Extending the protection motivation theory model to predict public safe food choice behavioural intentions in Taiwan

被引:32
|
作者
Chen, Mei-Fang [1 ,2 ]
机构
[1] Tatung Univ, Dept Business Management, 40 Chung Shan N Rd,Sec 3, Taipei 104, Taiwan
[2] Natl Taiwan Univ, Inst Hlth Policy & Management, 17 Xu Zhou Rd, Taipei 100, Taiwan
关键词
Protection motivation theory (PMT); Food safety; Behavioural intention; Perceived food risk management quality (FRMQ); Perceived firm food safety liability; MAD-COW-DISEASE; RISK-MANAGEMENT; FEAR APPEALS; EXPERT ATTITUDES; TRUST; CONSUMER; PERCEPTIONS; METAANALYSIS; QUALITY; HEALTH;
D O I
10.1016/j.foodcont.2016.03.041
中图分类号
TS2 [食品工业];
学科分类号
0832 ;
摘要
This study examined whether the causal relationships of protection motivation theory (PMT) can be applied to explain and predict the public's behavioural intentions for safe food choice through protection motivation of health and well-being promotion in Taiwan. In addition, the public's perceived food risk management quality and perceived product safety liability of food providers involved in food safety scandals were considered in the PMT model. The results of structural equation modelling indicated that, compared with the original PMT model, the extended PMT model demonstrates higher explanatory and predictive power of a person's protection motivation to mitigate food safety problems, but lower explanatory and predictive power of a person's behavioural intentions to make safe food choices. The empirical results drawn from the extended PMT model revealed that in addition to perceived vulnerability regarding the threat of food safety scandals and perceived self-efficacy, a person's perceived product safety liability of food providers involved in food safety scandals is a significant predictor of his or her protection motivation, which subsequently influences his or her behavioural intentions regarding safe food choices. (c) 2016 Elsevier Ltd. All rights reserved.
引用
收藏
页码:145 / 152
页数:8
相关论文
共 18 条
  • [1] Moral extension of the protection motivation theory model to predict climate change mitigation behavioral intentions in Taiwan
    Mei-Fang Chen
    [J]. Environmental Science and Pollution Research, 2020, 27 : 13714 - 13725
  • [2] Moral extension of the protection motivation theory model to predict climate change mitigation behavioral intentions in Taiwan
    Chen, Mei-Fang
    [J]. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2020, 27 (12) : 13714 - 13725
  • [3] Applying Protection Motivation Theory to Predict Facebook Users' Withdrawal and Disclosure Intentions
    Meier, Yannic
    Schaewel, Johanna
    Kyewski, Elias
    Kraemer, Nicole C.
    [J]. 11TH INTERNATIONAL CONFERENCE ON SOCIAL MEDIA & SOCIETY (SMSOCIETY'), 2020, : 21 - 29
  • [4] USING PROTECTION MOTIVATION THEORY TO PREDICT INTENTIONS FOR BREAST MRI: INTERVENTION MECHANISMS FROM AN RCT
    Conley, Claire C.
    Wernli, Karen J.
    Knerr, Sarah
    Li, Tengfei
    Leppig, Kathleen
    Ehrlich, Kelly
    Farrell, David
    Bowles, Erin J.
    Graham, Amanda L.
    Luta, George
    Jayasekera, Jinani
    Mandelblatt, Jeanne S.
    Schwartz, Marc
    O'Neill, Suzanne C.
    [J]. ANNALS OF BEHAVIORAL MEDICINE, 2021, 55 : S500 - S500
  • [5] Applying protection motivation theory to understand international tourists' behavioural intentions under the threat of air pollution: A case of Beijing, China
    Ruan, Wenjia
    Kang, Sanghoon
    Song, HakJun
    [J]. CURRENT ISSUES IN TOURISM, 2020, 23 (16) : 2027 - 2041
  • [6] Using Protection Motivation Theory to Predict Intentions for Breast Cancer Risk Management: Intervention Mechanisms from a Randomized Controlled Trial
    Claire C. Conley
    Karen J. Wernli
    Sarah Knerr
    Tengfei Li
    Kathleen Leppig
    Kelly Ehrlich
    David Farrell
    Hongyuan Gao
    Erin J. A. Bowles
    Amanda L. Graham
    George Luta
    Jinani Jayasekera
    Jeanne S. Mandelblatt
    Marc D. Schwartz
    Suzanne C. O’Neill
    [J]. Journal of Cancer Education, 2023, 38 : 292 - 300
  • [7] Using Protection Motivation Theory to Predict Intentions for Breast Cancer Risk Management: Intervention Mechanisms from a Randomized Controlled Trial
    Conley, Claire C.
    Wernli, Karen J.
    Knerr, Sarah
    Li, Tengfei
    Leppig, Kathleen
    Ehrlich, Kelly
    Farrell, David
    Gao, Hongyuan
    Bowles, Erin J. A.
    Graham, Amanda L.
    Luta, George
    Jayasekera, Jinani
    Mandelblatt, Jeanne S.
    Schwartz, Marc D.
    O'Neill, Suzanne C.
    [J]. JOURNAL OF CANCER EDUCATION, 2023, 38 (01) : 292 - 300
  • [8] Consumers? intention to participate in food safety risk communication: A model integrating protection motivation theory and the theory of reasoned action
    Zhu, Ying
    Wen, Xiaowei
    Chu, May
    Sun, Sangluo
    [J]. FOOD CONTROL, 2022, 138
  • [9] Comparisons of Motivation to Receive COVID-19 Vaccination and Related Factors between Frontline Physicians and Nurses and the Public in Taiwan: Applying the Extended Protection Motivation Theory
    Lin, Yen-Ju
    Yen, Cheng-Fang
    Chang, Yu-Ping
    Wang, Peng-Wei
    [J]. VACCINES, 2021, 9 (05)
  • [10] Applying an extended protection motivation theory to predict Covid-19 vaccination intentions and uptake in 50-64 year olds in the UK
    Griffin, Bethany
    Conner, Mark
    Norman, Paul
    [J]. SOCIAL SCIENCE & MEDICINE, 2022, 298