Hasil untuk "Commerce"

Mark Yi-Cheon Yim, Shu-Chuan Chu, Paul L. Sauer

N. Boysen, R. Koster, Felix Weidinger

E-commerce retailers face the challenge to assemble large numbers of time-critical picking orders each consisting of just a few order lines with low order quantities. Traditional picker-to-parts warehouses are often ill-suited for these prerequisites, so that automated warehousing systems (e.g., automated picking workstations, robots, and AGV-assisted order picking systems) are applied and organizational adaptions (e.g., mixed-shelves storage, dynamic order processing, and batching, zoning and sorting systems) are made in this branch of industry. This paper is dedicated to these warehousing systems especially suited for e-commerce retailers. We discuss suited systems, survey the relevant literature, and define future research needs.

Michael D. Smith, Erik Brynjolfsson

David Gefen, D. Straub

Qiwei Chen, Huan Zhao, Wei Li et al.

Deep learning based methods have been widely used in industrial recommendation systems (RSs). Previous works adopt an Embedding&MLP paradigm: raw features are embedded into low-dimensional vectors, which are then fed on to MLP for final recommendations. However, most of these works just concatenate different features, ignoring the sequential nature of users' behaviors. In this paper, we propose to use the powerful Transformer model to capture the sequential signals underlying users' behavior sequences for recommendation in Alibaba. Experimental results demonstrate the superiority of the proposed model, which is then deployed online at Taobao and obtain significant improvements in online Click-Through-Rate (CTR) comparing to two baselines.

Mingyao Hu, Sohail S. Chaudhry

PurposeEnhancing consumer engagement in e-commerce live streaming is critical for e-commerce operators to build relationships and create consumer loyalty. Using the stimulus–organism–response model and theories from relationship marketing, the authors develop and test an integrative conceptual framework that combines various relational bonds, affective commitment, and consumer engagement.Design/methodology/approachUsing 327 valid responses from consumers of Taobao Live, the authors employed the software Mplus7.0 to evaluate the measurement model and the structural model.FindingsThe results empirically demonstrate that social and structural bonds positively affect consumer engagement directly and indirectly via affective commitment, while financial bonds have only an indirect effect via affective commitment on consumer engagement.Practical implicationsThe findings provide useful insights for e-commerce operators, who should invest in establishing relational bonds and stimulating affective commitment to improve consumer engagement.Originality/valueThis study adds to e-commerce research by being one of the first empirical studies on e-commerce live streaming, extends the marketing literature by integrating different relational bonds as antecedents of consumer engagement from the relational perspective, and enriches the affective commitment literature by distinguishing commitment to the online marketplace from commitment to the broadcaster.

Xiabing Zheng, Jinqi Men, Feng Yang et al.

Abstract Growing evidence shows that mobile commerce will increase consumers’ impulse buying behavior. However, existing study examining the impact factors on individuals’ impulse buying in mobile commerce is limited. Drawing on stimulus-organism-response (S-O-R) paradigm, this study focuses on situation factors and reaction factors in mobile commerce to examine impulse buying. Building on prior literature of browsing and motivation theory, this study views hedonic browsing and utilitarian browsing as two key drivers on impulse buying in mobile commerce. This study adopts partial least squares estimation to analyze the data obtained from an online questionnaire. Two main findings emerge. First, three situation factors (portability, visual appeal and interpersonal influence) differently affect hedonic browsing and utilitarian browsing. Second, hedonic browsing directly and positively influences consumers’ urge to buy impulsively, whereas utilitarian browsing indirectly influences consumers’ urge to buy impulsively through hedonic browsing. Discussions, limitations, and implications are also presented in the paper.

Salma S. Abed

Abstract Social commerce is becoming an important hub for product sourcing, which helps companies to connect with customers and to gain competitive advantages. However, very little empirical research that focuses on small-and medium-sized enterprises (SMEs) has been conducted to date. This study examines factors that affect social commerce adoption by SMEs. Using the Technology-Organisation-Environment (TOE) as the theoretical framework, the researchers tested the model and related hypotheses, employing structural equation modelling. The results from a survey of 181 SMEs in Saudi Arabia indicate that trading partner pressure in the environmental context, followed by top management support in the organisational context, and perceived usefulness in the technological context, have the most significant influence on behavioural intention to use social commerce. The research contributions and conclusion as well as limitations and future research directions are presented.

Norman Shaw, Ksenia Sergueeva

Abstract Consumers can conduct mobile commerce via their smartphones. They can search for products and when ready, they pay and have the products delivered to their homes. By sharing personal information, they receive faster and more customized service. Because of the risk of loss of privacy, consumers need to balance their privacy concerns against the perceived value of enhanced mobile commerce. In this empirical study, the unified theory of acceptance and use of technology (UTAUT2) is modified where perceived value replaces price value to represent the value of an IT artifact that has no direct costs attributable to it. The framework is extended to include constructs from the privacy calculus. In addition, the construct of personal innovativeness is added as a moderator with the anticipation that owners of smartphones who are more personally innovative will be more willing to share information. From an empirical study of Canadian smartphone owners, the results show that perceived privacy concerns influence perceived value and that intention to use is significantly influenced by hedonic motivation and perceived value.

George Lăzăroiu, Octav Neguriță, I. Grecu et al.

This study enhances the existing literature on the role of trust and online perceived risk in shaping consumer purchase decision-making in social commerce. The aim of this article is to investigate consumers’ purchase decision-making process, the determinant components of social commerce purchase intentions and attitudes, the effect of perceived risk on intention to go shopping in online settings, and consumer trust and buying behavior on online retailing platforms. The insights obtained from our research extend current knowledge as regards determinants of consumer attitudes and intentions toward online purchases, consumers’ perceived shopping risk and repurchase behavior when buying products online, and perceived consumer online trust and purchase decisions. Limited research has considered consumers’ decision-making processes on social commerce platforms by investigating how their perceptual attitudes, behavioral intentions, and immediate gratifications affect the purchase of products and services online. Our study addresses this gap and extends prior research by focusing on the relationship between online consumer purchase intention, social commerce adoption behavior, and consumers’ trust together with risk factors affecting online buying decisions, in light of the characteristics of source credibility. Our findings point toward important avenues of research on psychological determinants of consumer engagement in social media, decision mechanisms lying behind evaluation of prices, the types of perceived risk incurred, and online repurchasing behavior and intention on social commerce platforms. Subsequent directions should clarify whether adoption of mobile payment services may shape online consumers’ impulsive buying behavior and decision-making, especially under the influence of online product reviews.

Apiradee Wongkitrungrueng, N. Dehouche, N. Assarut

ABSTRACT Live streaming has recently become a popular direct selling channel which offers small, self-employed sellers unseen levels of consumer interaction and engagement. While the extant research focused on consumer motivation and intention to shop via live streaming, little is known from the seller’s perspective. Indeed, the potential advantages of live streaming commerce are accessible to everyone, but sellers experience different levels of success with this medium. Using a mixed quantitative and qualitative approach, this study analyses Facebook data of live streaming sellers to assess the nature and extent of engagement metrics, and delineate the dynamic, interactive live streaming sales process. We identify four sales approaches and twelve strategies adopted in acquiring and retaining customers. This typology of sales approach representing seller-focused antecedents is mapped against the relationship process and outcomes to provide a framework for understanding relationship mechanisms in live streaming commerce.

Jiaolong Xue, Xinjian Liang, Tao Xie et al.

Abstract Although live social commerce apps have emerged as a marketing channel recently, live social commerce, as a relatively new phenomenon, has attracted little attention. The authors aim to explore the effect of live interactions on social commerce engagement based on the stimulus–organism–response paradigm and the moderating effect of susceptibility to informative influence. The findings show that live interactions (i.e., personalization, responsiveness, entertainment, mutuality, perceived control) positively affect perceived usefulness and negatively impact perceived risk and psychological distance, promoting social commerce engagement. The results provide theoretical insights on live interactions and social e-commerce and contribute managerial implications for practitioners.

S. Molinillo, Rocío Aguilar-Illescas, Rafael Anaya‐Sánchez et al.

Abstract Drawing on the stimulus-organism-response (SOR) framework, a model is tested that improves the understanding of customer loyalty toward social commerce websites. The results showed that: information and service quality are key antecedents of perceived value, whereas rewards and recognition, and customization are non-significant. Perceived value is an important driver of customer loyalty toward these websites. The model's relationships are affected by gender and frequency of use. Overall, the findings of this study extend the understanding in the social commerce context of: (i) the antecedents of customer perceived value and behavioral intentions; and (ii) the moderating effects of age, gender and frequency of social commerce use on the model relationships.

C. Guthrie, Samuel Fosso-Wamba, Jean Brice Arnaud

The COVID-19 pandemic has disrupted retail and accelerated the trend towards electronic commerce. This study explores the reasons for and the implications of this shift. Our study builds on the consumer behavior literature, emerging COVID-19 research, and the environmentally imposed constraints perspective to describe how online purchasing behavior evolved during the COVID-19 crisis. The objective is to better understand how consumers use e-commerce to react to, cope with and adapt to periods of environmentally imposed constraints. Based on multiple sources including transaction and search data from a major French online retailer, we describe how consumer behavior evolves during such stressful life events as COVID-19. Our results support the usefulness of the multi-perspective react-cope-adapt framework of constrained consumer behavior in an online environment.

Hong Wang, Yue-jiao Li, Weifen Lin et al.

Digital technology is an effective way to realize the carbon neutrality target in China. Therefore, based on panel data at the city level in China from 2006 to 2016, we take the e-commerce pilot policy as a quasi-natural experiment, using the staggered difference-in-differences (DID) method to explore the effect of digital technology development on carbon emissions and its transmission mechanism. The conclusion of this paper shows that (ⅰ) the e-commerce pilot policy has significantly reduced carbon emissions. After a series of robustness tests, this empirical conclusion is still valid. (ⅱ) The inhibitory effect of different waves of e-commerce pilot cities on carbon emissions sequentially decreases. The e-commerce pilot policy has a greater effect on reducing carbon emissions in non-old industrial based cities and non-resource-based cities. (ⅲ) Implementing the e-commerce pilot city policy mainly reduces urban carbon emissions by optimizing resource allocation, reducing energy consumption and upgrading the industrial structure. (ⅳ) In addition, implementing the e-commerce pilot city policy has a significant positive carbon-reducing linkage effect with the carbon trading pilot policy and the low-carbon city pilot policy. The findings of this paper provide empirical evidence for carbon emission reduction, which has implications for upgrading urban construction patterns and promoting green urban development.

Yudiyanto Joko Purnomo

In this digital era, technological developments have significantly changed the business paradigm, especially in the e-commerce industry. E-commerce platforms have become one of the main media for many companies to sell their products and services online. However, the increasing number of competitors on e-commerce platforms requires companies to have an effective marketing strategy to increase sales conversion and gain a competitive advantage. The purpose of this research is to analyse and identify effective digital marketing strategies in increasing sales conversion on e-commerce platforms. The current research type is qualitative. Data collection techniques include listening and recording important information to conduct data analysis through data reduction, data display, and conclusion drawing. The study results show that in an effort to increase sales conversions on e-commerce platforms, digital marketing strategies play a crucial role. By combining various techniques and tactics, you can achieve successful results in increasing traffic, engagement, and ultimately, sales conversions on your e-commerce platform. Here are the core digital marketing strategies including SEO, content marketing, social media, paid advertising, user experience optimisation, customer reviews and testimonials, content personalisation, video usage, incentives, and car optimisation.

Ge Zhang, Zhao Li, Jiaming Huang et al.

With the development of e-commerce, fraud behaviors have been becoming one of the biggest threats to the e-commerce business. Fraud behaviors seriously damage the ranking system of e-commerce platforms and adversely influence the shopping experience of users. It is of great practical value to detect fraud behaviors on e-commerce platforms. However, the task is non-trivial, since the adversarial action taken by fraudsters. Existing fraud detection systems used in the e-commerce industry easily suffer from performance decay and can not adapt to the upgrade of fraud patterns, as they take already known fraud behaviors as supervision information to detect other suspicious behaviors. In this article, we propose a competitive graph neural networks (CGNN)-based fraud detection system (eFraudCom) to detect fraud behaviors at one of the largest e-commerce platforms, “Taobao”1. In the eFraudCom system, (1) the competitive graph neural networks (CGNN) as the core part of eFraudCom can classify behaviors of users directly by modeling the distributions of normal and fraud behaviors separately; (2) some normal behaviors will be utilized as weak supervision information to guide the CGNN to build the profile for normal behaviors that are more stable than fraud behaviors. The algorithm dependency on fraud behaviors will be eliminated, which enables eFraudCom to detect fraud behaviors in presence of the new fraud patterns; (3) the mutual information regularization term can maximize the separability between normal and fraud behaviors to further improve CGNN. eFraudCom is implemented into a prototype system and the performance of the system is evaluated by extensive experiments. The experiments on two Taobao and two public datasets demonstrate that the proposed deep framework CGNN is superior to other baselines in detecting fraud behaviors. A case study on Taobao datasets verifies that CGNN is still robust when the fraud patterns have been upgraded.

Zulkarnain Kedah

The process of purchasing, offering for sale, or transferring goods, services, and information over computer networks is known as electronic commerce (e-commerce). E-commerce is a subset of e-business, which has a broader definition that includes business partners, customer support, and job openings in addition to commercial activities. A database or database (database), e-mail or electronic mail (e-mail), non-computer technology in the form of different delivery systems, and a method of payment for e-commerce are additional requirements for e-commerce in addition to networking technologies. Given that e-commerce is electronic, customers can access and place orders from many locations. Given the current state of modern technology, a client wishing to access online shopping need not physically be there, as there are numerous locations in Indonesia's major cities that offer Wi-Fi-enabled internet access via laptop, notebook, or Personal Digital Assistant (PDA). So, this is a crucial time for businesses to establish e-commerce services. E-commerce is still largely unused in Indonesia. Following some background information, the author talks about the benefits of e-commerce to his business goals.

Yunpeng Yang, Nan Chen, Hongmin Chen

The digital trade ecosystem’s development relies on the growth of cross-border e-commerce platforms. To ensure the continued growth of China’s digital trade, it is crucial to consider the service capabilities of digital platforms and the digital transformation capabilities of cross-border e-commerce firms. This study explores the impact of these factors on the performance of cross-border e-commerce companies, with digital transformation capability acting as a mediator. Empirical research reveals that the service capability of digital platforms is composed of supply chain communication and cost control abilities, which partially mediate the relationship between digital platform serviceability and cross-border e-commerce enterprise performance. Moreover, both the service capabilities of digital platforms and the digital transformation capabilities of cross-border e-commerce companies have a positive and significant impact on enterprise performance.

خالد سمير محمد حسن

تأتي هذه الدراسة في ظل تصاعد دعوات كثيرة من أجل إصدار قانون جديد لتنظيم الإدارة المحلية في مصر، نظرًا لأن القانون الحالي ( قانون رقم 43 لسنة 1979) لم يعد مواكباً لما جاء بالدستور الجديد ( دستور 2014 ) من صلاحيات جديدة ودعم صريح للامركزية و ترسيخ لديمقراطيتها و تعزيز لصلاحياتها .و تستعرض هذه الدراسة تاريخ الإدارة المحلية في مصر، مع التركيز على انتخابات المجالس المحلية خلال فترة حكم الرئيس الأسبق حسني مبارك ، وهي فترة غنية بالتفاعلات السياسية وشهدت عدة استحقاقات انتخابية محلية وقرارات بشأنها لم تتناولها دراسات سابقة بشكل كافٍ ، وقد استخدمت الدراسة المدخل التاريخي وذلك سعياً لحصر السلبيات والإستفادة منها وكذا الوقوف على مواضع القوة فى تجربة " إدارة المحليات " فى مصر بشكلها الحديث ومفهومها المعاصر عبر قرابة قرن كامل من الزمان ، سعيا للوصول إلى نتائج علمية يمكن أن نستقرأ منها توصيات فاعلة فى حالات مماثلة للدول النامية أو حديثة العهد بالتعددية السياسية والحريات والديمقراطية فى إدارة الأقاليم ..