Innovation in the Spanish retail sector: Analyzing customers’ acceptance of a Scan&Go tool

• Antonio Lorenzo-Espejo ^[1] ; María-Luisa Muñoz-Díaz ^[1] ; José Guadix ^[1] ; Jesús Muñuzuri ^[1]
  1. [1] Universidad de Sevilla

     Universidad de Sevilla

     Sevilla, España

     
• Localización: Dirección y organización: Revista de dirección, organización y administración de empresas, ISSN 1132-175X, Nº 80, 2023, págs. 71-87
• Idioma: inglés
• Títulos paralelos:
  • La innovación en el sector retail en España: Análisis de la aceptación de los consumidores de una herramienta Scan&Go
• Enlaces
  • Texto completo
• Resumen
  • español

    Las tecnologías de venta inteligentes están cada vez más presentes en las tiendas físicas, pero los gerentes de muchos puntos de venta siguen teniendo dudas acerca de su aceptación por parte de los consumidores. En este artículo se presentan los resultados de una encuesta administrada a 2,010 clientes acerca de la introducción de un sistema de auto-pago denominado Scan&Go en tiendas españolas y se analiza el impacto de diversos factores y hábitos de consumo en la aceptación de la tecnología. Además, se identifica una respuesta positiva por parte de los usuarios españoles y se determina un perfil de cliente objetivo

  • English

    Smart retail technologies are making their way into stores at a fast pace, as managers identify them as a great opportunity to save costs and attract clients into their shopping establishments. However, customers’ acceptance of such innovations cannot be taken for granted. Precisely, managers’ concerns about their clients’ perception of in-store innovations are one of the main obstacles for the spread of smart retail technologies. In this article, the results of a survey completed by 2,010 customers concerning the introduction in the Spanish retail sector of a self-checkout system known as Scan&Go are analyzed. This tool allows customers to use their smartphones to scan the desired products, which are automatically added to their tab. In order to finish the purchase and leave the store, clients must simply show a code generated by the app to an employee. The paper analyzes and discusses the results of the survey, mainly the respondents’ usage intention of the tool, focusing on aspects such as determining factors discussed in the literature, consumption habits and socio-economic background, and studying their influence on customer acceptance. Evidence of a positive response from customers to the introduction of the Scan&Go tool in Spanish retail establishments is found, as well as a target customer profile which can serve as a starting market segment for the deployment of the system

• Referencias bibliográficas
  • Amazon. Amazon Dash Cart. (2020). https://www.amazon.com/b?ie=UTF8&node=21289116011 Accessed 22 September 2020.
  • Badgett, M., Boyce, M., & Kleinberger, H. (2007). Turning shoppers into advocates. IBM Global Business Services.
  • Claudy, M.C., Garcia, R., & O’Driscoll, A. (2015). Consumer resistance to innovation - a behavioral reasoning perspective. Journal of...
  • Collier, J.E., Moore, R.S., Horky, A., & Moore, M.L. (2015). Why the little things matter: Exploring situational influences on customers’...
  • Davis, F.D. (1989). Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology. MIS Quarterly, 13(3), 319-340. https://doi.org/10.2307/249008
  • Davis, F.D., Bagozzi, R.P., & Warshaw, P.R. (1989). User Acceptance of Computer Technology: A Comparison of Two Theoretical Models. Management...
  • Davis, R., Lang, B., & San Diego, J. (2014). How gender affects the relationship between hedonic shopping motivation and purchase intentions?....
  • Falk, T., Kunz, W.H., Schepers, J.J.L., & Mrozek, A.J. (2016). How mobile payment influences the overall store price image. Journal of...
  • Gao, L., & Bai, X. (2014). A unified perspective on the factors influencing consumer acceptance of internet of things technology. Asia...
  • Grewal, D., Levy, M., & Kumar, V. (2009). Customer Experience Management in Retailing: An Organizing Framework. Journal of Retailing,...
  • Guchait, P., & Namasivayam, K. (2012). Customer creation of service products: role of frustration in customer evaluations. Journal of...
  • Hoffman, D.L., & Novak, T. (2015). Emergent Experience and the Connected Consumer in the Smart Home Assemblage and the Internet of Things....
  • Inman, J.J., & Nikolova, H. (2017). Shopper-Facing Retail Technology: A Retailer Adoption Decision Framework Incorporating Shopper Attitudes...
  • Kim, H.Y., & Kim, Y.K. (2008). Shopping enjoyment and store shopping modes: The moderating influence of chronic time pressure. Journal...
  • Laukkanen, T. (2016). Consumer adoption versus rejection decisions in seemingly similar service innovations: The case of the Internet and...
  • Mady, T.T. (2011). Sentiment toward marketing: Should we care about consumer alienation and readiness to use technology?. Journal of Consumer...
  • Mani, Z., & Chouk, I. (2017). Drivers of consumers’ resistance to smart products. Journal of Marketing Management, 33(1-2), 76-97. https://doi.org/10.1080/0267257X.2016.1245212
  • McLean, G., Osei-Frimpong, K., Al-Nabhani, K., & Marriott, H. (2020). Examining consumer attitudes towards retailers’ m-commerce mobile...
  • Michelli, J.A. (2006). The Starbucks Experience: 5 Principles for Turning Ordinary into Extraordinary. New York: McGraw Hill. ISBN 0071709789
  • Mukherjee, A., Smith, R.J., & Turri, A.M. (2018). The smartness paradox: the moderating effect of brand quality reputation on consumers’...
  • Pantano, E., & Naccarato, G. (2010). Entertainment in retailing: The influences of advanced technologies. Journal of Retailing and Consumer...
  • Pantano, E., & Viassone, M. (2014). Demand pull and technology push perspective in technology-based innovations for the points of sale:...
  • Pascual Nebreda, L., Díez Martín, F., & Blanco González, A. (2020). Changes and evolution in the intellectual structure of consumer dissatisfaction....
  • Pfitzer, M., Bockstette, V., & Stamp, M. (2013). Innovating for shared value. Harvard Business Review, 91, 100- 107.
  • Renko, S., & Druzijanic, M. (2014). Perceived usefulness of innovative technology in retailing: Consumers׳ and retailers׳ point of view....
  • Reynolds, K.E., Ganesh, J., & Luckett, M. (2002). Traditional malls vs. factory outlets: Comparing shopper typologies and implications...
  • Roy, S.K., Balaji, M.S., Quazi, A., & Quaddus, M. (2018). Predictors of customer acceptance of and resistance to smart technologies in...
  • Roy, S.K., Balaji, M.S., Sadeque, S., Nguyen, B., & Melewar, T.C. (2017). Constituents and consequences of smart customer experience in...
  • Sajdakowska, M., Jankowski, P., Gutkowska, K., Guzek, D., Żakowska‐Biemans, S., & Ozimek, I. (2018). Consumer acceptance of innovations...
  • Szymkowiak, A., Gaczek, P., Jeganathan, K., & Kulawik, P. (2020). The impact of emotions on shopping behavior during epidemic. What a...
  • Urueña-López, A., Pascual-Miguel, F., & Iglesias-Pradas, S. (2012). Value, quality, purchasing habits and repurchase intention in B2C:...
  • Van Steenburg, E., Spears, N., & Fabrize, R.O. (2013). Point of purchase or point of frustration? Consumer frustration tendencies and...
  • Varadarajan, R., & Kaul, R. (2018). Doing well by doing good innovations: alleviation of social problems in emerging markets through corporate...
  • Venkatesh, V. (1999). Creation of Favorable User Perceptions: Exploring the Role of Intrinsic Motivation. MIS Quarterly, 23(2), 239-260. https://doi.org/10.2307/249753
  • Venkatesh, V., & Davis, F.D. (2000). A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies. Management...
  • Verhoef, P.C., Lemon, K.N., Parasuraman, A., Roggeveen, A., Tsiros, M., & Schlesinger, L.A. (2009). Customer Experience Creation: Determinants,...
  • Wilson, M. (2014). IHL Forecast: 2015 Retail IT Spend to Surpass $190 Billion. Chain Store Age. Available in: https://chainstoreage.com/news/ihlforecast-...