Functional, psychological and emotional barriers and the resistance to the use of digital banking services

Autores

  • Alexandre Alves dos Santos Escola Superior de Propaganda e Marketing – ESPM
  • Mateus Canniatti Ponchio Postgraduate Program in Business, Escola Superior de Propaganda e Marketing – ESPM

DOI:

https://doi.org/10.1108/INMR-07-2020-0093

Palavras-chave:

Resistance to innovation, Digital banking services, Functional barriers, Psychological barriers, Emotional barriers

Resumo

Purpose – The present paper aims to understand the influence of consumer’s functional, psychological and
emotional barriers to the use of digital banking services.
Design/methodology/approach – The authors carried out a quantitative study in which data were
collected through a self-administered online questionnaire. A final sample of 202 Brazilian adults, with and
without experience in using digital banking services, enabled the test of research hypotheses by means of a
structural equation modeling approach.
Findings – The authors found statistical evidence that supports the hypothesis that psychological barriers,
emotional barriers and user experience positively influence the resistance to the use of digital banking
services. However, there is no empirical evidence supporting that the influence of functional barriers affects
the resistance to the use of digital banking services.
Practical implications – Efforts to understand the mechanisms that lead consumers to adopt or reject
innovative products or services are important to prevent investments in these innovations, avoiding revenue
failures. The results provide managerial implications by favoring the creation of communication programs
capable of reducing the possibilities of innovation failure.
Originality/value – The main theoretical contribution of this work is the identification of the predominant
influence of emotional barriers, in comparison to functional barriers, on the resistance to innovation in digital
banking services. Currently, the models that illustrate resistance to innovation tend to focus solely on
functional aspects; however, these models can be improved by incorporating emotional aspects.

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Referências

Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision

Processes, 50(2), 179–211.

Bagozzi, R., & Lee, K. (1999). Consumer resistance to, and acceptance of, innovations. Advances in

Consumer Research, 26(1), 218–225.

Bandura, A. (1977). Self-efficacy: Toward a unifying theory of behavioral change. Psychological Review,

(2), 191–215.

Bandura, A. (1986). Social foundations of thought and action: A social cognitive theory: Prentice-Hall,

Englewood Cliffs, NJ.

Castellion, G., & Markham, S.K. (2013). Perspective: New product failure rates: Influence of

argumentum ad populum and self-interest. Journal of Product Innovation Management, 30(5),

–979.

Castro, C.A.B. (2018), The relationship between affect and consumers¨ resistance to innovation,

(Doctoral thesis, Fundação Getúlio Vargas, São Paulo, Brazil), FGV EAESP Pesquisa, Available

from: http://bibliotecadigital.fgv.br/dspace/handle/10438/20687.

Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision

Processes, 50(2), 179–211.

Bagozzi, R., & Lee, K. (1999). Consumer resistance to, and acceptance of, innovations. Advances in

Consumer Research, 26(1), 218–225.

Bandura, A. (1977). Self-efficacy: Toward a unifying theory of behavioral change. Psychological Review,

(2), 191–215.

Bandura, A. (1986). Social foundations of thought and action: A social cognitive theory: Prentice-Hall,

Englewood Cliffs, NJ.

Castellion, G., & Markham, S.K. (2013). Perspective: New product failure rates: Influence of

argumentum ad populum and self-interest. Journal of Product Innovation Management, 30(5),

–979.

Castro, C.A.B. (2018), The relationship between affect and consumers¨ resistance to innovation,

(Doctoral thesis, Fundação Getúlio Vargas, São Paulo, Brazil), FGV EAESP Pesquisa, Available

from: http://bibliotecadigital.fgv.br/dspace/handle/10438/20687.

Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision

Processes, 50(2), 179–211.

Bagozzi, R., & Lee, K. (1999). Consumer resistance to, and acceptance of, innovations. Advances in

Consumer Research, 26(1), 218–225.

Bandura, A. (1977). Self-efficacy: Toward a unifying theory of behavioral change. Psychological Review,

(2), 191–215.

Bandura, A. (1986). Social foundations of thought and action: A social cognitive theory: Prentice-Hall,

Englewood Cliffs, NJ.

Castellion, G., & Markham, S.K. (2013). Perspective: New product failure rates: Influence of

argumentum ad populum and self-interest. Journal of Product Innovation Management, 30(5),

–979.

Castro, C.A.B. (2018), The relationship between affect and consumers¨ resistance to innovation,

(Doctoral thesis, Fundação Getúlio Vargas, São Paulo, Brazil), FGV EAESP Pesquisa, Available

from: http://bibliotecadigital.fgv.br/dspace/handle/10438/20687.

Ram, S., & Sheth, J. (1989). Consumer resistance to innovations: The marketing problem and its

solutions. Journal of Consumer Marketing, 6(2), 5–14.

Ringle, C.M., Wende, S. and Becker, J.M. (2015). SmartPLS 3. Available From: www.smartpls.com

(Retrieved 10 May 2020).

Rogers, E.M. (2003). Diffusion of innovations. 5th ed.: Free Press, New York, NY.

Russell, J.A., & Mehrabian, A. (1977). Evidence for a three-factor theory of emotions. Journal of

Research in Personality, 11, 273–294.

So, J., Chethana, A., Daheem, H., Nidhi, A., Adam, D., & Durairaj, M. (2015). The psychology of

appraisal: Specific emotions and decision-making. Journal of Consumer Psychology, 25(3),

–371.

Szmigin, I., & Foxall, G. (1998). Three forms of innovation resistance: The case of retail payment

methods. Technovation, 18(6/7), 459–468.

Talke, K., & Heidenreich, S. (2014). How to overcome pro-change bias: Incorporating passive and active

innovation resistance in innovation decision models. The Journal of Product Innovation

Management, 31(5). 894–907.

Taylor, S., & Todd, P. (1995). Understanding information technology usage: A test of competing

models. Information Systems Research, 6(2), 144–176.

Thompson, R.L., Higgins, C.A., & Howell, J.M. (1991). Personal computing: Toward a conceptual model

of utilization. MIS Quarterly, 15(1), 124–143.

Venkatesh, V., Morris, M., Davis, G., & Davis, F. (2003). User acceptance of information technology:

Toward a unified view. MIS Quarterly, 27(3),425–478.

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Publicado

2021-10-20

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Como Citar

Functional, psychological and emotional barriers and the resistance to the use of digital banking services. (2021). INMR - Innovation & Management Review, 18(03), 331-348. https://doi.org/10.1108/INMR-07-2020-0093