Influence of scientific-technical literacy on consumers' behavioural intentions regarding new food

Appetite

Volumn 60, Issue 1, 2013, Pages 193-202

  Rodríguez Entrena, Macario ^a   Salazar Ordóñez, Melania ^b  

^a IFAPA CENTRO EL TORUÑO   (Spain)

^b UNIVERSIDAD LOYOLA ANDALUCÍA   (Spain)

Author keywords

Consumers' acceptance; Consumers' literacy fields; GM food; Partial Least Squares

Indexed keywords

ADULT; AGED; ARTICLE; CONSUMER ATTITUDE; FEMALE; GENETICALLY MODIFIED FOOD; HUMAN; INFORMATION LITERACY; MALE; OCCUPATION; PRODUCT SAFETY; SOCIAL STATUS; SPAIN; ADOLESCENT; ATTITUDE TO HEALTH; BEHAVIOR; CONSUMER; DECISION MAKING; FOOD PREFERENCE; MIDDLE AGED; PSYCHOLOGICAL ASPECT; RISK FACTOR; THEORETICAL MODEL;

ADOLESCENT; ADULT; CHOICE BEHAVIOR; CONSUMER PRODUCT SAFETY; CONSUMER SATISFACTION; FEMALE; FOOD PREFERENCES; FOOD, GENETICALLY MODIFIED; HEALTH KNOWLEDGE, ATTITUDES, PRACTICE; HUMANS; INTENTION; MALE; MIDDLE AGED; MODELS, THEORETICAL; RISK FACTORS; SPAIN; YOUNG ADULT;

EID: 84868674787     PISSN: 01956663     EISSN: 10958304     Source Type: Journal    
DOI: 10.1016/j.appet.2012.09.028     Document Type: Article

References (94)

1. Ajzen I. The theory of planned behavior. Organizational Behavior and Human Decision Processes 1991, 50:179-211.
2. Anderson J.C., Wachenheim C.J., Lesch W.C. Perceptions of genetically modified and organic foods and processes. AgBioForum 2006, 9:180-194.
3. Bagozzi R.P., Phillips L.W. Representing and testing organizational theories. A holistic construal. Administrative Science Quarterly 1982, 27:459-489.
4. Bagozzi R.P., Youjae I., Nassen K.D. Representation of measurement error in marketing variables: Review of approaches and extension to three-facet designs. Journal of Econometrics 1998, 89:393-421.
5. Baker G.A., Burnham T.A. The market for genetically modified foods. Consumer characteristics and policy implications. International Food and Agribusiness Management Review 2002, 4:351-360.
6. Barclay D., Higgins C., Thompson R. The partial least squares (PLS) approach to causal modelling. Personal computer adoption and use as an illustration. Technology Studies 1995, 2:285-309.
7. Baxter R. Reflective and formative metrics of relationship value. A commentary essay. Journal of Business Research 2009, 62:1370-1377.
8. Blalock H.M. Causal models in the social science 1971, Aldine-Atherton, Inc., Chicago.
9. Bredahl L. Consumers' cognitions with regard to genetically modified foods. Results of a qualitative study in four countries. Appetite 1999, 33:343-360.
10. Bredahl L. Determinants of consumer attitudes and purchase intentions with regard to genetically modified foods. Results of a cross-national survey. Journal of Consumer Policy 2001, 24:23-61.
11. Bredahl L., Grunert K., Frewer L. Consumer attitudes and decision-making with regard to genetically engineered food products. A review of the literature and a presentation of models for future research. Journal of Consumer Policy 1998, 21:251-277.
12. Brookes G., Craddock N., Kniel B. The global GM market. Implications for the European food chain 2005, PG Economics, Canterbury.
13. Cassel C.M., Hackl P., Westlund A.H. Robustness of partial least-squares method for estimating latent variable quality structures. Journal of Applied Statistics 1999, 26:435-446.
14. Chen M.F. An integrated research framework to understand consumer attitudes and purchase intentions toward genetically modified foods. British Food Journal 2008, 110:559-579.
15. Chen M.F., Li H.L. The consumer's attitude toward genetically modified foods in Taiwan. Food Quality and Preference 2007, 18:662-674.
16. Chin W.W. Issues and opinion on structural equation modeling. Management Information Systems Quarterly 1998, 22:7-15.
17. Chin, W. W. (2000). Frequently asked questions. Partial least squares & PLS-graph. <>. http://disc-nt.cba.uh.edu/chin/plsfaq.htm.
18. Chin W.W. How to write up and report PLS analyses. Handbook of partial least squares 2010, 655-690. Springer, Berlin. V. Esposito-Vinci, W.W. Chin, J. Henseler, H. Wang (Eds.).
19. Chin W.W., Marcolin B.L., Newsted P.R. A Partial Least Squares latent variable modelling approach for measuring interaction effects. Results from Monte Carlo simulation study and an electronic mail emotion/adoption study. Information Systems Research 2003, 14:189-217.
20. Chin W.W. The partial least squares approach for structural equation modeling. Modern methods for business research 1998, 295-336. Lawrence Erlbaum Associates Publishers, Mahwah, NJ. G.A. Marcoulides (Ed.).
21. Chin W.W., Newsted P.R. Structural equation modelling analysis with small samples using partial least squares. Statistical strategies for small sample research 1999, 307-341. Sage, Thousand Oaks, CA. R.H. Hoyle (Ed.).
22. Christoph I.B., Bruhn M., Roosen J. Knowledge, attitudes towards and acceptability of genetic modification in Germany. Appetite 2008, 51:58-68.
23. CIS Opiniones y actitudes de los españoles hacia la biotecnología 2001, Centro de Investigaciones Sociológicas, Madrid.
24. Costa-Font M., Gil J.M. Structural equation modelling of consumer acceptance of genetically modified (GM) food in the Mediterranean Europe. A cross country study. Food Quality and Preference 2009, 20:399-409.
25. Costa-Font M., Gil J.M., Traill W.B. Consumer acceptance, valuation of and attitudes towards genetically modified food. Review and implications for food policy. Food Policy 2008, 33:99-111.
26. Cuite C.L., Aquino H.L., Hallman W.K. An empirical investigation of the role of knowledge in public opinion about GM food. International Journal of Biotechnology 2005, 7:178-194.
27. Curtis K.R., McCluskey J.J., Wahl T.I. Consumer acceptance of genetically modified food products in the developing world. AgBioForum 2004, 7:70-75.
28. Curtis K.R., Moeltner K. Genetically modified food market participation and consumer risk perceptions. A cross-country comparison. Canadian Journal of Agricultural Economics 2006, 54:289-310.
29. Diamantopoulos A., Winklhofer H.M. Index construction with formative indicators. An alternative to scale development. Journal of Marketing Research 2001, 38:269-277.
30. Earle T.C., Cvetkovich G.T. Social trust: toward a cosmopolitan society 2007, Praeger, Westpport, CT.
31. European Commission European Governance. A white paper. COM (2001) 428 final 2001, European Commission, Brussels.
32. Falk R.F., Miller N.B. A primer for soft modelling 1992, University of Akron, Akron, Ohio.
33. Fishbein M. An investigation of the relationship between beliefs about an object and the attitude toward that object. Human Relations 1963, 16:233-239.
34. Fishbein M., Ajzen I. Belief, attitude, intention and behavior. An introduction to theory and research 1975, Addison-Wesley, Massachusetts.
35. Fisher R.J., Grégoire Y. Gender differences in decision satisfaction within established dyads. Effects of competitive and cooperative behaviors. Psychology and Marketing 2006, 23:313-333.
36. Fornell C. A second generation of multivariate analysis. An overview. A second generation of multivariate analysis 1982, Vol. 1:1-21. Praeger, New York.
37. Fornell C., Bookstein F.L. Two structural equation models. LISREL and PLS applied to consumer exit-voice theory. Journal of Marketing Research 1982, 19:440-452.
38. Fornell C., Larcker D.F. Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research 1981, 18:39-50.
39. Fortin D.R., Renton M.S. Consumer acceptance of genetically modified foods in New Zealand. British Food Journal 2003, 105:42-58.
40. Frewer L.J., Howard C., Shepherd R. Genetic engineering and food. What determines consumer acceptance?. British Food Journal 1995, 97:31-36.
41. Frewer L.J., Howard C., Shepherd R. Public concerns in the United Kingdom about general and specific applications of genetic engineering. Risk, benefit, and ethics. Science, Technology, and Human Values 1997, 22:98-124.
42. Frewer L.J., Scholderer J., Downs C., Bredahl L. Communicating about the risks and benefits of genetically modified foods. Effects of different information strategies. MAPP working papers 2000, University of Aarhus, The MAPP Centre, Aarhus.
43. Ganiere P., Chern W.S., Hahn D. A continuum of consumer attitudes toward Genetically Modified Foods in the United States. Journal of Agricultural and Resource Economics 2006, 31:129-149.
44. Gaskell G., Allansdottir A., Allum N., Corchero C., Fischler C., Hampel J., et al. Europeans and biotechnology in 2005. Patterns and trends 2006, European Commission, Brussels.
45. Gaskell G., Allum N., Wagner W., Kronberger N., Torgersen H., Hampel J., et al. GM foods and the misperception of risk perception. Risk Analysis 2004, 24:185-194.
46. Gaskell G., Brauer M., Durant J., Allum N. Worlds apart? The reception of genetically modified foods in Europe and the US. Science 1999, 285:384-387.
47. Gaskell G., Stares S., Allansdottir A., Allum N., Castro P., Esmer Y., et al. Europeans and biotechnology in 2010. Winds of change? 2010, European Commission, Brussels.
48. Grunert K.G., Lähteenmäki L., Asger Nielsen N., Poulsen J.B., Ueland O., Åström A. Consumer perceptions of food products involving genetic modification. Results from a qualitative study in four Nordic countries. Food Quality and Preference 2001, 12:527-542.
49. Hair J.F., Anderson R.E., Tathan R.L. Multivariate data analysis with readings 1992, MacMillan, New York.
50. Hair J.F., Ringle C.M., Sarstedt M. PLS-SEM. Indeed a silver bullet. Journal of Marketing Theory and Practice 2011, 19:139-151.
51. Hall C., Moran D. Investigating GM risk perceptions. A survey of anti-GM and environmental campaign group members. Journal of Rural Studies 2006, 22:29-37.
52. Han J.H. The effects of perceptions on consumer acceptance of genetically modified (GM) foods 2006, Louisiana State University, Louisiana.
53. Honkanen P., Verplanken B. Understanding attitudes towards genetically modified food. The role of values and attitude strength. Journal of Consumer Policy 2004, 27:401-420.
54. Hossain F., Onyango B. Product attributes and consumer acceptance of nutritionally enhanced genetically modified foods. International Journal of Consumer Studies 2004, 28:255-267.
55. Hossain F., Onyango B., Schilling B., Hallman W., Adelaja A. Product attributes, consumer benefits and public approval of genetically modified foods. International Journal of Consumer Studies 2003, 27:353-365.
56. House L., Lusk J., Jaeger S., Traill W.B., Moore M., Valli C., et al. Objective and subjective knowledge. Impacts on consumer demand for genetically modified foods in the United States and the European Union. AgBioForum 2004, 7:113-123.
57. Hu W., Hunnemeyer A., Veeman M., Adamowicz W., Srivastava L. Trading off health, environmental and genetic modification attributes in food. European Review of Agricultural Economics 2004, 31:389.
58. INE Demography and population 2008, National Statistic Institute, Madrid.
59. James C. Global status of commercialized biotech/GM crops: 2010 2010, International Service for the Acquisition of Agri-Biotech Applications, New York.
60. Kim R. Factors influencing Chinese consumer behavior when buying innovative food products. Agricultural Economics (Zeme de lská Ekonomika) 2009, 55:436-445.
61. Kim R. A multi-attribute model of Japanese consumer's purchase intention for GM foods. Agricultural Economics (Zeme de lská Ekonomika) 2010, 56:449-459.
62. Lähteenmäki L., Grunert K., Ueland O., Aström A., Arvola A., Bech-Larsen T. Acceptability of genetically modified cheese presented as real product alternative. Food Quality and Preference 2002, 13:523-533.
63. Lusk J.L., House L.O., Valli C., Jaeger S.R., Moore M., Morrow J.L., et al. Effect of information about benefits of biotechnology on consumer acceptance of genetically modified food. Evidence from experimental auctions in the United States, England, and France. European Review of Agricultural Economics 2004, 31:179-204.
64. MacFie H. Consumer-led food product development 2007, Woodhead, Cambridge.
65. MARM Superficie en hectáreas de variedades de maíz GM que se encuentran incluidas en el registro de variedades comerciales 2010, Ministerio de Medioambiente y Medio Rural y Marino, Madrid.
66. Martínez-Poveda A., Molla-Bauza M.B., Del Campo Gomis F.J., Martínez-Carrasco Martínez L. Consumer-perceived risk model for the introduction of genetically modified food in Spain. Food Policy 2009, 34:519-528.
67. Moerbeek H., Casimir G. Gender differences in consumers' acceptance of genetically modified foods. International Journal of Consumer Studies 2005, 29:308-318.
68. National Science Foundation Science and engineering indicators 2000, NSB, Arlington.
69. Noomene R., Gil Roig J.M. El consumidor español y los alimentos modificados genéticamente. ITEA: Información Técnica Económica Agraria 2007, 103:127-155.
70. Onyango B. Consumer acceptance of genetically modified foods. The role of product benefits and perceived risks. Journal of Food Distribution Research 2004, 35:154-161.
71. Onyango B., Hossain F., Hallman W., Schilling B., Adelaja A. Public perception of food biotechnology. Uncovering factors driving consumer acceptance of genetically modified food. Journal of Food Distribution Research 2003, 34:36-42.
72. Papatryfon I., Zika E., Wolf O., Gómez-Barbero M., Stein A.J., Bock A.K. Consequences, opportunities and challenges of modern biotechnology in Europe 2007, Institute for Prospective Technological Studies, Luxemburgo.
73. Priest S.H. US public opinion divided over biotechnology?. Nature Biotechnology 2000, 18:939-942.
74. Qureshi I., Compeau D. Assessing between groups differences in IS research. A comparison of covariance and component based SEM. MIS Quarterly 2009, 33:197-214.
75. Reinartz W., Haenlein M., Henseler J. An empirical comparison of the efficacy of covariance-based and variance-based SEM. International Journal of Research in Marketing 2009, 26:332-344.
76. Sánchez-Franco M.J., Roldán J.L. Variance-based Structural Equation Modeling. Guidelines for using Partial Least Squares in information system research. Research methodologies, innovations and philosophies in software systems engineering and information systems 2012, 193-221. IGI Global, Hershey. M. Mora, O. Gelman, A. Steenkamp, M.S. Raisinghani (Eds.).
77. Saher M., Lindeman M., Koivisto-Hursti U.K. Attitudes towards genetically modified and organic foods. Appetite 2006, 46:324-331.
78. Sánchez M., Barrena R. El consumidor ante los alimentos de nueva generación. Alimentos funcionales y alimentos transgénicos. Revista Española de Estudios Agrosociales y Pesqueros 2004, 204:95-128.
79. Sánchez-Franco M.J., Roldán J.L. Web acceptance and usage model. A comparison between goal-directed and experiential web users. Internet Research 2005, 15:21-48.
80. Scully J. Genetic engineering and perceived levels of risk. British Food Journal 2003, 105:59-77.
81. Siegrist M. A causal model explaining the perception and acceptance of gene technology. Journal of Applied Social Psychology 1999, 29:2093-2106.
82. Siegrist M. The influence of trust and perceptions of risks and benefits on the acceptance of gene technology. Risk Analysis 2000, 20:195-204.
83. Siegrist M. Factors influencing public acceptance of innovative food technologies and products. Trends in Food Science & Technology 2008, 19:603-608.
84. Tenenhaus M., Pagès J., Ambroisine L., Guinot C. PLS methodology for studying relationships between hedonic judgements and product characteristics. Food Quality and Preference 2005, 16:315-325.
85. Traill W.B., Jaeger S.R., Yee W.M.S., Valli C., House L.O., Lusk J.L., et al. Categories of GM risk-benefit perceptions and their antecedents. AgBioForum 2004, 7:176-186.
86. Traill B., Yee W., Lusk J., Jaeger S., House L., Morrow J., et al. Perceptions of the risks and benefits of genetically-modified foods and their influence on willingness to consume. Acta Agriculturae Scandinavica, Section C - Economy 2006, 3:12-19.
87. UNESCO International standard classification of education 1997, United Nations Educational, Scientific and Cultural Organization, Paris.
88. Vanwechel, T., Wachenheim, C. J., Schuck, E., & Lambert, D. K. (2003). Consumer valuation of genetically modified foods and the effect of information bias. In Agribusiness and applied economics report no. 513. Dakota: North Dakota State University.
89. Veeman M., Adamowicz W. Genetically modified foods. Consumers' attitudes and labeling issues. Project report series 2004, University of Alberta, Edmonton.
90. Verdurme A., Viaene J. Consumer attitudes towards GM food. Literature review and recommendations for effective communication. Journal of International Food and Agribusiness Marketing 2001, 13:77-98.
91. Verdurme A., Viaene J. Consumer beliefs and attitude towards genetically modified food. Basis for segmentation and implications for communication. Agribusiness 2003, 19:91-113.
92. Vilella-Vila M., Costa-Font J., Mossialos E. Consumer involvement and acceptance of biotechnology in the European Union. A specific focus on Spain and the UK. International Journal of Consumer Studies 2005, 29:108-118.
93. Wold H. Estimation and evaluation of models where theoretical knowledge is scarce. An example of partial least squares. Evaluation of econometric models 1979, Academic Press, New York. J. Ramsey, J. Kmenta (Eds.).
94. Wold, H. (1985). Systems analysis by partial least squares. In P. Nijkamp, H. Leitner, & N. Wrigley (Eds.), Measuring the unmeasurable (pp. 221-252). Dordrecht, the Netherlands: Martinus Nijhoff.