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Differentiated effect of advertising: Joint vs. separate consumption

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  • Park, Sangwon
  • Nicolau, Juan L.

Abstract

In a context of intense competition, cooperative advertising between firms is critical. Accordingly, the objective of this article is to analyze the potential differentiated effect of advertising on two basic consumption patterns: individual products (i.e. hotel, restaurant) vs. bundle (i.e. hotel + restaurant). This research adds to the extant literature in that, for the first time, this potential differentiated effect is examined through a hierarchical modelling framework that reflects the way people make their decisions: first, they decide whether to visit or not a region; second, whether to purchase an advertised product in that region; and third, whether to buy products together or separately at the region. The empirical analysis, applied to a sample of 11,288 individuals, shows that the influence of advertising is positive for the decisions to visit and to purchase; however, when it comes to the joint or separate consumption, advertising has a differentiated effect: its impact is much greater on the joint alternative (“hotel + restaurant”) than the separate options (“hotel” and “restaurant”). Also, the variable distance moderates the advertising effect.

Suggested Citation

  • Park, Sangwon & Nicolau, Juan L., 2015. "Differentiated effect of advertising: Joint vs. separate consumption," Tourism Management, Elsevier, vol. 47(C), pages 107-114.
    • Handle: RePEc:eee:touman:v:47:y:2015:i:c:p:107-114
    DOI: 10.1016/j.tourman.2014.09.018
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    1. P. Seetharaman & Siddhartha Chib & Andrew Ainslie & Peter Boatwright & Tat Chan & Sachin Gupta & Nitin Mehta & Vithala Rao & Andrei Strijnev, 2005. "Models of Multi-Category Choice Behavior," Marketing Letters, Springer, vol. 16(3), pages 239-254, December.
    2. Aust, Gerhard & Buscher, Udo, 2014. "Cooperative advertising models in supply chain management: A review," European Journal of Operational Research, Elsevier, vol. 234(1), pages 1-14.
    3. Hamid Hamoudi & Marta Risueño, 2012. "The Effects Of Zoning In Spatial Competition," Journal of Regional Science, Wiley Blackwell, vol. 52(2), pages 361-374, May.
    4. Bart Lambregts, 2008. "Geographies of Knowledge Formation in Mega-City Regions: Some Evidence from the Dutch Randstad," Regional Studies, Taylor & Francis Journals, vol. 42(8), pages 1173-1186.
    5. Brownstone, David & Train, Kenneth, 1998. "Forecasting new product penetration with flexible substitution patterns," Journal of Econometrics, Elsevier, vol. 89(1-2), pages 109-129, November.
    6. Ahmadi-Javid, Amir & Hoseinpour, Pooya, 2012. "On a cooperative advertising model for a supply chain with one manufacturer and one retailer," European Journal of Operational Research, Elsevier, vol. 219(2), pages 458-466.
    7. Puneet Manchanda & Asim Ansari & Sunil Gupta, 1999. "The “Shopping Basket”: A Model for Multicategory Purchase Incidence Decisions," Marketing Science, INFORMS, vol. 18(2), pages 95-114.
    8. Martin, Drew, 2010. "Uncovering unconscious memories and myths for understanding international tourism behavior," Journal of Business Research, Elsevier, vol. 63(4), pages 372-383, April.
    9. Klein, Lisa R., 1998. "Evaluating the Potential of Interactive Media through a New Lens: Search versus Experience Goods," Journal of Business Research, Elsevier, vol. 41(3), pages 195-203, March.
    10. Kenneth Train ., 2000. "Halton Sequences for Mixed Logit," Economics Working Papers E00-278, University of California at Berkeley.
    11. Daniel McFadden & Kenneth Train, 2000. "Mixed MNL models for discrete response," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 15(5), pages 447-470.
    12. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521747387, July.
    13. Jie Zhang & Bjarne Madsen & Chris Jensen-Butler, 2007. "Regional Economic Impacts of Tourism: The Case of Denmark," Regional Studies, Taylor & Francis Journals, vol. 41(6), pages 839-854.
    14. Karen Polenske, 2004. "Competition, Collaboration and Cooperation: An Uneasy Triangle in Networks of Firms and Regions," Regional Studies, Taylor & Francis Journals, vol. 38(9), pages 1029-1043.
    15. Jason Barr, 2013. "Skyscrapers And Skylines: New York And Chicago, 1885–2007," Journal of Regional Science, Wiley Blackwell, vol. 53(3), pages 369-391, August.
    16. Brownstone, David & Train, Kenneth, 1999. "Forecasting new product penetration with flexible substitution patterns," Department of Economics, Working Paper Series qt1j6814b3, Department of Economics, Institute for Business and Economic Research, UC Berkeley.
    17. Aust, Gerhard & Buscher, Udo, 2012. "Vertical cooperative advertising and pricing decisions in a manufacturer–retailer supply chain: A game-theoretic approach," European Journal of Operational Research, Elsevier, vol. 223(2), pages 473-482.
    18. Shiuh-Shen Chien & Ian Gordon, 2008. "Territorial Competition in China and the West," Regional Studies, Taylor & Francis Journals, vol. 42(1), pages 31-49.
    19. Yasemin Boztuğ & Lutz Hildebrandt, 2008. "Modeling Joint Purchases with a Multivariate MNL Approach," Schmalenbach Business Review (sbr), LMU Munich School of Management, vol. 60(4), pages 400-422, October.
    20. Beltran-Royo, C. & Zhang, H. & Blanco, L.A. & Almagro, J., 2013. "Multistage multiproduct advertising budgeting," European Journal of Operational Research, Elsevier, vol. 225(1), pages 179-188.
    21. Bettman, James R & Park, C Whan, 1980. "Effects of Prior Knowledge and Experience and Phase of the Choice Process on Consumer Decision Processes: A Protocol Analysis," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 7(3), pages 234-248, December.
    22. Stigler, George J., 2011. "Economics of Information," Ekonomicheskaya Politika / Economic Policy, Russian Presidential Academy of National Economy and Public Administration, vol. 5, pages 35-49.
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    1. Jiang, Kai & Luk, Sherriff Ting-kwong & Cardinali, Silvio, 2018. "The role of pre-consumption experience in perceived value of retailer brands: Consumers' experience from emerging markets," Journal of Business Research, Elsevier, vol. 86(C), pages 374-385.
    2. Jackson de Souza & Luiz Mendes-Filho & Dimitrios Buhalis, 2020. "Evaluating the effectiveness of tourist advertising to improve the competitiveness of destinations," Tourism Economics, , vol. 26(6), pages 1001-1020, September.
    3. Veronica Digiorgio, 2016. "Impact of promotional tools on reservation channels management: a descriptive model of Italian accommodation facilities," Information Technology & Tourism, Springer, vol. 16(4), pages 347-373, December.

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