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CONCLUSION

In document University of Amsterdam (pagina 38-45)

responses. A widely used personal trait in sales promotion literature is deal-proneness, or rather promotion-proneness (Crespo-Almendros & Del Barrio-García, 2016). This variable can be measured through quite explicit questions such as: “I have a favorite brand, but most of the time I buy a brand that’s on special offer (Crespo-Almendros & Del Barrio-García, 2016).”

Another potential source of valuable insights on personal characteristics in risk reduction research could be to include whether someone is a Maximizer or ‘Satisficer’ (Schwartz, Ward, Monterosso, Lyubomirsky, White & Lehman, 2002). Satisficers (non-maximizers), a wordplay of satisfy and suffice, pursue a good enough option instead of the best option. Maximizers are people who want the best option possible. Therefore, they want to have the feeling they have considered all options. Maximizers tend to depend more on social comparison and self-esteem, hence social and psychological risk, than satisficers. Therefore, which risk perception(s) is most predominant for someone might differ depending on whether they are a maximizer of a satisficer. As a consequence, the most suitable sales promotion type for risk-relieving strategies may vary for these characteristics.

Whereas the literature indicated that non-monetary sales promotions were a more effective tool to reduce consumers’ financial risk perceptions, the other risk perceptions consumers can have of products/services remained untested. Therefore, the goal of this research was to test the effects of sales promotion types on the other risk dimensions as well.

An experiment with a between-subject design (no sales promotion, monetary sales promotion & non-monetary sales promotion) allowed us to test two effects through one manipulation: sales promotion (type). Firstly, the presence of sales promotions. Secondly, the differences between sales promotion types.

The results in this research showed all expected correlations, and their directions, between the included variables: perceived value, perceived risk and purchase intention. Moreover, the expected direct effects of hedonic value, overall risk, financial risk and psychological risk on purchase intention are confirmed in this research. Similar to prior risk studies (Mitchell &

Greatorex, 1993; Stone & Grøhaug, 1993), financial risk perceptions are the highest and have the strongest negative effect on purchase intention. Hedonic value has the strongest (positive) effect on purchase intention. However, not all the hypotheses are supported by the results. There is not found a significant effect of sales promotion presence. Furthermore, the moderating effect of sales promotion type does not take place in this experiment.

Although the moderating effect cannot be supported by the results of this research, there are some unexpected contradictive findings. The results indicate there is a significant difference in overall risk, financial risk and time risk perceptions between the sales promotion groups. In our study, the monetary sales promotion evokes less overall risk than the non-monetary sales promotion and fewer time risk than no sales promotion. For financial risk, the monetary sales promotion evokes fewer risk perceptions than both the non-monetary sales promotion and no sales promotion.

Our findings have implications for managers and should lead to further exploration of the role of sales promotion types in risk-relieving strategies. Managers should be careful with sales promotion choices to evoke fewer risk perceptions. Studies show different results, which may imply more factors play a part in sales promotion effects on risk perceptions. Future research should elaborate on this topic expand our knowledge. Firstly, to generalize the results to the real-world field experiments should be executed. Moreover, this might provide different insights. Secondly, different hotel classes (quality and price levels) should be examined. Risk and value perceptions may vary across these classes which, ultimately, can have consequences for sales promotion choice. Lastly, personal characteristics should be included within the constructs of this research.

REFERENCE LIST

Babin, B. J., Darden, W. R., & Griffin, M. (1994). Work and/or Fun: Measuring Hedonic and Utilitarian Shopping Value. Journal of Consumer Research, 20(4), 644.

https://doi.org/10.1086/209376

Barber, N., Kuo, P., Bishop, M., & Goodman, R. (2012). Measuring psychographics to assess purchase intention and willingness to pay. Journal of Consumer Marketing, 29(4),

280–292. https://doi.org/10.1108/07363761211237353

Batra, R., & Ahtola, O. T. (1991). Measuring the hedonic and utilitarian sources of consumer attitudes. Marketing Letters, 2(2), 159–170. https://doi.org/10.1007/bf00436035

Belch, G. E., & Belch, M. A. (2003). Advertising and Promotion: An Integrated Marketing Communications Perspective (6th ed.). Mcgraw-Hill (Tx).

Bland, J. M., & Altman, D. G. (1997). Statistics notes: Cronbach’s alpha. BMJ, 314(7080), 572. https://doi.org/10.1136/bmj.314.7080.572

Blattberg, R. C., & Briesch, R. A. (2012). Sales Promotions. Oxford Handbooks Online, 1.

https://doi.org/10.1093/oxfordhb/9780199543175.013.0024

Anne-Sophie Cases (2002) Perceived risk and risk-reduction strategies in Internet shopping, The International Review of Retail, Distribution and Consumer Research, 12:4, 375-394, DOI: 10.1080/09593960210151162

Chandon, P., Wansink, B., & Laurent, G. (2000). A Benefit Congruency Framework of Sales Promotion Effectiveness. Journal of Marketing, 64(4), 65–81.

https://doi.org/10.1509/jmkg.64.4.65.18071

Crespo-Almendros, E., & Del Barrio-García, S. (2016). Online airline ticket purchasing:

Influence of online sales promotion type and Internet experience. Journal of Air Transport Management, 53, 23–34. https://doi.org/10.1016/j.jairtraman.2016.01.004

Crowley, A. E., Spangenberg, E. R., & Hughes, K. R. (1992). Measuring the hedonic and

utilitarian dimensions of attitudes toward product categories. Marketing Letters, 3(3), 239–249. https://doi.org/10.1007/bf00994132

d’Astous, A., & Landreville, V. (2003). An experimental investigation of factors affecting consumers’ perceptions of sales promotions. European Journal of

Marketing, 37(11/12), 1746–1761. https://doi.org/10.1108/03090560310495447

Derbaix, C. (1983). Perceived risk and risk relievers: An empirical investigation. Journal of Economic Psychology, 3(1), 19–38. https://doi.org/10.1016/0167-4870(83)90056-9

Dhar, R., & Wertenbroch, K. (2000). Consumer Choice between Hedonic and Utilitarian Goods. Journal of Marketing Research, 37(1), 60–71.

https://doi.org/10.1509/jmkr.37.1.60.18718

Dholakia, M. (1997). An Investigation of the Relationship Between Perceived Risk and Product Involvement. Advances in Consumer Research. Volume 4, (159-167).

Fam, K.-S., Brito, P. Q., Gadekar, M., Richard, J. E., Jargal, U., & Liu, W. (2019). Consumer attitude towards sales promotion techniques: a multi-country study. Asia Pacific Journal of Marketing and Logistics, 31(2), 437–463. https://doi.org/10.1108/apjml-01-2018-0005

Gedenk, K., Neslin, S. A., & Ailawadi, K. L. (2009). Sales Promotion. Retailing in the 21st Century, 393–407. https://doi.org/10.1007/978-3-540-72003-4_24

Hauser, D. J., Ellsworth, P. C., & Gonzalez, R. (2018). Are Manipulation Checks

Necessary? Frontiers in Psychology, 9, 1. https://doi.org/10.3389/fpsyg.2018.00998

Hayes, A. F. (2012). PROCESS: A versatile computational tool for observed variable mediation, moderation, and conditional process modeling [White paper]. Retrieved from http://www.afhayes.com/public/process2012.pdf

Huff, L. C., & Alden, D. L. (2000). A Model of Managerial Response to Sales Promotions. Journal of Global Marketing, 13(3), 7–28.

https://doi.org/10.1300/j042v13n03_02

Kaplan, L. B., Szybillo, G. J., & Jacoby, J. (1974). Components of perceived risk in product purchase: A cross-validation. Journal of Applied Psychology, 59(3), 287–291.

https://doi.org/10.1037/h0036657

Kim, L. H., Kim, D. J., & Leong, J. K. (2005). The Effect of Perceived Risk on Purchase Intention in Purchasing Airline Tickets Online. Journal of Hospitality & Leisure Marketing, 13(2), 33–53. https://doi.org/10.1300/j150v13n02_04

Kivetz, R., & Zheng, Y. (2017). The effects of promotions on hedonic versus utilitarian purchases. Journal of Consumer Psychology, 27(1), 59–68.

https://doi.org/10.1016/j.jcps.2016.05.005

Kumar, M., Rangachari, A., Jhingran, A., & Mohan, R. (1998). Sales Promotions on the Internet. Proceedings of the 3rd USENIX Workshop of Electronic Commerce.

https://www.usenix.org/legacy/events/ec98/full_papers/kumar_promotions/kumar_pro motions.pdf

Kwok, S., & Uncles, M. (2005). Sales promotion effectiveness: the impact of consumer differences at an ethnic‐group level. Journal of Product & Brand Management, 14(3), 170–186. https://doi.org/10.1108/10610420510601049

Lim, E. A. C., & Ang, S. H. (2008). Hedonic vs. utilitarian consumption: A cross-cultural perspective based on cultural conditioning. Journal of Business Research, 61(3), 225–

232. https://doi.org/10.1016/j.jbusres.2007.06.004

Lowe, B. (2010). Consumer perceptions of extra free product promotions and discounts: the moderating role of perceived performance risk. Journal of Product & Brand

Management, 19(7), 496–503. https://doi.org/10.1108/10610421011086919

Mitchell, V.-W., & Greatorex, M. (1993). Risk Perception and Reduction in the Purchase of Consumer Services. The Service Industries Journal, 13(4), 179–200.

https://doi.org/10.1080/02642069300000068

Murray, K. B., & Schlacter, J. L. (1990). The impact of services versus goods on consumers’

assessment of perceived risk and variability. Journal of the Academy of Marketing Science, 18(1), 51–65. https://doi.org/10.1007/bf02729762

Overby, J. W., & Lee, E.-J. (2006). The effects of utilitarian and hedonic online shopping

value on consumer preference and intentions. Journal of Business Research, 59(10–

11), 1160–1166. https://doi.org/10.1016/j.jbusres.2006.03.008

Pajic, S. (2020). Thesis Research Methods, Session 5 [Powerpoints].

Retrieved https://canvas.uva.nl/courses/18548/files/3476233?module_item_id=720589

Peter, J. P., & Ryan, M. J. (1976). An Investigation of Perceived Risk at the Brand

Level. Journal of Marketing Research, 13(2), 184. https://doi.org/10.2307/3150856

Rimal, A. P., McWatters, K. H., Hashim, I. B., & Fletcher, S. M. (2004). Intended vs. Actual Purchase Behavior for Irradiated Beef. Journal of Food Products Marketing, 10(4), 1–

15. https://doi.org/10.1300/j038v10n04_01

Santini, F. de O., Sampaio, C. H., Perin, M. G., Espartel, L. B., & Ladeira, W. J. (2015).

Moderating Effects of Sales Promotion Types. BAR - Brazilian Administration Review, 12(2), 169–189. https://doi.org/10.1590/1807-7692bar2015140057

Shimp, T. A., & Bearden, W. O. (1982). Warranty and Other Extrinsic Cue Effects on Consumers’ Risk Perceptions. Journal of Consumer Research, 9(1), 38.

https://doi.org/10.1086/208894

Schwartz, B., Ward, A., Monterosso, J., Lyubomirsky, S., White, K., & Lehman, D. R.

(2002). Maximizing versus satisficing: Happiness is a matter of choice. Journal of Personality and Social Psychology, 83(5), 1178–1197. https://doi.org/10.1037/0022-3514.83.5.1178

Voss, K. E., Spangenberg, E. R., & Grohmann, B. (2003). Measuring the Hedonic and Utilitarian Dimensions of Consumer Attitude. Journal of Marketing Research, 40(3), 310–320. https://doi.org/10.1509/jmkr.40.3.310.19238

Wilkerson, M., & Olson, M. R. (1997). Misconceptions About Sample Size, Statistical Significance, and Treatment Effect. The Journal of Psychology, 131(6), 627–631.

https://doi.org/10.1080/00223989709603844

Zhang, J., & Wedel, M. (2009). The Effectiveness of Customized Promotions in Online and

Offline Stores. Journal of Marketing Research, 46(2), 190–206.

https://doi.org/10.1509/jmkr.46.2.190

APPENDICES

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