Antecedents and consequences of satisfaction regarding apparel bought online during the COVID-19 pandemic

International Journal of Retail & Distribution Management, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 23, 2025

Purpose Although well documented for physical stores, consumer motives buying apparel online have been poorly investigated. Drawing on the social exchange theory (SET), authors tested a framework that relates time savings, effort savings and money to satisfaction, e-loyalty e-word-of-mouth (e-WOM). Design/methodology/approach A cross-sectional, web-based survey was conducted in Canada during coronavirus (COVID-19) pandemic. Data were collected from 247 participants who made clothing purchases analysed using partial least-squares structural equation modelling. The reliability validity of measurement model assessed, path coefficients estimated. Findings Money strong effect e-satisfaction, which turn determines e-WOM. Time also found influence whereas no influence. Finally, results indicate e-satisfaction competitively mediates relationship between both Originality/value Utilising SET, this study contributes deepening knowledge purchase context COVID-19 provide comprehensive view mechanisms through are strongest drivers customer loyalty e-WOM when clothes online.

Language: Английский

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Challenging body shaming with grading techniques in the fashion industry

Social Sciences & Humanities Open, Journal Year: 2025, Volume and Issue: 11, P. 101498 - 101498

Published: Jan. 1, 2025

Language: Английский

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Exploring consumer sentiments and opinions in wine E-commerce: A cross-country comparative study

Journal of Retailing and Consumer Services, Journal Year: 2024, Volume and Issue: 82, P. 104097 - 104097

Published: Sept. 30, 2024

Language: Английский

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Corporate innovation and performance: a textual measure based on securities analysts’ research reports

Technology Analysis and Strategic Management, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 15

Published: Oct. 17, 2024

The relationship between innovation investment and firm performance has been a central focus of academic research. Traditional metrics, such as patent counts R&D expenditures, are often criticised for their limited scope lack diversity. In contrast, analyst reports offer richer source information on activities. This study employs textual analysis to assess firms' efforts by examining research publicly listed companies. Using methods word segmentation, the constructs corporate indicators based LDA (Latent Dirichlet Allocation) topic model. Analyzing data from 2010 2021, empirically validates these new investigates impact performance. findings indicate that significantly enhances Compared traditional metrics like patents, developed here more comprehensive, offering broader measure addressing limitations conventional metrics. These results consistent across various robustness checks. Additionally, finds improves primarily increasing total factor productivity. Furthermore, strong governance amplifies positive

Language: Английский

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Reputation vs. price: Sequential recommendations based on cue diagnosticity theory

Journal of Retailing and Consumer Services, Journal Year: 2024, Volume and Issue: 83, P. 104157 - 104157

Published: Nov. 24, 2024

Language: Английский

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