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Determinants of online repurchase intention in COVID-19 times: Evidence from an emerging economy
Author(s) -
Aldo Álvarez-Risco,
Liliana Quipuzco-Chicata,
Carlos Escudero-Cipriani
Publication year - 2021
Publication title -
lecturas de economia/lecturas de economía
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.137
H-Index - 6
eISSN - 2323-0622
pISSN - 0120-2596
DOI - 10.17533/udea.le.n96a342638
Subject(s) - structural equation modeling , business , customer satisfaction , marketing , partial least squares regression , novelty , customer retention , service quality , psychology , advertising , service (business) , social psychology , statistics , mathematics
COVID-19 has led to social isolation and a subsequent increase in online shopping has been observed. The present study is based on theory of reasoned action and focused on 371 Peruvian consumers, it seeks to evaluate the current effect of the website quality, customer satisfaction, and customer trust in online repurchases. The current study is cross-sectional and uses an online survey with 22 questions that evaluated consumers repurchase intentions. A technical SEM-PLS analysis was used. It was found that website quality had a positive influence on customer satisfaction, website quality positively influenced customer trust, customer satisfaction had a positive influence on customer trust, customer satisfaction had a positive influence on online repurchase intention, and customer trust had a positive influence on online repurchase intention. The model explained 20.6% of online repurchase intention behavior. Outcomes of the bootstrapping test were used to evaluate if path coefficients are significant. The outcomes can help companies to develop strategic plans to increase online purchasing. The novelty is based on using the partial least squares structural equation modeling (SEM-PLS) technique. 

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