An analyses of the effect of using contextual and loyalty features on early purchase prediction of shoppers in e-commerce domain

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Abstract
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Online sales have been growing rapidly in recent years. With the growing competition, online retailers have been keen to increase the effectiveness of their e-commerce platforms by providing a more personalised experience and increasing the ”conversion rate” (i.e. the proportion of visits ending in sales). The early identification of those customers who are likely to buy items could significantly improve the ”conversion rate”. In this paper, we present a novel framework of early purchase prediction in online sessions for registered and unregistered consumers as soon as they land on an e-commerce platform. Also, the paper provides extensive analysis of the performance of different data mining models using the proposed framework. Computational experiments on real-world datasets show that the proposed framework produces good results when appropriate session features are selected in the data mining model training stage, even when no products are browsed during the session. Contextual features without navigational data in the sessions can be used for early detection. When users arrive at the e-commerce platform, before any item interaction, we are able to predict which sessions will result in purchases early, with a high accuracy of 90.2 %. When we combine users’ past number of visits and purchase data, the performance has an even a higher accuracy of 95.6 %. The findings in this paper provide an understanding of context features and users’ loyalty related features that can help online shops’ marketing strategies as well as delivering a better user experience through personalised offers and discounts based on users’ early purchase predictions.

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Implications of online social activities for e-tailers ' business performance
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  • European Journal of Marketing
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Purpose – Despite the growing popularity of internet based social media on e-commerce platforms, systematic examination of the emerging phenomenon is scarce. This paper aims to study whether online retailers ' social activity on e-commerce platforms improves their business performance, and if it does, what are the underlying mechanisms. Design/methodology/approach – The paper proposes a typology of online retailers ' social activities on e-commerce platforms. Then drawing on social capital theory and social network theory, the authors develop hypotheses that relate online retailers ' social activities to their business performance. The hypotheses are tested using a large dataset collected from an e-commerce platform in China. Findings – The paper shows that: online retailers ' social activities for friend-making improve their business performance, regardless of the directional attribute of the activities; social activities for advice-seeking decrease online retailers ' business performance; and social activities for advice-giving increase online retailers ' business performance. Research limitations/implications – The data in the empirical study are from an e-commerce platform in China, hence the research results may lack generalisability. Therefore, researchers are encouraged to test the proposed hypotheses further. Practical implications – The paper includes implications for e-commerce market makers and online retailers operating on e-commerce platforms. The authors show that online retailers ' social activities on e-commerce platforms can be an important source of business value. However certain types of social activities may hurt online retailers ' business performance, implying the necessity of a thoughtful social activity strategy in online marketplaces. Originality/value – This paper represents an early effort to study whether online retailers ' social activities on e-commerce platforms improve their business performance and the underlying mechanisms of the effect.

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Background and Aim: The rapid development of digital technology and the widespread use of the internet were emphasized, leading to a profound transformation in traditional consumer markets. Online shopping, as an emerging consumption method, has become a crucial component of modern society. E-commerce platforms, serving as key connection points between consumers and products, directly influence consumer shopping behavior, especially in terms of purchase intention. With the increasing number of online platform users and diverse service demands, traditional manual customer service faces numerous challenges, such as long response times, high costs, and inconsistent service quality. Therefore, text-based intelligent customer service systems, as an emerging solution, have gained growing attention. Based on the Technology Acceptance Model, Social Presence Theory, and Stimulus Organism Response, there is much research on the impact of intelligent customer service systems on user experience and satisfaction. Limited research exists on an in-depth exploration of how the systems specifically influence the consumer's purchasing decision-making process. This study investigates how text-based intelligent customer service systems influence consumer purchase intentions on e-commerce platforms. Materials and Methods: This research is a quantitative design using a questionnaire to collect data from the users of e-commerce platforms, aged 18 and above, who have had online shopping experiences in the past six months. The survey questionnaires were distributed offline to the target population. The study was conducted through the collection of raw data, utilizing a quantitative research approach. Descriptive statistics, such as percentages, frequencies, mean scores, and standard deviations of responses to Likert scale items, were employed to summarize and interpret the data. Furthermore, Structural Equation Modelling (SEM) was utilized to examine the relationships among variables, test the hypotheses, and analyze mediation effects. This methodological approach ensured a rigorous and comprehensive analysis of the data, providing robust insights into the research questions. Results: Perceived ease of use, perceived usefulness, social presence and positive emotional connection significantly and positively impact the purchase intention. Perceived trust and information quality have already played a mediating role in increasing purchase intention. Conclusion: By incorporating this perceived usefulness, perceived ease of use, social presence, positive emotional connection, perceived trust, and information quality-intelligent customer service designs can significantly improve consumer purchase intentions. This study offers valuable insights for the intelligent customer service design industry. This study has created a new theoretical framework and provided new marketing methods for e-commerce platforms, which can effectively promote the purchase intention.

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Growing Aspects of Cyber Security in E-Commerce
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The world is witnessing a transition from in-store shopping to online shopping. E-commerce (Electronic commerce) giants such as Amazon, Alibaba, eBay etc. are leading the way towards this change. Much technological advancement are being made to ease the life of mankind with online shopping being the most notable. E-commerce is known to be a powerful instrument for transformation of business that gives companies the opportunity to upgrade their supply chain operations, improve their network, as well as provide better services to both customers and suppliers. Applying the techniques of online shopping that yield such advantages may not be possible without the presence of a well-organized approach to E-commerce security. E-commerce organizations such as Amazon and Alibaba have also been using such techniques to ensure data protection. The most common of them all is the One Time Password (OTP), which is sent to a user when they make payments online for identity verification. On the other hand, Alibaba uses a unique Key Management System (KSM) which is a fully managed service that helps customers create, delete, and manage encryption keys to protect data. This system provides availability, reliability and elasticity alongside security and compliance. The paper also explore the importance of different security algorithms in Ecommerce domain.

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