B2B E-commerce Research Articles

Sentiment Analysis of Customer Review Using Classification Algorithms and SMOTE for Handling Imbalanced Class

Ralali.com is a B2B e-commerce platform that offers various brands across categories ranging from automotive to building materials. The Play Store is a tool for downloading applications used by many people. This research aims to compare and find the best model among Naïve Bayes (NB), Support Vector Machine (SVM), and k-Nearest Neighbor (k-NN) in classifying the sentiment reviews of Ralali.com's application on the Play Store, and analyze the negative labels to provide recommendations for Ralali.com developers. Based on the research results, the NB Algorithm stands out as the best choice compared to SVM and k-NN in addressing class imbalance. The use of SMOTE generally improves the model performance on minority classes for Precision, Recall, and F-Measure, although there are still challenges related to the lower Accuracy compared to the use of non-SMOTE.

Innovative Marketing Strategies Analysis of Alibaba

In the context of a globalized economy, the rapid development of cross-border e-commerce offers businesses unprecedented opportunities for market expansion. However, this expansion process requires enterprises to effectively promote their products and services to attract international buyers and build enough trust to ensure the security and reliability of transactions. As one of the world's largest B2B e-commerce platforms, Alibaba has successfully addressed these challenges through its unique business model and strategy, facilitating global trade. Through a case study, this paper examines the implementation details of Alibaba International's innovation and promotion activities, including search engine optimization, customized services, ecosystem building, implementation of a digital showroom, and the safeguards it implemented to build trust between buyers and sellers. It explains how Alibaba has made itself the world's largest B2B cross-border e-commerce platform and contributed to the digital transformation of global trade.

Routing protocols for B2B e-commerce logistics in cyber-physical internet (CPI)

Currently, the boom in B2B e-commerce logistics and the fragmentation of logistics networks have put tremendous pressure on the efficient and economical routing of packages. The idea of the cyber-physical internet (CPI) in logistics is to establish a new paradigm for sending and receiving goods, similar to how sending and receiving instant messages over the internet might be a solution. This work focuses on the routing process in B2B e-commerce logistics driven by the CPI. A framework of B2B e-commerce logistics in CPI networks is proposed to integrate logistics networks with components such as CPI routers, routing tables, and autonomous logistics systems (ALSs). Routing protocols within and among ALSs are proposed for making routing decisions based on information in routing tables for efficient and economical routing. Finally, two B2B e-commerce logistics scenarios are utilized to simulate the routing protocols in CPI networks to prove their feasibility, and their sensitivity is analysed. This work may support the improvement of B2B e-commerce logistics networks and intelligent logistics in Industry 4.0.

Awadh Fashion

Awadh Fashion is the process of doing business through computer network. A person sitting on the couch in front of the computer can access any part of the internet to buy or sell something. Unlike traditional jobs that require people to go and buy things, Awadh Fashion makes it easier for people to reduce physical work and save time. Sustainability is one of the challenges faced by Awadh Fashion today and there are many developments in the field of sustainability as well. For Awadh Fashion's use in developing Lucknow, B2B e-commerce was used to improve access to regional markets for companies developing Lucknow. Progress in e-commerce is essential for the growth of Lucknow. The research strategy highlights the importance of Awadh Fashion in developing business practices in Lucknow.

Factors affecting customer satisfaction in the customer journey in B2B and B2C e-commerce environment

Factors affecting customer satisfaction in the customer journey in B2B and B2C e-commerce environment

Factors affecting customer satisfaction in the customer journey in B2B and B2C e-commerce environment

Factors affecting customer satisfaction in the customer journey in B2B and B2C e-commerce environment

ОСОБЕННОСТИ И ВОЗМОЖНОСТИ МАРКЕТИНГА НА РЫНКЕ B2B: ЦЕННОСТНЫЙ ПОДХОД

The digital acceleration caused by the pandemic has increased the interest of companies worldwide in B2B. The study aims to examine the key aspects and features of B2B marketing, as well as the current prospects for its use. The article studies the marketing managers’ scientific works; considers elements of the B2B value pyramid and a marketing approach to meeting customer needs; analyzes B2B technologies for developing new marketing strategies and methods for selling goods and services. The novelty of the study lies in expanding the understanding of effective B2B marketing interactions through the lens of the value approach. The study confirms that certain marketing attributes used by B2B companies might significantly affect customers’ purchasing decisions in their favor. Customer behavior is not always rational and requires a value based approach to understand marketing communications. B2B companies involve different types of activities, which requires further research. B2B e-commerce offers great opportunities for organizations and will continue to play an important role in the global economy and trade in the future.

Analysis of the BP neural network comprehensive competitiveness evaluation model for the development evaluation of B2B E-commerce enterprises

ABSTRACT In today’s steady development of e-commerce, improving enterprise competitiveness is a major challenge that e-commerce enterprises need to face. There are problems with incomplete and inaccurate evaluation systems in commonly used competitiveness evaluation systems. To address these concerns, the study establishes a model for evaluating business-to-business relationships by analyzing indicators of competitiveness. It also examines the algorithm process and neural network structure and incorporates them into the evaluation model. The experiment shows that through training the back propagation neural network, it is discovered that the mean square error of the samples is 9.9869e-06 when the training frequency reaches 3200, resulting in the completion of convergence of the back-propagation neural network. The utilization of back propagation neural networks to enhance the evaluation model of enterprise competitiveness has yielded positive outcomes. Suggestions have been proposed to improve the competitiveness of diverse e-commerce enterprises. This study can furnish enterprise managers with decision support, enhancing enterprise competitiveness and enabling sustainable development.

Influence Social Media Marketing, Content Marketing And Event Marketing Towards Purchase Intention Mediated By Customer Engagement

The Fast Moving Consumer Good (FMCG) industry, one of Indonesia's main industries which is closely related to the retail sector, and makes a significant contribution to the national economy, especially food and beverages, experienced an increase of 3.6% in the first quarter of 2022. Transformation of the e-commerce business model Currently, it is not only limited to the B2C (business-to-customer) e-commerce business model, but the B2B (business-to-business) e-commerce business model has spread in Indonesia, making it easier for retail businesses to meet their stock needs for goods for sale. In this study, AMOS version 24 was used to process data from 250 respondents and the quota sampling method from five regions and the criteria for respondents using B2B e-commerce applications. The research focuses on looking at the impact of marketing via social media, marketing content and marketing events on customer interests which mediate purchasing intentions. The results showed that marketing via social media and customer presence had a positive and significant effect on purchase intentions, then marketing events had a positive and significant effect on customers. Meanwhile, marketing content and marketing events have no effect on purchase intentions, marketing via social media and marketing content also do not have a positive and significant effect on customers. Meanwhile, the mediating effect of customers is unable to provide a positive and significant influence on marketing via social media and marketing content on the purchase intention of stall or grocery store owners using B2B e-commerce applications.

B2B E-commerce Application Development: Case Study of Implementing Innovative Features to Increase Business Transaction Efficiency PT. Bening's Indonesia

The very rapid development of Information Technology at this time which also directly supports the development of the internet at this time has led to the emergence of new technologies such as social media, artificial intelligence (AI), e-commerce, and other technologies. E-Commerce or electronic commerce is a way to sell and buy goods or services via the internet network. Bening's Distributor Medan SUMUT is one of the partners of a company that operates in the field of selling skincare and body care products and needs for skin and beauty care, namely PT. Bening's Indonesia. The system currently running includes Business to Business and Business to Customer which is done manually via WhatsApp chat so it takes quite a long time, especially for partners or customers who need goods quickly

The Influence Of Sales Promotion And Customer Experience On Purchase Intention Mediated By Customer Satisfaction

The fast-moving consumer goods (FMCG) retail business in Indonesia has been experiencing rapid growth since 2019. With over 3.6 million traditional retailers (warungs), the Indonesian economy has greatly benefited from this industry, with a business potential of up to US$ 58 billions (Maulana, 2022). As digital transformation continues, business owners are increasingly digitizing their operations. The B2B e-commerce model is used to simplify the procurement process for shop owners. The purpose of the research is to examine the impact of Sales Promotions and Customer Experience on Purchase Intention mediated by Customer Satisfaction among AKSESMU digital application users in JABODETABEK. In addition, this research aims to identify the variables that directly or indirectly influence purchase Intention. Data was collected through an online survey using Google Forms from 207 respondents of AKSESMU digital application users in JABODETABEK. The collected data was analyzed using AMOS software version 24. The results indicate that Customer Experience and Customer Satisfaction have a significant and positive impact on the Purchase Intention of AKSESMU digital application in JABODETABEK.

Effects of business to business e-commerce platform-governance mechanisms on seller firms’ performance

The Chinese government’s quinquennial “Internet Plus” plan encompasses big data, cloud computing, and the Internet of Things for a broad range of industries. While the electronic commerce platforms that had segmented the business-to-business (B2B) market jumped at the opportunity to facilitate user firms’ performance, this coerced digitalization also provided sellers with a firm basis for becoming solely profit-seeking and engaging in unethical behavior. Seller firms’ core position is that a B2B e-commerce platform must supervise and manage seller firms to improve their performance. Drawing on symbiosis theory, this study proposes that platform-governance mechanisms (monitoring and community-building) enhance seller firms’ sense of belonging, thus improving relationship satisfaction and increasing seller firms’ performance. This study designs effective governance mechanisms for the B2B e-commerce platform according to its new roles. In addition to its economic role, the B2B e-commerce platform should assume “coordinator” and “supervisor” roles.

Explainable B2B Recommender System for Potential Customer Prediction Using KGAT

The adoption of recommender systems in business-to-business (B2B) can make the management of companies more efficient. Although the importance of recommendation is increasing with the expansion of B2B e-commerce, not enough studies on B2B recommendations have been conducted. Due to several differences between B2B and business-to-consumer (B2C), the B2B recommender system should be defined differently. This paper presents a new perspective on the explainable B2B recommender system using the knowledge graph attention network for recommendation (KGAT). Unlike traditional recommendation systems that suggest products to consumers, this study focuses on recommending potential buyers to sellers. Additionally, the utilization of the KGAT attention mechanisms enables the provision of explanations for each company’s recommendations. The Korea Electronic Taxation System Association provides the Market Transaction Dataset in South Korea, and this research shows how the dataset is utilized in the knowledge graph (KG). The main tasks can be summarized in three points: (i) suggesting the application of an explainable recommender system in B2B for recommending potential customers, (ii) extracting the performance-enhancing features of a knowledge graph, and (iii) enhancing keyword extraction for trading items to improve recommendation performance. We can anticipate providing good insight into the development of the industry via the utilization of the B2B recommendation of potential customer prediction.

Safety in Business-to-Business Online Transactions

Abstract: B2B supply chain funding is a new financial model that aims to make it easier to raise money and improve processes, efficiency, and growth in the supply chain. It is used for online purchases between businesses (B2B), and it is built on the B2B ecommerce platform. For processing and analyzing, you need data on how logistics, business, information, and money move together. Customers who want to take advantage of the speed and ease of e-commerce must not only choose products wisely, but also know and follow all the rules and laws that apply. It is important to avoid getting into trouble with the law. This paper looks at how the B2B platform's online supply chain financial business model creates credit risk and how it works. It then builds a method to reduce risk based on the supply chain financial risk. This article starts by looking at how the B2B platform's online supply chain financial business model creates and operates credit risks. It then builds a system to prevent and control the risks created by this financial business model risk evaluation index system.

Innovation activity and the outcomes of B2C, B2B, and B2G E-Commerce in EU countries

This study quantifies the relationships between innovation activity and the outcomes of business-to-consumer (B2C), business-to-business (B2B), and business-to-government (B2G) e-commerce by companies and the economic development of EU member countries. The relationship of e-commerce with innovation activities and the economic development of countries was evaluated. The analysis input was represented by annual data from the EU from 2013 to 2021, and the indicators of the e-commerce companies (where B2C, B2B, and B2G represent one variable) were classified according to company size. Twelve e-commerce indicators were analyzed in total. The panel regression analysis confirmed that a higher rate of innovation is associated with a higher rate of e-commerce, which, in turn, is associated with a higher rate of economic development in countries. Most of the relationships explored were confirmed. Nevertheless, when specifying them, it is necessary to consider the specifics of B2C and B2B with B2G. The the cluster analysis demonstrated that Bulgaria and Romania are among the countries that should pay more attention to this issue.

First-party content and market concentration on a B2B E-commerce platform – Theory and empirical evidence

In this study, we develop analytical models based on the Cournot competition model to analyze the influence of substitutive first-party content (SFPC) on platform-based market concentration at different complementary first-party content (CFPC) levels. We further use a unique dataset collected from an online B2B E-commence platform to validate our findings. We discover that at a low CFPC level, increased SFPC leads to fewer seller-posted products on the platform and crowds out third-party sellers, making the platform a more concentrated market. When the CFPC level is high, third-party sellers' responses to increased SFPC turn the opposite: they fight back by posting more products on the platform. Consequently, the market becomes less concentrated and more competitive. To our knowledge, this study is among the first to explore the strategic use of SFPC and its influence on market concentration at different CFPC levels in the context of B2B E-commerce platforms.

Developing and validating e-marketplace service quality model in B2G e-commerce settings: a mixed-methods approach

PurposeThe research aims to qualitatively explore e-marketplace service quality (EMSQ) from the perspective of an industrial buyer as a sole decision-maker. It further intends to quantitatively examine its impact on the industrial buyer's perceived value (PV), overall satisfaction (SAT), and e-loyalty (ELOY) in the context of business-to-government (B2G) e-commerce.Design/methodology/approachThe research used an exploratory sequential mixed-method design. A qualitative exploratory study of EMSQ was conducted using a Straussian grounded theory (GT) technique, followed by an explanatory quantitative study using PLS-SEM to evaluate causal links between various research variables.FindingsIn the area of e-services, the investigation found that the hierarchical structure of EMSQ encompasses six broadly applicable dimensions and one B2G context-specific dimension of the e-governance process quality. The study also reinforced previous research findings in the B2C and B2B e-commerce domains, highlighting that e-service quality positively impacts online buyer's PV, SAT and ELOY.Research limitations/implicationsThis research contributed to the area of e-service operations by developing and validating the EMSQ model in the B2G e-commerce settings. Further, it has opened up new research avenues in B2G e-commerce.Practical implicationsThe findings from this research highlighted that e-service operations managers should focus on usability, technological concerns, product/vendor quality concerns, customer support reliability, along with effective e-governance, ordering and logistics processes for e-business success. It also provides policymakers with guidelines for making B2G e-marketplaces sustainable.Originality/valueTo the best of the author's knowledge, this is the first study employing the GT and PLS-SEM techniques to explore EMSQ from the viewpoint of industrial buyers in B2G e-commerce. The study contributed to prior literature by proposing and validating the hierarchical EMSQ model.

A tentative journey to ‘point and click’

Online business-to-business (B2B) sales and marketing have ramped up considerably since the dot-com bust of the early 2000s. With a steady increase in the number of e-commerce platforms over the past 5 years, it would appear that even the chemical industry is headed in the direction of point-and-click buying and selling. It has a long way to go, however. And it is moving slowly. Few were surprised that e-commerce in chemicals failed to fly 20 years ago. In addition to the complicated mix of logistics, pricing, safety, and regulatory concerns involved in buying and selling chemicals, dealmaking in the industry has long hinged on personal relationships. Although lab-chemical suppliers successfully introduced online buying for their research customers, the barriers to establishing Amazon-like storefronts for industrial chemicals seemed insurmountable. That view changed, however, as the industry threw its weight into digitalization programs and the concept of B2B e-commerce evolved toward more

Business Model Innovation with Value Creation Approach in B2B E-Commerce

The rapid development of the digital era accompanied by the COVID-19 pandemic has made many business owners switch from selling offline to selling online. The emergence of the online B2B (Business to Business) marketplace is poised to experience exponential growth in the coming few years. However, ULA as start-up B2B e-commerce in Indonesia experienced decreasing trend for the last 6 months from GMV (Gross Merchandise Value) and active stores. This research is aimed to identify B2B e-commerce challenges and propose business model innovation to create long term revenue for B2B e-commerce in ULA with value creation approach. This research will use primary data which gathered through qualitative interviews and company internal data. The researcher conducted interviews with stall owners and compared the results of the interviews with the C-Level of ULA. All data will be analysed by using business model analysis from Afuah (2014) to identify the root cause of slow growth of ULA in the recent months and using value creation approach from Amit and Zott (2001) to propose business model innovation. There are four value dimensions of value creation in e-business; efficiency, lock-in, complementarities, and novelty, which are coherent with ULA as B2B e-commerce. The results of this study stated that customer segment and value proposition of ULA become had wrong positioned and are the cause of the decline in business performance. ULA B2B-commerce should focus on the strategy used to overcome these problems by leveraging the four sources of value creation and developing business model innovations. This strategy can be implemented by providing workshops and partner assistance for small retailers to improve their economy.

BTD: An effective business-related hot topic detection scheme in professional social networks

Professional social networks (PSNs) usually involve a large amount of valuable information for the business world. A heterogeneous network is constructed based on the structural characteristics of several communities from a PSN. Then, an effective business-related hot topic detection (BTD) scheme in PSNs is proposed, and this BTD scheme extracts business-related topics from posts found on the PSN. Furthermore, a business-related hot topic detection algorithm is proposed by extending the PageRank algorithm based on the heterogeneous network. The performance of the proposed method is evaluated by using real data from a PSN for B2B e-commerce. The experimental results show that the proposed method is able to detect business-related hot topics in heterogeneous networks from three aspects: affiliation relationships between posts and topics, users’ contributions to posts, and following relationships among users. The coverage rate is higher and the degree of distinction is greater than those of existing typical methods.