The purpose of this study was to investigate the interactive effect of pandemic fear and weight gain on overweight and obese consumers’ decisions to purchase exercise apparel online based on the theory of planned behavior and body-related self-discrepancy theory. A sample of 515 male and female adults with BMIs of 25 and higher participated in this study. The effect of pandemic fear on the attitudes toward purchasing exercise apparel online was only positive for overweight and obese consumers who did not gain weight during pandemic. However, for those who gained weight during the pandemic, there was no significant effect of pandemic fear on the attitudes toward purchasing exercise apparel online. Attitudes, subjective norm, and perceived behavioral control were all significant predictors of intent to purchase exercise apparel online. This study extends the theory of planned behavior by adding the pandemic-related factors and provides practical implications for online retailers.
AjzenI. (1989). Attitude structure and behavior. In PratkanisA. R.BecklerS. J.GreenwaldA. G. (Eds.), Attitude structure and function (pp. 241–274). Psychology Press.
2.
AjzenI. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50(2), 179–211.
3.
AjzenI.MaddenT. J. (1986). Prediction of goal-directed behavior: Attitudes, intentions, and perceived behavioral control. Journal of Experimental Social Psychology, 22(5), 453–474.
4.
BessenoffG. R. (2006). Can the media affect us? Social comparison, self-discrepancy, and the thin ideal. Psychology of Women Quarterly, 30(3), 239–251.
5.
CawcuttK. A.StarlinR.RuppM. E. (2020). Fighting fear in healthcare workers during the COVID-19 pandemic. Infection Control & Hospital Epidemiology, 41(10), 1192–1193.
ChangM. K. (1998). Predicting unethical behavior: A comparison of the theory of reasoned action and the theory of planned behavior. Journal of Business Ethics, 17(16), 1825–1834.
10.
ChiT.GerardJ.DephillipsA.LiuH.SunJ. (2019). Why US consumers buy sustainable cotton made collegiate apparel? A study of the key determinants. Sustainability, 11(11), 3126.
11.
ChristelD. A. (2016). The efficacy of problem-based learning of plus-size design in the fashion curriculum. International Journal of Fashion Design, Technology and Education, 9(1), 1–8.
12.
ChristelD. A.O’DonnellN. H.BradleyL. A. (2016). Coping by crossdressing: An exploration of exercise clothing for obese heterosexual women. Fashion and Textiles, 3(1), 1–19.
13.
FitzmauriceJ. (2005). Incorporating consumers’ motivations into the theory of reasoned action. Psychology & Marketing, 22(11), 911–929.
14.
GeorgeJ. F. (2004). The theory of planned behavior and internet purchasing. Internet Research, 14(3), 198–212.
15.
GreenleafC.HauffC.KlosL.SerafinG. (2020). “Fat people exercise too!”: Perceptions and realities of shopping for women’s plus-size exercise apparel. Clothing and Textiles Research Journal, 38(2), 75–89.
16.
HairJ. F.BlackW. C.BabinB. J.AndersonR. E. (2010). Multivariate data analysis (7th ed.). Prentice Hall.
HayesA. F. (2015). An index and test of linear moderated mediation. Multivariate Behavioral Research, 50, 1–22.
19.
HigginsE. T. (1987). Self-discrepancy: A theory relating self and affect. Psychological Review, 94(3), 319–340.
20.
JungJ. E.NamY. J. (1999). A study on the degree of satisfaction of body cathexis and ideal body shape of 18 to 25 year-old women. Journal of the Korean Society of Clothing and Textiles, 23(1), 159–169.
KimH.DamhorstM. L. (2010). The relationship of body-related self-discrepancy to body dissatisfaction, apparel involvement, concerns with fit and size of garments, and purchase intentions in online apparel shopping. Clothing and Textiles Research Journal, 28(4), 239–254.
25.
KimH.KarpovaE. (2010). Consumer attitudes toward fashion counterfeits: Application of the theory of planned behavior. Clothing and Textiles Research Journal, 28(2), 79–94.
26.
KwokS.AdamS.HoJ. H.IqbalZ.TurkingtonP.RazviS.Le RouxC. W.SoranH.SyedA. A. (2020). Obesity: A critical risk factor in the COVID-19 pandemic. Clinical Obesity, 10(6), e12403.
27.
LaatoS.IslamA. N.FarooqA.DhirA. (2020). Unusual purchasing behavior during the early stages of the COVID-19 pandemic: The stimulus-organism-response approach. Journal of Retailing and Consumer Services, 57, 102224.
28.
LabatK. L.DelongM. R. (1990). Body cathexis and satisfaction with fit of apparel. Clothing and Textiles Research Journal, 8(2), 43–48.
29.
LarosF. J.SteenkampJ. B. E. (2005). Emotions in consumer behavior: a hierarchical approach. Journal of business Research, 58(10), 1437–1445.
30.
MaddenT. J.EllenP. S.AjzenI. (1992). A comparison of the theory of planned behavior and the theory of reasoned action. Personality and Social Psychology Bulletin, 18(1), 3–9.
31.
OtienoR.HarrowC.Lea-GreenwoodG. (2005). The unhappy shopper, a retail experience: Exploring fashion, fit and affordability. International Journal of Retail and Distribution Management, 33(4), 298–309.
32.
PantanoE.PizziG.ScarpiD.DennisC. (2020). Competing during a pandemic? Retailers’ ups and downs during the COVID-19 outbreak. Journal of Business Research, 116, 209–213.
33.
ParkH. S. (2000). Relationships among attitudes and subjective norms: Testing the theory of reasoned action across cultures. Communication Studies, 51(2), 162–175.
34.
PearlR. L.PuhlR. M.DovidioJ. F. (2015). Differential effects of weight bias experiences and internalization on exercise among women with overweight and obesity. Journal of Health Psychology, 20(12), 1626–1632.
35.
PearlR. L.WhiteM. A.GriloC. M. (2014). Weight bias internalization, depression, and self-reported health among overweight binge eating disorder patients. Obesity, 22(5), E142–E148.
36.
PreacherK. J.HayesA. F. (2008). The Sage sourcebook of advanced data analysis methods for communication research. Sage Publications, Inc.
37.
PrenticeC.ChenJ.StanticB. (2020). Timed intervention in COVID-19 and panic buying. Journal of Retailing and Consumer Services, 57, 102203.
38.
RogersC. R. (1951). Client-centered therapy. Houghton Mifflin.
39.
RosemanI. J. (1984). Cognitive determinants of emotion: A structural theory. Review of Personality & Social Psychology, 5, 11–36.
40.
ShimS. I.LeeY. (2011). Consumer’s perceived risk reduction by 3D virtual model. International Journal of Retail & Distribution Management, 39(12), 945–959.
TaylorS.ToddP. A. (1995). Understanding information technology usage: A test of competing models. Information Systems Research, 6(2), 144–176.
43.
TranL. T. T. (2021). Managing the effectiveness of e-commerce platforms in a pandemic. Journal of Retailing and Consumer Services, 58(January), 102287.
44.
VartanianL. R. (2012). Self-discrepancy theory and body image. Encyclopedia of Body Image and Human Appearance, 2(1), 711–717.
WitteK. (1992). Putting the fear back into fear appeals: The extended parallel process model. Communications Monographs, 59(4), 329–349.
47.
YanR. N.HyllegardK. H.BlaesiL. F. (2012). Marketing eco-fashion: The influence of brand name and message explicitness. Journal of Marketing Communications, 18(2), 151–168.
48.
ZacharyZ.BriannaF.BriannaL.GarrettP.JadeW.AlyssaD.MikaylaK. (2020). Self-quarantine and weight gain related risk factors during the covid-19 pandemic. Obesity Research & Clinical Practice, 14(3), 210–216.
49.
ZeelenbergM.NelissenR. M.BreugelmansS. M.PietersR. (2008). On emotion specificity in decision making: Why feeling is for doing. Judgment and Decision Making, 3(1), 18–27.
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