The Determinants for Shopping Cart Abandonment

Purpose – The purpose of this paper is to analyze the determinant that leads to shopping cart abandonment. In this research determinant that writer use are perceived cost (PC), complicated checkout (CC), Entertainment Motivation (EM), Emotional Ambivalence (EA), Information Overload over the Product (IA). Design/methodology/approach – A quantitative study was conducted, using a sample of 117 respondent consist of men and women who have ever done shopping cart abandonement. The hypotheses were tested by applying the Smart-PLS 3.2 software. Findings – The findings Perceived Cost (PC) has a positive and insignificant effect on shopping cart abandonment, Complicated Checkout (CC) has a positive and insignificant effect on shopping cart abandonment, Entertainment Motivation (EM) has a positive and significant effect on shopping cart abandonment, Emotional ambivalence (EA) has a positive and insignificant effect on shopping cart abandonment, meanwhile Information Overload (IO) has a positive and insignificant effect on shopping cart abandonment. From all the variable tested that has the most significant influence on shopping cart abandonment comes from Entertainment Motivation (EM).

Empty the Shopping Cart? The Effect of Shopping Cart Item Sorting on Online Shopping Cart Abandonment Behavior

The vigorous development of e-commerce has led to online retailers or platforms increasing the capacity of online shopping carts. A large number of products are added to the online shopping cart, but they are not “emptied.” The resulting behavior of products being stuck in the shopping cart is called the “shopping cart abandonment behavior.” Previous literature has focused on the large number of antecedent variables that affect shopping cart abandonment behavior in the pre-decision stage of online shopping. This previous research has studied how to reduce shopping cart abandonment behavior from the perspective of consumers. By focusing on the post-decision-making stage of shopping, this research proposes to sort the products in a chronological order (ascending and descending order) after the products are added to the shopping cart and reduce shopping cart abandonment behavior through the intermediary of forgetfulness and choice overload. We use an exploratory study and two laboratory experiments to reveal the above intermediary mechanism. Our results show that online shopping cart abandonment generally occurs in shopping carts on all major platforms. Forgetting and shopping cart page rendering may be the reasons that lead to shopping cart abandonment behavior. In the case of targeted tasks, ascending order has a significant impact on abandonment behavior, choice overload mediated this effect.

Predicting online shopping cart abandonment with machine learning approaches

Excessive online shopping cart abandonment rates constitute a major challenge for e-commerce companies and can inhibit their success within their competitive environment. Simultaneously, the emergence of the Internet’s commercial usage results in steadily growing volumes of data about consumers’ online behavior. Thus, data-driven methods are needed to extract valuable knowledge from such big data to automatically identify online shopping cart abandoners. Hence, this contribution analyzes clickstream data of a leading German online retailer comprising 821,048 observations to predict such abandoners by proposing different machine learning approaches. Thereby, we provide methodological insights to gather a comprehensive understanding of the practicability of classification methods in the context of online shopping cart abandonment prediction: our findings indicate that gradient boosting with regularization outperforms the remaining models yielding an F1-Score of 0.8569 and an AUC value of 0.8182. Nevertheless, as gradient boosting tends to be computationally infeasible, a decision tree or boosted logistic regression may be suitable alternatives, balancing the trade-off between model complexity and prediction accuracy.

Online shopping cart abandonment: a consumer mindset perspective

Purpose While the popularity of online shopping has increased in recent years, surprisingly little research has examined the factors affecting consumers’ behavior in this context. Furthermore, though a widespread problem for companies, the phenomenon of online shopping cart abandonment has garnered even less attention. The purpose of this study is to examine the role of consumers’ mindsets in online shopping cart abandonment. Design/methodology/approach Three experimental studies were conducted to examine the effect of consumer mindsets (i.e. abstract vs concrete) on purchase intentions. Findings Results indicate that consumers who have an abstract (as opposed to concrete) mindset when shopping online rate the products they include in their shopping carts to be more important, and consequently are more likely to purchase them, reducing shopping cart abandonment. Practical implications The findings suggest that online retailers can reduce shopping cart abandonment by implementing strategies that allow consumers to think abstractly. Originality/value This research contributes to the literature by identifying an important underlying mechanism affecting online shopping cart abandonment.

Influence of Online Shopping Cart Abandonment: The Moderating Effect of Perceived Waiting Time

Purpose –This research explores the moderating impact of perceived waiting time with regard to the hedonic motivation and utilitarian motivation of the discarding online shopping cart without making any purchase. Research design, data, and methodology – The data was collected from the study respondents through online structured questionnaire. The study used the Hayes process to analyse the influence of perceived waiting time concerning online shopping cart abandonment. Results – This study demonstrates the most important association between hedonic motivation, utilitarian motivation and the rate of online shopping cart dropout. Conclusions- Results from this study reveals that the perceived waiting time between hedonic motivation, utilitarian motivation and frequency of cart abandonment has a moderating impact. The hedonic shoppers will not wait for registration and page uploads, even if they search online portals for entertainment purposes.