IDEAS home Printed from https://ideas.repec.org/a/inm/ormksc/v37y2018i5p685-687.html
   My bibliography  Save this article

Practice Prize Report: The 2016 ISMS Gary Lilien Practice Prize Competition

Author

Listed:
  • John H. Roberts

    (University of New South Wales, Sydney, New South Wales 2052, Australia)

Abstract

This report describes entrants in the 2016 ISMS Gary Lilien Marketing Science Practice Prize Competition, representing the best examples of rigor plus relevance that our profession produces. The winner, describing a collaboration between the World Bank and a team based at the London Business School, involved a randomized control experiment to calibrate the relative effectiveness of business training on business performance of microentrepreneurs in South Africa. The other four finalists include a method to estimate the value of key word searches that allowed for cannibalization of organic search at eBay; a methodology to model and manage customer satisfaction at the National Dutch Railways; a stock-carrying algorithm to assist a fashion department store manage inventory on a store-by-store basis, implemented by Celect, an inventory-management consultant based in Boston; and an integrated marketing communications-optimization tool used by Mercedes-Benz to increase advertising effectiveness.

Suggested Citation

  • John H. Roberts, 2018. "Practice Prize Report: The 2016 ISMS Gary Lilien Practice Prize Competition," Marketing Science, INFORMS, vol. 37(5), pages 685-687, September.
  • Handle: RePEc:inm:ormksc:v:37:y:2018:i:5:p:685-687
    DOI: 10.1287/mksc.2018.1130
    as

    Download full text from publisher

    File URL: https://doi.org/10.1287/mksc.2018.1130
    Download Restriction: no

    File URL: https://libkey.io/10.1287/mksc.2018.1130?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Gary L. Lilien & John H. Roberts & Venkatesh Shankar, 2013. "Effective Marketing Science Applications: Insights from the ISMS-MSI Practice Prize Finalist Papers and Projects," Marketing Science, INFORMS, vol. 32(2), pages 229-245, March.
    2. Thomas Blake & Chris Nosko & Steven Tadelis, 2015. "Consumer Heterogeneity and Paid Search Effectiveness: A Large‐Scale Field Experiment," Econometrica, Econometric Society, vol. 83, pages 155-174, January.
    3. Vivek F. Farias & Srikanth Jagabathula & Devavrat Shah, 2013. "A Nonparametric Approach to Modeling Choice with Limited Data," Management Science, INFORMS, vol. 59(2), pages 305-322, December.
    4. Stephen J. Anderson & Rajesh Chandy & Bilal Zia, 2018. "Pathways to Profits: The Impact of Marketing vs. Finance Skills on Business Performance," Management Science, INFORMS, vol. 64(12), pages 5559-5583, December.
    Full references (including those not matched with items on IDEAS)

    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. Navdeep Sahni, 2015. "Effect of temporal spacing between advertising exposures: Evidence from online field experiments," Quantitative Marketing and Economics (QME), Springer, vol. 13(3), pages 203-247, September.
    2. Khouja, Moutaz & Subramaniam, Chandra & Vasudev, Vinay, 2020. "A comparative analysis of marketing promotions and implications for data analytics," International Journal of Research in Marketing, Elsevier, vol. 37(1), pages 151-174.
    3. Bradley T. Shapiro, 2020. "Advertising in Health Insurance Markets," Marketing Science, INFORMS, vol. 39(3), pages 587-611, May.
    4. Abhishek Borah & Xin (Shane) Wang & Jun Hyun (Joseph) Ryoo, 2018. "Understanding Influence of Marketing Thought on Practice: an Analysis of Business Journals Using Textual and Latent Dirichlet Allocation (LDA) Analysis," Customer Needs and Solutions, Springer;Institute for Sustainable Innovation and Growth (iSIG), vol. 5(3), pages 146-161, December.
    5. Randall Lewis & Dan Nguyen, 2015. "Display advertising’s competitive spillovers to consumer search," Quantitative Marketing and Economics (QME), Springer, vol. 13(2), pages 93-115, June.
    6. Gambardella, Alfonso & Camuffo, Arnaldo & Spina, Chiara, 2020. "Small Changes with Big Impact: Experimental Evidence of a Scientific Approach to the Decision-Making of Entrepreneurial Firms," CEPR Discussion Papers 14909, C.E.P.R. Discussion Papers.
    7. Jacob LaRiviere & Mikolaj Czajkowski & Nick Hanley & Katherine Simpson, 2016. "What is the Causal Impact of Knowledge on Preferences in Stated Preference Studies?," Working Papers 2016-12, Faculty of Economic Sciences, University of Warsaw.
    8. Guang Li & Paat Rusmevichientong & Huseyin Topaloglu, 2015. "The d -Level Nested Logit Model: Assortment and Price Optimization Problems," Operations Research, INFORMS, vol. 63(2), pages 325-342, April.
    9. Zhen-Yu Chen & Xin-Li Liu & Li-Ping Yin, 2023. "Data-driven product configuration improvement and product line restructuring with text mining and multitask learning," Journal of Intelligent Manufacturing, Springer, vol. 34(4), pages 2043-2059, April.
    10. Dimitris Bertsimas & Allison O'Hair, 2013. "Learning Preferences Under Noise and Loss Aversion: An Optimization Approach," Operations Research, INFORMS, vol. 61(5), pages 1190-1199, October.
    11. Frank Germann & Gary L. Lilien & Christine Moorman & Lars Fiedler & Till Groβmaβ, 2020. "Driving Customer Analytics From the Top," Customer Needs and Solutions, Springer;Institute for Sustainable Innovation and Growth (iSIG), vol. 7(3), pages 43-61, October.
    12. Sviták, Jan & Tichem, Jan & Haasbeek, Stefan, 2021. "Price effects of search advertising restrictions," International Journal of Industrial Organization, Elsevier, vol. 77(C).
    13. Matveenko, Andrei & Starkov, Egor, 2023. "Sparking curiosity or tipping the scales? Targeted advertising with consumer learning," Journal of Economic Behavior & Organization, Elsevier, vol. 213(C), pages 172-192.
    14. Francesco Decarolis & Maris Goldmanis & Antonio Penta, 2020. "Marketing Agencies and Collusive Bidding in Online Ad Auctions," Management Science, INFORMS, vol. 66(10), pages 4433-4454, October.
    15. George Z. Gui, 2024. "Combining Observational and Experimental Data to Improve Efficiency Using Imperfect Instruments," Marketing Science, INFORMS, vol. 43(2), pages 378-391, March.
    16. Zhenzhen Yan & Karthik Natarajan & Chung Piaw Teo & Cong Cheng, 2022. "A Representative Consumer Model in Data-Driven Multiproduct Pricing Optimization," Management Science, INFORMS, vol. 68(8), pages 5798-5827, August.
    17. Haoyan Sun & Ming Fan & Yong Tan, 2020. "An Empirical Analysis of Seller Advertising Strategies in an Online Marketplace," Information Systems Research, INFORMS, vol. 31(1), pages 37-56, March.
    18. Ruxian Wang & Maqbool Dada & Ozge Sahin, 2019. "Pricing Ancillary Service Subscriptions," Management Science, INFORMS, vol. 65(10), pages 4712-4732, October.
    19. Stefan Bechtold & Catherine Tucker, 2014. "Trademarks, Triggers, and Online Search," Journal of Empirical Legal Studies, John Wiley & Sons, vol. 11(4), pages 718-750, December.
    20. Wei Zhou & Zidong Wang, 2020. "Competing for Search Traffic in Query Markets: Entry Strategy, Platform Design, and Entrepreneurship," Working Papers 20-12, NET Institute.

    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:inm:ormksc:v:37:y:2018:i:5:p:685-687. 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: Chris Asher (email available below). General contact details of provider: https://edirc.repec.org/data/inforea.html .

    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.