Published & Accepted Articles
- Hair, J.F., Sharma, P.N., Sarstedt, M., Ringle, C.M. and Liengaard, B.D. "The Shortcomings of Equal Weights Estimation and the Composite Equivalence Index in PLS-SEM", European Journal of Marketing, 58(13), pp. 30-55, (2024). Link
- Adler, S., Sharma, P.N., and Radomir, L. "Toward Open Science in PLS-SEM: Assessing the State of the Art and Future Perspectives," Journal of Business Research, 169, pp. 1-13, (2023). Link Preregistration Template Culverhouse Newsroom
- Sharma, P.N., Liengaard, B., Hair, J., Sarstedt, M., and Ringle, C. “Predictive Model Assessment and Selection in Composite-based Modeling using PLS-SEM: Extensions and Guidelines for Using CVPAT,” European Journal of Marketing, 57(6), pp. 1662-1677, (2023). Link
- Sharma, P.N., Liengaard, B., Sarstedt, M., Hair, J. and Ringle, C. "Extraordinary Claims Require Extraordinary Evidence: A Comment on "Recent Developments in PLS"," Communications of the Association for Information Systems, 52(1), pp. 739-742, (2023). Link
- Sharma, P.N., Daniel, S., Chung, R., and Grover, V. “A Motivation-Hygiene Model of Open Source Software Code Contribution and Growth,” Journal of the Association for Information Systems, 23(1), pp. 165-195, (2022). Link
- Morgeson III, F., Sharma, P.N., Sharma, U., and Hult, T. “Partisan Bias and Citizen Satisfaction, Confidence, and Trust in the U.S. Federal Government," Public Management Review, (2021). Link
- Chung, R., Sharma, P.N., Lee, C.C., and Pinto, J. "National Culture and Occupational Fraud Magnitude: The Moderating Role of Fraud Type," Journal of Forensic Accounting Research, (2021). Link
- Daniel, S., Chung, R., and Sharma, P.N. “The Impact of Anonymous Peripheral Contributions on Open Source Software Development,” AIS Transactions on Human-Computer Interaction, 12(3), pp. 146-171, (2020). Link
- Liengaard, B., Sharma, P.N., Hult, T., Jensen, M., Sarstedt, M., Hair, J., and Ringle, C. “Prediction: Coveted, yet Forsaken? Introducing a Cross-validated Predictive Ability Test in Partial Least Squares Path Modeling,” Decision Sciences, (2020). Link R Code on GitHub SmartPLS Link
- Danks, N., Sharma, P.N., and Sarstedt, M. “Model Selection Uncertainty and Multimodel Inference in Partial Least Squares Structural Equation Modeling (PLS-SEM),” Journal of Business Research, 113, pp. 13-24, (2020). Link R Code on GitHub
- Chung, R., Liang, T.P., Peng, C.H., Chen, D.N., and Sharma, P.N. “Knowledge Creation and Organizational Performance: Moderating and Mediating Processes from an Organizational Agility Perspective,” AIS Transactions on Human-Computer Interaction, 11(2), pp. 79-106, (2019). Link
- Sharma, P.N., Sarstedt, M., Shmueli, G., Kim, K.H. (†), and Thiele, K.O. “PLS-Based Model Selection: The Role of Alternative Explanations in Information Systems Research,” Journal of the Association for Information Systems, 20(4), pp. 346-397, (2019). Link SmartPLS Link
- Hult, T., Sharma, P.N., Morgeson III, F., and Zhang, Y. “Antecedents and Consequences of Customer Satisfaction: Do They Differ Across Online and Offline Purchases?” Journal of Retailing, 95(1), pp. 10-23, (2019). Link
- Sharma, P.N., Morgeson III, F., Mithas, S., and Aljazzaf, S. “An Empirical and Comparative Analysis of E-Government Performance Measurement Models: Model Selection via Explanation, Prediction, and Parsimony,” Government Information Quarterly, 35, pp. 515-535, (2018). Link
- Sharma, P.N., Shmueli, G., Sarstedt, M., Danks, N. & Ray, S. “Prediction-Oriented Model Selection in Partial Least Squares Path Modeling,” Decision Sciences, (2018). Link
- Sharma, P.N., Pohlig, R.T., and Kim, K.H. (†) “Model Misspecifications and Bootstrap Parameter Recovery in PLS and ML-SEM based Exploratory Modeling,” in R. Noonan & H. Latan (Eds): Partial Least Squares Path Modeling: Basic Concepts, Methodological Issues and Applications, Springer, (2017). Link
- Wang, Z., Sharma, P.N., and Cao, J. “From Knowledge Sharing to Firm Performance: A Predictive Model Comparison,” Journal of Business Research, 69(10), pp. 4650-4658, (2016). Link
- Morgeson III, F., Sharma, P.N., and Hult, T., “Cross-National Differences in Consumer Satisfaction: Mobile Services in Emerging and Developed Markets,” Journal of International Marketing, 23(2), pp. 1-24, (2015). Link
- Sharma, P.N., and Kim, K.H. (†) “A Comparison of PLS and ML Bootstrapping Techniques in SEM,” in H. Abdi et al. (Eds): New Perspectives in Partial Least Squares and Related Methods, vol. 56, pp. 201-208, Springer Verlag, (2013). Link
- Sharma, P.N., Hulland, J., and Daniel, S. “Examining Turnover in Open Source Software Projects Using Logistic Hierarchical Linear Modeling Approach,” in I. Hammouda et al. (Eds): Open Source Systems: Long Term Sustainability, IFIP Advances in Information and Communication Technology, v. 378, pp. 331-337, Springer Berlin Heidelberg, (2012). Link
- Gonzalez, G., Sharma, P.N., and Galletta, D. "Factors Influencing the Planned Adoption of Continuous Monitoring Technology," Journal of Information Systems, 26(2), pp. 53-69, (2012). Link
- Gonzalez, G., Sharma, P.N., and Galletta, D. "The Antecedents of the Use of Continuous Auditing in the Internal Auditing Context," International Journal of Accounting Information Systems, 13(3), pp. 248-262, (2012). Link
Conference Proceedings & Presentations
- Das, S., Taer, H., and Sharma, P.N. "ChatGPT in Academia: Students Information Collection and Validation Strategies," Proceedings of the Americas Conference on Information Systems, Salt Lake City, UT, (2024).
- Sokiyna, M. Herfurth, A., and Sharma, P.N. "Stack Overflow Users Responses to Toxicity: An Exploratory Study," Proceedings of the Americas Conference on Information Systems, Salt Lake City, UT, (2024).
- Sokiyna, M. and Sharma, P.N. "Aggressive, Disrespectful, Uncivil: An Immersive Examination of Toxic Communications as an Obstacle for Participation in Open-Source Software Communities," Proceedings of the Americas Conference on Information Systems, Salt Lake City, UT, (2024).
- Smith, L., Vadodaria, R., Chung, R., and Sharma, P.N. "Detecting Cross-Country Money Laundering Transactions Using Machine Learning," Association of Certified Fraud Examiners (ACFE) Research Institute Annual Meeting, Las Vegas, NV, (2024).
- Alowais, S., Sharma, P.N., Armeen, I., and Johnston, A. “Cyber Hygiene Practices Across Cultures: A Cross Cultural Study of the US and Saudi Arabia based Information Systems Users,” CENTERIS - International Conference on ENTERprise Information Systems, (2022).
- Sharma, P.N., Liengaard, B., Hair, J., Sarstedt, M., and Ringle, C. “Predictive Model Assessment in PLS-SEM: Extensions and Guidelines,” Academy of Marketing Science Annual Conference, Monterey, CA, (2022).
- Chung, T.R., Xia, Y., Ibba, N., and Sharma, P.N. “Impact of Blockchain Data on Supply Chain Decision Making: An Experimental Study,” 2022 POMS Annual Conference, Orlando, FL, (2022). [Invited].
- Chung, R. and Sharma, P.N. “Detecting Cross-Country Money Laundering Transactions using Machine Learning,” in the Association of Certified Fraud Examiners (ACFE) Annual Meeting, (2021).
- Danks, N., Sharma, P.N., Sarstedt, M., and Ray, S. “Model Selection Uncertainty and Multimodel Averaging in the Context of Technology Adoption,” in the International Conference on Partial Least Squares Structural Equation Modeling, Beijing, China (* conference postponed to 2022).
- Sharma, P.N., Chung, R., Lee, C.C., and Pinto, J. "The Relationship between National Culture and Occupational Fraud Magnitude," in the Academy of Management Proceedings, Boston, MA (2019). Link
- Danks, N., Sharma, P.N., and Sarstedt, M. “Model Selection Uncertainty and Multimodel Averaging in Partial Least Squares Structural Equation Modeling (PLS-SEM): Structured Abstract,” in (1) the Academy of Marketing Science Annual Conference, Vancouver, CA (2019), (2) Academy of Marketing Science World Marketing Congress, Edinburgh, Scotland (2019), and (3) the International Symposium on Applied Structural Equation Modeling and Methodological Matters (SASEM), Malacca, Malaysia (2019). *Winner of William R. Darden Best Research Method Paper at the at the Academy of Marketing Science Annual Conference, Vancouver, CA (2019).
- Sharma, P.N., Sarstedt, M., Shmueli, G., Thiele, K., and Kim, K.H (†). “Model Selection in Partial Least Squares Structural Equation Modeling,” in the International Symposium on Applied Structural Equation Modeling, Kuching, Malaysia (2017).
- Sharma, P.N., Shmueli, G., Sarstedt, M., Danks, N. & Ray, S. “Prediction Oriented Model Selection in Partial Least Squares Path Modeling,” in the 9th International Conference on PLS and Related Methods, Macau, China (2017).
- Chung, R., Sharma, P.N., and Lee C.C. “The Relationship between Digital (ICT) Environments and Occupational Fraud Magnitude: A Multi-Level Investigation across Nations,” in the Institute for Fraud Prevention (IFP) meeting, New York (2016).
- Chung, R., Sharma, P.N., and Lee C.C. “The Influence of Country Digital Infrastructure on Fraud,” in the MIS Quarterly Pre-AMCIS Authors Workshop, San Diego, CA (2016).
- Sharma, P.N., Daniel, S. and Chung, R. “The Impact of Person-Organization Fit and Psychological Ownership on Turnover in Open Source Software Projects,” in (1) INFORMS Annual Meeting, Philadelphia (2015), and (2) 21st Americas Conference on Information Systems, Puerto Rico (2015).
- Sharma, P.N., Sarstedt, M., Shmueli, G. and Kim, K.H (†). “Predictive Model Selection in Partial Least Squares Path Modeling,” in (1) the 2nd International Symposium on Partial Least Squares Path Modeling, Seville, Spain (2015), and (2) the 11th Symposium on Statistical Challenges in E-Commerce Research (SCECR), Addis Ababa, Ethiopia (2015).
- Sharma, P.N., Morgeson III, F., Mithas, S. and Aljazzaf, S. “In Which Model Do We Trust, and When? Comparing the Explanatory and Predictive Abilities of E-Government User Satisfaction and Citizen Trust Models,” in (1) the 21st Americas Conference on Information Systems, Puerto Rico (2015), and (2) the 24th annual IBM Frontiers in Service Conference, San Jose, CA (2015).
- Sharma, P.N. and Kim, K.H. (†) “Model Selection in Information Systems Research Using Partial Least Squares Based Structural Equation Modeling,” in the Proceedings of the 33rd International Conference on Information Systems, Orlando, FL (2012).
- Sharma, P.N. “Essays on the Sustainability of Open Source Projects,” in the Doctoral Consortium, 8th International Conference on Open Source Systems, Hammamet, Tunisia (2012).
- Sharma, P.N. and Kim, K.H. (†) "A Comparison of PLS and ML Bootstrapping Techniques in SEM: A Monte Carlo Study," in the Proceedings of the 7th International Conference on Partial Least Squares and Related Methods, Houston, Texas (2012).
- Sharma P.N., Hulland, J. and Daniel, S. “Examining Turnover in Open Source Software Projects Using Logistic Hierarchical Linear Modeling Approach,” in the 8th International Conference on Open Source Systems, Hammamet, Tunisia (2012).
- Gonzalez, G., Sharma, P.N. and Galletta, D. "Continuous Monitoring: Are Non-Adopters with Future Adoption Plans More Enlightened than Non-Adopters with No Adoption Plans?” in the Information Systems and Strategic & Emerging Technologies Section of the 2012 American Accounting Association Mid-Year Conference, Scottsdale, Arizona (2012).
- Sharma, P.N., Gonzalez, G. and Galletta, D. "Adoption of Continuous Monitoring and Continuous Auditing: A Multi-Group Partial Least Squares Approach," in the SIG-ASYS Workshop on Accounting Information Systems, Shanghai, China (2011).
- Gonzalez, G., Sharma, P.N. and Galletta, D. "The Antecedents of Continuous Auditing in the Internal Auditing Context," in the 7th University of Waterloo Research Symposium on Information Integrity and Information Systems Assurance, Toronto, Canada (2011).
- Sharma, P.N., Daniel, S. and Chung, R. "The Impact of Person-Organization Fit on Turnover in Open Source Software Projects," in the Proceedings of the 31st International Conference on Information Systems, St. Louis, Missouri (2010), and MIS Quarterly Pre-ICIS Authors Workshop, St. Louis, Missouri (2010).
Executive Reports
- Gonzalez, G., Sharma, P.N., and Galletta, D. “Continuous Auditing and Continuous Monitoring Technology Implementation: A Worldwide Survey,” IMA Foundation Research Grant Summary (2012). Link
- Smith, L., Vadodaria, R., Chung, R., and Sharma, P.N. "Heterogeneous Graph Neural Network versus Classic Machine Learning Methods with a Hybrid Dataset for Money Laundering Detection," Association of Certified Fraud Examiners (ACFE) Research Institute Grant Summary, (2024).
Dissertation
- Sharma, P.N. “The Role of Ownership and Social Identity in Predicting Developer Turnover in Open Source Software Projects,” Doctoral Dissertation, University of Pittsburgh, (2013). Link