Behavioral research shows that reasons for and reasons against adopting innovations differ qualitatively, and they influence consumers’ decisions in dissimilar ways. This has important implications for theorists and managers, as overcoming barriers that cause resistance to innovation calls for marketing approaches other than promoting reasons for adoption of new products and services. Consumer behavior frameworks in diffusion of innovation (DOI) studies have largely failed to distinctly account for reasons against adoption. Indeed, no study to date has tested the relative influence of adoption and resistance factors in a single framework. This research aims to address this shortcoming by applying a novel consumer behavior model (i.e., behavioral reasoning theory) to test the relative influence of both reasons for and, importantly, reasons against adoption in consumers’ innovation adoption decisions. Based on two empirical studies, one with a product and a second with a service innovation, findings demonstrate that behavioral reasoning theory provides a suitable framework to model the mental processing of innovation adoption. Implications for managers and researchers are discussed.
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Agarwal, S., & Teas, R. K. (2001). Perceived value: mediating role of perceived risk. J Mark Theory Pract, 9(4), 1–14.
Ajzen, I. (1991). The theory of planned behaviour. Organ Behav Hum Decis Process, 50, 179–211.
Antioco, M., & Kleijnen, M. (2010). Consumer adoption of technological innovations: effects of psychological and functional barriers in a lack of content versus a presence of content situation. Eur J Mark, 44(11/12), 1700–1724.
Arts, J. W. C., Frambach, R. T., & Bijmolt, T. H. (2011). Generalizations on consumer innovation adoption: a meta-analysis on drivers of intention and behavior. Int J Res Mark, 28(2), 134–144.
Bagozzi, R. P. (1992). The self-regulation of attitudes, intentions, and behavior. American Sociological Association: Social Psychology Quarterly.
Bagozzi, R. P., & Yi, Y. (2012). Specification, evaluation, and interpretation of structural equation models. J Acad Mark Sci, 40(1), 8–34.
Bagozzi, R. P., Gürnao-Canli, Z., & Priester, J. (2002). The social psychology of consumer behavior. Buckingham: Open University Press.
Bartl, M., Füller, J., Mühlbacher, H., & Ernst, H. (2012). A Manager’s perspective on virtual customer integration for new product development. J Prod Innov Manag, 29(6), 1031–1046.
Berchicci, L., & Bodewes, W. (2005). Bridging environmental issues with new product development. Bus Strateg Environ, 14(5), 272–85.
Chazidakis, A., & Lee, M. S. W. (2013). Anti-consumption as the study of reasons against. J Macromarketing, 33(3), 190–203.
Chen, F. F., Sousa, K. H., & West, S. G. (2005). Teacher’s corner: testing measurement invariance of second-order factor models. Struct Aequationes Model A Multidiscip J, 12(3), 37–41.
Claudy, M. C., Peterson, M., & O’Driscoll, A. (2013). Understanding the attitude-behavior Gap for renewable energy systems using behavioral reasoning theory. J Macromarketing, 33(4), 273–287.
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. Manag Inf Syst Q, 13, 319–339.
Day, R. L., & Herbig, P. A. (1992). Customer acceptance: the key to successful introductions of innovations. Mark Intell Plan, 10(1), 4–15.
Dholakia, U. M. (2001). A motivational process model of product involvement and consumer risk perception. Eur J Mark, 35(11/12), 1340–60.
Eagly, A. H., & Chaiken, S. (1998). Attitude structure and function. In D. T. Gilbert, S. T. Fiske, & G. Lindzey (Eds.), Handbook of social psychology (pp. 269–322). New York: McGraw-Hill.
Fishbein, M., & Ajzen, I. (1975). Belief, attitude, intention, and behavior: an introduction to theory and research. Philosophy rhetoric. Reading, MA: Addison-Wesley.
Fornell, C., & Larcker, D. (1981). Evaluating structural equation models with unobservable variables and measurement error (pp. 39–50). XVI (February): Journal of Marketing Research.
Garcia, R., Bardhi, F., & Friedrich, C. (2007). Overcoming consumer resistance to innovation. MIT Sloan Manag Rev, 48(4).
Gatignon, H., & Robertson, T. S. (1989). Technology Diffusion: An Empirical Test of Competitive Effects, Journal of Marketing,53(January), 35–49
Gerbing, D., & Anderson, J. (1988). An updated paradigm for scale development incorporating unidimensionality and its assessment. Journal of Marketing Research, XXV (May), 186–193.
Gourville, J. T. (2006). Eager sellers and stony buyers: understanding the psychology of new-product adoption. Harv Bus Rev, 84(6).
Gregan-Paxton, J., & John, D. R. (1997). Consumer learning by analogy: a model of internal knowledge transfer. J Consum Res, 24(3), 266–84.
Gregan-Paxton, J., & Moreau, P. (2003). How Do consumers transfer existing knowledge? a comparison of analogy and categorization effects. J Consum Psychol, 13(4), 422–430.
Hauser, J., Tellis, G. J., & Griffin, A. (2006). Research on innovation : a review and agenda for marketing science. Mark Sci, 25(6).
Im, S., Mason, C. H., & Houston, M. B. (2007). Does innate consumer innovativeness relate to new product/service adoption behavior? the intervening role of social learning via vicarious innovativeness. J Acad Mark Sci, 35(1), 63–75.
Jackson, T. (2005). Motivating sustainable consumption. London: A Review of Evidence on Consumer Behavior and Behavioral Change. Report to the. Sustainable Development Research Network.
Janis, I. L., & Mann, L. (1977). Decision making: a psychological analysis of conflict, choice and commitment. New York: Free Press.
Janz, N. K., & Becker, M. H. (1984). The health belief model: a decade later. Health Educ Behav, 11(1), 1–47.
John, A., & Klein, J. (2003). The boycott puzzle: consumer motivations for purchase sacrifice. Manag Sci, 49(9), 1196–1209.
Karahanna, E. (2006). Reconceptualizing compatibility beliefs in technology acceptance research. MIS Q, 30(4), 781–804.
Kleijnen, M., Lee, N., & Wetzels, M. (2009). An exploration of consumer resistance to innovation and its antecedents. J Econ Psychol, 30(3), 344–357.
Kulviwat, S., Bruner, G. C., & Al-Shuridah, O. (2009). The role of social influence on adoption of high tech innovations: The moderating effect of public/private consumption. J Bus Res, 62(7), 706–712.
Kunda, Z. (1990). The case for motivated reasoning. Psychol Bull, 108(3), 480–98.
Kvale, S. (1996). Interviews: An Introduction to Qualitative Research Interviewing. Sage Publications
Langerak, F., & Verhoef, P. C. (2001). Possible determinants of consumers’ adoption of electronic grocery shopping in the Netherlands. J Retail Consum Serv, 8(5), 275–285.
Laukkanen, T., Sinkkonen, S., Kivijarvi, M., & Laukkanen, P. (2007). Innovation resistance among mature consumers. J Consum Mark, 24(7), 419–27.
Lee, T. W., Mitchell, T. R., Holtom, B. C., McDaniel, L. S., & Hill, J. W. (1999). The unfolding model of voluntary turnover: a replication and extension. Acad Manag J, 42(4), 450–462.
Lu, J.-L., Chou, H.-Y., & Ling, P.-C. (2009). Investigating passengers’ intentions to use technology-based self check-in services. Transp Res Part E Logist Transp Rev, 45(2), 345–356.
Marsh, H. W., & Hocevar, D. (1985). Application of confirmatory factor analysis to the study of self-concept: First- and higher order factor models and their invariance across groups. Psychol Bull, 97(3), 562–582.
McAlister, L., & Pessemier, E. (1982). Variety seeking behavior: an interdisciplinary review. J Consum Res, 9(3), 311–322.
Molesworth, M., & Suortti, J.-P. (2002). Buying cars online: the adoption of the Web for high-involvement, high-cost purchases. J Consum Behav, 2(2), 155–168.
Moore, G. A. (1999). Crossing the Chasm. Marketing and Selling High-Tech Products to Mainstream Customer (revised edition). New York: HarperCollins
Moreau, C., Lehmann, D., & Markman, A. (2001). Entrenched knowledge structures and consumer response to new products. Journal of Marketing Research, XXXVIII
Nowak, A., Vallacher, R. R., Tesser, A., & Borkowski, W. (2000). Society of self: the emergence of collective properties in self-structure. Psychol Rev, 107(1), 39–61.
Nyrud, A. Q., Roos, A., & Sande, J. B. (2008). Residential bioenergy heating: a study of consumer perceptions of improved woodstoves. Energy Policy, 36(8), 3169–3176.
Oreg, S. (2003). Resistance to change: developing an individual differences measure. J Appl Psychol, 88(4), 680–693.
Parasuraman, A., & Grewal, D. (2000). The impact of technology on the quality-value-loyalty chain: a research agenda. J Acad Mark Sci, 28(1), 168–174.
Pennington, N., & Hastie, R. (1988). Explanation-based decision making: effects of memory structure on judgment. J Exp Psychol Learn Mem Cogn, 14, 521–533.
Porter, C. E., & Donthu, N. (2006). Using the technology acceptance model to explain how attitudes determine internet usage: the role of perceived access barriers and demographics. J Bus Res, 59(9), 999–1007.
Posavac, S. S., Brakus, J. J., & Herzenstein, M. (2007). Adoption of New and really New products: the effects of self-regulation systems and risk salience. J Mark Res, 44(2), 251–260.
Prochaska, J. O., Velicer, W. F., Rossi, J. S., Goldstein, M. G., Markus, B. H., & Rakowski, W. (1994). Stages of change and decisional balance model for 12 problem behaviors. Health Psychol, 13, 39–46.
Ram, S. (1987). A model of innovation resistance. Advances in Consumer Research, 14(1), 208–12.
Ram, S., & Sheth, J. N. (1989). Consumer resistance to innovations: the marketing problem and its solution. J Consum Mark, 6(2), 5–14.
Reinders, M. J., Dabholkar, P. A., & Frambach, R. T. (2008). Consequences of forcing consumers to Use technology-based self-service. J Serv Res, 11(2), 107–123.
Rogers, E. M. (1962). Diffusion of Innovations. Free Press of Glencoe
Schwartz, S. H. (2006). Basic human values : an overview basic human values : theory, methods, and applications introduction to the values theory. Appl Psychol, 48(1), 49–71.
Schwarz, N., & Ernst, A. (2008). Agent-based modelling of the diffusion of environmental innovations - an empirical approach. Technol Forecast Soc Chang, 76(4), 497–511.
Sheth, J. N. (1981). Psychology of innovation resistance. Res Mark, 4, 273–282.
Snyder, M. (1992). Motivational foundations of behavioral confirmation. In M. P. Zanna (Eds.), Advances in Experimental Social Psychology (pp. 67–114). San Dieg, CA.: Academic Press.
Stone, R. N., & Grønhaug, K. (1993). Perceived risk: further considerations for the marketing discipline. Eur J Mark, 27(3), 39–50.
Sutton, S. (2004). Determinants of Health Related Behaviors: Theoretical and Methodological issues. In: The Sage Handbook of Health Psychology, Stephen R. Sutton, Andrew S. Baum and Marie Johnston, eds. London, UK: Sage, 94–126.
Thaler, R. H. (1999). Mental accounting matters. J Behav Decis Mak, 12(3), 183–206.
Thomas, J. B., Clark, S. M., & Gioia, D. A. (1993). Strategic sensemaking and organizational performance. Linkages among scanning Manag, 36(2), 239–70.
Tornatzky, L. G. & K. J. Klein (1982). Innovation characteristics and innovation adoption–implementation: A meta-analysis of findings. IEEE Transactions on Engineering Management, 29(1), 28–45.
Tversky, A., & Kahneman, D. (1974). Judgment under uncertainty: heuristics and biases. Science, 185(4157), 1124–31.
Venkatesh, V., & Brown, S. (2001). A longitudinal investigation of personal computers in homes: adoption determinants and emerging challenges. MIS Q, 25(1), 71–102.
Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology. Toward a Unified View MIS Quarterly, 27(3), 425–478.
Westaby, J. D. (2005). Behavioral reasoning theory : identifying new linkages underlying intentions and behavior. Organ Behav Hum Decis Process, 98, 97–120.
Westaby, J. D., & Fishbein, M. (1996). Factors underlying behavioural choice: testing a new reasons theory approach. J Appl Soc Psychol, 13, 1307–1323.
Westaby, J. D., Probst, T. M., & Lee, B. C. (2010). Leadership decision-making: a behavioral reasoning theory analysis. Leadersh Q, 21(3), 481–495.
Wood, S. L., & Moreau, C. P. (2006). From fear to loathing ? How emotion Infiuences the evaluation and early use of innovations. J Mark, 70(July), 44–57.
Wu, J., & Wang, S. (2005). What drives mobile commerce ? an empirical evaluation of the revised technology acceptance model. Information Manag, 42, 719–729.
Zhang, T., Gensler, S., & Garcia, R. (2011). A study of the diffusion of alternative fuel vehicles: an agent-based modeling approach. J Prod Innov Manag, 28(2), 152.
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Claudy, M.C., Garcia, R. & O’Driscoll, A. Consumer resistance to innovation—a behavioral reasoning perspective. J. of the Acad. Mark. Sci. 43, 528–544 (2015). https://doi.org/10.1007/s11747-014-0399-0
- Adoption of innovation
- Resistance to innovation
- Behavioral reasoning theory
- Consumer behavior