Attitudes toward genetically modified (GM) foods have been extensively studied, but there are very few studies of actual consumer purchasing behavior regarding GM foods offering a consumer benefit. Using a field choice-modeling experiment, the authors investigate the trade-off between price and social desirability in consumer choices with regard to conventional, organic, and GM fruit. What consumers say they will choose in a survey and what they actually choose in a real-purchase situation may differ substantially when their decision is framed by a socially charged issue such as genetic modification. The results are analyzed in relation to established principles of diffusion of innovation.
AdamowiczW.LouviereJ.WilliamsM. (1994). Combining revealed and stated preference methods for valuing environmental amenities. Journal of Environmental Economics and Management, 26, 271-292.
2.
AgrawalN.MaheswaranD. (2005). Motivated reasoning in outcome-bias effects. Journal of Consumer Research, 31, 798-805.
3.
AjzenI. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50, 179-211.
4.
ArtsJ. W.FrambachR. T.BijmoltT. H. (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.
BelkR. (1985). Issues in the intention-behaviour discrepancy. Research in Consumer Behaviour, 1, 1-34.
6.
BellowsA. C.AlcarazG.HallmanW. K. (2010). Gender and food: A study of attitudes in the USA towards organic, local, US grown, and GM-free foods. Appetite, 55, 540-550.
BergmanK. (2002). Dealing with consumer uncertainty: Public relations in the food sector. Berlin, Germany: Springer-Verlag.
9.
BraunV.ClarkeV. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3, 77-101.
10.
CastanoR.SujanM.KackerM.SujanH. (2008). Managing consumer uncertainty in the adoption of new products: Temporal distance and mental simulation. Journal of Marketing Research, 45, 320-336.
11.
ChenS.ShechterD.ChaikenS. (1996). Getting at the truth or getting along: Accuracy versus impression-motivated heuristic and systematic processing. Journal of Personality and Social Psychology, 71, 262-275.
12.
ChristophI. B.BruhnM.RoosenJ. (2008). Knowledge, attitudes towards, and acceptability of genetic modification in Germany. Appetite, 51, 58-68.
13.
ConnorM.SiegristM. (2010). Factors influencing people’s acceptance of gene technology: The role of knowledge, health expectations, naturalness, and social trust. Science Communication, 32, 514-538.
14.
de LiverY.van der PligtJ.WigboldusD. (2005). Unpacking attitudes towards genetically modified food. Appetite, 45, 242-249.
EvansG.KermarrecC.SableT.CoxD. (2010). Reliability and predictive validity of the food technology neophobia scale. Appetite, 54, 390-393.
18.
FederoffN.BrownN. (2004). Mendel in the kitchen: A scientist’s view of genetically modified foods. Washington DC: Joseph Henry Press.
19.
FischoffB.SlovicP.LichtensteinS. (1980). Knowing what you want: Measuring labile values. In WallstenT. S. (Ed.), Cognitive process in choice and decision behavior (pp. 117-142). Hillsdale, NJ: Erlbaum.
20.
FishbeinM.AjzenI. (1975). Belief, attitude, intention, and behavior: An introduction to theory and research. Reading, MA: Addison-Wesley.
FrewerL. J.HowardC.ShepherdR. (1995). Genetic engineering and food: What determines consumer acceptance?British Food Journal, 97(8), 31-36.
23.
FrewerL. J.ScholdererJ.BredahlL. (2003). Communicating about the risks and benefits of genetically modified foods: The mediating role of trust. Risk Analysis, 23, 117-133.
24.
GaskellG.AllansdottirA.AllumN.CorderoC.FischlerC.HampelJ.. . . WagnerW. (2006). Europeans and biotechnology in 2005: Patterns and trends (Euroba- rometer 64.3). Retrieved from http://www.goldenrice.org/PDFs/Eurobarometer_2005.pdf
25.
GaskellG.AllumN.BauerM.DurantJ.AllansdottirA.BonfadelliH.. . . WagnerW. (2000). Biotechnology and the European public. Nature Biotechnology, 18, 935-938.
GaskellG.AllumN.WagnerW.KronbergerN.TorgersenH.HamperJ.BardesJ. (2004). GM foods and the misperception of risk perception. Risk Analysis, 24, 185-194.
28.
GrunertK. G.Bech-LarsenT.LahteenmakiL.UelandO.AstromA. (2004). Attitudes towards the use of GMOs in food production and their impact on buying intention: The role of positive sensory experience. Agribusiness, 20, 95-107.
29.
HagemannK.ScholdererJ. (2006, May). Balancing the unknown: Consumer judgement of unfamiliar technologies. Paper presented at 35th annual conference of the European Marketing Academy, Athens, Greece.
30.
HagemannK.ScholdererJ. (2007). Consumer versus expert hazard identification: A mental models study of mutation-bred rice. Journal of Risk Research, 10, 449-464.
31.
HuberJ.PayneJ. W.PutoC. (1982). Adding asymmetrically dominated alternatives: Violations of regularity and the similarity hypothesis. Journal of Consumer Research, 9, 90-98.
32.
IrwinJ. R. (1999). Introduction to the special issue on ethical trade-offs in consumer decision making. Journal of Consumer Psychology, 8, 211-213.
KahnemanD.KnetschJ. L. (1992). Valuing public goods: The purchase of moral satisfaction. Journal of Environmental Economics and Management, 22, 57-70.
35.
KaspersonR.RennO.SlovicP.BrownH.EmelJ.GobleR.. . . RatickS. (1988). The social amplification of risk: A conceptual framework. Risk Analysis, 8, 177-187.
36.
KesslerC.EconomidisI. (2001). EC-sponsored research on safety of genetically modified organisms: A review of results. Luxembourg: Office for Official Publications of the European Communities.
37.
KnightJ.HoldsworthD.MatherD. (2008). GM food and neophobia: Connecting with the gatekeepers of consumer choice. Journal of the Science of Food and Agriculture, 88, 739-744.
38.
KnightJ.MatherD.HoldsworthD.ErmenD. (2007). Genetically modified food acceptance: an experiment in six countries. Nature Biotechnology, 25, 507-508.
39.
LarosF.SteenkampJ.-B. E. M. (2004). Importance of fear in the case of genetically modified food. Psychology & Marketing, 21, 889-908.
40.
LouviereJ.HensherD.SwaitJ. (2000). Stated preference modelling: Theory, methods and applications. Cambridge, England: Cambridge University Press.
41.
MakatouniA. (2002). What motivates consumers to buy organic food in the UK?British Food Journal, 104, 345-352.
MoonW.BalasubramanianS. (2003). Is there a market for genetically modified foods in Europe? Contingent valuation of GM and non-GM breakfast cereals in the United Kingdom. AgBioForum: Journal of Agrobiotechnology Management & Economics, 6(3), Article 6. Retrieved from http://www.agbioforum.org/v6n3/v6n3a06-moon.htm
44.
MorrisonD. G. (1979). Purchase intentions and purchase behavior. Journal of Marketing43, 65-74.
45.
MorwitzV. G.SteckelJ. H.GuptaA. (2007). When do purchase intentions predict sales?International Journal of Forecasting, 23, 347-364.
46.
MowenJ.CarlsonB. (2003). Exploring the antecedents and consumer behavior consequences of the trait of superstition. Psychology & Marketing, 20, 1045-1065.
47.
NemeroffC.RozinP. (1989). You are what you eat: Applying the demand-free “impressions” technique to an unacknowledged belief. Ethos, 17, 50-69.
48.
NoussairC.RobinS.RuffieuxB. (2004). Do consumers really refuse to buy genetically modified food?The Economic Journal, 114, 102-121.
49.
PaarlbergR. L. (2005). Let them eat precaution: Why GM crops are being over-regulated in the developing world. In EntineJ. (Ed.), Let them eat precaution: How politics is undermining the genetic revolution in agriculture (pp. 92-112). Washington, DC: AEI Press.
50.
PardoR.MiddenC.MillerJ. (2002). Attitudes toward biotechnology in the European Union. Journal of Biotechnology, 98, 9-24.
51.
PeattieK. (2001). Golden goose or wild goose? The hunt for the green consumer. Business Strategy and the Environment, 10, 187-199.
52.
PedersenE. R.NeergaardP. (2006). Caveat emptor: Let the buyer beware! Environmental labelling and the limits of “green” consumerism. Business Strategy and the Environment, 15, 15-29.
53.
PowellD.BlaineK.MorrisS.WilsonJ. (2003). Agronomic and consumer considerations for Bt and conventional sweet-corn. British Food Journal, 105, 700-714.
54.
RatnerR. K.KahnB. F. (2002). The impact of private versus public consumption on variety-seeking behavior. Journal of Consumer Research, 29, 246-257.
55.
RogersE. M. (1962). Diffusion of innovations (1st ed.). New York, NY: Free Press.
56.
RogersE. M. (2003). Diffusion of innovations (5th ed.). New York, NY: Free Press.
57.
RozinP.NemeroffC. (1990). The laws of sympathetic magic: A psychological analysis of similarity and contagion. In StiglerJ. W.ShwederR. A.HerdtG. (Eds.), Cultural psychology: Essays on comparative human development (pp. 205-232). Cambridge, England: Cambridge University Press.
58.
RozinP.SprancaM.KriegerZ.NeuhasR.SurilloD.SwerdlinA.WoodK. (2004). Preference for natural: Instrumental and ideational/moral motivations, and the contrast between foods and medicines. Appetite, 43, 147-154.
59.
RyanB.GrossN. C. (1943). The diffusion of hybrid seed corn in two Iowa communities. Rural Sociology, 8, 15-24.
60.
SaherM.LindemanM.Koivisto HurstiU.-K. (2006). Attitudes towards genetically modified and organic foods. Appetite, 46, 324-331.
61.
SeverinV.LouviereJ. J.FinnA. (2001). The stability of retail shopping choices over time and across countries. Journal of Retailing, 77, 185-202.
62.
ShaoJ.TuD. (1995). The jackknife and bootstrap. New York, NY: Springer-Verlag.
63.
SheppardB. H.HartwickJ.WarshawP. R. (1988). The theory of reasoned action: A meta-analysis of past research with recommendations for modifications and future research. Journal of Consumer Research, 15, 325-343.
64.
SiegristM.KellerC.KiersH. A. (2006). Lay people’s perception of food hazards: Comparing aggregated data and individual data. Appetite, 47, 324-332.
65.
SlovicP. (2000). The perception of risk. London, England: Earthscan.
66.
SlovicP.FinucaneM. L.PetersE.MacGregorD. G. (2004). Risk as analysis and risk as feelings: Some thoughts about affect, reason, risk, and rationality. Risk Analysis, 24, 311-322.
67.
StarrC. (1969). Social benefit versus technological risk. Science, 165, 1232-1238.
68.
SwaitJ.LouviereJ. J. (1993). The role of the scale parameter in the estimation and comparison of multinomial logit models. Journal of Marketing Research, 30, 305-314.
TenbultP.de VriesN. K.DreezensE.MartijnC. (2005). Perceived naturalness and acceptance of genetically modified food. Appetite, 45, 47-50.
71.
TownsendE.CampbellS. (2004). Psychological determinants of willingness to taste and purchase genetically modified food. Risk Analysis, 24, 1385-1393.
72.
TrewavasA. (2001). Urban myths of organic farming. Nature, 410, 409-410.
73.
TverskyA.KahnemanD. (1986). Rational choice and the framing of decisions. Journal of Business, 59(4Pt. 2), S251-S278.
74.
ValenteT. W.RogersE. M. (1995). The origins and development of the diffusion of innovations paradigm as an example of scientific growth. Science Communication, 16, 242-273.
75.
Van IttersumK.FeinbergF. M. (2010). Cumulative timed intent: A new predictive tool for technology adoption. Journal of Marketing Research, 47, 808-822.
76.
WoodS. L.MoreauC. P. (2006). From fear to loathing? How emotion influences the evaluation and early use of innovations. Journal of Marketing, 70, 44-57.
