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.
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.
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.
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.
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.
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.
