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Ramesh Sharda

Personal Details

First Name:Ramesh
Middle Name:
Last Name:Sharda
Suffix:
RePEc Short-ID:psh917
[This author has chosen not to make the email address public]
http://spears.okstate.edu/sharda

Affiliation

Spears School of Business
Oklahoma State University

Stillwater, Oklahoma (United States)
http://business.okstate.edu/

:


RePEc:edi:sboksus (more details at EDIRC)

Research output

as
Jump to: Articles

Articles

  1. Ashish Gupta & Amit Deokar & Lakshmi Iyer & Ramesh Sharda & Dave Schrader, 2018. "Big Data & Analytics for Societal Impact: Recent Research and Trends," Information Systems Frontiers, Springer, vol. 20(2), pages 185-194, April.
  2. Paras M. Agrawal & Ramesh Sharda, 2013. "OR Forum---Quantum Mechanics and Human Decision Making," Operations Research, INFORMS, vol. 61(1), pages 1-16, February.
  3. Foad Mahdavi Pajouh & Dahai Xing & Yingjue Zhou & Sharethram Hariharan & Balabhaskar Balasundaram & Tieming Liu & Ramesh Sharda, 2013. "A Specialty Steel Bar Company Uses Analytics to Determine Available-to-Promise Dates," Interfaces, INFORMS, vol. 43(6), pages 503-517, December.
  4. Chongwatpol, Jongsawas & Sharda, Ramesh, 2013. "RFID-enabled track and traceability in job-shop scheduling environment," European Journal of Operational Research, Elsevier, vol. 227(3), pages 453-463.
  5. Jason Nichols & David Biro & Ramesh Sharda & 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 IT (IJSODIT), IGI Global, vol. 2(4), pages 1-13, October.
  6. Agrawal, Paras M. & Sharda, Ramesh, 2012. "Impact of frequency of alignment of physical and information system inventories on out of stocks: A simulation study," International Journal of Production Economics, Elsevier, vol. 136(1), pages 45-55.
  7. Joseph Barjis & Ashish Gupta & Ramesh Sharda, 2011. "Knowledge work and communication challenges in networked enterprises," Information Systems Frontiers, Springer, vol. 13(5), pages 615-619, November.
  8. Ashish Gupta & Ramesh Sharda & Robert A. Greve, 2011. "You’ve got email! Does it really matter to process emails now or later?," Information Systems Frontiers, Springer, vol. 13(5), pages 637-653, November.
  9. Subramanian Rama Iyer & Ramesh Sharda & David Biros & Joyce Lucca & Upton Shimp, 2009. "Organization of Lessons Learned Knowledge: A Taxonomy and Implementation," International Journal of Knowledge Management (IJKM), IGI Global, vol. 5(3), pages 1-20, July.
  10. Ramesh Sharda & Dursun Delen, 2006. "How to Predict a Movie's Success at the Box Office," Foresight: The International Journal of Applied Forecasting, International Institute of Forecasters, issue 5, pages 32-36, Fall.
  11. Nicholas C. Romano & Ramesh Sharda & Joyce Lucca, 2005. "Computer-Supported Collaborative Learning Requiring Immersive Presence (CSCLIP): An Introduction," Information Systems Frontiers, Springer, vol. 7(1), pages 5-12, February.
  12. Ozgur Turetken & Ramesh Sharda, 2005. "Clustering-Based Visual Interfaces for Presentation of Web Search Results: An Empirical Investigation," Information Systems Frontiers, Springer, vol. 7(3), pages 273-297, July.
  13. Keith Willett & Ramesh Sharda, 1997. "Alternative Control Policies for Water Quality Management: An Experimental Economics Approach," Journal of Environmental Planning and Management, Taylor & Francis Journals, vol. 40(4), pages 507-526.
  14. Sharda, Ramesh & Wang, Jun, 1996. "Neural networks and operations research/management science," European Journal of Operational Research, Elsevier, vol. 93(2), pages 227-229, September.
  15. Ramesh Sharda & David M. Steiger, 1996. "Inductive Model Analysis Systems: Enhancing Model Analysis in Decision Support Systems," Information Systems Research, INFORMS, vol. 7(3), pages 328-341, September.
  16. Steiger, David M. & Sharda, Ramesh, 1996. "Analyzing mathematical models with inductive learning networks," European Journal of Operational Research, Elsevier, vol. 93(2), pages 387-401, September.
  17. Ramesh Sharda, 1994. "Neural Networks for the MS/OR Analyst: An Application Bibliography," Interfaces, INFORMS, vol. 24(2), pages 116-130, April.
  18. David Steiger & Ramesh Sharda & Brian Leclaire, 1993. "Graphical Interfaces for Network Modeling: A Model Management System Perspective," INFORMS Journal on Computing, INFORMS, vol. 5(3), pages 275-291, August.
  19. Willett, Keith & Sharda, Ramesh, 1991. "Using the analytic hierarchy process in water resources planning: Selection of flood control projects," Socio-Economic Planning Sciences, Elsevier, vol. 25(2), pages 103-112.
  20. Ramesh Sharda, 1988. "The State of the Art of Linear Programming on Personal Computers," Interfaces, INFORMS, vol. 18(4), pages 49-58, August.
  21. K Willett & R Sharda, 1988. "A dynamic multimarket equilibrium model for the economic analysis of pollution control policies," Environment and Planning A, Pion Ltd, London, vol. 20(3), pages 391-405, March.
  22. Willett, Keith & Sharda, Ramesh, 1988. "Competing demands for water resources : A dynamic joint maximization model," Resources and Energy, Elsevier, vol. 10(2), pages 135-159, June.
  23. Ramesh Sharda & Steve H. Barr & James C. McDonnell, 1988. "Decision Support System Effectiveness: A Review and an Empirical Test," Management Science, INFORMS, vol. 34(2), pages 139-159, February.
  24. Ramesh Sharda, 1987. "A Simple Model to Estimate Bounds on Total Market Gains and Losses for a Particular Stock," Interfaces, INFORMS, vol. 17(5), pages 43-50, October.
  25. Ramesh Sharda & Kathryn D. Musser, 1986. "Financial Futures Hedging Via Goal Programming," Management Science, INFORMS, vol. 32(8), pages 933-947, August.
  26. Ramesh Sharda, 1984. "Linear Programming on Microcomputers: A Survey," Interfaces, INFORMS, vol. 14(6), pages 27-38, December.

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Articles

  1. Ashish Gupta & Amit Deokar & Lakshmi Iyer & Ramesh Sharda & Dave Schrader, 2018. "Big Data & Analytics for Societal Impact: Recent Research and Trends," Information Systems Frontiers, Springer, vol. 20(2), pages 185-194, April.

    Cited by:

    1. Côrte-Real, Nadine & Ruivo, Pedro & Oliveira, Tiago & Popovič, Aleš, 2019. "Unlocking the drivers of big data analytics value in firms," Journal of Business Research, Elsevier, vol. 97(C), pages 160-173.

  2. Chongwatpol, Jongsawas & Sharda, Ramesh, 2013. "RFID-enabled track and traceability in job-shop scheduling environment," European Journal of Operational Research, Elsevier, vol. 227(3), pages 453-463.

    Cited by:

    1. Ahmed Musa & Al-Amin Abba Dabo, 2016. "A Review of RFID in Supply Chain Management: 2000–2015," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 17(2), pages 189-228, June.
    2. Jiewu Leng & Pingyu Jiang, 2019. "Dynamic scheduling in RFID-driven discrete manufacturing system by using multi-layer network metrics as heuristic information," Journal of Intelligent Manufacturing, Springer, vol. 30(3), pages 979-994, March.
    3. Jiewu Leng & Pingyu Jiang, 0. "Dynamic scheduling in RFID-driven discrete manufacturing system by using multi-layer network metrics as heuristic information," Journal of Intelligent Manufacturing, Springer, vol. 0, pages 1-16.
    4. Guo, Z.X. & Ngai, E.W.T. & Yang, Can & Liang, Xuedong, 2015. "An RFID-based intelligent decision support system architecture for production monitoring and scheduling in a distributed manufacturing environment," International Journal of Production Economics, Elsevier, vol. 159(C), pages 16-28.
    5. Zhong, Ray Y. & Huang, George Q. & Lan, Shulin & Dai, Q.Y. & Chen, Xu & Zhang, T., 2015. "A big data approach for logistics trajectory discovery from RFID-enabled production data," International Journal of Production Economics, Elsevier, vol. 165(C), pages 260-272.
    6. Chongwatpol, Jongsawas, 2015. "Integration of RFID and business analytics for trade show exhibitors," European Journal of Operational Research, Elsevier, vol. 244(2), pages 662-673.

  3. Agrawal, Paras M. & Sharda, Ramesh, 2012. "Impact of frequency of alignment of physical and information system inventories on out of stocks: A simulation study," International Journal of Production Economics, Elsevier, vol. 136(1), pages 45-55.

    Cited by:

    1. Li, Ming & Wang, Zheng & Chan, Felix T.S., 2016. "A robust inventory routing policy under inventory inaccuracy and replenishment lead-time," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 91(C), pages 290-305.
    2. Cannella, Salvatore & Framinan, Jose M. & Bruccoleri, Manfredi & Barbosa-Póvoa, Ana Paula & Relvas, Susana, 2015. "The effect of Inventory Record Inaccuracy in Information Exchange Supply Chains," European Journal of Operational Research, Elsevier, vol. 243(1), pages 120-129.
    3. Dai, Hongyan & Li, Jianbin & Yan, Nina & Zhou, Weihua, 2016. "Bullwhip effect and supply chain costs with low- and high-quality information on inventory shrinkage," European Journal of Operational Research, Elsevier, vol. 250(2), pages 457-469.
    4. Renko, Sanda & Druzijanic, Mirna, 2014. "Perceived usefulness of innovative technology in retailing: Consumers׳ and retailers׳ point of view," Journal of Retailing and Consumer Services, Elsevier, vol. 21(5), pages 836-843.
    5. Wang, Fuqiang & Fang, Xiaoping & Chen, Xiaohong & Li, Xihua, 2016. "Impact of inventory inaccuracies on products with inventory-dependent demand," International Journal of Production Economics, Elsevier, vol. 177(C), pages 118-130.
    6. Lei, Quansheng & Chen, Jian & Wei, Xingyu & Lu, Shan, 2015. "Supply chain coordination under asymmetric production cost information and inventory inaccuracy," International Journal of Production Economics, Elsevier, vol. 170(PA), pages 204-218.
    7. Cannella, Salvatore & Dominguez, Roberto & Framinan, Jose M., 2017. "Inventory record inaccuracy – The impact of structural complexity and lead time variability," Omega, Elsevier, vol. 68(C), pages 123-138.

  4. Joseph Barjis & Ashish Gupta & Ramesh Sharda, 2011. "Knowledge work and communication challenges in networked enterprises," Information Systems Frontiers, Springer, vol. 13(5), pages 615-619, November.

    Cited by:

    1. Francisco J. Gutierrez & Sergio F. Ochoa & Gustavo Zurita & Nelson Baloian, 2016. "Understanding student participation in undergraduate course communities: A case study," Information Systems Frontiers, Springer, vol. 18(1), pages 7-21, February.
    2. Helga Guðrún Óskarsdóttir & Guðmundur Valur Oddsson, 2017. "A Soft Systems Approach to Knowledge Worker Productivity—Analysis of the Problem Situation," Economies, MDPI, Open Access Journal, vol. 5(3), pages 1-27, August.
    3. Yong Sun & Wenan Tan & Lingxia Li & Weiming Shen & Zhuming Bi & Xiaoming Hu, 2016. "A new method to identify collaborative partners in social service provider networks," Information Systems Frontiers, Springer, vol. 18(3), pages 565-578, June.
    4. Chulhwan Chris Bang, 2015. "Information systems frontiers: Keyword analysis and classification," Information Systems Frontiers, Springer, vol. 17(1), pages 217-237, February.
    5. Sam Solaimani & Harry Bouwman & Timo Itälä, 2015. "Networked enterprise business model alignment: A case study on smart living," Information Systems Frontiers, Springer, vol. 17(4), pages 871-887, August.
    6. Jesús M. Hermida & Santiago Meliá & Andrés Montoyo & Jaime Gómez, 2013. "Applying model-driven engineering to the development of Rich Internet Applications for Business Intelligence," Information Systems Frontiers, Springer, vol. 15(3), pages 411-431, July.

  5. Ashish Gupta & Ramesh Sharda & Robert A. Greve, 2011. "You’ve got email! Does it really matter to process emails now or later?," Information Systems Frontiers, Springer, vol. 13(5), pages 637-653, November.

    Cited by:

    1. Joseph Barjis & Ashish Gupta & Ramesh Sharda, 2011. "Knowledge work and communication challenges in networked enterprises," Information Systems Frontiers, Springer, vol. 13(5), pages 615-619, November.
    2. Chulhwan Chris Bang, 2015. "Information systems frontiers: Keyword analysis and classification," Information Systems Frontiers, Springer, vol. 17(1), pages 217-237, February.

  6. Nicholas C. Romano & Ramesh Sharda & Joyce Lucca, 2005. "Computer-Supported Collaborative Learning Requiring Immersive Presence (CSCLIP): An Introduction," Information Systems Frontiers, Springer, vol. 7(1), pages 5-12, February.

    Cited by:

    1. Chulhwan Chris Bang, 2015. "Information systems frontiers: Keyword analysis and classification," Information Systems Frontiers, Springer, vol. 17(1), pages 217-237, February.
    2. Nicholas C. Romano & Ramesh Sharda & Joyce Lucca, 2005. "Computer-Supported Collaborative Learning Requiring Immersive Presence (CSCLIP): An Introduction," Information Systems Frontiers, Springer, vol. 7(1), pages 5-12, February.
    3. Sabine Köszegi & Gregory Kersten, 2003. "On-line/Off-line: Joint Negotiation Teaching in Montreal and Vienna," Group Decision and Negotiation, Springer, vol. 12(4), pages 337-345, July.

  7. Ozgur Turetken & Ramesh Sharda, 2005. "Clustering-Based Visual Interfaces for Presentation of Web Search Results: An Empirical Investigation," Information Systems Frontiers, Springer, vol. 7(3), pages 273-297, July.

    Cited by:

    1. Chulhwan Chris Bang, 2015. "Information systems frontiers: Keyword analysis and classification," Information Systems Frontiers, Springer, vol. 17(1), pages 217-237, February.

  8. Sharda, Ramesh & Wang, Jun, 1996. "Neural networks and operations research/management science," European Journal of Operational Research, Elsevier, vol. 93(2), pages 227-229, September.

    Cited by:

    1. Baker, Bruce D., 2001. "Can flexible non-linear modeling tell us anything new about educational productivity?," Economics of Education Review, Elsevier, vol. 20(1), pages 81-92, February.

  9. Ramesh Sharda & David M. Steiger, 1996. "Inductive Model Analysis Systems: Enhancing Model Analysis in Decision Support Systems," Information Systems Research, INFORMS, vol. 7(3), pages 328-341, September.

    Cited by:

    1. Dawn G. Gregg & Uday R. Kulkarni & Ajay S. Vinzé, 2001. "Understanding the Philosophical Underpinnings of Software Engineering Research in Information Systems," Information Systems Frontiers, Springer, vol. 3(2), pages 169-183, June.

  10. Ramesh Sharda, 1994. "Neural Networks for the MS/OR Analyst: An Application Bibliography," Interfaces, INFORMS, vol. 24(2), pages 116-130, April.

    Cited by:

    1. Davalos, Sergio & Gritta, Richard D. & Adrangi, Bahram, 2007. "Deriving Rules for Forecasting Air Carrier Financial Stress and Insolvency: A Genetic Algorithm Approach," Journal of the Transportation Research Forum, Transportation Research Forum, vol. 46(2), pages 1-20.
    2. Khurshid Kiani, 2011. "Fluctuations in Economic and Activity and Stabilization Policies in the CIS," Computational Economics, Springer;Society for Computational Economics, vol. 37(2), pages 193-220, February.
    3. R Fildes & K Nikolopoulos & S F Crone & A A Syntetos, 2008. "Forecasting and operational research: a review," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 59(9), pages 1150-1172, September.
    4. Sander Hoog, 2019. "Surrogate Modelling in (and of) Agent-Based Models: A Prospectus," Computational Economics, Springer;Society for Computational Economics, vol. 53(3), pages 1245-1263, March.
    5. Jeeeun Kim & Sungjoo Lee, 2017. "Forecasting and identifying multi-technology convergence based on patent data: the case of IT and BT industries in 2020," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(1), pages 47-65, April.
    6. Eleimon Gonis & Salima Paul & Jon Tucker, 2012. "Rating or no rating? That is the question: an empirical examination of UK companies," The European Journal of Finance, Taylor & Francis Journals, vol. 18(8), pages 709-735, September.
    7. Khurshid Kiani, 2005. "Detecting Business Cycle Asymmetries Using Artificial Neural Networks and Time Series Models," Computational Economics, Springer;Society for Computational Economics, vol. 26(1), pages 65-89, August.
    8. Perera, H. Niles & Hurley, Jason & Fahimnia, Behnam & Reisi, Mohsen, 2019. "The human factor in supply chain forecasting: A systematic review," European Journal of Operational Research, Elsevier, vol. 274(2), pages 574-600.
    9. Schewe, Gerhard & Leker, Jens, 1996. "Empirische Insolvenzforschung: Ein Vergleich ausgewählter Instrumente," Manuskripte aus den Instituten für Betriebswirtschaftslehre der Universität Kiel 401, Christian-Albrechts-Universität zu Kiel, Institut für Betriebswirtschaftslehre.
    10. Angelos Mimis & Antonis Rovolis & Marianthi Stamou, 2013. "Property valuation with artificial neural network: the case of Athens," Journal of Property Research, Taylor & Francis Journals, vol. 30(2), pages 128-143, June.
    11. Sander van der Hoog, 2017. "Deep Learning in (and of) Agent-Based Models: A Prospectus," Papers 1706.06302, arXiv.org.
    12. Juan Camilo Santana, 2008. "La curva de rendimientos: una revisión metodológica y nuevas aproximaciones de estimación," Revista Cuadernos de Economía, Universidad Nacional de Colombia -FCE - CID, July.

  11. Willett, Keith & Sharda, Ramesh, 1991. "Using the analytic hierarchy process in water resources planning: Selection of flood control projects," Socio-Economic Planning Sciences, Elsevier, vol. 25(2), pages 103-112.

    Cited by:

    1. Ebrahim Ahmadisharaf & Alfred Kalyanapu & Eun-Sung Chung, 2015. "Evaluating the Effects of Inundation Duration and Velocity on Selection of Flood Management Alternatives Using Multi-Criteria Decision Making," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 29(8), pages 2543-2561, June.
    2. Xu, Z., 2000. "On consistency of the weighted geometric mean complex judgement matrix in AHP," European Journal of Operational Research, Elsevier, vol. 126(3), pages 683-687, November.
    3. Gabriel, Steven A. & Kumar, Satheesh & Ordonez, Javier & Nasserian, Amirali, 2006. "A multiobjective optimization model for project selection with probabilistic considerations," Socio-Economic Planning Sciences, Elsevier, vol. 40(4), pages 297-313, December.
    4. Yi-Ru Chen & Chao-Hsien Yeh & Bofu Yu, 2011. "Integrated application of the analytic hierarchy process and the geographic information system for flood risk assessment and flood plain management in Taiwan," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 59(3), pages 1261-1276, December.

  12. Ramesh Sharda & Steve H. Barr & James C. McDonnell, 1988. "Decision Support System Effectiveness: A Review and an Empirical Test," Management Science, INFORMS, vol. 34(2), pages 139-159, February.

    Cited by:

    1. Ninko Kostovski & Marjan Bojadjiev & Hari Lokvenec, 2017. "Decision Support Systems For New Project Development In Fast Moving Consumer Goods Industries," Annals - Economy Series, Constantin Brancusi University, Faculty of Economics, vol. 5, pages 4-14, October.
    2. Salo, Ahti A., 1995. "Interactive decision aiding for group decision support," European Journal of Operational Research, Elsevier, vol. 84(1), pages 134-149, July.
    3. Chuan-Hoo Tan & Hock-Hai Teo & Izak Benbasat, 2010. "Assessing Screening and Evaluation Decision Support Systems: A Resource-Matching Approach," Information Systems Research, INFORMS, vol. 21(2), pages 305-326, June.
    4. Gary L. Lilien & Arvind Rangaswamy & Gerrit H. Van Bruggen & Katrin Starke, 2004. "DSS Effectiveness in Marketing Resource Allocation Decisions: Reality vs. Perception," Information Systems Research, INFORMS, vol. 15(3), pages 216-235, September.
    5. Norbert Koppenhagen & Benjamin Mueller & Alexander Maedche & Ye Li & Stephanie Hiller, 2016. "Designing a supply network artifact for data, process, and people integration," Information Systems and e-Business Management, Springer, vol. 14(3), pages 613-636, August.
    6. Peter Todd & Izak Benbasat, 1999. "Evaluating the Impact of DSS, Cognitive Effort, and Incentives on Strategy Selection," Information Systems Research, INFORMS, vol. 10(4), pages 356-374, December.
    7. Gerrit H. van Bruggen & Ale Smidts & Berend Wierenga, 1998. "Improving Decision Making by Means of a Marketing Decision Support System," Management Science, INFORMS, vol. 44(5), pages 645-658, May.
    8. Patrick Schittekat & Kenneth Sörensen, 2009. "OR Practice---Supporting 3PL Decisions in the Automotive Industry by Generating Diverse Solutions to a Large-Scale Location-Routing Problem," Operations Research, INFORMS, vol. 57(5), pages 1058-1067, October.
    9. Gelderman, M., 1995. "Factors affecting the success of management support systems: analysis and meta-analysis," Serie Research Memoranda 0020, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.
    10. Sarv Devaraj & Rajiv Kohli, 2003. "Performance Impacts of Information Technology: Is Actual Usage the Missing Link?," Management Science, INFORMS, vol. 49(3), pages 273-289, March.
    11. Edward Christensen & Jerry Fjermestad, 1997. "Challenging Group Support Systems Research: The Case for Strategic Decision Making," Group Decision and Negotiation, Springer, vol. 6(4), pages 351-372, July.
    12. Yili (Kevin) Hong & Paul A. Pavlou, 2014. "Product Fit Uncertainty in Online Markets: Nature, Effects, and Antecedents," Information Systems Research, INFORMS, vol. 25(2), pages 328-344, June.
    13. Althuizen, N.A.P. & Wierenga, B., 2003. "The Effectiveness of Case-Based Reasoning: An Application in Sales Promotions," ERIM Report Series Research in Management ERS-2003-053-MKT, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    14. Gelderman, Maarten, 1997. "Task difficulty, task variability and satisfaction with management support systems: consequences and solutions ˜," Serie Research Memoranda 0053, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.
    15. Günther, Finn & Möller, Klaus & Wenig, Philipp, 2015. "Erfolgswirkung einer proaktiven Unternehmensstrategie zur Integration natürlicher Ressourcen," Die Unternehmung - Swiss Journal of Business Research and Practice, Nomos Verlagsgesellschaft mbH & Co. KG, vol. 69(1), pages 25-53.
    16. Liguo Lou & Zilu Tian & Joon Koh, 2017. "Tourist Satisfaction Enhancement Using Mobile QR Code Payment: An Empirical Investigation," Sustainability, MDPI, Open Access Journal, vol. 9(7), pages 1-14, July.
    17. Leeuwen, Jerry van & Heijden, Hans van der & Kronsteiner, Reinhard, 2003. "Group Decision Support for Resource Allocation Decisions in Three-Person Groups," Serie Research Memoranda 0025, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.
    18. Phillips-Wren, G. & Mora, M. & Forgionne, G.A. & Gupta, J.N.D., 2009. "An integrative evaluation framework for intelligent decision support systems," European Journal of Operational Research, Elsevier, vol. 195(3), pages 642-652, June.
    19. Lilien, G.L. & Rangaswamy, A. & Starke, K. & van Bruggen, G.H., 2001. "How and Why Decision Models Influence Marketing Resource Allocations," ERIM Report Series Research in Management ERS-2001-33-MKT, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    20. Stone, Dan N. & Kadous, Kathryn, 1997. "The Joint Effects of Task-Related Negative Affect and Task Difficulty in Multiattribute Choice," Organizational Behavior and Human Decision Processes, Elsevier, vol. 70(2), pages 159-174, May.
    21. Lilien, Gary L. & Rangaswamy, Arvind & van Bruggen, Gerrit H. & Wierenga, Berend, 2002. "Bridging the marketing theory-practice gap with marketing engineering," Journal of Business Research, Elsevier, vol. 55(2), pages 111-121, February.
    22. Peter R. Monge & Janet Fulk & Michael E. Kalman & Andrew J. Flanagin & Claire Parnassa & Suzanne Rumsey, 1998. "Production of Collective Action in Alliance-Based Interorganizational Communication and Information Systems," Organization Science, INFORMS, vol. 9(3), pages 411-433, June.
    23. Martin S. Schilling & Nadine Oeser & Cornelius Schaub, 2007. "How Effective Are Decision Analyses? Assessing Decision Process and Group Alignment Effects," Decision Analysis, INFORMS, vol. 4(4), pages 227-242, December.
    24. Mi, Hwang, 1998. "Did Task Type Matter in the Use of Decision Room GSS? A Critical Review and a Meta-analysis," Omega, Elsevier, vol. 26(1), pages 1-15, February.
    25. Vetschera, Rudolf & Walterscheid, Heinz, 1993. "A process-oriented framework for the evaluation of managerial support systems," Discussion Papers, Series I 264, University of Konstanz, Department of Economics.
    26. van Bruggen, G.H. & Smidts, A. & Wierenga, B., 2000. "The Powerful Triangle of Marketing Data, Managerial Judgment, and Marketing Management Support Systems," ERIM Report Series Research in Management ERS-2000-33-MKT, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    27. Rajiv D. Banker & Robert J. Kauffman, 2004. "50th Anniversary Article: The Evolution of Research on Information Systems: A Fiftieth-Year Survey of the Literature in Management Science," Management Science, INFORMS, vol. 50(3), pages 281-298, March.
    28. Kumar, Ram L., 1999. "Understanding DSS value: an options perspective," Omega, Elsevier, vol. 27(3), pages 295-304, June.
    29. She-I Chang & David C. Yen & Celeste See-Pui Ng & I-Cheng Chang & Sheng-Yu Yu, 2011. "An ERP system performance assessment model development based on the balanced scorecard approach," Information Systems Frontiers, Springer, vol. 13(3), pages 429-450, July.
    30. Reza Barkhi & Varghese S. /fnms> Jacob & Hasan Pirkul, 1999. "An Experimental Analysis of Face to Face versus Computer Mediated Communication Channels," Group Decision and Negotiation, Springer, vol. 8(4), pages 325-347, July.
    31. Lu, Hsi-Peng & Yu, Huei-Ju & Lu, Simon S. K., 2001. "The effects of cognitive style and model type on DSS acceptance: An empirical study," European Journal of Operational Research, Elsevier, vol. 131(3), pages 649-663, June.
    32. Michael Ahearne & Eli Jones & Adam Rapp & John Mathieu, 2008. "High Touch Through High Tech: The Impact of Salesperson Technology Usage on Sales Performance via Mediating Mechanisms," Management Science, INFORMS, vol. 54(4), pages 671-685, April.
    33. Fred Niederman & John Bryson, 1998. "Influence of Computer-Based Meeting Support on Process and Outcomes for a Divisional Coordinating Group," Group Decision and Negotiation, Springer, vol. 7(4), pages 293-325, July.

  13. Ramesh Sharda, 1987. "A Simple Model to Estimate Bounds on Total Market Gains and Losses for a Particular Stock," Interfaces, INFORMS, vol. 17(5), pages 43-50, October.

    Cited by:

    1. John Board & Charles Sutcliffe & William T. Ziemba, 2003. "Applying Operations Research Techniques to Financial Markets," Interfaces, INFORMS, vol. 33(2), pages 12-24, April.

  14. Ramesh Sharda & Kathryn D. Musser, 1986. "Financial Futures Hedging Via Goal Programming," Management Science, INFORMS, vol. 32(8), pages 933-947, August.

    Cited by:

    1. Cinzia Colapinto & Raja Jayaraman & Simone Marsiglio, 2017. "Multi-criteria decision analysis with goal programming in engineering, management and social sciences: a state-of-the art review," Annals of Operations Research, Springer, vol. 251(1), pages 7-40, April.
    2. Hinz, Holger, 1990. "Some advances in supporting international financial management decisions," Manuskripte aus den Instituten für Betriebswirtschaftslehre der Universität Kiel 248, Christian-Albrechts-Universität zu Kiel, Institut für Betriebswirtschaftslehre.
    3. Gardner, Everette Jr., 2006. "Exponential smoothing: The state of the art--Part II," International Journal of Forecasting, Elsevier, vol. 22(4), pages 637-666.
    4. Aouni, Belaid & Kettani, Ossama, 2001. "Goal programming model: A glorious history and a promising future," European Journal of Operational Research, Elsevier, vol. 133(2), pages 225-231, January.
    5. Kwak, N. K. & Lee, Changwon, 1998. "A multicriteria decision-making approach to university resource allocations and information infrastructure planning," European Journal of Operational Research, Elsevier, vol. 110(2), pages 234-242, October.
    6. Aouni, Belaid & Colapinto, Cinzia & La Torre, Davide, 2014. "Financial portfolio management through the goal programming model: Current state-of-the-art," European Journal of Operational Research, Elsevier, vol. 234(2), pages 536-545.
    7. Christos Floros & Dimitrios Vougas, 2004. "Hedge ratios in Greek stock index futures market," Applied Financial Economics, Taylor & Francis Journals, vol. 14(15), pages 1125-1136.

  15. Ramesh Sharda, 1984. "Linear Programming on Microcomputers: A Survey," Interfaces, INFORMS, vol. 14(6), pages 27-38, December.

    Cited by:

    1. McCarl, Bruce A., 1986. "Innovations In Programming Techniques For Risk Analysis," Regional Research Projects > 1986: S-180 Annual Meeting, March 23-26, 1986, Tampa, Florida 271825, Regional Research Projects > S-180: An Economic Analysis of Risk Management Strategies for Agricultural Production Firms.

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