De que forma os preços variam em sites de comparação? influência do cashback e da estrutura de mercado na dinâmica de preços

Autores/as

DOI:

https://doi.org/10.5585/remark.v23i2.25391

Palabras clave:

Cashback; Comércio eletrônico; Dispersão de preços; Estrutura de mercado; Precificação

Resumen

Objetivo: Este artigo analisa como as ofertas com cashback e a estrutura de mercado influenciam os níveis de dispersão de preços em sites de comparação no comércio eletrônico brasileiro.

Método: Com uma base de 210 observações extraídas de sites brasileiros de comparação de preços, desenvolvemos quatro modelos de Análise de Regressão Múltipla com termo interativo, para testar as cinco hipóteses do estudo.

Resultados: Suportamos cinco hipóteses que revelam como a dispersão de preços é influenciada por estratégias diferenciadas de preços no comércio eletrônico. Como resultado principal temos que a presença de um maior número de ofertas com cashback em uma lista de preços está associada a níveis ampliados de dispersão de preços nos sites de comparação. A introdução de novos concorrentes exerce uma influência redutora sobre a dispersão de preços, em virtude da maior transparência e competitividade resultantes.

Contribuições teóricas: Este estudo contribui no campo dos estudos de marketing voltados para estratégias de precificação, com destaque para a dispersão de preços relacionada à estratégia de cashback no ambiente do comércio eletrônico.

Implicações gerenciais: Com os resultados da pesquisa, os gestores de preços de sites de comparação e de lojas terão informações mais transparentes para administrar a implementação da estratégia de cashback.

Originalidade: Distinto dos estudos anteriores, que estudam a dinâmica de preços no ambiente digital, nosso estudo acrescenta evidências da influência da estratégia cashback a essa dinâmica em sites de comparação de preços.

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Biografía del autor/a

Ananias Costa Oliveira , Universidade Federal do Amapá – UNIFAP

Doutorado em Administração

 

 

Marcos Inácio Severo de Almeida , Universidade Federal de Goiás – UFG

Doutorado em Administração

 

Giuliana Isabella, Insper - Instituto de Ensino e Pesquisa

Doutorado em Administração de empresas

 

Citas

ABComm. (2023). Principais Indicadores do e-Commerce. Números do e-commerce 2023. https://dados.abcomm.org/numeros-do-ecommerce-brasileiro

Ancarani, F., & Shankar, V. (2004). Price Levels and Price Dispersion Within and Across Multiple Retailer Types: Further Evidence and Extension. Journal of the Academy of Marketing Science, 32(2), 176–187. https://doi.org/10.1177/0092070303261464

Ballestar, M. T., Grau-Carles, P., & Sainz, J. (2016). Consumer behavior on cashback websites: Network strategies. Journal of Business Research, 69(6), 2101–2107. https://doi.org/10.1016/j.jbusres.2015.12.015

Ballestar, M. T., Grau-Carles, P., & Sainz, J. (2018). Customer segmentation in e-commerce: Applications to the cashback business model. Journal of Business Research, 88(June 2017), 407–414. https://doi.org/10.1016/j.jbusres.2017.11.047

Baye, M. R., & Morgan, J. (2004). Price Dispersion in the Lab and on the Internet: Theory and Evidence. The RAND Journal of Economics, 35(3), 449. https://doi.org/10.2307/1593702

Bodur, H. O., Klein, N. M., & Arora, N. (2015). Online price search: Impact of price comparison sites on offline price evaluations. Journal of Retailing, 91(1), 125–139. https://doi.org/10.1016/j.jretai.2014.09.003

Brynjolfsson, E., & Smith, M. D. (2000). Frictionless commerce? A comparison of Internet and conventional retailers. Management Science, 46(4), 563–585. https://doi.org/10.1287/mnsc.46.4.563.12061

Burdett, K., & Judd, K. L. (1983). Equilibrium Price Dispersion. Econometrica, 51(4), 955–969. https://doi.org/10.2307/1912045

Chen, C., & Duan, Y. (2021). Online cash-back shopping with network externalities. Infor, 59(1), 26–52. https://doi.org/10.1080/03155986.2020.1774300

Chen, J., & Scholten, P. (2003). Price Dispersion, Product Characteristics, and Firms’ Behaviors: Stylized Facts From Shopper.Com. Advances in Applied Microeconomics, 12, 143–164. https://doi.org/10.1016/S0278-0984(03)12006-8

Chen, W., Katehakis, M., & Tang, Q. (2022). Dynamic inventory system with pricing adjustment for price-comparison shoppers. Applied Stochastic Models in Business and Industry. https://doi.org/10.1002/asmb.2737

Cheng, L. L., & Monroe, K. B. (2013). An appraisal of behavioral price research (part 1): Price as a physical stimulus. AMS Review, 3(3), 103–129. https://doi.org/10.1007/s13162-013-0041-1

Chiu, Y. L., Du, J., & Wang, J. N. (2022). The Effects of Price Dispersion on Sales in the Automobile Industry: A Dynamic Panel Analysis. SAGE Open, 12(3). https://doi.org/10.1177/21582440221120647

Choi, S., & Mattila, A. S. (2009). Perceived Fairness of Price Differences Across Channels: The Moderating Role of Price Frame and Norm Perceptions. Journal of Marketing Theory and Practice, 17(1), 37–48. https://doi.org/10.2753/MTP1069-6679170103

Clay, K., Krishnan, R., Wolff, E., & Fernandes, D. (2002). Retail Strategies on the Web: Price and Non- Price Competition in the Online Book Industry. Journal of Industrial Economics, 50(3), 351–367. https://doi.org/10.1111/1467-6451.00181

De Toni, D., Zielke, S., & Mazzon, J. A. (2023). The influence of brand knowledge and price tiers on purchasing behavior. ReMark - Revista Brasileira de Marketing, 22(2), 469–536. https://doi.org/10.5585/remark.v22i2.22167

Drechsler, W., & Natter, M. (2011). Do Price Charts Provided by Online Shopbots Influence Price Expectations and Purchase Timing Decisions? Journal of Interactive Marketing, 25(2), 95–109. https://doi.org/10.1016/j.intmar.2011.02.001

Elshiewy, O., & Peschel, A. O. (2022). Internal reference price response across store formats. Journal of Retailing, 98(3), 496–509. https://doi.org/10.1016/j.jretai.2021.11.001

Foster, D. P., Stine, R. A., & Waterman, R. P. (1998). Business Analysis using Regression. Springer. https://link.springer.com/chapter/10.1007/978-1-4612-0683-5_2

Fox, J., & Monette, G. (1992). Generalized Collinearity Diagnostics. Journal of the American Statistical Association, 87(417), 178–183. https://doi.org/10.1080/01621459.1992.10475190

Friedrich, R. J. (1982). In Defense of Multiplicative Terms in Multiple Regression Equations. American Journal of Political Science, 26(4), 797. https://doi.org/10.2307/2110973

Fu, H., Manogaran, G., Wu, K., Cao, M., Jiang, S., & Yang, A. (2020). Intelligent decision-making of online shopping behavior based on internet of things. International Journal of Information Management, 50(February), 515–525. https://doi.org/10.1016/j.ijinfomgt.2019.03.010

Gatti, J. R. J., & Kattuman, P. (2003). Online Price Dispersion Within and Between Seven European Countries. Advances in Applied Microeconomics, 12, 107–141. https://doi.org/10.1016/S0278-0984(03)12005-6

Grewal, D., Janakiraman, R., Kalyanam, K., Kannan, P. K., Ratchford, B., Song, R., & Tolerico, S. (2010). Strategic online and offline retail pricing: A review and research agenda. Journal of Interactive Marketing, 24(2), 138–154. https://doi.org/10.1016/j.intmar.2010.02.007

Gujarati, D. N., & Porter, D. C. (2011). Econometria Básica. Bookman.

Hagberg, J., & Kjellberg, H. (2015). How much is it? Price representation practices in retail markets. Marketing Theory, 15(2), 179–199. https://doi.org/10.1177/1470593114545005

Hamilton, R., & Chernev, A. (2013). Low prices are just the beginning: Price image in retail management. Journal of Marketing, 77(6), 1–20. https://doi.org/10.1509/jm.08.0204

Ho, Y. C., Ho, Y. J., & Tan, Y. (2017). Online Cash-back Shopping: Implications for Consumers and e-Businesses. Information Systems Research, 28(2), 250–264. https://doi.org/10.1287/isre.2017.0693

Jaccard, J., & Turrisi, R. (2003). Interaction effects in multiple regression. SAGE Publications. https://us.sagepub.com/en-us/nam/book/interaction-effects-multiple-regression-0

Jindal, P., & Aribarg, A. (2021). The Importance of Price Beliefs in Consumer Search. Journal of Marketing Research, 58(2), 321–342. https://doi.org/10.1177/0022243720982979

Jung, K., Cho, Y. C., & Lee, S. (2014). Online shoppers’ response to price comparison sites. Journal of Business Research, 67(10), 2079–2087. https://doi.org/10.1016/j.jbusres.2014.04.016

Karavdic, M., & Gregory, G. (2005). Integrating e-commerce into existing export marketing theories: A contingency model. Marketing Theory, 5(1), 75–104. https://doi.org/10.1177/1470593105049602

Kim, J., Franklin, D., Phillips, M., & Hwang, E. (2020). Online Travel Agency Price Presentation: Examining the Influence of Price Dispersion on Travelers’ Hotel Preference. Journal of Travel Research, 59(4), 704–721. https://doi.org/10.1177/0047287519857159

Knight, B., & McGee, J. (2015). Market Structure: The Analysis of Markets and Competition. Em Wiley Encyclopedia of Management (p. 1–2). John Wiley & Sons, Ltd. https://doi.org/10.1002/9781118785317.weom120079

Kocas, C. (2002). Evolution of prices in electronic markets under diffusion of price-comparison shopping. Journal of Management Information Systems, 19(3), 99–119. https://doi.org/10.1080/07421222.2002.11045740

Kyung, E. J., & Thomas, M. (2016). When remembering disrupts knowing: Blocking implicit price memory. Journal of Marketing Research, 53(6), 937–953. https://doi.org/10.1509/jmr.14.0335

Lillis, C. M. (1975). Book Review: Market Structure and Seller Profitability. Journal of Marketing, 39(2), 115–116. https://doi.org/10.1177/002224297503900222

Lindgren, C., Daunfeldt, S. O., Rudholm, N., & Yella, S. (2020). Is intertemporal price discrimination the cause of price dispersion in markets with low search costs? Applied Economics Letters, 28(11), 1–4. https://doi.org/10.1080/13504851.2020.1789055

Lindsey-Mullikin, J., & Grewal, D. (2006). Imperfect information: The persistence of price dispersion on the web. Journal of the Academy of Marketing Science, 34(2), 236–243. https://doi.org/10.1177/0092070305283366

Ma, Y., Ailawadi, K. L., Martos-Partal, M., & González-Benito, Ó. (2023). EXPRESS: Dual Branding by National Brand Manufacturers: Drivers and Outcomes. Journal of Marketing, 00222429231196575. https://doi.org/10.1177/00222429231196575

Machado, M. D. D. S., & Crispim, S. F. (2017). Diferenças no Composto Varejista de Lojas Físicas e Virtual da Mesma Rede. Revista de Administração Contemporânea, 21(2), 203–226. https://doi.org/10.1590/1982-7849rac2017150295

Mason, C. H., & Perreault, W. D. (1991). Collinearity, Power, and Interpretation of Multiple Regression Analysis. Journal of Marketing Research, 28(3), 268–280. https://doi.org/10.1177/002224379102800302

Miniard, P. W., Mohammed, S. M., Barone, M. J., & Alvarez, C. M. O. (2013). Retailers’ use of partially comparative pricing: From across-category to within-category effects. Journal of Marketing, 77(4), 33–48. https://doi.org/10.1509/jm.10.0534

Moe, W. W., & Yang, S. (2009). Inertial disruption: The impact of a new competitive entrant on online consumer search. Journal of Marketing, 73(1), 109–121. https://doi.org/10.1509/jmkg.73.1.109

Moon, S., Russell, G., & Duvvuri, S. (2006). Profiling the reference price consumer. Journal of Retailing, 82(1), 1–11. https://doi.org/10.1016/j.jretai.2005.11.006

Morgan, J., Orzen, H., & Sefton, M. (2006). An experimental study of price dispersion. Games and Economic Behavior, 54(1), 134–158. https://doi.org/10.1016/j.geb.2004.07.005

Nishida, M., & Remer, M. (2018). The Determinants and consequences of search cost heterogeneity: Evidence from local gasoline markets. Journal of Marketing Research, 55(3), 305–320. https://doi.org/10.1509/jmr.15.0146

Pan, X., Ratchford, B. T., & Shankar, V. (2004). Price dispersion on the-internet: A review and directions for future research. Journal of Interactive Marketing, 18(4), 116–135. https://doi.org/10.1002/dir.20019

Passyn, K. A., Diriker, M., & Settle, R. B. (2013). Price Comparison, Price Competition, And The Effects Of ShopBots. Journal of Business & Economics Research (JBER), 11(9), 401. https://doi.org/10.19030/jber.v11i9.8068

Pathak, B. K. (2012). Comparison shopping agents and online price dispersion: A search cost based explanation. Journal of Theoretical and Applied Electronic Commerce Research, 7(1), 64–76. https://doi.org/10.4067/S0718-18762012000100006

Qiu, Y., & Rao, R. C. (2020). Increasing retailer loyalty through the use of cash back rebate sites. Marketing Science, 39(4), 743–762. https://doi.org/10.1287/mksc.2019.1202

Rajendran, K. N., & Tellis, G. J. (1994). Contextual and Temporal Components of Reference Price. Journal of Marketing, 58(1), 22. https://doi.org/10.2307/1252248

Reswanto, F., & Ishak, A. (2022). Impact of brand equity and mobile web quality on intentions to use m-commerce amongst Traveloka customers. International Journal of Research in Business and Social Science (2147- 4478), 11(1), 305–315. https://doi.org/10.20525/ijrbs.v11i1.1586

Ronayne, D., & Taylor, G. (2022). Competing Sales Channels with Captive Consumers. The Economic Journal, 132(642), 741–766. https://doi.org/10.1093/ej/ueab075

Rossi, F., & Chintagunta, P. K. (2016). Price transparency and retail prices: Evidence from fuel price signs in the Italian highway system. Journal of Marketing Research, 53(3), 407–423. https://doi.org/10.1509/jmr.14.0411

Russell, G. J., & Bolton, R. N. (1988). Implications of Market Structure for Elasticity Structure. Journal of Marketing Research, 25(3), 229. https://doi.org/10.2307/3172526

Semrush. (2024). Traffic Analytics. https://pt.semrush.com/analytics/traffic/overview?compareWith=zoom.com.br:domain|bondfaro.com.br:domain|jacotei.com.br:domain&searchType=domain&q=buscape.com.br

Senarathna, I., Warren, M., Yeoh, W., & Salzman, S. (2014). The influence of organisation culture on E-commerce adoption. Industrial Management and Data Systems, 114(7), 1007–1021. https://doi.org/10.1108/IMDS-03-2014-0076

Sorensen, A. T. (2000). Equilibrium Price Dispersion in Retail Markets for Prescription Drugs. Journal of Political Economy, 108(4), 833–850. https://doi.org/10.1086/316103

Sutton, J. (2003). Market structure: The bounds approach. forthcoming in the Handbook of Industrial Organization, 3, 1–114. http://qed.econ.queensu.ca/pub/students/houdejf/Sutton_HIO3.pdf

Tellis, G. J. (1986). Beyond the Many Faces of Price: An Integration of Pricing Strategies. Journal of Marketing, 50(4), 146. https://doi.org/10.2307/1251292

Van Heerde, H. J., Mela, C. F., & Manchanda, P. (2004). The dynamic effect of innovation on market structure. Journal of Marketing Research, 41(2), 166–183. https://doi.org/10.1509/jmkr.41.2.166.28669

Vana, P., Lambrecht, A., & Bertini, M. (2018). Cashback Is Cash Forward: Delaying a Discount to Entice Future Spending. Journal of Marketing Research, 55(6), 852–868. https://doi.org/10.1177/0022243718811853

Vieira, V. A., Agnihotri, R., Almeida, M. I. S., & Lopes, E. L. (2022). How cashback strategies yield financial benefits for retailers: The mediating role of consumers’ program loyalty. Journal of Business Research, 141(June 2021), 200–212. https://doi.org/10.1016/j.jbusres.2021.11.072

Wang, C. X., Beck, J. T., & Yuan, H. (2021). EXPRESS: The Control–Effort Trade-Off in Participative Pricing: How Easing Pricing Decisions Enhances Purchase Outcomes. Journal of Marketing, 002224292199035. https://doi.org/10.1177/0022242921990351

Wang, W., & Li, F. (2020). What determines online transaction price dispersion? Evidence from the largest online platform in China. Electronic Commerce Research and Applications, 42(August 2018), 100968. https://doi.org/10.1016/j.elerap.2020.100968

Wang, W., Li, F., & Zhang, Y. (2020). Price discount and price dispersion in online market: Do more firms still lead to more competition? Journal of Theoretical and Applied Electronic Commerce Research, 16(2), 140–154. https://doi.org/10.4067/S0718-18762021000200110

Xu, L., & Roy, A. (2022). Cashback as cash forward: The serial mediating effect of time/effort and money savings. Journal of Business Research, 149(May), 30–37. https://doi.org/10.1016/j.jbusres.2022.05.019

Zhao, K., Zhao, X., & Deng, J. (2015). Online price dispersion revisited: How do transaction prices differ from listing prices? Journal of Management Information Systems, 32(1), 261–290. https://doi.org/10.1080/07421222.2015.1029397

Zhou, Y. W., Cao, B., Tang, Q., & Zhou, W. (2017). Pricing and rebate strategies for an e-shop with a cashback website. European Journal of Operational Research, 262(1), 108–122. https://doi.org/10.1016/j.ejor.2017.03.037

Zhuang, H., Popkowski Leszczyc, P. T. L., & Lin, Y. (2018). Why is Price Dispersion Higher Online than Offline? The Impact of Retailer Type and Shopping Risk on Price Dispersion. Journal of Retailing, 94(2), 136–153. https://doi.org/10.1016/j.jretai.2018.01.003

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2024-05-20

Cómo citar

Costa Oliveira , A., Almeida , M. I. S. de, & Isabella, G. (2024). De que forma os preços variam em sites de comparação? influência do cashback e da estrutura de mercado na dinâmica de preços. ReMark - Revista Brasileira De Marketing, 23(2), 516–579. https://doi.org/10.5585/remark.v23i2.25391

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