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Consumers often act on information that is less thancomplete and far from perfect. As a result, they areoften faced with at least some degree of risk oruncertainty in their purchasing decisions. However, riskis not the only factor consumers are sensitive to in thecontext of an Internet purchase; the perceived benefitprovides consumers with an incentive for purchasebehavior [137]. Combining perceived risk and perceivedbenefit, Tarpey and Peter [119] provided avalence framework which assumes that consumersperceive products as having both positive and negativeattributes, and accordingly consumers make decisionsto maximize the net valence resulting from the negativeand positive attributes of the decision. This frameworkis consistent with Lewin's [89] and Bilkey's [17,18]theories, which provide a theoretical framework for thisstudy.2.1.1. Purchase and intention to purchaseDrawing on the Technology Acceptance Model [45],Theory of Reasoned Action (TRA) [51], and Theory ofPlanned Behavior [5], many e-commerce studies haveshown that consumer intentions to engage in onlinetransactions are a significant predictor of consumers'actual participation in e-commerce transactions [116].The relationship between intention and behavior isbased on the assumption that human beings attempt tomake rational decisions based on the informationavailable to them. Thus, a person's behavioral intentionto perform (or not to perform) a behavior is theimmediate determinant of that person's actual behavior[3]. Based on the intention–behavior relationship, weargue that behavioral intention, or more specificallyintention to purchase (INTENTION) from a certainvendor through the Web, is a predictor of a consumer'sactual behavior or purchase decision (PURCHASE).2Therefore:Hypothesis 1. A consumer's intention to purchase(INTENTION) through a vendors' Website positivelyaffects the purchase decision (PURCHASE).
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