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Merchant selection and pricing strategy for a platform firm in the online group buying market

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  • Tomohiro Ando

    (University of Melbourne)

Abstract

The online group-buying market is characterized by intense competition between brokers, called platform firms, which function as intermediaries between merchants and consumers. In an environment of intense competition, merchant selection and pricing strategies are critical for platform firms. This paper employs business analytics to support strategy formulation for these firms by forecasting market demand and analyzing competitive environments. We apply the proposed decision framework, which relies on business analytics, to a study of the online group-buying market in Japan.

Suggested Citation

  • Tomohiro Ando, 2018. "Merchant selection and pricing strategy for a platform firm in the online group buying market," Annals of Operations Research, Springer, vol. 263(1), pages 209-230, April.
    • Handle: RePEc:spr:annopr:v:263:y:2018:i:1:d:10.1007_s10479-015-2036-9
    DOI: 10.1007/s10479-015-2036-9
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    as
    1. K. Sudhir, 2001. "Competitive Pricing Behavior in the Auto Market: A Structural Analysis," Marketing Science, INFORMS, vol. 20(1), pages 42-60, January.
    2. Khouja, Moutaz & Robbins, Stephanie S., 2005. "Optimal pricing and quantity of products with two offerings," European Journal of Operational Research, Elsevier, vol. 163(2), pages 530-544, June.
    3. Jiang, Renna & Manchanda, Puneet & Rossi, Peter E., 2009. "Bayesian analysis of random coefficient logit models using aggregate data," Journal of Econometrics, Elsevier, vol. 149(2), pages 136-148, April.
    4. Nevo, Aviv, 2001. "Measuring Market Power in the Ready-to-Eat Cereal Industry," Econometrica, Econometric Society, vol. 69(2), pages 307-342, March.
    5. Velupillai, K. Vela, 2006. "A disequilibrium macrodynamic model of fluctuations," Journal of Macroeconomics, Elsevier, vol. 28(4), pages 752-767, December.
    6. David Besanko & Sachin Gupta & Dipak Jain, 1998. "Logit Demand Estimation Under Competitive Pricing Behavior: An Equilibrium Framework," Management Science, INFORMS, vol. 44(11-Part-1), pages 1533-1547, November.
    7. Peter Davis, 2006. "Spatial competition in retail markets: movie theaters," RAND Journal of Economics, The RAND Corporation, vol. 37(4), pages 964-982, December.
    8. Amemiya, Takeshi, 1974. "The nonlinear two-stage least-squares estimator," Journal of Econometrics, Elsevier, vol. 2(2), pages 105-110, July.
    9. Robert Phillips & A. Serdar Şimşek & Garrett van Ryzin, 2015. "The Effectiveness of Field Price Discretion: Empirical Evidence from Auto Lending," Management Science, INFORMS, vol. 61(8), pages 1741-1759, August.
    10. Hurlin, Christophe & Kierzenkowski, Rafal, 2007. "Credit market disequilibrium in Poland: Can we find what we expect?: Non-stationarity and the short-side rule," Economic Systems, Elsevier, vol. 31(2), pages 157-183, June.
    11. Steven T. Berry, 1994. "Estimating Discrete-Choice Models of Product Differentiation," RAND Journal of Economics, The RAND Corporation, vol. 25(2), pages 242-262, Summer.
    12. Atanasova, Christina V. & Wilson, Nicholas, 2004. "Disequilibrium in the UK corporate loan market," Journal of Banking & Finance, Elsevier, vol. 28(3), pages 595-614, March.
    13. Pradeep Chintagunta & Jean-Pierre Dubé & Khim Yong Goh, 2005. "Beyond the Endogeneity Bias: The Effect of Unmeasured Brand Characteristics on Household-Level Brand Choice Models," Management Science, INFORMS, vol. 51(5), pages 832-849, May.
    14. Pradeep K. Chintagunta, 2001. "Endogeneity and Heterogeneity in a Probit Demand Model: Estimation Using Aggregate Data," Marketing Science, INFORMS, vol. 20(4), pages 442-456, December.
    15. Peter Davis, 2006. "Spatial competition in retail markets: movie theaters," RAND Journal of Economics, RAND Corporation, vol. 37(4), pages 964-982, December.
    16. Chang, Horng-Jinh & Teng, Jinn-Tsair & Ouyang, Liang-Yuh & Dye, Chung-Yuan, 2006. "Retailer's optimal pricing and lot-sizing policies for deteriorating items with partial backlogging," European Journal of Operational Research, Elsevier, vol. 168(1), pages 51-64, January.
    17. Aviv Nevo, 2000. "Mergers with Differentiated Products: The Case of the Ready-to-Eat Cereal Industry," RAND Journal of Economics, The RAND Corporation, vol. 31(3), pages 395-421, Autumn.
    18. Xing, Wei & Wang, Shouyang & Liu, Liming, 2012. "Optimal ordering and pricing strategies in the presence of a B2B spot market," European Journal of Operational Research, Elsevier, vol. 221(1), pages 87-98.
    19. Khouja, Moutaz & Smith, Michael Alan, 2007. "Optimal pricing for information goods with piracy and saturation effect," European Journal of Operational Research, Elsevier, vol. 176(1), pages 482-497, January.
    20. Parsons, Andrew G. & Ballantine, Paul W. & Ali, Ashleigh & Grey, Hannah, 2014. "Deal is on! Why people buy from daily deal websites," Journal of Retailing and Consumer Services, Elsevier, vol. 21(1), pages 37-42.
    21. Fair, Ray C & Kelejian, Harry H, 1974. "Methods of Estimation for Markets in Disequilibrium: A Further Study," Econometrica, Econometric Society, vol. 42(1), pages 177-190, January.
    22. Cao, Ping & Li, Jianbin & Yan, Hong, 2012. "Optimal dynamic pricing of inventories with stochastic demand and discounted criterion," European Journal of Operational Research, Elsevier, vol. 217(3), pages 580-588.
    23. Berry, Steven & Levinsohn, James & Pakes, Ariel, 1995. "Automobile Prices in Market Equilibrium," Econometrica, Econometric Society, vol. 63(4), pages 841-890, July.
    24. K. Sudhir, 2001. "Competitive Pricing Behavior in the US Auto Market: A Structural Analysis," Yale School of Management Working Papers ysm228, Yale School of Management.
    25. Riddel, Mary, 2004. "Housing-market disequilibrium: an examination of housing-market price and stock dynamics 1967-1998," Journal of Housing Economics, Elsevier, vol. 13(2), pages 120-135, June.
    26. Hartley, Michael J, 1976. "The Estimation of Markets in Disequilibrium: The Fixed Supply Case," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 17(3), pages 687-699, October.
    27. Fair, Ray C & Jaffee, Dwight M, 1972. "Methods of Estimation for Markets in Disequilibrium," Econometrica, Econometric Society, vol. 40(3), pages 497-514, May.
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    Cited by:

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    2. K. Coussement & K. W. Bock & S. Geuens, 2022. "A decision-analytic framework for interpretable recommendation systems with multiple input data sources: a case study for a European e-tailer," Annals of Operations Research, Springer, vol. 315(2), pages 671-694, August.
    3. Liu, Weihua & Yan, Xiaoyu & Wei, Wanying & Xie, Dong, 2019. "Pricing decisions for service platform with provider’s threshold participating quantity, value-added service and matching ability," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 122(C), pages 410-432.

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