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Systems for Supporting Marketing Decisions

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Handbook on Decision Support Systems 2

Part of the book series: International Handbooks Information System ((INFOSYS))

Abstract

Systems to support marketing decisions may be called marketing management support systems (MMSSs), marketing decision support systems (MDSSs) or intelligent MDSSs (IMDSSs). They can assist marketing management in a range of strategic planning, tactical, and decision-making activities. This chapter provides an overview of the history of such systems and the characteristics of the problems they aim to support. It then examines different classifications of such systems, and gives some published measures of the extent of their use and the expressed levels of satisfaction with them of marketing management. The second part describes recent published research in the area. While mentioning the DSS approaches that are used, such as case-based reasoning, neural networks, analytical hierarchy process, and genetic algorithms, it summarizes the research by marketing decision areas. Many of these are classic examples such as marketing strategy, customer segmentation, product pricing, and new product development. Others incorporate the newer marketing channels such as the Internet and mobile phones, or introduce approaches such as CRM and geo-visual marketing. It has been suggested that recommender systems and customer DSSs should be an integral part of marketing management’s decision support portfolio, and these are also discussed here.

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References

  • Adomavicius, G. and A. Tuzhilin, “Personalization Technologies: A Process-oriented Perspective”, CommunACM, 48, 10, 2005, 83-90.

    Google Scholar 

  • Agrawal, R., T. Imielinski and A. Swami, “Mining Association Rules Between Sets of Items in Large Databases”, in Proc ACM SIGMOD Int Conf Manage Data, Washington, D.C., 1993, 207–216.

    Google Scholar 

  • Alexouda, G., “A User-Friendly Marketing Decision Support System for the Product Line Design Using Evolutionary Algorithms”, Decis Support Syst, 38, 2005, 495-509.

    Article  Google Scholar 

  • Bass, F.M., R.D. Buzzell, M.R. Greene, et al., Mathematical Models and Methods in Marketing. Homewood, IL: Irwin, 1961.

    Google Scholar 

  • Changchien, S.W. and M.-C. Lin, “Design and Implementation of a Case-Based Reasoning System for Marketing Plans”, Expert Syst Appl, 28, 2005, 43-53.

    Article  Google Scholar 

  • Chen, Y.-L., K. Tang, R.-J. Shen and Y.-H. Hu, “Market basket analysis in a multiple store environment”, Decis Support Syst, 40, 2005, 339-354.

    Article  Google Scholar 

  • Cheung, K.W., J.T. Kwok, M.H. Law and, K.-C. Tsui, “Mining customer product ratings for personalized marketing”, Decis Support Syst, 35, 2003, 231-243.

    Article  Google Scholar 

  • Daniel, E, H. Wilson and M. McDonald, “Towards a Map of Marketing Information Systems: An Inductive Study,” Eur J Market, 37, 5/6, 2003, 821-847.

    Article  Google Scholar 

  • Davenport, T.H., “Competing on Analytics”, Harvard Bus Rev, January 2006, 98-107.

    Google Scholar 

  • De Reyck, B. and Z. Degraeve, ”MABS: Spreadsheet-based Decision Support for Precision Marketing”, Eur J Oper Res, 171, 2006, 935-950.

    Article  Google Scholar 

  • Eirinaki, M. and M. Vazirgiannis, “Web Mining for Web Personalization”, ACM Trans Internet Technol, 3, 1, 2003, 1-27.

    Article  Google Scholar 

  • El-Ansary, A.I., “Marketing Strategy: Taxonomy and Frameworks”, Eur Bus Rev, 18, 4, 2006, 266-293.

    Article  Google Scholar 

  • Eom, S.B., S.M. Lee, E.B. Kim and C. Somarajan, “A Survey of Decision Support System Applications (1988-1994)”, J Oper Res Soc, 49, 1998, 109-120.

    Article  Google Scholar 

  • Frank, R.E., A.A. Keuhn, and W.F. Massy, Quantitative Techniques in Marketing Analyses. Homewood, IL: Irwin, 1962.

    Google Scholar 

  • Gensch, D. “A Marketing Decision-Support Model for Evaluating and Selecting Concepts for New Products”, Interfaces, 31, 3, S166-S183.

    Google Scholar 

  • Gessner, G.H. and L. Volonino, “Quick Response Improves returns on Business Intelligence Investments”, Inform Syst Manage, Summer 2005, 66-74.

    Google Scholar 

  • Grenci, R.T., “An Adaptable Customer Decision Support System for Custom Configurations”, J Comput Inform Syst, 2005, 56-62.

    Google Scholar 

  • Hart, M.L., “Customer Relationship Management: Are Software Applications Aligned with Business Objectives? South African J Bus Manage 37, 2, 2006, 17-32.

    Google Scholar 

  • Hernandez, T., “Visual Decisions: Geovisualisation Techniques Within Retail Decision Support”, J Targeting, Measure Anal Market, 13, 3, 2005, 209-219.

    Article  Google Scholar 

  • Hess, R.L., R.S. Rubin and L.A. West, “Geographic Information Systems as a Marketing Information System Technology”, Decis Support Syst, 38, 2004, 197-212.

    Article  Google Scholar 

  • Jackson, T.W., “CRM: From ‘Art to Science”’, Database Market Customer Strategy Manage, 13, 1, 2006, 76-92.

    Article  Google Scholar 

  • Johnson-Laird, P.N., “Mental Models”, in Posner, M.I. (ed.) Foundations of Cognitive Science. Cambridge, MA: MIT Press, 1989, 470-499.

    Google Scholar 

  • Jonker, J.-J., N. Piersma and R. Potharst, “A Decision Support System for Direct Mailing Decisions”, Decis Support Syst, 2005, (in press).

    Google Scholar 

  • Karacapilidis, N. and P. Moraitis, “Building an agent-mediated electronic commerce system with decision analysis features”, Decis Support Syst, 32, 2001, 53-69.

    Article  Google Scholar 

  • Karuga, G.G., A.M. Khraban, S.K. Nair and D.O. Rice, “AdPalette: An Algorithm for Customizing Online Advertisements on the Fly”, Decis Support Syst, 32, 2001, 85-106.

    Article  Google Scholar 

  • Keen, P.G.W. and M.S. Scott Morton, Decision support systems: An organizational perspective. Reading, MA: Addison-Wesley, 1978.

    Google Scholar 

  • Kiang, M.Y., M.Y. Hu and D.M. Fisher, “An Extended Self-Organizing Map Network for Market Segmentation – a Telecommunication Example”, Decis Support Syst, 2004, (in press).

    Google Scholar 

  • Kim, Y.S. and W.N. Street, “An Intelligent System for Customer Targeting: A Data Mining Approach”, Decis Support Syst, 37, 2004, 215-228.

    Google Scholar 

  • Kotler, P., “A Design for the Firm’s Marketing Nerve Center”, Business Horizons, 9, 1966, 63-74.

    Article  Google Scholar 

  • Kotler, P., G. Armstrong, P.H. Cunningham and R. Warren, Principles of Marketing (3rd Canadian ed.). Scarborough, Ontario: Prentice-Hall, 1996.

    Google Scholar 

  • Krieger, A.M. and P.E. Green, “A Decision Support Model for Selecting Product/Service Benefit Offerings”, Eur J Oper Res, 142, 2002, 187-202.

    Article  Google Scholar 

  • Lee, W.-P., “Applying Domain Knowledge and Social Information to Product Analysis and Recommendations: An Agent-based Decision Support System”, Expert Syst, 21, 3, 2004, 138-148.

    Article  Google Scholar 

  • Li, E.Y., “Marketing Information Systems in the Top U.S. Companies: A Longitudinal Analysis, Inform Manage, 28, 1995, 13-31.

    Article  Google Scholar 

  • Li, E.Y., “Marketing Information Systems in Small Companies”, Inform Res Manage J, 10, 1, 1997, 27-35.

    Google Scholar 

  • Li, E.Y., R. McLeod and J.C. Rogers, “Marketing Information Systems in Fortune 500 Companies: A Longitudinal Analysis of 1980, 1990, and 2000”, Inform Manage, 38, 2001, 307–322.

    Article  Google Scholar 

  • Li, S., “The Development of a Hybrid Intelligent System for Developing Marketing Strategy”, Decis Support Syst, 27, 2000, 395-409.

    Article  Google Scholar 

  • Li, S., “A Web-enabled Hybrid Approach to Strategic Marketing Planning: Group Delphi + a Web-Based Expert System”, Expert Syst Appl, 29, 2005, 393-400.

    Article  Google Scholar 

  • Li, S., “AgentStra: An Internet-based Multi-agent Intelligent System for Strategic Decision-Making”, Expert Syst Appl, 2006 (in press).

    Google Scholar 

  • Li, S., R. Kinman, Y. Duan and J. Edwards, “Computer-Based Support for Marketing Strategy Development”, Eur J Market, 34, 5/6, 2000, 551-575.

    Article  Google Scholar 

  • Liang, T. and J. Huang, “A framework for applying intelligent agents to support electronic trading”, Decis Support Syst, 28, 2000, 305-317.

    Article  Google Scholar 

  • Lilien, G.L. and P. Kotler, Marketing Decision Making: A Model-Building Approach, New York, NY: Harper & Row, 1983.

    Google Scholar 

  • Lilien, G.L., A. Rangaswamy, G.H. Van Bruggen and K.Starke, ”DSS Effectiveness in Marketing Resource Allocation Decisions: Reality vs Perception”, Inform Syst Res, 15, 3, 2004, 216-235.

    Article  Google Scholar 

  • Little, J.D.C and L.M. Lodish, “A Media Planning Calculus”, Oper Res, 17, January/February, 1969, 1-35.

    Google Scholar 

  • Little, J.D.C., “BRANDAID: A Marketing-Mix Model: Part 1: Structure; and Part 2: Implementation, Calibration and Case Study,” Oper Res, 23, 4, 1975, 628-673.

    Google Scholar 

  • Little, J.D.C., “Comments on ‘Models and Managers: The Concept of a Decision Calculus’: Managerial Models for Practice,” Manage Sci, 50, 12, 2004, 1854-1860.

    Article  Google Scholar 

  • Little, J.D.C., “Models and Managers: The Concept of a Decision Calculus,” Manage Sci, 16, 8, 1970, B466-B485.

    Google Scholar 

  • Liu, D.-R. and Y.-Y. Shih, “Integrating AHP and Data Mining for Product Recommendation Based on Customer Lifetime Value”, Inform Manage, 42, 3, 2005, 387-400.

    Article  Google Scholar 

  • Lodish, L.M.,”CALLPLAN: An Interactive Salesman’s Call Planning System, Part 2”, Manage Sci, 18, 4, 1971, 25-40.

    Article  Google Scholar 

  • Mantrala, M.K. and S. Rao, ”A Decision Support System that Helps Retailers Decide Order Quantities and Markdowns for Fashion Goods”, Interfaces, 31, 3, 2001, S146-S165.

    Article  Google Scholar 

  • Matsatsinis, N.F. and Y. Siskos, Intelligent Support Systems for Marketing Decisions. Norwell, MA: Kluwer Academic, 2003.

    Google Scholar 

  • Miglautsch, J., “Thoughts on RFM Scoring”, J Database Market, 8, 1, 2000, 67-72.

    Article  Google Scholar 

  • Mobasher, B., R. Cooley and J. Srivastava, “Automatic Personalization Based on Web Usage Mining”, Commun ACM, 43, 8, 2000, 42-151.

    Article  Google Scholar 

  • Mohanty, B.K. and B Bhasker, “Product Classification in the Internet Business – a Fuzzy Approach”, Decis Support Syst, 38, 2005, 611-619.

    Article  Google Scholar 

  • Montgomery, D.B., A.J. Silk and C.E. Zaragoza, “A Multiple-product Sales Force Allocation Model, Part 2,” Manage Sci, 18, 4, 1971, 3-24.

    Google Scholar 

  • Montgomery, A.L., “The Implementation Challenge of Pricing Decision Support Systems for Retail Managers”, Appl Stochastic Models Bus Ind, 21, 2005, 367-378.

    Article  Google Scholar 

  • Noori, B. and M.H. Salimi, “A Decision Support System for Business-to-Business Marketing”, J Bus Ind Marketing, 20, 4/5, 2005, 226-236.

    Article  Google Scholar 

  • O’Keefe, R.M. and T. McEachern, “Web-Based Customer Decision Support Systems”, Commun ACM, 41, 3, 1998, 71-78.

    Article  Google Scholar 

  • Peppers, D. and M. Rogers. The One to One Future. New York: Doubleday, 1993.

    Google Scholar 

  • Rao, V.R., “Pricing Models in Marketing”, in Eliashberg, J. and Lilien, G.L. (eds.) Marketing (Handbooks in Operations Research and Management Science, Vol. 5). Amsterdam: North-Holland, 1993, 517-552.

    Google Scholar 

  • Rugg, G, and P. McGeorge, “Laddering”, Expert Syst, 12, 4, 1995, 279-291.

    Google Scholar 

  • Saaty, T.L., Fundamentals of Decision Making and Priority Theory With the Analytical Hierarchy Process. Pittsburgh, PA: RWS, 1994.

    Google Scholar 

  • Shaw, M.J., C. Subramaniam, G.W. Tan and M.E. Welge, “Knowledge Management and Data Mining for Marketing”, Decis Support Syst, 31, 1, 2001, 127–137.

    Article  Google Scholar 

  • Turban, E. and J.E. Aronson, Decision Support and Intelligent Systems, 6th edition, Upper Saddle River, NJ: Prentice Hall, 2001.

    Google Scholar 

  • Urban, G.L., “SPRINTER Mod III: A Model for the Analysis of New Frequently Purchased Consumer Products,” Oper Res, 18, 1970, 805-854.

    Google Scholar 

  • Valentine, S.N. and K. Venkatraman, “Comment on ‘The Implementation Challenge of Pricing Decision Support Systems for Retail Managers”’, Appl Stochastic Models Bus Ind, 21, 2005, 379-381.

    Article  Google Scholar 

  • Van Bruggen, G.H. and B. Wierenga, “Broadening the Perspective on Marketing Decision Models”, Int J Res Market, 17, 2000, 159–168.

    Article  Google Scholar 

  • Van Bruggen, G.H. and B. Wierenga, “Matching Management Support Systems and Managerial Problem-Solving Modes: The Key to Effective Decision Support”, Eur Manage J, 19, 3, 2001, 228-238.

    Article  Google Scholar 

  • Verhoef, P.C., P.N. Spring, J.C. Hoekstra and P.S.H. Leeflang, “The Commercial Use of Segmentation and Predictive Modeling Techniques for Database Marketing in the Netherlands”, Decis Support Syst, 34, 2002, 471-481.

    Article  Google Scholar 

  • Wierenga, B. and G.H Van Bruggen, Marketing Management Support Systems : Principles, Tools and Implementation. Norwell, MA: Kluwer Academic, 2000.

    Google Scholar 

  • Wierenga, B. and G.H. Van Bruggen, “The Integration of Marketing Problem-Solving Modes and Marketing Management Support Systems, J Market, 61, 1997, 21–37.

    Article  Google Scholar 

  • Wierenga, B. and P. A.M. Oude Ophuis, “Marketing Decision Support Systems: Adoption, Use and Satisfaction”, Int J Res Market, 14, 1997, 275-290.

    Article  Google Scholar 

  • Wierenga, B., G.H Van Bruggen and R. Staelin, “The Success of Marketing Management Support Systems”, Market Sci, 18, 3, 1999, 196-207.

    Google Scholar 

  • Wilson, H.N. and M.H.B. McDonald, “An Evaluation of Styles of IT Support for Marketing Planning”, Eur J Market, 35, 7/8, 2001, 815-842.

    Article  Google Scholar 

  • Wilson, H.N., “Towards Rigour in Action Research: A Case Study in Marketing Planning”, Eur J Market, 38, 3/4, 2004, 378-400.

    Article  Google Scholar 

  • Zhang, J. and L. Krishnamurthi, “Customizing Promotions in Online Stores”, Market Sci, 23, 4, 2004, 561-578.

    Article  Google Scholar 

  • Zhong, M., G. Klein, R.A. Pick and J.J. Jiang, “Vector Error-Correction Models in a Consumer Packaged Goods Category Forecasting Decision Support System”, J Comput Inform Syst Fall 2005, 25-34.

    Google Scholar 

  • Zinkhan, G.M., E.A. Joachimsthaler and T.C. Kinnear, “Individual Differences and Marketing Decision Support System Usage and Satisfaction”, J Market Res, 24, May 1987, 208-214.

    Article  Google Scholar 

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Hart, M. (2008). Systems for Supporting Marketing Decisions. In: Handbook on Decision Support Systems 2. International Handbooks Information System. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-48716-6_19

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