Factores que influyen en la intención de compra física y en línea de adultos mayores en supermercados

Autores/as

  • Sadoth Giraldo Acosta Docente, Facultad de Administración, Finanzas y Ciencias Económicas, Universidad Ean, Colombia, Bogotá. https://orcid.org/0000-0001-8027-2089
  • Judith Cavazos Arroyo Profesora e investigadora, Facultad de Mercadotecnia, Universidad Popular Autónoma del Estado de Puebla, Puebla, México.
  • Yésica Mayett Moreno Profesora e investigadora, Facultad de Administración de Empresas, Universidad Popular Autónoma del Estado de Puebla, Puebla, México.
  • Cecilia Isabel Calderón Valencia Profesora e investigadora, Facultad de Mercadotecnia, Universidad Popular Autónoma del Estado de Puebla, Puebla, México.

DOI:

https://doi.org/10.18046/j.estger.2022.165.5261

Palabras clave:

intención de compra, recomendación voz a voz, credibilidad de marca, riesgos percibidos, adultos mayores

Resumen

Esta investigación buscó establecer las relaciones estructurales entre los riesgos percibidos con la recomendación personal y electrónica del voz a voz, su impacto en la credibilidad de la marca y la intención de compra física y en línea de los adultos mayores en los supermercados de Bogotá, Colombia. Participaron 501 adultos mayores y los datos se analizaron mediante un modelo de ecuaciones estructurales de mínimos cuadrados parciales. Se demostró la existencia de altos riesgos percibidos tanto en las compras físicas como en las compras en línea. Estos riesgos influyen en el voz a voz personal y electrónico; además, impactan en la credibilidad de la marca, lo que repercute en la intención de compra física y en línea. Se sugieren acciones estratégicas para atender a esta población.

Descargas

Los datos de descarga aún no están disponibles.

Referencias

Abu-Zayyad, H. M., Obeidat, Z. M., Alshurideh, M. T., Abuhashesh, M., Maqableh, M. y Masa’deh, R. E. (2021). Corporate social responsibility and patronage intentions: The mediating effect of brand credibility. Journal of Marketing Communications, 27(5), 510-533. https://doi.org/10.1080/13527266.2020.1728565

Al-Debei, M. M., Akroush, M. N. y Ashouri, M. I. (2015). Consumer attitudes towards online shopping: The effects of trust, perceived benefits, and perceived web quality. Internet Research, 25(5), 707-733.

Allsop, D. T., Bassett, B. R. y Hoskins, J. A. (2007). Word-of-mouth research: Principles and applications. Journal of Advertising Research, 47(4), 398-411. https://doi.org/10.2501/S0021849907070419

Ball, C., Francis, J., Huang, K. T., Kadylak, T., Cotten, S. R. y Rikard, R. V. (2019). The physical-digital divide: Exploring the social gap between digital natives and physical natives. Journal of Applied Gerontology, 38, 1167-1184. https://doi.org/10.1177/0733464817732518

Bianchi, C. (2021). Exploring how internet services can enhance elderly well-being. Journal of Services Marketing, 35(5), 585-603. https://doi.org/10.1108/JSM-05-2020-0177

Biswas, D., Biswas, A. y Das, N. (2006). The differential effects of celebrity and expert endorsements on consumer risk perceptions: The role of consumer knowledge, perceived congruency, and product technology orientation. Journal of Advertising Research, 35(2), 17-31. https://doi.org/10.1080/00913367.2006.10639231

Bleize, D. N. y Antheunis, M. L. (2019). Factors influencing purchase intent in virtual worlds: A review of the literature. Journal of Marketing Communications, 25(4), 403-420. https://doi.org/10.1080/13527266.2016.1278028

Bougoure, U. S., Russell-Bennett, R., Fazal-E-Hasan, S. y Mortimer, G. (2016). The impact of service failure on brand credibility. Journal of Retailing and Consumer Services, 31, 62-71. https://doi.org/10.1016/j.jretconser.2016.03.006

Cheung, C. M. y Lee, M. K. (2012). What drives consumers to spread electronic word of mouth in online consumer-opinion platforms. Decision Support Systems, 53(1), 218-225. https://doi.org/10.1016/j.dss.2012.01.015

Chin, P. N., Isa, S. M. y Alodin, Y. (2020). The impact of endorser and brand credibility on consumers’ purchase intention: The mediating effect of attitude towards brand and brand credibility. Journal of Marketing Communications, 26(8), 896-912. https://doi.org/10.1080/13527266.2019.1604561

Chiou, J., Chi-Fen Hsu, A. y Hsieh, C. (2013). How negative online information affects consumers' brand evaluation. Online Information Review, 37(6), 910. https://bdbiblioteca.universidadean.edu.co:2083/docview/1652802942?accountid=34925

Dowling, G. R. y Staelin, R. (1994). A model of perceived risk and intended risk-handling activity. Journal of Consumer Research, 21(1), 119-134. https://doi.org/10.1086/209386

Erdem, T. y Swait, J. (1998). Brand equity as a signaling phenomenon. Journal of Consumer Psychology, 7(2), 131-157. https://doi.org/10.1207/s15327663jcp0702_02

Erdem, T. y Swait, J. (2004). Brand credibility, brand consideration, and choice. Journal of Consumer Research, 31(1), 191-198. https://doi.org/10.1086/383434

Erdem, T., Swait, J. y Valenzuela, A. (2006). Brands as signals: A cross-country validation study. Journal of Marketing, 70(1), 34-49. https://doi.org/10.1509/jmkg.70.1.034.qxd

Fang, C. H., Lin, T. M., Liu, F. y Lin, Y. H. (2011). Product type and word of mouth: A dyadic perspective. Journal of Research in Interactive Marketing, 5(2/3), 189-202. https://doi.org/10.1108/17505931111187802

Fedesarrollo y Fundación Saldarriaga Concha (2015). Misión Colombia Envejece: cifras, retos y recomendaciones. Editorial Fundación Saldarriaga Concha.

Filieri, R. (2015). What makes online reviews helpful? A diagnosticity-adoption framework to explain informational and normative influences in e-WOM. Journal of Business Research, 68(6), 1261-1270. https://doi.org/10.1016/j.jbusres.2014.11.006

Fornell, C. y Larcker, D. F. (1981). Evaluation structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39-50. https://doi.org/10.1177/002224378101800104

Forsythe, S., Liu, C., Shannon, D. y Gardner, L. C. (2006). Development of a scale to measure the perceived benefits and risks of online shopping. Journal of Interactive Marketing, 20(2), 55-75. https://doi.org/10.1002/dir.20061

Gefen, D. y Straub, D. W. (2004). Consumer trust in B2C e-Commerce and the importance of social presence: Experiments in e-Products and e-Services. Omega, 32(6), 407-424. https://doi.org/10.1016/j.omega.2004.01.006

Goldsmith, R. E. y Horowitz, D. (2006). Measuring motivations for online opinion seeking. Journal of Interactive Advertising, 6(2), 2-14. https://doi.org/10.1080/15252019.2006.10722114

Goyette, I., Ricard, L., Bergeron, J. y Marticotte, F. (2010). e-WOM Scale: Word-of-mouth measurement scale for e-services context. Canadian Journal of Administrative Sciences/Revue Canadienne des Sciences de l'Administration, 27(1), 5-23. https://doi.org/10.1002/cjas.129

Ha, H. Y. (2004). Factors influencing consumer perceptions of brand trust online. Journal of Product & Brand Management, 13(5), 329-342. https://doi.org/10.1108/10610420410554412

Hair, J. F., Black, W. C., Babin, B. J. y Anderson, R. E. (2010). Multivariate data analysis (7.a ed.). Prentice Hall.

Hair, J. F., Hult, G. T. M., Ringle, C. M. y Sarstedt, M. (2017). A primer on partial least squares. Structural equation modeling (PLS-SEM) (2.ª ed.). Sage.

Hair, J. F., Hult, G. T. M., Ringle, C. M., Sarstedt, M., Castillo Apraiz, J., Cepeda Carrión, G. y Roldán, J. L. (2019). Manual de partial least squares structural equation modeling (pls-sem). OmniaScience Scholar.

Hennig-Thurau, T., Gwinner, K. P., Walsh, G. y Gremler, D. D. (2004). Electronic word-of-mouth via consumer-opinion platforms: What motivates consumers to articulate themselves on the Internet? Journal of Interactive Marketing, 18(1), 38-52. https://doi.org/10.1002/dir.10073

Henseler, J., Ringle, C.M., & Sinkovics, R.R. (2009). The use of partial least squares path modeling in international marketing. En Sinkovics, R.R., & Ghauri, P.N. (Ed.) New Challenges to International Marketing, Vol. 20, pp. 277-319. Emerald Group Publishing Limited, Bingley, https://doi.org/10.1108/S1474-7979(2009)0000020014

Hernández, S. R. y Mendoza, T. C. P. (2018). Metodología de la Investigación. Las rutas cuantitativa, cualitativa y mixta. Editorial McGraw-Hill.

Hussain, D., Ross, P. y Bednar, P. (2018). The perception of the benefits and drawbacks of internet usage by the elderly people. En C. Rossignoli, F. Virili y S. Za (Eds.), Digital technology and organizational change (pp. 199-212). Springer, Cham.

Hyun, T. y Whitehill, K. (2011). Exploring the consequences of brand credibility in services. Journal of Services Marketing, 25(4), 260-272. https://doi.org/10.1108/08876041111143096

Jiang, Z. y Benbasat, I. (2004). Virtual product experience: Effects of visual and functional control of products on perceived diagnosticity and flow in electronic shopping. Journal of Management Information Systems, 21(3), 111-147. https://doi.org/10.1080/07421222.2004.11045817

Kantar Ibope Media (2018). Target Group Index - TGI - Primera ola 2018. www.kantaribopemedia.com

Kim, K., Yoon, S. y Choi, Y. K. (2019). The effects of eWOM volume and valence on product sales-an empirical examination of the movie industry. International Journal of Advertising, 38(3), 471-488. https://doi.org/10.1080/02650487.2018.1535225

Lee, S. B. y Suh, T. (2020). Internal audience strikes back from the outside: Emotionally exhausted employees’ negative word-of-mouth as the active brand-oriented deviance. Journal of Product & Brand Management, 29(7), 863-876. https://doi.org/10.1108/JPBM-02-2019-2239

Liao, S. H., Hu, D. C., Chung, Y. C. y Huang, A. P. (2021). Risk and opportunity for online purchase intention-A moderated mediation model investigation. Telematics and Informatics, 62, 101621. https://doi.org/10.1016/j.tele.2021.101621

Maathuis, O. (1999). Corporate branding: The value of the corporate brand to customers and managers (tesis de doctorado). Erasmus Universiteit, Rotterdam.

Maathuis, O., Rodenburg, J. y Sikkel, D. (2004). Credibility, emotion or reason? Corporate Reputation Review, 6(4), 333-345. https://doi.org/10.1057/palgrave.crr.1540003

Martín-Consuegra, D., Díaz, E., Gómez, M. y Molina, A. (2019). Examining consumer luxury brand-related behavior intentions in a social media context: The moderating role of hedonic and utilitarian motivations. Physiology & Behavior, 200, 104-110. https://doi.org/10.1016/j.physbeh.2018.03.028

Martin, J., Mortimer, G. y Andrews, L. (2015). Re-examining online customer experience to include purchase frequency and perceived risk. Journal of Retailing and Consumer Services, 25, 81-95. https://doi.org/10.1016/j.jretconser.2015.03.008

Mitchell, V. W. (1999). Consumer perceived risk: Conceptualisations and models. European Journal of Marketing, 33(1/2), 163-195. https://doi.org/10.1108/03090569910249229

Molinillo, S., Japutra, A. y Ekinci, Y. (2022). Building brand credibility: The role of involvement, identification, reputation and attachment. Journal of Retailing and Consumer Services, 64, 102819. https://doi.org/10.1016/j.jretconser.2021.102819

Nguyen, O. D. Y., Lee, J. J., Ngo, L. V. y Quan, T. H. M. (2021). Impacts of crisis emotions on negative word-of-mouth and behavioural intention: evidence from a milk crisis. Journal of Product & Brand Management [preprint]. https://doi.org/10.1108/JPBM-05-2020-2901

Nooteboom, B., Berger, H. y Noorderhaven, N. G. (1997). Effects of trust and governance on relational risk. Academy of Management Journal, 40(2), 308-338. https://doi.org/10.5465/256885

Nunnally, J. y Bernstein, I. (1994). Psychometric theory. McGraw Hill, New York.

Oliveira, T., Alhinho, M., Rita, P. y Dhillon, G. (2017). Modelling and testing consumer trust dimensions in e-commerce. Computers in Human Behavior, 71, 153-164. https://doi.org/10.1016/j.chb.2017.01.050

Organización Panamericana de la Salud (s. f.). Género y el envejecimiento. Hoja Informativa del Programa Mujer, Salud y Desarrollo. Washington, DC. https://www1.paho.org/spanish/hdp/hdw/genderageingsp.PDF?ua=1

Pan, V. Q., Chew, P. Q., Cheah, A. S. G., Wong, C. H. y Tan, G. W. H. (2015). Mobile marketing in the 21st century: a partial least squares structural equation modelling approach. International Journal of Modelling in Operations Management, 5(2), 83-99.

Park, J. M. y Hwang, S. J. (2012). A study on the impact of cosmetics blog information characteristics on credibility in the process of word of mouth acceptance and word of mouth effect. Journal of the Korean Society of Costume, 62(2), 13-25.

Perera, C. H., Nayak, R. y Van Nguyen, L. T. (2020). The impact of subjective norms, eWOM and perceived brand credibility on brand equity: Application to the higher education sector. International Journal of Educational Management,35(1), 63-74. https://doi.org/10.1108/IJEM-05-2020-0264

Podsakoff, P. M., MacKenzie, S. B., Lee, J. Y. y Podsakoff, N. P. (2003). Common method biases in behavioral research: A critical review of the literature and recommended remedies. Journal of Applied Psychology, 88(5), 879-903.

Plummer, J. T. (2007). Editorial: Word of mouth - a new advertising discipline? Journal of Advertising Research, 47(4), 385-386.

Putra, B. A. P. W., Rochman, F. y Noermijati, N. (2017). The effect of trust, risk, and web design on consumer intention by means of consumer attitude to purchase online. Jurnal Aplikasi Manajemen, 15(3), 472-479. http://dx.doi.org/10.21776/ub.jam.2017.015.03.12

Ratriyana, I. N. (2021). The intertwining of traditional and electronic word-of-mouth in building the credibility of local fashion brands. Journal of Digital & Social Media Marketing, 8(4), 365-375.

Reza, J. y Samiei, N. (2012). The effect of electronic word of mouth on brand image and purchase intention: An empirical study in the automobile industry in Iran. Marketing Intelligence & Planning, 30(4), 460-476. https://doi.org/10.1108/02634501211231946

ShabbirHusain, R. V. y Varshney, S. (2022). Investigating combined effect of WOM and eWOM: role of message valence. Journal of Consumer Marketing, 39(2), 180-190. https://doi.org/10.1108/JCM-08-2020-4047

Shankar, A., Jebarajakirthy, C. y Ashaduzzaman, M. (2020). How do electronic word of mouth practices contribute to mobile banking adoption? Journal of Retailing and Consumer Services, 52, 101920. https://doi.org/10.1016/j.jretconser.2019.101920

Shugan, S. (1980). The cost of thinking. Journal of Consumer Research, 7, 99-111. https://doi.org/10.1086/208799

Simcock, P., Sudbury, L. y Wright, G. (2006). Age, perceived risk and satisfaction in consumer decision making: A review and extension. Journal of Marketing Management, 22(3-4), 355-377. https://doi.org/10.1362/026725706776861163

Soesilo, P. K., Gunadi, W. y Arimbi, I. R. (2020). The effect of endorser and corporate credibility on perceived risk and consumer confidence: The case of technologically complex products. Journal of Marketing Communications, 26(5), 528-548. https://doi.org/10.1080/13527266.2018.1545245

Spears, N. y Singh, S. N. (2004). Measuring attitude toward the brand and purchase intentions. Journal of Current Issues and Research Advertising, 26, 53-66. https://doi.org/10.1080/10641734.2004.10505164

Sreejesh, S., Anusree, M. R. y Mitra, A. (2016). Effect of information content and form on customers’ attitude and transaction intention in mobile banking: Moderating role of perceived privacy concern. International Journal of Bank Marketing, 34(7), 1092-1113. https://doi.org/10.1108/IJBM-07-2015-0107

Srivastava, A. y Dey, D. K. (2016). Brand analysis of global and local banks in India: A study of young consumers. Journal of Indian Business Research, 8(1), 4-18. https://doi.org/10.1108/JIBR-05-2015-0061

Swan, J. E. y Nolan, J. J. (1985). Gaining customer trust: A conceptual guide for the salesperson. Journal of Personal Selling & Sales Management, 5(2), 39-48.

Tanjung, C., Elfa, N. y Andreas, Y. (2018). Analysis of price perception, promotion, and trust toward decision purchase on online site. Tokopedia, 3(12), 386-389.

Tho, N. X., Lai, M. T. y Yan, H. (2017). The effect of perceived risk on repurchase intention and word-of-mouth in the mobile telecommunication market: A case study from Vietnam. International Business Research, 10(3), 8-19.

Wang, X. y Yang, Z. (2011). The impact of brand credibility and brand personality on purchase intention: An empirical study in China. En International Marketing. Emerald Group Publishing Limited.

Wu, L., Chiu, M. L. y Chen, K. W. (2020). Defining the determinants of online impulse buying through a shopping process of integrating perceived risk, expectation-confirmation model, and flow theory issues. International Journal of Information Management, 52, 102099. https://doi.org/10.1016/j.ijinfomgt.2020.102099

Yan, L. y Hua, C. (2021). Which reviewers are honest and caring? The effect of constructive and prosocial information on the perceived credibility of online reviews. International Journal of Hospitality Management, 99, 102990. https://doi.org/10.1016/j.ijhm.2021.102990

Zhou, M., Huang, J., Wu, K., Huang, X., Kong, N. y Campy, K. S. (2021). Characterizing Chinese consumers’ intention to use live e-commerce shopping. Technology in Society, 67, 101767. https://doi.org/10.1016/j.techsoc.2021.101767

Publicado

2022-11-03

Número

Sección

Artículo de investigación

Cómo citar

Factores que influyen en la intención de compra física y en línea de adultos mayores en supermercados. (2022). Estudios Gerenciales, 38(165), 479-492. https://doi.org/10.18046/j.estger.2022.165.5261