Evaluación de juego en la intención de utilizar moda M-Commerce
DOI:
https://doi.org/10.5007/2175-8077.2023.e79359Palabras clave:
comercio móvil, uso previsto, moda, alegría, UTAUTResumen
Nuestro objetivo es estudiar los factores que inciden en la intención de uso del m-commerce de moda. Desarrollamos un modelo estructural basado en la Teoría Unificada de Aceptación y Uso de la Tecnología (UTAUT), con la adición de la variable exógena Ludicidad. Se aplicó una Encuesta con 21 ítems en escala Likert a una muestra de 300 personas para medir la influencia de la Ludicidad en la intención de uso del m-commerce de moda; además de constatar la relevancia de las dimensiones de Expectativa de Desempeño, Expectativa de Esfuerzo e Influencia Social en este sector. Los resultados mostraron que el impacto de la ludicidad en la intención de usar el m-commerce de moda es un 10% mayor que la Influencia Social y un 14% mayor que la Expectativa de Esfuerzo. Presentamos n tema poco explorado, pero con gran potencial comercial, ya que el comercio minorista de moda en línea es uno de los sectores más rentables de Brasil.
Citas
ASASTANI, H. L.; HARISINO; KUSIMAWARDHANA, V. H.; WARNARS, H. L. S. Factors Affecting the Usage of Mobile Commerce using Technology Acceptance Model (TAM) and Unified Theory of Acceptance and Use of Technology (UTAUT). Proceedings of INAPR International Conference, Jakarta, Indonesia, 2018. https://doi.org/10.1109/INAPR.2018.8627003
AL-SAEDI, K.; AL-EMRAN, M.; RAMAYAH, T.; ABUSHAM, E. Developing a general extended UTAUT model for M-payment adoption. Tecnology in Society, 62, 2020. https://doi.org/10.1016/j.techsoc.2020.101293
ATLAS. E-commerce Radar: 1º semestre 2017. 2017. São Paulo. Disponível em: http://www.mauromarcondes.com.br/wp-content/uploads/2017/07/E-book-Atlas-E-commerce-Radar-2017.pdf. Acesso em: 20 jan. 2019.
BALDIN, N.; MUNHOZ, E. Educação ambiental comunitária: Uma experiência com a técnica Snowball (Bola de Neve). Rev. eletrônica Mestr. Educ. Ambient, v. 27, p. 46–60, 2011.
BARNETT, L. A. Playfulness: definition, design, and measurement. Play and Culture, v. 3, n. 4, p. 319-336, 1990.
BARNETT, L. A. The playful child: measurement of a disposition to play. Play and Culture, v. 4, n. 1, p. 51-74, 1991.
BASTOS, J. P.; VILANOVA, M. E. M. Comércio Eletrônico: Um estudo sobre o comportamento do consumidor brasileiro através dos sites de sistemas de reputação e confiança. Revista Interdisciplinar Animus, v. 1, n. 8, p. 39-58, 2019.
BERTOLINI, M.; BOTTANI, E.; ESPOSITO, G.; RIZZI, A.; ROMAGNOLI, G. Company staff intention to use RFID technology in fashion and apparel retail sector: a UTAUT based-model. Proceedings of Summer School Francesco Turco: Industrial Systems Engineering, Brescia, Italy, 23, 2018.
BLAISE, R.; HALLORAN Halloran, M., & Muchkick, M. Mobile Commerce Competitive Advantage: A Quantitative Study of Variables that Predict MCommerce Purchase Intentions. Journal of Internet Commerce, v. 17, n. 2, p. 96–114, 2018. https://doi.org/10.1080/15332861.2018.1433911
CHIASSON, M. W.; LOVATO, C. Y. Factors influencing the formation of a user's perceptions and use of a DSS software innovation. ACM SIGMIS Database: the DATABASE for Advances in Information Systems, v. 32, n. 3, p. 16–35, 2001. https://doi.org/10.1145/506724.506727
CHOU, Y. D.; LI, T. D.; HO, C. B. Factors influencing the adoption of mobile commerce in Taiwan. Int. J. Mobile Communications, v. 16, n. 2, 2018. https://doi.org/10.1504/IJMC.2018.089754
DAVS, F. D. Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, v. 13, p. 319–341, 1989. https://doi.org/10.2307/249008
E-BIT. (2020). Relatório Webshoppers. 41 ed. Disponível em: https://company.ebit.com.br/webshoppers/webshoppersfree. Acesso em: 10 ago. 2020.
E-BIT. (2023). Relatório Webshoppers. 47 ed. Disponível em: https://company.ebit.com.br/webshoppers/webshoppersfree. Acesso em: 5 maio 2023.
FAN, Y.; SALIBA, A.; KENDALL, E. A.; NEWMARCH, J. Speech interface: an enhancer to the acceptance of m-commerce applications. Proceedings of International Conference on Mobile Business (ICMB), Sydney, NSW, 5, 2005.
GROß, M. Mobile shopping: A classification framework and literature review. International Journal of Retail & Distribution Management, v. 43, p. 221–241, 2015. https://doi.org/10.1108/IJRDM-06-2013-0119
GU, S.; KIM, H. What drives customers to use retailers' Facebook pages? Predicting consumers' motivations and continuance usage intention. Journal of Global Fashion Marketing, v. 7, n. 1, p. 1-14, 2016. https://doi.org/10.1080/20932685.2015.1105111
GOODMAN, L. A. Snowball sampling. The annals of mathematical statistics, p. 148-170, 1961. https://doi.org/10.1214/aoms/1177705148
HAIR, J. F.; BLACK, W. C.; BABIN, B. J.; TATHAM, R. L. Análise multivariada de dados. 6. ed. Porto Alegre: Bookman, 2009.
HESS, T.J.; FULLER, M. A.; MATHEW, J. Involvement and decision-making performance with a decision aid: The influence of social multimedia, gender, and playfulness. Journal of Management Information Systems, v. 22, n. 3, p. 15–54, 2006. https://doi.org/10.2753/MIS0742-1222220302
HUR, H. J.; LEE, H. K.; CHOO, H. J. Understanding usage intention in innovative mobile app service: Comparison between millennial and mature consumers. Computers in Human Behavior, v. 73, p. 353-361, 2017. https://doi.org/10.1016/j.chb.2017.03.051
KALINIC, Z.; MARINKOVIC, V. Determinants of users’ intention to adopt m-commerce: an empirical analysis. Inf Syst E-Bus Manage., v. 14, p. 367–387, 2016. https://doi.org/10.1007/s10257-015-0287-2
KAZANCOGLU, I.; AYDIN, H. An investigation of consumers’ purchase intentions towards omnichannel shopping: A qualitative exploratory study. International Journal of Retail & Distribution Management, v. 46, n. 10, p. 959-976, 2018. https://doi.org/10.1108/IJRDM-04-2018-0074
KIM, J.; FORSYTHE, S. Sensory-enabling technology acceptance model (SE-TAM): a multiple-group structural model comparison. Psychology & Marketing, v. 25, n. 9, p. 901-922, 2008. https://doi.org/10.1002/mar.20245
KO, E.; KIM, E. Y.; LEE, E. K. Modeling Consumer Adoption of Mobile Shopping for Fashion Products in Korea. Psychology & Marketing, v. 26, n. 7, p. 669–687, 2009. https://doi.org/10.1002/mar.20294
KULVIWAT, S.; BRUNER, G. C.; KUMAR, A.; NACO, S. A.; CLARK, T. Toward a unified theory of consumer acceptance technology. Psychology & Marketing, v. 24, p. 1059-1084, 2007. https://doi.org/10.1002/mar.20196
LIU, C.; ARNETT, K.P. Exploring the factors associated with Web site success in the context of electronic commerce. Information & Management, v. 38, n. 1, p. 23–34, 2000. https://doi.org/10.1016/S0378-7206(00)00049-5
LU, J. Are personal innovativeness and social influence critical to continue with mobile commerce? Internet Research, v. 24, n. 2, p. 134-159, 2014. https://doi.org/10.1108/IntR-05-2012-0100
MAINARDES, E. W.; ALMEIDA, C. M.; OLIVEIRA, M. O. E-Commerce: an analysis of the factors that antecede purchase intentions in an emerging Market. Journal of International Consumer Marketing, v. 31, n. 5, p. 447-468, 2019. https://doi.org/10.1080/08961530.2019.1605643
MAITY, M. Critical factors of consumer decisin-making on m-commerce: a quantitative study in the United States. International Journal of Mobile Marketing, v. 5, n. 2, p. 87-101, 2010.
MOON, J. W.; KIM, Y. G. Extending the TAM for a World-Wide-Web context. Information & Management, v. 38, n. 4, p. 217–230, 2001. https://doi.org/10.1016/S0378-7206(00)00061-6
NOORDIN, S.; ASHAARI, N. S.; WOOK, T. S. M. T. A Proposed Model for Virtual Fitting Room Based on Usability and Profound Emotional Elements. International Journal on Advanced Science, Engineering and Information Technology, v. 8, n. 6, p. 2332-2340, 2018. https://doi.org/10.18517/ijaseit.8.6.6440
NYSYEEN, H.; PEDERSEN, P. E.; THORBJORNSEN, H. Intentions to use mobile services: Antecedents and cross-service comparisons. Journal of the Academy of Marketing Science, v. 33, n. 3, p. 330–346, 2005. https://doi.org/10.1177/0092070305276149
PAIVA, A. P.; COSTA, S. C.; PAIVA, E. J.; BALESTRASSI, P. P.; FERREIRA, J. R. Multi-objective Optimization of Pulsed Gas Metal Arc Welding Process Based on Weighted Principal Component Scores. International Journal of Advanced Manufacturing Technology, v. 50, p. 113–125, 2010. https://doi.org/10.1007/s00170-009-2504-y
PARKER, C. J.; WANG, H. Examining hedonic and utilitarian motivations for m-commerce fashion retail app engagement. Journal of Fashion Marketing and Management, v. 20, n. 4, p. 487-506, 2016. https://doi.org/10.1108/JFMM-02-2016-0015
PIEVE, S. M. N.; MIURA, A. K.; RAMBO, A. G. A pesca artesanal na Colônia de São Pedro (Z3), Pelotas, RS. XLV Congresso da Sociedade Brasileira de Economia, Administração e Sociedade Rural. Londrina, Paraná, Universidade Estadual de Londrina, 2007.
SIM, J. J.; CHIA, Z. Y.; CHIN, Y. L.; LEE, M. Q.; CHIAM, V. T. S.; WONG, K. L.; CHOONG, C. K.; LOH, S. H.; YEAP, K. H. Trust in vendor and perceived effectiveness of e-commerce institutional mechanisms in m-commerce adoption: A revised UTAUT model. Proceedings of IEEE Conference on Control System, Computing and Engineering, Penang, Malaysia, 8, 2018. https://doi.org/10.1109/ICCSCE.2018.8684964
SOCIEDADE BRASILEIRA DE VAREJO E CONSUMO (SBVC) e INSTITUTO QUALIBEST. Relatório Jornada de Compra do Consumidor Omnichannel: Varejo de moda. 2022. Disponível em: https://www.institutoqualibest.com/download/consumidor-omnichannel-em-moda/. Acesso em: 5 maio 2023.
SONI, M.; JAIN, K.; KUMAR, B. Factors affecting the adoption of fashion mobile shopping applications. Journal of Global Fashion Marketing, v. 10, n. 4, p. 358-376, 2019. https://doi.org/10.1080/20932685.2019.1649165
SOUZA, M. W. D. Mensuração do risco percebido no uso do m-banking, no mercado de jovens, utilizando a Teoria da Resposta ao Item. Master dissertation. Universidade do Estado de Santa Catarina, Florianópolis, SC, Brasil, 2016.
TARHIN, A.; ALALWAN, A. A.; SHAMMOUNT, A. B.; AL-BADI, A. An analysis of the factors affecting mobile commerce adoption in developing countries: Towards an integrated model. Review of International Business and Strategy, v. 29, n. 2, 2019. https://doi.org/10.1108/RIBS-10-2018-0092
TRIVEDI, J. P.; TRIVEDI, H. Investigating the Factors That Make a Fashion App Successful: The Moderating Role of Personalization, Journal of Internet Commerce. Journal of Internet Commerce, v. 17, n. 6, p. 1-18, 2018. https://doi.org/10.1080/15332861.2018.1433908
VENKATESH, V. Determinants of perceived ease of use: Integrating control, intrinsic motivation, and emotion into the technology acceptance model. Information Systems Research, v. 11, n. 4, p. 342-365, 2000. https://doi.org/10.1287/isre.11.4.342.11872
VENKATESH, V.; MORRIS, M. Why Don't Men Ever Stop to Ask For Directions? Gender, Social Influence, and Their Role in Technology Acceptance and Usage Behavior. MIS Quarterly, v. 24, n. 1, p. 115-139, 2000. https://doi.org/10.2307/3250981
VENKATESH, V.; MORRIS, M.; DAVIS, G.; DAVIS, F. User acceptance of information technology: toward a unified view. MIS Quartely, v. 27, n. 3, p. 425–478, 2003. https://doi.org/10.2307/30036540
WEI, T. T.; MARTHANDAN, G.; CHONG, A. Y. L.; OOI, K. B.; ARUMUGAM, S. What drives malaysian m-commerce adoption? an empirical analysis. Industrial Management & Data Systems, v. 109, n. 3, p. 370-388, 2009. https://doi.org/10.1108/02635570910939399
WILLIANS, M. D.; RANA, N. P.; DWIVEDI, Y. K. The unified theory of acceptance and use of technology (UTAUT): a literature review. Journal of Enterprise Information Management, v. 28, n. 3, p. 443-488, 2015. https://doi.org/10.1108/JEIM-09-2014-0088
Descargas
Publicado
Cómo citar
Número
Sección
Licencia
Derechos de autor 2023 Revista de Ciências da Administração

Esta obra está bajo una licencia internacional Creative Commons Atribución-NoComercial-SinDerivadas 4.0.
El autor deberá garantizar:
- que exista pleno consenso entre todos los coautores para aprobar la versión final del documento y su envío para publicación.
que su trabajo es original, y si se utilizó trabajo y/o palabras de otras personas, estos fueron debidamente reconocidos.
El plagio en todas sus formas constituye un comportamiento editorial poco ético y es inaceptable. RCA se reserva el derecho de utilizar software o cualquier otro método de detección de plagio.
Todos los envíos recibidos para evaluación en la revista RCA pasan por la identificación de plagio y autoplagio. El plagio identificado en los manuscritos durante el proceso de evaluación dará lugar al archivo del envío. Si se identifica plagio en un manuscrito publicado en la revista, el Editor Jefe realizará una investigación preliminar y, de ser necesario, se retractará.
Los autores otorgan a RCA los derechos exclusivos de primera publicación, estando la obra licenciada simultáneamente bajo la Licencia Creative Commons (CC BY) 4.0 Internacional.
Los autores están autorizados a celebrar contratos adicionales por separado, para la distribución no exclusiva de la versión del trabajo publicado en esta revista (por ejemplo, publicación en un repositorio institucional, en un sitio web personal, publicación de una traducción o como capítulo de un libro), con reconocimiento de autoría y publicación inicial en esta revista.
Esta licencia permite a cualquier usuario tener derecho a:
Compartir: copiar, descargar, imprimir o redistribuir el material en cualquier medio o formato.
Adapte: remezcle, transforme y cree a partir del material para cualquier propósito, incluso comercial.
Bajo los siguientes términos:
Atribución: debe dar el crédito apropiado (citar y hacer referencia), proporcionar un enlace a la licencia e indicar si se realizaron cambios. Debe hacerlo bajo cualquier circunstancia razonable, pero de ninguna manera que sugiera que el licenciante lo respalda a usted o su uso.
Sin restricciones adicionales: no puede aplicar términos legales ni medidas tecnológicas que restrinjan legalmente a otros hacer algo que la licencia permite.