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An Augmented Risk Information Seeking Model: Perceived Food Safety Risk Related to Food Recalls

Liao, Chuanhui, Zhou, Xiaomei, Zhao, Dingtao·2018·International Journal of Environmental Research and Public Health

Abstract

Food safety is of worldwide concern. As an effective mechanism governing food safety, food recalls are widely applied around the world. Though it is well known that food recalls can have substantial, negative impacts on corporate reputation and marketing, we know relatively little related to what factors motivate people to seek related information after the recall announcement. This study attempts to elucidate the determinants of information-seeking intention in the context of food safety in food recalls by using an augmented risk information-seeking model. A survey of 631 Chinese residents was used to explore the proposed framework. The results show that current knowledge, risk perception, perceived channel beliefs, and perceived information-gathering capacity (PIGC) are all significant predictors of information need and information-seeking intention. It was also confirmed that risk perception has a positive correlation with seeking need. These findings are important for policymakers, recalling manufacturers, and retailers to develop strategies for better risk communication in food recall announcements.

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Figure 1 Research framework and research hypotheses (H1–H5) of consumers’ information seeking intention. PCB:Perceivedch annel beliefs; PIGC: Perceived information-gathering capacity. The “+” and “−” signs in brackets denote the direction of the influence.
Figure 1 Research framework and research hypotheses (H1–H5) of consumers’ information seeking intention. PCB:Perceivedch annel beliefs; PIGC: Perceived information-gathering capacity. The “+” and “−” signs in brackets denote the direction of the influence.CC BY · PubMed Central

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Research works printed but not linked: 60

  1. Zhao, 2013, The financial impact of product recall announcements in China, Int. J. Prod. Econ., 142, 115, 10.1016/j.ijpe.2012.10.018 · DOI
  2. Pozo, 2016, Evaluating the costs of meat and poultry recalls to food firms using stock returns, Food Policy, 59, 66, 10.1016/j.foodpol.2015.12.007 · DOI
  3. Xu, 2014, Study of traceability system impact on food recall cost based on food recall cost model, J. China Agric. Univ., 2, 035
  4. Wu, 2013, Public risk perception of food additives and food scares. The case in Suzhou, China, Appetite, 70, 90, 10.1016/j.appet.2013.06.091 · DOI
  5. Rozin, 1986, Psychological factors influencing food choice, Food Consum., 5, 85
  6. Griffin, 2008, After the flood: Anger, attribution, and the seeking of information, Sci. Commun., 29, 285, 10.1177/1075547007312309 · DOI · Paper page
  7. Kellens, 2012, The Informed Society: An analysis of the public’s information-seeking behavior regarding coastal flood risks, Risk Anal., 32, 1369, 10.1111/j.1539-6924.2011.01743.x · DOI · Paper page
  8. Kahlor, 2007, An augmented risk information seeking model: The case of global warming, Media Psychol., 10, 414, 10.1080/15213260701532971 · DOI
  9. Griffin, 2004, Information sufficiency and risk communication, Media Psychol., 6, 23, 10.1207/s1532785xmep0601_2 · DOI
  10. Patrick, 2007, Effectiveness of recall notification: Community response to a nationwide recall of hot dogs and deli meats, J. Food Prot., 70, 2373, 10.4315/0362-028X-70.10.2373 · DOI
  11. Steelfisher, 2010, Public perceptions of food recalls and production safety: Two surveys of the American public, J. Food Saf., 30, 848, 10.1111/j.1745-4565.2010.00246.x · DOI
  12. Fleming, 2006, Going beyond exposure to local news media: An information-processing examination of public perceptions of food safety, J. Health Commun., 11, 789, 10.1080/10810730600959705 · DOI
  13. Wilcock, 2004, Consumer attitudes, knowledge and behaviour: A review of food safety issues, Trends Food Sci. Technol., 15, 56, 10.1016/j.tifs.2003.08.004 · DOI · Paper page
  14. Vij, 2006, Recalls of spices due to bacterial contamination monitored by the US Food and Drug Administration: The predominance of Salmonellae, J. Food Prot., 69, 233, 10.4315/0362-028X-69.1.233 · DOI
  15. Qiang, 2011, Application of content analysis in food safety reports on the internet in China, Food Control, 22, 252, 10.1016/j.foodcont.2010.07.005 · DOI
  16. Li, R., Wu, H.L., Yin, S.J., and Chen, X.J. (2017). Introductiong to 2017 China Developmet Report on Food Safety, Pecking University Press.
  17. Wilson, 2000, Human information behavior, Inform. Sci., 3, 49
  18. Johnson, 1983, Affect, generalization, and the perception of risk, J. Personal. Soc. Psychol., 45, 20, 10.1037/0022-3514.45.1.20 · DOI
  19. Griffin, 2009, Risk information seeking among US and Dutch residents: An application of the model of risk information seeking and processing, Sci. Commun., 31, 215, 10.1177/1075547009332653 · DOI
  20. Yang, 2014, Risk information seeking and processing model: A meta-analysis, J. Commun., 64, 20, 10.1111/jcom.12071 · DOI
  21. Johnson, 1993, A comprehensive model of cancer-related information seeking applied to magazines, Hum. Commun. Res., 19, 343, 10.1111/j.1468-2958.1993.tb00305.x · DOI
  22. Freimuth, V.S., Stein, J.A., and Kean, T.J. (1989). Searching for Health Information: The Cancer Information Service Model, University of Pennsylvania Press. · DOI
  23. Radecki, 1995, Perceptions of knowledge, actual knowledge, and information search behavior, J. Exp. Soc. Psychol., 31, 107, 10.1006/jesp.1995.1006 · DOI
  24. Drichoutis, 2005, Nutrition knowledge and consumer use of nutritional food labels, Eur. Rev. Agric. Econ., 32, 93, 10.1093/erae/jbi003 · DOI
  25. Griffin, 1990, Energy in the eighties: Education, communication, and the knowledge gap, J. Q., 67, 554
  26. Yeung, 2001, Food safety risk: Consumer perception and purchase behaviour, Br. Food J., 103, 170, 10.1108/00070700110386728 · DOI
  27. Chen, 2007, The consumer’s attitude toward genetically modified foods in Taiwan, Food Qual. Prefer., 18, 662, 10.1016/j.foodqual.2006.10.002 · DOI
  28. Verdurme, 2003, Consumer beliefs and attitude towards genetically modified food: Basis for segmentation and implications for communication, Agribusiness, 19, 91, 10.1002/agr.10045 · DOI
  29. Baird, 1985, Toward a contingency model of strategic risk taking, Acad. Manag. Rev., 10, 230, 10.2307/257965 · DOI
  30. Bettman, J.R. (1973). Perceived risk and its components: A model and empirical test. J. Mark. Res., 184–190. · DOI
  31. Alaszewski, A. (2005). A person-centred approach to communicating risk. PLoS Med., 2. · DOI
  32. Huurne, 2008, Information needs and risk perception as predictors of risk information seeking, J. Risk Res., 11, 847, 10.1080/13669870701875750 · DOI · Paper page
  33. Feng, 2014, An empirical study of the toxic capsule crisis in China: Risk perceptions and behavioral responses, Risk Anal., 34, 698, 10.1111/risa.12099 · DOI
  34. Verbeke, 2005, Agriculture and the food industry in the information age, Eur. Rev. Agric. Econ., 32, 347, 10.1093/eurrag/jbi017 · DOI
  35. Rubin, A.M. (1986). Uses, gratifications, and media effects research. Perspect. Media Effic., 281–301. Available online: https://www.researchgate.net/profile/Thomas_Ruggiero/publication/233138016_Uses_and_Gratifications_Theory_in_the_21st_Century/links/5a119b03458515cc5aa98ba0/Uses-and-Gratifications-Theory-in-the-21st-Century.pdf.
  36. Kuttschreuter, 2014, Seeking information about food-related risks: The contribution of social media, Food Qual. Prefer., 37, 10, 10.1016/j.foodqual.2014.04.006 · DOI
  37. Erci, 2018, Reliability and validity of knowledge and behaviours related food additives scale, Adv. Nurs. Midwifery, 27, 8
  38. Gearhardt, 2009, Preliminary validation of the Yale food addiction scale, Appetite, 52, 430, 10.1016/j.appet.2008.12.003 · DOI · Paper page
  39. Chen, 2017, Modeling an extended theory of planned behavior model to predict intention to take precautions to avoid consuming food with additives, Food Qual. Prefer., 58, 24, 10.1016/j.foodqual.2017.01.002 · DOI
  40. Griffin, 2002, Linking the heuristic-systematic model and depth of processing, Commun. Res., 29, 705, 10.1177/009365002237833 · DOI
  41. Hill, 1997, Non-response bias in a lifestyle survey, J. Public Health, 19, 203, 10.1093/oxfordjournals.pubmed.a024610 · DOI
  42. Kamakura, W.A. (2010). Common methods bias. Wiley Int. Encycl. Mark. · DOI
  43. Schwarz, A., Schwarz, C., and Rizzuto, T. (2008, January 7–10). Examining the “Urban Legend” of Common Method Bias: Nine Common Errors and Their Impact. Proceedings of the 41st Annual Hawaii International Conference on System Sciences, Big Island, HI, USA. · DOI
  44. Harman, H.H. (1976). Modern Factor Analysis, University of Chicago Press.
  45. Petter, 2007, Specifying formative constructs in information systems research, MIS Q., 31, 623, 10.2307/25148814 · DOI · Paper page
  46. Barroso, C., Carrión, G.C., and Roldán, J.L. (2010). Applying maximum likelihood and PLS on different sample sizes: Studies on SERVQUAL model and employee behavior model. Handbook of Partial Least Squares, Springer. · DOI
  47. Anderson, 1988, Structural equation modeling in practice: A review and recommended two-step approach, Psychol. Bull., 103, 411, 10.1037/0033-2909.103.3.411 · DOI · Paper page
  48. Fornell, 1981, Evaluating structural equation models with unobservable variables and measurement error, J. Mark. Res., 18, 39, 10.1177/002224378101800104 · DOI · Paper page
  49. Baron, 1986, The moderator–mediator variable distinction in social psychological research: Conceptual, strategic, and statistical considerations, J. Personal. Soc. Psychol., 51, 1173, 10.1037/0022-3514.51.6.1173 · DOI · Paper page
  50. Hair, J.F., Hult, G.T.M., Ringle, C., and Sarstedt, M. (2016). A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM), Sage Publications.
  51. Tenenhaus, 2005, PLS path modeling, Comput. Stat. Data Anal., 48, 159, 10.1016/j.csda.2004.03.005 · DOI · Paper page
  52. Wetzels, 2009, Using PLS path modeling for assessing hierarchical construct models: Guidelines and empirical illustration, MIS Q., 33, 177, 10.2307/20650284 · DOI · Paper page
  53. Klerck, 2007, The effect of knowledge types on consumer-perceived risk and adoption of genetically modified foods, Psychol. Mark., 24, 171, 10.1002/mar.20157 · DOI
  54. He, 2014, Nuclear power in China after Fukushima: Understanding public knowledge, attitudes, and trust, J. Risk Res., 17, 435, 10.1080/13669877.2012.726251 · DOI
  55. Song, 2009, If it’s difficult to pronounce, it must be risky: Fluency, familiarity, and risk perception, Psychol. Sci., 20, 135, 10.1111/j.1467-9280.2009.02267.x · DOI
  56. Jepsen, 2007, Factors affecting consumer use of the Internet for information search, J. Int. Mark., 21, 21
  57. Brucks, 1985, The effects of product class knowledge on information search behavior, J. Consum. Res., 12, 1, 10.1086/209031 · DOI
  58. Yang, 2010, Motivation for health information seeking and processing about clinical trial enrollment, Health Commun., 25, 423, 10.1080/10410236.2010.483338 · DOI
  59. Yang, 2013, What, me worry? The role of affect in information seeking and avoidance, Sci. Commun., 35, 189, 10.1177/1075547012441873 · DOI · Paper page
  60. Carlson, 2012, Rethinking food recall communications for consumers, Iridescent, 2, 11, 10.1080/19235003.2012.11428511 · DOI

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Metadata

Authors
Liao, C., Zhou, X., & Zhao, D.
Affiliations
  • School of Economics and Management, Southwest University of Science and Technology, Mianyang 621010, China
  • School of Management, University of Science and Technology of China, Hefei 230026, China
Venue
International Journal of Environmental Research and Public Health
Publisher
MDPI AG
Published
2018-08-21
Volume
15
Issue
9
Pages
1800
ISSN
1660-4601
Cited by
31
References
6
Language
en
Funders
  • Annual Project of Soft Science of Sichuan Province (18RKX0993)
  • High level research team in Sichuan philosophy and Social Sciences (15ss0103)

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