The Effect of Blockchain on Customer-To-Customer Electronic Commerce

The popularity of the Internet and e-business has led more people to online shopping, especially customer-to-customer (C2C) electronic commerce (e-commerce). However, C2C e-commerce faces challenges such as security, product and vendor trust, and more. One of the most important solutions to such problems is the use of decentralized and distributed technologies such as blockchain, which play an important role in identifying, verifying, and validating data, developing information security, and creating transparency and trust in a business. Therefore, this study uses a qualitative method to investigate the effect of blockchain on C2C e-commerce. After conducting the conceptual study, the experiences of experts in this field were used through semi-structured interviews. The data from the interviews were then coded and analyzed. Finally, 12 conceptual codes were extracted. Due to the high frequency of the transparency code, other concepts were studied around this axis and based on it. According to the results, strategies such as transparency, trust, and legal barriers were more important in using blockchain in C2C e-commerce, respectively

HOW ORGANIZATIONAL CULTURE SHAPES COMPETITIVE STRATEGIES: A COMPARATIVE CASE STUDY OF TWO E-COMMERCE FIRMS IN CHINA

Many well-established multinational firms have been attracted to China by its tremendous market size and fast growing economy. While many have succeeded and enjoyed significant returns on their investments, some have failed and suffered significant financial losses. In the e-commerce market, failures seem to be more frequent than successes. In this study, we attempt to find some answers as to why e-commerce market is especially tough for foreign firms by using a comparative case study in which the epic battle of two giants in Chinese C2C market during 2004-2006 is analyzed. We argue that other things being equal, the local firms have an embedded competitive advantage if the management can transform a better understanding of the national culture into an organizational culture of innovativeness and market responsiveness. Such organizational culture, according to the resourced based view, could have significant impact on the competitive strategies and eventually determine the market performance of the firm

How to Counteract Negative Effect of Adverse Selection in Chinese E-Commerce Market? Comparative Analysis on Credit Scoring System and Guarantee System of TAOBAO

E-commerce transactions have a rapid development because of its convenience and flexibility. However, compared to the traditional market, the e-commerce transaction still could not get rid of information asymmetry between the online sellers and online buyers. Adverse selection problems brought by information asymmetry have negative impact on e-marketing and reduce the efficiency of the online transaction. Now some trading online platforms such as TAOBAO (http://www.taobao.com) are seeking ways to reduce adverse selection. Widely used approaches are credit scoring system and guarantee system. This paper takes transaction data from U disk market in TAOBAO as samples and analyzes the role of credit scoring system and guarantee system in Chinese e-commerce market. The results showed that the credit scoring system and guarantee system can effectively counteract negative effect from the adverse selection problems. Although the credit scoring system has a significant impact on transaction volume; guarantee system has greater impact on the trading volume than the credit scoring systems. In addition, relationship between the guarantee system and credit scoring system are not substitutes but complement for each other. In the case of the existence of the guarantee system, online consumers’ purchase for online goods options is still subject to the impact of the credit scoring system. The paper proposes strategy recommendations to improve credit scoring system and guarantee systems to promote the efficiency of online transactions

Development of an intelligent e-commerce assurance model to promote trust in online shopping environment

Electronic commerce (e-commerce) markets provide benefits for both buyers and sellers; however, because of cyber security risks consumers are reluctant to transact online. Trust in e-commerce is paramount for adoption. Trust as a subject for research has been a term considered in depth by numerous researchers in various fields of study, including psychology and information technology. Various models have been developed in e-commerce to alleviate consumer fears, thus promoting trust in online environments. Third-party web seals and online scanning tools are some of the existing models used in e-commerce environments, but they have some deficiencies, e.g. failure to incorporate compliance, which need to be addressed. This research proposes an e-commerce assurance model for safe online shopping. The machine learning model is called the Page ranking analytical hierarchy process (PRAHP). PRAHP builds complementary strengths of the analytical hierarchy process (AHP) and Page ranking (PR) techniques to evaluate the trustworthiness of web attributes. The attributes that are assessed are Adaptive legislation, Adaptive International Organisation for Standardisation Standards, Availability, Policy and Advanced Security login. The attributes were selected based on the literature reviewed from accredited journals and some of the reputable e-commerce websites. PRAHP’s paradigms were evaluated extensively through detailed experiments on business-to-business, business-to-consumer, cloud-based and general e-commerce websites. The results of the assessments were validated by customer inputs regarding the website. The reliability and robustness of PRAHP was tested by varying the damping factor and the inbound links. In all the experiments, the results revealed that the model provides reliable results to guide customers in making informed purchasing decisions. The research also reveals hidden e-commerce topics that have not received attention, which generates knowledge and opens research questions for future researchers. These ultimately made significant contributions in e-commerce assurance, in areas such as security and compliance through the fusing of AHP and PR, integrated into a decision table for alleviating trustworthiness anxiety in various e-commerce transacting partners, e-commerce platforms and markets.College of Engineering, Science and TechnologyD. Phil. Information System

The Influencing Factors Model of Cross-Border E-commerce Development: A Theoretical Analysis

Cross-border e-commerce (CBEC) is the future trend of cross-border trade. Although China is at the forefront of CBEC development, its transaction volume is still not satisfactory. The purpose of this paper is to study factors influencing the development of CBEC industry from the macro-environment perspective. First, we commented and summarized relevant literature at home and abroad about business ecosystem and factors determining the development of CBEC, then proposed a model of factors influencing CBEC development by combining business ecosystem theory with PEST framework, followed by interpretation and discussion. The model consists of core species, key species, supporting species, parasitic species in the CBEC ecosystem, and they are affected by external environmental factors from political, economic, social and technological perspectives

Managing E-commerce Platform Quality and its Performance Implication: Multiple-Group Structural Model Comparison

This study develops a comprehensive e-service quality measure of e-commerce platforms as intermediaries which considers both the functionality of the website itself, and the performance assessment of independent sellers. The study further investigates the joint impacts of both the attributes of e-commerce platforms and the performance of independent sellers on users\u27 online shopping experience - perceived online transaction value and the ensuing satisfaction. Finally, the study examines the effects of e-service quality on the outcome variables across two major e-commerce platforms as intermediaries, eBay and Amazon. The multiple-group structural model analysis provides important insights to understanding differing impacts of different quality components on shopping experiences across various online marketplaces. Theoretical and managerial implications are discussed

Exploring the factors affecting the use of C2C in Colombia

This study analyses the factors that users of consumer-to-consumer (C2C) commerce value as direct influences in the intention to use and the acceptance of a marketplace. An empirical model is formulated, which integrates three variables that evaluate trust and, in turn, other variables that influence C2C intention and purchases, taking a sample of 686 surveys gathered using the Internet in Colombia. The results show that trust is a fundamental factor in this type of electronic commerce in Colombia, given that C2C users seek intermediation pages with third-party recognition (TPR) and high web quality; similarly, key variables in the adoption of this type of commercial platform include finding low prices and social influence. The perception of trust in this type of electronic commerce is a broader concept that requires the analysis of psychosocial factors. For companies that manage marketplaces, this study allows them to focus on key actions and tools in their websites. This study allowsone to get to know the users of this transactional system, specifically for the Latin American region, highlighting the variables that they most consider when engaging in direct commerce between people. The results show that C2C requires marketplaces that guarantee the necessary conditions for a purchase/sale transaction with trust and quality

Privacy in the Sharing Economy

Contemporary C2C platforms, such as Airbnb, have exhibited considerable growth in recent years and are projected to continue doing so in the future. These novel consumer-to-consumer marketplaces have started to obliterate the boundaries between private and economic spheres. Marketing personal resources online is inherently associated with the disclosure of personal and sometimes intimate information. This raises unprecedented questions of privacy. Yet, there is so far little research on the role of privacy considerations in the sharing economy literature. Leveraging the theoretical perspective of privacy calculus, we address this gap by investigating how privacy concerns and economic prospects shape a potential provider’s intentions to share via different communication channels. We relate privacy concerns back to the provider’s perceptions of the audience. We evaluate our research model by means of a scenario-based online survey, providing broad support for our reasoning

Multisided C2C second-hand fashion applications : how will the fast fashion industry adapt?

With climate change, our planet has been suffering dramatic changes and environmental crises. The fast fashion textile industry plays a significant role, being the third most polluting industry in the world. With this problem, sustainable trends around fashion have gained traction over the years. Supported greatly by these trends, the market for resale fashion has grown, rising 11 times faster than traditional retail into 2025. The second-hand fashion market is forecasted to be twice the size of the fast fashion one by 2030. Multisided C2C second-hand fashion applications follow eCommerce and digital trends having advantages like an easy and userfriendly direct buy-sell online process, more agility and profitability for buyers and sellers, and a wide pool of products and therefore users. This dissertation concluded that multisided C2C second-hand fashion applications are a driver for growth of the second-hand fashion market, as they will be the business model of the future for the market. Since the second-hand fashion market is becoming an important segment of the fashion industry, multisided C2C second-hand fashion applications positively impact the fashion industry in Western Europe growing its value. Furthermore, a scenario analysis showed that the most likely scenario for the evolution of fast fashion, being multisided C2C secondhand fashion applications a prevalent part of the Western European fashion industry, would be maintaining their core business, while adopting brand’s used clothes retake programs where clients would sell back their items to brands gaining store credit or discounts.Com as mudanças climáticas, nosso planeta tem vindo a sofrer mudanças dramáticas e crises ambientais. A indústria do fast fashion desempenha um grande papel neste problema ameaçador, sendo a terceira indústria mais poluente do mundo. Com este problema, as tendências sustentáveis em torno da moda ganharam força ao longo dos anos. Apoiado por essas tendências, o mercado de moda de revenda tem registado um crescimento notável, crescendo 11 vezes mais rápido do que a moda tradicional até 2025. O mercado em segunda mão tem previsão de duplicar o fast fashion em 2030. Multisided C2C second-hand fashion applications seguem tendências como o eCommerce e a digitalização, tendo vantagens como, um processo online de compra e venda direta entre clientes fácil e user-friendly, mais agilidade e lucratividade para os usuários e uma ampla pool de produtos e clientes. Concluímos que as aplicações multisided C2C second-hand fashion applications são um impulsionador do crescimento do mercado em segunda mão, uma vez que serão o modelo de negócio do futuro. Segunda mão está a tornar-se um grande segmento, as multisided C2C second-hand fashion applications impactam positivamente a indústria na Europa Ocidental, aumentando seu valor. A análise de cenário realizada mostrou que o cenário mais provável para a evolução do fast fashion, sendo as Multisided C2C second-hand fashion applications uma parte predominante da indústria, será manter seu core business, mas adotar programas de retomada de roupa da marca onde os clientes vendem seus itens de volta às marcas em troca de crédito ou descontos na loja

CHINESE E-COMMERCE MODEL: Using ALIBABA as a case study

This report aims to analyze Alibaba’s e-commerce mode. With the development of internet technology, e-commerce is attracting more and more attention from governments, businesses and individuals which is one of the major reasons for Alibaba’s quick development. The author has seen the importance of e-commerce and important role of Alibaba in e-commerce field. This report will start by introducing Alibaba briefly. And then the major theories and concepts used by the report will be analyzed, especially e-commerce, PEST framework and Porter’s five forces model. In addition, details of Alibaba’s e-commerce mode, problems of its mode will be provided in the following paragraph. Based on this situation, several suggestions will help Alibaba to resolve its problems. Literature review, theoretical research and practical analysis are two major approaches to analyze its e-commerce mode. In this way, Alibaba can make further progress in the future