Hasil untuk "Commerce"

Anol Bhattacherjee

Zhiyong Liu, Zipei Li

Abstract Blockchain technology provides us a new tool to solve the product traceability problem in supply chain management. This research focuses on the cross-border e-commerce context, to propose a blockchain-based framework, and develop a set of corresponding techniques and methods for achieving traceable products and transactions in supply chain management. A general blockchain-based product traceability framework is introduced. This framework is based on a cross-border e-commerce supply chain context, incorporating a series of blockchain-based models, including multi-chain structure model, data management model and block structure model. Several core methods and algorithms are also developed, such as information anchoring method, key distribution method, information encryption algorithm and anti-counterfeiting method. The framework, models and methods form a complete and comprehensive solution, which are evaluated by applying to several typical problems and attack cases. The case analysis results show that the framework, models and methods can successfully deal with key recover problem, and protect against clone attack, counterfeit tag attack and counterfeit product attack. The effectiveness, extendibility, security, implementation and governance issues of applying these solutions are also discussed. This research contributes to the theoretical and practical literatures on blockchain technology, cross-border e-commerce and supply chain management research fields.

Mina Tajvidi, M. Richard, Yichuan Wang et al.

Abstract Consumers are empowered to exert influence on brands through social networking sites (SNSs), which make it possible for consumers to become active content creators in their relationship with firms. To further understand brand value co-creation, we use the socio-technical theory to build a model of brand co-creation with key antecedents−social commerce information sharing, social support, and relationship quality, with privacy concerns as a moderator. Through an empirical study, we found that social commerce information sharing, social support and relationship quality positively affect brand co-creation directly/indirectly and privacy concerns moderate the effects of social commerce information sharing on brand co-creation. This article contributes to the literature on the value co-creation paradigm and social commerce by: 1) developing the concept of brand co-creation in social commerce; 2) explaining how consumers engage in online brand co-creation activities; 3) arguing that privacy concerns may hamper the effects of brand co-creation. Our study provides an innovative approach to brand management practices in today's marketplace.

Sílvia Escursell, Pere Llorach-Massana, M. B. Roncero

Online purchasing, and hence e-commerce packaging production and use, have grown steadily in recent years, and so has their environmental impact as a result. This paper reviews the evolution of packaging over the last century through a compilation of scientific literature on e-commerce packaging focusing on its environmental side. The primary aims were to identify research gaps in e-commerce packaging and to propose new research lines aimed at reducing its environmental impact. A systematic search of abstracts was conducted to identify articles dealing with sustainability in e-commerce packaging in order to better understand changes in materials and formats, identify problems such as oversizing and allow prospective readers to become acquainted with the latest innovations in materials, sustainability and logistics. Based on existing research, packaging materials and technology evolved rapidly until the 1990s. Later, however, it has become increasingly difficult to further reduce their cost and environmental impact. Also, some packaging products continue to be made from non-renewable materials and thus restrict growth of e-commerce. Further research is needed with a view to producing new packages from renewable sources such as cellulose-containing materials, which are widely available in nature, or from recycled cellulose-based materials such as cartonboard. Improving distribution processes with new, more effective tools could additionally help alleviate the environmental impact of packaging. Similarly, new production processes such as additive manufacturing and 3D printing might help optimize package volume and shape, thereby facilitating more sustainable production through, for example, reduced CO2 emissions. Currently available technology can be useful to rethink the whole e-commerce packaging paradigm, which has changed very little over the past few decades.

Prasanta Kr. Chopdar, Janarthanan Balakrishnan

Abstract The paramount importance for mobile retailers, expecting higher sales and cost savings is customer retention. Though previous studies have explored various nuances of customer behaviour towards mobile commerce applications, this study majorly aims to understand the drivers of repurchase intention and satisfying experience in an m-commerce shopping environment. The study follows the stimulus-organism-response (S-O-R) theoretical approach. A cross-sectional design was adopted for this study involving data from 420 regular mobile shoppers in India through a non-probabilistic sampling procedure. The collected data were later analysed using structural equation modeling. The results indicate perceived ubiquity and m-commerce app incentives as two strongest predictors of impulsiveness and perceived value respectively. It was further observed that impulsiveness negatively affects consumers repurchase intention but positively enhances the satisfying experience, whereas perceived value favourably affects both the variable. The study contributes in various ways; first, a holistic model using the S-O-R framework is a new addition in literature ground; second, the extra focus on the construct satisfying experience will give a larger understanding to optimise the m-commerce applications efficiently. Moreover, the study also presents managerial implications for practitioners working in areas related to m-commerce.

J. F. Rayport, Bernard J. Jaworski

The chapter outlines the importance of being connected over the internet and the opportunities the world wide web (WWW) offers to the foodservice industry. Restaurants, bars, and catering companies can significantly benefit from the exposure a website gives them internationally 24/7/365. Today's business landscape is far more connected worldwide than ever before. Not having a presence on the internet with a website and or an e-commerce business means being left out without exposure and without the possibility of expanding the business. The questions a foodservice operator should ask are not about the need for the internet and a website, but rather how much should be invested in it. Millions of businesses like restaurants worldwide have benefited from their website and presence on the WWW. The opportunities to increase revenue and compete against others have never been greater, from online table reservation systems to selling recipe books and merchandise.

S. Molinillo, Rafael Anaya‐Sánchez, F. Liébana-Cabanillas

Abstract While research into customer engagement receives much attention, few studies have examined why consumers engage in social commerce and the resulting consequences for companies. This study explores the influence of social support and community factors on customer engagement and the subsequent effects on customer loyalty toward social commerce websites. We propose a model to investigate the differences between the influence of social support and three community factors (community drivenness, community identification and community trust) on customer engagement, and the impact of customer engagement on four customer loyalty dimensions, one transactional (repurchase intention) and three non-transactional (willingness to co-create, stickiness intention and positive eWOM intention). We conducted a survey and collected data from 437 users of Facebook social commerce websites. The findings show that customer engagement is a key predictor of the four dimensions of customer loyalty toward social commerce websites. In addition, the results indicate that social support and two community factors significantly affect customer engagement. We discuss theoretical and managerial implications.

Yang Zhao, Lin Wang, Huijie Tang et al.

Abstract With the rise of social commerce, electronic word-of-mouth (eWOM) has become an important reference for users to make purchase decisions. However, the quality of information communicated by eWOM on all major platforms is uneven, which seriously affects user trust in eWOM, and in the reputation of the platform. Therefore, from the perspective of information quality, this study adds the social psychological distance of consumers to research the effects of WOM on trust, and its further influence on purchase intentions. This research adopts a questionnaire survey method to collect data from users of Xiaohongshu. Through path analysis, the following conclusions are obtained: (1) information quality is positively associated with social psychological distance and trust; (2) social psychological distance is positively associated with trust; (3) social psychological distance mediates the relationship between information quality and trust; and (4) trust is positively associated with purchase intention. Finally, based on the research conclusions, we put forward suggestions for social e-commerce platforms. The limitations of the study and direction of future research are analyzed.

Lai-Ying Leong, Teck-Soon Hew, K. Ooi et al.

Abstract Trust is an essential concern in s-commerce. Though existing research has studied the association between trust and purchasing intention; the determinants of the formation of trust in s-commerce remain largely unexplored. This study examines the determinants of trust in s-commerce based on social presence and social support. Unlike most business research, we applied a hybrid SEM-ANN approach that can detect non-linear and non-compensatory relationships. Linear and compensatory models assume that a shortfall in one factor may be compensated by other factors. However, consumer decision-making processes are complicated and non-compensatory and linear models tend to oversimplify these processes. Criterion sampling was used to gather 462 datasets of social commerce users using a mall intercept technique. Information support has the strongest effect followed by the social presence of interaction with the sellers, income and social presence of others. The integrated model predicts 76.9% trust in s-commerce. Theoretical and managerial contributions are discussed.

M. Han

Abstract Numerous businesses have employed chatbots with a human-like speaking ability to assist customers with online shopping and customer service; however, it is uncertain whether or not these efforts will pay off by consumers engaging with them. Would young, digital-native consumers use chatbots as we anticipated? If so, what would make them use chatbots? Academic investigations into consumers’ perceptions and acceptance of chatbot commerce are lacking. This research tries to address this question by examining the effect of anthropomorphism on consumers’ perceptions of mobile messenger chatbots and its impact on behavioral decision making. The findings confirm that anthropomorphism plays a positive role in shaping consumers’ intentions to purchase through chatbot commerce.

Neelam Chawla, B. Kumar

Given the rapid growth and emerging trend of e-commerce have changed consumer preferences to buy online, this study analyzes the current Indian legal framework that protects online consumers’ interests. A thorough analysis of the two newly enacted laws, i.e., the Consumer Protection Act, 2019 and Consumer Protection (E-commerce) Rules, 2020 and literature review support analysis of 290 online consumers answering the research questions and achieving research objectives. The significant findings are that a secure and reliable system is essential for e-business firms to work successfully; cash on delivery is the priority option for online shopping; website information and effective customer care services build a customer's trust. The new regulations are arguably strong enough to protect and safeguard online consumers' rights and boost India’s e-commerce growth. Besides factors such as security, privacy, warranty, customer service, and website information, laws governing consumer rights protection in e-commerce influence customers’ trust. Growing e-commerce looks promising with a robust legal framework and consumer protection measures. The findings contribute to the body of knowledge on e-commerce and consumer rights protection by elucidating the key factors that affect customer trust and loyalty and offering an informative perspective on e-consumer protection in the Indian context with broader implications.

Xiaokang Li, Hongdong Guo, Songqing Jin et al.

Abstract This study examines the effects of e-commerce adoption on household income, using survey data of 1,030 households in China. The combination of propensity score matching and difference-in-difference method is employed to address the sample selection bias associated with e-commerce adoption. The results show that e-commerce adopters obtain significantly higher income than non-adopters, and such a significant and large income gain is mainly contributed by the significant increase in sales income. E-commerce adoption has a significant and negative impact on wage income due to the labor substitution effect, while it affects transfer income insignificantly. Additional analysis reveals that the income effects of e-commerce adoption are heterogeneous across geographic locations and household-level characteristics.

Satish Kumar, Weng Marc Lim, Nitesh Pandey et al.

2021 marks the 20th anniversary of the founding of Electronic Commerce Research (ECR). The journal has changed substantially over its life, reflecting the wider changes in the tools and commercial focus of electronic commerce. ECR’s early focus was telecommunications and electronic commerce. After reorganization and new editorship in 2014, that focus expanded to embrace emerging tools, business models, and applications in electronic commerce, with an emphasis on the innovations and the vibrant growth of electronic commerce in Asia. Over this time, ECR’s impact and volume of publications have grown rapidly, and ECR is considered one of the premier journals in its discipline. This invited research summarizes the evolution of ECR’s research focus over its history.

Yue Li, Lei Wang, Kaixuan Wang et al.

The rapid proliferation of autonomous AI agents is driving a shift toward agentic commerce, where agents are expected to autonomously invoke and pay for services. While blockchain-based payments offer a programmable foundation for such interactions, the recently proposed x402 standard fails to enforce end-to-end atomicity across service execution, payment, and result delivery. In this paper, we present A402, a trust-minimized payment architecture that securely binds cryptocurrency payments to service execution. A402 introduces Atomic Service Channels (ASCs), a new channel protocol that integrates service execution into payment channels, enabling real-time, high-frequency micropayments for agentic commerce. Within each ASC, A402 employs an atomic exchange protocol based on TEE-assisted adaptor signatures, ensuring that payments are finalized if and only if the requested service is correctly executed and the corresponding result is delivered. To further ensure privacy, A402 incorporates a TEE-based Liquidity Vault that privately manages the lifecycle of ASCs and aggregates their settlements into a single on-chain transaction, revealing only aggregated balances. We implement A402 and evaluate it against x402 with integrations on both Bitcoin and Ethereum. Our results show that A402 delivers orders-of-magnitude performance and on-chain cost improvements over x402 while providing trust-minimized security guarantees.

Mehul Goenka, Tejas Pathak, Siddharth Asthana

The global economy is entering the era of Agentic Commerce, where autonomous agents can discover services, negotiate prices, and transact value. However adoption towards agentic commerce faces a foundational trust gap: current systems are built for direct human interactions rather than agent-driven operations. It lacks core primitives across three critical stages of agentic transactions. First, Task Delegation lacks means to translate user intent into defined scopes, discover appropriate agents, and securely authorize actions. Second, Payment Settlement for tasks is processed before execution, lacking verifiable evidence to validate the agent's work. Third, Audit Mechanisms fail to capture the full transaction lifecycle, preventing clear accountability for disputes. While emerging standards address fragments of this trust gap, there still remains a critical need for a unified infrastructure that binds the entire transaction lifecycle. To resolve this gap, we introduce TessPay, a unified infrastructure that replaces implicit trust with a 'Verify-then-Pay' architecture. It is a two plane architecture separating control and verification from settlement. TessPay operationalizes trust across four distinct stages: Before execution, agents are anchored in a canonical registry and user intent is captured as verifiable mandates, enabling stakeholder accountability. During execution, funds are locked in escrow while the agent executes the task and generates cryptographic evidence (TLS Notary, TEE etc.) to support Proof of Task Execution (PoTE). At settlement, the system verifies this evidence and releases funds only when the PoTE satisfies verification predicates; modular rail adapters ensure this PoTE-gated escrow remains chain-agnostic across heterogeneous payment rails. After settlement, TessPay preserves a tamper-evident audit trail to enable clear accountability for dispute resolution.

I. Tuncer

Abstract The rising trend of online social shopping is evident from the increasing volume of online social commerce. However, despite the importance of this development, only a limited number of studies exist pertaining to the factors that affect social commerce intention. To fill this gap in the research, the present study develops a model identifying the antecedents of social commerce intention. Utilizing stimulus-organism-response (S-O-R) theory and the affordance lens, the current study attempts to explore the role of IT affordance, flow experience, and trust on social commerce intention. For this purpose, the empirical data were collected by means of an e-survey instrument from customers that had previously used a social commerce platform for shopping. The authors used the partial least squares structural equation modeling (PLS-SEM) method to verify the relationships proposed in the model. Our results show that: visibility affordance influences customer purchase intention through trust in the seller and trust in the social media platform; metavoicing affordance influences social commerce intention through flow experience and trust in the social media platform; and guidance shopping affordance influences social commerce intention through flow experience, trust in the seller, and trust in the social media platform. Some significant theoretical and managerial insights are also presented.

Horst Treiblmaier, Christian Sillaber

Abstract Blockchain-based technologies are predicted as major disruptors for numerous business applications and processes, which bears huge implications for e-commerce. Given the ability of blockchain and related technologies to create so-called “trustless systems” with idiosyncratic properties, various business models and established processes that have emerged over the years to ensure trust, reliability and enforceability in business-to-consumer (B2C), business-to-business (B2B), business-to-government (B2G) and consumer-to-consumer (C2C) relations need to be questioned and potentially adjusted. Blockchain has the potential to shake the foundation of e-commerce by enabling exchange relations that are trustless and operate without dedicated intermediaries or even central authorities in the case of permissionless blockchains. Furthermore, the exchange of information and value between companies and consumers might change considerably by enabling unified access to immutable data along the entire supply chain. In this paper, a framework and 19 high-level research questions are developed to inspire researchers to closely investigate the potential impact of blockchain on e-commerce. The main categories include (a) technological, (b) legal and (c) organizational and quality issues as well as (d) consumer issues. This paper illustrates how blockchain potentially impacts different elements of e-commerce in these respective areas.

Xiancheng Xiahou, Yoshio Harada

Customer churn prediction is very important for e-commerce enterprises to formulate effective customer retention measures and implement successful marketing strategies. According to the characteristics of longitudinal timelines and multidimensional data variables of B2C e-commerce customers’ shopping behaviors, this paper proposes a loss prediction model based on the combination of k-means customer segmentation and support vector machine (SVM) prediction. The method divides customers into three categories and determines the core customer groups. The support vector machine and logistic regression were compared to predict customer churn. The results show that each prediction index after customer segmentation was significantly improved, which proves that k-means clustering segmentation is necessary. The accuracy of the SVM prediction was higher than that of the logistic regression prediction. These research results have significance for customer relationship management of B2C e-commerce enterprises.

Zhenfang Zhang, N. Zhang, Jiguang Wang

The sustainability of live commerce is closely dependent on the impulse buying behavior of consumers because of its live characters compared to the traditional e-commerce mode. Hunger marketing is a widely adopted mode in live commerce, however, the influencing factors on impulse buying behavior of consumers under the mode of hunger marketing in live commerce is currently lacking. Here, based on SOR theory, we carefully studied how external stimulus variables (anchor characteristics, online comments, logistics service quality, promotion incentive information, and promotional time limit) affected consumers’ impulse buying behavior under the inner mechanism reaction factors (perceived trust and perceived value). By collecting questionnaires from 533 Chinese online consumers, we processed these data using SPSS23.0 and analyzed them using the structural equation model (SEM) generated by AMOS 25.0. The results showed that extrinsic stimulus variables (except for the promotional time limit variable) have significant positive effects on impulse buying behavior through partial or total positive effects on intrinsic mechanisms. We analyzed the reasons for all these results in detail, and thought the reason that the promotional time limit did not have a significant impact on the perceived value might be due to the rapid increase in the frequency of live commerce. Moreover, we also put forward the suggestions on the basis of these influencing factors to improve the sustainable development of live commerce.

Sophia Maria

Large language models (LLMs) excel in general-domain applications, yet their performance often degrades in specialized tasks requiring domain-specific knowledge. E-commerce is particularly challenging, as its data are noisy, heterogeneous, multilingual, and highly dynamic. We present Compass-v3, a vertical-domain Mixture-of-Experts (MoE) model with 245B total parameters and 71B active per token, designed for Southeast Asian e-commerce. Compass-v3 adopts fewer but larger experts, combined with hardware-efficient optimizations-such as intra-node expert parallelism and a customized memcpy operator-to maximize GPU utilization. The model is trained on 12T tokens of curated multilingual corpora and large-scale synthetic e-commerce instructions using a mixed-training strategy. To enhance alignment, we propose Optimal-Transport Direct Preference Optimization (OTPO), which captures token-level distinctions and improves instruction adherence in commerce-specific scenarios. Extensive evaluations demonstrate that Compass-v3 delivers state-of-the-art e-commerce performance, surpassing DeepSeek-V3.1, GPT-4 series, and Qwen3-235B. Moreover, Compass-v3 demonstrates strong multilingual capability across low-resource Southeast Asian languages (Indonesian, Thai, Filipino, Vietnamese, Malay, Taglog) and Portuguese while sustaining competitive performance on general benchmarks. It has already been widely applied in Shopee's industrial-scale e-commerce platform and is gradually replacing OpenAI's traffic, now accounting for over 70\% of total LLM usage, highlighting its dual strengths in specialized commerce expertise and broad linguistic competence.