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Consumer Behavior in Clothing Industry and Its Relationship with Open Innovation Dynamics during the COVID-19 Pandemic

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...

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Autores principales: Ong, Ardvin Kester S., Cleofas, Maria Arielle, Prasetyo, Yogi Tri, Chuenyindee, Thanatorn, Young, Michael Nayat, Diaz, John Francis T., Nadlifatin, Reny, Redi, Anak Agung Ngurah Perwira
Formato: Online Artículo Texto
Lenguaje:English
Publicado: the authors. Published by Elsevier Ltd 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9906731/
http://dx.doi.org/10.3390/joitmc7040211
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author Ong, Ardvin Kester S.
Cleofas, Maria Arielle
Prasetyo, Yogi Tri
Chuenyindee, Thanatorn
Young, Michael Nayat
Diaz, John Francis T.
Nadlifatin, Reny
Redi, Anak Agung Ngurah Perwira
author_facet Ong, Ardvin Kester S.
Cleofas, Maria Arielle
Prasetyo, Yogi Tri
Chuenyindee, Thanatorn
Young, Michael Nayat
Diaz, John Francis T.
Nadlifatin, Reny
Redi, Anak Agung Ngurah Perwira
author_sort Ong, Ardvin Kester S.
collection PubMed
description 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.
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spelling pubmed-99067312023-02-08 Consumer Behavior in Clothing Industry and Its Relationship with Open Innovation Dynamics during the COVID-19 Pandemic Ong, Ardvin Kester S. Cleofas, Maria Arielle Prasetyo, Yogi Tri Chuenyindee, Thanatorn Young, Michael Nayat Diaz, John Francis T. Nadlifatin, Reny Redi, Anak Agung Ngurah Perwira Journal of Open Innovation: Technology, Market, and Complexity Article 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. the authors. Published by Elsevier Ltd 2021-12 2022-12-31 /pmc/articles/PMC9906731/ http://dx.doi.org/10.3390/joitmc7040211 Text en © 2021 the authors. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Article
Ong, Ardvin Kester S.
Cleofas, Maria Arielle
Prasetyo, Yogi Tri
Chuenyindee, Thanatorn
Young, Michael Nayat
Diaz, John Francis T.
Nadlifatin, Reny
Redi, Anak Agung Ngurah Perwira
Consumer Behavior in Clothing Industry and Its Relationship with Open Innovation Dynamics during the COVID-19 Pandemic
title Consumer Behavior in Clothing Industry and Its Relationship with Open Innovation Dynamics during the COVID-19 Pandemic
title_full Consumer Behavior in Clothing Industry and Its Relationship with Open Innovation Dynamics during the COVID-19 Pandemic
title_fullStr Consumer Behavior in Clothing Industry and Its Relationship with Open Innovation Dynamics during the COVID-19 Pandemic
title_full_unstemmed Consumer Behavior in Clothing Industry and Its Relationship with Open Innovation Dynamics during the COVID-19 Pandemic
title_short Consumer Behavior in Clothing Industry and Its Relationship with Open Innovation Dynamics during the COVID-19 Pandemic
title_sort consumer behavior in clothing industry and its relationship with open innovation dynamics during the covid-19 pandemic
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9906731/
http://dx.doi.org/10.3390/joitmc7040211
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