Extended technology acceptance model of Internet utilization behavior

Shih, Hung-Pin

doi:10.1016/j.im.2003.08.009

Cited by 322 publications

(243 citation statements)

References 43 publications

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“…There were seven dimensions that accommodate the technology acceptance construct: attitude, computer self-efficacy, perceived usefulness, perceived ease of use, computer compatibility, job relevance and subjective norm. The items in the technology acceptance constructs were adapted from prior studies using the technology acceptance model applications, many which have already established their reliability and validity [4,32,30,33,34,21] .…”

Section: Methodsmentioning

confidence: 99%

“…The technology acceptance model is a well-known model for predicting and explaining individual behavior on the usage of information technology [30] . However, to the researchers' knowledge after a thorough search on all the available databases and local and foreign journals, no studies pertaining to computer usage among MSE school teachers had been carried out in Malaysia using the extended technology acceptance model as the foundation for theoretical framework.…”

Section: Introductionmentioning

confidence: 99%

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Predictors of Technology Deployment Among Malaysian Teachers

Kumar¹,

Rose²,

Alby³

2008

American J. of Applied Sciences

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Technologies advocate researchers had identified a number of factors that affect individual teachers' usage of computers. Nevertheless mix results were reported in literature. Hence, this study used personal characteristics and the technology acceptance constructs to understand the Actual Usage of Computer (AUC) among Malaysian teachers. The final model derived from this study was able to explain and predict approximately 54.5% of the variance in AUC. There were five variables significantly predicts the AUC and the strongest among them is perceived ease-of-use, followed by perceived usefulness, job relevance, computer compatibility and attitude. It is believed that the findings of this study would add new perspective on understanding the complexities associated with computer and learning among teachers.

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Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Predictors of Technology Deployment Among Malaysian Teachers

Kumar¹,

Rose²,

Alby³

2008

American J. of Applied Sciences

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“…In light of these facts, especially the difficulty of objectively measuring performance, IS researchers have used these models as surrogate measures to predict users behaviours and IS successes in various types of IS environments and business organizations [35]. For that reason, research on extending, integrating and replicating these models and constructs has been appearing in the IS literature [18], [32].…”

Section: Literature Reviewmentioning

confidence: 99%

Evaluating the impact of information systems on end user performance: A proposed model

Abugabah¹,

Sanzogni²,

Alfarraj³

2010

IJACSA

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Abstract-In the last decades, information systems (IS) researchers have concentrated their efforts in developing and testing models that help with the investigation of IS and user performance in different environments. As a result, a number of models for studying end users' systems utilization and other related issues including system usefulness, system success and user aspects in business organizations have appeared. A synthesized model consolidating three well-known and widely used models in IS research is proposed.Our model was empirically tested in a sophisticated IS environment investigating the impacts of the enterprise recourse planning (ERP) systems on user perceived performance. Statistical analysis was performed including factors analysis and regression to test the model and prove its validity. The findings demonstrated that the proposed model performed well as most factors had direct and or indirect significant influences on user perceived performance suggesting therefore that the model possesses the ability to explain the main impacts of these factors on ERP users.

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“…For online businesses, earning consumers' trust means understanding their expectations for trust and their beliefs regarding the e-tailers' trust-related characteristics (McKnight and Chervany 2002). E-commerce firms must convince consumers to believe that they will treat consumers fairly (Gefen, Karahanna, and Straub 2003;Shih 2004). Attitude towards the store and trust have been positively linked (Jarvenpaa, Tractinsky, and Saarinen 1999;van der Heijden, Verhagen, and Creemers 2003).…”

Section: Trustmentioning

confidence: 99%

“…Trust in companies websites and online retailers is a key factor in the customer's sense of satisfaction from online transactions (Chen and Barnes 2007;Gefen and Straub 2004;Pavlou 2003). If customers trust e-tailers, they believe that e-vendors will treat them fairly and not behave opportunistically (Gefen, Karahanna, and Straub 2003;Shih 2004). Hence, online trust is an important determinant of success in the e-marketplace.…”

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confidence: 99%

Investigating E-Servicescape, Trust, E-WOM, and Customer Loyalty

Tran

Strutton

2016

Celebrating America’s Pastimes: Baseball, Hot Dogs, Apple Pie and Marketing?

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titles.Old Spice cleverly used a handsome actor to play the Old Spice Man character for a Super Bowl commercial in 2010. After the game, this Old Spice commercial was viewed more than 13 million times on YouTube, a social media video-sharing site. This viral marketing campaign, also known as electronic word-of-mouth (E-WOM), propelled the Old Spice brand into the forefront of consumers' minds, increased brand awareness, and inspired people to share the video links with their family, friends, and co-workers.The rapid growth of E-WOM is an indication of consumers' increased willingness to convey marketing messages to others. However, despite this development, marketing academics and practitioners do not fully understand this powerful form of marketing. This dissertation enriches our understanding of E-WOM and how e-servicescape may lead to E-WOM. To that end, stimulus-organism-response theory and the network co-production model of E-WOM are applied to investigate the relationships between e-servicescape, trust, E-WOM intentions, customer loyalty, and purchase intentions. Two forms of E-WOM were examined, namely emails and social network postings. E-servicescape is defined as the online environmental factors of a marketer's website. E-servicescape is composed of three main dimensions, including aesthetic appeal, financial security, and layout and functionality. This study used cross-sectional customer data from a single e-tailer. Structural equation modeling was used to analyze the responses. Customer reviews was added as an additional subdimension of e-servicescape. The findings suggest e-servicescape positively impacts trust, which in turn positively influences E-WOM and customer loyalty. Moreover, two groups of customers were compared using multi-group analysis, where one group of users received emails and the other group received social network postings from the same e-tailer. Overall, the results indicated emails had a stronger impact on e-servicescape, E-WOM, and customer loyalty. Social networking site postings had slightly greater influence on trust, and two sub-dimensions of eservicescape, i.e., interactivity and ease of payment.These findings contribute to the marketing research on E-WOM theory and electronic commerce shopping behavior. In particular, the sub-dimension of customer reviews is added to e-servicescape. This study yields practical implications for marketers in understanding consumers' perceptions of websites and how to better design sites. In addition, these findings add to knowledge on how to engender consumers' trust and customer loyalty online. Finally, this research provides suggestions for firms wanting to create marketing campaigns that will lead to E-WOM. Overview of E-WOM E-WOM is defined as "forwarding actions through email, instant messaging or other communication media that are of high 'addressability'" (Ho and Dempsey 2010, p. 1000). E-WOM communication is traditional word-of-mouth (WOM) behavior evolved and adapted to electronic media, where individuals often convey messages in...

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Extended technology acceptance model of Internet utilization behavior

Cited by 322 publications

References 43 publications

Predictors of Technology Deployment Among Malaysian Teachers

Predictors of Technology Deployment Among Malaysian Teachers

Evaluating the impact of information systems on end user performance: A proposed model

Investigating E-Servicescape, Trust, E-WOM, and Customer Loyalty

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