RAMESH SHARDA

Spears School of Business
Chuck and Kim Watson Chair
Vice Dean for Grad Programs and Research
Regents Professor of Management Science and Information Systems
Professor
ConocoPhillips Chair of Technology Management

SPEARS SCHOOL OF BUSINESS
STILLWATER, OK 74078
Phone: 405-744-5064

ramesh.sharda@okstate.edu

Biography

Ramesh Sharda is the Vice Dean for Research and the Watson Graduate School of Management, Watson/ConocoPhillips Chair and a Regents Professor of Management Science and Information Systems in the Spears School of Business at Oklahoma State University. He has coauthored two textbooks ( Analytics, Data Science, and Artificial Intelligence: Systems for Decision Support, 11th edition, Pearson and Business Intelligence, Analytics, and Data Science: A Managerial Perspective , 4th Edition, Pearson). His research has been published in major journals in management science and information systems including Management Science, Operations Research, Information Systems Research, Decision Support Systems, Interfaces, INFORMS Journal on Computing, and many others. He is a member of the editorial boards of journals such as the Decision Support Systems, Decision Sciences, ACM Database, and Information Systems Frontiers. He served as the Executive Director of Teradata University Network through 2020 and was inducted into the Oklahoma Higher Education Hall of Fame in 2016. Ramesh is a Fellow of INFORMS and AIS.

He was the winner of 2020 OSU Eminent Faculty Award. Ramesh also won the Fulbright Distinguished Chair Award at Aalto University in Finland for 2022-2023.

Education

• Ph D, University of Wisconsin-Madison, Business-Quantitative Analysis, 1981
• MBA, University of Wisconsin-Madison, Operations Research and Finance, 1978
• MS, The Ohio State University, Ag. Eng., 1976
• BS, University of Udaipur, Ag. Engineering, 1975

Publications

• Pankush Kalgotra and Ramesh Sharda. (2024). "Teaching Network Analytics through Virtual Reality: An Illustrative Application of Comorbidity Network". Stillwater: Proceedings of the SIGDSA Pre-ICIS Conference 2023.
• Damian Kedziora, Domnik Siemon, and Ramesh Sharda. (2024). "Leanbotics’ Case – Exploring Inclusive Synergies Between Robotic Process Automation (RPA) and Process Improvement ". Proceedings of HICSS Conference .
• Pankush Kalgotra and Ramesh Sharda. (2023). "Network Analytics: An Introduction and Illustrative Applications in Health Data Science". Journal of IT Case and Application Research (Forthcoming). (25), 3, 305-315. DOI: 10.1080/15228053.2023.2187995.
• Pankush Kalgotra, Ramesh Sharda, and Sravanthi Parasa. (2023). "Quantifying Disease-Interactions through Co-occurrence Matrices to Predict Early Onset Colorectal Cancer". Decision Support Systems (Forthcoming). (168), https://doi.org/10.1016/j.dss.2023.113929. ISSN 0167-9236.
• Pankush Kalgotra, Uzma Raja, and Ramesh Sharda. "Growth in the development of health and fitness mobile apps amid COVID-19". Digital Health. (2022), 8, doi:10.1177/20552076221129070.
• Corey W. Baham, Pankush Kalgotra, Forough Nasirpouri, and Ramesh Sharda. (2022). "Generational Differences in Handling Technology Interruptions: A Qualitative Study". European Journal of Information Systems.
• Amir Hassan Zadeh and Ramesh Sharda. (2022). "How Can Our Tweets Go Viral? Point-Process Modelling of Brand Content ". Information and Management. (59), 2, https://doi.org/10.1016/j.im.2022.103594.
• Pankush Kalgotra and Ramesh Sharda. (2021). "When will I get out of the hospital? Modeling Length of Stay using Comorbidity Networks". Journal of Management Information Systems. (38), 4, pp. 1150-1184. https://doi.org/10.1080/07421222.2021.1990618.
• Pankush Kalgotra, Ashish Gupta, and Ramesh Sharda. (2021). "Pandemic Information Support Lifecycle: Evidence from the Evolution of Mobile Apps during COVID-19". Journal of Business Research. (134), 540-559. https://doi.org/10.1016/j.jbusres.2021.06.002.
• Ashwin Kumar, Daniel Asamoah, and Ramesh Sharda. (2021). "Non-Communicable Diseases and Social Media: A Heart Disease Symptoms Application". Journal of Information and Knowledge Management. (20), 4, https://doi.org/10.1142/S021964922150043X.
• Amir Hassan Zadeh, Hamed Majidi Zolbanin, and Ramesh Sharda. (2021). "Incorporating Big Data Tools for Social Media Analytics in a Business Analytics Course". Journal of Information Systems Education. (32), 3, 176-198.
• Daniel Asamoah and Ramesh Sharda. (2021). "What Should I Believe? Exploring Information Validity on Social Network Platforms". Stillwater: Journal of Business Research. (122), https://doi.org/10.1016/j.jbusres.2020.09.019, 567-581. A0148-2963.
• Pankush Kalgotra, Ramesh Sharda, and Julie M. Croff. (2020). "Examining multimorbidity differences across racial groups: a network analysis of electronic medical records". Scientific Reports. (10), 13538.
• Matthew Stocker, Lakshmi Iyer, Basant Maheshwari, and Ramesh Sharda. (2020). "Predicting Groundwater Fluctuations in Hard Rock Watersheds – An Application of Data Visualizations and Machine Learning Algorithms". Proceedings of the 2020 Pre-ICIS SIGDSA Symposium . https://aisel.aisnet.org/cgi/viewcontent.cgi?article=1006&context=sigdsa2020.
• Pankush Kalgotra, Ramesh Sharda, and Andy Luse. (2020). "Which Similarity Measure to Use in Network Analysis: Impact of Sample Size on Phi Correlation Coefficient and Ochiai Index". International Journal of Information Management. (55), December 2020,
• JP Shim, Ramesh Sharda, Aaron French, Rhonda Syler, and Karen Patten. (2020). "The Internet of Things: Multi-Faceted Research Perspectives". Communications of the Association for Information Systems (Forthcoming). (46), https://doi.org/10.17705/1CAIS.04621, https://aisel.aisnet.org/cais/vol46/iss1/21/. A1529-3181.
• Daniel Asamoah and Ramesh Sharda. (2019). "CRISP-eSNeP: Towards a data-driven knowledge discovery process for electronic social networks". Journal of Decision Systems. (28), 4, 286-308.
• Pankush Kalgotra, Ramesh Sharda, Bryan I. Hammer, and David Albert. (2019). "Sensor Analytics for Interpretation of EKG Signals Expert Systems With Applications". Expert Systems with Applications. https://doi.org/10.1016/j.eswa.2018.12.056.
• Ramesh Sharda, Ashish Gupta, James Marsden, Philip Brey, and Irina Heimbach. (2019). "Panel: UNDERSTANDING THE DARK SIDE OF ANALYTICS: PRIMUM NON NOCERE!". Proceedings of the 27th European Conference on Information Systems (ECIS).
• Ashish Gupta, Gary Wilkerson, Ramesh Sharda, and M Colston. (2019). "Who is More Injury-Prone? Prediction and Assessment of Injury Risk.". Decision Sciences. (50), 2, 374-409. https://doi.org/10.1111/deci.12333.
• Amir H Zadeh, Hamed M Zolbanin, Ramesh Sharda, and Dursun Delen. (2019). "Social Media for Nowcasting Flu Activity: Spatio-Temporal Big Data Analysis". Information Systems Frontiers. (21), 4, 743-760. http://link.springer.com/article/10.1007/s10796-018-9893-0.
• Jeffrey S Saltz, Frank Armour, and Ramesh Sharda. (2018). "Data Science Roles and the Types of Data Science Programs". Communications of the Association for Information Systems. (43), 33, 1-11.
• Pankush Kalgotra and Ramesh Sharda. (2018). "BIARAM: A Process for Analyzing Correlated Brain Regions Using Association Rule Mining". Computer Methods and Programs in Biomedicine. (162), 2018, 99-108. https://doi.org/10.1016/j.cmpb.2018.05.001.
• Ashish Gupta, Amit Deokar, Lakshmi Iyer, Ramesh Sharda, and Dave Schrader. (2018). "Big Data & Analytics for Societal Impact: Recent Research and Trends". Information Systems Frontiers. (20), 2, 185–194. https://doi.org/10.1007/s10796-018-9846-7.
• Pankush Kalgotra, Ramesh Sharda, and Roger McHaney. (2017). "Don’t Disturb Me! Understanding the Impact of Interruptions on Knowledge Work: An Exploratory Neuroimaging Study". Information Systems Frontiers. https://doi.org/10.1007%2Fs10796-017-9812-9.
• Pankush Kalgotra, Ramesh Sharda, and William Paiva. (2017). "Analysis of a Sequence of Events in Healthcare". Journal of the Midwest Association for Information Systems. (2017), 2, 9-23.
• Pankush Kalgotra, Ramesh Sharda, and Julie M Croff. (2017). "Examining Health Disparities by Gender: A Multimorbidity Network Analysis of Electronic Medical Record". International Journal of Medical Informatics. (108), 22–28. https://doi.org/10.1016/j.ijmedinf.2017.09.014.
• Ramesh Sharda and Pankush Kalgotra. (2017). "The Blossoming Analytics Talent Pool: An Overview of the Analytics Ecosystem". Informs Analytics Body of Knowledge (ABOK) (Forthcoming).
• Pankush Kalgotra, Ramesh Sharda, Bhargav Molaka, and Samsheel Kathuri. (2017). "Time - Based Comorbidity in Patients Diagnosed with Tobacco Use Disorder". Springer, New York, USA: Guide to Big Data Applications. 401-413.
• Daniel Asamoah, Ramesh Sharda, Amir Hassan Zadeh, and Pankush Kalgotra. (2017). "Preparing a Data Scientist: A Pedagogic Experience in Designing a Big Data Analytics Course". Decision Sciences Journal of Innovative Education. (15), 2, 161-190. http://dx.doi.org/10.1111/dsji.12125.
• Pankush Kalgotra, Andy Luse, and Ramesh Sharda. (2017). "Take Control of Interruptions in Your Life: Lessons from Routine Activity Theory of Criminology". Proceedings of the 50th Hawaii International Conference on System Sciences. 5668-5677. 978-0-9981331-0-2.
• Ramesh Sharda, Dursun Delen, and Efraim Turban. (2017). "Business Intelligence Analytics, And Data Science: A Managerial Perspective". New York, NY: Pearson Publishing Company.
• Pankush Kalgotra and Ramesh Sharda. (2016). "Progression Analysis of Signals: Extending CRISP - DM to Stream Analytics". Proceedings of the 2016 IEEE International Conference on Big Data. 2880-2885. 978-1-4673-9005-7.
• Daniel Asamoah, Ramesh Sharda, Pankush Kalgotra, and Mark Ott. (2016). "Who Renews? Who Leaves? Advanced Churn Analysis Using Big Data Analytics Techniques in a Telecom Company". Journal of Information Systems Education. (27), 4, 223-232.
• Kalgotra Pankush, Ramesh Sharda, Bryan I. Hammer, and William Paiva. (2016). "Can a Smartphone be a Personal Doctor? Diagnosing Heart Conditions on Smartphones". Proceedings of the Oklahoma State University Research Week.
• Daniel Asamoah, Ramesh Sharda, Howard N. Rude, and Derek Doran. (2016). "RFID-based information visibility for hospital operations: exploring its positive effects using discrete event simulation". New York: Health Care Management Science. http://dx.doi.org/10.1007/s10729-016-9386-y.
• Amir Hassan Zadeh, Ramesh Sharda, and Narges Kasiri. (2016). "Inventory record Inaccuracy due to theft in production-invenotory systems". International Journal of Advanced Manufacturing Technology. http://dx.doi.org/10.1007/s00170-015-7433-3.
• Pankush Kalgotra, Ramesh Sharda, and Roger McHaney. (2016). "Understanding the Impact of Interruptions on Knowledge Work: An Exploratory Neuroimaging Study". Hawaii International Conference on System Sciences. (HICSS 49), 658-667.
• Shu Schiller, Michael Goul, Lakshmi Iyer, Ramesh Sharda, David Schrader, and Daniel Asamoah. (2015). "Build Your Dream (Not Just Big) Analytics Program". Communications of the Association for Information Systems. (37), 1, 40.
• Amir Hassan Zadeh and Ramesh Sharda. (2015). "Hawkes Point Processes for Social Media Analytics". Annals of Information Systems. (18), 51-66. http://dx.doi.org/10.1007/978-3-319-11575-7_5.
• Pankush Kalgotra, Ramesh Sharda, and Bryan I. Hammer. (2015). "Predicting Number of Patient Admission Days Using Disease Network". Proceedings of the INFORMS Healthcare.
• Daniel J. Power and Ramesh Sharda. (2015). "Business Intelligence and Analytics". Wiley Encyclopedia of Management: Management Information Systems. (7),
• Daniel J. Power, Ramesh Sharda, and Frada Burstein. (2015). "Decision Support Systems". Wiley Encyclopedia of Management: Management Information Systems. (7), http://dx.doi.org/10.1002/9781118785317.weom070211.
• Amir Hassan Zadeh and Ramesh Sharda. (2014). "A Framework for Recommender Systems Based on Hawkes Point Processes". Tampa, Florida: The Decision Sciences Institute, 2014 Annual Meeting Program.
• Pankush Kalgotra, Ramesh Sharda, and Goutam Chakraborty. (2014). "Association Mining of Brain Data: An EEG Study". Washington D.C.: SAS Global Forum 2014 Proceedings. Paper 1545-2014,
• Ramesh Sharda. (2014). "Exposure, Explore, Experience: Analytics Journey". Chattanooga, Tennessee: SHARP 2014.
• Amir Hassan Zadeh and Ramesh Sharda. (2014). "Hawkes Point Processes for Social Media Analytics". San Francisco: Informs Annual Meeting 2014. http://download.springer.com/static/pdf/583/chp%253A10.1007%252F978-3-319-11575-7_5.pdf?originUrl=http%3A%2F%2Flink.springer.com%2Fchapter%2F10.1007%2F978-3-319-11575-7_5&token2=exp=1477068814~acl=%2Fstatic%2Fpdf%2F583%2Fchp%25253A10.1007%25252F978-3-319-11575-7_5.pdf%3ForiginUrl%3Dhttp%253A%252F%252Flink.springer.com%252Fchapter%252F10.1007%252F978-3-319-11575-7_5*~hmac=6bf2a9901725c5dabb3e1ea502646539dbb4e687f800c68029bc32063512b916.
• Ramesh Sharda. (2014). "Panelist: Build Your Dream (Not Just Big) Analytics Program". Savannah, Georgia: AMCIS 2014 Proceedings. http://aisel.aisnet.org/cgi/viewcontent.cgi?article=3905&context=cais.
• Daniel Asamoah and Ramesh Sharda. (2014). "The Role of Peer-to-Peer Support on Electronic Social Networks for Chronic Disease Self-Management". Tampa, Florida: The Decision Sciences Institute, 2014 Annual Meeting Program.
• Ramesh Sharda. (2014). "Workshop on Recent Advances in Business Intelligence, Analytics and Analytics Platforms". Savannah, Georgia: AMCIS 2014 Proceedings.
• Amir Hassan Zadeh and Ramesh Sharda. (2014). "Modeling brand post popularity dynamics in online social networks ". Decision Support Systems. (65), September 2014, 59-68. http://dx.doi.org/10.1016/j.dss.2014.05.003.
• Pankush Kalgotra and Ramesh Sharda. (2014). " Neuroimaging Research in Social Science". Gmunden Retreat on NeuroIS 2014.
• Ramesh Sharda, Dursun Delen, and Efraim Turban. (2013). "Business Intelligence: A Managerial Perspective on Analytics". New Jersey: Prentice Hall. 3rd,
• Ramesh Sharda, Dursun Delen, and Efraim Turban. (2013). "Businesss Intelligence and Analytics: Systems for Decision Support". New Jersey: Prentice Hall. 10th Edition, 648.
• Jongsawas Chongwatpol and Ramesh Sharda. (2013). "Achieving Lean Objectives through RFID: A Simulation Based Assessment". Decision Sciences. (44), 2, 239-266. http://dx.doi.org/10.1111/deci.12007.
• Foad Mahdavi Pajouh, Dahai Xing, Sharethram Hariharan, Yingjue Zhou, Balabhaskar Balasundaram, Tieming Liu, and Ramesh Sharda. (2013). "Available-to-promise in practice: An application of analytics in the specialty steel bar products industry". Interfaces. (43), 6, 503-517. http://dx.doi.org/10.1287/inte.2013.0693.
• Ramesh Sharda, Daniel Asamoah, and N. Ponna. (2013). "Business Analytics: Research and Teaching Perspectives". Proceedings of the ITI 2013 35th International Conference on Information Technology Interfaces.
• Pankush Kalgotra, Goutam Chakraborty, and Ramesh Sharda. (2013). "Predictive Modeling in Sports Leagues: An Application in the Indian Premier League". SAS Global Forum 2013 Proceedings.
• Narges Kasiri and Ramesh Sharda. (2013). "Real Options and System Dynamics for Information Technology Investment Decisions: Application to RFID Adoption in Retail". ACM Transactions on Management Information Systems. (4), 3, 11:2 - 11:26. http://dx.doi.org/10.1145/2517309.
• Ramesh Sharda, Daniel Asamoah, and Natraj Ponna. (2013). "Research and Pedagogy in Business Analytics: Opportunities and Illustrative Examples". Journal of Computing and Information Technology. (21), 3, 171-182. http://dx.doi.org/10.2498/cit.1002194.
• Jongsawas Chongwatpol and Ramesh Sharda. (2013). "RFID-enabled Track and Traceability in Job-Shop Scheduling Environment ". European Journal of Operational Research. (227), 3, 453-463. http://dx.doi.org/10.1016/j.ejor.2013.01.009.
• Ashish Gupta, Han Li, and Ramesh Sharda. (2013). "Should I Send This Message? Understanding the Impact of Instant Messaging (IM) User Performance and Perceived Workload". Decision Support Systems. (55), 1, 135-145. http://dx.doi.org/10.1016/j.dss.2012.12.035.
• John Chinneck and Ramesh Sharda. (2013). "Computer Science and Operations Research Interfaces". Encyclopedia of Operations Research/Management Science, Springer. 2nd, 132-135. http://dx.doi.org/10.1007/978-1-4419-1153-7_145.
• Ashish Gupta, Ramesh Sharda, Yue Dong, Rohit Sharda, Daniel Asamoah, and Brian Pickerings. (2013). "Improving Rounding in Critical Care Environments through Management of Interruptions". Decision Support Systems. (55), 2, 516-527. http://dx.doi.org/10.1016/j.dss.2012.10.009.
• Ashish Gupta and Ramesh Sharda. (2013). "Improving the Science of Healthcare Delivery and Informatics using Modeling Approaches". Decision Support Systems (Forthcoming). (55), 2, 423-427. http://dx.doi.org/10.1016/j.dss.2012.10.001.
• Pankush Kalgotra, Ramesh Sharda, and Goutam Chakraborty. (2013). "Predictive modeling in sports leagues: An application in Indian Premier League". SAS Global Forum Proceedings 2013.
• Ramesh Sharda and David Biros. (2013). "Taking Research to Practice in Technology: Development of an Ammunition Multimedia Encyclopedia". Decision Line. (44), 1,
• Paras Agrawal and Ramesh Sharda. (2013). "Quantum Mechanics and Human Decision Making". Operations Research. (61), 1, 1-16. http://dx.doi.org/10.1287/opre.1120.1068.
• Ramesh Sharda, David Sikolia, Joseph Thomas, and Ramesh Sambasivan. (2012). "A Design Science Approach to Virtual World Implementation of Trade Fairs ". Pacific Asia Journal of the Association for Information Systems. (4), 2, 49-69. http://aisel.aisnet.org/pajais/vol4/iss2/4.
• Jongsawas Chongwatpol and Ramesh Sharda. (2012). "Evaluation of RFID for Information Visibility Based Job-Shop Scheduling". Decision Sciences Institute Conference.
• Joseph Barjis, Ashish Gupta, Ramesh Sharda, Tatiana Bouzdine-Chameeva, Peggy D. Lee, and Alexander Verbraeck. (2012). "Innovative Teaching Using Simulation and Virtual Environments". Interdisciplinary Journal of Information, Knowledge, and Management . (7), 237-255. http://www.ijikm.org/Volume7/IJIKMv7p237-255Barjis620.pdf.
• Amir Hassan Zadeh and Ramesh Sharda. (2012). "Modeling brand popularity dynamics in social media networks". Decision Sciences Institute Conference.
• Jason R. Nichols, David Biros, Ramesh Sharda, and Upton Shimp. (2012). "The Emergence of Organizational Process Liability as a Future Direction for Research on Technology Acceptance". International Journal of Social and Organizational Dynamics in Information Technology . (2), 4, http://dx.doi.org/10.4018/ijsodit.2012100101.
• Daniel Asamoah, Ramesh Sharda, and Satish Bukkapatnam. (2012). "The Value of RFID Tracking Systems for Inventory Management in Healthcare". Decision Sciences Institute Conference.
• Narges Kasiri, Ramesh Sharda, and W H Hardgrave. (2012). "A Balanced Scorecard for Item-Level RFID in the Retail Sector: A Delphi Study". European Journal of Information Systems. http://dx.doi.org/10.1057/ejis.2011.33.
• Narges Kasiri, Ramesh Sharda, and Daniel Asamoah. (2012). "Evaluating electronic health record systems: A system dynamics solution". Vista, CA: Simulation: Transactions of the Society of Modeling and Simulation International. (88), 6, 639-648. http://dx.doi.org/10.1177/0037549711416244.
• Dursun Delen, Ramesh Sharda, and . (2012). "Forecasting Financial Success of Hollywood Movies: A Comparative Analysis of Machine Learning Methods ". Rome: Artificial Neural Networks and Intelligent Information Processing Workshop (9th ICINCO Conferece) . 178-183.
• Syam Menon and Ramesh Sharda. (2011). "Data Mining". Encyclopedia of Operations Research/Management Science, Springer. 2nd, 191-194. http://dx.doi.org/10.1007/978-1-4419-1153-7_213.
• D. Schuff, D. Paradice, F. Burstein, D. Power, and Ramesh Sharda. (2011). "Decision Support: An Examination of the DSS Discipline". Annals of Information Systems. (14), 191-194. http://dx.doi.org/10.1007/978-1-4419-6181-5.
• Supavich Pengnate, Ramesh Sharda, David Biros, Michael Hass, and U. Shimp. (2011). "Mobile AME: A Handheld Application to Support Decision Making for Ammunition Personnel". Annals of Information Systems. (13), 2011, 319-336.
• Daniel J. Power, Frada Burstein, and Ramesh Sharda. (2011). "Reflections on the Past and Future of Decision Support Systems: Perspective of Eleven Pioneers". Annals of Information Systems. (14), 25-48. http://dx.doi.org/10.1007/978-1-4419-6181-5_2.
• Paras M. Agrawal and Ramesh Sharda. (2011). "Impact of frequency alignment of physical and information system inventories on out of stocks: A simulation study". Int. J. Production Economics. 1-11. http://dx.doi.org/10.1016/j.ijpe.2011.09.008.
• Dursun Delen, Bill C Hardgrave, and Ramesh Sharda. (2011). "The Promise of RFID-based Sensors in the Perishables Supply Chain". IEEE Wireless Communications. (18), 2, 82-88. http://dx.doi.org/10.1109/MWC.2011.5751300.
• J Lucca, Ramesh Sharda, J Ruffner, U Shimp, David Biros, and A Clower. (2011). "Ammunition Multimedia Encyclopedia (AME): A Case Study". Proceedings of the 44nd Hawaii International Conference on System Science.
• Jongsawas Chongwatpol and Ramesh Sharda. (2010). "Achieving Lean Initiative thru RFID: A Simulation Study". Proceedings of Decision Science Institute Conference .
• Pankush Kalgotra, Ramesh Sharda, and Julie M Croff. (2010). "Examining multimorbidity differences across racial groups: a network analysis of electronic medical records". Scientific Reports. (10), 13538.
• A. Gupta, Ramesh Sharda, and J. Barjis. (2010). "Introduction to Modeling and Simulating Knowledge, Enterprise, and Service Networks Minitrack". Kauai, Hawaii: Proceedings of Hawaii International Conference on Systems Sciences.
• J. Barjis, A. Gupta, and Ramesh Sharda. (2010). "Knowledge work and communication challenges in networked enterprises". Information Systems Frontiers. (13), 5, 615-619. http://dx.doi.org/10.1007/s10796-010-9240-6.
• Ramesh Sharda. (2010). "SNAP: A DSS to Analyze Network Service Pricing for State Networks". Decision Support Systems. (50), 1, 347-359. http://dx.doi.org/10.1016/j.dss.2010.05.009.
• A. Gupta, Ramesh Sharda, and R. Greve. (2010). "You've got email! Does it really matter to process emails now or later?". Information Systems Frontiers. (13), 5, 637-653. http://dx.doi.org/10.1007/s10796-010-9242-4.
• Efraim Turban, Ramesh Sharda, and Dursun Delen. (2010). "Decision Support and Business Intelligence Systems (9th Edition)". Upper Saddle River NJ: Prentice Hall. 9th, 0-13-610729-X.
• Efraim Turban, Ramesh Sharda, Dursun Delen, and David King. (2010). "Business Intelligence: A Managerial Approach (2nd Edition)". Prentice Hall. 978-0136100669.
• Dursun Delen and Ramesh Sharda. (2010). "Predicting the Financial Success of Hollywood Movies Using an Information Fusion Approach". Industrial Engineering Journal (a Turkish/English Journal for Industrial Engineers). (21), 1, 30-37. http://www.mmo.org.tr/resimler/dosya_ekler/c5b45ddb3ff1f62_ek.pdf.
• D.J. Power and Ramesh Sharda. (2009). "Decisions Support Systems". New York: Springer Handbook of Automation, Springer. 1539-1548.
• Jongsawas Chongwatpol and Ramesh Sharda. (2009). "Economic Analysis of 2D Barcode Versus RFID in Manufacturing: An Exploratory Study". New Orleans, Louisiana: Proceedings of Decision Science Institute Conference.
• Narges Kasiri and Ramesh Sharda. (2009). "Electronic Health Record Systems Investment Valuation: A System Dynamics Approach". AMCIS 2009 Proceedings. http://aisel.aisnet.org/cgi/viewcontent.cgi?article=1506&context=amcis2009.
• Ramesh Sharda and M. Henry. (2009). "Information Extraction from Interviews to Obtain Tacit Knowledge: A Text Mining Application". AMCIS 2009 Proceedings. http://aisel.aisnet.org/cgi/viewcontent.cgi?article=1291&context=amcis2009.
• Subramanian Iyer, Ramesh Sharda, David Biros, J. Lucca, and U. Shimp. (2009). "Organization of Lessons Learned Knowledge: A Taxonomy of Implementation". International Journal of Knowledge Management. (5), 3, 1-20. http://dx.doi.org/10.4018/978-1-60960-555-1.ch013.
• A. Gupta, Ramesh Sharda, and B. Greve. (2009). "Overcoming Email Addiction: Understanding the 'Leave Me Alone!' Approach". San Francisco, California: AMCIS 2009 Proceedings. http://aisel.aisnet.org/cgi/viewcontent.cgi?article=1127&context=amcis2009.
• G. Kannabirian, Ramesh Sharda, A. Gupta, and Rick Wilson. (2009). "Predictors of Effective IS Strategy Implementation: A Longitudinal Study of Indian Organizations". Asia-Pacific Business Review. (V), 2, 3-27. http://dx.doi.org/10.1177/097324700900500201.
• A. Gupta and Ramesh Sharda. (2009). "Simulating Knowledge Flow within Knowledge Networks". International Journal of Simulation and Process Modeling. 32-49.
• Dursun Delen and Ramesh Sharda. (2009). "Predicting the Financial Success of Hollywood Movies Using an Information Fusion Approach". OR/IE Conference.
• Supavich Pengnate, Ramesh Sharda, David Biros, and Michael Hass. (2009). "Mobile AME: A handheld application to support decision making for ammunition personnel". San Francisco, CA: of the 16th Americas Conference on Information Systems.
• Subramanian Iyer and Ramesh Sharda. (2009). "Prediction of Athletes Performance Using Neural Networks: An Application in Cricket Team Selection". Expert Systems with Applications. (43), 1, 5510-5522. http://dx.doi.org/10.1016/j.eswa.2008.06.088.
• Ramesh Sharda and A. Gupta. (2008). "Managing Email Overload in Organizations: Research Opportunities and Recent Results Research Perspective". The 3rd annual IEEE Conference on Automation Science and Engineering.
• A. Gupta and Ramesh Sharda. (2008). "SIMONE: A Simulator for Interruptions and Message Overload in Network Environments". International Journal of Simulation and Process Modeling. (4), 3/4, 237-247. http://dx.doi.org/10.1504/IJSPM.2008.023685.
• A. Gupta and Ramesh Sharda. (2008). "Simulating Email Flow within Knowledge Networks". Proceedings of the 4th International Workshop on Enterprise and Organizational Modeling and Simulation held in conjunction with the CASE ’08 Conference. https://www.researchgate.net/profile/Srini_Ramaswamy/publication/228932810_Mining_email_archives_and_simulating_the_dynamics_of_open-source_project_developer_networks/links/02e7e52ee732de75ca000000.pdf#page=37.
• A. Gupta and Ramesh Sharda. (2008). "Simulating, Visualizing, Gaming and Analyzing: Modeling Your way Towards Innovative Teaching Approaches". Proceedings of the 4th International Workshop on Enterprise and Organizational Modeling and Simulation held in conjunction with the CAiSE ’08 Conference.
• Narges Kasiri and Ramesh Sharda. (2008). "Some Now, Some Later? Selecting a "Lot Size" of Emails to Process at One Time". International Journal of Services Sciences. (1), 1, 69-82. http://dx.doi.org/10.1504/IJSSci.2008.017589.
• J. Barjis, A. Gupta, Ramesh Sharda, and P. Lee. (2008). "Using Simulation and Visualization for Innovative Teaching". Baltimore, Maryland: Proceedings of Decision Sciences Institute Meeting.
• Dursun Delen and Ramesh Sharda. (2008). "Artificial Neural Networks in Decision Support Systems". Springer-Verlag . 3540487123 .
• C.Y. Narasimha, M. Kamath, and Ramesh Sharda. (2007). "A Semi-Markov Decision Approach to E-Mail Management in a Knowledge Work Environment". The 3rd annual IEEE Conference on Automation Science and Engineering. http://dx.doi.org/10.1109/COASE.2007.4341796.
• Turban, Ramesh Sharda, Aronson, and King. (2007). "Business Intelligence: A Managerial Approach". Upper Saddle River, NJ: Prentice Hall. 1st,
• Turban, Aronson, Liang, and Ramesh Sharda. (2007). "Decision Support and Business Intelligence Systems". Upper Saddle River, NJ: Prentice Hall. 8th,
• U. Kulkarni, D. Power, and Ramesh Sharda. (2007). "Decision Support for Global Enterprises". New York: Springer. https://link.springer.com/book/10.1007/978-0-387-48137-1.
• A. Gupta and Ramesh Sharda. (2007). "Evaluation and Validation of Parameters for Computational Models". Proceedings of Decision Sciences Institute Meeting.
• D. Power and Ramesh Sharda. (2007). "Model-Driven Decision Support Systems: Concepts and Research Directions". Decision Support Systems. (43), 3, 1044-1061. http://dx.doi.org/10.1016/j.dss.2005.05.030.
• A. Gupta, Ramesh Sharda, and M. Kamath. (2007). "Modeling Email Overload within Service Organizations". Proceedings of the Decision Sciences Institute Mini Conference on Service Science.
• Dursun Delen, B.C. Hardgrave, and Ramesh Sharda. (2007). "RFID for Better Supply-Chain Management through Enhanced Information Visibility". Productions and Operations Management. (16), 5, 613-624. http://dx.doi.org/10.1111/j.1937-5956.2007.tb00284.x.
• R.A. Greve, Ramesh Sharda, M. Kamath, and Ashish Gupta. (2007). "The Email Strategy Investigation Model (eSIM): A DSS for Analysis of Email Processing Strategies". DOI: 10.1007/978-0-387-48137-1_7 : Annals of Information Systems, Springer. (2), 113-138. http://dx.doi.org/10.1007/978-0-387-48137-1_7.
• D. Power, Ramesh Sharda, and U. Kulkarni. (2007). "Understanding Decision Support Systems for Global Enterprises". DOI: 10.1007/978-0-387-48137-1_1 : Annals of Information Systems. (2), 3-14. http://dx.doi.org/10.1007/978-0-387-48137-1_1.
• M. Henry, Ramesh Sharda, and Dursun Delen. (2007). "Using Neural Networks to Forecast Box Office Success". 13th Americas Conference on Information Systems. http://aisel.aisnet.org/cgi/viewcontent.cgi?article=1852&context=amcis2007.
• O. Turetken and Ramesh Sharda. (2007). "Visualization of Web Spaces: State of the Art and Future Directions". The DATA BASE for Advances in Information System. (38), 3, 51-81. http://dx.doi.org/10.1145/1278253.1278260.
• Dursun Delen, Ramesh Sharda, and P. Kumar. (2007). "Movie Forecast Guru: A Web-Based DSS for Hollywood Managers". Decision Support Systems. (43), 4, 1151-1170. http://dx.doi.org/10.1016/j.dss.2005.07.005.
• Narges Kasiri and Ramesh Sharda. (2007). "Prioritizing and Scheduling Email Processing: An Application of the Capacitated Lot Sizing Problem". Decision Science Institute Mini Conference on Services Sciences,.
• A. Gupta, Ramesh Sharda, N. Ducheneaut, J.L. Zhao, and R. Weber. (2006). "E-Mail Management: A Techno-Managerial Research Perspective". Communications of the Association for Information Systems. (17), 43, 941-961. http://pdf.aminer.org/000/326/979/e_mail_management_a_techno_managerial_research_perspective.pdf.
• Ramesh Sharda and Dursun Delen. (2006). "Predicting Box Office Success of Motion Pictures with Neural Networks". Expert Systems with Applications. (30), 243-254. http://dx.doi.org/10.1016/j.eswa.2005.07.018.
• Ramesh Sharda and Narges Kasiri. (2006). "Scheduling Email Processing Using Capacitated Single-Item Inventory Model". Proceedings of Decision Sciences Institute Conference.
• Ramesh Sharda and Dursun Delen. (2006). "How to Predict a Movie’s Success at the Box Office". FORESIGHT: The International Journal of Applied Forecasting. (5), http://ideas.repec.org/a/for/ijafaa/y2006i5p32-36.html#cites, 32-36. http://ideas.repec.org/a/for/ijafaa/y2006i5p32-36.html.
• Dursun Delen, Ramesh Sharda, and M. Bessonov. (2006). "Identifying Significant Predictors of Injury Severity in Traffic Accidents Using a Series of Artificial Neural Networks". Accident Analysis & Prevention. (38), 3, 434-444. http://www.sciencedirect.com/science/article/pii/S0001457505001879.
• A. Gupta, Ramesh Sharda, R. Greve, M. Kamath, and M. Chinnaswamy. (2005). "An Analysis of Email Response Policies Under Different Arrival Patterns". Proceeding of the Tenth INFORMS Conference On Information Systems and Technology.
• G. Scheets, Mark Weiser, and Ramesh Sharda. (2005). "Changing a Standard Telecommunications Lab to a Same Time Different Place Virtual Lab Format: Techniques Utilized and Lessons Learned". IEEE Transactions on Education. (48), 4, 713-718. http://citeseerx.ist.psu.edu/viewdoc/download?rep=rep1&type=pdf&doi=10.1.1.131.4296.
• O. Turetken and Ramesh Sharda. (2005). "Clustering-Based Visual Interfaces for Presentation of Web Search Results: An Empirical Investigation". Information Systems Frontiers. (7), 3, 271-294. http://dx.doi.org/10.1007/s10796-005-2770-7.
• Nicholas Romano, Ramesh Sharda, and J. Lucca. (2005). "Computer-Supported Collaborative Learning Requiring Immersive Presence (CSCLIP): An Introduction". Information Systems Frontiers. (7), 2, 5-12. ISSN 1387-3326.
• Ramesh Sharda, A. Gupta, N. Ducheneaut, L. Zhao, and R. Weber. (2005). "Email Management: A Techno-Managerial Research Perspective". Proceedings of International Conf. on Information Systems. http://aisel.aisnet.org/cgi/viewcontent.cgi?article=1282&context=icis2005.
• A. Gupta, Ramesh Sharda, R. Greve, M. Kamath, and M. Chinnaswamy. (2005). "How Often Should We Check our Email? Balancing Interruptions and Quick Response Times". San Francisco, California: Conference on Information Systems and Technology (CIST).
• C. Yadati, M. Kamath, Ramesh Sharda, and A. Gupta. (2005). "Mitigating the Detrimental Effects of E-mail Overload: A Stochastic Optimization Approach". San Francisco, CA: INFORMS Annual Meeting.
• R. Greve, Ramesh Sharda, M. Kamath, and Amit Kadam. (2005). "Modeling and Analysis of Email Management for Improved Customer Relationship Management". International Journal of Simulation & Process Modeling. (1), 3/4, 125-137. http://dx.doi.org/10.1504/IJSPM.2005.007643.
• A. Gupta, Ramesh Sharda, R. Greve, M. Kamath, and M. Chinnaswamy. (2005). "On Email Overload and Interruptions". Norman, Oklahoma: Big XII IS Research Symposium.
• R. Greve, Ramesh Sharda, M. Kamath, and A. Gupta. (2005). "Modeling and Simulation of Email Processing Strategies". Proceedings of Decision Sciences Institute Conference.
• J. Lucca, Ramesh Sharda, Nicholas Romano, and Mark Weiser. (2004). "An Assessment of E-Learning Technologies to Support Telecommunications Laboratory Learning Objectives". Proceedings of the Thirty-Seventh Hawaii International Conference on Systems Sciences. 10014. ISBN: 0-7695-2056-1.
• A. Gupta, Ramesh Sharda, R. Greve, and M. Kamath. (2004). "An Exploratory Analysis of Email Processing Strategies". Proceedings of the Decision Sciences Institute Meeting.
• O. Turetken and Ramesh Sharda. (2004). "Development of a Fisheye-Based Information Search Processing Aid (FISPA) For Managing Information Overload in the Web Environment". Decision Support Systems. (37), 3, 415-434. http://dx.doi.org/10.1016/S0167-9236(03)00047-2.
• C.M. Sleezer, M.A. Gularte, G. Scheets, Mark Weiser, and Ramesh Sharda. (2004). "Formative Evaluation of a CSCLIP Lesson". Academic Exchange Quarterly. (8), 4, 214-218. http://dialnet.unirioja.es/servlet/articulo?codigo=3442711.
• Ramesh Sharda, Nicholas Romano, J. Lucca, Mark Weiser, G. Scheets, J.M. Chung, and C.M. Sleezer. (2004). "Foundation for the Study of Computer Supported Collaborative Learning Requiring Immersive Presence (CSCLIP)". Journal of Management Information Systems. (20), 4, 31-63. ISSN 0742-1222..
• A. Gupta, Ramesh Sharda, R. Greve, and M. Kamath. (2004). "Scheduling Email Communication to Reduce Information Overload and Interruptions". Ames: Big XII Research Symposium.
• O. Turetken, D. Schuff, Ramesh Sharda, and T. Ow. (2004). "Supporting Systems Analysis and Design Through Fisheye Views". Communications of the ACM. (47), 9, 72-77. http://dx.doi.org/10.1145/1015864.1015866.
• J. Lucca, Nicholas Romano, and Ramesh Sharda. (2003). "An Overview of Systems Enabling Computer Supported Collaborative Learning Requiring Immersive Presence (CSCLIP)". Proceedings of the Thirty-Sixth Hawai'i Intentional Conference on System Sciences. (1), 5.1.
• M. Al-Ahmadi and Ramesh Sharda. (2003). "Automating Ontology Generation for Information Systems Research using GHSOM". Proceedings of the Americas Conference on Information Systems. http://aisel.aisnet.org/cgi/viewcontent.cgi?article=1848&context=amcis2003.
• R. Greve and Ramesh Sharda. (2003). "Don’t Call, Send an Email Instead: A Modeling Approach to Enhance the Customer Contact Center’s Role in Customer Relationship Management". Proceedings of the Decision Sciences Institute Meeting.
• S. Chinburg, Ramesh Sharda, and Mark Weiser. (2003). "Establishing the Business Value of Network Security Using Analytical Hierarchy Process". Creating Business Value with Information Technology: Challenges and Solutions, Irm Press. 203-219. http://dx.doi.org/10.4018/978-1-59140-038-7.ch009.
• J. Lucca, Ramesh Sharda, and Mark Weiser. (2002). "Coordinating Technologies for Knowledge Management in Virtual Organizations". Mobile Computing: Implementing Pervasive Information and Communications Technology. 31-51. http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=843267.
• R. Greve, Ramesh Sharda, and M. Kamath. (2002). "Modeling E-mail Overload Using Queuing Networks: An Illustrative Example". Proceedings of the Decision Sciences Institute Meeting.
• Ramesh Sharda, Nicholas Romano, J. Lucca, G. Scheets, and Mark Weiser. (2002). "Panel: Computer Supported Collaborative Learning Requiring Immediate Presence (CSCLIP): Introduction And Research Opportunities". Proceedings of the Eighth Americas Conference on Information Systems. 2449-2451.
• J. Shim, M. Warkentin, J. Courtney, D. Power, Ramesh Sharda, and C. Carlsson. (2002). "Past, Present, and Future of Decision Support Technology". Decision Support Systems. (33), 111-126. http://dx.doi.org/10.1016/S0167-9236(01)00139-7.
• J. Chung, K. Ramasamy, V. Kotikalapudi, Z. Mulla, G. Thiyagarjan, Ramesh Sharda, Mark Weiser, and G. Scheets. (2002). "Virtual Laboratory Education for Persons With Vision Disabilities". Tulsa, Oklahoma: Proceedings of IEEE MWSCAS Conference. http://dx.doi.org/10.1109/MWSCAS.2002.1186937.
• Ramesh Sharda and R. Sambasivan. (2002). "Virtual Trade Fairs: An Emerging Internet Application". The E-Business Handbook, CRC Press. 153-165.
• S. Chinburg, Ramesh Sharda, and Mark Weiser. (2002). "“Establishing the Business Value of Network Security Using Analytical Hierarchy Process,” in Creating Business Value with Information Technology: Challenges and Solutions". Dordrecht: Kluwer Publishers.
• Ramesh Sharda, Nicholas Romano, and J. Lucca. (2001). "A Conceptual Framework for Computer Supported Collaborative Learning Requiring Immediate Presence (CSCLIP)". Human Resource Development in a Networked World, Springer. 185-209. http://dx.doi.org/10.1007/978-1-4615-0827-4_9.
• S. Menon and Ramesh Sharda. (2001). "Data Mining". Encyclopedia of Research/Operations Management Science, Wiley. 191-194.
• Ramesh Sharda. (2001). "Operations Research and Computer Science Interfaces". Encyclopedia of Operations/Research Management Science, Wiley. 2nd, 131-135.
• O. Turetken and Ramesh Sharda. (2001). "Visualization Support for Managing Information Overload in the Web Environment". Proceedings of the 22nd International Conference on Information Systems (ICIS). http://aisel.aisnet.org/cgi/viewcontent.cgi?article=1104&context=icis2001.
• Ramesh Sharda. (1999). "Research Opportunities in Knowledge Networking". Charlotte, NC: Proceedings of the 20th Annual International Conference on Information Systems.
• S. Menon and Ramesh Sharda. (1999). "Digging Deeper: Data Mining Update". OR/MS Today. (25), 3,
• Ramesh Sharda, H. Amato, and E. Meany. (1999). "Forecasting Gate Receipts Using Neural Networks and Rough Sets". Athens, Greece: Proceedings of the International Decision Sciences Institute Meeting.
• Ramesh Sharda, Gary Frankwick, and O. Turetken. (1999). "Group Knowledge Networks: A Framework and an Implementation". Information Systems Frontiers, Springer. (1), 3, 221-240. http://dx.doi.org/10.1023/A:1010098227671.
• K. Molnar and Ramesh Sharda. (1999). "OSI- Based Model for the Justification of Telecommunications Investment: A Conceptual Framework". Idea Group Publishing: Measuring Information Technology Investment Payoff: Contemporary Approaches. 223-247. ISBN:1-878-28942-X.
• O. Turetken and Ramesh Sharda. (1999). "WWW Site Design Using Fisheye Views: An Empirical Study". Milwaukee, WI: Proceedings of the Association for Information Systems Meeting. http://aisel.aisnet.org/cgi/viewcontent.cgi?article=1642&context=amcis1999.
• T. Ow and Ramesh Sharda. (1998). "A Fisheye View Based System for Identifying Telecommunications Investment Decision Factors". Baltimore, Maryland: Proceedings of the Association for Information Systems Meeting. http://aisel.aisnet.org/cgi/viewcontent.cgi?article=1749&context=amcis1998.
• Ramesh Sharda and R. Rampal. (1998). "Neural Networks and Management Science/Operations Research: A Bibliographic Essay". Encyclopedia of Library and Information Science, CRC Press. (61), 24, 247-259.
• Ramesh Sharda and C. Shuffield. (1998). "New Generation of Interdisciplinary Graduate Programs: Our Experiences with a New MS in Telecommunications Management Program". Dhahran, Saudi Arabia: Proceedings of the Conference on Administrative Sciences: New Horizons and Roles in Development.
• Ramesh Sharda, C. Shuffield, and Rick Wilson. (1998). "Telecommunications Management". OR/MS Today. (25), 5,
• Keith Willett and Ramesh Sharda. (1997). "Alternative Control Policies for Water Quality Management: An Experimental Economics Aprroach". Environmental Planning and Management . (40), 4, 507-528. http://dx.doi.org/10.1080/09640569712065.
• Rick Wilson and Ramesh Sharda. (1997). "Business Failure Prediction Using Neural Networks". Encyclopedia of Computer Science and Technology, Marcel Dekker, Inc.. (37), 22, 193-204.
• S. Barr and Ramesh Sharda. (1997). "Effectiveness of Decision Support Systems: Development or Reliance Effect?". Decision Support Systems, Elsevier. (21), 2, 133-146. http://dx.doi.org/10.1016/S0167-9236(97)00021-3.
• B. Pawar and Ramesh Sharda. (1997). "Obtaining Business Intelligence on the Internet". Long Range Planning, Elsevier. (30), 1, 110-121. http://dx.doi.org/10.1016/S0024-6301(96)00100-8.
• Keith Willett, T. Zhang, W.F. McTernan, Ramesh Sharda, and E. Rossman. (1997). "Regulation of Pesticide Discharge into Surface and Groundwater Under Uncertainty: A Model for Environmental Risk Profitability Tradeoffs and Policy Selection". Environmental Modeling and Assessment, Springer. (2), 211-220. http://dx.doi.org/10.1023/A:1019005226304.
• D. Steiger and Ramesh Sharda. (1996). "Analyzing Mathematical Models with Inductive Learning Networks". European Journal of Operations Research, Elsevier. (93), 2, 387-401. http://dx.doi.org/10.1016/0377-2217(96)00036-7.
• Ramesh Sharda. (1996). "Computer Science and Operations Research". Encyclopedia of Operations Research and Management Science, Kluwer Academic Publishers. 103-106. https://books.google.com/books?hl=en&lr=&id=bpXfBwAAQBAJ&oi=fnd&pg=PR31&dq=Encyclopedia+of+Operations+Research+and+Management+Science,+Kluwer+Academic+Publishers&ots=72iRnydACm&sig=YY96grXgycJU1U1LD09RyqnMBHI#v=onepage&q=sharda&f=false.
• Ramesh Sharda and D. Steiger. (1996). "Inductive Model Analysis Systems: Enhancing Model Analysis in Decision Support Systems". Information Systems Research. (7), 3, 328-341. http://dx.doi.org/10.1287/isre.7.3.328.
• Ramesh Sharda and Rick Wilson. (1996). "Neural Network Experiments in Business Failures Prediction: A Review of Predictive Performance Issues". International Journal of Computational Intelligence and Organizations. (1), 2, 107-117.
• Ramesh Sharda and J. Wang. (1996). "Neural Networks and Operations Research/Management Sciences (Editorial)". European Journal of Operational Research. (93), 2, 227-229. http://dx.doi.org/10.1016/0377-2217(96)00032-X.
• K. Molnar and Ramesh Sharda. (1996). "Using the Internet for Knowledge Acquisition in Expert Systems Development: A Case Study". Journal of Information Techonology, Palgrave Macmillan. (11), 3, 223-234. http://dx.doi.org/10.1080/026839696345270.
• J. Wingender and Ramesh Sharda. (1995). "A Goal Programming Approach to Hedging a Portfolio with Financial Futures: An Empirical Test". Advances in Mathmatical Programming and Financial Planning, JAI Press. (4), 223-249.
• Ramesh Sharda and G. Rampal. (1995). "Algebraic Modeling Languages on PCs". OR/MS Today. (22), 3, 58-63.
• Ramesh Sharda. (1995). "Internet Delivers Interactive Journal". OR/MS Today. (22), 1, 60-61.
• Ramesh Sharda. (1995). "Linear Programming Solver Software for Personal Computers: 1995 Report". OR/MS Today. (22), 5, 49-57.
• N. Dalal and Ramesh Sharda. (1995). "The Emerging Distributed Information Systems Infrastructure: Some Implications for IS Research and Teaching". Pittsburgh, PA: Proceedings of the First Americas Conference on Information Systems. http://aisel.aisnet.org/cgi/viewcontent.cgi?article=1188&context=amcis1995.
• Ramesh Sharda and D. Steiger. (1995). "Using Artificial Intelligence to Enhance Model Analysis". The Impact of Emerging Technologies on Computer Science and Operations Research, Springer. 263-279. http://dx.doi.org/10.1007/978-1-4615-2223-2_13.
• Keith Willett and Ramesh Sharda. (1994). "Analyzing Interest Group Preferences: An Application of the Analytic Hierarchy Process". Water Quantity - Quality Management and Conflict Resolution, Greenwood Publishing Group, Inc. 453-468.
• Rick Wilson and Ramesh Sharda. (1994). "Bankruptcy Prediction Using Neural Networks". Decision Support Systems, Elsevier. (11), 545-557. http://dx.doi.org/10.1016/0167-9236(94)90024-8.
• Ramesh Sharda and V. Daita. (1994). "Internet Information Retrieval Tools". OR/MS Today. (21), 1, 38-39.
• Ramesh Sharda. (1994). "Neural Networks for the MS/OR Analyst: An Application Bibliography". Interfaces. (24), 2, 116-1130. http://dx.doi.org/10.1287/inte.24.2.116.
• Ramesh Sharda and J. Wingender. (1993). "A Multi-objective Approach to Foreign Currency Exposure Management". Advances in Mathematical Programming and Financial Planning. (3), 193-209.
• Ramesh Sharda. (1993). "Electronic Communication Among OR/MS Professionals". ORSA/CSTS Newsletter. (14), 1, 6-7.
• L. Hamm, W. Brorsen, and Ramesh Sharda. (1993). "Futures Trading with a Neural Network". Proceedings of NCR 134 Conference. http://www.farmdoc.illinois.edu/nccc134/conf_1993/pdf/confp25-93.pdf.
• D. Steiger, Ramesh Sharda, and B. LeClaire. (1993). "Graphical Interfaces for Network Modeling: A Model Management Perspective". ORSA Journal on Computing . (5), 3, 275-291. http://dx.doi.org/10.1287/ijoc.5.3.275.
• Rick Wilson and Ramesh Sharda. (1993). "Knowledge Acquisition in Expert Systems and Neural Networks: The Case of Packer Selection in Oil Well Design". Neural Networks in Design and Manufacturing, World Scientific Pub Co Inc . 121-133. ISBN:981-02-1281-X.
• Ramesh Sharda. (1993). "Linear and Discrete Optimization and Modeling Software: A Resource Handbook". Atlanta, GA: Lionhart Publishing Company.
• D. Steiger and Ramesh Sharda. (1993). "LP Modeling Languages for Personal Computers: A Comparison". Annals of Operations Research, Springer. (43), 1-4, 195-216. http://dx.doi.org/10.1007/BF02025017.
• M.S. Sodhi and Ramesh Sharda. (1993). "More Forums for Electronic Communication Among OR/CS Professionals". ORSA/CSTS Newsletter. (14), 2, 6-28.
• Rick Wilson and Ramesh Sharda. (1993). "Performance Comparison Issues in Neural Network Experiments for Classification Problems". Proceedings of the 26th Hawaii International Conference on Systems Sciences. http://dx.doi.org/10.1109/HICSS.1993.284245.
• Parsons and Ramesh Sharda. (1993). "Predicting Code Quality with Software Metrics: A Neural Network Experiment". Proceedings of the 7th OK Symposium on Artificial Intelligence. 28-34.
• O. Balci, Ramesh Sharda, and S. Zenios. (1992). "Computer Science and Operations Research: New Developments in Their Interfaces". Pergamon Press. https://books.google.com/books?hl=en&lr=&id=hkWjBQAAQBAJ&oi=fnd&pg=PP1&dq=Computer+Science+and+Operations+Research:+New+Developments+in+Their+Interfaces&ots=VzEOedrV1b&sig=-izBsKe7fBAC2Pg2F3MlyoFdX6A#v=onepage&q=Computer%20Science%20and%20Operations%20Research%3A%20New%20Developments%20in%20Their%20Interfaces&f=false.
• Ramesh Sharda and R. Patil. (1992). "Connectionist Approach to Time Series Prediction: An Empirical Test". Journal of Intelligent Manufacturing, Springer. (3), 317-323. http://dx.doi.org/10.1007/BF01577272.
• J. Cochran and Ramesh Sharda. (1992). "Development of an Intelligent DSS for the Financial Analysis of Purchase Agreements: A Case Study". DSS-92 Transactions, Inst Management Sciences . 47-50.
• D. Steiger, Ramesh Sharda, and B. LeClaire. (1992). "Functional Description of a Graph-Based Interface for Network Modeling". Computer Science and Operations Research: New Developments in Their Interfaces, Pergamon Press. 213-230. https://books.google.com/books?hl=en&lr=&id=hkWjBQAAQBAJ&oi=fnd&pg=PA213&dq=related:Mx8uQv6flq4J:scholar.google.com/&ots=VzENheuS1b&sig=0wGTTAbgy8vIpEe7seuRZALM-9c#v=onepage&q&f=false.
• K. Nygard, R. Ficek, and Ramesh Sharda. (1992). "Genetic Algorithms". OR/MS Today. (19), 4, 28-34.
• Ramesh Sharda. (1992). "Linear Programming Software for Personal Computers: 1992 Survey". OR/MS Today. (19), 3, 50-51.
• Ramesh Sharda. (1992). "Neural Nets for Operations Research". Intelligent Systems Report, Lionheart Publishing, Inc. . (9), 6, 14-15.
• Rick Wilson and Ramesh Sharda. (1992). "Neural Networks". OR/MS Today. (19), 4, 36-42.
• Ramesh Sharda and D. Steiger. (1991). "Advances in Modeling Languages for Mathematical Programming Software". . 61-78.
• J. Cochran, Ramesh Sharda, and B. Wheeler. (1991). "An Intelligent Decision Support System for the Financial Analysis and Management Control of Purchase Agreements". Proceedings of the World Congress on Expert Systems.
• Ramesh Sharda, J. Cheung, and J. Cochran. (1991). "Expert Systems and Neural Networks: Techniques and Applications". Elsevier.
• B.C. Wheeler and Ramesh Sharda. (1991). "INFORMEX: An Expert System to Enhance Information Presentation". Knowledge-Based Systems and Neural Networks: Techniques and Applications. 99-115. https://scholarworks.iu.edu/dspace/handle/2022/21036.
• Rick Wilson, Ramesh Sharda, and M. Odom. (1991). "Predicting Firm Failure: Neural Network vs. a Discriminant Analysis Approach". Proceedings of the Oklahoma Symposium on Artificial Intelligence.
• Ramesh Sharda. (1991). "Statistical Applications of Neural Networks". Intelligent Systems Report, Lionheart Publishing, Inc. . (8), 4, 12-13.
• Keith Willett and Ramesh Sharda. (1991). "Using the AHP in Water Resources Planning: Selection of Flood Control Projects". Socio-Economic Planning Sciences, Elsevier. (25), 2, 103-112. http://dx.doi.org/10.1016/0038-0121(91)90008-F.
• D. Steiger and Ramesh Sharda. (1991). "Neural Networks and Event Forecasting for Asset Allocation". Proceedings of the Oklahoma Symposium on Artificial Intelligence.
• Ramesh Sharda. (1990). "A Closer Look at Neural Chips". Neural Network News. (2), 7, 1-3.
• M. Odom and Ramesh Sharda. (1990). "A Neural Network for Bankruptcy Prediction". San Diego, CA: Proceedings of the International Joint Conference on Neural Networks. II-163-168. http://dx.doi.org/10.1109/IJCNN.1990.137710.
• Ramesh Sharda. (1990). "A Neural Network for Selecting a Forecasting Technique". Neural Network News. (2), 5, 7-8.
• M. Odom and Ramesh Sharda. (1990). "A Neural Network Model for Bankruptcy Prediction ". Neural Networks in Finance and Investing, Probus Publishing. 177-186. http://dx.doi.org/10.1109/IJCNN.1990.137710.
• A. Dixon and Ramesh Sharda. (1990). "An Integration of Software Tools in Developing a Multiple Criteria Decision Support System on a Microcomputer". Proceedings of the ACM Symposium on Personal and Small Computers. http://dx.doi.org/10.1145/99412.99473.
• B. LeClaire and Ramesh Sharda. (1990). "An Object-Oriented Architecture for Decision Support Systems". Austin, TX: Proceedings of the ISDSS Meeting. 567-586.
• Ramesh Sharda. (1990). "Business Applications at IJCNN-90". Neural Network News. (2), 8, 12.
• Ramesh Sharda. (1990). "IJCNN-90: Application Highlights". Neural Network News. (2), 1, 4.
• R. Patil and Ramesh Sharda. (1990). "Inexpensive Neural Net Software Simulators". Neural Network News. (2), 3, 12.
• J. Llewellyn and Ramesh Sharda. (1990). "Linear Programming Software for PCs: 1990 Survey". OR/MS Today. (17), 5, 35-47.
• R. Patil and Ramesh Sharda. (1990). "Neural Networks as Forecasting Experts: An Empirical Test". Washington, D.C.: Proceedings of the IJCNN Meeting. II-491-493.
• J. Oberstone and Ramesh Sharda. (1990). "Test Bank to Accompany Management Science by Oberstone". West Publishing.
• R. Patil and Ramesh Sharda. (1989). "A Test of Forecasting Using Backpropagation". Proceedings of the Oklahoma Symposium on Artificial Intelligence. 249-255.
• Ramesh Sharda and M. El-Tayeb. (1989). "An Adaptive Control Model for Single-Reservoir Operation". Dynamic Programming for Optimal Water Resources Systems Analysis. 316-328. http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.469.3007&rep=rep1&type=pdf#page=91.
• Ramesh Sharda, B. Golden, E. Wasil, O. Balci, and W. Stewart. (1989). "Impacts of Recent Computer Advances on Operations Research". Elsevier Science Publishers. http://interval.louisiana.edu/preprints/scans_of_older_papers/1989_Williamsburg_introductory_review.pdf.
• E. Wasil, B. Golden, and Ramesh Sharda. (1989). "Mathematical Programming Software for the Microcomputer: Recent Advances, Comparisons and Trends". Impact of Recent Advances in Computers on Operations Research. 263-272.
• Ramesh Sharda. (1989). "Neural Networks as Forecasting Experts". Neural Network News. (1), 3, 8-9.
• Keith Willett and Ramesh Sharda. (1988). "A Dynamic Multi-Market Equilibrium Model for the Economic Analysis of Pollution Control Policies". Environment and Planning A. (20), 391-405. http://dx.doi.org/10.1068/a200391.
• Ramesh Sharda. (1988). "A Review of AUTOCAST". OR/MS Today. (15), 2, 22-24.
• Keith Willett and Ramesh Sharda. (1988). "Competing Demands for Water Resources: A Dynamic Joint Maximization Model". Resources and Energy. (10), 135-159. http://dx.doi.org/10.1016/0165-0572(88)90017-5.
• Ramesh Sharda, S. Barr, and J. McDonnell. (1988). "Decision Support Systems Effectiveness: A Review and an Empirical Test". Management Science. (34), 2, 139-159. http://dx.doi.org/10.1287/mnsc.34.2.139.
• Ramesh Sharda. (1988). "Mathematical Programming on Microcomputers: Directions in Performance and User Interface". Mathematical Models for Decision Support. 279-294. ISBN: 0-387-50084-7.
• Ramesh Sharda. (1988). "The State of the Art of Linear Programming on Personal Computers". Interfaces. (18), 4, 49-58. http://dx.doi.org/10.1287/inte.18.4.49.
• Ramesh Sharda, K. D. Willett, and P. Chiang. (1988). "WQM: A Water Quality Management Simulation Game". Simulation and Games. (19), 1, 27-41. http://dx.doi.org/10.1177/003755008801900102.
• M. El-Tayeb and Ramesh Sharda. (1987). "A Comparison of Some Reservoir Operation Formulations". International Journal of Hydroeletric Energy. (5), 2, 107-124.
• Ramesh Sharda. (1987). "A Simple Model to Estimate Bounds on Total Market Gains and Losses for a Particular Stock". Interfaces. (17), 5, 43-50. http://dx.doi.org/10.1287/inte.17.5.43.
• Bynum and Ramesh Sharda. (1987). "Linear Programming Systems on Microcomputers: An Empirical Test". Proceedings of the National DSI Meeting.
• B. LeClaire, Ramesh Sharda, and M. Locks. (1987). "On the Implementation of a Binary Integer Programming Algorithm on a Microcomputer". Proceedings of the National DSI Meeting.
• K. D. Willett, Ramesh Sharda, and P. Chiang. (1987). "On the Solution of Spatial Competitive Market Equilibria Policy Models". Management Science and Policy Analysis. (5), 1, 10-28.
• Ramesh Sharda. (1986). "A Summary of OR/MS Software on Microcomputers". Annals of Operations Research. (5), 613-630. http://dx.doi.org/10.1007/BF02023614.
• Ramesh Sharda and C. Somarajan. (1986). "Comparative Performance of Advanced Microcomputer LP Systems". Computers and Operations Research. (13), 2/3, 131-147. http://dx.doi.org/10.1016/0305-0548(86)90004-3.
• Ramesh Sharda and K. D. Musser. (1986). "Financial Futures Hedging via Goal Programming ". Management Science. (32), 8, 933-947. http://dx.doi.org/10.1287/mnsc.32.8.933.
• Ramesh Sharda and J. Rock. (1986). "Forecasting Software for Microcomputers". Computers and Operations Research. (13), 2/3, 191-203. http://dx.doi.org/10.1016/0305-0548(86)90008-0.
• Ramesh Sharda, E. A. Wasil, and B. L. Golden. (1986). "Mathematical Programming Software for Microcomputers: A Survey". Impacts of Microcomputers on Operations Research. 47-54.
• Ramesh Sharda. (1986). "Optimization Using Spreadsheets on a Microcomputer". Annals of Operations Research. (5), 599-612. http://dx.doi.org/10.1007/BF02023613.
• C. Medley, Ramesh Sharda, and K. Gupta. (1985). "Investigation of Alternative Trading Rules in Commodities Market". Proceedings of the National AIDS Meeting. 148.
• Ramesh Sharda. (1985). "Review of SmartForecasts". OR/MS Today. (12), 1, 32-34.
• C.C. Bolaki and Ramesh Sharda. (1984). "CTSS: A Commodity Trading Simulation System". . (11), 198-201. https://absel-ojs-ttu.tdl.org/absel/index.php/absel/article/view/2247/2216.
• J.C. McDonnell and Ramesh Sharda. (1984). "Effectiveness and Efficiency of Decision Support Systems". Proceedings of the National AIDS Meeting.
• Ramesh Sharda. (1984). "Linear Programming on Microcomputers: A Survey". Interfaces. (14), 6, 27-38. http://dx.doi.org/10.1287/inte.14.6.27.
• K.D. Musser and Ramesh Sharda. (1983). "A Goal Programming Approach to Hedging in Future Markets". Proceedings of the National AIDS Meeting.
• Ramesh Sharda and J.W. Gentry. (1983). "Competitive Bidding Models in IFPS". Transactions of DSS-83. 58-67.
• L.D. Arthur and Ramesh Sharda. (1983). "Projecting Enrollment Shifts in a University". Proceedings of SWAIDS Conference. 99-101.
• Ramesh Sharda. (1983). "Quantitative Curricula in the Southwestern Business Schools". Proceedings of SWAIDS Conference. 58.
• J.W. Gentry and Ramesh Sharda. (1983). "Teaching Competitive Bidding Using A DSS Generator". Proceedings of ABSEL Conference. 134-138. https://absel-ojs-ttu.tdl.org/absel/index.php/absel/article/view/2303/2272.
• J.W. Gentry, Ramesh Sharda, and R. Eatherly. (1982). "Problems Faced in Implementing a Competitive Bidding Model". Proceedings of AIDS Conference.

Presentations

• Network Science and Health Analytics
  OU Industrial and Systems Engineering Grad Seminar Series
  University of Oklahoma
  Norman, OK - January 26 2024
• Using Opportunities to Shape Research (The Case of Gen AI): The College of Senior Scholars Panel
  ICIS 2023
  AIS
  Hyderabad, India - December 2023
• Industry Panel: Analytics/Data Science/AI Industry in India: Current and Future Trends
  SIGDSA Pre-ICIS Conference
  SIGDSA
  Hyderabad, India - December 2023
• Panel on PARADIGM SHIFT IN AI—GENERATIVE AI AND BEYOND
  ICIS 2023
  AIS
  Hyderabad, India - December 12 2023
• Impact of rare comorbidities on health outcomes: Theorizing structural holes in the comorbidity network
  Decision Science Institute Annual Conf 2023
  DSI
  Atlanta - November 2023
• AI Panel of Voices
  AP Panel of Voices
  Pearson
  Online - August 16 2023
• Network-Based Health Analytics
  DeepLearn 2023/BigDat 2023
  IRDTA
  Gran Canaria, Spain - July 2023
• My Research Trajectory and Generative AI             
  Aalto AI in Business Seminar
  Aalto University School of Business
  Espoo, Finland - May 2023
• Don’t Give Up: Tales from the Trenches!
  Aalto University Faculty/Doc Student Seminar
  Aalto University School of Business
  Espoo, Finland - May 2023
• Network Science and Analytics
  Aalto Systems Analysis Lab Seminar
  Aalto Univ Systems Analysis Laboratory
  Espoo, Finland - April 2023
• Don't Give Up: Tales from the Trenches
  BIS Speaker Series
  University College Cork
  Cork, Ireland - April 2023
• Network Science and Analytics Research and Coursework Explorations
  Fulbright Finland Foundation Presentation Series
  Fulbright Finland Foundation
  Helsinki, Finland - April 2023
• Understanding the Potential Dark Side of Analytics/Data Science/AI
  Guest Lecture- Aalto University Class
  Aalto University School of Business
  Espoo, Finland - March 2023
• Minimizing Dark Side of Data Science: Time for IS Discipline to Lead!
  Digitization 20 Conference
  Temple University
  Philadelphia - November 7 2019
• Editorial Panel on Publishing Analytics Research in Top Journals
  SIGDSA Pre-ICIS Workshop
  SIGDSA-AIS
  San Francisco - December 2018
• Analytics Teaching Tools: Teradata University Network & IBM Watson Platform
  Decision Sciences Institute Meeting
  DSI
  Chicago - November 2018
• Key Management and Governance Challenges when Executing Data Science / Analytics Projects
  AMCIS 2018
  AIS
  New Orleans, LA - August 2018
• Predicting Brand Post Popularity in Online Social Networks: An Ex-Ante Approach
  AMCIS 2018
  AIS
  New Orleans, LA - August 2018
• Examining health disparities by gender: A multimorbidity network analysis of electronic medical record
  Americas Conference on Information Systems (AMCIS) 2018
  New Orleans, LA - August 17 2018
• Real Time Detection of Acute Hypotensive Episode in Intensive Care Unit to Reduce Mortality Rate
  INFORMS Annual Meeting - 2017
  INFORMS
  Houston, TX - October 22 2017
• Panel: The Internet of Things (IoT): Platforms, Analytics, Security, Business Model, and Human Interaction
  AMCIS 2017
  AIS
  Boston - August 2017
• Panel: What is a Data Science/Analytics Degree?
  AMCIS 2017
  AIS
  Boston - August 2017
• Deriving Value from Analytics: Are we There Yet?
  Oklahoma IT Symposium
  Tulsa - August 2017
• Health Analytics Lead to More Questions: A Comorbidity Lens Approach,
  INFORMS Health Analytics Conference,
  INFORMS
  Rotterdam, The Netherlands - July 2017
• Take Control of Interruptions in Your Life: Lessons from Routine Activity Theory of Criminology
  The Hawaii International Conference on System Sciences (HICSS)
  Shidler College of Business, Department of Information Technology Management
  Hilton Waikoloa Village, Hawaii - January 2017
• Progression Analysis of Signals: Extending CRISP - DM to Stream Analytics
  2016 IEEE International Conference on Big Data
  December 2016
• Health Analytics Lead to More Questions: A Comorbidity Lens Approach
  2016 Pre-ICIS SIGDSA/IFIP WG8.3 Symposium: Innovations in Data Analytics
  Association for Information Systems
  Dublin, Ireland - 2016
• Teaching Big Data Technologies using Teradata University Network & the Aster Platform
  Data, Analytics and Statistics Instruction (DASI) Session for Specific Interest Group (SIG) 2016
  Decision Science Institute
  2016
• Preparing a Big Data Analytics Profe ssional: A Pedagogic Experience
  DSI 2016
  November 2016
• When will I get out of the Hospital? Modeling Length of S tay Using a Disease Network
  Proceedings of the 11th INFORMS Workshop on Data Mining and Decision Analytics (DM - DA 2016)
  November 2016
• Can a Smartphone be a Personal Doctor? Diagnosing Heart Conditions on Smartphones
  Research Week
  Oklahoma State University
  Stillwater - February 2016
• Understanding the Impact of Interruptions on Knowledge Work: An Exploratory Neuroimaging Study
  Hawaii International Conference on System Sciences
  January 2016
• A Demonstration of Social Media-based Surveillance Systems with Big Data Tools
  Business Analytics Congress 2015
  SIGDSA - AIS
  Ft Worth - December 2015
• Innovations in Healthcare: Actionable Insights from Analytics
  Business Analytics Congress 2015
  SIGDSA - AIS
  Ft Worth - December 2015
• Network Analytics: A Healthcare Application Demo of Teradata Aster
  Business Analytics Congress 2015
  SIGDSA - AIS
  Ft Worth - December 2015
• Workshop on Teaching a Big Data Analytics Class in MIS Programs
  Business Analytics Congress 2015
  SIGDSA - AIS
  Ft Worth - December 2015
• Predicting Number of Patient Admission Days Using Disease Network
  INFORMS Healthcare
  2015
• Do Central Users Matter? Exploring the Role of Social Media in Health Information Dissemination
  INFORMS Healthcare Meeting
  INFORMS
  Nashville - July 2015
• Investigating the Temporal-Spatial Cross-Correlation between the Flu Activity on Twitter and Clinical Health Records
  INFORMS Healthcare Meeting
  INFORMS
  Nashville - July 2015
• PANEL: Decision Sciences Journal Initiative in Healthcare Analytics: The Nexus of Operations Efficiency and Healthcare Information
  INFORMS Healthcare Meeting
  INFORMS
  Nashville - July 2015
• Opportunities & Challenges of Research Collaboration Between Industry and IS Academia
  13th Annual Big XII+ MIS Research Symposium
  Iowa State University - April 11 2015
• Panel: build Your Dream (Not Just Big) Analytics Program
  AMCIS 2014
  Savannah, Georgia - 2014
• Workshop on Recent Advances in Business Intelligence, Analytics and Analytics Platforms
  AMCIS 2014
  Savannah, Georgia - 2014
• A Framework for Recommender Systems Based on Hawkes Point Processes
  Decision Science Institute Meeting
  2014
• The Role of Peer-to-Peer Support on Electronic Social Networks for Chronic Disease Self-Management
  Decision Science Institute Meeting
  2014
• Hawkes Point Processes as a Big Data Analytics Tool for Social Media Management
  Informs Annual Meeting
  San Francisco, California - 2014
• Exposure, Explore, Experience: Analytics Journey
  SHARP 2014
  Chattanooga, Tennesse - 2014
• Predicting Injury Recovery Time in Collegiate Football: A Data
  Eleventh Annual Big XII+ MIS Research Symposium
  Stillwater, OK - 2013
• Executive Doctorate Programs and the Role of the Information Systems Discipline
  Thirty Fourth International Conference on Information Systems
  Milan - 2013
• The Value of RFID Tracking Systems for Inventory Management in Healthcare
  1st International Conference on Innovation and Entrepreneurship in Health
  Oklahoma City, OK - 2012
• A COMPREHENSIVE SYSTEM DYNAMICS MODEL FOR RETAIL OPERATIONS: RFID ADOPTION IN THE RETAIL SECTOR
  Production Operations Management Society Conf.
  POMS
  Chicago - April 2012
• MIS Research Opportunties: Analytics
  Big XII+ MIS Research Symposium
  Dallas - March 2012
• RFID-enabled Track and Traceability in Job-Shop Scheduling Environment
  Decision Sciences Institute Meeting
  DSI
  Boston, MA - November 2011
• Predicting Financial Success of Hollywood Movies with Advanced Analytics (Sponsored/Invited Talk)
  Analytics 2011
  SAS
  Orlando, FL - October 23 2011
• RFID Implementation: Recent Research and Opportunities
  7th International Workshop on Enterprise & Organizational Modeling and Simulation
  Association for Information Systems Special Interest Group on Modeling And Simulation (SIGMAS)
  London, UK - June 2011
• Research and Teaching Opportunities in Business Analytics
  Big XII+ MIS Research Symposium
  Manhattan, KS - April 2011
• Achieving Lean Initiative through RFID: A Simulation Study
  Decision Sciences Institute 2010 Annual Meeting
  San Diego, California - 2010
• A Hybrid Model for IT Investment Analysis: Application to RFID Adoption in the Retail Sector
  INFORMS Meeting
  2010
• Achieving Lean, Theory of Constraints, and Six Sigma thru RFID
  INFORMS Meeting
  November 2010
• Social Computing: Emerging Area of Research
  International Conference on Decision Support Systems
  2009
• Scheduling Email Processing: An SPR Formulation
  2008 Annual Meeting
  Institute for Operations Research and the Management Sciences
  Washington, D.C. - 2008
• Simulating Email Flow within Knowledge Networks
  4th International Workshop on Enterprise & Organizational Modeling and Simulation
  Montpellier, France - 2008
• Decision Supports to Ammunitions Personnel: A Wireless Implementation
  Americas Conference on Information Systems
  Toronto, Canada - 2008
• Using Simulation and Visualization for Innovating Teaching
  Decision Sciences Institute 2008 Annual Meeting
  Baltimore, MD - 2008
• Predicting the Financial Success of Hollywood Movies Using an Information Fusion Approach
  MS/OR Conference
  Istanbul, Turkey - 2008
• Simulating, Visualizing, Gaming and Analyzing: Modeling Your Way Towards Innovative Teaching Approaches
  Proceedings of the EOMAS 2008
  Montpellier, France - 2008
• Interdisciplinary and Analytical Approaches to Email Management
  INFORMS Annual Meeting
  Seattle, WA - 2007
• New Approaches to Email Management
  INFORMS Annual Meeting
  Seattle, WA - 2007
• Understanding the Performance of Email Processing Strategies in a Network of Knowledge Workers
  INFORMS Annual Meeting
  Seattle, WA - 2007
• Understanding the Rythms of Email Processing Strategies in a Network of Knowledge Workers
  INFORMS Annual Meeting
  Seattle - 2007
• Modeling Opportunities in Email Management Issues
  INFORMS International
  Puerto Rico - 2007
• Forecasting the Financial Success of Movies using Data Mining Techniques
  Data Mining Conference (M2007)
  SAS Institute
  Las Vegas, Nevada - October 1 2007
• Using Neural Networks to Forecast Box-Office Success
  America’s Conference on Information Systems (AMCIS)
  Association for Information Systems
  Keystone, Colorado - August 9 2007
• MIS Enrollment Issues and OSU’s Response
  Big XII IS Research Symposium
  Baylor University
  Waco, TX - 2006
• Perspectives on Documenting Accomplishments
  ITLE Faculty Development Workshop
  Oklahoma State University - 2006
• Reflections on Funded Research
  Mini-conference on Grantsmanship, Decision Sciences Meeting
  November 2006
• Managing Email Infrastructure in Organizations: An ORMS Framework
  International Conference on Operations Research Applications in Infrastructure Development
  India - December 2005
• Managing Email Infrastructure in Organizations: An ORMS Framework
  International Conference on Operations Research Applications in Infrastructure Development
  India - December 2005
• Simulation as a Tool for Theory Development
  Big XII MIS Research Symposium
  University of Oklahoma
  Norman, OK - 2005
• Beyond Spam: OR/MS Modeling Opportunities for Email Response Management
  2004 Annual Meeting
  APMOD
  London, UK - 2004
• Decision Support for Diversity in Supplier Procurement Through a Virtual Trade Fair
  2004 Annual Meeting
  DSI
  Boston, MA - 2004
• Getting Value from Your INFORMS Membership
  INFORMS Student Chapter, Oklahoma State University
  2004
• Issues in Internet Based Research
  Institutional Review Board, Oklahoma State University
  2004
• Mentoring Graduate Students
  Training in the Professoriate Seminars
  Oklahoma State University
  Stillwater, OK - April 2004
• Movie Forecast Guru
  Data Mining Workshop
  Tulsa, Oklahoma - February 2004
• Model Driven Decision Support Systems: Research Needs and Directions
  2003 Pre-ICIS Workshop Program
  AIS SIGDSS
  Seattle, WA - 2003
• Collaboration Opportunities between Oklahoma and India
  Indo-American Chamber of Commerce of Oklahoma (IACCO)
  2003
• An overview of systems enabling Computer supported collaborative learning Requiring immersive presence (CSCLIP)
  Thirty-Sixth Hawai'i Intentional Conference on System Sciences
  IEEE Computer Society
  Kona Hawai'i - 2003
• A Stochastic Programming Approach to Managing Email Overload
  2003 Annual Meeting
  INFORMS Computing Society
  San Antonio, TX - January 2003
• Panel: Computer Supported Collaborative Learning Requiring Immediate Presence (CSCLIP): Introduction And Research Opportunities
  Eighth Americas Conference on Information Systems
  AMCIS
  Dallas, TX - August 2002
• Virtual Trade Fairs: An Emerging Internet Application
  Japan-US Joint Seminar on E-business and I-business
  National Science Foundation
  Niigata and Tokyo, Japan - August 2002
• Philosophical Foundations of Decision Support Systems
  AMCIS Meeting
  Boston - 2001
• Visualization and Test Data Mining
  INFORMS Meeting
  Miami - 2001
• Trials and Tribulations of a Dot Com (Academic) Entrepreneur
  ATiB Conference, Oakland University
  Oakland - October 2001
• A Conceptual Framework for Computer Supported Collaborative Learning Requiring Immediate Presence (CSLIP)
  AHRD Meeting
  Tulsa, OK - March 2001
• Information Systems Under Internet/Web-based Environments: e-Learning and Instruction
  DSI Meeting
  Orlando - November 2000
• Network Security and the Business Value-Chain: Past, Present and Future
  INFORMS Meeting
  San Antonio, TX - November 2000
• Coordinating Technologies for Knowledge Management in Virtual Organizations
  AI WORC Meeting
  Buffalo - April 2000
• Decision Support Software in the 21st Century
  Decision Science Institute Meeting
  New Orleans - November 1999
• An Overview of Visualization Technologies for Knowledge Networks
  INFORMS Meeting
  Philadelphia - November 1999
• Management of Information Systems through a Fisheye View
  INFORMS Meeting
  Philadelphia - November 1999
• New Generation of Interdisciplinary Graduate Programs: Our Experiences with a new MS in Telecommunications Management Program
  INFORMS Meeting
  Cincinnati - May 1999
• WWW and the ORMS Interface
  INFORMS International Meeting
  1998
• Forecasting Gate Receipts Using Neural Networks
  INFORMS Meeting
  Seattle - 1998
• Knowledge Networks for Decision Support
  INFORMS Meeting
  Dallas, TX - 1997
• PANEL: INFORMS & Online Information
  INFORMS Meeting
  Washington, D.C. - 1996
• Information Support System for Cross-Functional Product Development Teams
  Marketing Science Institute Meeting
  Boston - September 1995
• Managment of Technology
  International Conference on Systems Engineering
  Lima, Peru - May 1995
• Internet and the OR/MS Professional: Are we Connected Yet?
  INFORMS Meeting
  Los Angeles - March 1995
• Towards an Interactive Journal of OR/MS
  IFORS Special Conference
  Santa Monica - January 1995
• Linear and Integer Programming and Modeling Software
  Canadian Operations Research Society Meeting
  Montreal - May 1994
• Electronic Networking for the OR/MS Professional
  ORSA/CSTS Meeting
  Williamsburg - January 1994
• Enhancing Model Analysis Using Neural Networks
  ORSA/CSTS Meeting
  January 1994
• Neural Networks for Bankruptcy Prediction
  47th Annual Conference of the Accountants
  Tulsa - 1993
• Alternative Institutional Arrangements for Managing an Exhaustible Aquifer: An Analytic Hierarchy Process Application
  Decision Sciences Institute Meeting
  Washington, D.C. - 1993
• Water Demand Forecasting Using Neural Networks
  ORSA/TIMS Meeting
  Chicago - 1993
• Bankruptcy Prediction Using Neural Networks
  ORSA/TIMS Meeting
  Orlando - 1992
• Event Forecasting for Asset Allocation Using Neural Networks
  ORSA/TIMS Meeting
  Orlando - 1992
• Neural Network Applications in Business: An Overview
  ORSA/TIMS Meeting
  Orlando - 1992
• Using Neural Networks for Forecasting Energy Demand
  ORSA/TIMS Meeting
  San Francisco, CA - 1992
• A Comparison of Mathematical Modeling Languages
  International Symposium on Applied Math Programming and Modeling
  London - 1991
• Performance Comparison of LP Software for Workstations
  International TIMS Meeting
  Brazil - 1991
• Graphical Interface for Constructing Models in an Object-Oriented Decision Support System
  ORSA/TIMS Meeting
  Nashville - 1991
• Neural Networks for Energy Forecasting
  ORSA/TIMS Meeting
  Nashville - 1991
• Panel on Linear Programming Software for Personal Computers: State-of-the-Art
  ORSA/TIMS Meeting
  Anaheim - 1991
• Panel on Neural Networks in Business School Curriculum
  ORSA/TIMS Meeting
  Anaheim - 1991
• Information Systems: A Strategic Resource
  OSU/OU Management Development Program
  1991
• Graphical User Interfaces for Network Modeling
  8th Symposium on Intelligent Mathematical Programming
  Denver - 1990
• Participant on the Research and Creative Activities Panel
  New Faculty Orientation
  1990
• Management Science Software for the Microcomputers
  ORSA/TIMS Meeting
  Las Vegas - 1990
• Neural Networks for Forecasting
  ORSA/TIMS Meeting
  Philadelphia - 1990
• The Use of Information and Information Technology as Competitive Weapons or Strategic Tools: A Microcomputer Resource Approach
  Management Society Meeting
  San Francisco, CA - 1989
• Alternative Institutional Arrangements for Managing an Exhaustible Aquifer: An AHP Application
  ORSA/TIMS Meeting
  Vancouver - 1989
• An Interactive Graphics-Based Modeling System for Transshipment Networks
  ORSA/TIMS Meeting
  New York - 1989
• A Multiobjective Approach Using Foreign Exchange Futures for International Working Capital Management
  Southern Fin. Association Meeting
  1989
• Expert Systems: A Primer
  CBA Associates Meeting
  November 1989
• A Compromise Programming Application to the Design of Telecommunications Networks
  ORSA/TIMS Meeting
  Denver - 1988
• A Probalistic Multi-Objective Model for Hedging Using Financial Futures
  ORSA/TIMS Meeting
  Washington, D.C. - 1988
• Experiences with a Revised 0-1 Implicit Enumeration Algorithm
  ORSA/TIMS Meeting
  Denver - 1988
• An Empirical Test of Automatic Forecasting Systems
  ORSA/TIMS
  New Orleans - 1987
• Design of a Computer Network Using Compromise Programming
  ORSA/TIMS Meeting
  St. Louis - 1987
• Performance of Some Optimization Algorithms on Personal Computers
  Sixth International Conference on Mathematical Modeling
  St. Louis - 1987
• State-of-the-Art of LP on Microcomputers
  ORSA/TIMS Meeting
  Miami Beach - 1986
• A Revision of 0-1 Implicit Enumeration Algorithm
  ORSA/TIMS Meeting
  Atlanta - 1985
• On Solving Large Linear Programming Problems
  12th International Symposium on Mathematical Programming
  Boston - August 1985
• Survey of Mathematical Programming Software for Microcomputers
  Special ORSA Conference on Microcomputers and Operations Research
  Denver - March 1985
• Validation of Monte Carlo Simulation Features of IFPS
  ORSA/TIMS Meeting
  Dallas - 1984
• Management Science on Microcomputers
  Annual Meeting of the International Business School Computer Users Group (IBS CUG)
  Iowa City - July 1984
• An Adaptive Control Model for Reservoir Operation
  ORSA/TIMS Meeting
  Orlando - 1983
• Cost and Reimbursement Analysis of Wisconsin Nursing Home Industry
  ORSA/TIMS Meeting
  Washington, D.C. - 1980
• Stochastic Programming Applied to the Operation of a Reservoir
  ORSA/TIMS Meeting
  Colorado Springs - 1980
• Compensating Balance Approach to Precautionary Case Management for a Multinational Organization
  ORSA/TIMS Meeting
  Milwaukee - 1979
• Stochastic Programming and Reservoir Operations
  ORSA/TIMS Meeting
  Milwaukee - 1979