Robert J. Pavur

Previous Scheduled Teaching

Published Intellectual Contributions

Abstracts and Proceedings

• Mamun, M., David, A., Mai, B., Pavur, R. (2019). Use of EEG Signals to Analyze Cognitive Load on Task Performance of Voice Controlled VR User. 2018 International Conference on Information Systems.
• Tran, H., Pavur, R.J. (2019). An Alternative to Shannon’s Entropy in Data Fusion and Clustering. Decision Sciences Institute Proceedings. Southwest Decision Sciences Institute. http://www.swdsi.org/
• Lindsey, M., Pavur, R.J. (2019). Effects of Delayed Demand on Intermittent Forecasting. Decision Sciences Institute Proceedings. Southwest Decision Sciences Institute.
• Tian, X., Pavur, R.J. (2019). Text Mining Approach in Human Resource Management. Decision Sciences Institute Proceedings. Southwest Decision Sciences Institute. http://www.swdsi.org/
• Keeling, K.B. (2018). Distribution of p-values in Leading Information Systems Journals and Reproducibility Likelihood. Decision Sciences Institute Proceedings. Conference Program Decision Sciences Institute.
• Lindsey, M., Pavur, R.J. (2018). Revisiting the Assumption of Geometric Distribution in Modeling Intermittent Demand. Decision Sciences Institute Proceedings. Conference Program Decision Sciences Institute - Southwest Region.
• Lindsey, M., Pavur, R.J. (2018). An Experimental Study of Croston’s Forecasting Method under Cross Correlation Conditions. Decision Sciences Institute Proceedings. Conference Program Decision Sciences Institute 2018.
• Xie, H., Pavur, R.J. (2018). Extracting Trends in Behavioral Operations Research: A Latent Semantic Analysis. INFORMS: Manufacturing and Service Operations Management Conference 2018.
• Tian, X., Pavur, R.J. (2018). Hybrid Machine Learning Technique to Forecast Backorder Risk. INFORMS: Manufacturing and Service Operations Management Conference.
• Tian, X., Pavur, R.J. (2018). Hybrid Machine Learning Technique to Forecast Backorder Risk. INFORMS: Manufacturing and Service Operations Management Conference.
• AlKhars, M., Pavur, R.J. (2016). “INSENSITIVITY TO PRIOR PROBABILITY” BIAS IN OPERATIONS MANAGEMENT CONTEXT.

Book

• Kvanli, A., Pavur, R., Keeling, K. (2012). Business Statistics. 675. Cengage.
• Pavur, R.J., Kvanli, Keeling. (2006). Concise Managerial Statistics. Thomson Publishing Co..
• Kvanli, A., Pavur, R., Keeling, K. (2003). Introduction to Business Statistics: A Computer Integrated Approach. West Publishing Company.
• Pavur, R.J., Kvanli, A., Keeling, K. (2003). Study Guide to Accompany Introduction to Business Statistics: A Computer Integrated Approach. West Publishing Company.

Book Chapter

• Lindsey, M., Pavur, R.J. (2016). An Evaluation of Croston’s Method Under Non-stationary Demand Behavior. Other. The Best Thinking in Business Analytics from the Decision Sciences Institute Edited by Merrill Warkentin.

Conference Proceeding

• Nguyen, T.D., Pavur, R.J., Ganesh, G. (2024). The Power of Media in Shaping Preferences for the United Nations Sustainable Development Goals. AMA Marketing and Public Policy Conference.
• Nguyen, T.D., Pavur, R.J., Ganesh, G. (2024). A Framework in Linking Media to United Nations Sustainable Development Goals.
• Salimath, M.S., Jain, V., Pavur, R. (2023). Digital Payments Across Nations: Longitudinal Analysis of Regulatory, Business and Technological Antecedents. Academy of International Business. Academy of International Business.
• Bhawal, S., Salimath, M.S., Pavur, R. (2023). Regulation Mandates and Incentives: Examining Implementation Challenges in the Healthcare Industry. Academy of Management Proceedings. Academy of Management.
• Bhawal, S., Salimath, M., Pavur, R. (2022). Towards Inclusive Strategy Research: Implications of Government Regulation of Social Media Firms. Strategic Management Society Proceedings. Strategic Management Society.
• Lindsey, M., Pavur, R.J. (2020). Effects of Method and Distribution on Forecasting with Obsolescence. Decision Sciences Institute Proceedings. Southwest Region.
• Orudzheva, L., Salimath, M.S., Pavur, R.J. (2019). Strategic Implications of Corruption Control: Sustainable Resource Management vs. Social Performance. Strategic Management Society Proceedings. Strategic Management Society.
• Keeling, K., Pavur, R. (2019). Distribution of Pvalues in JMIS and MISQ. Decision Sciences Institute Proceedings. Southeast Decision Sciences Institute.
• Ta, A., Pavur, R.J. (2017). Exploring a Cost Effective Approach to Periodic Inspections in Quality Control. Decision Sciences Institute Proceedings. Southwest Decision Sciences Institute's annual meeting.
• Orudzheva, L., Salimath, M.S., Pavur, R. (2017). Perpetuation of Corruption: Longitudinal Analysis of Normative Pressures in Top Global 500 Companies. Academy of Management Proceedings. Academy of Management Conference.
• Lindsey, M., Pavur, R.J. (2017). Validating the Effectiveness of Control Charts to Signal Forecasting Methodology Switching With Industrial Data. Southwest Decision Sciences Institute's annual meeting.
• Ogbanufe, O., Pavur, R.J. (2016). Going Through the "Emotions": Identity Protective Responses. WISP 2016 Pre-ICIS Workshop.
• AlKhars, M., Pavur, R.J., Evangelopoulos, N. (2016). Insensitivity to Prior Probability Bias in Operations Management Context. Other.
• Lindsey, M., Pavur, R.J. (2016). Effectiveness of Control Charts for Intermittent Demand. Decision Sciences Institute Proceedings.
• Harun, M.U., Pavur, R.J. (2016). INFLUENCES OF RISK ATTITUDE AND EMOTIONAL STABILITY IN NEWSVENDOR DECISIONS. Decision Sciences Institute Proceedings.
• Muralidhar, K., Pavur, R.J., Keeling, K., Sarathy, R. (2016). Overcoming Limitations of Excel Trendline Functions: A Nonparametric Alternative. Decision Sciences Institute Proceedings.
• Lindsey, M., , R. (2016). A Unique Approach to Predicting Slowing in the Purchasing Managers’ Index. Southwest Decision Sciences Institute's annual meeting.
• Tran, H.T., Pavur, R.J. (2016). Entropy-Based Estimation Applications for Business. Southwest Decision Sciences Institute's annual meeting.
• Pavur, R.J., Alkars, M. (2014). An Examination of the Use and Justification of Dichotomization. DSI Southwestern Regional Meeting.
• Pavur, R.J., Frink, J. (2014). Modeling Statistical Software Adoption Attitudes of Undergraduate Business Student. DSI Southwestern Regional Meeting.
• Lindsey, M., Pavur, R.J. (2014). Proposed Forecasting Methodology for Times with Shifts in Demand Pattern. DSI Southwestern Regional Meeting.
• Lindsey, M., Pavur, R.J. (2014). Utilizing Box-Jenkins Methodology to Forecast Intermittent Demand. Decision Sciences Institute Annual Conference.
• Lindsey, M., Pavur, R. (2013). Croston's Method Adapted for Two Distinct Demand Levels. Southwest Decision Sciences Institute's annual meeting.
• Lindsey, M., Pavur, R. (2013). Using Previous Observations in a Decision Rule for Selecting Either Croston's Method or Single Exponential Smoothing. Decision Analysis Track of the National Decision Sciences Institute's annual meeting.
• Lindsey, M., Pavur, R. (2012). A Forecasting Intermittent Demand with Seasonality: A Simulation Study. Southwest Decision Sciences Institute's annual meeting.
• Lindsey, M., Pavur, R. (2012). Empirical Validation of a Demand Forecasting Technique Using Correlated Product Demand for a National. Decision Sciences Institute Annual Conference.
• Watson, W., Neri, L., Pavur, R. (2012). Manager Dissemination of Task and Relational Processes to Enhance Small Business Viability. Decision Sciences Institute Annual Conference.
• Ashton, T., Pavur, R. (2012). Predicting Parameters for the Asymmetric X-bar Control Chart in Non-Normal Data. InfORMS Annual Meeting.
• Landram, F., Landram, S., Shah, V., Pavur, R. (2012). Spreadsheet Regression Enhancements: Part 11. Decision Sciences Institute Annual Conference.
• Keeling, K., Pavur, R. (2012). Using Quantile Regression to Analyze Student Perceptions of Teaching. Decision Sciences Institute Annual Conference.
• Lindsey, M., Pavur, R. (2011). Assessing Prediction Intervals for Demand Rates of Slow-Moving Parts for a National Retailer. Southwest Decision Sciences Institute's annual meeting.
• Pavur, R., Pan, Y. (2011). Forming Prediction Intervals for Turning Points in Economic Indices. InfORMS Annual Meeting.
• Pan, Y., Pavur, R. (2011). Impact of Simple Forecasting Methods on Supply Chain Performance under Temporal Demand Heteroscedasticity. Decision Sciences Institute.
• Pan, Y., Pavur, R. (2011). Impact of Simple Forecasting Methods on Supply Chain Performance under Temporal Demand Heteroscedasticity. Decision Sciences Institute.
• Lindsey, M., Pavur, R. (2011). Using Demand Patterns of Related Products in Improving the Forecast Accuracy of Intermittent Demand. Decision Sciences Institute.
• Keeling, K.B., Pavur, R.J. (2010). Reliability of Spreadsheet Software: Some Traditional Tests. 41 annual 4101-4106. Decision Sciences Institute.
• McQuaid, B., Keeling, K., Pavur, R. (2010). A Proposed Goodness-of-Fit Test for the Assumptions of a Poisson Process. Year 2010 5427-5437. https://www.amstat.org/membersonly/proceedings/, ASA Joint Statistical Meeting.
• Salmans, B., Kappelman, L., Pavur, R. (2009). Organization Size, IT Capabilities, and EA Perceptions: Dark Clouds on the ERP Horizon?. AMCIS.
• Salmans, B., Kappelman, L., Pavur, R. (2009). Validating Determinants of Information Systems Development Maturity Model. New Orleans, LA, Decision Sciences Institute.
• Keeling, K., Pavur, R. (2008). Comparison of Methods to Generate Eigenvalues for Parallel Analysis. ASA Joint Statistical Meeting.
• Lindsey, M., Pavur, R., Keeling, K. (2008). Estimating the Future Rate of Poisson Events After Removing Certain Variables:Applications to Software. Decision Sciences Institute.
• Lindsey, M., Pavur, R. (2008). Investigating the Importance of Choosing a Correct Prior Distribution in a Bayesian Approach to Inventory Management. DSI Southwestern Regional Meeting.
• Lindsey, M., Pavur, R. (2007). All Dressed Up and Nowhere to Go: How Much of this Slow-Moving Inventory Will Sell?. DSI Southwestern Regional Meeting.
• Lindsey, M., Pavur, R. (2007). Further Evidence of Robustness in Croston's Method. Decision Sciences Institute.
• Keeling, K., Pavur, R. (2007). Four Spreadsheet Packages: Is the Statistical Accuracy the Same?. Decision Sciences Institute.
• Pavur, R.J. (2006). An Exploratory Investigation of a Bayesian Model for Merchandise Sales. Decision Sciences Institute.
• Pavur, R.J. (2006). Assurance of Learning Assessment in Statistics, Production/Operations/Supply Chain Management and Management Science/Operations Research. DSI Southwestern Regional Meeting.
• Keeling, K., Loucopoulos, C., Pavur, R. (2006). Computational and Graphical Insights into Leverage in Multiple Regression. Decision Sciences Institute.
• Lindsey, M., Pavur, R. (2006). Determining Valid Underlying Retail Demand Rates for Proposed Prediction Model of Slow Moving Merchandise. DSI Southwestern Regional Meeting.
• Lindsey, M., Pavur, R. (2005). A Comparison of Methods for Forecasting Intermittent Demand with Increasing or Decreasing Demand Occurrences. Decision Sciences Institute.
• Lindsey, M., Pavur, R. (2005). Applying Software Reliability Techniques to Low Retail Demand Estimation. DSI Southwestern Regional Meeting.
• Pavur, R.J., Keeling, K., Loucopoulos, C. (2005). Extracting Principal Components Using Mathematical Programming. Decision Sciences Institute.
• Pavur, R.J., Lindsey, M. (2004). Can Supply Chain Managers Forecast with the PMI?. Decision Sciences Institute, National Decision Sciences Institute.
• Pavur, R.J., Keeling, K. (2004). Examining Numerical Accuracy of Excel 2003. Decision Sciences Institute, National Decision Sciences Institute.
• Pavur, R.J., Landram, F. (2004). Spreadsheet Regression Enhancements. Decision Sciences Institute, National Decision Sciences Institute.
• Pavur, R.J., Lindsey, M. (2004). Examining Cyclical Nature of the Purchasing Managers Index and Its Components. DSI Southwestern Regional Meeting, Southwest Decision Sciences Institute.
• Pavur, R.J., Abdullah, A. (2003). Factors Influencing A Web Customer's Choice of A Primary Internet Retailer. Decision Sciences Institute, National Decision Sciences Institute.
• Pavur, R.J., Abdullah, A., Mitchell, D. (2003). Evaluating Forecast Models To Monitor Air Quality Managment. DSI Southwestern Regional Meeting, Southwest Decision Sciences Institute.
• Pavur, R.J., Mitchell, D. (2002). Discriminating Between Groups of Data from Mixtures of Distributions with Increasing Hazard Rate Functions. Decision Sciences Institute, National Decision Sciences Institute.
• Pavur, R.J., Rogers, P., Mitchell, D. (2002). Airline Safety Data: How Predictable are Accidents and Fatalities?. DSI Southwestern Regional Meeting, Southwest Decision Sciences Institute.
• Pavur, R.J., Dreyfeus, P. (2001). A Proposed Causal Model Relating Information on Internal Manufacturing Cost to Market Share. Decision Sciences Institute, National Decision Sciences Institute.
• Pavur, R.J., Mitchell, D. (2001). Classification Models for Predicting Transportation Mode Choice for Commuters in a Major Metropolitan Area. Decision Sciences Institute, National Decision Sciences Institute.
• Pavur, R.J., Kelling, K., Sullivan, J. (2001). Estimating Locations of Mean Shifts in the Change Point Problem: A Nonparametric Approach. Decision Sciences Institute, National Decision Sciences Institute.
• Pavur, R.J., Zhang, X., Keeling, K. (2000). Home Page, Sweet Home Page: An Exploratory Analysis across industries. Decision Sciences Institute, National Decision Sciences Institute.
• Pavur, R.J., Loucopoulos, C. (2000). On the classification gap of a three-group MP model: Empirical and theoretical classificatory performance. Decision Sciences Institute, National Decision Sciences Institute.
• Pavur, R.J., Mitchell, D. (2000). Examining the Classificatory Performance of Modular and Radial Basis Neural Networks with Traditional Classification Methods. DSI Southwestern Regional Meeting, Southwest Decision Sciences Institute.
• Pavur, R.J., Keeling, K. (1999). A Regression Equation Predicting 95th Percentile Eigenvalues for the Parallel Analysis Criterion in Principal Components Analysis. Decision Sciences Institute, National Decision Sciences Institute.
• Pavur, R.J., Kelling, K.B. (1999). Examining Estimates of a Mixture of Beta Densities to Model Observed Significance Levels from Central and Non-central t Distributions. DSI Southwestern Regional Meeting, Southwest Decision Sciences Institute.
• Pavur, R.J., Pryor, A., Yellen, R. (1998). Examining the Field of Data Mining: Necessary Expertise Levels and Training Requirements. Decision Sciences Institute, National Decision Sciences Institute.
• Pavur, R.J., Keeling, K. (1998). Relationships Between Cronbach's Reliability Estimate and Research Design Characteristics in Information Systems. Decision Sciences Institute, National Decision Sciences Institute.
• Pavur, R.J., Dreyfeus, P. (1998). An Empirical Assessment of the Role of Eight Dimensions in Enhancing the Marketability of a Product Through Continuous Improvement Processes. DSI Southwestern Regional Meeting, Southwest Decision Sciences Institute.
• Pavur, R.J., Keeling, K. (1998). An Investigation of Previous and Proposed Methodology for Obtaining Expected Values of Eigenvalues From a Sample Correlation Matrix. DSI Southwestern Regional Meeting, Southwest Decision Sciences Institute.
• Pavur, R.J., Loucopoulos, C. (1997). A Two-Phase Mathematical Programming Approach to the Three-Group Discriminant Problem. Decision Sciences Institute, National Decision Science Institute.
• Pavur, R.J., McQuaid, B. (1997). Evaluation of a Proposed Goodness-of-Fit Test for a Poisson Process. Decision Sciences Institute, National Decision Science Institute.
• Pavur, R.J., Mitchell, D., Yi, J., Newton, J. (1997). Examining the Classification Performance of Neural Network Models and Parametric Methods for Classifying Distributions from the Weibull Family. DSI Southwestern Regional Meeting, Southwest Decision Science Institute.
• Pavur, R.J., Yager, S., Pavur, R. (1997). Learning Orientation and Its Relationship to Perceptual Skills for Information Presentation: An Empirical Investigation Using Structural Equation Modeling. DSI Southwestern Regional Meeting, Southwest Decision Science Institute.
• Pavur, R.J., Pryor, A. (1996). An Evaluation of Prediction Intervals For the Future Reliability of a Software Package. Decision Sciences Institute, National Decision Science Institute.
• Pavur, R.J., Loucopoulos, C. (1995). Evaluating Mathematical Programming Models For The Three-Group Discriminant Problem: An Experimental Study. Decision Sciences Institute, National Decision Science Institute meeting.
• Pavur, R.J., Mehta, S., Wanarat, P. (1995). Evaluating Mathematical Programming Discriminant Models For Marketing Research. AMA Conference, American Marketing's Associations national summer.
• Pavur, R.J., Brookshire, B. (1995). Examining the Mann-Whitney Statistic When Populations Have Skewed Distributions. DSI Southwestern Regional Meeting, Southwest Decision Science Institute.
• Pavur, R.J., Brookshire, B. (1994). The Two-Population Location Problem When Non-Normal Populations Have Unequal Variances. Decision Sciences Institute, National Decision Science Institute meeting.
• Pavur, R.J., Wanarat, P. (1994). Determining The Effect of Centering Predictor Variables In A Polynomial Regression Model To Reduce Multicollinearity. DSI Southwestern Regional Meeting, Southwest Decision Science Institute.
• Pavur, R.J., Wanarat, P. (1993). Second Order Terms In LP-Based Models To Solve The Statistical Discriminant Problem. Decision Sciences Institute, National Decision Science Institute meeting.
• Pavur, R.J., Loucopoulos, C. (1993). An Improved MIP Formulation for The Three-group Classification problem. TIMS/ORSA Annual meeting, Annual TIMS/ORSA meeting.
• Pavur, R.J., Loucopoulos, C. (1992). An Investigation Of The Efficiency Of Classification Models For More Than Two Groups Using Mixed Integer Programming. Decision Sciences Institute, National Decision Science Institute meeting.
• Pavur, R.J., Wanarat, P. (1992). Estimating Misclassification Rates For Linear Discriminant Functions With Generated Non-Normal Data. Decision Sciences Institute, National Decision Science Institute meeting.
• Pavur, R.J., Loucopoulos, C. (1992). Evaluating the MIP Approach With a Secondary Goal For the Classification Problem. TIMS/ORSA Annual meeting, Annual TIMS/ORSA meeting.
• Pavur, R.J., Loucopoulos, C. (1991). A Comparison of the Parametric Approaches to a Mixed Integer Programming Approach for the Discriminant Problem. Decision Sciences Institute, National Decision Science Institute meeting.
• Pavur, R.J., Loucopoulos, C. (1991). An Examination of Certain Discriminant Analysis Procedures for More than two Groups. DSI Southwestern Regional Meeting, Southwest Decision Science Institute.
• Pavur, R.J., Loucopoulos, C. (1990). Mixed Integer Programming Approaches to the Statistical Classification Problem For More Than Two Groups. Decision Sciences Institute, National Decision Science Institute meeting.
• Pavur, R.J., Loucopoulos, C. (1990). A Mathematical Programming Formulation For the Three-Group Discriminant Problem. TIMS/ORSA Annual meeting, Annual TIMS/ORSA meeting.
• Pavur, R.J., Young, D. (1989). Multivariate Versions of Grubbs' Test and Bartlett's Test Without the Usual Independence Assumptions. Decision Sciences Institute, National Decision Science Institute meeting.
• Pavur, R.J. (1989). Characterizing the Covariance Structure Under Certain Conditions Imposed On Quadratic Matrices. American Statistical Association Meeting, Annual American Statistical Association meeting.
• Pavur, R.J., Edgeman, R., Scott, R. (1989). Using the Anderson-Darling and Cramer-Von Mises Test Procedures with the Inverse Gaussian Distribution. DSI Southwestern Regional Meeting, Southwest Decision Sciences Regional meeting.
• Pavur, R.J. (1988). Multivariate Analysis Of Variance Without The Assumption Of Independent Vector Observations. Decision Sciences Institute, Annual meeting of the Decision Sciences Institute.
• Pavur, R.J. (1988). Determining The Effect of Covariance Patterns On Multiple Comparisons. American Statistical Association Meeting, Annual American Statistical Association meeting.
• Pavur, R.J. (1987). Confidence Intervals for Derivatives of a Nonlinear Time Series Model. Decision Sciences Institute, National Decision Science Institute meeting.
• Pavur, R.J. (1987). Simulation Results Using Ranks and Normal Scores in Multivariate Statistical Test. American Statistical Association Meeting, American Statistical Society meeting.
• Pavur, R.J., Nath, R. (1987). Chi-Square and F Approximations for Multivariate Tests Using Rank-Scores. DSI Southwestern Regional Meeting, Southwest American Institute of Decision Sciences.
• Pavur, R.J. (1986). The Effect of Correlation on Multiple Comparison Procedures. Decision Sciences Institute, Annual meeting of the Decision Sciences Institute.
• Pavur, R.J. (1986). Conditions for Independence in MANOVA. American Statistical Association Meeting, Annual American Statistical Association meeting.
• Pavur, R.J., Nath, R. (1986). Error Rate Estimation in Discriminant analysis Via Simulation. DSI Southeastern Regional Meeting, Southeast American Institute of Decision Sciences.
• Pavur, R.J. (1985). Generalizations of Necessary and Sufficient Conditions for Quadratic Forms to be Chi-Square. American Statistical Association Meeting, Annual American Statistical Association meeting.
• Pavur, R.J., Nath, R. (1984). Generating Correlated Non-Normal Data for Simulation Studies. Decision Sciences Institute, National American Institute of Decision Sciences'.
• Pavur, R.J. (1983). A Rank-Based Test Statistic in the One-Way MANOVA. Decision Sciences Institute, National American Institute of Decision Sciences'.
• Pavur, R.J., Nath, R. (1983). Exact F-Tests in an ANOVA Procedure for Dependent Observations. Decision Sciences Institute, National American Institute of Decision Sciences m.
• Pavur, R.J., Nath, R. (1983). Correcting for Dependence in an ANOVA Procedure. DSI Southwestern Regional Meeting, Southwest American Institute of Decision Sciences'.
• Pavur, R.J., Kvanli, A. (1983). Dummy Variables in Regression: Which Method to use?. DSI Southwestern Regional Meeting, Southwest American Institute of Decision Sciences'.
• Pavur, R.J., Nath, R. (1982). Monte Carlo Comparison of two Alternative Procedures to analyze Correlated Nonnormal Data in an Experimental Design. Decision Sciences Institute, National American Institute of Decision Sciences m.
• Pavur, R.J. (1982). On the Importance of Estimating Correlations for Large Cell Size in an ANOVA Procedure. DSI Southwestern Regional Meeting, Southwest American Institute of Decision Sciences.

Journal Article

• Tian, X., Pavur, R.J., Han, H., Pavur, L. (2023). A Machine Learning-Based Human Resources Recruitment System for Business Process Management: Using LSA, BERT, and SVM. Business Process Management Journal. 29 (1) 202-222. Leeds, England, Emerald Publishing. https://www.emerald.com/insight/publication/issn/1463-7154
• Ta, A., Tarakci, H., Kulkarni, S., Prybutok, V.R., Pavur, R.J. (2023). The effects of cyber threats on maintenance outsourcing and age replacement policy. Computers in Industry. 144 103787.
• Gharoie Ahangar, R., Pavur, R.J., Gharavi, H. (2022). A Global optima search field division method for evolutionary algorithms. Journal of the Operational Research Society. 73 (5) 1085-1104.
• Malhan, A.S., Pavur, R.J., Pelton, L.E., Manuj, I. (2022). Role of Electronic Healthcare Record Adoption in Enhancing the Relationship between Quality Measures and Hospital Financial Performance. American Business Review. 25 (2) University of New Haven.
• Malhan, A.S., Manuj, I., Pelton, L.E., Pavur, R.J. (2022). Electronic Health Records Using a Resource Advantage Theory Perspective: An Interdisciplinary Literature Review. Records Management Journal. 32 (2) Emerald.
• Al Mamun, M., Prybutok, V.R., Peak, D.A., Torres, R.R., Pavur, R.J. (2022). The Role of Emotional Attachment in IPA Continuance Intention: An Emotional Attachment Model. Information Technology & People. Bradfor, Emerald Publishing. https://www.emerald.com/insight/content/doi/10.1108/ITP-09-2020-0643/full/html#:~:text=Key%20findings%20suggest%20that%20EA,disciplines%20to%20an%20IT%20context.
• Ogbanufe, O., Pavur, R.J. (2022). Going Through the Emotions of Regret and Fear: Revisiting Protection Motivation for Identity Theft Protection. International Journal of Information Management. 62
• Amit, M., Johnson, L.L., Pavur, R.J. (2021). Understanding Challenges and Solutions with Systemigrams: Application to Electronic Medical Record Systems. Journal of International Technology and Information Management. 30 (2) 38.
• Ashton, T., Evangelopoulos, N., Paswan, A., Prybutok, V.R., Pavur, R.J. (2020). Assessing text mining algorithm outcomes. Journal of Business Analytics. 3 (2) 107-121.
• Ostermeir, K., Davis, M.A., Pavur, R.J. (2020). Personality Configurations in Teams: A Comparison of Compilation and Composition Models. Team Performance Management: An International Journal.
• Xu, L., Peng, X., Pavur, R.J., Prybutok, V.R. (2020). Quality management theory development via meta-analysis. International Journal of Production Economics. Elsivier.
• Orudzheva, L., Salimath, M., Pavur, R.J. (2020). Vortex of Corruption: Longitudinal Analysis of Normative Pressures in Top Global CompaniesVortex of Corruption: Longitudinal Analysis of Normative Pressures in Top Global Companies. Journal of Business Ethics. 163 529-551. https://www.emerald.com/insight/content/doi/10.1108/S1477-407020170000012008/full/html
• Kappelman, L., Jones, M., Pavur, R., Nguyen, Q., Johnson, V. (2020). Pathway to Being CIO: The Role of Background Revisited. Information & Management. 57 (5) Information and Management.
• Jones, M.C., Kappelman, L.A., Pavur, R.J., Johnson, V., Nguyen, Q. (2020). Pathways to Being CIO: The Role of Background Revisited. Information & Management. 57 (5)
• Jones, M.C., Kappelman, L.A., Pavur, R.J., Johnson, V., Nguyen, Q. (2020). Pathways to Being CIO: The Role of Background Revisited. Information & Management. 57 (5)
• Alkhars, M., Evangelopoulos, N., Pavur, R.J., Kulkarni, S. (2019). Cognitive biases resulting from the representativeness heuristic in operations management: an experimental investigation. Other. 12 (1) 263-276. London, Dove Press. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6462158/pdf/prbm-12-263.pdf
• Rogers, P., Pavur, R.J. (2019). AIRLINE SAFETY DATA: HOW PREDICTABLE ARE ACCIDENTS AND FATALITIES?. 8 19-29. Federation of Business Disciplines Journal.
• Pavur, R.J., Lindsey, M. (2017). Assessing the Design of Control Charts for Intermittent Data. Advances in Business and Management Forecasting. 12 117-131.
• Anzalone, A., Damond, B., McGuffin, T., Pollard, K., Garrison, J., Jones, M., Pavur, R.J. (2016). A Positive Vestibular/Ocular Motor Screening (VOMS) Is Associated With Increased Recovery Time After Sports-Related Concussion in Youth and Adolescent Athletes. The American Journal of Sports Medicine.
• Lindsey, M., Pavur, R.J. (2016). A Comparative Evaluation of Intermittent Demand Forecasting with Updated Smoothing Constants. Advances in Business and Management Forecasting. 11 39-47.
• Pan, Y., Pavur, R.J., Pohlen, T.L. (2016). Revisiting the Effects of Forecasting Method Selection and Information Sharing Under Volatile Demand in SCM Applications. IEEE Transactions On Engineering Management. 63 (4)
• Pavur, R.J., Abdullah, A., Murad, M. (2016). Factors Influencing Web Customers’ Willingness to Engage in Online Shopping with an Internet Retailer. Journal of Internet Commerce. 15 (3) 292-310. Routledge - Taylor & Francis Group.
• Davis, M.A., Pavur, R.J. (2015). Understanding claims-basedquality profiles inprimarycarepractice: The roleofofficesystemtoolsand health informationtechnology. Health Care Management Review. 39 (4) 293-304.
• Lindsey, M., Pavur, R.J. (2014). Evaluating a Bayesian Approach to Forecasting Stocking Spare Parts that Require Periodic Replenishment. Advances in Business and Management Forecasting.
• Zhang, L., Pavur, R., York, P., Amos, C. (2013). Testing a Model of Users' Web Risk Information Seeking Intention. Informing Science.
• Fang, J., Wen, C., Pavur, R. (2012). Participation Willingness in Web Surveys: Exploring Effect of Sponsoring Corporation's and Survey Provider's Reputation. Cyberpsychology, Behavior, and Social Networking. 15 (4) 195-199.
• Keeling, K., Pavur, R. (2012). Statistical Accuracy of Spreadsheet Software. The American Statistician.
• Watson, W., Cooper, D., Pavur, R., Torres, J.L. (2011). Managerial Characteristics, Operational Observations, and Small Business Performance: A Comparison of US and Mexican Ventures. International Journal of Intercultural Relations.
• Davis, M., Pavur, R. (2011). The Relationship between Office System Tools and Evidence-Based Care in Primary Care Physician Practice. Health Services Management Research.
• Watson, W.E., BarNir, A., Pavur, R. (2010). Elements Influencing Peer Evaluation: An Examination of Individual Characteristics, Academic Performance, and Collaborative Processes. Journal of Applied Social Psychology. 40 (12) 2995-3019. http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1559-1816
• Zhang, X., Prybutok, V., Ryan, S., Pavur, R. (2009). A Model of the Relationship among Consumer Trust, Web Design and User Attributes. Journal of Organizational and End User Computing. 21 (2) 44-66. http://www.igi-global.com/journals/details.asp?id=130
• Abdullah, A.B., Mitchell, D., Pavur, R.J. (2009). An Overview of Forecast Models Evaluation for Monitoring Air Quality Management in the State. Management of Environmental Quality. 20 (1) 73-81. http://www.emeraldinsight.com/journals.htm?issn=1477-7835
• Lindsey, M., Pavur, R. (2009). Prediction Intervals for Future Demand of Existing Products with an Obaserved Demand of Zero. International Journal of Production Economics. 119 (1) 75-89. http://www.elsevier.com/wps/find/journaldescription.cws_home/505647/descriptionNo.description
• Plummer, E., Pavur, R. (2009). The Effects of Rate Limits on Property Tax Revenues and School Expenditures: Evidence from Texas. Journal of the American Taxation Association. 31 (2) 81-107. http://aaahq.org/ata/_atamenu/ATAPubJATA.htmlfull-text
• Lindsey, M., Pavur, R. (2008). A Comparison of Methods for Forecasting Intermittent Demand with Increasing or Decreasing Probability of Demand Occurrences. Advances in Business and Management Forecasting. 115-132. http://www.elsevier.com/wps/find/bookdescription.cws_home/714486/descriptionNo.description
• Landram, F., Pavur, R., Alidaee, B. (2008). An Algorithm for Enhancing Spreadsheet Regression with Out-of-Sample Statistics. Communications in Statistics - Simulation and Computation. 37 (8) 1578-1592. http://www.tandf.co.uk/journals/titles/03610918.asp
• Landram, F.G., Pavur, R.J., Alidaee, B. (2008). Combining Time-Series Components for Improved Forecasts. Decision Sciences Journal of Innovative Education. 6 (1) 197-204.
• Keeling, K.B., Pavur, R.J. (2007). A Comparative Study of the Reliability of Nine Statistical Software Packages. Computational Statistics & Data Analysis. 51 (8) 3811-3831.
• Pavur, R.J., Keeling, K. (2005). A Regression Equation Predicting 95th Percentile Eigenvalues for the Parallel Analysis Criterion in Principal Components Analysis. International Journal Of Operations And Production Management. 11 (2) 1-12.
• Pavur, R.J., Mayper, A.G., Merino, B.D., Hoops, W. (2005). The Impact of Accounting Education on Ethical Values: An Institutional Perspective. Accounting and the Public Interest. 5 32-55.
• Pavur, R.J., Ryan, S., Zhang, L. (2005). The Influence of a Learning Culture on IT Investments. Journal of Information Technology Management. 16 (3)
• Pavur, R.J., Watson, W., BarNir, A. (2005). Cultural Diversity and Learning Teams: The Impact on Desired Academic Team Processes. International Journal of Intercultural Relations. 29 (4) 449-467.
• Pavur, R.J., Lindsey, M. (2005). As the PMI Turns: A Tool for Supply Chain Managers. Journal of Supply Chain Management. 41 (1) 30-39.
• Pavur, R.J., Kight, T. (2004). Modeling the Distribution of DASD I/O Response Time. CMG Journal of Computer Resource Management. (112) 17-26.
• Pavur, R.J., Keeling, K. (2004). A Comparison of Methods for Approximating the Mean Eigenvalues of a Random Matrix. Communications in Statistics - Simulation and Computation. 33 (4) 945-961.
• Pavur, R.J., Zhang, X., Windsor, J. (2003). Determinants of software volatility: a field study. Journal of Software Maintenance and Evolution. 15 (3) 191-204.
• Pavur, R.J. (2002). A Comparative Study of the Effect of the Position of Outliers on Classical and Nontraditional Approaches to the Two-Group Classification Problem. European Journal of Operational Research. 136 (3) 603-615.
• Pavur, R.J., Loucopoulos, C., Gutierrez, C. (2002). Insights into Gender Discrimination in Employment Compensation through the use of Classification Models. Journal of Managerial Issues. 14 (3) 375-387.
• Pavur, R.J., Keeling, K. (2002). Simplified Procedure for Implementing Nonparametric Tests in Excel. Decision Line. 33 (1) 8-10.
• Pavur, R.J., Mitchell, D. (2002). Using Modular Neural Networks for Business Decisions. Management Decision. 40 (1) 58-63.
• Pavur, R.J., Loucopoulos, C. (2001). Evaluating the effect of gap size in a single function mathematical programming model for the three-group classification problem. Journal of the Operational Research Society. 52 (8) 896-904.
• Pavur, R.J., Hayslip, B., McCoy, L. (1999). Attrition Effects in Bereavement Research: A Three Year Longitudinal Analysis. OMEGA - The International Journal of Management Science. 38 21-35.
• Pavur, R.J., Jayakumar, M., Clayton, H. (1999). Software Testing Metrics: Do They Have Merit?. Industrial Management & Data Systems. 99 (1) 5-10.
• Pavur, R.J., Prybutok, V., Kappelman, L., Richards, M. (1999). Using Information Technology Competence and Personal Prospects to Assess the Risk-Taking Propensity of Candidates for Business Jobs. International Journal of Operations And Quantitative Management. 5 (1) 27-41.
• Pavur, R.J., Kelly, K., Hayslip, B., Hobdy, J., Servaty, H. (1998). The impact of cortisol on practice-related gains in intelligence. Experimental Aging Research. 24 217-230.
• Pavur, R.J., Loucopoulos, C. (1997). Computational Characteristics of a New Mathematical Programming Model for the Three-Group Discriminant Problem. Computers & Operations Research. 24 (2) 179-191.
• Pavur, R.J. (1997). Dimensionality Representation of Linear Discriminant Function Space for the Multiple-Group Problem: An MIP Approach. Annals of Operations Research. 74 37-50.
• Pavur, R.J., Wanarat, P., Loucopoulos, C. (1997). Examination of Classificatory Performance of MIP Models with Secondary Goals for the Two-Group Discriminant Problem. Annals of Operations Research. 74 173-189.
• Pavur, R.J., Wanarat, P. (1996). Examining the Effect of Second-Order Terms in Mathematical Programming Approaches to the Classification Problem. European Journal of Operational Research. 93 (3) 582-601.
• Pavur, R.J., Loucopoulos, C. (1996). Monitoring the States of a Process: A Mathematical Programming Approach. Economic Quality Control. 11 (4) 183-192.
• Pavur, R.J., Loucopoulos, C. (1996). Potential Impact of Certain Inappropriate Experimental Design Procedures in Information Systems Research. International Journal of Computer and Engineering Management. 4 (2) 183-192.
• Pavur, R.J., Loucopoulos, C. (1995). Examining Optimal Criterion Weights in Mixed Integer Programming Approaches to the Multiple-Groups Classification Problem. Journal of the Operational Research Society. 46 (46) 626-640.
• Pavur, R.J., Kvanli, A. (1995). Examining changes in the Sample Variance from Omitting an Observation: Some Surprising Results. Economic Quality Control. 10 (2) 129-136.
• Pavur, R.J., Edgeman, R.L., Scott, R.C. (1992). Quadratic Statistics for the Goodness-Of-Fit Test of the Inverse-Gaussian Distribution. IEEE Transactions on Reliability. 41 (1) 118-123.
• Pavur, R.J., Young, D. (1991). Conditions For Invariance of the Multivariate Versions of Grubb's Test and Bartlett's Test under A General Dependency Structure. Metrika. 38 83-97.
• Pavur, R.J. (1989). A Characterization of the Covariance Structure in Which Certain Quadratic Forms Are Independent and Follow Chi-Square Distributions. @The Center Magazine. 51 382-389.
• Pavur, R.J., Young, D., Marco, V. (1989). A Note On The Effect Of Correlation and Unequal Variances In Detecting A Spurious Observation. Canadian Journal of Statistics. 17 (1) 103-105.
• Pavur, R.J., Nath, R. (1989). Power and Type I Error Rates For Rank-Score MANOVA Techniques. Multivariate Behavioral Research. 24 (4) 477-501.
• Pavur, R.J., Edgeman, R., Scott, R. (1988). A Modified Kolmogorov-Simironov Test For The Inverse Gaussian Density With Unknown Parameters. Communications in Statistics - Simulation and Computation. 17 (4) 1203-1212.
• Pavur, R.J. (1988). Type I Error Rates for Multiple Comparison Procedures With Dependent Data. The American Statistician. 42 (3) 171-173.
• Pavur, R.J., Simmons, L.P., Kvanli, A. (1987). A Comparison of the Accuracy of the Box-Jenkins Method With That of Automated Forecasting Methods. International Journal Of Forecasting. (3) 261-267.
• Pavur, R.J. (1987). Distribution of Multivariate Quadratic Forms Under Certain Covariance Structures. Canadian Journal of Statistics. 15 (2) 169-176.
• Pavur, R.J., Nath, R. (1986). Parametric Versus Rank Transform Procedures in the two-way Factorial Experiment: A Comparative Study. Journal of Statistical Computation and Simulation. 23 (3) 231-240.
• Pavur, R.J., Lewis, T. (1986). Test Procedures in Covariance Analysis Assuming A General Correlation Pattern. Communications in Statistics - Theory and Methods. 15 (2) 472-492.
• Pavur, R.J., Lewis, T. (1986). The Role of Powers of Matrices in Determining the Distribution of Quadratic Forms Involving the Complex Normal Distribution. Linear Algebra and its Applications. 76 71-84.
• Pavur, R.J., Nath, R. (1985). A New Statistic in the One-Way Multivariate Analysis of Variance. Computational Statistics & Data Analysis. 2 297-315.
• Pavur, R.J., Davenport, J. (1985). The (Large) Effect of (Small) Correlations in Anova and Correction Procedures. American Journal of Mathematical and Management Sciences. 5 (1) 77-92.
• Pavur, R.J., Nath, R. (1984). Exact F Tests in an ANOVA Procedure for Dependent Observations. Multivariate Behavioral Research. 19 408-420.
• Pavur, R.J., Lewis, T. (1984). Test Procedures for the Analysis of Experimental Designs with Correlated Non-Normal Data. Communications in Statistics - Theory and Methods. 11 (20) 2315-2334.
• Pavur, R.J., Lewis, T. (1983). Unbiased F-Tests for Factorial Experiments for Correlated Data. Communications in Statistics - Theory and Methods. 12 (7) 829-840.

Monograph

• Lindsey, M., Pavur, R., Altay, N., Litteral, L.A. (2011). Service Parts Management: Demand Forecasting and Inventory Control. 233-250. London Dordrecht Heidelberg New York, Springer Verlag.

Contracts, Grants and Sponsored Research

Grant - Research

• Pavur, R.J., Kulkarni, S., Kvanli, A., "2011: Pavur, R., Kulkarni, S., & Kvanli, A., N-Gen Course Redesign ($12,000.00), Granted $12000 for comprehensive," sponsored by UNT, $12000 Funded. (2011 - 2011).
• Pavur, R.J., "Improving the Efficiency of Mixed Integer Programming Models for the Statistical Classification Problem," sponsored by UNT, $2100 Funded. (1992 - 1992).
• Pavur, R.J., "A Comparison of Statistical and Mathematical Programming Formulations to the Discriminant Problem With More Than Two Groups," sponsored by UNT, $2100 Funded. (1990 - 1990).
• Pavur, R.J., "Using Mixed Integer Programming Formulations to Solve the Discriminant Problem with More Than Two Groups," sponsored by UNT, $3000 Funded. (1990 - 1990).
• Pavur, R.J., "A Comparison of Several Multivariate Test Statistics Using Transformed Data," sponsored by UNT, $1700 Funded. (1987 - 1987).
• Pavur, R.J., "Rank-Score Transform Procedure in Multivariate Statistical Analysis," sponsored by UNT, $2000 Funded. (1987 - 1987).
• Pavur, R.J., "Robustness of the MANOVA Procedure for Departures from the Standard Assumptions," sponsored by UNT, $2015 Funded. (1985 - 1985).
• Pavur, R.J., "Alternate Test Procedures for the Analysis of Experimental Designs with Non-Normal Data," sponsored by UNT, $1440 Funded. (1983 - 1983).
• Pavur, R.J., "Studying and Correcting the Effects of Correlation on Certain Significance Tests in Experimental Designs," sponsored by UNT, $1500 Funded. (1982 - 1982).
• Pavur, R.J., "Analyze Bidding Data on Offshore Oil Lease Sales," sponsored by Los Alamos Scientific Laboratory, $2000 Funded. (1979 - 1979).