E-commerce Corporations Research Articles

Financing Risks and Preventive Measures for E-Commerce Corporates

The e-commerce industry has achieved tremendous development in the past decade. However, in this rapid development process, there are some problems that have caused huge hidden dangers, and financing is the most important one among them. Therefore, the topic of this article is the dangers and prevention methods of e-commerce corporations under different financing methods. The method of this paper is as follows: first, segment the financing models of e-commerce corporates, then combine the financing situation of several well-known e-commerce corporates in China, analyze relevant data, and discuss the possible problems under these financing models separately. The research shows that the short-term debt payment risk, financial leverage risk and investment decision risk are the major risks that have influences on the firms’ financing, and the first two have a greater impact. To resolve these dangers, e-commerce firms can adjust debt structure, diversify financing channels and establish a sound risk prevention mechanism.

Review on Shopping in the Fear of Covid 19 and Consumer Attitudes

This study explored Istanbul internet buyers' COVID-19 concerns. Epidemic, financial, and internet shopper futures were analysed. The pandemic has increased online shopping. Evaluated consumer spending. The study acknowledges financial, time, and audience limits. Istanbul's internet shoppers were evaluated before, during, and after an outbreak. The study affects governments, e-commerce corporations, and others. It emphasizes how corporations must accommodate client preferences and attitudes. Customer behaviour research builds trust and adapts to internet purchase patterns. COVID-19 affected online buyers. Health and safety have increased online shopping. Post-pandemic consumers are cost-conscious and value-oriented. Predict online customer behaviour. However, the pandemic promoted e-commerce. Consumers choose simplicity, digital platforms, and economic growth. TPB, EBM, influential purchasing attitudes, and COVID-19 internet shopping examined customer behaviour. The study found COVID-19 fear affects online shopping. TPB claims subjective norms, attitudes, and perceived behavioural control affect customer intentions and behaviour during and after the pandemic. Price and quality matter during outbreaks. They want cheap, good solutions. Data reveal firms, organizations, and stakeholders must comprehend and adapt to customer attitudes and behaviours. These data help e-commerce enterprises satisfy customers. The findings can help authorities promote and regulate e-commerce for customer safety and convenience.

Self-Supervised Interest Transfer Network via Prototypical Contrastive Learning for Recommendation

Cross-domain recommendation has attracted increasing attention from industry and academia recently. However, most existing methods do not exploit the interest invariance between domains, which would yield sub-optimal solutions. In this paper, we propose a cross-domain recommendation method: Self-supervised Interest Transfer Network (SITN), which can effectively transfer invariant knowledge between domains via prototypical contrastive learning. Specifically, we perform two levels of cross-domain contrastive learning: 1) instance-to-instance contrastive learning, 2) instance-to-cluster contrastive learning. Not only that, we also take into account users' multi-granularity and multi-view interests. With this paradigm, SITN can explicitly learn the invariant knowledge of interest clusters between domains and accurately capture users' intents and preferences. We conducted extensive experiments on a public dataset and a large-scale industrial dataset collected from one of the world's leading e-commerce corporations. The experimental results indicate that SITN achieves significant improvements over state-of-the-art recommendation methods. Additionally, SITN has been deployed on a micro-video recommendation platform, and the online A/B testing results further demonstrate its practical value. Supplement is available at: https://github.com/fanqieCoffee/SITN-Supplement.

Amazon’s distribution space: constructing a ‘labour fix’ through digital Taylorism and corporate Keynesianism

Abstract Amazon is one of the largest e-commerce corporations in the world and has built a reputation for fast, low-cost service. To rapidly and efficiently move goods from production to consumption, however, Amazon relies on a logistics network that entails significant investments in infrastructure (physical and human) and these investments present a challenge for capital accumulation. In this paper, I examine the labour practices that Amazon employs within its distribution work spaces to address this challenge. The analysis is based on a case study of Amazon’s distribution facilities (fulfilment centres and delivery stations) in Montreal, Quebec. It draws on ethnographic research as a community organizer and semi-structured interviews with workers (present and former), trade union representatives and public policy experts to identify Amazon’s key strategies. Building on past studies on the platform economy, I illustrate how Amazon relies on ‘digital Taylorism’ (Staab & Nachtwey, 2016), involving the use of digital technologies to structure and control the labour process and surveil workers, as a key strategy. However, I further illustrate how Amazon seeks to balance the harmful effects of digital Taylorism with what I term ‘corporate keynesianism’ (i.e., social welfare benefits) to attain a ‘labour fix’, i.e., the steady supply of precarious, compliant labour needed to sustain the logistics machine.

신선식품 전자상거래 서비스에 대한 소비자 인식 및 시장 동향 분석: 텍스트 마이닝 기법의 활용

As the competition in the fresh food e-commerce market intensifies, it has become important to identify various drivers that influence customers’ perception of the e-commerce service. The purpose of this paper is to analyze the fresh food e-commerce trend and the customers’ perception of fresh food e-commerce service. We apply text mining to online review data which show voluntary and direct experience or feedback from customers. To the best of our knowledge, this study is the first to conduct latent Dirichlet allocation(LDA), a topic modeling approach, and word cloud to a large number of customer online reviews for investigating the e-commerce market and service. The results reveal the continuous interest in the delivery service and delivery speed for fresh food products in the e-commerce market. Furthermore, various topics and topics’ relative importance which represent customers’ perception of fresh food e-commerce service suggest the insights for the direction of e-commerce corporate. We expect that this paper could fill the gap in studies about the fresh food E-commerce. Furthermore, such results can provide valuable information for the fresh food E-commerce corporations in establishing operational strategies.

Social enterprises in electronic markets: web localization or standardization

The question of how social enterprises (SEs)—organizations that work to solve social issues through innovative ideas and strategies—utilize the web to internationalize has received little attention in electronic business literature. We address this issue by examining whether SEs pursue a web globalization strategy that is standardized across national markets or localized and culturally customized to individual locales. Accepted knowledge about e-commerce corporations predicts that these firms would be better off with web localization. However, an investigation using content analysis and two case studies complemented with face-to-face and digital interviews reveals that SEs differ inherently from for-profit businesses in web globalization. Specifically, this paper shows that SEs adopt a web strategy high on standardization to mobilize, educate, advocate, and recruit would-be donors, influencers, and volunteers. Such a strategy allows SEs to build legitimacy and reinforce their global brand. Our empirical findings show the uniqueness of SEs’ digital context from profit-oriented e-commerce corporations and the need for a suitable theoretical framework.

Evolving strategies of e-commerce and express delivery enterprises with public supervision

This paper considers the e-commerce enterprises as the principal who outsource logistics services to the express delivery firms acting as the agent. The delivery enterprise faced with incomplete information provides either high- or low-quality logistics services, while the e-firm regulates either actively or passively. Using an evolutionary game model, this paper seeks equilibrium strategies of the two parties under public supervision, with impacts of pertinent parameters on strategy selections illuminated. Analytical results indicate that the delivery firms rely mostly on comparative profit between high- and low-quality logistics services to make decisions, while the e-firms consult to monitoring cost rather than regulatory success rates to make selections between active and passive regulation. When public supervision stays at a relatively deficient level, passive supervision is preferred by the e-firm with the increase of consumer complaint rate. Still, it is possible to maintain the benefits of e-commerce corporations as well as enhance logistical performance in evolutionary games with the help of an operative supervision and punishment mechanism. Additional managerial insights are provided for discussion.

FOREIGN DIRECT INVESTMENT AND THE PERFORMANCE OF INDONESIAN MARKETPLACE E-COMMERCE CORPORATION: AN APPLICATION OF NETWORK, OWNERSHIP, LOCATION AND INTERNALISATION FRAMEWORK

Data on real-time marketing performance from micro, small and medium enterprises (MSMEs) selling their products in marketplace e-commerce corporations (MECCs) is a big challenge for researchers studying the performance of MECCs capital structure. This article explores the use of Google Trends to determine the impact of Foreign Direct Investment (FDI) on MECCs’ performance. The findings of the trend analysis are explained using the N-OLI framework. It is found that there was a sharp trend decrease in MECCs with partial FDI (Tokopedia and Bukalapak) and full domestic investment (Blibli).On the other hand, there was a sharp increase in MECCs full FDI (Shopee). Other MECCs with full FDI, namely Lazada, has experienced a decrease but it is not as consistent as that of partial FDI. An increase trend in Shopee has negative correlation with a decline trend in Bukalapak. However, after being grouped, partial FDI has a significantly higher mean score compared to full FDI, and MECCs without FDI has the lowest mean score. This finding shows that in the case of Indonesia, FDI plays a role in encouraging the success of MSMEs, especially in MECCs, which have a combination of FDI and domestic investment.

Internationalization of e-commerce corporations (ECCs)

PurposeThe growth of global e-commerce presents significant opportunities for global expansion. Yet it has not leveled the playing field between emerging markets e-commerce corporations (EM-ECCs) and advanced markets ECCs (AM-ECCs). While AM-ECCs have been expanding overseas with considerable success, EM-ECCs have been less disposed to internationalize and have been content to serve and defend their home turfs against foreign rivals who wield monopolistic advantages. Leveraging the network, ownership, location and internalization (N-OLI) theoretical framework, this paper aims to examine the variables affecting the internationalization of AM-ECCs and EM-ECCs.Design/methodology/approachThis paper adopted an exploratory research method using multiple corporate cases to focus on understanding the dynamics present within single settings, capture corporate context and allow comparison between cases.FindingsThe findings suggest that AM-ECCs, in comparison to EM-ECCs, are endowed with favorable and strong network-based advantages, ownership-based advantages, location-based and internalization-based advantages that make them more capable of pursuing internationalization aggressively. However, EM-ECCs are induced to pursue regionally-focused internationalization due, on the one hand, to capital scarcity, weaknesses on network-based and internalization-based advantages and, on the other hand, to geographical strength and strong location-based advantages emanating from knowledge of the home region.Originality/valueThis paper identifies the internationalization challenges that EM-ECCs face with respect to AM-ECCs. While extending the theoretical discussion of the N-OLI framework in light of EM-ECCs, this paper also extends the EM-ECC strategies within local and regional markets, including emerging markets such as India and the Middle East. This extension supports the assertion that regional focused strategies are not immune to technological advantages which support the notion of a regional strategic growth strategy because of localization advantages and capital leverage limitations. Finally, the paper expands the analysis to some emerging markets that have attracted less attention in the literature, namely, India and the Middle East.

E-Commerce Product Classification using Lexical Based Hybrid Feature Extraction and SVM

At present, online shopping has become a growing process, in which the profit statistics are posted by familiar e-commerce corporations like Amazon, Flipkart, Snapdeal, etc. However, this kind of online shopping unkindly omits the touch and feel of the products that can be used to estimate the product quality as the main factor while buying the commodities from the shops. The estimation of product quality is more significant during the purchasing of online products. Therefore, many opinion mining and sentiment classification methods were introduced to purchase the best products through online shopping. But, these classification methods haven’t attained the effective product classification with best reviews and ratings. In this paper, we propose a hybrid feature extraction method PCA (Principle Component Analysis) and t-SNE (t-Distributed Stochastic Neighbor Embedding ) with SVM (Support Vector Machine) using lexicon-based method to classify and separate the products from the large set of different products depending on their features, best product ratings and positive reviews. In this process, the online products will be isolated and listed according to their high positive reviews. The data preprocessing is applied to the dataset to get the data accuracy before the execution of feature extraction and classification. The dimensionality reduction and best visualization of large data set are executed by applying the PCA and t-SNE method. The sentiments are also been extracted by this hybrid feature extraction method to acquire the best neighboring product ratings. The polarity of words is discovered using a lexical based approach to extract positive reviews for obtaining the best products. Finally, the SVM is exploited to the classification of products. The performance of the proposed method is estimated with precision, recall, accuracy and complexity that can provide the entire accurateness of the system.

Essay on Corporate Social Responsibility in Ecommerce Companies

In the following article, the theory of knowledge management (TKM) is described as the systematisation of an organisation’s practices to facilitate consistent service and product delivery across divisions and regions. Organisation theory is approached from the postmodern perspective and expressed as comprising five separate elements: organisational activism, workplace humanism, societal context, multiple disciplines, and the value given to historical knowledge. Corporate social responsibility (CSR) is addressed in its importance as a popular project for organisations, however, studies show that CSR does not present long-term value for most firms. Chia’s (1996) consideration of being-realism in organisational theory is evaluated, questioning the rationality of depicting strategies and goals with physicality in order to compare them. Mills, Boylstein, & Lorean (2001) provide an argument for a society heavily influenced by technology which causes individuals to feel a deep sense of impending doom, which is examined against related studies. Finally, Newton’s (1996) comparison of postmodernist theory, organisational theory, and feminist study within the context of actions in the postmodernist movement, is reviewed. The article concludes by critiquing postmodernist applications of organisational theory and their applicability when faced with real-world constraining elements, such as physical risks and time factors. It is suggested that this uneven transition outside of academics makes creating a functional organisational CSR model for ecommerce corporations impractical in long-range planning.

An Exploration on the Relationship of Transformational leadership, Innovation Atmosphere and E-Commerce Organization Innovation

In the knowledge economy, the innovation already became the motivation of foundation for organization growth, especially for E-commerce organizations. Business organizations should consider how their organizational innovations for all aspects of resource optimization to increase efficiency. The purpose of this study is to build some conceptual models in transformational leadership, innovation atmosphere and E-commerce organization innovation. Through the questionnaire survey procedure in some E-commerce corporations in Zhe Jiang, this research takes correlation analysis and regression analysis. We discovered: both transformational leadership and innovation atmosphere have the remarkable influence on E-commerce organization innovation. We also find the differences of effects and their interactions directly between the transformational leadership, innovation climate and the dimension degrees on E-commerce organization innovation.

Network site optimization of reverse logistics for E-commerce based on genetic algorithm

Product returns have been viewed as an unavoidable cost for online sales, forfeiting any chance of cost savings. As competition pressure continues to mount in E-commerce, B2B or B2C, E-commerce corporations have begun to explore the possibility of managing product returns in a more cost-efficient manner by rescheduling the locations of recycling centers. However, few studies have addressed the problem of optimization of the numbers and location of collecting points, recycling centers and remanufacturing centers for E-commerce based on genetic algorithm. To fill the void in such a line of research, this paper proposes a genetic algorithm-based model that can solve the location-allocation optimization of reverse logistics for E-commerce. The usefulness of the proposed model and algorithm was validated by its application to an illustrative example dealing with logistics sites allocation from online sales.

Explaining the Growth of E-Commerce Corporations (ECCs): An Extension and Application of the Eclectic Paradigm

The emergence of the Internet has created a dynamic electronic marketplace, where a new species of e-commerce corporations are taking root. However, the factors affecting the growth of these e-commerce corporations is a relatively unexplored area in international business. This study contributes to the international business literature in two significant ways. First, it attempts to critically evaluate the major international business theories to identify the variables affecting the growth of e-commerce corporations. Second, the proposed framework in the study extends the explanatory power of the eclectic paradigm not only by interpreting the paradigm in the context of e-business, but also by including an element of network-based advantages to the OLI-configuration.