IntroductionNowadays, the web increasingly influences retail sales. An in-depth analysis of consumer decision-making in the context of e-business has become an important issue for internet vendors. However, factors affecting e-business are complicated and intertwined.Case description To stimulate online sales, understanding key influential factors and causal relationships among the factors is important. To gain more insights into this issue, this paper introduces a hybrid method, which combines the Decision Making Trial and Evaluation Laboratory (DEMATEL) with the analytic network process, called DANP method, to find out the driving factors that influence the online business mostly.Discussion and EvaluationBy DEMATEL approach the causal graph showed that “online service” dimension has the highest degree of direct impact on other dimensions; thus, the internet vendor is suggested to made strong efforts on service quality throughout the online shopping process.ConclusionsIn addition, the study adopted DANP to measure the importance of key factors, among which “transaction security” proves to be the most important criterion. Hence, transaction security should be treated with top priority to boost the online businesses. From our study with DANP approach, the comprehensive information can be visually detected so that the decision makers can spotlight on the root causes to develop effectual actions.

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The purpose of this study was trying to explore the influence and relationship between knowledge transfer usefulness, management, initiative, and innovation. The instrument was constructed through literature review and related research scales. Total 26 items were retrieved from related study and modified dependent on exports' recommendations. Total 1,012 valid data were collected based on judgment sampling. The Cronbach's a of instrument was ranged from .878 to .948. The construction validity test was passed. The analysis result shows that knowledge management play strong partial mediator role between knowledge transfer usefulness and knowledge innovation, meanwhile, knowledge transfer usefulness was also the important predictor to knowledge innovation. Hence, the proactive knowledge transfer has moderation effects between knowledge management and knowledge innovation. The research model was established and some conclusions and suggestions were discussed base on the research findings.

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