搜搜考试网翻译一篇论文（拒绝翻译软件）有点长啊 2
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翻译一篇论文（拒绝翻译软件）有点长啊 2
1. Introduction
Information technology usage has long been of interest to researchers in the information systems (IS) field (Davis 1989; Venkatesh et al. 2003). Based on the work by Davis (1989) and others, past information system research has largely sought to explore how users come to adopt a particular information system. However, IS adoption is just the first step toward IS success. Usage behavior, commonly labeled as post-implementation (Saga and Zmud 1994) or post-adoption (Jasperson et al. 2005), is at least equally important to attaining information technology implementation success. Aside from focusing on adoption and post-adoption, past IS research has also been conducted under the implicit assumption that IS usage is mainly determined by intention. While plausible in the case of initial IS adoption, this assumption may not be applicable to post-adoption usage behavior as it ignores that frequently performed behaviors tend to become habitual, and thus automatic over time (Ouellette and Wood 1998, Limayem et al. 2007). As argued by Aarts and Dijksterhuis (2000), in reality, the majority of human behavior is executed in a routine basis. The better part of the behavioral repertoire is frequently exhibited in recurring physical and social environments and has thus taken on a habitual character.
Some researchers have focused on habitual usage. Limayem and Hirt (2003) analyzed the effects of habits on information systems usage and found that, along with intentions, an individuals’ habits play an important role in explaining and predicting usage behavior. Cheung and Limayem (2005) studied the role of habit in information systems continuance, and found the moderating effect of habit on the relationship between intention and IS continued usage. Kim et al.(2005) made a comparison between two perspectives on habitual usage: the habit/automaticity perspective (HAP) and the instant activation perspective (IAP). Using a survey of online news reading, Kim et al. (2005) found the habit/automaticity perspective to be a more robust depiction of IS habit. Surprising, little research has scrutinized determinants of individual information technology usage habit.
1. Introduction
Information technology usage has long been of interest to researchers in the information systems (IS) field (Davis 1989; Venkatesh et al. 2003). Based on the work by Davis (1989) and others, past information system research has largely sought to explore how users come to adopt a particular information system. However, IS adoption is just the first step toward IS success. Usage behavior, commonly labeled as post-implementation (Saga and Zmud 1994) or post-adoption (Jasperson et al. 2005), is at least equally important to attaining information technology implementation success. Aside from focusing on adoption and post-adoption, past IS research has also been conducted under the implicit assumption that IS usage is mainly determined by intention. While plausible in the case of initial IS adoption, this assumption may not be applicable to post-adoption usage behavior as it ignores that frequently performed behaviors tend to become habitual, and thus automatic over time (Ouellette and Wood 1998, Limayem et al. 2007). As argued by Aarts and Dijksterhuis (2000), in reality, the majority of human behavior is executed in a routine basis. The better part of the behavioral repertoire is frequently exhibited in recurring physical and social environments and has thus taken on a habitual character.
Some researchers have focused on habitual usage. Limayem and Hirt (2003) analyzed the effects of habits on information systems usage and found that, along with intentions, an individuals’ habits play an important role in explaining and predicting usage behavior. Cheung and Limayem (2005) studied the role of habit in information systems continuance, and found the moderating effect of habit on the relationship between intention and IS continued usage. Kim et al.(2005) made a comparison between two perspectives on habitual usage: the habit/automaticity perspective (HAP) and the instant activation perspective (IAP). Using a survey of online news reading, Kim et al. (2005) found the habit/automaticity perspective to be a more robust depiction of IS habit. Surprising, little research has scrutinized determinants of individual information technology usage habit.
有翻译软件我都不用,这么麻烦,却这么点分