Journal of Retailing and Consumer Services, Journal Year: 2024, Volume and Issue: 84, P. 104201 - 104201
Published: Dec. 28, 2024
Language: Английский
Journal of Retailing and Consumer Services, Journal Year: 2024, Volume and Issue: 84, P. 104201 - 104201
Published: Dec. 28, 2024
Language: Английский
Journal of Retailing and Consumer Services, Journal Year: 2025, Volume and Issue: 85, P. 104266 - 104266
Published: March 6, 2025
Language: Английский
Citations
1PLoS ONE, Journal Year: 2025, Volume and Issue: 20(1), P. e0316277 - e0316277
Published: Jan. 3, 2025
E-commerce faces challenges such as content homogenization and high perceived risk among users. This paper aims to predict in different contexts by analyzing review website information. Based on a dataset containing 262,752 online reviews, we employ the KeyBERT-TextCNN model extract thematic features from content. Subsequently, combine these with product merchant characteristics. Using PCA-K-medoids-XGBoost algorithm, developed predictive for risk. In feature extraction phase, identified 11 key that influence shopping. During prediction performs excellently across sample types test set, achieving precision (P) of 84%, recall (R) 86%, an F1 score 85%. Through model’s interpretability analysis, find quality, functionality, price are affecting electronic products. case skincare products, skin safety is most critical feature. Additionally, there significant differences characteristics between high-risk samples normal samples.
Language: Английский
Citations
0Young Consumers Insight and Ideas for Responsible Marketers, Journal Year: 2025, Volume and Issue: 26(2), P. 247 - 269
Published: Jan. 6, 2025
Purpose This study examines the associations of a buyer’s online buying intentions, followed by shopping cart abandonment. The objective is to investigate determinants that trigger buyer for abandoning cart, despite consumers’ intent buy. aims examine factors leads consumer abandon intention purchase. Design/methodology/approach A cross-sectional data from 354 millennials was undertaken current study. These young consumers were identified conceptual model, which conceived using theories planned behavior, expectation disconfirmation, along with few seminal works behavior and psychology. Findings results show perceived risk be mediator abandonment, process satisfaction moderates association among two variables in presence risk. Research limitations/implications conducted sample Indian millennial consumers; hence, its findings may not generalizable. Originality/value concludes important implications both academicians e-tailers, could prove useful reducing cases abandonment carts, due which, e-tailers do tend lose out resulting thereby revenue loss.
Language: Английский
Citations
0International Journal of Consumer Studies, Journal Year: 2025, Volume and Issue: 49(3)
Published: April 22, 2025
ABSTRACT Online shopping cart abandonment (OSCA) rates are high and represent a potential loss of revenues for online vendors. In this context, work innovates by investigating whether how affect is related to OSCA. This follows the vast evidence on role in explaining consumer behavior. Moreover, drawing hierarchical model effect stable individual characteristics individuals' behavior attitudes, we propose that relationship between OSCA mediated (decisional online) procrastination. The aims study accomplished through an experimental (Study 1: N1 = 112), which manipulate emotions and, subsequently, measure their likelihood engaging second study, designed survey 2: N2 311) test procrastination results suggest that, compared individuals negative affect, those with higher levels positive less likely leave products carts 1). findings also while trait contributes decreasing decisional procrastination, linked increase as engage 2). Hence, delivers relevant contribution existing knowledge being first look at relate provides several managerial implications firms build more customer‐driven activities thereby, mitigate
Language: Английский
Citations
0Journal of Retailing and Consumer Services, Journal Year: 2024, Volume and Issue: 82, P. 104137 - 104137
Published: Oct. 31, 2024
Language: Английский
Citations
1Journal of Consumer Marketing, Journal Year: 2024, Volume and Issue: unknown
Published: Nov. 7, 2024
Purpose This paper aims to investigate the impact of perceived variety on consumers’ online shopping cart abandonment (OSCA). It also discerns how e-tail format (single- vs multi-brand), cognitive processing styles consumers (System 1 System 2) and device type (mobile laptop) influence asymmetrically. Design/methodology/approach Three studies were conducted. Data analysed using Hayes’ Process macro. Findings Perceived increases likelihood OSCA via mediation load. The consumer is likely experience a greater (lesser) load for multi-brand (single-brand) e-tailer. 1–oriented thinkers tend lesser load, thus diminishing effect compared individuals who rely 2 processing. Furthermore, decreases significantly when laptop used rather than mobile phone. Originality/value establishes linkages between choice overload literature demonstrate an excess may be detrimental e-retailers’ prospects asymmetries single-brand formats this effect.
Language: Английский
Citations
0Journal of Foodservice Business Research, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 28
Published: Dec. 22, 2024
Online shopping cart abandonment (OSCA) occurs when customers add items to an online but do not complete the purchase. This study identifies factors influencing OSCA in food delivery apps, a growing e-commerce challenge. Data from 437 respondents revealed that perceived inconvenience, cost, and product risk increase checkout hesitation, leading offline purchasing. Structural equation modeling (SEM) mediation analysis showed these indirectly affect through hesitation. Addressing risks inconvenience can reduce OSCA. The findings offer insights for marketers improve user satisfaction boost conversion rates services.
Language: Английский
Citations
0Journal of Retailing and Consumer Services, Journal Year: 2024, Volume and Issue: 84, P. 104201 - 104201
Published: Dec. 28, 2024
Language: Английский
Citations
0