IDEAS home Printed from https://ideas.repec.org/a/eee/ejores/v113y1999i2p336-354.html
   My bibliography  Save this article

MARKEX: An intelligent decision support system for product development decisions

Author

Listed:
  • Matsatsinis, Nikolaos F.
  • Siskos, Yannis

Abstract

No abstract is available for this item.

Suggested Citation

  • Matsatsinis, Nikolaos F. & Siskos, Yannis, 1999. "MARKEX: An intelligent decision support system for product development decisions," European Journal of Operational Research, Elsevier, vol. 113(2), pages 336-354, March.
    • Handle: RePEc:eee:ejores:v:113:y:1999:i:2:p:336-354
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0377-2217(98)00220-3
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Jacquet-Lagreze, E. & Siskos, J., 1982. "Assessing a set of additive utility functions for multicriteria decision-making, the UTA method," European Journal of Operational Research, Elsevier, vol. 10(2), pages 151-164, June.
    2. McFadden, Daniel, 1980. "Econometric Models for Probabilistic Choice among Products," The Journal of Business, University of Chicago Press, vol. 53(3), pages 13-29, July.
    3. Baourakis, G. & Matsatsinis, N. F. & Siskos, Y., 1996. "Agricultural product development using multidimensional and multicriteria analyses: The case of wine," European Journal of Operational Research, Elsevier, vol. 94(2), pages 321-334, October.
    4. Manrai, Ajay K., 1995. "Mathematical models of brand choice behavior," European Journal of Operational Research, Elsevier, vol. 82(1), pages 1-17, April.
    5. Jehoshua Eliashberg, 1980. "Consumer Preference Judgments: An Exposition with Empirical Applications," Management Science, INFORMS, vol. 26(1), pages 60-77, January.
    6. Matthew J. Liberatore & Anthony C. Stylianou, 1995. "Expert Support Systems for New Product Development Decision Making: A Modeling Framework and Applications," Management Science, INFORMS, vol. 41(8), pages 1296-1316, August.
    7. Daniel L. McFadden, 1976. "Quantal Choice Analysis: A Survey," NBER Chapters, in: Annals of Economic and Social Measurement, Volume 5, number 4, pages 363-390, National Bureau of Economic Research, Inc.
    8. John R. Hauser & Glen L. Urban, 1977. "A Normative Methodology for Modeling Consumer Response to Innovation," Operations Research, INFORMS, vol. 25(4), pages 579-619, August.
    9. Magid M. Abraham & Leonard M. Lodish, 1987. "Promoter: An Automated Promotion Evaluation System," Marketing Science, INFORMS, vol. 6(2), pages 101-123.
    10. Raymond R. Burke & Arvind Rangaswamy & Jerry Wind & Jehoshua Eliashberg, 1990. "A Knowledge-Based System for Advertising Design," Marketing Science, INFORMS, vol. 9(3), pages 212-229.
    11. Hauser, John R & Urban, Glen L, 1979. "Assessment of Attribute Importances and Consumer Utility Functions: von Neumann-Morgenstern Theory Applied to Consumer Behavior," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 5(4), pages 251-262, March.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Samaras, Georgios D. & Matsatsinis, Nikolaos F. & Zopounidis, Constantin, 2008. "A multicriteria DSS for stock evaluation using fundamental analysis," European Journal of Operational Research, Elsevier, vol. 187(3), pages 1380-1401, June.
    2. Alexouda, Georgia & Paparrizos, Konstantinos, 2001. "A genetic algorithm approach to the product line design problem using the seller's return criterion: An extensive comparative computational study," European Journal of Operational Research, Elsevier, vol. 134(1), pages 165-178, October.
    3. N. F. Matsatsinis & E. Grigoroudis & A. Samaras, 2005. "Aggregation and Disaggregation of Preferences for Collective Decision-Making," Group Decision and Negotiation, Springer, vol. 14(3), pages 217-232, May.
    4. Loebbecke, Claudia & Huyskens, Claudio, 2009. "Development of a model-based netsourcing decision support system using a five-stage methodology," European Journal of Operational Research, Elsevier, vol. 195(3), pages 653-661, June.
    5. Dimitrios Chelioudakis & Fotini Kalafati & Efstathios Gerampinis & Nikolaos F. Matsatsinis, 2024. "A web-based multi-criteria decision support system for benchmarking marketing decisions alternatives," Operational Research, Springer, vol. 24(3), pages 1-31, September.
    6. Liu, Jiapeng & Liao, Xiuwu & Huang, Wei & Liao, Xianzhao, 2019. "Market segmentation: A multiple criteria approach combining preference analysis and segmentation decision," Omega, Elsevier, vol. 83(C), pages 1-13.
    7. Siskos, Y. & Spyridakos, A., 1999. "Intelligent multicriteria decision support: Overview and perspectives," European Journal of Operational Research, Elsevier, vol. 113(2), pages 236-246, March.
    8. Kadziński, Miłosz & Wójcik, Michał & Ciomek, Krzysztof, 2022. "Review and experimental comparison of ranking and choice procedures for constructing a univocal recommendation in a preference disaggregation setting," Omega, Elsevier, vol. 113(C).
    9. Juan Carlos Leyva López & Jesús Jaime Solano Noriega & Omar Ahumada Valenzuela & Alma Montserrat Romero Serrano, 2022. "A preference choice model for the new product design problem," Operational Research, Springer, vol. 22(4), pages 1-32, September.
    10. S Tsafarakis & E Grigoroudis & N Matsatsinis, 2011. "Consumer choice behaviour and new product development: an integrated market simulation approach," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 62(7), pages 1253-1267, July.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Filip Matêjka & Alisdair McKay, 2015. "Rational Inattention to Discrete Choices: A New Foundation for the Multinomial Logit Model," American Economic Review, American Economic Association, vol. 105(1), pages 272-298, January.
    2. Baltas, George & Doyle, Peter, 2001. "Random utility models in marketing research: a survey," Journal of Business Research, Elsevier, vol. 51(2), pages 115-125, February.
    3. Jacquet-Lagreze, Eric & Siskos, Yannis, 2001. "Preference disaggregation: 20 years of MCDA experience," European Journal of Operational Research, Elsevier, vol. 130(2), pages 233-245, April.
    4. Roland T. Rust & J. Jeffrey Inman & Jianmin Jia & Anthony Zahorik, 1999. "What You Know About Customer-Perceived Quality: The Role of Customer Expectation Distributions," Marketing Science, INFORMS, vol. 18(1), pages 77-92.
    5. Juan Carlos Leyva López & Jesús Jaime Solano Noriega & Omar Ahumada Valenzuela & Alma Montserrat Romero Serrano, 2022. "A preference choice model for the new product design problem," Operational Research, Springer, vol. 22(4), pages 1-32, September.
    6. John R. Hauser & Steven Shugan, 1978. "Intensity Measures of Consumer Preferences," Discussion Papers 291, Northwestern University, Center for Mathematical Studies in Economics and Management Science.
    7. Baltas, George, 2004. "A model for multiple brand choice," European Journal of Operational Research, Elsevier, vol. 154(1), pages 144-149, April.
    8. Breitmoser, Yves, 2018. "The Axiomatic Foundation of Logit," Rationality and Competition Discussion Paper Series 78, CRC TRR 190 Rationality and Competition.
    9. Baourakis, G. & Matsatsinis, N. F. & Siskos, Y., 1996. "Agricultural product development using multidimensional and multicriteria analyses: The case of wine," European Journal of Operational Research, Elsevier, vol. 94(2), pages 321-334, October.
    10. Weck-Hannemann, Hannelore, 1989. "Protectionism in direct democracy," Discussion Papers, Series II 79, University of Konstanz, Collaborative Research Centre (SFB) 178 "Internationalization of the Economy".
    11. Ichimura, Hidehiko & Thompson, T. Scott, 1998. "Maximum likelihood estimation of a binary choice model with random coefficients of unknown distribution," Journal of Econometrics, Elsevier, vol. 86(2), pages 269-295, June.
    12. Paleti, Rajesh, 2018. "Generalized multinomial probit Model: Accommodating constrained random parameters," Transportation Research Part B: Methodological, Elsevier, vol. 118(C), pages 248-262.
    13. Li, Hui & Xu, Yunjie & Huang, Lihua, 2021. "When less is more? The contingent effect of product supply limitation in the release of new electronic products," Journal of Retailing and Consumer Services, Elsevier, vol. 60(C).
    14. Kadziński, MiŁosz & Greco, Salvatore & SŁowiński, Roman, 2012. "Extreme ranking analysis in robust ordinal regression," Omega, Elsevier, vol. 40(4), pages 488-501.
    15. Nguyen-Phuoc, Duy Q. & Currie, Graham & De Gruyter, Chris & Young, William, 2018. "Transit user reactions to major service withdrawal – A behavioural study," Transport Policy, Elsevier, vol. 64(C), pages 29-37.
    16. Haaijer, Marinus E., 1996. "Predictions in conjoint choice experiments : the x-factor probit model," Research Report 96B22, University of Groningen, Research Institute SOM (Systems, Organisations and Management).
    17. Zhang, Boyu & Hofbauer, Josef, 2016. "Quantal response methods for equilibrium selection in 2×2 coordination games," Games and Economic Behavior, Elsevier, vol. 97(C), pages 19-31.
    18. Sandeep Rath & Kumar Rajaram, 2022. "Staff Planning for Hospitals with Implicit Cost Estimation and Stochastic Optimization," Production and Operations Management, Production and Operations Management Society, vol. 31(3), pages 1271-1289, March.
    19. Scharfenaker, Ellis, 2020. "Implications of quantal response statistical equilibrium," Journal of Economic Dynamics and Control, Elsevier, vol. 119(C).
    20. Mengel, F. & Tsakas, E. & Vostroknutov, A., 2011. "Decision making with imperfect knowledge of the state space," Research Memorandum 013, Maastricht University, Maastricht Research School of Economics of Technology and Organization (METEOR).

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:ejores:v:113:y:1999:i:2:p:336-354. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/eor .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.