Online support for commerce processes by web retailers
Decision Support Systems
Selection of web sites for online advertising using the AHP
Information and Management
An empirical study on predicting user acceptance of e-shopping on the Web
Information and Management
Adopters and non-adopters of business-to-business electronic commerce in Singapore
Information and Management
Electronic commerce adoption: an empirical study of small and medium US businesses
Information and Management
Beyond concern: a privacy-trust-behavioral intention model of electronic commerce
Information and Management
What drives mobile commerce? An empirical evaluation of the revised technology acceptance model
Information and Management
A study on decision factors in adopting an online stock trading system by brokers in Taiwan
Decision Support Systems
Pricing strategies in B2C electronic commerce: analytical and empirical approaches
Decision Support Systems
Electronic Commerce Research and Applications
Key factors in forming an e-marketplace: An empirical analysis
Electronic Commerce Research and Applications
E-Commerce in China: The case of travel
International Journal of Information Management: The Journal for Information Professionals
Upstream supply chain benefits from e-markets in the UK higher education sector
International Journal of Business Information Systems
Rank B2C e-commerce websites in e-alliance based on AHP and fuzzy TOPSIS
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Hi-index | 12.06 |
Since implementing B2B e-commerce in small and medium enterprises (SMEs) is a long-term commitment and such enterprises are more limited in terms of resources than large enterprises, the predicted value of successful implementation is extremely useful in deciding whether to initiate B2B e-commerce. This investigation establishes an analytical hierarchy framework to help SMEs predicting implementation success as well as identifying the actions necessary before implementing B2B e-commerce to increase e-commerce initiative feasibility. The consistent fuzzy preference relation is used to improve decision-making consistency and effectiveness. A case study involving six influences solicited from a Taiwanese steel company is used to illustrate the feasibility and effectiveness of the proposed approach. The analytical results show that the three most influential factors are management support, industry characteristics and government policies; meanwhile, the three least influential factors are organizational culture, IT integration and firm size.