Brain-like Supervised Learning in Pattern Classification Using Linear Programming: An Overview and Practical Research Prospects
Forecasting Irregular and Lumpy Demands: Combining Alternative Approaches
Traditional operational research and biologically motivated optimization models to predict multi-national Internet adoptions
An Empirical Investigation of Trans-National Service Value Creation: The Influence of National Culture
Mukhopadhyay, S., Solis, A.O., and, Gutierrez, R.S., “The accuracy of non-traditional versus traditional methods of forecasting lumpy demand.” Journal of Forecasting, published online on Wiley online library, wileyonlinelibrary.com, 2011.
The Impact of Organizational Strategy and Culture, People and Technology Management On Organizational Practice and Performance: An Empirical Analysis
• Joseph, J. and Mukhopadhyay, S. “A Bi-national Examination of Gender and IT Adoption.” International Journal of Society Systems Sciences, Vol 2, #3, pp. 255-268, 2010.
Mahmood, M. A., Mukhopadhyay, S., Joseph, J. (2009). Consumer Purchasing Behavior and e-Commerce Adoption Factors. Journal of Electronic Commerce Research, 7(4).
Mukhopadhyay, S., Bagchi, K., Udo, G. J. (2009). Examining Factors and Predictive Validity of A New Set of Global Mobile Diffusion Models. International Journal of Electronic Business /INDERSCIENCE PUBLISHERS, 7(6), 553-580. Harzing Journal quality Rating= Highly Regarded Journal.
Brouthers L.E., Mukhopadhyay, S., Wilkinson, T.J., Brouthers, K.D. (2009) International Market Selection and MNE Performance, Journal of World Business, 44(3). ISI Journal Quality Rating= 2.627.
Modeling Mobile Technology Growth Using Diffusion Models and Neural Networks
Gutierrez, R. S., Solis, A., Mukhopadhyay, S. (2008). Lumpy Demand Forecasting Using Neural Networks. International Journal of Production Economics (111), 409-420.
Mukhopadhyay, S., Mahmood, M. A., Joseph, J. L. (2008). Measuring Internet Commerce Success: What Factors are Important. Journal of Internet Commerce, 7(1), 1-28.
Mukhopadhyay, S., Samaddar, S., Nargundkar, S. (2008). Predicting Electronic Commerce Growth: An integration of Diffusion and Neural Network Models. Journal of Electronic Commerce Research, 9(4).
Mukhopadhyay, S. (2008). Predicting the Diffusion of Innovative Products Using Neural Networks. International Journal of Management and Decision Making, 9(4).
Mukhopadhyay, S., Samaddar, S., Colville, G. (2007). Improving Revenue Management Decision Making for Airlines by Evaluating Analyst Adjusted Passenger Demand. Decision Sciences, 38(2), 307-325.
Bagchi, K., Mukhopadhyay, S. (2006). Predicting Global Internet Growth Using Augmented Diffusion, Fuzzy Regression and Neural Network Models. International Journal of Information Technology and Decision Making, 5(1), 155-171. ISI Journal Quality Ranking= 0.953.
Does Social Communicability Mediate the Role of Trust in Mobile Phone Adoption? An Individual Level Multi-Nation Exploratory Study
Parra, F.; Gemoets, L.; Mukhopadhyay, S 2011. On a Firm’s Core Competency through Information Systems: a Meta-Analysis. The 11th IAMB Winter Conference, Nov. 7-9, 2011. San Francisco, CA.
• Gonzalez, M., Mukhopadhyay, S. and, Gemoets, L. “BI factors for competitive advantage” Proceedings of the 41st Annual Meeting of the Decision Sciences Institute, November 2011, Boston, pp. 4261-4270.
• Bagchi , K., Tang, Z., and, Mukhopadhyay, S., “What Differentiates Attitude Towards Technology Among Technology-Averse And Technology-Oriented People?” Proceedings of the 40th Annual Meeting of the Decision Sciences Institute, November 2010, San Diego, pp. 2571-2576.
• Solis, A.O., Mukhopadhyay, S., and, Gutierrez, R.S., "Inventory Control Performance of the Various Forecasting Methods When Demand is Lumpy," International Conference on Modeling and Applied Simulation, 2010, Morocco, MAS 2010.
Choden, K., Mahmood, M. A., Mukhopadhyay, S., Luciano, E. (2009). Organizational Preparedness for Information Security Breaches: An Empirical Investigation. New Orleans: 2009 Decision Sciences Institute.
Mukhopadhyay, S., Solis, A. O., Gutierrez, R. S. (2009). Accuracy of Lumpy Demand Forecasting Methods and their Impact on Inventory Levels. Proceedings of the 39th Annual Meeting of the Decision Sciences Institute, New Orleans, LA.
Mukhopadhyay, S., Solis, A. O., Gutierrez, R. S. (2009). Lumpy Demand Forecasting Techniques: A Comparative Study. Proceedings of the Decision Sciences Institute International Conference 2009, Nancy, France, June 2009.
Samaddar, S., Mukhopadhyay, S., Bagchi, K. (2008). Trans-National Service Value Creation: Influence of National Culture. Atlanta, GA: Proceedings GITMA.
Mukhopadhyay, S., Solis, A. (2008). A Linear Programming Masking Algorithm for Pattern Classification. Western Decision Sciences Proceedings.
Mukhopadhyay, S. (2008). Generalized Value Models of Internet Commerce for Three Segmented Customer Groups at a United States of America (USA) Border City near Mexico. ISDSI Conference at Ghaziabad.
Mukhopadhyay, S. (2007). Evaluation of Brain-like Supervised Learning in Linear Programming Pattern Classifiers. Decision Science Institute Proceedings.
Mukhopadhyay, S., Gutierrez, R. S., Solis, A. (2006). Analysis and Forecasting of Lumpy Demand: Alternative Approaches. DSI Proceedings. San Antonio, November 2006.
Mahmood, M. A., Mukhopadhyay, S., Joseph, J. (2006). Measuring Internet Commerce Success: What Factors are Important?. Proceedings of Decision Sciences Institute (2006) Annual Meeting.
Mukhopadhyay, S., Bagchi, K., Udo, G. J. (2006). Modeling Mobile Technology Growth Using Diffusion Models and Neural Networks (pp. 28551-28556). San Antonio, Texas: Proceedings DSI.
Mukhopadhyay, S. (2006). Examining Predictive Validity of a New Set of Global Internet Adoption Models Including Neural Networks. Seventh International Conference on Operations and Quantitative Management (ICOQM-VII). August 2006.
Mahmood, M. A., Joseph, J., Mukhopadhyay, S. (2006). Internet Commerce Success Measures: A SEM-based Empirical Investigation. AMCIS Proceedings.
Solis, A., Mukhopadhyay, S., Gutierrez, R. S. (2006). Factors Indicative of Relative Performance of Methods for Lumpy Demand Forecasting. Western DSI Proceedings. April 2006.