• Ei tuloksia

Limitations and suggestions for further research

This dissertation, like all research, carries limitations that are discussed next. The limitations serve as bridges to new research ideas that merit attention in future studies.

This dissertation begins with an extensive conceptualization effort to understand the concept of ambivalence. As a result, an improved definition for ambivalence is provided.

In the definition, it is argued that ambivalence can be a property of any evaluative psychological concept. Preliminary supporting evidence for this argument can be found from recent literature suggesting that, for example, by adopting an ambivalence perspective to trust research, it is possible to develop more accurate insight about trust (Ou and Sia 2010; Moody et al., 2014). Accordingly, the wide use of ambivalence in different areas of research in marketing is advocated, and ambivalence is proposed as a framework with broad applicability to various areas of marketing. However, in this dissertation, the focus has been on attitudes, and therefore more specific insight on ambivalence in different evaluative concepts was not studied. Future research is encouraged in this area, as it would generate relevant insight for a wide audience of researchers in marketing. Additionally, the objective of the conceptual work (Publication I) was to develop the definition of ambivalence, or in other words, generate an improved understanding of what ambivalence is. To take this work further, additional conceptual work is needed to, for example, synthesize the attitude strength approach to ambivalence (Petty and Krosnick, 1995) and the MAID model (van Harreveld et al., 2009) to generate a more holistic conceptual understanding of the antecedents and consequences of ambivalence in the area of marketing.

While applying the ambivalence concept more widely, future research is also needed to understand the differences between ambivalence and other psychological conflicts in greater depth. Although the conceptual differences between ambivalence and, for example, cognitive dissonance are understood, comparative research on the consequences of these different conflicts on decision-making would enable understanding when and to what extent these conflicts are elicited though different factors and resolved differently.

In other words, a more comprehensive and general theorizing around different types of conflicts (including ambivalence) in research in marketing is necessary. This would also involve research on the relationship between choice conflicts (i.e., not knowing which alternative to choose when all alternatives area equally attractive; Tversky and Shafir, 1992) and ambivalence.

In this dissertation, many of the negative implications of ambivalence have been outlined, accompanied with preliminary findings regarding the positive consequences of ambivalence. The negative orientation toward ambivalence is in line with most research in marketing addressing individual responses to ambivalence, where it is widely assumed, and found, that ambivalence leads to negative outcomes from a marketing perspective (Jewell et al., 2002; Berndsen and van der Pligt, 2004; Costarelli and Colloca, 2004; Olsen et al., 2005; Penz and Hogg 2011). However, researchers in the field of management have proposed that ambivalence may also lead to positive outcomes (Fong 2006; Rees et al., 2013). Additionally, sometimes individuals might even seek experiences that generate ambivalent emotions, such as in the case of high-risk leisure activities (Celsi et al., 1993), and ambivalence has also been associated with increased attitude-behavior consistency (Jonas et al., 1997). Yet, there is little research on the potential positive consequences of ambivalence for consumer or organizational decision-making. This dissertation shows that ambivalence has positive consequences in the early stages of the decision-making process, on the landing page of a company website (Sipilä et al., 2016), thus providing preliminary insight into this topic. It would be relevant for future researchers to study what drives these effects. Perhaps when asked to evaluate a service, ambivalence on a landing page of a website has a positive influence on behavioral intentions because the customer needs to cope with ambivalence by searching for additional information about the company. Subsequently, once the customer has reached product information pages but still has not been able to resolve ambivalence, it might begin to have a negative influence on behavioral intentions because the customer does not believe that ambivalence toward this particular option can be resolved and stops engaging in further coping efforts. Additional research is needed on such dynamics, as well as the individual and environmental factors that turn the consequences of ambivalence positive or negative from a marketing perspective. Such an understanding would not only be theoretically interesting, but it would also help companies to understand when ambivalence should be minimized and in which cases it may not be equally problematic.

In terms of the decision-making process, one limitation of this dissertation is that the post-decision or post-purchase stage is not included in the empirical studies. However, ambivalence affects the pre- and post-purchase stages of the decision-making process (Roster and Richins, 2009), and many consequences of ambivalence, such as satisfaction or loyalty (Olsen et al., 2005), take place after the decision-making process for the focal product or service has been completed. In addition, the question remains as to whether ambivalence is reduced only before choice, or also after choice, and accordingly, whether there is a difference between post-decisional ambivalence and cognitive dissonance (Jewell et al., 2002). Future studies taking the post-decision or post-purchase processes into account as a part of the multi-stage decision-making process would provide an even more complete understanding of the role of ambivalence in decision-making processes.

While ambivalence was studied in multiple time points in this dissertation, the dynamics of ambivalence could be studied on a more detailed level in future research. In this dissertation, ambivalence was studied on the level of an entire stage of a decision-making process, or an aggregate of visits to certain types of web pages. However, encouraging

advancements have been made recently on the continuous measurement and analysis of ambivalence (Larsen et al., 2009; Larsen and McGraw 2011; Schneider et al., 2013;

Schneider et al., 2015). Studying the dynamics of ambivalence in such a detailed manner would be a natural next step to take the research conducted in this dissertation further.

For example, it was found that ambivalence on product information web pages has a negative influence on intentions to proceed in the decision-making process, and future research could analyze ambivalence data on a more fine-grained temporal level to determine whether there are specific elements on product information pages that systematically trigger ambivalence. This would enable an understanding of not only the consequences, but also the antecedents of ambivalence on a moment-to-moment basis.

The empirical research was mostly conducted in different “real-life” decision-making contexts. While this permits greater external validity than, for example, laboratory experiments, it also makes it more difficult to know all of the factors that contributed to ambivalence (Jewell et al., 2002). Hence, experimental research is recommended to further validate the results. On the other hand, larger-scale studies in various contexts are necessary to increase the generalizability of the results. This dissertation is among the first attempts to build an understanding of the role of ambivalence in the decision-making process, and therefore is partly exploratory in nature. Hence, future studies will have to confirm the findings through rigorous theory testing and continue building a holistic understanding around this important topic.

Finally, this dissertation presented the concept of ambivalence into the area of organizational buying behavior. In this work, consumer research and psychological research were applied to the area of organizational buying behavior. This was seen as a reasonable starting point because although the organizational and consumer buying contexts can be very different, in the case of complex, high-involvement decision-making, they are quite similar. Additionally, to move toward a more general understanding of marketing phenomena, it is beneficial to place less emphasis on the differences between consumer and organizational marketing because “industrial and consumer marketing are more similar than different” (Fern and Brown, 1984, p. 69).

Further, it has been suggested that the differences within consumer and industrial marketing are greater than the differences between the two (Fern and Brown, 1984).

Furthermore, in this dissertation the level of analysis was individual behavior, and therefore it was assumed that consumer and psychological research, which focuses on the behavior of individuals, would be applicable to organizational buying behavior. However, organizational buying behavior often involves a buying group, and different group dynamics and conflicts may come into play in organizational decision-making, which were not addressed in this dissertation. Furthermore, organizational buying may involve more interpersonal negotiations than consumer decision-making. Therefore, future research should broaden the level of analysis from individual to group decision-making and interpersonal communication when studying ambivalence in organizational decision-making processes.

References

Aaker, J., Drolet, A., and Griffin, D. (2008). Recalling mixed emotions. Journal of Consumer Research, 35(2), pp. 268-278.

Ajzen, I. (1996). The social psychology of decision-making. In: E. Tory Higgins and Arie W. Kruglanski (Eds.) Social psychology: Handbook of basic principles. New York:

Guilford Press, pp. 297-325.

Akinci, S., Kaynak, E., Atilgan, E., and Aksoy, Ş. (2007). Where does the logistic regression analysis stand in marketing literature? A comparison of the market positioning of prominent marketing journals. European Journal of Marketing, 41(5/6), pp. 537-567.

Ariely, D., and Zakay, D. (2001). A timely account of the role of duration in decision-making. Acta Psychologica, 108(2), pp. 187-207.

Armitage, C.J., and Conner, M. (2000). Attitudinal ambivalence: A test of three key hypotheses. Personality and Social Psychology Bulletin, 26(11), pp. 1421-1432.

Arnould, E.J., and Thompson, C. J. (2005). Consumer culture theory (CCT): Twenty years of research. Journal of Consumer Research, 31(4), pp. 868-882.

Ashforth, B.E., Rogers, K.M., Pratt, M.G., and Pradies, C. (2014). Ambivalence in organizations: A multilevel approach. Organization Science, 25(5), pp. 1453-1478.

Bagozzi, R.P., and Yi, Y. (1988). On the evaluation of structural equation models. Journal of the Academy of Marketing Science, 16(1), pp. 74-94.

Batra, R. and Ahtola, O.T. (1990). Measuring the hedonic and utilitarian sources of consumer attitudes. Marketing Letters, 2(2), pp. 159-170.

Bee, C.C., and Madrigal, R. (2013). Consumer uncertainty: The influence of anticipatory emotions on ambivalence, attitudes, and intentions. Journal of Consumer Behaviour, 12(5), pp. 370-381.

Berndsen, M., and Van der Pligt, J. (2004). Ambivalence towards meat. Appetite, 42(1), pp. 71-78.

Bettman, J., Johnson, E.J., and Payne, J.R. (1991) Consumer decision-making. In: J.

Payne, J.R. Bettman, and E.J. Johnson (Eds.) Handbook of Consumer Behaviour.

Englewood Cliffs, N.J.: Prentice Hall, pp. 50-84.

Bettman, J.R., and Park, C.W. (1980). Effects of prior knowledge and experience and phase of the choice process on consumer decision processes: A protocol analysis.

Journal of Consumer Research, 7(3), pp. 234-248.

Bleuler, E. ([1911] 1950). Dementia Praecox or the group of schizophrenias. New York:

International University Press.

Bolls, P.D., Lang, A., and Potter, R.F. (2001). The effects of message valence and listener arousal on attention, memory, and facial muscular responses to radio advertisements.

Communication Research, 28(5), pp. 627-651.

Brown, C., Costley, C., Friend, L., & Varey, R. (2010). Capturing their dream: Video diaries and minority consumers. Consumption, Markets and Culture, 13(4), pp. 419-436.

Bunn, M.D., Butaney, G.T., and Hoffman, N.P. (2001). An empirical model of professional buyers' search effort. Journal of Business-to-Business Marketing, 8(4), pp. 55-84.

Bush, V.D., Yang, L., and Hill, K.E. (2015). The ambivalent consumer: A sequential investigation of response amplification in buyer-seller encounters. Journal of Marketing Theory and Practice, 23, pp. 402-414.

Cabrera, A.F. (1994). Logistic regression analysis in higher education: An applied perspective. In: John C. Smart (Ed.), Higher education: Handbook of theory and research. New York: Agathon Press, pp. 225-256.

Cacioppo J.T., Berntson G.G. (1994). Relationship between attitudes and evaluative space: A critical review, with emphasis on the separability of positive and negative substrates. Psychological Bulletin, 115(3), pp. 401-423.

Cacioppo, J.T., Gardner, W.L., and Berntson, G.G. (1997). Beyond bipolar conceptualizations and measures: The case of attitudes and evaluative space.

Personality and Social Psychology Review, 1(1), pp. 3-25.

Chang, C. (2011). Feeling ambivalent about going green: Implications for green advertising processing. Journal of Advertising 40(4), pp. 19-31.

Chapman, R.G. (1986). Toward a theory of college selection: A model of college search and choice behaviour In: R.J. Lutz (Ed.), Advances in Consumer Research (Vol. 13, pp. 246-250). Provo: Association for Consumer Research.

Cherrington, J., & Watson, B. (2010). Shooting a diary, not just a hoop: Using video diaries to explore the embodied everyday contexts of a university basketball team.

Qualitative Research in Sport and Exercise, 2(2), pp. 267-281.

Celsi, R.L., Rose, R.L., and Leigh, T.W. (1993). An exploration of high-risk leisure consumption through skydiving. Journal of Consumer Research, 20(1), pp. 1-23.

Cohn, J.F., Ambadar, Z., and Ekman, P. (2007). Observer-based measurement of facial expression with the Facial Action Coding System. In: J.A. Coan and J.J.B. Allen (Eds.), The Handbook of Emotion Elicitation and Assessment, New York: Oxford University Press, pp. 203-221.

Cohn, J.F., Schmidt, K., Gross, R., and Ekman, P. (2002). Individual differences in facial expression: Stability over time, relation to self-reported emotion, and ability to inform person identification. Proceedings of the 4th IEEE International Conference on Multimodal Interfaces (p. 491). Washington: IEEE Computer Society.

Conner, M. and Sparks, P. (2002). Ambivalence and attitudes. European Review of Social Psychology, 12(1), pp. 37–70.

Conner, M., Sparks, P., Povey, R., James, R., Shepherd, R., and Armitage, C.J. (2002).

Moderator effects of attitudinal ambivalence on attitude–behaviour relationships.

European Journal of Social Psychology, 32(5), pp. 705-718.

Cornil, Y., Ordabayeva, N., Kaiser, U., Weber, B., and Chandon, P. (2014). The acuity of vice: Attitude ambivalence improves visual sensitivity to increasing portion size.

Journal of Consumer Psychology, 24(2), pp. 177-187.

Costarelli, S. and Colloca, P. (2004). The effects of attitudinal ambivalence on pro-environmental behavioural intentions. Journal of Environmental Psychology, 24(3), pp. 279-288.

Cubillo-Pinilla, J.M., Zuniga, J., Losantos, I.S., and Sanchez, J. (2009). Factors influencing international student’s evaluations of higher education programs. Journal of American Academy of Business, 15(1), pp. 270-278.

Dahl, D.W., Darke, P.R., Gorn, G.J., and Weinberg, C.B. (2005). Promiscuous or confident? Attitudinal ambivalence toward condom purchase. Journal of Applied Social Psychology, 35(4), pp. 869-887.

D’Arcey, T. (2013). Assessing the validity of FaceReader using facial EMG. Master’s thesis, California State University.

Deighton, J., MacInnis, D., McGill, A., and Shiv, B. (2010). Broadening the scope of consumer research. Journal of Consumer Research, 36(6), v-vii.

DeMarree, K.G., Clark, C.J., Wheeler, S.C., Briñol, P., and Petty, R.E. (2017). On the pursuit of desired attitudes: Wanting a different attitude affects information processing and behavior. Journal of Experimental Social Psychology, 70, pp. 129-142.

Deutsch, M. (1968). Field theory in social psychology. In: G. Lindsay and E. Aronson (Eds.), Handbook of Social Psychology. Reading, MA: Addison-Wesley, pp. 412-487.

Dhar, R., and Simonson, I. (1999). Making complementary choices in consumption episodes: Highlighting versus balancing. Journal of Research in marketing, 36(1), pp.

29-44.

Dhar, R., and Wertenbroch, K. (2000). Consumer choice between hedonic and utilitarian goods. Journal of Research in marketing, 37(1), 60-71.

Eagly, A.H., and Chaiken, S. (1993). The psychology of attitudes. Fort Worth, TX:

Harcourt Brace Jovanovich.

Eagly, A.H. and Chaiken, S. (2007). The advantages of an inclusive definition of attitude.

Social Cognition, 25(5), pp. 582 – 602.

Einhorn, H.J. and Hogarth, R.M. (1981). Behavioral decision theory: Processes of judgement and choice. Annual review of psychology, 32(1), pp. 53-88.

Ekman, P., and Friesen, W.V. (1976). Measuring facial movement. Environmental Psychology and Nonverbal Behavior, 1(1), pp. 56-75.

Eisenhardt, K.M. (1989). Building theories from case study research. Academy of Management Review, 14(4), pp. 532-550.

Fazio, R.H. (1995). Attitudes as object-evaluation associations: Determinants, consequences, and correlates of attitude accessibility. In R.E. Petty & J.A. Krosnick (Eds.), Attitude strength: Antecedents and consequences (pp. 247-282). Mahwah:

Erlbaum.

Fazio, R.H. (2007). Attitudes as object–evaluation associations of varying strength.

Social Cognition, 25(5), pp. 603-637.

Fern, E.F., and Brown, J.R. (1984). The industrial/consumer marketing dichotomy: A case of insufficient justification. Journal of Marketing, 48(2), pp. 68-77.

Festinger, L. (1962). A theory of cognitive dissonance. Stanford, CA: Stanford University Press.

Fong, C.T. (2006). The effects of emotional ambivalence on creativity. Academy of Management Journal, 49(5), pp. 1016-1030.

Forehand, M., Staton, M., & Tietje, B. (2007). Ambivalence as an inoculating agent: A built-in defense against attitude change. In G. Fitzsimons & V. Morwitz (Eds.), Advances in consumer research (Vol. 34, pp. 380-383). Duluth: Association for Consumer Research.

Fornell, C. and Larcker, D.F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Research in marketing, 18(1), pp. 39-50.

Frisch, D. and Baron, J. (1988). Ambiguity and rationality. Journal of Behavioral Decision-making, 1(3), pp. 149-157.

George, D., and Mallery, P. (2003). SPSS for Windows step by step: A simple guide and reference. 11.0 update. (4th ed.). Boston: Allyn and Bacon.

Glasman, L.R. and Albarracín, D. (2006). Forming attitudes that predict future behaviour:

A meta-analysis of the attitude-behaviour relation. Psychological Bulletin, 132(5), pp.

778-822

Glazer, R. (1991). Marketing in an information-intensive environment: Strategic implications of knowledge as an asset. Journal of Marketing, 55(October), pp. 1-19.

Goulding, C., and Saren, M. (2009). Performing identity: An analysis of gender expressions at the Whitby goth festival. Consumption, Markets and Culture, 12(1), pp.

27-46.

Grewal, R., Lilien, G.L., Bharadwaj, S., Jindal, P., Kayande, U., Lusch, R.F., and Spekman, R. (2015). Business-to-business buying: Challenges and opportunities.

Customer Needs and Solutions, 2(3), pp. 193-208.

Hair, J.F., Anderson, R.E., Tatham, R.L., and Black, W.C. (1998) Multivariate Data Analysis. Fifth Ed. Upper Saddle River, NJ: Prentice Hall.

Hampton, J.A. (2007). Typicality, graded membership, and vagueness. Cognitive Science, 31, pp. 355 - 384

Harrison-Walker, L.J. (2001). The measurement of word-of-mouth communication and an investigation of service quality and consumer commitment as potential antecedents.

Journal of Service Research, 4(1), pp. 60-75.

Hart, C. (2005). Doing a Literature Review. Releasing the Social Science Research Imagination. 7th edition. London: SAGE Publications Ltd.

Haynes, S.N., Richard, D., and Kubany, E.S. (1995). Content validity in psychological assessment: A functional approach to concepts and methods. Psychological Assessment, 7(3), pp.238-247.

Hodson, G., Maio, G.R., and Esses, V.M. (2001). The role of attitudinal ambivalence in susceptibility to consensus information. Basic and Applied Social Psychology, 23(3), pp. 197-205.

Hogg, M.K., and Penz, E. (2007). Extending understanding of consumer ambivalence in different shopping environments by investigating approach-avoidance conflicts. In S.

Borghini, M.A. McGrath, and C. Otnes (Eds.), European Advances in Consumer Research (Vol. 8, pp. 156-157). Duluth: Association for Consumer Research.

Holman, R.H. (1981). Apparel as communication. In: E.C. Hirschman and M.B.

Holbrook (Eds.), Advances in Consumer Research (Vol. 4, pp. 7-15). New York:

Association for Consumer Research.

Hong, J., & Lee, A.Y. (2010). Feeling mixed but not torn: The moderating role of construal level in mixed emotions appeals. Journal of Consumer Research, 37(3), pp.

456-472.

Hosmer, D.W., and Lemeshov, S. (2005). Applied Logistic Regression. Second edition.

John Wiley and Sons.

Hsieh, H.F. and Shannon, S.E. (2005). Three approaches to qualitative content analysis.

Qualitative Health Research, 15(9), pp. 1277–1288.

Hung, I., & Mukhopadhyay, A. (2012). Putting the consumer in the picture: Visual perspectives and mixed emotions in advertising. In Z. Gürhan-Canli, C. Otnes, & R.

Zhu (Eds.), Advances in Consumer Research (Vol. 40, pp. 276-279). Duluth:

Association for Consumer Research.

Hänze, M. (2001). Ambivalence, conflict, and decision-making: Attitudes and feelings in Germany towards NATO’s military intervention in the Kosovo war. European Journal of Social Psychology, 31(6), pp. 693-706.

Itzchakov, G., & Van Harreveld, F. (2018). Feeling torn and fearing rue: Attitude ambivalence and anticipated regret as antecedents of biased information seeking.

Journal of Experimental Social Psychology, 75, pp. 19-26.

Janis, I.L. and Mann, L. (1977). Decision-making: A Psychological Analysis of Conflict, Choice, and Commitment. New York: Free Press.

Jewell R.D., Coupey, E., and Jones, M.T. (2002). Catch a tiger by his toe: Ambivalence in decision-making in the 2000 presidential election. In: Broniarczyk, S.M., Nakamoto, K. (eds.). Advances in Consumer Research (Vol. 29, pp. 333-338).

Valdosta, GA: Association for Consumer Research.

Johnson, G.D. and Grier, S.A. (2012). What about the intended consequences? Journal of Advertising, 41(3), pp. 91-106.

Johnston, W.J. and Lewin, J.E. (1996). Organizational buying behavior: Toward an integrative framework. Journal of Business Research, 35, pp. 1-15.

Jonas, K., Diehl, M., and Brömer, P. (1997). Effects of attitudinal ambivalence on information processing and attitude-intention consistency. Journal of Experimental Social Psychology, 33(2), pp. 190–210.

Jonas, K., Broemer, P., and Diehl, M. (2000). Attitudinal ambivalence. European Review of Social Psychology, 11(1), pp. 35-74.

Joseph, M. and Joseph, B. (1998). Identifying needs of potential students in tertiary education for strategy development. Quality Assurance in Education, 6(2), pp. 90-96.

Kanade, T., Cohn, J.F., and Tian, Y. (2000). Comprehensive database for facial expression analysis. In: F.M Titsworth (Ed.), Proceedings of the Fourth IEEE International Conference on Automatic Face and Gesture Recognition, (pp. 46-53).

Grenoble: IEEE.

Kaplan, K.J. (1972). On the ambivalence-indifference problem in attitude theory and measurement: A suggested modification of the semantic differential technique.

Psychological Review, 77(5), pp. 361-372.

Keil, R.M. (2004). Coping and stress: A conceptual analysis. Journal of Advanced Nursing, 45(6), pp. 659 – 665.

Keller, M. (2005). Needs, desires and the experience of scarcity representations of recreational shopping in post-Soviet Estonia. Journal of Consumer Culture, 5(1), pp.

65-85.

Khawaja, M.A., Ruiz, N., and Chen, F. (2008). Think before you talk: An empirical study of relationship between speech pauses and cognitive load. Proceedings of the 20th Australasian Conference on ComputerHuman Interaction: Designing for Habitus and Habitat, pp. 335–338.

Kim, Y.M., Wang, M., Gotlieb, M.R., Gabay, I. and Edgerly, S. (2011). Ambivalence reduction and polarization in the campaign information environment: The interaction between individual-and contextual-level influences. Communication Research, 40(June), pp. 388-416.

Kircher, T.T., Brammer, M.J., Levelt, W., Bartels, M., and McGuire, P.K. (2004).

Pausing for thought: Engagement of left temporal cortex during pauses in speech.

NeuroImage, 21(1), pp. 84–90.

Krahmer, E., and Swerts, M. (2005). How children and adults produce and perceive uncertainty in audiovisual speech. Language and Speech, 48(1), pp. 29–53.

Kramer, T., Lau-Gesk, L., & Chiu, C. (2008). Managing mixed emotions: The role of biculturalism. In A. Y. Lee & D. Soman (Eds.), Advances in consumer research (Vol.

Kramer, T., Lau-Gesk, L., & Chiu, C. (2008). Managing mixed emotions: The role of biculturalism. In A. Y. Lee & D. Soman (Eds.), Advances in consumer research (Vol.