The Technology Acceptance Model: Past, Present, and Future

Lee, Younghwa; Kozar, Kenneth A.; Larsen, Kai R.

doi:10.17705/1cais.01250

Cited by 1,362 publications

(1,294 citation statements)

References 125 publications

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“…= not significant system (e.g., usefulness) in the eCRM context. In fact, the previous TAM studies results for the link between PEoU and PU were about 70% significant (69 out of 101 studies) due to different contexts [38]. Our study adds to the previous studies and shows that in the context of eCRM (and also to a new generation of users in the age range of 20 to 35 in our sample), the link between PEoU and PU does not exist.…”

Section: <001contrasting

confidence: 47%

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Investigating antecedents of technology acceptance of initial eCRM users beyond generation X and the role of self-construal

Chen

Kazman

2007

Electron Commerce Res

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eCRM (electronic Customer Relationship Management) systems focus on using the web-site as the main interaction channel for businesses to simulate an old fashioned one-to-one direct relationship-high touch-with customers. In this research two distinct but related concepts, media richness from the Human Computer Interaction and Computer Mediated Communication fields and perceived interactivity from the Marketing and MIS fields, are disentangled and their unique impacts on technology acceptance variables are examined in the eCRM Acceptance Model. The present study contributes in extending the Technology Acceptance Model for the eCRM context and in establishing media richness and perceived interactivity as antecedents to perceived usefulness and perceived ease of use. Our research model integrates system perception (e.g., perceived usefulness and perceived ease of use) and subjective outcome measures (e.g., decision satisfaction) in a single model to fully understand the impact of eCRM "touch" design perceived by e-customers on their intention to return after the initial visit. An experimental survey of two culture groups (independent vs. interdependent self-construal) of technology savvy, young college students reveals that culture value-orientation (e.g., self-construal) moderates the effect of decision satisfaction on behavior intention to return in our eCRM Acceptance model. Findings of this research thus have significant theoretical and managerial implications.

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Section: <001contrasting

confidence: 47%

“…This prediction has been validated by many TAM-related studies (e.g. [38] and [74]). We posit that this relationship is the same in the new eCRM context, thus:…”

Section: Media Richness and Perceived Interactivity On E-customers' Amentioning

confidence: 59%

Investigating antecedents of technology acceptance of initial eCRM users beyond generation X and the role of self-construal

Chen

Kazman

2007

Electron Commerce Res

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“…3 Technology acceptance model (TAM) TAM, introduced by Davis (1986) is one of the more widely used and accepted models researchers use to explain information technology (IT) and information systems (IS) acceptance and usage. Since publication, TAM has received considerable attention and empirical support (see Lee et al 2003 for a more thorough review) although some of the results have not always been consistent and/or conclusive (Ma and Liu 2004). As of January 2005, the Institute for Scientific Information's Social Science Citation Index listed more than 1,000 citations of the two studies introducing TAM (see Davis 1989;Davis et al 1989).…”

Section: Introductionmentioning

confidence: 99%

Investigating mobile wireless technology adoption: An extension of the technology acceptance model

2008

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This research represents a theoretical extension of the Technology Acceptance Model (TAM), which IS researchers have used to explain technologies' perceived usefulness and individuals intention to use it. The authors developed a model, referred to as the Mobile Wireless Technology Acceptance Model (MWTAM), to test the relationship between theoretical constructs spanning technological influence processes (Perceived Ubiquity, and Perceived Reachability) and cognitive influence processes (Job Relevance, Perceived Usefulness, and Perceived Ease of Use) and their impact on Behavioral Intention. MWTAM is assessed using data collected from an online survey and analyzed using AMOS 5.0. Results provide evidence to support MWTAM as both the technological and cognitive influence processes accounted for 58.7% of the variance explained in an individual's Behavioral Intention toward using mobile wireless technology. Additionally, the path coefficients between constructs ranged from 0.241 to 0.572 providing further evidence to support the theoretical extension of TAM.

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“…TAM, which has become an often employed and influential IS theory [8,28,55,63,86], continues to make contributions to the literature. Recent applications include wireless data networks [89], mobile communications [90] and SMS service [58].…”

Section: Technology Adoptionmentioning

confidence: 99%

The adoption of hyped technologies: a qualitative study

Hedman

Gimpel

2010

Inf Technol Manag

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The introduction of new consumer technology is often greeted with declarations that the way people conduct their lives will be changed instantly. In some cases, this might create hype surrounding a specific technology. This article investigates the adoption of hyped technology, a special case that is absent in the adoption literature. The study employs a consumer research perspective, specifically the theory of consumption values (TCV), to understand the underlying motives for adopting the technology. In its original form, TCV entails five values that influence consumer behavior: functional, social, epistemic, emotional and conditional. The values catch the intrinsic and extrinsic motives influencing behavior. Using a qualitative approach that includes three focus groups and 60 one-on-one interviews, the results of the study show that emotional, epistemic and social values influence the adoption of hyped technologies. Contrary to expectations, functional value, which is similar to the widely used information system constructs of perceived usefulness and relative advantage, has little impact on the adoption of technologies that are surrounded with significant hype. Using the findings of the study, this article proposes a model for investigating and understanding the adoption of hyped technologies. This article contributes to the literature by (1) focusing on the phenomenon of hyped technology,(2) introducing TCV, a consumer research-based theoretical framework, to enhance the understanding of technology adoption, and (3) proposing a parsimonious model explaining the adoption of hyped technology.

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The Technology Acceptance Model: Past, Present, and Future

Cited by 1,362 publications

References 125 publications

Investigating antecedents of technology acceptance of initial eCRM users beyond generation X and the role of self-construal

Investigating antecedents of technology acceptance of initial eCRM users beyond generation X and the role of self-construal

Investigating mobile wireless technology adoption: An extension of the technology acceptance model

The adoption of hyped technologies: a qualitative study

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