TY - JOUR
T1 - Combating False Information by Sharing the Truth: A Study on the Spread of Fact-checks on Social Media
JF - Information Systems Frontiers
Y1 - 2022
A1 - Li,Jiexun
A1 - Chang,Xiaohui
KW - Business Analytics
AB - 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.
U2 - a
U4 - 219699023872
ID - 219699023872
ER -
TY - JOUR
T1 - Combating Misinformation by Sharing the Truth: a Study on the Spread of Fact-Checks on Social Media
JF - Information Systems Frontiers
Y1 - 2022
A1 - Li,Jiexun
A1 - Chang,Xiaohui
KW - Business Analytics
AB - 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.
U2 - a
U4 - 219699023872
ID - 219699023872
ER -
TY - NEWS
T1 - Improving Student Engagement and Connection in Online Learning: Part II, Methodologies and Practices
Y1 - 2022
A1 - Chang,Xiaohui
KW - Business Analytics
AB - 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
UR - https://blogs.oregonstate.edu/inspire/2021/12/07/
U2 - d
U4 - 235527907328
ID - 235527907328
ER -
TY - JOUR
T1 - Need for Speed, but How Much Does It Cost? Unpacking the Fee-Speed Relationship in Cryptocurrency Transactions
JF - Journal of Operations Management
Y1 - 2022
A1 - Shang,Guangzhi
A1 - Ilk,Noyan
A1 - Fan,Shaokun
KW - BIS
KW - Business Analytics
U2 - a
U4 - 218914275328
ID - 218914275328
ER -
TY - CONF
T1 - Pixel Importance: The Impact of Saturation and Brightness on the Spread of Information on Social Media
T2 - Springer Cham
Y1 - 2022
A1 - Kaskela,Timothy
A1 - Zhu,Bin
A1 - Sayali,Dhamapurkar
KW - BIS
KW - Business Analytics
JA - Springer Cham
SN - 1865-1348
CP - 1
U2 - b
U4 - 233601298432
ID - 233601298432
ER -
TY - JOUR
T1 - Bias in context: Small biases in hiring evaluations have big consequences.
JF - Journal of Management
Y1 - 2021
A1 - Hardy,Jay
A1 - Tey,K. S.
A1 - Wilson,Cyrus
A1 - Martell,Richard
A1 - Olstad,Andrew
A1 - Uhlmann,Eric Luis
KW - Business Analytics
KW - Management
AB - 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’ 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,
UR - https://doi.org/10.1177/0149206320982654
U2 - a
U4 - 160503580672
ID - 160503580672
ER -
TY - JOUR
T1 - Destabilization and Consolidation: Conceptualizing, Measuring, and Validating the Dual Characteristics of Technology
JF - Research Policy
Y1 - 2021
A1 - Chen,Jiyao
A1 - Shao,Rong
A1 - Fan,Shaokun
KW - BIS
KW - Business Analytics
KW - Finance
KW - Strategy & Entrepreneurship
VL - 50
CP - 1
U2 - a
U4 - 162168494080
ID - 162168494080
ER -
TY - JOUR
T1 - Dividend or No Dividend in Delegated Blockchain Governance: A Game Theoretic Analysis
JF - Journal of Systems Science and Systems Engineering
Y1 - 2021
A1 - Pan,Dapeng
A1 - Zhao,J. Leon
A1 - Fan,Shaokun
A1 - Zhang,Ziqiong
KW - BIS
KW - Business Analytics
U2 - a
U4 - 218917623808
ID - 218917623808
ER -
TY - JOUR
T1 - Enhancing decision-making with data quality metadata
JF - Journal of Systems and Information Technology
Y1 - 2021
A1 - Shankaranarayanan,G
A1 - Zhu,Bin
KW - BIS
KW - Business Analytics
VL - 23
CP - 2
U2 - a
U4 - 167338096640
ID - 167338096640
ER -
TY - NEWS
T1 - Improving Student Engagement and Connection in Online Learning through Proactive Support
Y1 - 2021
A1 - Chang,Xiaohui
KW - Business Analytics
AB - Xiaohui Chang associate professor of Business Analytics, doesn'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.
UR - https://blogs.oregonstate.edu/inspire/2021/12/07/improving-student-engagement-and-connection-in-online-learning-through-proactive-support/
U2 - d
U4 - 233684842496
ID - 233684842496
ER -
TY - JOUR
T1 - Stability conditions of coupled autonomous vehicles formations
JF - IEEE Transactions on Control of Network Systems
Y1 - 2021
A1 - Baldivieso,Pablo
A1 - Veerman,J
KW - Business Analytics
KW - OSU-Cascades
VL - 8
CP - 1
U2 - a
U4 - 246053677056
ID - 246053677056
ER -
TY - JOUR
T1 - Stability of Transaction Fees in Bitcoin: A Supply and Demand Perspective
JF - MIS Quarterly
Y1 - 2021
A1 - Ilk,Noyan
A1 - Shang,Guangzhi
A1 - Fan,Shaokun
A1 - Zhao,J. Leon
KW - BIS
KW - Business Analytics
CY - Canyon
VL - 45
CP - 2
U2 - a
U4 - 180578840576
ID - 180578840576
ER -
TY - JOUR
T1 - Combining Textual Cues with Social Clues: Utilizing Social Features to Improve Sentiment Analysis in Social Media
JF - Decision Sciences
Y1 - 2020
A1 - Ilk,Noyan
A1 - Fan,Shaokun
KW - BIS
KW - Business Analytics
U2 - a
U4 - 183583891456
ID - 183583891456
ER -
TY - HEAR
T1 - Impact of Team Size on Technological Contributions: Unpacking Disruption and Development
Y1 - 2020
A1 - Chen,Jiyao
A1 - Shao,Rong
A1 - Fan,Shaokun
A1 - Li,Jiexun
KW - BIS
KW - Business Analytics
KW - Finance
KW - Strategy & Entrepreneurship
JA - AOM Annual Meeting
CY - Vancouver CA
U2 - c
U4 - 202782855168
ID - 202782855168
ER -
TY - JOUR
T1 - Improving Mobile Health Apps Usage: A Quantitative Study on mPower Data of Parkinson's Disease
JF - Information Technology and People
Y1 - 2020
A1 - Li,Jiexun
A1 - Chang,Xiaohui
KW - Business Analytics
AB - 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.
VL - 34
CP - 1
U2 - a
U4 - 176734351360
ID - 176734351360
ER -
TY - JOUR
T1 - Modeling and Regionalization of China's PM2.5 Using Spatial-Functional Mixture Models
JF - Journal of the American Statistical Association
Y1 - 2020
A1 - Liang,Decai
A1 - Zhang,Haozhe
A1 - Chang,Xiaohui
A1 - Huang,Hui
KW - Business Analytics
VL - 116
CP - 553
U2 - a
U4 - 176735037440
ID - 176735037440
ER -
TY - JOUR
T1 - Noise Accumulation in High Dimensional Classification and Total Signal Index
JF - Journal of Machine Learning Research
Y1 - 2020
A1 - Elman,Miriam
A1 - Minnier,Jessica
A1 - Chang,Xiaohui
A1 - Choi,Dongseok
KW - Business Analytics
AB - 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—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.
VL - 21
UR - http://jmlr.org/papers/volume21/19-117/19-117.pdf
CP - 36
U2 - a
U4 - 202754910208
ID - 202754910208
ER -
TY - JOUR
T1 - Realized Volatility Forecasting and Volatility Spillovers: Evidence from Chinese Non-Ferrous Metals Futures
JF - International Journal of Finance and Economics
Y1 - 2020
A1 - Wang,Donghua
A1 - Xin,Yang
A1 - Chang,Xiaohui
A1 - Su,Xingze
KW - Business Analytics
AB - 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.
VL - 26
CP - 2
U2 - a
U4 - 172787275776
ID - 172787275776
ER -
TY - JOUR
T1 - A text analytics framework for automated communication pattern analysis
JF - Information & Management
Y1 - 2020
A1 - Fan,Shaokun
A1 - Ilk,Noyan
KW - BIS
KW - Business Analytics
VL - 57
CP - 4
U2 - a
U4 - 180758902784
ID - 180758902784
ER -
TY - JOUR
T1 - Business Performance Prediction in Location-based Social Commerce
JF - Expert Systems with Applications
Y1 - 2019
A1 - Chang,Xiaohui
A1 - Li,Jiexun
KW - Business Analytics
AB - 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.
VL - 126
U2 - a
U4 - 141504974848
ID - 141504974848
ER -
TY - ABST
T1 - Impacts of Consensus Algorithms in Cryptocurrency: A Theoretical Analysis of PoW versus PoS in Ethereum
Y1 - 2019
A1 - Pan,Dapeng
A1 - Zhao,J. Leon
A1 - Fan,Shaokun
KW - BIS
KW - Business Analytics
CP - 1
U2 - d
U4 - 201883080704
ID - 201883080704
ER -
TY - HEAR
T1 - Knowledge Networks, Collaboration Networks, and Innovation: A Replication and Extension
Y1 - 2019
A1 - Chen,Jiyao
A1 - Shen,Jia
A1 - Fan,Shaokun
KW - BIS
KW - Business Analytics
KW - Strategy & Entrepreneurship
JA - Academy of Management Annual Meeting
CY - Boston
U2 - c
U4 - 185042847744
ID - 185042847744
ER -
TY - ABST
T1 - Location-based Data on Social Commerce Platforms can Provide Insights for Business Decisions
Y1 - 2019
A1 - Chang,Xiaohui
KW - Business Analytics
CY - Corvallis, OR
U2 - d
U4 - 188407623680
ID - 188407623680
ER -
TY - HEAR
T1 - A Process Mining Framework for Communication Pattern Analysis in Online Contact Centers
Y1 - 2019
A1 - Ilk,Noyan
A1 - Fan,Shaokun
KW - BIS
KW - Business Analytics
JA - Winter Conference On Business Analytics
CY - Salt lake city
U2 - c
U4 - 180759275520
ID - 180759275520
ER -
TY - HEAR
T1 - A Supply and Demand Model for Bitcoin’s Data Space Marketplace
Y1 - 2019
A1 - Ilk,Noyan
A1 - Shang,Guangzhi
A1 - Fan,Shaokun
KW - BIS
KW - Business Analytics
JA - Workshop on Information Technologies and Systems
CY - Munich
U2 - c
U4 - 201886902272
ID - 201886902272
ER -
TY - HEAR
T1 - Blockchain-Enabled Trust: The Case of Inter-Firm Dataflow
Y1 - 2018
A1 - Zhao,J. Leon
A1 - Fan,Shaokun
A1 - Zheng,Eric
KW - BIS
KW - Business Analytics
JA - Americas Conference on Information Systems (AMCIS)
CY - New Orleans
U2 - c
U4 - 180759222272
ID - 180759222272
ER -
TY - JOUR
T1 - Community Engagement and Online Word of Mouth: An Empirical Investigation
JF - Information & Management
Y1 - 2018
A1 - Wu,Ji
A1 - Fan,Shaokun
A1 - Zhao,J. Leon
KW - BIS
KW - Business Analytics
VL - 55
CP - 2
U2 - a
U4 - 162125578240
ID - 162125578240
ER -
TY - HEAR
T1 - Development of Context-based Indices for Measuring Dynamic and Dualistic Nature of Innovation
Y1 - 2018
A1 - Chen,Jiyao
A1 - Shao,Rong
A1 - Fan,Shaokun
KW - BIS
KW - Business Analytics
KW - Finance
KW - Strategy & Entrepreneurship
JA - Academy of Management Annual Conference
CY - Chicago, IL
U2 - c
U4 - 162437109760
ID - 162437109760
ER -
TY - HEAR
T1 - An Efficient Recommender System Using Locality Sensitive Hashing
Y1 - 2018
A1 - Zhang,Kunpeng
A1 - Fan,Shaokun
A1 - Wang,Harry
KW - BIS
KW - Business Analytics
JA - Proceedings of the 51st Hawaii International Conference on System Sciences
CY - Hawaii
U2 - c
U4 - 162460182528
ID - 162460182528
ER -
TY - JOUR
T1 - Flexible and Efficient Estimating Equations for Variogram Estimation
JF - Computational Statistics and Data Analysis
Y1 - 2018
A1 - Sun,Ying
A1 - Chang,Xiaohui
A1 - Guan,Yongtao
KW - Business Analytics
AB - 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.
VL - 122
U2 - a
U4 - 141504911360
ID - 141504911360
ER -
TY - HEAR
T1 - Investigating the Fee-Delay Relationship in Cryptocurrency Transactions: Evidence from the Bitcoin Network
Y1 - 2018
A1 - Ilk,Noyan
A1 - Fan,Shaokun
A1 - Shang,Guangzhi
KW - BIS
KW - Business Analytics
JA - Workshop on Information Technologies and Systems
CY - Santa Clara
U2 - c
U4 - 180787425280
ID - 180787425280
ER -
TY - JOUR
T1 - Making Sense of Organization Dynamics Using Text Analysis.
JF - Expert Systems with Applications
Y1 - 2018
A1 - Li,Jiexun
A1 - Wu,Zhaohui
A1 - Zhu,Bin
A1 - Xu,Kaiquan
KW - BIS
KW - Business Analytics
KW - Supply Chain
U2 - a
U4 - 152771403776
ID - 152771403776
ER -
TY - CONF
T1 - Social Media Response Based Upon Media Richness
T2 - America's Conference on Information System
Y1 - 2018
A1 - Kaskela,Timothy
A1 - Song,J
KW - Business Analytics
JA - America's Conference on Information System
CY - New Orleans, LA
U2 - b
U4 - 207630213120
ID - 207630213120
ER -
TY - CONF
T1 - Social Media Responses Based Upon Frames and Symbol Sets
T2 - 17th Annual Pre-ICIS Workshop on HCI Research in MIS
Y1 - 2018
A1 - Kaskela,Timothy
A1 - Song,J
KW - Business Analytics
JA - 17th Annual Pre-ICIS Workshop on HCI Research in MIS
CY - San Francisco, CA
U2 - b
U4 - 207630188544
ID - 207630188544
ER -
TY - JOUR
T1 - Spectra of certain large tridiagonal matrices
JF - Linear Algebra and Its Applications
Y1 - 2018
A1 - Baldivieso,Pablo
A1 - Veerman,JJ P
A1 - Hammond,David K
KW - Business Analytics
KW - OSU-Cascades
VL - 548
CP - 1
U2 - a
U4 - 177686536192
ID - 177686536192
ER -
TY - RPRT
T1 - Using a Q Matrix to Assess Students' Latent Skills in an Online Course
Y1 - 2018
A1 - Hsieh,Ping-Hung
A1 - Chang,Xiaohui
A1 - Olstad,Andrew
KW - Business Analytics
KW - Supply Chain
UR - https://ecampus.oregonstate.edu/research/publications/white-papers/
U2 - d
U4 - 162722347008
ID - 162722347008
ER -
TY - CONF
T1 - BEHAVIOR THEORY ENABLED GENDER CLASSIFICATION METHOD
T2 - the Fifteeth workshop on e-Business (WeB 2016) in Dublin
Y1 - 2017
A1 - Wang,Jing
A1 - Yan,Xiangbin
A1 - Zhu,Bin
KW - BIS
KW - Business Analytics
JA - the Fifteeth workshop on e-Business (WeB 2016) in Dublin
U2 - b
U4 - 145142386688
ID - 145142386688
ER -
TY - JOUR
T1 - Collaboration Process Pattern Approach to Improving Teamwork Performance: A Data Mining-Based Methodology
JF - INFORMS Journal on Computing
Y1 - 2017
A1 - Fan,Shaokun
A1 - Li,Xin
A1 - Zhao,J. Leon
KW - BIS
KW - Business Analytics
VL - 29
CP - 3
U2 - a
U4 - 141136185344
ID - 141136185344
ER -
TY - CONF
T1 - The Different Behaviors between Product Searchers and Website Searchers
Y1 - 2017
A1 - Zun,Kai
A1 - Zhu,Bin
A1 - Zuo,Meiyun
KW - BIS
KW - Business Analytics
U2 - b
U4 - 163038023680
ID - 163038023680
ER -
TY - CONF
T1 - Discovery of the Optimal Visualization for Representing Three Dimensions of Data Using Functional Magnetic Resonance Imaging
T2 - International Conference on Information Systems
Y1 - 2017
A1 - Bina,S
A1 - Graue,W
A1 - Jones,D
A1 - Kaskela,Timothy
A1 - Walden,E
KW - Business Analytics
JA - International Conference on Information Systems
CY - Seoul
U2 - b
U4 - 207630258176
ID - 207630258176
ER -
TY - JOUR
T1 - Enabling effective workflow model reuse: A data-centric approach
JF - Decision Support Systems
Y1 - 2017
A1 - Liu,Zhiyong
A1 - Fan,Shaokun
A1 - Wang,Harry
A1 - Zhao,J. Leon
KW - BIS
KW - Business Analytics
VL - 93
U2 - a
U4 - 141136390144
ID - 141136390144
ER -
TY - JOUR
T1 - Introduction to the special issue of ECR on E-business innovation with big data
JF - Electronic Commerce Research
Y1 - 2017
A1 - Fan,Shaokun
A1 - Xiao,JInghua
A1 - Xie,Kang
A1 - Zhao,J. Leon
KW - BIS
KW - Business Analytics
U2 - a
U4 - 141136570368
ID - 141136570368
ER -
TY - JOUR
T1 - The Lead-Lag Relationship between the Spot and Futures Markets in China
JF - Quantitative Finance
Y1 - 2017
A1 - Wang,Donghua
A1 - Tu,Jingqing
A1 - Chang,Xiaohui
A1 - Li,Saiping
KW - Business Analytics
AB - 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.
VL - 17
CP - 9
U2 - a
U4 - 127159738368
ID - 127159738368
ER -
TY - CONF
T1 - Differences between Younger and Senior Information Providers in Senior Online Communities
T2 - the Fifteeth workshop on e-Business (WeB 2016) in Dublin
Y1 - 2016
A1 - Wang,Changyu
A1 - Zhu,Bin
A1 - Zuo,Meiyun
KW - BIS
KW - Business Analytics
JA - the Fifteeth workshop on e-Business (WeB 2016) in Dublin
U2 - b
U4 - 145142321152
ID - 145142321152
ER -
TY - HEAR
T1 - Early Detection of Placement for Success in an Online Quantitative Class
Y1 - 2016
A1 - Hsieh,Ping-Hung
A1 - Chang,Xiaohui
A1 - Olstad,Andrew
KW - Business Analytics
KW - Supply Chain
JA - Joint Statistical Meetings
CY - Chicago, IL
U2 - c
U4 - 144709447680
ID - 144709447680
ER -
TY - CONF
T1 - Helping Senior Participants Acquire the Right Type of Social Support in Online Communities
T2 - The 10th China Summer Workshop on Information Management (CSWIM 2016)
Y1 - 2016
A1 - Wang,Changyu
A1 - Zhu,Bin
A1 - Zuo,Meiyun
KW - BIS
KW - Business Analytics
AB - 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’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.
JA - The 10th China Summer Workshop on Information Management (CSWIM 2016)
U2 - b
U4 - 127142539264
ID - 127142539264
ER -
TY - JOUR
T1 - Overview of business innovations and research opportunities in blockchain and introduction to the special issue
JF - Financial Innovation
Y1 - 2016
A1 - Zhao,J. Leon
A1 - Fan,Shaokun
A1 - Yan,Jiaqi
KW - BIS
KW - Business Analytics
VL - 2
U2 - a
U4 - 180758509568
ID - 180758509568
ER -
TY - JOUR
T1 - A Process Ontology Based Approach to Easing Semantic Ambiguity in Business Process Modeling
JF - Data and Knowledge Engineering
Y1 - 2016
A1 - Fan,Shaokun
A1 - Hua,Z.
A1 - Storey,V.
A1 - Zhao,J. L.
KW - BIS
KW - Business Analytics
VL - 102
U2 - a
U4 - 132759660544
ID - 132759660544
ER -
TY - JOUR
T1 - Demystifying big data analytics through the lens of marketing mix
JF - Big Data Research
Y1 - 2015
A1 - Fan,Shaokun
A1 - Lau,R.
A1 - Zhao,J. L.
KW - BIS
KW - Business Analytics
VL - 2
CP - 1
U2 - a
U4 - 132758433792
ID - 132758433792
ER -
TY - HEAR
T1 - The Design of IdeaWorks: Applying Social Learning Networks to Support Tertiary Education
Y1 - 2015
A1 - Kang,Lele
A1 - Fan,Shaokun
A1 - Zhao,J. Leon
KW - BIS
KW - Business Analytics
JA - 2015 International Conference on HCI in Business
U2 - c
U4 - 221564688384
ID - 221564688384
ER -
TY - JOUR
T1 - Disease Risk Estimation by Combining Case-Control Data with Aggregated Information on the Population at Risk
JF - Biometrics
Y1 - 2015
A1 - Chang,Xiaohui
A1 - Waagepetersen,R.
A1 - Yu,H.
A1 - Ma,X.
A1 - Holford,T. R.
A1 - Wang,R.
A1 - Guan,Y.
KW - Business Analytics
AB - 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.
VL - 71
U2 - a
U4 - 99245895680
ID - 99245895680
ER -
TY - JOUR
T1 - Dynamic relation of Chinese stock price-volume pre- and post- the Split Share Structure Reform: New evidence from a two-state Markov-switching approach
JF - China Finance Review International
Y1 - 2015
A1 - Wang,Donghua
A1 - Lei,Man
A1 - Chang,Xiaohui
KW - Business Analytics
AB - Purpose – 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 – 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 – 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 – 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.
VL - 5
CP - 4
U2 - a
U4 - 115045304320
ID - 115045304320
ER -
TY - JOUR
T1 - Harnessing Internet finance with innovative cyber credit management
JF - Financial Innovation
Y1 - 2015
A1 - Lin,Z.
A1 - Whinston,A. B.
A1 - Fan,Shaokun
KW - BIS
KW - Business Analytics
VL - 1
CP - 1
U2 - a
U4 - 132758345728
ID - 132758345728
ER -
TY - HEAR
T1 - Impact of Pharmacy Student Involvement in Medical Reconciliation on Samaritan Health Services Outpatient Clinics
Y1 - 2015
A1 - Nguyen,Thi
A1 - Fahey,Colin
A1 - Olstad,Stacey
A1 - Olstad,Andrew
KW - Business Analytics
JA - ASHP Midyear Clinical Meeting
CY - New Orleans, LA
U2 - c
U4 - 127219013632
ID - 127219013632
ER -
TY - HEAR
T1 - Involvement of Pharmacy in Admission and Discharge Medication Review to Improve Patient Outcomes in an Inpatient Setting
Y1 - 2015
A1 - Fahey,Colin
A1 - Nguyen,Thi
A1 - Olstad,Stacey
A1 - Olstad,Andrew
KW - Business Analytics
JA - ASHP Midyear Clinical Meeting
CY - New Orleans, LA
U2 - c
U4 - 127219144704
ID - 127219144704
ER -
TY - HEAR
T1 - Mining Hidden Organizational Structures from Meeting Records
Y1 - 2015
A1 - Li,Jiexun
A1 - Wu,Zhaohui
A1 - Zhu,Bin
KW - BIS
KW - Business Analytics
KW - Supply Chain
JA - INFORMS 2015
CY - Philadelphia
U2 - c
U4 - 125884504064
ID - 125884504064
ER -
TY - CONF
T1 - PREDICTING HABITUAL CONTINUING SOCIAL NETWORKING SITES USE OF THE ELDERLY
T2 - Workshop on Doing IS Research in China, The 19th Pacific Asia Conference on Information Systems (PACIS 2015)
Y1 - 2015
A1 - Chai,Wen
A1 - Zuo,Meiyun
A1 - Zhu,Bin
A1 - Tian,Xuesong
KW - BIS
KW - Business Analytics
JA - Workshop on Doing IS Research in China, The 19th Pacific Asia Conference on Information Systems (PACIS 2015)
CY - Singapore
UR - http://pacis2015.comp.nus.edu.sg/pages/workshops_cnais.html
U2 - b
U4 - 115764482048
ID - 115764482048
ER -
TY - HEAR
T1 - Sentiment Analysis in Social Media Platforms: The Contribution of Social Relationships
Y1 - 2015
A1 - Fan,Shaokun
A1 - Ilk,Noyan
A1 - Zhang,Kunpeng
KW - BIS
KW - Business Analytics
JA - International Conference on Information Systems
CY - Dallas
U2 - c
U4 - 180787286016
ID - 180787286016
ER -
TY - CONF
T1 - Weather Factors and Online Product/Service Reviews
T2 - 'Doing IS Research in China' Workshop of the Pacific Asia Conference on Information Systems (PACIS 2015)
Y1 - 2015
A1 - Feng,Jiao
A1 - Yao,Zhong
A1 - Zhu,Bin
A1 - Marshall,Byron
KW - Accounting
KW - BIS
KW - Business Analytics
JA - 'Doing IS Research in China' Workshop of the Pacific Asia Conference on Information Systems (PACIS 2015)
U2 - b
U4 - 107158784000
ID - 107158784000
ER -
TY - JOUR
T1 - Workflow-Aware Attention Tracking to Enhance Collaboration Management
JF - Information Systems Frontiers
Y1 - 2015
A1 - Fan,Shaokun
A1 - Kang,L
A1 - Zhao,J. L.
KW - BIS
KW - Business Analytics
VL - 17
CP - 6
U2 - a
U4 - 132758261760
ID - 132758261760
ER -
TY - JOUR
T1 - Business Challenges and Research Directions of Management Analytics in the Big Data Era
JF - Journal of Management Analytics
Y1 - 2014
A1 - Zhao,J. L.
A1 - Fan,Shaokun
A1 - Hu,D.
KW - BIS
KW - Business Analytics
VL - 1
CP - 3
U2 - a
U4 - 132758482944
ID - 132758482944
ER -
TY - HEAR
T1 - Collective opinion classification: A global consistency maximization approach
Y1 - 2014
A1 - Li,Jiexun
A1 - Li,Xin
A1 - Zhu,Bin
KW - BIS
KW - Business Analytics
JA - The 24th Workshop on Information Technology and Systems (WITS)
CY - Aukland, New Zealand
U2 - c
U4 - 98584274944
ID - 98584274944
ER -
TY - HEAR
T1 - Credit Risk Assessment of POS-Loans in the Big Data Era
Y1 - 2014
A1 - Bian,Yiyang
A1 - Fan,Shaokun
A1 - Ye,Ryan Liying
A1 - Zhao,J. Leon
KW - BIS
KW - Business Analytics
JA - Workshop on Internet and BigData Finance (WIBF)
CY - Hongkong, China
U2 - c
U4 - 221565675520
ID - 221565675520
ER -
TY - CONF
T1 - Ensuring Positive Impact of Data Quality Metadata: Implications for Decision Support
T2 - Twentieth Americas Conference on Information Systems (AMCIS' 2014)
Y1 - 2014
A1 - Shankar,G.
A1 - Zhu,Bin
KW - BIS
KW - Business Analytics
JA - Twentieth Americas Conference on Information Systems (AMCIS' 2014)
CY - Savannah
U2 - b
U4 - 88345614336
ID - 88345614336
ER -
TY - HEAR
T1 - Formation and effect of Social Interactions in Online Brand Community: an Empirical Investigation.
Y1 - 2014
A1 - Wu,Ji
A1 - Fan,Shaokun
A1 - Wu,Manli
A1 - Zhao,J. Leon
KW - BIS
KW - Business Analytics
JA - The Pacific Asia Conference on Information Systems (PACIS)
CY - Chengdu, China
U2 - c
U4 - 221565620224
ID - 221565620224
ER -
TY - JOUR
T1 - The Hl-index: Improvement of H-index Based on Quality of Citing Papers
JF - Akadémiai Kiadó and Springer Science+Business Media
Y1 - 2014
A1 - Zai,Li
A1 - Yan,Xiangbin
A1 - Zhu,Bin
KW - BIS
KW - Business Analytics
AB - 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’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.
VL - 98
CP - 2
U2 - a
U4 - 69565954048
ID - 69565954048
ER -
TY - HEAR
T1 - Scalable Audience Targeted Models for Brand Advertising on Social Networks
Y1 - 2014
A1 - Zhang,Kunpeng
A1 - Ouksel,Aris M.
A1 - Fan,Shaokun
A1 - Liu,Hengchang
KW - BIS
KW - Business Analytics
JA - Proceedings of the 8th ACM Conference on Recommender systems
CY - Foster City, CA, USA
U2 - c
U4 - 221565589504
ID - 221565589504
ER -
TY - JOUR
T1 - Wavelet Methods in Interpolation of High-Frequency Spatial-Temporal Pressure
JF - Spatial Statistics
Y1 - 2014
A1 - Chang,Xiaohui
A1 - Stein,Michael L.
KW - Business Analytics
AB - 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–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–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.
VL - 8
U2 - a
U4 - 99245645824
ID - 99245645824
ER -
TY - JOUR
T1 - An ACP Approach to Public Health Emergency Management: Using a Campus Outbreak of H1N1 Influenza as a Case Study
JF - IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems & Humans
Y1 - 2013
A1 - Duan,Wei
A1 - Cao,Zhidong
A1 - Wang,Youzhong
A1 - Zhu,Bin
A1 - Zeng,Daniel
A1 - Wang,Fei-Yue
A1 - Qiu,Xiaogang
A1 - Song,Hongbin
A1 - Wang,Yong
KW - BIS
KW - Business Analytics
AB - 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’ 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
VL - 43
CP - 5
U2 - a
U4 - 69564794880
ID - 69564794880
ER -
TY - CONF
T1 - A cognitive-neural approach to explaining market oscillations in a fully recurrent adaptive agent population
Y1 - 2013
A1 - Wong,Charles
A1 - Versace,Massimiliano
A1 - Zhu,Bin
KW - BIS
KW - Business Analytics
AB - 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.
UR - http://www.dmi.unict.it/ecal2013/
U2 - b
U4 - 69566212096
ID - 69566212096
ER -
TY - HEAR
T1 - Data/Knowledge Management for LIDAR Data Users/Researchers
Y1 - 2013
A1 - Zhu,Bin
A1 - Olson,Michael
KW - BIS
KW - Business Analytics
JA - NSF I/UCRC Center for e-Design Strategic Planning Meeting
CY -
U2 - c
U4 - 88240963584
ID - 88240963584
ER -
TY - JOUR
T1 - Decorrelation Property of Discrete Wavelet Transform Under Fixed-Domain Asymptotics
JF - IEEE Transactions on Information Theory
Y1 - 2013
A1 - Chang,Xiaohui
A1 - Stein,Michael L.
KW - Business Analytics
AB - 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.
VL - 59
U2 - a
U4 - 99245598720
ID - 99245598720
ER -
TY - HEAR
T1 - Ever-Changing Workarounds: A Model for Workaround Management Lifecycle in Healthcare Workflow
Y1 - 2013
A1 - Fan,Shaokun
A1 - Tong,Yu
A1 - Zhao,J. Leon
KW - BIS
KW - Business Analytics
JA - 2013 SIGBPS Workshop on Business Processes and Service
CY - Milan, Italy
U2 - c
U4 - 221565501440
ID - 221565501440
ER -
TY - ABST
T1 - Gender Classification for Product Reviewers in China: A Data-Driven Approach
Y1 - 2013
A1 - Zhu,Bin
A1 - Yan,Xiangbin
A1 - Wang,Jing
KW - BIS
KW - Business Analytics
AB - 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 “data-driven” 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.
UR - http://www.som.buffalo.edu/isinterface/wits2013/
U2 - d
U4 - 88335765504
ID - 88335765504
ER -
TY - HEAR
T1 - Mapping User requirements to Design Alternatives: The Whole Nine yards
Y1 - 2013
A1 - Zhu,Bin
A1 - Hoyle,Christopher
KW - BIS
KW - Business Analytics
JA - NSF I/UCRC Center for e-Design Strategic Planning Meeting
CY -
U2 - c
U4 - 88240386048
ID - 88240386048
ER -
TY - HEAR
T1 - Collaboration Process Patterns and Efficiency of Issue Resolution in Software Development
Y1 - 2012
A1 - Fan,Shaokun
A1 - Li,Xin
A1 - Zhao,J. Leon
KW - BIS
KW - Business Analytics
JA - 2012 International Conference on Collaboration Technologies and Systems (CTS)
CY - Denver, CO, USA
U2 - c
U4 - 221565446144
ID - 221565446144
ER -
TY - CONF
T1 - Data Quality Metadata and Decision Making
T2 - 45th Hawaii International International Conference on Systems Science (HICSS-45 2012), Proceedings,
Y1 - 2012
A1 - Shankaranarayanan,G.
A1 - Zhu,Bin
KW - BIS
KW - Business Analytics
JA - 45th Hawaii International International Conference on Systems Science (HICSS-45 2012), Proceedings,
CY - Grand Wailea, Maui, HI, USA
U2 - b
U4 - 52814555136
ID - 52814555136
ER -
TY - HEAR
T1 - Finding People Who Forward Your Messages
Y1 - 2012
A1 - Zhu,Bin
A1 - Chau,Michael
KW - BIS
KW - Business Analytics
JA - School of Mechanical, Industrial, & Manufacturing Engineering Seminar Series
CY -
U2 - c
U4 - 52770985984
ID - 52770985984
ER -
TY - HEAR
T1 - Finding People Who Forward Your Messages
Y1 - 2012
A1 - Zhu,Bin
A1 - Chau,Michael
KW - BIS
KW - Business Analytics
JA - 2012 Winter Conference on Business Intelligence
CY - Snowbird, Utah
U2 - c
U4 - 52770910208
ID - 52770910208
ER -
TY - HEAR
T1 - Finding People Who Retweet
Y1 - 2012
A1 - Zhu,Bin
KW - BIS
KW - Business Analytics
JA - 2012 INFORMS International Conference
CY - Beijing, China
U2 - c
U4 - 52771076096
ID - 52771076096
ER -
TY - JOUR
T1 - A Framework for the Transformation from Conceptual to Logical Workflow Models
JF - Decision Support Systems
Y1 - 2012
A1 - Fan,Shaokun
A1 - Zhao,J. L.
A1 - Liu,M.
A1 - Dou,W.
KW - BIS
KW - Business Analytics
VL - 55
CP - 1
U2 - a
U4 - 132759138304
ID - 132759138304
ER -
TY - CONF
T1 - Is It You or the Message: Why Do People Pass Along Micro-Blogging Messages?
T2 - The Eleventh Workshop on e-Business (WeB'12)
Y1 - 2012
A1 - Zhu,Bin
A1 - Marshall,Byron
KW - Accounting
KW - BIS
KW - Business Analytics
JA - The Eleventh Workshop on e-Business (WeB'12)
CY - Orlando, Florida
U2 - b
U4 - 107914813440
ID - 107914813440
ER -
TY - JOUR
T1 - Patterns of News Dissemination through Online News Network in China
JF - Information Systems Frontiers
Y1 - 2012
A1 - Wang,Youzhong
A1 - Zeng,Daniel
A1 - Zhu,Bin
KW - BIS
KW - Business Analytics
VL - 16
CP - 4
U2 - a
U4 - 52770017280
ID - 52770017280
ER -
TY - HEAR
T1 - Towards Collaboration Virtualization Theory
Y1 - 2012
A1 - Fan,Shaokun
A1 - Sia,Choon-Ling
A1 - Zhao,J. Leon
KW - BIS
KW - Business Analytics
JA - The Pacific Asia Conference on Information Systems (PACIS)
CY - Ho Chi Minh City, Vietnam
U2 - c
U4 - 221565396992
ID - 221565396992
ER -
TY - HEAR
T1 - Comparing Item Nonresponse and Responses Across Modes in General Population Surveys.
Y1 - 2011
A1 - Lesser,Dr. Virginia M
A1 - Olstad,Andrew
KW - Business Analytics
JA - American Association for Public Opinion Research, Phoenix, Arizona, May, 2011.
CY - Phoenix, AZ
U2 - c
U4 - 70284603392
ID - 70284603392
ER -
TY - CONF
T1 - Patterns of News Dissemination through Online News Network in China
T2 - Proceedings of the 21st Workshop on Information Technologies and Systems (WITS 2011), Shanghai, China, December 3rd, 2011
Y1 - 2011
A1 - Wang,Youzhong
A1 - Zeng,Daniel
A1 - Zhu,Bin
KW - BIS
KW - Business Analytics
JA - Proceedings of the 21st Workshop on Information Technologies and Systems (WITS 2011), Shanghai, China, December 3rd, 2011
U2 - b
U4 - 42184273921
ID - 42184273921
ER -
TY - JOUR
T1 - A Collaborative Scheduling Approach for Service-Driven Scientific Workflow Execution
JF - Journal of Computer and System Sciences
Y1 - 2010
A1 - Dou,W.
A1 - Zhao,J. L.
A1 - Fan,Shaokun
KW - BIS
KW - Business Analytics
VL - 76
CP - 6
U2 - a
U4 - 132759257088
ID - 132759257088
ER -
TY - CONF
T1 - Finding Treasures in Your Trash,
T2 - Proceedings of Joint Conference of eServices and Business Intelligence, Chengdu, China, June 4th-6th, 2010
Y1 - 2010
A1 - Zhu,Bin
A1 - Luo,Xin
A1 - Ma,James
A1 - Chau,Michael
KW - BIS
KW - Business Analytics
JA - Proceedings of Joint Conference of eServices and Business Intelligence, Chengdu, China, June 4th-6th, 2010
U2 - b
U4 - 42184540161
ID - 42184540161
ER -
TY - HEAR
T1 - Finding Treasures in Your Trash
Y1 - 2010
A1 - Zhu,Bin
A1 - Luo,X.
A1 - Ma,J.
A1 - Chau,M.
KW - BIS
KW - Business Analytics
JA - Joint Conference of eServices and Business Intelligence
CY - Chengdu, China
U2 - c
U4 - 39442378753
ID - 39442378753
ER -
TY - CONF
T1 - Understanding Awareness Diffusion at Twitter.com
T2 - Proceedings of the Sixteenth Americas Conference on Information Systems, Lima, Peru, August 12th-15th 2010
Y1 - 2010
A1 - Zhu,Bin
A1 - Chau,Michael
KW - BIS
KW - Business Analytics
JA - Proceedings of the Sixteenth Americas Conference on Information Systems, Lima, Peru, August 12th-15th 2010
U2 - b
U4 - 42184370177
ID - 42184370177
ER -
TY - HEAR
T1 - Understanding Awareness Diffusion at Twitter.com
Y1 - 2010
A1 - Zhu,Bin
A1 - Chau,M
KW - BIS
KW - Business Analytics
CY - Lima, Peru
U2 - c
U4 - 39441920001
ID - 39441920001
ER -
TY - JOUR
T1 - Visualization of network concepts: The impact of working memory capacity differences
JF - Decision Support Systems
Y1 - 2010
A1 - Zhu,Bin
A1 - Watts,S.
KW - BIS
KW - Business Analytics
VL - 21
CP - 2
U2 - a
U4 - 39437588481
ID - 39437588481
ER -
TY - JOUR
T1 - Visualizing Social Network Concepts
JF - Decision Support Systems
Y1 - 2010
A1 - Zhu,Bin
A1 - Watts,S.
A1 - Chen,H.
KW - BIS
KW - Business Analytics
VL - 49
CP - 2
U2 - a
U4 - 39437791233
ID - 39437791233
ER -
TY - CONF
T1 - Communication Clique Evolution Graph: A Tool to Monitor Conflicts in Virtual Teams
T2 - Proceedings of 8th Workshop on e-Business (WeB'09), Phoenix, AZ, USA.
Y1 - 2009
A1 - Zhu,Bin
A1 - Qin,Jialun
KW - BIS
KW - Business Analytics
JA - Proceedings of 8th Workshop on e-Business (WeB'09), Phoenix, AZ, USA.
U2 - b
U4 - 42184617985
ID - 42184617985
ER -
TY - HEAR
T1 - Communication Clique Evolution Graph: A Tool to Monitor Conflicts in Virtual Teams
Y1 - 2009
A1 - Qin,J.
A1 - Zhu,Bin
A1 - Gaynor,M.
A1 - Bradner,S.
KW - BIS
KW - Business Analytics
JA - 8th Workshop on e-Business
CY - Phoenix, AZ
U2 - c
U4 - 39442464769
ID - 39442464769
ER -
TY - HEAR
T1 - Expanding Research Using System Development as Methodology
Y1 - 2009
A1 - Zhu,Bin
KW - BIS
KW - Business Analytics
JA - Artificial Intelligence Lab, MIS department
CY - Tucson, AZ
U2 - c
U4 - 39444781057
ID - 39444781057
ER -
TY - CHAP
T1 - Information Visualization for Decision Making
Y1 - 2009
A1 - Zhu,Bin
A1 - Chen,H.
KW - BIS
KW - Business Analytics
U2 - d
U4 - 39444719617
ID - 39444719617
ER -
TY - JOUR
T1 - Transformation Framework of Conceptual to Logical Business Process Models
JF - China Journal of Information Systems
Y1 - 2009
A1 - Liu,M.
A1 - Fan,Shaokun
A1 - Zhao,J. L.
A1 - Dou,W.
KW - BIS
KW - Business Analytics
AB - (In Chinese)
VL - 3
CP - 1
U2 - a
U4 - 132759312384
ID - 132759312384
ER -
TY - HEAR
T1 - Understanding How Product Information Traverses Across Online Communities
Y1 - 2009
A1 - Zhu,Bin
A1 - Yang,C.
KW - BIS
KW - Business Analytics
JA - Third China Workshop on Information Management 2009
CY - Guangzhou, China
U2 - c
U4 - 39443169281
ID - 39443169281
ER -
TY - CONF
T1 - Understanding How Product Information Traverses Across Online Communities
T2 - Proceedings of Third China Workshop on Information Management 2009, Guangzhou, China
Y1 - 2009
A1 - Zhu,Bin
A1 - Yang,Chris
KW - BIS
KW - Business Analytics
JA - Proceedings of Third China Workshop on Information Management 2009, Guangzhou, China
U2 - b
U4 - 42184730625
ID - 42184730625
ER -
TY - HEAR
T1 - Visualizing Data Quality Metadata for Decision Support: A Prototype and Evaluation
Y1 - 2009
A1 - Zhu,Bin
A1 - Shankaranarayanan,G.
A1 - Cai,Y.
KW - BIS
KW - Business Analytics
JA - Fifteenth Americas Conference on Information Systems
CY - San Francisco, CA
U2 - c
U4 - 39442620417
ID - 39442620417
ER -
TY - CONF
T1 - Visualizing Data Quality Metadata for Decision Support: A Prototype and Evaluation
T2 - Proceedings of the Fifteenth Americas Conference on Information Systems, San Francisco, California
Y1 - 2009
A1 - Shankaranarayanan,G.
A1 - Zhu,Bin
KW - BIS
KW - Business Analytics
JA - Proceedings of the Fifteenth Americas Conference on Information Systems, San Francisco, California
U2 - b
U4 - 42184697857
ID - 42184697857
ER -
TY - JOUR
T1 - CommunicationGarden System: Visualizing a Computer Mediated Communication System to Facilitate Knowledge Management
JF - Decision Support Systems
Y1 - 2008
A1 - Zhu,Bin
A1 - Chen,H.
KW - BIS
KW - Business Analytics
VL - 45
CP - 4
U2 - a
U4 - 39437830145
ID - 39437830145
ER -
TY - JOUR
T1 - Complex Problem Solving based on Complex Problem Definition Model
JF - Application Research of Computers
Y1 - 2008
A1 - Fan,Shaokun
A1 - Wanchun,D.
KW - BIS
KW - Business Analytics
AB - (In Chinese)
VL - 25
CP - 3
U2 - a
U4 - 132759437312
ID - 132759437312
ER -
TY - JOUR
T1 - A context- and role-driven scientific workflow development pattern
JF - Concurrency and Computation: Practice and Experience
Y1 - 2008
A1 - Wanchun,D.
A1 - Chen,J.
A1 - Fan,Shaokun
A1 - Cheung,S. C.
KW - BIS
KW - Business Analytics
VL - 20
CP - 15
U2 - a
U4 - 132759416832
ID - 132759416832
ER -
TY - JOUR
T1 - Context-aware Resource Access Control in Scientific Workflows
JF - Computer Engineering and Design
Y1 - 2008
A1 - Fan,Shaokun
A1 - Wanchun,D.
A1 - Xiping,L.
KW - BIS
KW - Business Analytics
AB - (In Chinese)
VL - 29
CP - 2
U2 - a
U4 - 132759474176
ID - 132759474176
ER -
TY - HEAR
T1 - Decision support with data quality metadata
Y1 - 2008
A1 - Shankaranarayanan,G.
A1 - Zhu,Bin
A1 - Cai,Y.
KW - BIS
KW - Business Analytics
JA - International Conference on Information Quality 2008
CY - Boston, MA
U2 - c
U4 - 39444242433
ID - 39444242433
ER -
TY - HEAR
T1 - Monitoring Conflicts in Virtual Teams: A Social Network Approach
Y1 - 2008
A1 - Zhu,Bin
A1 - Gaynor,M
KW - BIS
KW - Business Analytics
JA - Second China Summer Workshop on Information Management
CY - Kunming, China
U2 - c
U4 - 39443273729
ID - 39443273729
ER -
TY - HEAR
T1 - Monitoring Team Conflicts through the Visualization of Social Networks
Y1 - 2008
A1 - Zhu,Bin
A1 - Gaynor,M
A1 - Bradner,S.
KW - BIS
KW - Business Analytics
JA - 7th Workshop on e-Business
CY - Paris, France
U2 - c
U4 - 39443214337
ID - 39443214337
ER -
TY - JOUR
T1 - A Workflow Engine-Driven SOA-Based Cooperative Computing Paradigm in Grid Environments
JF - International Journal of High Performance Computing Applications
Y1 - 2008
A1 - Wanchun,D.
A1 - Chen,J.
A1 - Liu,J
A1 - Cheung,S. C.
A1 - Chen,G.
A1 - Fan,Shaokun
KW - BIS
KW - Business Analytics
VL - 22
CP - 3
U2 - a
U4 - 132759375872
ID - 132759375872
ER -
TY - JOUR
T1 - On Design, Verification, and Dynamic Modification of the Problem-Based Scientific Workflow Model
JF - Simulation Modeling Practice and Theory
Y1 - 2007
A1 - Liu,X.
A1 - Wanchun,D.
A1 - Chen,J.
A1 - Fan,Shaokun
A1 - Cheung,S. C.
A1 - Cai,S.
KW - BIS
KW - Business Analytics
VL - 15
CP - 9
U2 - a
U4 - 132759525376
ID - 132759525376
ER -
TY - JOUR
T1 - A Fuzzy Directed Graph-based QoS Model for Service Composition
JF - Wuhan University Journal of Natural Sciences
Y1 - 2007
A1 - Sanjun,G.
A1 - Wanchun,D.
A1 - Fan,Shaokun
KW - BIS
KW - Business Analytics
VL - 12
CP - 5
U2 - a
U4 - 132759564288
ID - 132759564288
ER -
TY - HEAR
T1 - Integrating Data Quality Data into Decision-Making Process: an Information Visualization Approach
Y1 - 2007
A1 - Zhu,Bin
A1 - Shankaranarayanan,G.
A1 - Cai,Y.
KW - BIS
KW - Business Analytics
JA - HCI International 2007
CY - Beijing, China
U2 - c
U4 - 39444291585
ID - 39444291585
ER -
TY - HEAR
T1 - Management Information Systems Research is USA
Y1 - 2006
A1 - Zhu,Bin
KW - BIS
KW - Business Analytics
JA - Chengdu University of Information Technology
CY - Chengdu, China
U2 - c
U4 - 39444944897
ID - 39444944897
ER -
TY - JOUR
T1 - Information Visualization
JF - Annual Review of Information Science and Technology
Y1 - 2005
A1 - Zhu,Bin
A1 - Chen,H.
KW - BIS
KW - Business Analytics
VL - 39
U2 - a
U4 - 39437971457
ID - 39437971457
ER -
TY - JOUR
T1 - NewsMap: A Knowledge Map for Online News
JF - Decision Support Systems
Y1 - 2005
A1 - Ong,T-H.
A1 - Chen,H.
A1 - Sung,WK
A1 - Zhu,Bin
KW - BIS
KW - Business Analytics
VL - 39
CP - 4
U2 - a
U4 - 39437928449
ID - 39437928449
ER -
TY - HEAR
T1 - Research in Management Information Systems
Y1 - 2005
A1 - Zhu,Bin
KW - BIS
KW - Business Analytics
CY - Nanchang, Jiangxi, P.R. China
U2 - c
U4 - 39456548865
ID - 39456548865
ER -
TY - JOUR
T1 - Using 3D Interfaces to Facilitate the Spatial Knowledge Retrieval: A Geo-referenced Knowledge Repository System
JF - Decision Support Systems
Y1 - 2005
A1 - Zhu,Bin
A1 - Chen,H.
KW - BIS
KW - Business Analytics
VL - 40
CP - 2
U2 - a
U4 - 39437864961
ID - 39437864961
ER -
TY - HEAR
T1 - The Design for an Effective Knowledge Repository System
Y1 - 2003
A1 - Zhu,Bin
A1 - Iyer,B.
KW - BIS
KW - Business Analytics
JA - Minnesota Symposium on Knowledge Management
CY - Minneapolis, MN
U2 - c
U4 - 39456614401
ID - 39456614401
ER -
TY - JOUR
T1 - HelpfulMed: Intelligent Searching for Medical Information over the Internet
JF - Journal of the Association for Information Science and Technology
Y1 - 2003
A1 - Chen,H.
A1 - Lally,A.M.
A1 - Zhu,Bin
A1 - Chau,M.
KW - BIS
KW - Business Analytics
VL - 54
CP - 7
U2 - a
U4 - 39438098433
ID - 39438098433
ER -
TY - HEAR
T1 - MedTextus: an intelligent web-based medical meta-search system
Y1 - 2002
A1 - Zhu,Bin
A1 - Leory,G.
A1 - Chen,H.
A1 - Chen,Y.
KW - BIS
KW - Business Analytics
JA - 2nd ACM/IEEE-CS Joint Conference on Digital libraries
CY - Portland, OR
U2 - c
U4 - 39444371457
ID - 39444371457
ER -
TY - HEAR
T1 - Visualizing a computer mediated communication (CMC) process to facilitate knowledge management
Y1 - 2002
A1 - Zhu,Bin
A1 - Chen,H.
KW - BIS
KW - Business Analytics
JA - Conference on Human Factors in Computing Systems
CY - Minneapolis, MN
U2 - c
U4 - 39444410369
ID - 39444410369
ER -
TY - HEAR
T1 - Visualizing Computer-Mediated Communication Process
Y1 - 2002
A1 - Zhu,Bin
KW - BIS
KW - Business Analytics
U2 - c
U4 - 39459280897
ID - 39459280897
ER -
TY - HEAR
T1 - Visualizing Computer-Mediated Communication Process
Y1 - 2002
A1 - Zhu,Bin
KW - BIS
KW - Business Analytics
U2 - c
U4 - 39459266561
ID - 39459266561
ER -
TY - HEAR
T1 - Social Visualization for Computer-Mediated Communication: A Knowledge Management Perspective
Y1 - 2001
A1 - Zhu,Bin
A1 - Chen,H.
KW - BIS
KW - Business Analytics
JA - Eleventh Workshop on Information Technologies and Systems
U2 - c
U4 - 39444449281
ID - 39444449281
ER -
TY - HEAR
T1 - Visualizing Computer-Mediated Communication Process
Y1 - 2001
A1 - Zhu,Bin
KW - BIS
KW - Business Analytics
CY - Rochester, NY
U2 - c
U4 - 39459442689
ID - 39459442689
ER -
TY - HEAR
T1 - Visualizing Computer-Mediated Communication Process
Y1 - 2001
A1 - Zhu,Bin
KW - BIS
KW - Business Analytics
CY - Colorado Springs, CO
U2 - c
U4 - 39459450881
ID - 39459450881
ER -
TY - HEAR
T1 - Visualizing Computer-Mediated Communication Process
Y1 - 2001
A1 - Zhu,Bin
KW - BIS
KW - Business Analytics
CY - Bloomington, IN
U2 - c
U4 - 39459424257
ID - 39459424257
ER -
TY - JOUR
T1 - Creating a Large-Scale Content-Based Air Photo Image Digital Library
JF - IEEE Transactions on Image Processing
Y1 - 2000
A1 - Zhu,Bin
A1 - Ramsey,M.
A1 - Chen,H.
KW - BIS
KW - Business Analytics
VL - 9
CP - 1
U2 - a
U4 - 39438198785
ID - 39438198785
ER -
TY - JOUR
T1 - Validating a Geographical Image Retrieval System
JF - Journal of the Association for Information Science and Technology
Y1 - 2000
A1 - Zhu,Bin
A1 - Chen,H.
KW - BIS
KW - Business Analytics
VL - 51
CP - 7
U2 - a
U4 - 39438256129
ID - 39438256129
ER -
TY - JOUR
T1 - A Collection of Visual Thesauri for Browsing Large Collections of Geographic Images
JF - Journal of the Association for Information Science and Technology
Y1 - 1999
A1 - Ramsey,M.
A1 - Chen,H.
A1 - Zhu,Bin
KW - BIS
KW - Business Analytics
VL - 50
CP - 9
U2 - a
U4 - 39438444545
ID - 39438444545
ER -
TY - HEAR
T1 - Creating a Large Scale Digital Library for Geo-Referenced Information
Y1 - 1999
A1 - Zhu,Bin
A1 - Ramsey,M
A1 - Chen,H.
A1 - Hauck,R.V.
A1 - Ng,T.D.
A1 - Schatz,B.
KW - BIS
KW - Business Analytics
JA - Digital Library‘99, the 4th ACM Conference on Digital Libraries
U2 - c
U4 - 39444551681
ID - 39444551681
ER -
TY - HEAR
T1 - Support Concept-Based Multimedia Information Retrieval: A Knowledge Management Approach
Y1 - 1999
A1 - Zhu,Bin
A1 - Ramsey,M.
A1 - Chen,H.
A1 - Hauck,R.V.
A1 - Ng,T.D.
A1 - Schatz,B.
KW - BIS
KW - Business Analytics
JA - ICIS’99, 20th Annual International Conference on Information Systems
U2 - c
U4 - 39444617217
ID - 39444617217
ER -
TY - JOUR
T1 - Bayesian Estimation of a Finite Population Total using Auxiliary Information in the Presence of Nonresponse
JF - Journal of the American Statistical Association
Y1 - 1983
A1 - Smouse,Evan
KW - BIS
KW - Business Analytics
VL - 77
CP - 377
U2 - a
U4 - 58073522176
ID - 58073522176
ER -
TY - JOUR
T1 - Estimating proportionate changes in rates
JF - American Journal of Epidemiology
Y1 - 1983
A1 - Smouse,Evan
KW - BIS
KW - Business Analytics
VL - 117
U2 - a
U4 - 58094718976
ID - 58094718976
ER -
TY - JOUR
T1 - Nonparametric Bayesian Inference for Dichotomous Response Models
JF - Communications in Statistics - Theory & Methods
Y1 - 1983
A1 - Smouse,Evan
KW - BIS
KW - Business Analytics
VL - 12
CP - 24
U2 - a
U4 - 58073720832
ID - 58073720832
ER -
TY - JOUR
T1 - Statistical Concepts and Proper Use
JF - Archives of Pediatrics and Adolescent Medicine
Y1 - 1983
A1 - Smouse,Evan
KW - BIS
KW - Business Analytics
VL - 137
CP - 5
U2 - a
U4 - 58094786560
ID - 58094786560
ER -
TY - JOUR
T1 - Additive Dynamic Models for Correcting Numerical Model Outputs
JF - Computational Statistics and Data Analysis
Y1 - 0
A1 - Chang,Xiaohui
A1 - Chen,Yewen
A1 - Huang,Hui
A1 - Luo,Fangzhi
KW - Business Analytics
AB -
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’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.
U2 - a
U4 - 236109015040
ID - 236109015040
ER -
TY - JOUR
T1 - #SocialMediaWellness: Exploring a Research Agenda for Healthy Social Media Consumption
JF - Journal of Consumer Behaviour
Y1 - 0
A1 - Mertz,Breanne
A1 - Hass,Ashley
A1 - Anderson,Kelley Cours
A1 - Kaskela,Timothy
A1 - Zmich,Louis J.
KW - Business Analytics
U2 - a
U4 - 233601380352
ID - 233601380352
ER -
TY - JOUR
T1 - Special Purpose Mental Faculties Enable People to Effectively Answer Difficult Questions Using 3D Surface Graphs
JF - Decision Support Systems
Y1 - 0
A1 - Bina,Saman
A1 - Kaskela,Timothy
A1 - Jones,Donald
A1 - Walden,Eric
A1 - Graue,William
KW - Business Analytics
U2 - a
U4 - 217992939520
ID - 217992939520
ER -