B2B E-commerce Platform 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.

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.

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.

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.

Sustainable multi-products delivery routing network design for two-echelon supplier selection problem in B2B e-commerce platform

This paper examines the environmental impact produced by multi-vehicle transportation on a sustainable supply chain (SC) network. The relevance of green principles is gaining momentum day by day, which has forced the governments to introduce carbon emission schemes for the transportation associated with the firms. Various countries around the globe are introducing carbon-pricing schemes, in which a carbon tax is imposed based on the amount of anthropogenic emissions. A firm, which sets environmental standards for the emission associated with its operational activities, should design a transportation network based on the trade-off between its economic efficiency and the carbon emission. In this paper, the main focus is to design a sustainable supply chain network. A mixed-integer-non-linear-programming (MINLP) model is formulated to minimize the overall cost incurred in a multi-vehicle, multi-product sustainable transportation network. The meta-heuristic approach i.e., Hybrid Chemical Reaction Optimization Algorithm with Tabu search (CRO-TS) and LINGO solver have been used to solve the proposed model. This analysis can guide the government to encourage the logistics service providers to capitalize on anthropogenic gas emission systems and simultaneously design the tax policy on carbon emission.

The Prevention of Financial Legal Risks of B2B E-commerce Supply Chain

B2B supply chain finance is a new type of financial model, which is created to help companies raise funds and promote the production, operation, and development of companies in the supply chain. Based on the B2B e-commerce platform, it is used for online transactions and transactions between companies and companies. Information, integrating logistics, business flow, information flow, and capital flow for data analysis and processing. When people enjoy convenient and fast e-shopping, they must not only choose products carefully but also understand and be familiar with the relevant laws and regulations of shopping on the Internet. Avoiding potential legal risks is a key factor. The purpose of this article is to analyze the financial risks of the B2B e-commerce supply chain, according to the current Internet development trend, study the legal risks of the B2B e-commerce supply chain in the development, put forward corresponding recommendations, and build a relevant system to reduce risks. Combining some current legal issues faced by e-commerce, this article first analyzes the generation and operation mechanism of credit risk under the B2B platform online supply chain financial business model; then, based on the supply chain financial risk, a relevant system is constructed to reduce risks. This article first analyzes the generation and operation mechanism of credit risk under the online supply chain financial business model of the B2B platform; then, based on the supply chain financial risks, construct a system that can prevent and control the risks generated under this financial business model risk evaluation index system; finally, the KMV model and case are analyzed to verify whether this risk evaluation research is effective for supply chain financial risks. The experimental results show that through the KMV model, comparing the two sets of data, the default distance of most default groups is smaller than that of the normal group. It can be seen that the greater the default distance, the smaller the credit risk. When the default point coefficient is 0.85, use the KMV model which is most obvious when judging the company’s overall probability of default.

Sustainable Logistics Network Design for Delivery Operations with Time Horizons in B2B E-Commerce Platform

In the recent era, the rapidly increasing trend of e-commerce business creates opportunities for logistics service providers to grow globally. With this growth, the concern regarding the implementation of sustainability in logistic networks has received attention in recent years. Thus, in this work, we have focused on the vehicle routing problem (VRP) to deliver the products in a lesser time horizon with driver safety concern considerations in business (B2B) e-commerce platforms. We proposed a sustainable logistics network that captures the complexities of suppliers, retailers, and logistics service providers. A mixed-integer nonlinear programming (MINLP) approach is applied to formulate a model to minimize total time associated with order processing, handling, packaging, shipping, and vehicle maintenance. Branch-and-bound algorithms in the LINGO optimization tool and genetic algorithm (GA) are used to solve the formulated mathematical model. The computational experiments are performed in eight different case scenarios (small-sized problem to large-sized problem) to validate the model.

Sustainable logistics network design for multi-products delivery operations in B2B e-commerce platform

Sustainable logistics network design for multi-products delivery operations in B2B e-commerce platform

Buyer-supplier matching in online B2B marketplace: An empirical study of small- and medium-sized enterprises (SMEs)

Mitigating perceived uncertainty and risk is critical for successful exchanges in an online B2B marketplace. However, scant empirical research has been devoted to the topic, and even less to small- and medium-sized enterprises (SMEs). We investigate the use of quality signals and recommendations to foster buyer-supplier matching in an online B2B marketplace of SMEs. Unique proprietary data from a leading B2B e-commerce platform suggest that such a matching is significantly related to signals of SME buyers' quality and credibility embedded in how projects are described. Moreover, appropriately designed recommendation system can increase the matching rate because it helps reduce buyers' information overload. This research highlights the importance of integrating online channel data with traditional offline channel data to accurately assess the drivers of buyer-supplier matching. Our findings provide valuable insights into how to design and manage an online B2B marketplace for SMEs to yield more successful matches.

ОСОБЛИВОСТІ ІНТЕРНЕТ-ПРОДАЖІВ В B2B-СЕКТОРІ

All successful people in B2B business have one thing in common they understand their competitive advantages and effectively use digital tools to support them. Still, also you will truly easily lose guests, if your website can’t separate you from the competition. The B2B business world is huge and easily different, but ultimate of the features of a B2Be-commerce or business operation platform are truly similar. To offer the perfect customer experience and make it easier for others to do business with you, you need commerce platform with features erected specifically for the B2B sedulity. To successfully meet the conditions of their online shoppers and succeed in their competitive requests, B2B merchandisers must equip their online stores with a number of pivotal B2B ecommerce features. Features are the base for a great B2B experience. With the rapid-fire growth of B2Be-commerce demand, businesses are getting more habituated to online shopping and are getting more demanding when it comes to B2B networks. Whether you run a B2B business, upgrade a website, scrap it, or have preliminarily used the B2Be-commerce platform, make sure you can support all the B2B capabilities that this composition provides. The future off-commerce in the B2B sector is clear B2Be-commerce is the main deals channel for digital commerce. Changes in paperback gets caused by the epidemic will drive further relinquishment beyond 2021. Forrester predicts that B2Be-commerce deals will exceed$1.8 trillion by 2023, counting for 17 of all B2B deals in the United States. Of course, dispatch and phone calls continue to be in the B2B business. Still, there’s no mistrustfulness about it-e-commerce is pushing the boundaries of what B2B deals can be. This is great news for B2B merchandisers because buyers change. Nearly 73 of millennials generations raised on technology-are now engaged in the B2B buying process. These new shoppers anticipate convenience and applicability further than their Baby Boomer and Gen X counterparts. Individualized deals doors, mobile bookings, stoked reality tenures, tone- service features-B2B platforms continue to pave the way for cost-effective and affordable deals openings. The rise of B2B ecommerce isn’t only an epidemic trend. Buyers and merchandisers are moving to digital commerce because it streamlines operations and increases effectiveness. And this trend will continue until 2021 and further. While numerous people suppose that a B2B ecommerce platform is just a tool for listing products and accepting payments, true is more. It acts as a command center where you control everything from deals to marketable operations, whether for B2B and noncommercial guests or the D2C website. The composition examines the introductory tools of Internet marketing in the field of B2B, which are effective in promoting products by artificial enterprises. It’s determined that B2B Internet deals have their own features and for direct connections with implicit mates you need to use an optimized point and web analytics. The paper presents an algorithm for establishing commerce between buyer and dealer, considers the main deals channels of the B2B terrain and describes the problems faced by entrepreneurs in the B2B request. Also in the work the factual deals channels of B2B products are substantiated, the algorithm of decision- making on the company’s access to the Internet terrain is given and the failings of B2B Internet deals are considered. The results of the exploration can be useful in, which operate in conditions of high variability of business terrain factors.

Study on the influencing of B2B parasocial relationship on repeat purchase intention in the online purchasing environment: An empirical study of B2B E-commerce platform

With the meteoric progress of digital technology and the advent of network economy, there has been increasing interest in the business model of purchasing with B2B network among B2B e-commerce platforms and customer firms. Based on the perspective of parasocial relationship and dual-process theory, this study constructs a model of cognitive and emotional influences on customer firms' behavior, and analyzes the influence of features of entrepreneur endorser and online purchasing platform on B2B parasocial relationship, and how this relationship can affect repeat purchase intention. Furthermore, this paper examines the moderating effect of trust in the relationship between B2B parasocial relationship and repeat purchase intention. Findings indicate that perceived interactivity and trustworthiness of entrepreneur endorser and the service and product quality of online purchasing platform have a positive impact on B2B parasocial relationship. B2B parasocial relationship has a significant and positive impact on repeat purchase intention, while trust moderates the relationship between B2B parasocial relationship and repeat purchase intention.

An integrated online pick-to-sort order batching approach for managing frequent arrivals of B2B e-commerce orders under both fixed and variable time-window batching

The emergence of e-commerce marketplace, especially the business-to-business (B2B) e-commerce sector, has created a vast market opportunity for retailers and logistics service providers (LSPs). However, facing the structural changes in B2B logistics orders, without any transformation of logistics operating process in distribution centres, LSPs are experiencing serious challenges in handling B2B e-commerce orders. In order for LSPs to grasp the market pie of the logistics and distribution sector of the e-commerce business through improving the core capability of handling B2B e-commerce order in their distribution centres, this paper proposes a novel approach for LSPs to systematically execute B2B order pre-processing so that the B2B e-commerce orders are better managed. An intelligent B2B order handling system (IOHS) is developed for efficient management of discrete, frequently arrived B2B e-commerce orders. By applying the “warehouse postponement” concept through the development of IOHS integrating cloud database management, fuzzy logic, and genetic algorithm approach, B2B order grouping solutions are effectively generated. A case study is conducted in a Hong Kong-based logistics service provider who handles outsourced B2B e-commerce orders, indicating the feasibility of the proposed solution to facilitate e-order fulfilment under both fixed and variable time-window batching settings in distribution centres. A significant improvement in terms of the throughput rate of handling B2B e-commerce order in the distribution centre is found, thereby increasing the satisfaction of buyers and sellers throughout the order handling and delivery process, as well as facilitating LSPs’ capability to manage a larger number of orders received from B2B e-commerce platform, given the greater product exposure of sellers in today’s B2B e-business.

How does customer orientation (in)congruence affect B2B electronic commerce platform firms' performance?

Business-to-business (B2B) electronic platforms have become important channels for transforming traditional modes of transaction. The success of these platforms relies heavily on the platform firms' customer orientation (CO) practices, which are designed to attract both sellers and buyers. This study draws on the cross network effect theory to explore whether and how a B2B e-commerce platform firm's (in)congruent CO strategic initiatives toward sellers or buyers affect the firm's performance. In addition, the moderating effects of seller-side and buyer-side demand uncertainty on the relationship between CO (in)congruence and platform firm performance are investigated. The analysis of data collected from 185 B2B electronic platform firms in China reveals that CO incongruence is more beneficial to firm performance than CO congruence. Furthermore, when seller-side demand uncertainty is high, an increase in seller-focused CO incongruence (i.e., higher seller orientation than buyer orientation) or buyer-focused CO incongruence (i.e., lower seller orientation than buyer orientation) improves or impedes a B2B e-commerce platform firm's performance, respectively. However, when buyer-side demand uncertainty is high, an increase in either type of CO incongruence does not improve firm performance. These findings contribute to the literature on and practices of B2B e-commerce and customer orientation.

Design of B2B E-commerce Platform Based on SOA Architecture

With the rapid development of information technology and computer networks, internnet-based e-commerce has also emerged, and has achieved tremendous development in recent years. Most enterprise systems are developed based on heterogeneous platforms and different information standards. The interaction and integration between enterprises is very difficult, and the traditional distributed architecture can not solve the current needs. Service-oriented architecture is a new generation of distributed software architecture that solves the above problems. As a new generation of distributed software architecture, it not only improves the reusability of software, but also achieves good scalability. This paper uses the SOA architecture to design the e-commerce platform, and designs the interface service to realize the service composition of the e-commerce platform.

The Evaluation of SMEs Credit Risk Supply Chain Finance Based on the Third-party B2B E-commerce Platform

As the frontal field of the supply chain finance，supply chain finance based on the third-party B2B e-commerce platform makes financial institutions such as banks face increased risk. Based on this financing mode，this paper sets up the evaluation index system of SMEs and builds the evaluation model including entropy method，AHP and fuzzy TOPSIS based on the left and right scores. Next the paper takes the SMEs as sample to conduct the empirical study which are financing by this means and sorts it by the credit risk, testing the practicability of the model and providing the basis for financial institutions such as banks in selecting target customers.

The Research of Third-party B2B Supply Chain Finance Credit Risk Identification & Evaluation System

With the development of Internet technology, many banks in China launched the “Internet+” supply chain financial services. The optimizing of Supply chain financial structure not only solves the problem that small and medium-sized enterprises financing of convenience and high threshold of loan, but also improves the loan efficiency of the supply chain financial services which achieves a new level and the degree of the participants of the supply chain collaboration. Due to Third-party B2B cooperation mode of supply chain financial services emerging in endlessly, Banks take advantage of the cumulative credit data from Third-party B2B e-commerce platform to issue credit loan and dynamically monitor the credit conditions of small and medium-sized enterprises. Which provide a new solution to long-term information asymmetry problem of supply chain finance service. But the credit risk identification and evaluation change a lot in new service mode. According to analyzing the supply chain finance credit risk changes as result of the evolution from supply chain financial to third-party B2B supply chain finance, this paper contract and analyze the traditional and modern credit risk assessment model. On the basis of above contraction and following the principle of credit risk evaluation index system, this paper build the index system of electronic warehouse financing mode and select the grey evaluation model as the third-party B2B supply chain finance business credit risk assessment model. Multi-level grey credit risk assessment method based on Theil disequilibrium index is used to make comprehensive evaluation on enterprise credit. It can get the evaluation value of the enterprise to judge the enterprise credit rating. This method provide more detailed evaluation method of the third-party B2B supply chain finance business for the banks.

Strategic IT investment in B2B e-commerce platform on user loyalty: considering variable investment cost

In the competitive market of B2B e-commerce platform, the early entrants have the advantage of switching cost while the late entrants have the advantage of declining information technology (IT) cost. Considering the variable investment cost due to the improvement of platform quality, the paper develops an IT investment model to investigate the best investment strategy for B2B e-commerce platform under the impact of switching cost, declining IT cost, price-sensitive coefficient and quality-sensitive coefficient. Results show that switching cost helps early entrants increase investment in platform quality, assume an aggressive investment strategy. Declining IT cost helps late entrants increase investment in platform quality and assume an aggressive investment strategy only when switching costs are lower. With the increase of price-sensitive coefficient, early entrants and late entrants should both decrease investment in platform quality. With the increase of quality-sensitive coefficient, early entrants and late entrants should both increase investment in platform quality.

Strategic IT investment in B2B e-commerce platform on user loyalty: considering variable investment cost

Strategic IT investment in B2B e-commerce platform on user loyalty: considering variable investment cost

Study on the Value Creation of New B2B Platform —— Based On the Case of GongChang.com

Although B2B e-commerce platform has become an important driving force for economic development, its theoretical research is still at the producer-centric stage, which lags far behind the user-centric reality. A new generation of B2B e-commerce platform has four roles, including value driver, value diggers, value supplier and value providers and they create the value ecosystem synergistically. At the same time, it implements value creation mainly through the following three ways including “information symmetry + information mining”, “network effects + open platform for integration” and “cooperative competition + incremental income”, and achieves a virtuous circle of the value ecosystem. The development of a new generation of B2B e-commerce platform is to achieve win-win situation and build industry ecosystem.

Efficient intermodal transportation auctions for B2B e-commerce logistics with transaction costs

We propose efficient intermodal transportation auctions for the B2B e-commerce logistics problem (ELP). This paper is among the first to consider transaction costs into auctions. In the ELP, the shipper is a B2B e-commerce platform by which a number of online orders between goods sellers and buyers are generated, and 3PLs (third-party logistics providers) can fulfill these online orders. The shipper bears transaction costs while goods sellers or buyers eventually pay intermodal services. We extend both Vickrey–Clarke–Groves (VCG) auction and primal–dual Vickrey (PDV) auction to the ELP where total logistics chain cost is minimized. The VCG-like auction realizes incentive compatibility, allocative efficiency, individual rationality, and budget balance for general valuations; while the PDV-like auction need presume the condition of seller-submodularity, which implies that the effect of each 3PL is decreasing when coalition increases. Computational results show that incorporating transaction costs leads to considerable cost saving for the shipper, shipper’s group (that consists of the shipper herself, good sellers and buyers), and the logistics chain, as well as higher profitability for the group of 3PLs. As the variance of transaction costs increases, incorporating transaction costs leads to higher cost saving for the entities that matter to the shipper (i.e., herself, her group, and the logistics chain), and higher profitability for the group of 3PLs, regardless of valuation distribution type. Finally, we investigate the impact of self-interested shipper and the impact of the gap between intermodal service costs and transaction costs.