TY - JOUR
T1 - Consumer behavior in clothing industry and its relationship with open innovation dynamics during the covid-19 pandemic
AU - Ong, Ardvin Kester S.
AU - Cleofas, Maria Arielle
AU - Prasetyo, Yogi Tri
AU - Chuenyindee, Thanatorn
AU - Young, Michael Nayat
AU - Diaz, John Francis T.
AU - Nadlifatin, Reny
AU - Redi, Anak Agung Ngurah Perwira
N1 - Publisher Copyright:
© 2021 by the authors. Licensee MDPI, Basel, Switzerland.
PY - 2021/12
Y1 - 2021/12
N2 - The fashion industry has been continuously growing over the years, yet it is an industry that was greatly affected by the COVID-19 pandemic. The purpose of the study was to determine the factors affecting buying behavior of Filipinos towards clothing apparel during the COVID-19 pandemic. There were 457 respondents who voluntarily participated and answered an online questionnaire. Structural equation modeling (SEM) indicated that marketing mix was found to have significant effects on attitude, subjective norm, and perceived behavioral control, which subsequently led to purchase intention. In addition, the COVID-19 latent variable was found to have significant effects on self-perceived severity and self-efficacy, which subsequently led to attitude and purchase intention. Interestingly, marketing mix was found to have the highest effect on actual purchase, which indicated that innovation dynamics are the keys for the buying behavior. The SEM construct can be applied to determine the clothing apparel buying behaviors of consumers in other countries, particularly during the COVID-19 pandemic. Finally, advertisements, promotions, sales, and health safety should be considered as innovation dynamics during the COVID-19 pandemic.
AB - The fashion industry has been continuously growing over the years, yet it is an industry that was greatly affected by the COVID-19 pandemic. The purpose of the study was to determine the factors affecting buying behavior of Filipinos towards clothing apparel during the COVID-19 pandemic. There were 457 respondents who voluntarily participated and answered an online questionnaire. Structural equation modeling (SEM) indicated that marketing mix was found to have significant effects on attitude, subjective norm, and perceived behavioral control, which subsequently led to purchase intention. In addition, the COVID-19 latent variable was found to have significant effects on self-perceived severity and self-efficacy, which subsequently led to attitude and purchase intention. Interestingly, marketing mix was found to have the highest effect on actual purchase, which indicated that innovation dynamics are the keys for the buying behavior. The SEM construct can be applied to determine the clothing apparel buying behaviors of consumers in other countries, particularly during the COVID-19 pandemic. Finally, advertisements, promotions, sales, and health safety should be considered as innovation dynamics during the COVID-19 pandemic.
KW - COVID-19 pandemic
KW - Consumer behavior
KW - Fashion industry
KW - Innovation dynamic
KW - Open innovation
KW - Protection motivation theory
KW - Theory of planned behavior
UR - http://www.scopus.com/inward/record.url?scp=85117322794&partnerID=8YFLogxK
U2 - 10.3390/joitmc7040211
DO - 10.3390/joitmc7040211
M3 - Article
AN - SCOPUS:85117322794
SN - 2199-8531
VL - 7
JO - Journal of Open Innovation: Technology, Market, and Complexity
JF - Journal of Open Innovation: Technology, Market, and Complexity
IS - 4
M1 - 211
ER -
