Purpose
This study aims to investigate the factors that influence the sustainable online purchase intentions of consumers during the COVID-19 pandemic. This study also examines the role of relational benefit and site commitment in the study model.
Design/methodology/approach
Data were obtained from a survey of 356 Bangladeshi consumers who were voluntarily using the internet during the COVID-19 pandemic. Data were analyzed using partial least square structural equation modelling with Smart PLS 3.0 and SPSS V25 tools.
Findings
The results show a positive and significant relationship between consumers’ personal innovativeness and impulse purchase orientation with their relational benefit and site commitment, social influence with relational benefit, relational benefit with site commitment, site commitment with the intention to purchase. Moreover, the study found that relational benefit mediates the relationship between impulse purchase orientation and social influence with site commitment. The results also indicate that site commitment mediates the relationship between personal innovativeness and impulse purchase orientation with the intention to purchase. The results further indicate that site commitment mediates the relationship between relational benefit and intention to purchase.
Practical implications
The findings allow online stores to consider crucial factors in their policies when making strategic decisions regarding the factors impacting consumers’ online purchasing intention during the COVID-19 pandemic.
Originality/value
In this study, a research framework is developed with a focus on the sustainable consumer intention to purchase. This study, therefore, adds to the existing literature by analyzing the factors that determine online purchase intentions during the COVID-19 pandemic in Bangladesh, given the limited number of studies on the online consumer behavioral intentions in related circumstances to COVID-19.
This study focuses on the role of new blockchain technology in the green IoT ecosystem, highlights essential aspects for developing a green IoT ecosystem, and investigates how blockchain technology contributes to a greener IoT environment. Data from 360 Peruvian (Latin American) SME top managers (two informants from each of 180 SMEs) were quantitatively analyzed using Smart PLS 3.0 (SEM) and SPSS V25. The purpose of this study was to look into the direct impact of attitude, knowledge, and perceived ease of use on blockchain technology adoption for green energy usage. These three parameters' indirect effects on perceived feasibility were also evaluated. The investigations demonstrated a positive and significant association between blockchain technology adoption and perceived ease of use for green energy usage. There is no typical link between green energy usage attitudes and blockchain technology adoption. Furthermore, the data revealed that perceived feasibility mediates the impact between attitude and knowledge and blockchain technology adoption for green energy usage.
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