A change for the better? Digital health technologies and changing food consumption behaviors

Psychology and Marketing

Volumn 32, Issue 5, 2015, Pages 585-600

  Lowe, Ben ^a   Fraser, Iain ^a   Souza Monteiro, Diogo M ^b  

^a UNIVERSITY OF KENT   (United Kingdom)

^b NEWCASTLE UNIVERSITY   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 84928559838     PISSN: 07426046     EISSN: 15206793     Source Type: Journal    
DOI: 10.1002/mar.20802     Document Type: Article

References (117)

1. Ailawadi, K. L., Beauchamp, J. P., Donthu, N., Gauri, D. K., & Shankar, V. (2009). Communication and promotion decisions in retailing: A review and directions for future research. Journal of Retailing, 85, 42-45.
2. Areni, C. S., & Black, I. (2015). Consumers' responses to small portions: Signaling increases savoring and satiation. Psychology & Marketing, 32(5).
3. Ariely, D., Loewenstein, G., & Prelec, D. (2003). "Coherent arbitrariness": Stable demand curves without stable preferences. The Quarterly Journal of Economics, 118, 73-105.
4. Arts, J. W. C., Frambach, R. T., & Bijmolt, T. H. A. (2011). Generalizations on consumer innovation adoption: A meta-analysis on drivers of intention and behavior. International Journal of Research in Marketing, 28, 134-144.
5. Ashton, J. R., Middleton, J., & Lang, T. (2014). Open letter to Prime Minister David Cameron on food poverty in the UK. The Lancet, 383, 1631.
6. Bahl, S., Milne, G. R, Ross, S. M., & Chan, K. (2013). Mindfulness: A long-term solution for mindless eating by college students. Journal of Public Policy & Marketing, 32, 173-184.
7. Balcombe, K. G., Fraser, I. M., & Di Falco, S. (2010). Traffic lights and food choice: A choice experiment examining the relationship between food labels and price. Food Policy, 35, 211-220.
8. Balcombe, K. G., Fraser, I. M., Lowe, B., & Souza-Monteiro, D. (2013). Attribute non-attendance and attribute importance ranking responses within discrete choice experiments. Paper presented at the European Association of Agricultural Economists (EAAE) Seminar, Escola Superior Agricultura de Barcelona (ESAB), Politechnic University of Catalonia, Barcelona, Spain.
9. Baldwin, C. (2014, April 7). Retailers to invest more in technology throughout 2014. Retrieved March 16, 2015, from http://www.computerweekly.com/news/2240217612/Retailers-to-invest-more-on-technology-in-2014.
10. Bender, M. M., & Derby, B. M. (1992). Prevalence of reading nutrition information and ingredient information on food labels among adult Americans: 1982-1988. Journal of Nutrition Education, 24, 292-297.
11. Bird, J., Fozzati, D., Harrison, D., & Marshall, P. (2013). Healthy shopping: A longitudinal study of a mobile app to encourage a balanced diet. In F. Mattern & S. Santini (Eds.), UbiComp '13 Adjunct Proceedings of the 2013 ACM Conference on Pervasive and Ubiquitous Computing Adjunct Publication (pp. 1047-1054). New Y ork, NY: ACM.
12. Block, L. G., & Peracchio, L. A. (2006). The calcium quandary: How consumers use nutrition labels. Journal of Public Policy and Marketing, 25, 188-196.
13. Bui, M., & Krishen, A. (2015). So close yet so far away: The moderating effect of regulatory focus orientation on health behavioral intentions. Psychology & Marketing, 32(5).
14. Burton, S., & Andrews, J. C. (1996). Age, product nutrition, and label format effects on consumer perceptions and product evaluations. Journal of Consumer Affairs, 30, 68-89.
15. Burton, S., Howlett, E., & Tangari, A. H. (2009). Food for thought: How will the nutrition labeling of quick service restaurant menu items influence consumer's product evaluations, purchase intentions, and choices? Journal of Retailing, 85, 258-273.
16. Caldeira, M., Sottomayor, M., & Souza Monteiro, D. M. (2011, July). Portuguese retailer's motivations to adopt front of pack nutrition labels: A qualitative analysis. Paper presented at the Agricultural and Applied Economics Association 2011 Annual Meeting. Retrieved March 16, 2015, from http://ageconsearch.umn.edu/handle/109189.
17. CapGemini (2014, January 15). £91 billion spent online in 2013-IMRG Capgemini e-retail sales index (press release). Retrieved March 16, 2015, from http://www.uk.capgemini.com/news/uk-news/ps91-billion-spent-online-in-2013-imrg-capgemini-e-retail-sales-index.
18. Cavanaugh, L. A. (2014). Because I (don't) deserve it: How relationship reminders and deservingness influence consumer indulgence. Journal of Marketing Research, 51, 218-232.
19. Cawley, J., & Meyerhoefer, C. (2011). The medical care costs of obesity: An instrumental variable approach. Journal of Health Economics, 31, 219-230.
20. Chandon, P., & Wansink, B. (2007a). The biasing health halos of fast-food restaurant health claims: Lower calorie estimates and higher side-dish consumption intentions. Journal of Consumer Research, 34, 301-314.
21. Chandon, P., & Wansink, B. (2007b). Is obesity caused by calorie underestimation? A psychophysical model of meal size estimation. Journal of Marketing Research, 44, 84-99.
22. Chernev, A. (2011a). The dieter's Paradox, Journal of Consumer Psychology, 21, 178-183.
23. Chernev, A. (2011b). Semantic anchoring in sequential evaluations of vices and virtues. Journal of Consumer Research, 37, 761-764.
24. Chernev, A., & Gal, D. (2011). Categorizing effects in value judgments: Averaging bias in evaluating combinations of vice and virtues. Journal of Marketing Research, 47, 738-747.
25. Cialdini, R. (2007). Descriptive norms as underappreciated sources of social control. Psychometrika, 73, 263-268. doi:10.1007/s11336-006-1560-6
26. Cole, C. A., & Garth, G. J. (1990). Cognitive and age related differences in the ability to use nutritional information in a complex environment. Journal of Marketing Research, 27 (May), 175-84.
27. Consumers International (2014, May 18). CI demands tobacco style plan to cite obesity (press release). Retrieved March 16, 2015, from http://www.consumersinternational.org/news-and-media/news/2014/05/global-obesity-report/.
28. Cornelisse-Vermaat, J. R., Pfaff, S., Voordouw, J., Chryssochoidis, G., Theodoridis, G., Woestman, L., et al. (2008). The information needs and labelling preferences of food allergic consumers: The views of stakeholders regarding information scenarios. Trends in Food Science & Technology, 19, 669-676.
29. Cornelisse-Vermaat, J. R., Voordouw, J., Yiakoumaki, V., Theodoridis, G., & Frewer, L. J. (2008). Food-allergic consumers' labelling preferences: A cross-cultural comparison. European Journal of Public Health, 18(2), 115-120.
30. Coulson, N. S. (2000). An application of the stages of change model to consumer use of food labels. British Food Journal, 102, 661-668
31. Cowburn, G., & Stockley, L. (2005). Consumer understanding and use of nutritional labelling: A systematic review. Public Health Nutrition, 8, 21-28.
32. Dabholkar, P. A., & Sheng, X. (2012). Consumer participation in using online recommendation agents: Effects on satisfaction, satisfaction, trust and purchase intentions. Service Industries Journal, 32, 1433-1449.
33. Davies, S. C. (2012). Chief Medical Officer's summary. Annual Report of the Chief Medical Officer. Retrieved March 16, 2015, from https://www.gov.uk/government/uploads/system/uploads/attachment_data/file/298297/cmo-report-2012.pdf.
34. Davis F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13, 319-340.
35. Drichoutis, A. C., Lazaridis, P., & Nayga, R. M. (2005). Nutrition knowledge and consumer use of nutritional food labels. European Review of Agricultural Economics, 32(March), 93-118.
36. Fallaize, R., Macready, A. L., Butler, L. T., Ellis, J. A., & Lovegrove, J. A. (2013). An insight into the public acceptance of nutrigenomic-based personalised nutrition. Nutrition Research Reviews, 26, 39-48.
37. Farr-Wharton, G., Foth, M., & Choi, J. H. (2014). Identifying factors that promote consumer behaviours causing expired domestic waste. Journal of Consumer Behaviour, 13, 393-402.
38. Finkelstein, E. A, Trogdon, J. G., Cohen, J. W., & Dietz, W. (2009). Annual medical spending attributable to obesity: Payer-and service-specific estimates. Health Affairs, 28, w822-w831.
39. Frewer, L. J., Bergmann, K., Brennan, M., Lion, R., Meertens, R., Rowe, G., et al. (2011). Consumer response to novel agri-food technologies: Implications for predicting consumer acceptance of emerging food technologies. Trends in Food Science and Technology, 22, 442-456.
40. Ganesan, S., George, M., Jap, S., Palmatier, R. W., & Weitz, B. (2009). Supply chain management and retailer performance: Emerging trends, issues and implications for research and practice. Journal of Retailing, 85, 84-94.
41. GAO (2008). Food labeling. Retrieved March 16, 2015, from http://www.gao.gov/new.items/d08597.pdf.
42. Geier, A. B., Rozin, P., & Doros, G. (2006). A new heuristic that helps explain the effect of portion size on food intake. Psychological Science, 17, 521-525
43. Goldstein, N. J., Cialdini, R. B., & Griskevicius, V. (2008). A room with a viewpoint: Using normative appeals to motivate environmental conservation in a hotel setting. Journal of Consumer Research, 35, 472-482.
44. Griskevicius, V., Cialdini, R. B., & Goldstein, N. J. (2008). Social norms: An underestimated and underemployed lever for managing climate change. International Journal of Sustainability Communication, 3, 5-13.
45. Grunert, K. G., & Wills, J. M. (2007). A review of European research on consumer response to nutrition information on food labels. Journal of Public Health, 15 (October), 385-399.
46. Grunert, K. G., Wills, J. M., & Fernández-Celemín, L. (2010). Nutrition knowledge, and use and understanding of nutrition information on food labels among consumers in the UK. Appetite, 55, 177-189.
47. Guthrie, J. F., Fox, J. J., Cleveland, L. E., & Welsh, S. (1995). Who uses nutritional labeling, and what effects does label use have on diet quality? Journal of Nutrition Education, 27, 163-172.
48. Guthrie, J., Mancino, L., & Lin, C. T. J. (2015). Nudging consumers' towards better food choices: Policy approaches to changing food consumption behaviors. Psychology & Marketing, 32(5).
49. Hale, T., & Taylor, S. (2011, January 13). The just in time consumer: How shopping trips align with economic woes (press release). Retrieved from http://www.nielsen.com/us/en/insights/news/2011/the-just-in-time-consumer-how-shopping-trips-align-with-economic-woes.html.
50. Haubl, G., & Trifts, V. (2000). Consumer decision making in online environments: The effects of interactive decision aids. Management Science, 19, 4-21.
51. Hodgkins, C., Barnett, J., Wasowicz-Kirylo, G., Stysko-Kunkowska, M., Gulcan, Y., Justepeli, Y., et al. (2012). Understanding how consumers categorise nutritional labels: A consumer derived typology for front-of-pack nutrition labelling. Appetite, 59, 806-817.
52. Hollywood, L. E., Cuskelly, G. J., O'Brien, M., McConnon, A., Barnett, J., Ratts, M. M. et al. (2013). Healthful grocery shopping. Perceptions and barriers. Appetite, 70, 119-126.
53. Howlett, E., Burton, S., Tangari, A. H., & Bui, M. (2012). Hold the salt! Effects of sodium information provision, sodium content, and hypertension information on perceived cardiovascular disease risk and purchase intentions. Journal of Public Policy and Marketing, 31, 4-18.
54. Huffman, C., & Kahn, B. E. (1998). Variety for sale: Mass customization or mass confusion? Journal of Retailing, 74, 491-513.
55. Johnson, D., & Lowe, B. (2015). Emotional support, perceived corporate ownership and scepticism toward out-groups in virtual communities. Journal of Interactive Marketing, 29, 1-10.
56. Kahneman, D., & Tversky, A. (1979). Prospect theory: An analysis of decision making under risk. Econometrica, 47, 263-291.
57. Kalnikaite, V., Bird, J., & Rogers, Y. (2013). Decision making in the aisles: Informing, overwhelming or nudging supermarket shoppers? Personal and Ubiquitous Computing, 17, 1247-1259.
58. Khan, U., & Dhar, R. (2007). Where there is a way, is there a will? The effect of future choices on self-control. Journal of Experimental Psychology: General, 136, 277-288.
59. Lowe, B., Souza-Monteiro, D. M., & Fraser, I. M. (2013). Nutritional labelling information: Utilisation of new technologies. Journal of Marketing Management, 29, 1337-1366.
60. Lowe, B., Lynch, D., & Lowe, J. (2014). The role and application of social marketing in managing water consumption: A case study. International Journal of Nonprofit and Voluntary Sector Marketing, 19, 14-26. doi:10.1002/nvsm.1484
61. Lowe, B., Fraser, I.M. & Souza-Monteiro, D. (2015). Changing food consumption behavior. Psychology & Marketing, 32(5).
62. Lowe, B., Lynch, D., & Lowe, J. (2015). Reducing household water consumption: A social marketing approach. Journal of Marketing Management, 31, 378-408. doi:10.1080/0267257X.2014.971044
63. Lynch, J. G., & Zauberman, G. (2006). When do you want it? Time, decisions and public policy. Journal of Public Policy and Marketing, 25, 67-78.
64. Mangleburg, T. F., Grewal, D., & Bristol, T. (1997). Socialization, gender and adolescent's self-reports of their generalized use of product labels. Journal of Public Policy & Marketing, 31(Winter), 255-279.
65. Mantzios, M., & Wilson, J. C. (2014). Exploring mindfulness and mindfulness with self-compassion-centered interventions to assist weight loss: Theoretical considerations and preliminary results of a randomized pilot study. Mindfulness, Published online, July 24, 2014.
66. McFerran, B., Dahl, D. W., Fitzsimons, & Morales, A. C. (2010). I'll have what she's having: Effects of social influence and body type on the food choices of others. Journal of Consumer Research, 36, 915-929.
67. Meuter, M. L., Ostrom, A. L., Roundtree, R. I., & Bitner, M. J. (2000). Self-service technologies: Understanding customer satisfaction with technology-based service encounters. Journal of Marketing, 64, 50-64.
68. Meuter, M. L., Bitner, M. J., Ostrom, A. L., & Brown, S. J. (2005). Choosing among alternative service delivery modes: An investigation of customer trial of self-service technologies. Journal of Marketing, 69(April), 61-83.
69. Mick, D. G., & Fournier, S. (1998). Paradoxes of technology: Consumer cognizance, emotions, and coping strategies. Journal of Consumer Research, 25 (September), 123-143.
70. Mishra, A., & Mishra, H. (2011). The influence of price discount versus bonus pack on the preference for virtue and vice foods. Journal of Marketing Research, 48, 196-206.
71. Murray, K. B., & Haubl, G. (2008). Interactive consumer decision aids. In B. Wierenga (Ed.), Handbook of marketing decision models (pp. 55-77). New York, NY: Springer Science + Business Media.
72. Nayga, R. M. (1996). Determinants of consumers' use of nutritional information on food packages. Journal of Agricultural and Applied Economics, 28, 303-312.
73. Ng, M., Fleming, T., Robinson, M., Thomson, B., Graetz, N., Margono, C., et al. (2014). Global, regional, and national prevalence of overweight and obesity in children and adults during 1980-2013: A systematic analysis for the Global Burden of Disease Study 2013. The Lancet, 384, 766-781.
74. Raghunathan, R., Walker-Naylor, R., & Hoyer, W. D. (2006). The unhealthy = tasty intuition and its effects on taste inferences, enjoyment, and choice of food products. Journal of Marketing, 70, 170-184.
75. Reid, M., Worsley, T., & Mavondo, F. (2015). The obesogenic household: Factors influencing dietary gatekeeper satisfaction with family diet. Psychology & Marketing, 32(5).
76. Rijsdijk, S. E., & Hultink, E. J. (2009). How today's consumers perceive tomorrow's smart products. Journal of Product Innovation Management, 26, 24-42.
77. Rogers, E. M. (1962). Diffusion of innovations. Glencoe: Free Press.
78. Rogers, E. M. (2003). Diffusion of innovations (5th ed.). New York: Free Press.
79. Salaün, Y., & Flores, K. (2001). Information quality: Meeting the needs of the consumer. International Journal of Information Management, 21(February), 21-37.
80. Scott, M. L., Nowlis, S. M., Mandel, N., & Morales, A. C. (2008). The effects of reduced food size and package size on the consumption behavior of restrained and unrestrained eaters. Journal of Consumer Research, 35, 391-405.
81. Scheibehenne, B., Miesler, L., & Todd, P. M. (2007). Fast and frugal choices: Uncovering individual decision heuristics. Appetite, 49, 578-589.
82. Schuldt, J. P., & Schwartz, N. (2010). The "organic" path to obesity? Organic claims influence calorie judgments and exercise recommendations. Judgment and Decision Making, 5, 144-150.
83. Shankar, V., Venkatesh, A., Hofacker, C., & Naik, P. (2010). Mobile marketing in the retail environment: Current insights and future research avenues. Journal of Interactive Marketing, 24, 111-120.
84. Sheth, J. N., Sethia, N. K., & Srinivas, S. (2011). Mindful consumption: A customer-centric approach to sustainability. Journal of the Academy of Marketing Science, 39, 21-39.
85. Shiv, B., & Fedorikhin, A. (1999). Heart and mind in conflict: The interplay of affect and cognition in consumer decision making. Journal of Consumer Research, 26, 278-292.
86. Simon, H. A. (1972). Theories of bounded rationality. In C. B. McGuire & R. Radner (Eds.), Decision and organization. Amsterdam: North-Holland Publishing Company.
87. Steckel, J. H., Winer, R. S., Bucklin, R. E., Dellaert, B. G. C., Drèze, X., Häubl, G., et al. (2005). Choice in interactive environments. Marketing Letters, 16, 309-320.
88. Steenhuis, I. H. M., & Vermeer, W. M. (2009). Portion size: Review and framework for interventions. International Journal of Behavioral Nutrition and Physical Activity, 6. http://www.ijbnpa.org/content/pdf/1479-5868-6-58.pdf.
89. Stewart-Knox, B., Kuznesof, S., Robinson, J., Rankin, A., Orr, K., Duffy, M. et al. (2013). Factors influencing uptake of personalized nutrition: Results of a qualitative analysis. Appetite, 66, 67-74.
90. Sundar, A., & Kardes, F. R. (2015). The role of perceived variability and the health halo effect in nutritional inference and consumption. Psychology & Marketing, 32(5).
91. Swinburn, B., Egger, G., & Raza, F. (1999). Dissecting obesogenic environments: The development and application of a framework for identifying and prioritizing environmental interventions for obesity. Preventive Medicine, 29, 563-570.
92. Tal, A., & Wansink, B. (2015). An apple a day brings more apples your way: Healthy samples prime healthier choices. Psychology & Marketing, 32(5).
93. Thaler, R. H. (1985). Mental accounting and consumer choice. Marketing Science, 4, 199-214.
94. Thomas, G. J., & Bond, D. S. (2014). Review of innovations in digital health technology to promote weight control. Current Diabetes Reports, 14, 1-10.
95. Thomas, M., Desai, K. K., & Seenivasan, S. (2011). How credit card payments increase unhealthy food purchases: Visceral regulation of vices. Journal of Consumer Research, 38, 126-139.
96. Tian, K., Sautter, P., Fisher, D., Fischbach, S., Luna-Nevarez, C., Boberg, K., et al. (2014). Therapeutic communities through technology-enhanced narratives. Journal of Consumer Research, 41, 237-260.
97. Todd, S., & Taylor, P. A. (1995). Understanding information technology usage: A test of competing models. Information Systems Research, 6, 144-176
98. Tornatzky, L. G., & Klein, K. J. (1982). Innovation characteristics and innovation adoption implementation: A meta-analysis of findings. IEEE Transactions on Engineering Management, 29, 28-43.
99. Trope, Y., & Liberman, N. (2010). Construal-level theory of psychological distance. Psychological Review, 117, 440-463.
100. Urban, L. E., Dallal, G. E., Robinson, L. M., Ausman L. M., Saltzman, E., & Roberts, S.B. (2010). The accuracy of stated energy contents of reduced-energy, commercially prepared foods. Journal of the American Dietetic Association, 110, 116-123.
101. Verbeke, W. (2005). Agriculture and the food industry in the information age. European Review of Agricultural Economics, 32, 347-368.
102. Viswanathan, M., Hastak, M., & Gau, R. (2009). Understanding and facilitating the usage of nutritional labels by low-literate consumers. Journal of Public Policy & Marketing, 28 (Fall), 131-145.
103. Wang, G., Fletcher, S. M., & Carley, D. H. (1995). Consumer utilization of food labeling as a source of nutrition information. Journal of Consumer Affairs, 29, 368-380.
104. Wansink, B. (2003). How do front and back package labels influence beliefs about health claims. Journal of Consumer Affairs, 37, 305-316.
105. Wansink, B. (2006). Mindless eating: Why we eat more than we think. London: Hay House.
106. Wansink, B. (2015). Change their choice! Changing behavior using the CAN approach and activism research. Psychology & Marketing, 32(5).
107. Wansink, B., & Chandon, P. (2006a). Meal size, not body size, explains errors in estimating the calorie content of meals. Annals of Internal Medicine, 145, 326-32.
108. Wansink, B., & Chandon, P. (2006b). Can "low-fat" nutrition labels lead to obesity? Journal of Marketing Research, 43, 605-617.
109. Wansink, B., & Huckabee, M. (2005). De-marketing obesity. California Management Review, 47, 6-18.
110. Wansink, B., vanIttersum, K., & Painter, J. E. (2006). Ice cream illusions: Bowls, spoons, and self-served portion sizes. American Journal of Preventive Medicine, 31, 240-243.
111. Wansink, B., Just, D. R., & Payne, C. R. (2009). Mindless eating and healthy heuristics for the irrational. American Economic Review: Papers and Proceedings, 99, 165-169.
112. Wertenbroch, K. (1998). Consumption self-control by rationing purchase quantities of virtue and vice. Marketing Science, 17, 317-337.
113. Wilcox, K., Vallen, B., Block, L., & Fitsimons, G. J. (2009). Vicarious goal fulfillment: When the mere presence of a healthy option leads to an ironically indulgent decision. Journal of Consumer Research, 36, 380-393.
114. Yang, H., Carmon, Z., Kahn, B., Malani, A., Schwartz, J., Volpp, K., et al. (2012). The hot-cold decision triangle: A framework for healthier choices. Marketing Letters, 23, 457-472.
115. Zhu, Z., Nakata, C., Sivakumar, K., & Grewal, D. (2007). Self-service technology effectiveness: The role of design features and individual traits. Journal of the Academy of Marketing Science, 35, 492-506.
116. Zikmund, W., Ward, S., Winzar, H., Lowe, B., & Babin B. (2014). Marketing research (3rd Asia-Pacific ed.). Melbourne: Cengage.
117. Zlatevska, N., Dubelaar, C., & Holden, S. S. (2014). Sizing up the effect of portion size on consumption: A meta-analytic review. Journal of Marketing, 78(May), 140-154.