilk,Noyan and Fan,Shaokun and Shang,Guangzhi} } @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} } @conference {1972176, title = {Social Media Response Based Upon Media Richness}, booktitle = {America{\textquoteright}s Conference on Information System}, year = {2018}, month = {2018}, address = {New Orleans, LA}, keywords = {Business Analytics}, author = {Kaskela,Timothy and Song,J} } @conference {1972181, title = {Social Media Responses Based Upon Frames and Symbol Sets}, booktitle = {17th Annual Pre-ICIS Workshop on HCI Research in MIS}, year = {2018}, month = {2018}, address = {San Francisco, CA}, keywords = {Business Analytics}, author = {Kaskela,Timothy and Song,J} } @article {1968556, title = {Spectra of certain large tridiagonal matrices}, journal = {Linear Algebra and Its Applications}, volume = {548}, year = {2018}, month = {2018}, pages = {123-147}, keywords = {Business Analytics, OSU-Cascades}, author = {Baldivieso,Pablo and Veerman,JJ P and Hammond,David K} } @article {1969961, title = {Using a Q Matrix to Assess Students{\textquoteright} Latent Skills in an Online Course}, year = {2018}, month = {2018}, keywords = {Business Analytics, Supply Chain}, url = {https://ecampus.oregonstate.edu/research/publications/white-papers/}, author = {Hsieh,Ping-Hung and Chang,Xiaohui and Olstad,Andrew} } @conference {1975726, title = {BEHAVIOR THEORY ENABLED GENDER CLASSIFICATION METHOD}, booktitle = {the Fifteeth workshop on e-Business (WeB 2016) in Dublin}, year = {2017}, month = {2017}, keywords = {BIS, Business Analytics}, author = {Wang,Jing and Yan,Xiangbin and Zhu,Bin} } @article {1970861, title = {Collaboration Process Pattern Approach to Improving Teamwork Performance: A Data Mining-Based Methodology}, journal = {INFORMS Journal on Computing}, volume = {29}, year = {2017}, month = {2017}, pages = {438-456}, keywords = {BIS, Business Analytics}, author = {Fan,Shaokun and Li,Xin and Zhao,J. Leon} } @conference {1975721, title = {The Different Behaviors between Product Searchers and Website Searchers}, year = {2017}, month = {2017}, keywords = {BIS, Business Analytics}, author = {Zun,Kai and Zhu,Bin and Zuo,Meiyun} } @conference {1972186, title = {Discovery of the Optimal Visualization for Representing Three Dimensions of Data Using Functional Magnetic Resonance Imaging}, booktitle = {International Conference on Information Systems}, year = {2017}, month = {2017}, address = {Seoul}, keywords = {Business Analytics}, author = {Bina,S and Graue,W and Jones,D and Kaskela,Timothy and Walden,E} } @article {1970871, title = {Enabling effective workflow model reuse: A data-centric approach}, journal = {Decision Support Systems}, volume = {93}, year = {2017}, month = {2017}, pages = {11-25}, keywords = {BIS, Business Analytics}, author = {Liu,Zhiyong and Fan,Shaokun and Wang,Harry and Zhao,J. Leon} } @article {1970866, title = {Introduction to the special issue of ECR on E-business innovation with big data}, journal = {Electronic Commerce Research}, year = {2017}, month = {2017}, keywords = {BIS, Business Analytics}, author = {Fan,Shaokun and Xiao,JInghua and Xie,Kang and Zhao,J. Leon} } @article {1969971, title = {The Lead-Lag Relationship between the Spot and Futures Markets in China}, journal = {Quantitative Finance}, volume = {17}, year = {2017}, month = {2017}, pages = {1447{\textendash}1456}, abstract = {Based on daily and one-minute high-frequency returns, this paper examines the
lead-lag dependence between the CSI 300 index spot and futures markets from 2010 to 2014. The
nonparametric and nonlinear thermal optimal path method is adopted. Empirical results of the
daily data indicate that the lead-lag relationship between the two markets is within one day but
this relationship is volatile since neither of the two possible situations (the futures leads or lags
behind the spot market) takes a dominant place. Besides, our results from high-frequency data
demonstrate that there is a price discovery in the Chinese futures market: the intraday one-minute
futures return leads the cash return by 0~5 minutes regardless of the price trend of the market.}, keywords = {Business Analytics}, author = {Wang,Donghua and Tu,Jingqing and Chang,Xiaohui and Li,Saiping} } @conference {1975731, title = {Differences between Younger and Senior Information Providers in Senior Online Communities}, booktitle = {the Fifteeth workshop on e-Business (WeB 2016) in Dublin}, year = {2016}, month = {2016}, keywords = {BIS, Business Analytics}, author = {Wang,Changyu and Zhu,Bin and Zuo,Meiyun} } @article {1976896, title = {Early Detection of Placement for Success in an Online Quantitative Class}, year = {2016}, month = {2016}, address = {Chicago, IL}, keywords = {Business Analytics, Supply Chain}, author = {Hsieh,Ping-Hung and Chang,Xiaohui and Olstad,Andrew} } @conference {1975736, title = {Helping Senior Participants Acquire the Right Type of Social Support in Online Communities}, booktitle = {The 10th China Summer Workshop on Information Management (CSWIM 2016)}, year = {2016}, month = {2016}, abstract = {Senior citizens could greatly be benefited from the social support received from a community(Choi et al. 2014; Goswami et al. 2010). Social support denotes to the interaction/communication with others, verbal or nonverbal, reducing the uncertainty or enhancing the self-perception of in control of one{\textquoteright}s own life (Albrecht and Adelman 1987). All participants of online communities are motivated by their desire of seeking social support. And such support occurs when community members form relational links among them and have interactions that intend to help (Heaney and Israel 2002). A network member can receive/send different types of social supports from/to others. Informational support transmits information and provides guidance related to the task/question a community member has (Krause 1986); emotional support expresses understanding, encouragement, empathy affection, affirming, validation, sympathy, caring and concern (House 1981; Wang et al. 2014); companionship or network support gives the recipient a sense of belonging (Keating 2013; Wang et al. 2014); and appraisal support enhances the self-evaluation of the recipient (House 1981). Studies have shown that people are usually motivated by their desire of seeking one or more types of social supports to participate in an online community (Goswami et al. 2010; Kanayama 2003; Pfeil 2007; Pfeil and Zaphiris 2009; Wright 2000; Xie 2008). And such social support can only be acquired during the interaction with others. For senior citizens, even though they can be greatly benefited from the social support received through participation, the obstacles they need to overcome in order to feel engaged could be larger than that of younger people (Charness and Boot 2009; Lee et al. 2011), especially when they come to the community for the first time. They could be easily overwhelmed by the content that has been generated by other existing members, finding it difficult to identify an appropriate member to initiate a meaningful interaction. It therefore is critical for an online community system to help senior participants identify other existing members who are more likely to supply the type of support they are seeking. While many previous studies have uncovered the variety factors, contextual (Pfeil and Zaphiris 2009; Wang et al. 2015; Xie 2008) or individual (Wang et al. 2014, 2015, 2012; Wright 1999), that impact the degree to which a senior citizen receives social support needed from an online community, it remains unclear what the characteristics of existing community members who are more likely to provide a new comer the kind of support, informational, emotional, companionship, or appraisal are. And the answer to this question may have significant academic and practical implications. This study thus proposes to fulfil the gap by utilizing data collected from a senior community website to investigate the links between the characteristics of existing senior members and the amount and the type of support they provided to new comers. }, keywords = {BIS, Business Analytics}, author = {Wang,Changyu and Zhu,Bin and Zuo,Meiyun} } @article {1970876, title = {Overview of business innovations and research opportunities in blockchain and introduction to the special issue}, journal = {Financial Innovation}, volume = {2}, year = {2016}, month = {2016}, keywords = {BIS, Business Analytics}, author = {Zhao,J. Leon and Fan,Shaokun and Yan,Jiaqi} } @article {1970881, title = {A Process Ontology Based Approach to Easing Semantic Ambiguity in Business Process Modeling}, journal = {Data and Knowledge Engineering}, volume = {102}, year = {2016}, month = {2016}, keywords = {BIS, Business Analytics}, author = {Fan,Shaokun and Hua,Z. and Storey,V. and Zhao,J. L.} } @article {1970896, title = {Demystifying big data analytics through the lens of marketing mix}, journal = {Big Data Research}, volume = {2}, year = {2015}, month = {2015}, pages = {28-32}, keywords = {BIS, Business Analytics}, author = {Fan,Shaokun and Lau,R. and Zhao,J. L.} } @article {1978211, title = {The Design of IdeaWorks: Applying Social Learning Networks to Support Tertiary Education}, year = {2015}, month = {2015}, keywords = {BIS, Business Analytics}, author = {Kang,Lele and Fan,Shaokun and Zhao,J. Leon} } @article {1969981, title = {Disease Risk Estimation by Combining Case-Control Data with Aggregated Information on the Population at Risk}, journal = {Biometrics}, volume = {71}, year = {2015}, month = {2015}, pages = {114-121}, abstract = {We propose a novel statistical framework by supplementing case-control data with summary statistics on the population at risk for a subset of risk factors. Our approach is to first form two unbiased estimating equations, one based on the case-control data and the other on both the case data and the summary statistics, and then optimally combine them to derive another estimating equation to be used for the estimation. The proposed method is computationally simple and more efficient than standard approaches based on case-control data alone. We also establish asymptotic properties of the resulting estimator, and investigate its finite-sample performance through simulation. As a substantive application, we apply the proposed method to investigate risk factors for endometrial cancer, by using data from a recently completed population-based case-control study and summary statistics from the Behavioral Risk Factor Surveillance System, the Population Estimates Program of the US Census Bureau, and the Connecticut Department of Transportation.}, keywords = {Business Analytics}, author = {Chang,Xiaohui and Waagepetersen,R. and Yu,H. and Ma,X. and Holford,T. R. and Wang,R. and Guan,Y.} } @article {1969976, title = {Dynamic relation of Chinese stock price-volume pre- and post- the Split Share Structure Reform: New evidence from a two-state Markov-switching approach}, journal = {China Finance Review International}, volume = {5}, year = {2015}, month = {2015}, pages = {386-401}, abstract = {Purpose {\textendash} The purpose of this paper is to identify the bull and bear regimes in Chinese stock market and empirically analyze the dynamic relation of Chinese stock price-volume pre- and post- the Split Share Structure Reform.

Design/methodology/approach {\textendash} The authors investigate the price-volume relationship in the Chinese stock market before and after the Split Share Structure Reform using Shanghai Composite Index daily data from July 1994 to April 2013. Using a two-state Markov-switching autoregressive model and a modified two-state Markov-switching vector autoregression model, this study identifies bull or bear market and also examine the existence of regime-dependent Granger causality.

Findings {\textendash} Using a two-state Markov-switching autoregressive model, the authors detect structural changes in the market volatility due to the reform, and find evidence of a positive rather than an asymmetric price-volume contemporaneous correlation. There is a strong dynamic Granger causal relation from stock returns to trading volume before and after the reform regardless of the market conditions, but the causal effects of volume on returns are only seen in the bear markets before the reform. The model is robust when using different stock indices and time periods.

Originality/value {\textendash} The work is different from previous studies in the following aspects: most of the existing empirical literature focus on the well-developed economies, but our interest lies in the emerging Chinese market that has witnessed rapid growth in the past decade; in contrast to many works in the literature that examine the price-volume relationship during one market condition, the authors compare the relationship in a bull market with that in a bear market, using a two-state MS-AR model; the authors also employ a modified two-state Markov-switching vector autoregression model to examine the existence of regime-dependent Granger causality; as the most massive systematic reform for the Chinese stock market since its inception in 2005, the Split Share Structure Reform has a profound impact on the Chinese stock market, thus it is of vital importance to explore its effects on both the price-volume relationship and the market structure.}, keywords = {Business Analytics}, author = {Wang,Donghua and Lei,Man and Chang,Xiaohui} } @article {1970886, title = {Harnessing Internet finance with innovative cyber credit management}, journal = {Financial Innovation}, volume = {1}, year = {2015}, month = {2015}, keywords = {BIS, Business Analytics}, author = {Lin,Z. and Whinston,A. B. and Fan,Shaokun} } @article {1982156, title = {Impact of Pharmacy Student Involvement in Medical Reconciliation on Samaritan Health Services Outpatient Clinics}, year = {2015}, month = {2015}, address = {New Orleans, LA}, keywords = {Business Analytics}, author = {Nguyen,Thi and Fahey,Colin and Olstad,Stacey and Olstad,Andrew} } @article {1982161, title = {Involvement of Pharmacy in Admission and Discharge Medication Review to Improve Patient Outcomes in an Inpatient Setting}, year = {2015}, month = {2015}, address = {New Orleans, LA}, keywords = {Business Analytics}, author = {Fahey,Colin and Nguyen,Thi and Olstad,Stacey and Olstad,Andrew} } @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} } @conference {1975741, title = {PREDICTING HABITUAL CONTINUING SOCIAL NETWORKING SITES USE OF THE ELDERLY}, booktitle = {Workshop on Doing IS Research in China, The 19th Pacific Asia Conference on Information Systems (PACIS 2015)}, year = {2015}, month = {2015}, address = {Singapore}, keywords = {BIS, Business Analytics}, url = {http://pacis2015.comp.nus.edu.sg/pages/workshops_cnais.html}, author = {Chai,Wen and Zuo,Meiyun and Zhu,Bin and Tian,Xuesong} } @article {1978206, title = {Sentiment Analysis in Social Media Platforms: The Contribution of Social Relationships}, year = {2015}, month = {2015}, address = {Dallas}, keywords = {BIS, Business Analytics}, author = {Fan,Shaokun and Ilk,Noyan and Zhang,Kunpeng} } @conference {1973186, title = {Weather Factors and Online Product/Service Reviews}, booktitle = {{\textquoteright}Doing IS Research in China{\textquoteright} Workshop of the Pacific Asia Conference on Information Systems (PACIS 2015)}, year = {2015}, month = {2015}, keywords = {Accounting, BIS, Business Analytics}, author = {Feng,Jiao and Yao,Zhong and Zhu,Bin and Marshall,Byron} } @article {1970891, title = {Workflow-Aware Attention Tracking to Enhance Collaboration Management}, journal = {Information Systems Frontiers}, volume = {17}, year = {2015}, month = {2015}, pages = {1253{\textendash}1264}, keywords = {BIS, Business Analytics}, author = {Fan,Shaokun and Kang,L and Zhao,J. L.} } @article {1970901, title = {Business Challenges and Research Directions of Management Analytics in the Big Data Era}, journal = {Journal of Management Analytics}, volume = {1}, year = {2014}, month = {2014}, pages = {169-174}, keywords = {BIS, Business Analytics}, author = {Zhao,J. L. and Fan,Shaokun and Hu,D.} } @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 {1978226, title = {Credit Risk Assessment of POS-Loans in the Big Data Era}, year = {2014}, month = {2014}, address = {Hongkong, China}, keywords = {BIS, Business Analytics}, author = {Bian,Yiyang and Fan,Shaokun and Ye,Ryan Liying and Zhao,J. Leon} } @conference {1975746, title = {Ensuring Positive Impact of Data Quality Metadata: Implications for Decision Support}, booktitle = {Twentieth Americas Conference on Information Systems (AMCIS{\textquoteright} 2014)}, year = {2014}, month = {2014}, address = {Savannah}, keywords = {BIS, Business Analytics}, author = {Shankar,G. and Zhu,Bin} } @article {1978221, title = {Formation and effect of Social Interactions in Online Brand Community: an Empirical Investigation.}, year = {2014}, month = {2014}, address = {Chengdu, China}, keywords = {BIS, Business Analytics}, author = {Wu,Ji and Fan,Shaokun and Wu,Manli and Zhao,J. Leon} } @article {1975751, title = {The Hl-index: Improvement of H-index Based on Quality of Citing Papers}, journal = {Akad{\'e}miai Kiad{\'o} and Springer Science+Business Media}, volume = {98}, year = {2014}, month = {2014}, pages = {1021-1031}, abstract = {This paper proposes hl-index as an improvement of the h-index, a popular measurement for the research quality of academic researchers. Although the h-index integrates the number of publications and the academic impact of each publication to evaluate the productivity of a researcher, it assumes that all papers that cite an academic article contribute equally to the academic impact of this article. This assumption, of course, could not be true in most times. The citation from a well-cited paper certainly brings more attention to the article than the citation from a paper that people do not pay attention to. It therefore becomes important to integrate the impact of papers that cite a researcher{\textquoteright}s work into the evaluation of the productivity of the researcher. Constructing a citation network among academic papers, this paper therefore proposes hl-index that integrating the h-index with the concept of lobby index, a measures that has been used to evaluate the impact of a node in a complex network based on the impact of other nodes that the focal node has direct link with. This paper also explores the characteristics of the proposed hl-index by comparing it with citations, h-index and its variant g-index.}, keywords = {BIS, Business Analytics}, author = {Zai,Li and Yan,Xiangbin and Zhu,Bin} } @article {1978216, title = {Scalable Audience Targeted Models for Brand Advertising on Social Networks}, year = {2014}, month = {2014}, address = {Foster City, CA, USA}, keywords = {BIS, Business Analytics}, author = {Zhang,Kunpeng and Ouksel,Aris M. and Fan,Shaokun and Liu,Hengchang} } @article {1969991, title = {Wavelet Methods in Interpolation of High-Frequency Spatial-Temporal Pressure}, journal = {Spatial Statistics}, volume = {8}, year = {2014}, month = {2014}, pages = {52{\textendash}68}, abstract = {The location-scale and whitening properties of wavelets make them more favorable for interpolating high-frequency monitoring data than Fourier-based methods. In the past, wavelets have been used to simplify the dependence structure in multiple time or spatial series, but little has been done to apply wavelets as a modeling tool in a space{\textendash}time setting, or, in particular, to take advantage of the localization of wavelets to capture the local dynamic characteristics of high-frequency meteorological data. This paper analyzes minute-by-minute atmospheric pressure data from the Atmospheric Radiation Measurement program using different wavelet coefficient structures at different scales and incorporating spatial structure into the model. This approach of modeling space{\textendash}time processes using wavelets produces accurate point predictions with low uncertainty estimates, and also enables interpolation of available data from sparse monitoring stations to a high density grid and production of meteorological maps on large spatial and temporal scales.}, keywords = {Business Analytics}, author = {Chang,Xiaohui and Stein,Michael L.} } @article {1975761, title = {An ACP Approach to Public Health Emergency Management: Using a Campus Outbreak of H1N1 Influenza as a Case Study}, journal = {IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems \& Humans}, volume = {43}, year = {2013}, month = {2013}, pages = {1028-1041}, abstract = {In order to tackle the infeasibility of building mathematical models and conducting physical experiments for public health emergencies in a real world, we apply the ACP (Artificial societies, Computational experiments, and Parallel execution) approach to public health emergency management. We conducted a case study on the largest collective outbreak of H1N1 influenza at a Chinese university in 2009. We built an artificial society to reproduce H1N1 influenza outbreaks. In computational experiments, aiming to obtain comparable results with the real data, we applied the same intervention strategy as that was used during the real outbreak. Then we compared experiment results with real data to verify our models, including spatial models, population distribution, weighted social networks, contact patterns, students{\textquoteright} behaviors, and models of H1N1 influenza disease, in the artificial society. We then applied alternative intervention strategies to the artificial society. The simulation results suggested that alternative strategies controlled the outbreak of H1N1 influenza more effectively. Our models and their application to intervention strategy improvement show that the ACP approach is useful for public health emergency management}, keywords = {BIS, Business Analytics}, author = {Duan,Wei and Cao,Zhidong and Wang,Youzhong and Zhu,Bin and Zeng,Daniel and Wang,Fei-Yue and Qiu,Xiaogang and Song,Hongbin and Wang,Yong} } @conference {1975756, title = {A cognitive-neural approach to explaining market oscillations in a fully recurrent adaptive agent population}, year = {2013}, month = {2013}, abstract = {Recreating market oscillations to study the markets often makes use of induced activity reversal via finite share or auction thresholds, strategically replacing agents via bankruptcy or genetic algorithm rules, heavily data specific network parameterization, or stochastic randomness. However, such techniques do not shed any additional light on how and why intelligent individual scale agents may spontaneously and rationally decide to endogenously change from a buying to a selling posture within a population. This paper introduces Social Netmap, an agent based population of general purpose, parameter-free, adaptive agents adjusting their behavior in real time to the directly observed aggregate and individual behaviors of their neighbors much like real intelligent actors might in a population. Without relying on random processes, validated parameters, turning-point thresholds, or agent replacement, Social Netmap was able to endogenously create typical market oscillations in 21 out of 30 cases of real Dow Jones Industrial Average data. Social Netmap points towards future work in more realistic group behavior of intelligent, rational agents.}, keywords = {BIS, Business Analytics}, url = {http://www.dmi.unict.it/ecal2013/}, author = {Wong,Charles and Versace,Massimiliano and Zhu,Bin} } @article {1983941, title = {Data/Knowledge Management for LIDAR Data Users/Researchers}, year = {2013}, month = {2013}, address = {ºÚÁÏÍø¹ÙÍø}, keywords = {BIS, Business Analytics}, author = {Zhu,Bin and Olson,Michael} } @article {1969986, title = {Decorrelation Property of Discrete Wavelet Transform Under Fixed-Domain Asymptotics}, journal = {IEEE Transactions on Information Theory}, volume = {59}, year = {2013}, month = {2013}, pages = {8001-8013}, abstract = {Theoretical aspects of the decorrelation property of the discrete wavelet transform when applied to stochastic processes have been studied exclusively from the increasing-domain perspective, in which the distance between neighboring observations stays roughly constant as the number of observations increases. To understand the underlying data-generating process and to obtain good interpolations, fixed-domain asymptotics, in which the number of observations increases in a fixed region, is often more appropriate than increasing-domain asymptotics. In the fixed-domain setting, we prove that, for a general class of inhomogeneous covariance functions, with suitable choice of wavelet filters, the wavelet transform of a nonstationary process has mostly asymptotically uncorrelated components.}, keywords = {Business Analytics}, author = {Chang,Xiaohui and Stein,Michael L.} } @article {1978231, title = {Ever-Changing Workarounds: A Model for Workaround Management Lifecycle in Healthcare Workflow}, year = {2013}, month = {2013}, address = {Milan, Italy}, keywords = {BIS, Business Analytics}, author = {Fan,Shaokun and Tong,Yu and Zhao,J. Leon} } @booklet {1985036, title = {Gender Classification for Product Reviewers in China: A Data-Driven Approach}, year = {2013}, month = {2013}, abstract = {While it is crucial for organizations to automatically identify the gender of participants in product discussion forums, they may have difficulties adopting existing gender classification methods because the associations between the linguistic features used in those studies and gender type usually varies with context. The prototype system we propose to demo validates a framework for the development of gender classification that uses a more {\textquotedblleft}data-driven{\textquotedblright} approach. It constantly extracts content-specific features from the discussion content. And the system could automatically adjust itself to accommodate the contextual changes in order to achieve better classification accuracy.}, keywords = {BIS, Business Analytics}, url = {http://www.som.buffalo.edu/isinterface/wits2013/}, author = {Zhu,Bin and Yan,Xiangbin and Wang,Jing} } @article {1983946, title = {Mapping User requirements to Design Alternatives: The Whole Nine yards}, year = {2013}, month = {2013}, address = {ºÚÁÏÍø¹ÙÍø}, keywords = {BIS, Business Analytics}, author = {Zhu,Bin and Hoyle,Christopher} } @article {1978241, title = {Collaboration Process Patterns and Efficiency of Issue Resolution in Software Development}, year = {2012}, month = {2012}, address = {Denver, CO, USA}, keywords = {BIS, Business Analytics}, author = {Fan,Shaokun and Li,Xin and Zhao,J. Leon} } @conference {1985041, title = {Data Quality Metadata and Decision Making}, booktitle = {45th Hawaii International International Conference on Systems Science (HICSS-45 2012), Proceedings,}, year = {2012}, month = {2012}, pages = {1434-1443}, address = {Grand Wailea, Maui, HI, USA}, keywords = {BIS, Business Analytics}, author = {Shankaranarayanan,G. and Zhu,Bin} } @article {1983961, title = {Finding People Who Forward Your Messages}, year = {2012}, month = {2012}, address = {ºÚÁÏÍø¹ÙÍø}, keywords = {BIS, Business Analytics}, author = {Zhu,Bin and Chau,Michael} } @article {1983956, title = {Finding People Who Forward Your Messages}, year = {2012}, month = {2012}, address = {Snowbird, Utah}, keywords = {BIS, Business Analytics}, author = {Zhu,Bin and Chau,Michael} } @article {1983951, title = {Finding People Who Retweet}, year = {2012}, month = {2012}, address = {Beijing, China}, keywords = {BIS, Business Analytics}, author = {Zhu,Bin} } @article {1970906, title = {A Framework for the Transformation from Conceptual to Logical Workflow Models}, journal = {Decision Support Systems}, volume = {55}, year = {2012}, month = {2012}, pages = {781-794}, keywords = {BIS, Business Analytics}, author = {Fan,Shaokun and Zhao,J. L. and Liu,M. and Dou,W.} } @conference {1984581, title = {Is It You or the Message: Why Do People Pass Along Micro-Blogging Messages?}, booktitle = {The Eleventh Workshop on e-Business (WeB{\textquoteright}12)}, year = {2012}, month = {2012}, address = {Orlando, Florida}, keywords = {Accounting, BIS, Business Analytics}, author = {Zhu,Bin and Marshall,Byron} } @article {1975766, title = {Patterns of News Dissemination through Online News Network in China}, journal = {Information Systems Frontiers}, volume = {16}, year = {2012}, month = {2012}, pages = {557-570}, keywords = {BIS, Business Analytics}, author = {Wang,Youzhong and Zeng,Daniel and Zhu,Bin} } @article {1978236, title = {Towards Collaboration Virtualization Theory}, year = {2012}, month = {2012}, address = {Ho Chi Minh City, Vietnam}, keywords = {BIS, Business Analytics}, author = {Fan,Shaokun and Sia,Choon-Ling and Zhao,J. Leon} } @article {1982166, title = {Comparing Item Nonresponse and Responses Across Modes in General Population Surveys.}, year = {2011}, month = {2011}, address = {Phoenix, AZ}, keywords = {Business Analytics}, author = {Lesser,Dr. Virginia M and Olstad,Andrew} } @conference {1985046, title = {Patterns of News Dissemination through Online News Network in China}, booktitle = {Proceedings of the 21st Workshop on Information Technologies and Systems (WITS 2011), Shanghai, China, December 3rd, 2011}, year = {2011}, month = {2011}, keywords = {BIS, Business Analytics}, author = {Wang,Youzhong and Zeng,Daniel and Zhu,Bin} } @article {1970911, title = {A Collaborative Scheduling Approach for Service-Driven Scientific Workflow Execution}, journal = {Journal of Computer and System Sciences}, volume = {76}, year = {2010}, month = {2010}, keywords = {BIS, Business Analytics}, author = {Dou,W. and Zhao,J. L. and Fan,Shaokun} } @article {1983971, title = {Finding Treasures in Your Trash}, year = {2010}, month = {2010}, address = {Chengdu, China}, keywords = {BIS, Business Analytics}, author = {Zhu,Bin and Luo,X. and Ma,J. and Chau,M.} } @conference {1985061, title = {Finding Treasures in Your Trash,}, booktitle = {Proceedings of Joint Conference of eServices and Business Intelligence, Chengdu, China, June 4th-6th, 2010}, year = {2010}, month = {2010}, keywords = {BIS, Business Analytics}, author = {Zhu,Bin and Luo,Xin and Ma,James and Chau,Michael} } @conference {1985051, title = {Understanding Awareness Diffusion at Twitter.com}, booktitle = {Proceedings of the Sixteenth Americas Conference on Information Systems, Lima, Peru, August 12th-15th 2010}, year = {2010}, month = {2010}, keywords = {BIS, Business Analytics}, author = {Zhu,Bin and Chau,Michael} } @article {1983966, title = {Understanding Awareness Diffusion at Twitter.com}, year = {2010}, month = {2010}, address = {Lima, Peru}, keywords = {BIS, Business Analytics}, author = {Zhu,Bin and Chau,M} } @article {1975771, title = {Visualization of network concepts: The impact of working memory capacity differences}, journal = {Decision Support Systems}, volume = {21}, year = {2010}, month = {2010}, pages = {327-344}, keywords = {BIS, Business Analytics}, author = {Zhu,Bin and Watts,S.} } @article {1975776, title = {Visualizing Social Network Concepts}, journal = {Decision Support Systems}, volume = {49}, year = {2010}, month = {2010}, pages = {151-161}, keywords = {BIS, Business Analytics}, author = {Zhu,Bin and Watts,S. and Chen,H.} } @conference {1985056, title = {Communication Clique Evolution Graph: A Tool to Monitor Conflicts in Virtual Teams}, booktitle = {Proceedings of 8th Workshop on e-Business (WeB{\textquoteright}09), Phoenix, AZ, USA.}, year = {2009}, month = {2009}, keywords = {BIS, Business Analytics}, author = {Zhu,Bin and Qin,Jialun} } @article {1983976, title = {Communication Clique Evolution Graph: A Tool to Monitor Conflicts in Virtual Teams}, year = {2009}, month = {2009}, address = {Phoenix, AZ}, keywords = {BIS, Business Analytics}, author = {Qin,J. and Zhu,Bin and Gaynor,M. and Bradner,S.} } @article {1983991, title = {Expanding Research Using System Development as Methodology}, year = {2009}, month = {2009}, address = {Tucson, AZ}, keywords = {BIS, Business Analytics}, author = {Zhu,Bin} } @inbook {1985071, title = {Information Visualization for Decision Making}, year = {2009}, month = {2009}, keywords = {BIS, Business Analytics}, author = {Zhu,Bin and Chen,H.} } @article {1970916, title = {Transformation Framework of Conceptual to Logical Business Process Models}, journal = {China Journal of Information Systems}, volume = {3}, year = {2009}, month = {2009}, abstract = {(In Chinese)}, keywords = {BIS, Business Analytics}, author = {Liu,M. and Fan,Shaokun and Zhao,J. L. and Dou,W.} } @article {1983981, title = {Understanding How Product Information Traverses Across Online Communities}, year = {2009}, month = {2009}, address = {Guangzhou, China}, keywords = {BIS, Business Analytics}, author = {Zhu,Bin and Yang,C.} } @conference {1985076, title = {Understanding How Product Information Traverses Across Online Communities}, booktitle = {Proceedings of Third China Workshop on Information Management 2009, Guangzhou, China}, year = {2009}, month = {2009}, keywords = {BIS, Business Analytics}, author = {Zhu,Bin and Yang,Chris} } @article {1983986, title = {Visualizing Data Quality Metadata for Decision Support: A Prototype and Evaluation}, year = {2009}, month = {2009}, address = {San Francisco, CA}, keywords = {BIS, Business Analytics}, author = {Zhu,Bin and Shankaranarayanan,G. and Cai,Y.} } @conference {1985066, title = {Visualizing Data Quality Metadata for Decision Support: A Prototype and Evaluation}, booktitle = {Proceedings of the Fifteenth Americas Conference on Information Systems, San Francisco, California}, year = {2009}, month = {2009}, keywords = {BIS, Business Analytics}, author = {Shankaranarayanan,G. and Zhu,Bin} } @article {1975781, title = {CommunicationGarden System: Visualizing a Computer Mediated Communication System to Facilitate Knowledge Management}, journal = {Decision Support Systems}, volume = {45}, year = {2008}, month = {2008}, pages = {778-794}, keywords = {BIS, Business Analytics}, author = {Zhu,Bin and Chen,H.} } @article {1970931, title = {Complex Problem Solving based on Complex Problem Definition Model}, journal = {Application Research of Computers}, volume = {25}, year = {2008}, month = {2008}, abstract = {(In Chinese)}, keywords = {BIS, Business Analytics}, author = {Fan,Shaokun and Wanchun,D.} } @article {1970921, title = {A context- and role-driven scientific workflow development pattern}, journal = {Concurrency and Computation: Practice and Experience}, volume = {20}, year = {2008}, month = {2008}, pages = {1741-1757}, keywords = {BIS, Business Analytics}, author = {Wanchun,D. and Chen,J. and Fan,Shaokun and Cheung,S. C.} } @article {1970936, title = {Context-aware Resource Access Control in Scientific Workflows}, journal = {Computer Engineering and Design}, volume = {29}, year = {2008}, month = {2008}, abstract = {(In Chinese)}, keywords = {BIS, Business Analytics}, author = {Fan,Shaokun and Wanchun,D. and Xiping,L.} } @article {1984001, title = {Decision support with data quality metadata}, year = {2008}, month = {2008}, address = {Boston, MA}, keywords = {BIS, Business Analytics}, author = {Shankaranarayanan,G. and Zhu,Bin and Cai,Y.} } @article {1984006, title = {Monitoring Conflicts in Virtual Teams: A Social Network Approach}, year = {2008}, month = {2008}, address = {Kunming, China}, keywords = {BIS, Business Analytics}, author = {Zhu,Bin and Gaynor,M} } @article {1983996, title = {Monitoring Team Conflicts through the Visualization of Social Networks}, year = {2008}, month = {2008}, address = {Paris, France}, keywords = {BIS, Business Analytics}, author = {Zhu,Bin and Gaynor,M and Bradner,S.} } @article {1970926, title = {A Workflow Engine-Driven SOA-Based Cooperative Computing Paradigm in Grid Environments}, journal = {International Journal of High Performance Computing Applications}, volume = {22}, year = {2008}, month = {2008}, keywords = {BIS, Business Analytics}, author = {Wanchun,D. and Chen,J. and Liu,J and Cheung,S. C. and Chen,G. and Fan,Shaokun} } @article {1970946, title = {On Design, Verification, and Dynamic Modification of the Problem-Based Scientific Workflow Model}, journal = {Simulation Modeling Practice and Theory}, volume = {15}, year = {2007}, month = {2007}, keywords = {BIS, Business Analytics}, author = {Liu,X. and Wanchun,D. and Chen,J. and Fan,Shaokun and Cheung,S. C. and Cai,S.} } @article {1970941, title = {A Fuzzy Directed Graph-based QoS Model for Service Composition}, journal = {Wuhan University Journal of Natural Sciences}, volume = {12}, year = {2007}, month = {2007}, keywords = {BIS, Business Analytics}, author = {Sanjun,G. and Wanchun,D. and Fan,Shaokun} } @article {1984011, title = {Integrating Data Quality Data into Decision-Making Process: an Information Visualization Approach}, year = {2007}, month = {2007}, address = {Beijing, China}, keywords = {BIS, Business Analytics}, author = {Zhu,Bin and Shankaranarayanan,G. and Cai,Y.} } @article {1984016, title = {Management Information Systems Research is USA}, year = {2006}, month = {2006}, address = {Chengdu, China}, keywords = {BIS, Business Analytics}, author = {Zhu,Bin} } @article {1975786, title = {Information Visualization}, journal = {Annual Review of Information Science and Technology}, volume = {39}, year = {2005}, month = {2005}, keywords = {BIS, Business Analytics}, author = {Zhu,Bin and Chen,H.} } @article {1975791, title = {NewsMap: A Knowledge Map for Online News}, journal = {Decision Support Systems}, volume = {39}, year = {2005}, month = {2005}, pages = {583-597}, keywords = {BIS, Business Analytics}, author = {Ong,T-H. and Chen,H. and Sung,WK and Zhu,Bin} } @article {1984021, title = {Research in Management Information Systems}, year = {2005}, month = {2005}, address = {Nanchang, Jiangxi, P.R. China}, keywords = {BIS, Business Analytics}, author = {Zhu,Bin} } @article {1975796, title = {Using 3D Interfaces to Facilitate the Spatial Knowledge Retrieval: A Geo-referenced Knowledge Repository System}, journal = {Decision Support Systems}, volume = {40}, year = {2005}, month = {2005}, pages = {167-182}, keywords = {BIS, Business Analytics}, author = {Zhu,Bin and Chen,H.} } @article {1984026, title = {The Design for an Effective Knowledge Repository System}, year = {2003}, month = {2003}, address = {Minneapolis, MN}, keywords = {BIS, Business Analytics}, author = {Zhu,Bin and Iyer,B.} } @article {1975801, title = {HelpfulMed: Intelligent Searching for Medical Information over the Internet}, journal = {Journal of the Association for Information Science and Technology}, volume = {54}, year = {2003}, month = {2003}, pages = {683-694}, keywords = {BIS, Business Analytics}, author = {Chen,H. and Lally,A.M. and Zhu,Bin and Chau,M.} } @article {1984031, title = {MedTextus: an intelligent web-based medical meta-search system}, year = {2002}, month = {2002}, address = {Portland, OR}, keywords = {BIS, Business Analytics}, author = {Zhu,Bin and Leory,G. and Chen,H. and Chen,Y.} } @article {1984036, title = {Visualizing a computer mediated communication (CMC) process to facilitate knowledge management}, year = {2002}, month = {2002}, address = {Minneapolis, MN}, keywords = {BIS, Business Analytics}, author = {Zhu,Bin and Chen,H.} } @article {1984041, title = {Visualizing Computer-Mediated Communication Process}, year = {2002}, month = {2002}, keywords = {BIS, Business Analytics}, author = {Zhu,Bin} } @article {1984046, title = {Visualizing Computer-Mediated Communication Process}, year = {2002}, month = {2002}, keywords = {BIS, Business Analytics}, author = {Zhu,Bin} } @article {1984051, title = {Social Visualization for Computer-Mediated Communication: A Knowledge Management Perspective}, year = {2001}, month = {2001}, keywords = {BIS, Business Analytics}, author = {Zhu,Bin and Chen,H.} } @article {1984061, title = {Visualizing Computer-Mediated Communication Process}, year = {2001}, month = {2001}, address = {Rochester, NY}, keywords = {BIS, Business Analytics}, author = {Zhu,Bin} } @article {1984066, title = {Visualizing Computer-Mediated Communication Process}, year = {2001}, month = {2001}, address = {Colorado Springs, CO}, keywords = {BIS, Business Analytics}, author = {Zhu,Bin} } @article {1984056, title = {Visualizing Computer-Mediated Communication Process}, year = {2001}, month = {2001}, address = {Bloomington, IN}, keywords = {BIS, Business Analytics}, author = {Zhu,Bin} } @article {1975806, title = {Creating a Large-Scale Content-Based Air Photo Image Digital Library}, journal = {IEEE Transactions on Image Processing}, volume = {9}, year = {2000}, month = {2000}, pages = {163-167}, keywords = {BIS, Business Analytics}, author = {Zhu,Bin and Ramsey,M. and Chen,H.} } @article {1975811, title = {Validating a Geographical Image Retrieval System}, journal = {Journal of the Association for Information Science and Technology}, volume = {51}, year = {2000}, month = {2000}, pages = {625-634}, keywords = {BIS, Business Analytics}, author = {Zhu,Bin and Chen,H.} } @article {1975816, title = {A Collection of Visual Thesauri for Browsing Large Collections of Geographic Images}, journal = {Journal of the Association for Information Science and Technology}, volume = {50}, year = {1999}, month = {1999}, pages = {826-835}, keywords = {BIS, Business Analytics}, author = {Ramsey,M. and Chen,H. and Zhu,Bin} } @article {1984071, title = {Creating a Large Scale Digital Library for Geo-Referenced Information}, year = {1999}, month = {1999}, keywords = {BIS, Business Analytics}, author = {Zhu,Bin and Ramsey,M and Chen,H. and Hauck,R.V. and Ng,T.D. and Schatz,B.} } @article {1984076, title = {Support Concept-Based Multimedia Information Retrieval: A Knowledge Management Approach}, year = {1999}, month = {1999}, keywords = {BIS, Business Analytics}, author = {Zhu,Bin and Ramsey,M. and Chen,H. and Hauck,R.V. and Ng,T.D. and Schatz,B.} } @article {1975171, title = {Bayesian Estimation of a Finite Population Total using Auxiliary Information in the Presence of Nonresponse}, journal = {Journal of the American Statistical Association}, volume = {77}, year = {1983}, month = {1983}, pages = {97-102}, keywords = {BIS, Business Analytics}, author = {Smouse,Evan} } @article {1975176, title = {Estimating proportionate changes in rates}, journal = {American Journal of Epidemiology}, volume = {117}, year = {1983}, month = {1983}, pages = {235-243}, keywords = {BIS, Business Analytics}, author = {Smouse,Evan} } @article {1975181, title = {Nonparametric Bayesian Inference for Dichotomous Response Models}, journal = {Communications in Statistics - Theory \& Methods}, volume = {12}, year = {1983}, month = {1983}, pages = {2847-2859}, keywords = {BIS, Business Analytics}, author = {Smouse,Evan} } @article {1975186, title = {Statistical Concepts and Proper Use}, journal = {Archives of Pediatrics and Adolescent Medicine}, volume = {137}, year = {1983}, month = {1983}, pages = {503}, keywords = {BIS, Business Analytics}, author = {Smouse,Evan} } @article {1984341, title = {Additive Dynamic Models for Correcting Numerical Model Outputs}, journal = {Computational Statistics and Data Analysis}, month = {2023 In Press}, abstract = {
Numerical air quality models are pivotal for the prediction and assessment of air pollution, but numerical model outputs may be systematically biased. An additive dynamic model is proposed to correct large-scale raw model outputs using data from other sources, including readings collected at ground monitoring networks and weather outputs from other numerical models. An additive partially linear model specification is employed for the nonlinear relationships between air pollutants and covariates. In addition, a multi-resolution basis function approximate is proposed to capture the different small-scale variations of biases, and a discretized stochastic
integro-differential equation is constructed to characterize the dynamic evolution of the random coefficients at each spatial resolution. An expectation-maximization algorithm is developed for parameter estimation and a multi-resolution ensemble-based scheme is embedded to accelerate the computation. For statistical inference, a conditional simulation technique is applied to quantify the uncertainty of parameter estimates and bias correction results. The proposed approach is used to correct the biased raw outputs of PM2.5 from the Community Multiscale Air
Quality (CMAQ) system for China{\textquoteright}s Beijing-Tianjin-Hebei region. Our method improves the root mean squared error and continuous rank probability score by 43.70\% and 34.76\%, respectively. Compared to other statistical methods under different metrics, our model has advantages in both correction accuracy and computational efficiency.}, keywords = {Business Analytics}, author = {Chang,Xiaohui and Chen,Yewen and Huang,Hui and Luo,Fangzhi} } @article {1984481, title = {$\#$SocialMediaWellness: Exploring a Research Agenda for Healthy Social Media Consumption}, journal = {Journal of Consumer Behaviour}, month = {2023 In Press}, keywords = {Business Analytics}, author = {Mertz,Breanne and Hass,Ashley and Anderson,Kelley Cours and Kaskela,Timothy and Zmich,Louis J.} } @article {1984486, title = {Special Purpose Mental Faculties Enable People to Effectively Answer Difficult Questions Using 3D Surface Graphs}, journal = {Decision Support Systems}, month = {2023 In Press}, keywords = {Business Analytics}, author = {Bina,Saman and Kaskela,Timothy and Jones,Donald and Walden,Eric and Graue,William} }