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S. Fan, Lau, R., and Zhao, J. L., Demystifying big data analytics through the lens of marketing mix, Big Data Research, vol. 2, no. 1, 2015.
P. Frischmann, Discussant - – Trade-Offs Between Tax and Financial Reporting Benefits: Evidence from Taxable Acquisitions, American Accounting Association Annual Meeting. Chicago, Ill, 2015.
P. Frischmann and Frees, E. W., Demand for Services: Determinants of Tax Preparation Fees, Journal of the American Taxation Association, vol. Supplement, no. May, 1999, pp. 1-23, 1999.
P. James Frischmann, Discussant - Earnings Management Disclosures, Western Region - American Accounting Association. Portland, Oregon, 2010.
P. Frischmann, Discussant's Comments: Does Tax Management Play a Role in Sustaining a Competitive Advantage?, University of Muenster: 6th European Institute for Advanced Studies in Management Conference on Current Research in Taxation. Bonn, Germany, 2016.
P. James Frischmann, Discussant - Disclosure Decisions Regarding Permanently Reinvested Foreign Earnings, Western Regional Meeting - AAA. Orange County, 2011.
P. James Frischmann, Discussant - A Constitutional Right to a State Tax Deduction, Western Regional Meeting - AAA. Orange County, 2011.
P. Frischmann, Discussant - The relevance of tax information in other comprehensive income, American Accounting Association Annual Meeting. Atlanta, 2014.
M. Hacker, Designing and Installing Performance Measurement Systems, Oregon Quality Award Breakfast Series. Portland, OR, 1998.
M. Hacker, Designing Performance Measurement Systems for Assessment and Evaluation, National Department of Transportation Conference. Portland, OR, 1999.
M. Hacker, Deploying Business Strategies into the Organization, Hewlett-Packard. Corvallis, OR, 2000.
N. Handly, Li, J., Thompson, D. A., Venkat, A., and Chuirazzi, D. M., Derivation of hospital admission prediction models based on coded chief complaint, demographic, patient acuity and emergency department (ED) operational data available at ED triage, 2011 Society for Academic Emergency Medicine (SAEM) Annual Meeting. Boston, MA, USA, 2011.
J. Hardy, Developing a Dynamic Computational Theory of Unmet Expectations in the Development of Turnover Decisions, Workshop on Computational Modeling. Athens, OH, 2016.
J. Hardy and Sloan, M., Do applicants really quit longer assessments?, Society for Industrial & Organizational Psychology’s 32st Annual Conference. Orlando, FL, 2017.
J. Hardy, Dynamics in the relationship between self-efficacy and performance following failure, Personality and Individual Differences, vol. 71, pp. 151-158, 2014.
S. Howes, Mills, M. J., and Huffman, A. H., Development and initial validation of the Multidimensional Work Ethic Profile short form, 18th Congress of the European Association of Work and Organizational Psychology. Dublin, Ireland, 2017.
P. - H. Hsieh, A Data-Analytic Method for Forecasting Next Record Catastrophe Loss, Journal of Risk and Insurance, vol. 71, no. 2, pp. 309-322, 2004.
P. - H. Hsieh, Yang, S. - J., and Yang, D. - L., Decision Support for Unrelated Parallel-Machine Scheduling with Discrete Controllable Processing Times, Applied Soft Computing, vol. 30, pp. 475-483, 2015.
P. - H. Hsieh, Discrepancy Assessment of Model Fitness Against Nonparametric Alternatives, National Joint Statistical Meetings. Atlanta, Georgia, 2001.
A. H. Huffman, Craddock, E. B., Howes, S., and Klinefelter, Z., Decision-making and exchange processes of dual-military couples: A review and suggested strategies for navigating multiple roles, Military Psychology, vol. 29, no. 1, pp. 11-26, 2017.
M. G. Hughes, Griffith, J. A., Zeni, T. A., Arsenault, M. L., Cooper, O. D., Johnson, G. J., Hardy, J., Connelly, S., and Mumford, M. D., Discrediting in a message board forum: The effects of social support and attacks on expertise and trustworthiness, Journal of Computer-Mediated Communication, vol. 19, no. 3, pp. 325-341, 2014.
A. T. Jackson, Howes, S., Kriegh, J. L., Kausel, E. E., and Campos, N. R., Does goal orientation an outcome certainty predict escalation of commitment?, 18th Congress of the European Association of Work and Organizational Psychology. Dublin, Ireland, 2017.
L. Jiang, Yang, C. C., and Li, J., Discovering Consumer Health Expressions from Consumer-Contributed Content, 2013 International Conference on Social Computing, Behavioral-Cultural Modeling, & Prediction (SBP 2013). Washington DC, USA, 2013.
K. Johnson, Yoo, J., Kim, M., and Lennon, S., Dress and human behavior: What we know and how we know it, International Textiles and Apparel Association Annual Meeting. Portland, Oregon, 2004.
J. Kalodimos, Gilbert, T., Hrdlicka, C., and Siegel, S., Daily Data is Bad for Beta: Opacity and Frequency-Dependent Betas, The Review of Asset Pricing Studies, 2014.
J. Kalodimos, Disruption in Health Care Markets. 2017.
E. E. Kausel, Howes, S., Jackson, A. T., and Leiva, P. I., Does state narcissism predict advice-taking behavior?, Annual meeting of the Society for Industrial and Organizational Psychology. Philadelphia, PA, 2015.
Y. Kim and Choi, T. Y., Deep, Sticky, Transient, and Gracious: An Expanded Buyer-Supplier Relationship Typology, Journal of Supply Chain Management, vol. 51, no. 3, pp. 61-86, 2015.
Y. Kim, Dependence Asymmetry as a Moderator in the Curvilinear Relation between Tie Strength and Value Creation in Buyer-Supplier Relations, Annual Meeting of the Decision Sciences Institute. San Francisco, CA, 2012.
S. Kim, Cha, S., and Cho, J., Does Frequent Inter-Unit Contact Leads to Higher Global Identification? The Contextualizing Role of Subsidiary Managers, Western Academy of Management. Sonoma, CA, 2019.
S. Kim, Demand Generation in the IT Channel, Global Technology Distribution Council CEO Summit. San Francisco, CA, 2004.
N. King and Jessen, P. Wegener, Data sharing in smart metering systems - consumer privacy concerns, Workshop: The Impact of Prosumers in a Smart Grid Energy Network. Aarhus, Denmark, 2013.
J. King and Bella, D., The Dark Side of Organization, 6th International Conference on Ethics Across the Curriculum. OSU, Corvallis, Oregon, 2004.
N. King and Forder, J., Data Analytics and Consumer Profiling: Finding Appropriate Privacy Principles for Discovered Data, Computer Law and Security Review, vol. 32, pp. 696-714, 2016.