Selective SDS Faculty Research

 

Articles


2021

 

Moon, S., Kim, M-Y., & Iacobucci, D. (2021). Content analysis of fake consumer reviews by survey-based text categorization. International Journal of Research in Marketing, 38, forthcoming. https://doi.org/10.1016/j.ijresmar.2020.08.001

Song, J., & Li, B. (2021) Nonlinear and additive principal component analysis for functional data. Journal of Multivariate Analysis, 181. https://doi.org/10.1016/j.jmva.2020.104675


2020

 

Paul, R. (2020) Progression of COVID-19 From Urban to Rural Areas in the United States: A Spatiotemporal Analysis of Prevalence Rates. The Journal of Rural Health. 

Windett, J. (2020). Amy Coney Barrett is conservative. New data shows us how conservative. The Washington Post. www.washingtonpost.com/politics/2020/10/22/amy-coney-barrett-is-one-most-conservative-appeals-court-justices-40-years-our-new-study-finds/

Chen, V. Z., Montano-Campos, F., & Zadrozny, W. (2020). Causal knowledge extraction from scholarly papers in social sciences. arXiv preprint arXiv:2006.08904. https://arxiv.org/abs/2006.08904

Dash, A., Zhang, D., & Zhou, L. (2020). P2R2: An LCR-based product-feature oriented approach to personalized ranking of online consumer reviews. International Journal of Electronic Commerce

Diaz-Garelli, F., Strowd, R., Lawson, V. L., Mayorga, M. E., Wells, B. J., Lycan, T. W., Topaloglu, U. (2020) Workflow differences affect data accuracy in oncologic EHRs: A first step toward detangling the diagnosis data babel. JCO Clinical Cancer Informatics, 4, 529-538. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7331128

Dorr, B., Bhatia, A., Dalton, A., Mather, B., Hebenstreit, B., Santhanam, S., Cheng, Z., Shaikh, S., Zemel, A., & Strzalkowski, T. (2020). Detecting asks in social engineering attacks: Impact of linguistic and structural knowledge. In Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI-20). https://arxiv.org/abs/2002.10931

Gong, Z., Cai, T., Thill, J.-C., Hale, S., Graham, M. (2020). Measuring relative opinion from location-based social media: A case study of the 2016 U.S. presidential election. PLoS ONE, 15(5). https://doi.org/10.1371/journal.pone.0233660

Hashemitaheri, M., Mekarthy, S. M. R., Cherukuri, H. (2020) Prediction of specific cutting forces and maximum tool temperatures in orthogonal machining by Support Vector and Gaussian Process Regression Methods. Procedia Manufacturing, 48, 1000-10008. https://doi.org/10.1016/j.promfg.2020.05.139

Hong, S., Jiang, J., Jiang, X. & Xiao, Z. (2020). Unifying inference for semiparametric regression. The Econometrics Journal, to appear.

Hu, Y., Wang, K., Chen, M., & Hui, S. (2020). Rational herding among retail shoppers: The case of television shopping network. Customer Needs and Solutions, forthcoming. https://www.springerprofessional.de/en/herding-among-retail-shoppers-the-case-of-television-shopping-ne/18328730

Li, Y., Song, L. & Fan, W. (2020) Day-of-week variations and the temporal instability of factors influencing pedestrian injury severity in pedestrian-vehicle crashes: A random parameters logit approach with heterogeneity in means and variances. Analytic Methods in Accident Research, 29. https://doi.org/10.1016/j.amar.2020.100152

Liu, A. X., Li, Y., & Xu, S. X. (2020). Quantifying the unknown: Inferred reviewer personality and review helpfulness. MIS Quarterly, Forthcoming.

Liu, P. & Fan, W. (2020) Exploring injury severity in head-on crashes using latent class clustering analysis and mixed logit model: A case study of north carolina, Accident Analysis and Prevention, 135. https://doi.org/10.1016/j.aap.2019.105388

Radford, B. J. (2020) Seeing the forest and the trees: Detection and cross-document coreference resolution of militarized interstate disputes. Proceedings of the Workshop on Automated Extraction of Socio-political Events. https://arxiv.org/abs/2005.02966

Rahman, M., Thill, J-C., Paul, K. C. (2020) COVID-19 pandemic severity, lockdown regimes, and people’s mobility: Early evidence from 88 countries. Sustainability, 12(21), 9101. https://doi.org/10.3390/su12219101

Safarnejad, L., Xu, Q., Ge, Y., Krishnan, S., Bagarvathi, A., & Chen, S. (2020) Contrasting real and misinformation dissemination network structures on social media during the 2016 Zika epidemic. American Journal of Public Health, 110, S340-347s. https://doi.org/10.2105/AJPH.2020.305854

Santhanam, S., Karduni, A., & Shaikh, S. (2020). Studying the effects of cognitive biases in evaluation of conversational agents. In Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems (CHI '20). https://arxiv.org/abs/2002.07927

Silver, R. A., Subramaniam, C., Stylianou, A. C. (2020) The impact of portal satisfaction on portal use and health seeking behavior: A structural equation analysis. Journal of Medical Internet Research 22(3). https://www.jmir.org/2020/3/e16260/

Tang, W., & Yang, J. (2020) Agent-based land change modeling of a large watershed: Space-time locations of critical threshold. Journal of Artificial Societies and Social Simulation, 23(1), 15. http://jasss.soc.surrey.ac.uk/23/1/15.html

Xie, W., Ming, C., & Zhu, H. (2020) How to enhance online hotel ad effectiveness based on real-world data: Mobile eye-tracking and machine learning tell. The best paper award in Market Research track of 2020 AMA Winter Conference.

You, H., Guo, J., & Jiang, J., (2020). Inference for the ruin probability in the classical risk model. Computational Statistics and Data Analysis, 144, 106890. https://doi.org/10.1016/j.csda.2019.106890

Zhang, K., McLeod, S., Lee, M., & Xiao, J. (2020). Continuous reinforcement learning to adapt multi-objective optimization online for robot motion. International Journal of Advanced Robotic Systems, 17(2). https://doi.org/10.1177/1729881420911491


2019

 

Bagavathi, A., Bashiri, P., Reid, S., Phillips, M. & Krishnan, S. (2019). Examining untampered social media: Analyzing cascades of polarized conversations. ASONAM IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 625–632. https://doi.org/10.1145/3341161.3343695

Cherukuri, H., Perez-Bernabeu, E., Selles, M., & Schmitz, T. (2019). Machining Chatter Prediction Using a Data Learning Model. Journal of Manufacturing and Materials Processing, 3(2), 45. MDPI AG. Retrieved from http://dx.doi.org/10.3390/jmmp3020045

Diaz-Garelli, J.-F., Bernstam, E. V., Lee, M., Hwang, K. O., Rahbar, M. H., & Johnson, T. R. (2019). DataGauge: A practical process for systematically designing and implementing quality assessments of repurposed clinical data. Egems (generating Evidence & Methods to Improve Patient Outcomes), 7(1), 32. http://doi.org/10.5334/egems.286

Fowler, S., Stylianou, A. C., Zhang, D., Reid, S. E., & Mousavi, R. (2019). Predicting violent crime with gang social media postings. 2019 International Conference on Information Systems, Munich, Germany. https://aisel.aisnet.org/icis2019/data_science/data_science/1/

Grandinetti, J. J. (2019). A question of time: HQ trivia and mobile streaming temporality. M/C Journal, 22(6). https://doi.org/10.5204/mcj.1601

Grandinetti, J. J. (2019). Welcome to a new generation of entertainment: Amazon Web Services and the normalization of big data analytics and RFID tracking. Surveillance and Society, 17(1/2), 169-175. https://ojs.library.queensu.ca/index.php/surveillance-and-society/article/view/12919

Guo, X. (2019) Skill-biased technical change again? Estimating the effect of TaskRabbit on local employment in the housekeeping industry. International Conference on Information Systems Proceedings 2019. http://eprints.lse.ac.uk/102955/

Guo, X., Gong, J., Pang, M. S. (2019) Creation or destruction? STEM OPT extension and employment of information technology professionals. International Conference on Information Systems Proceedings 2019. https://aisel.aisnet.org/icis2019/economics_is/economics_is/25/

Hague, D. (2019). Benefits, pitfalls, and potential bias in health care AI. North Carolina Medical Journal, 80(4), 219-223. https://doi.org/10.18043/ncm.80.4.219

Kumar, R. L., & Park, S. (2019). A portfolio approach to supply chain risk management. Decision Sciences, 50(2), 210-244. https://doi.org/10.1111/deci.12332

Lai, J., Zhang, D., Wang, S., Kilic, D., & Zhou, L., (2019), ThumbStroke: A virtual keyboard in support of sight-free and one-handed text entry on touch-screen mobile devices. ACM Transactions on Management Information Systems, 10(3), 1-19. https://dl.acm.org/doi/10.1145/3343858

Moon, S., Kim, M.-Y., & Bergey, P. K. (2019) Estimating deception in consumer reviews based on extreme terms: Comparison analysis of open vs. closed hotel reservation platforms. Journal of Business Research, 102, 83-96. https://doi.org/10.1016/j.jbusres.2019.05.016

Pinyoanuntapong, P., Lee, M., & Wang, P. (2019) Distributed multi-hop traffic engineering via stochastic policy gradient reinforcement learning. IEEE Global Communications Conference (GLOBECOM), 1-6. https://doi.org/10.1109/GLOBECOM38437.2019.9013134

Radford, B. (2019). Automated dictionary generation for political eventcoding. Political Science Research and Methods, 9(1), 157-171. https://doi.org/10.1017/psrm.2019.1

Shalaby, W., Zadrozny, W., & Jin, H. (2019) Beyond word embeddings: Learning entity and concept representations from large scale knowledge bases. Information Retrieval Journal, 22(6), 525-542. https://arxiv.org/abs/1801.00388

Shalaby, W., & Zadrozny, W. (2019) Patent retrieval: A literature review. Knowledge and Information Systems, 61, 631-660. https://doi.org/10.1007/s10115-018-1322-7

Zhang, Y., Zhou, Y., Zhang, D., Song, W. (2019). Improving stroke risk detection using a hybrid feature selection method. Journal of Medical Internet Research, 21(4). https://doi.org/10.2196/12437


2018

 

Liu, A. X., Steenkamp, J.-B. E. M., & Zhang, J. (2018). Agglomeration as a driver of the volume of electronic word of mouth in the restaurant industry. Journal of Marketing Research, 55(4), 507–523. https://doi.org/10.1509/jmr.16.0182

Park, A., Conway, M., & Chen. A.T. (2018) Examining thematic similarity, difference, and membership in three online mental health communities from Reddit: A text mining and visualization approach. Computers in Human Behavior, 78, 98–112. https://pubmed.ncbi.nlm.nih.gov/29456286/

Tang, W., Zheng, M., Zhao, X., Shi, J., Yang, J., and Trettin, C.C., (2018) Big geospatial data analytics for global mangrove biomass and carbon estimation. Sustainability, 10(2), 472. https://www.mdpi.com/2071-1050/10/2/472

Tonidandel, S., King, E. B., & Cortina, J. M. (2018). Big data methods: Leveraging modern data analytic techniques to build organizational science. Organizational Research Methods, 21, 525-547. https://doi.org/10.1177/1094428116677299


2017

 

Li, B., & Song, J. (2017), Nonlinear sufficient dimension reduction for functional data. The Annals of Statistics, 45,1059-1095. https://doi.org/10.1214/16-AOS1475

Park, A., & Conway, M. (2017). Longitudinal changes in psychological states in online health community members: Understanding the long-term effects of participating in an online depression community. Journal of medical Internet research, 19(3), e71. https://doi.org/10.2196/jmir.6826

Temizkan, O., Park, S., & Saydam, C. (2017) Software diversity for improved network security: Optimal distribution of software-based shared vulnerabilities. Information Systems Research, 28(4), 828-849. https://pubsonline.informs.org/doi/10.1287/isre.2017.0722

Von Briesen, E., Bacaksizlar, N. G., & Hadzikadic, M. (2017) Modeling genocide at the system and agent levels. Journal of Policy and Complex Systems, 3(2). http://www.ipsonet.org/policy-studies-curriculum-and-courses/modeling-genocide-at-the-system-and-agent-levels/


2016

 

Tonidandel, S., King, E. B., & Cortina, J. (2016) Big data at work: The data science revolution and organizational psychology. Taylor Francis. https://books.google.com

Zhou, L., Kang, Y., Zhang, D., & Lai, J. (2016) Harmonized authentication based on thumb stroke dynamics on touch-screen mobile phones. Decision Support Systems, 92, 14-24. https://doi.org/10.1016/j.dss.2016.09.007


2014

 

Su, Z., & Hadzikadic, M. (2014) Applications of complex adaptive systems in portfolio management. Proceedings of the 5th World Congress on Social Simulation, SaoPaolo, Brazil, November 4-7. https://www.researchgate.net