Bridging the marketing theory–practice gap with marketing engineering

New developments in marketing management support systems (MMSSs) have provided the marketer with a growing supply of tools that can enrich decision making. In this paper, we describe the concept of marketing engineering — an approach to solving marketing decision problems — popularized by Lilien and Rangaswamy [Lilien GL,Rangaswamy A. Marketing engineering: computer-assisted marketing analysis and planning. Reading, MA: Addison-Wesley, 1998.]. We describe how marketing engineering harnesses marketing data and knowledge to facilitate decision making. We provide several illustrations of the successful application of the marketing engineering concept. We also summarize developments that we believe will further encourage the adoption of the marketing engineering concept and tools for both teaching about marketing decision making, and for improving the practice of marketing decision making. We conclude with some challenges for the academic research community.

[1]  Maryam Alavi,et al.  Revisiting DSS Implementation Research: A Meta-Analysis of the Literature and Suggestions for Researchers , 1992, MIS Q..

[2]  John D. C. Little,et al.  Coverstory: Automated News Finding in Marketing , 1990 .

[3]  Colin F. Camerer,et al.  General conditions for the success of bootstrapping models , 1981 .

[4]  Gary L. Lilien,et al.  New Product and Brand Management: Marketing Engineering Applications , 1998 .

[5]  D. Gensch,et al.  A Choice-Modeling Market Information System That Enabled ABB Electric to Expand Its Market Share , 1990 .

[6]  Berend Wierenga,et al.  Marketing in the New Millennium , 2000 .

[7]  Michael K. Rich Marketing Engineering: : Computer‐Assisted Marketing Analysis and Planning , 1998 .

[8]  Berend Wierenga,et al.  The Integration of Marketing Problem-Solving Modes and Marketing Management Support Systems , 1997 .

[9]  Berend Wierenga,et al.  The Success of Marketing Management Support Systems , 1999 .

[10]  Lewis R. Goldberg,et al.  Man versus model of man: A rationale, plus some evidence, for a method of improving on clinical inferences. , 1970 .

[11]  H. Simon,et al.  Administrative Behavior: A Study of Decision-Making Processes in Administrative Organization. , 1959 .

[12]  Cliff T. Ragsdale,et al.  Spreadsheet modeling and decision analysis , 1996 .

[13]  John D. C. Little,et al.  The Marketing Information Revolution , 1994 .

[14]  Robert C. Blattberg,et al.  Database Models And Managerial Intuition: 50% Model + 50% Manager , 1990 .

[15]  Richard Staelin,et al.  Judgment Based Marketing Decision Models: An Experimental Investigation of the Decision Calculus Approach , 1979 .

[16]  George L. Nemhauser,et al.  Handbooks in operations research and management science , 1989 .

[17]  Rashi Glazer Marketing in an Information-Intensive Environment: Strategic Implications of Knowledge as an Asset , 1991 .

[18]  Ramesh Sharda,et al.  Decision support system effectiveness: a review and an empirical test , 1988 .

[19]  V. Barabba Hearing the voice of the market : competitive advantage through creative use of market information / Vincent P. Barabba, Gerald Zaltman , 1991 .

[20]  Jim Leonard,et al.  Hearing the voice of the market , 1991 .

[21]  Gary L. Lilien,et al.  Marketing Engineering: Computer-Assisted Marketing Analysis and Planning , 1998 .

[22]  Jerry Wind,et al.  Courtyard by Marriott: Designing a Hotel Facility with Consumer-Based Marketing Models , 1989 .

[23]  David E. Gundersen Can DSS Technology Improve Group Decision Performance for End Users?: An Experimental Study , 1995 .

[24]  Jerry Wind,et al.  A Knowledge-Based System for Advertising Design , 1990 .

[25]  Philip Kotler,et al.  A design for the Firm's marketing nerve center , 1966 .

[26]  A. Tversky,et al.  Judgment under Uncertainty , 1982 .

[27]  Fred D. Davis Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology , 1989, MIS Q..

[28]  Richard Staelin Introduction to the Special Issue on Managerial Decision Making , 1999 .

[29]  A. Tversky,et al.  Judgment under Uncertainty: Heuristics and Biases , 1974, Science.

[30]  John D. C. Little,et al.  Models and Managers: The Concept of a Decision Calculus , 2016, Manag. Sci..

[31]  Gerrit van Bruggen,et al.  Improving Decision Making by Means of a Marketing Decision Support System , 1998 .

[32]  M. Bazerman Judgment in Managerial Decision Making , 1990 .

[33]  L. Gary,et al.  ABELL F. Dereck, Defining The Business. The Starting Point of Strategic Planning . USA, Prentice Hall, Englewood Cliffs, New Jersey, 1980. , 1996 .

[34]  Gerrit van Bruggen,et al.  Marketing Management Support Systems , 2000 .

[35]  Gary L. Lilien,et al.  Marketing Engineering: Computer-Assisted Marketing Analysis and Planning , 1998 .

[36]  Donald R. Lehmann,et al.  From Decision Support to Decision Automation: A 2020 Vision , 1998 .

[37]  Shelby H. McIntyre,et al.  An Experimental Study of the Impact of Judgment-Based Marketing Models , 1982 .

[38]  Arvind Rangaswamy Chapter 16 Marketing decision models: From linear programs to knowledge-based systems , 1993, Marketing.

[39]  Stephen G. Powell The Teachers' Forum: From Intelligent Consumer to Active Modeler, Two MBA Success Stories , 1997 .

[40]  Eric T. Bradlow,et al.  Agents to the Rescue? , 1999 .

[41]  L. Lodish,et al.  Sales Force Sizing and Deployment Using a Decision Calculus Model at Syntex Laboratories , 1988 .