The DOI matches its Crossref record; 18 of the 18 references it cites were found in a registry or an index.
Web acceptance and usage model: A comparison between goal‐directed and experiential web users
Abstract
Purpose: To analyse the web acceptance and usage between goal‐directed users and experiential users, incorporating intrinsic motives to improve the particular and explanatory TAM (technology acceptance model) value – traditionally related to extrinsic motives. Design/methodology/approach: A survey instrument was used to gather data to test the relationships shown in the research model. Data were collected from a sample of online questionnaires filled out by subscribers located in three discussion‐mailing lists – administered by RedIris – about different topics (e.g. experimental sciences, social sciences and humanities). A structural equation modeling (SEM), specifically partial least squares (PLS), is proposed to assess the relationships between the constructs together with the predictive power of the research model. Findings: The empirical development suggests that there is scope for further extension of TAM to adapt to the web‐based usage and its profitable consequences. The article may help to further the empirical research and to clarify and examine a web acceptance and usage model. In general, experiential and goal‐directed behaviours moderate the key relationships in the model. Experiential and goal‐directed users do not weigh extrinsic and intrinsic motives in the same way when on the web. Goal‐directed users are more driven by instrumental factors and focused on their decision‐making process while experiential users are more motivated by process.. Research limitations/implications: First, constructs of enjoyment and concentration are used to define flow. However, because of the flow definition's conceptual‐vagueness, operationalising the flow construct has been questioned in the previous empirical works. Second, the cross‐sectional study is also an important limitation. Since the users' perception and intention can change over time, it is important to measure these quantities at several points of time. Third, the sample sizes are relatively small. Fourth, the model needs to be tested with more objective measures to compare possible divergences. Finally, the model clearly does not include all the relevant variables. Practical implications: The results could be used to explain and to improve the experiential and goal‐directed users' experience of being and to return to the web. Originality/value: The value of this study is to reveal the moderating influences of browsing‐modes on relationship between flow and TAM‐beliefs on the web, and, also, how the flow impacts the attitude and intention to use web between experiential and goal‐directed users.
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Citations
Cites
Perceived usefulness, perceived ease of use, and user acceptance of information technology
Davis, F. D. (1989) · MIS Quarterly · doi:10.2307/249008 · Cited by 68,483
User Acceptance of Information Technology: Toward A Unified View1
Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003) · MIS Quarterly · doi:10.2307/30036540 · Cited by 45,035
Understanding information technology usage: a test of competing models
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Extrinsic and Intrinsic Motivation to Use Computers in the Workplace 1
Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1992) · Journal of Applied Social Psychology · doi:10.1111/j.1559-1816.1992.tb00945.x · Cited by 6,231 · cited 1×
“Specifically, there is a significant body of theoretical and empirical evidence regarding the importance of the role of intrinsic motives in IT (information technologies) acceptance and use (see Davis et al. , 1992”
BackgroundWork and/or Fun: Measuring Hedonic and Utilitarian Shopping Value
Babin, B. J., Darden, W. R., & Griffin, M. (1994) · Journal of Consumer Research · doi:10.1086/209376 · Cited by 6,020
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Cited by
Roldán, J. L., & Sánchez-Franco, M. J. (2012) · Research Methodologies, Innovations and Philosophies in Software Systems Engineering and Information Systems · doi:10.4018/978-1-4666-0179-6.ch010 · Cited by 869
Self-citationPadilla-Meléndez, A., del Aguila-Obra, A. R., & Garrido-Moreno, A. (2013) · Computers & Education · doi:10.1016/j.compedu.2012.12.014 · Cited by 447
Li, C.-Y. (2013) · Computers in Human Behavior · doi:10.1016/j.chb.2012.09.003 · Cited by 343
Yen, D. C., Wu, C.-S., Cheng, F.-F., & Huang, Y.-W. (2010) · Computers in Human Behavior · doi:10.1016/j.chb.2010.02.005 · Cited by 319
Using T-O-E theoretical framework to study the adoption of ERP solution
Awa, H. O., Ukoha, O., & Emecheta, B. C. (2016) · Cogent Business & Management · doi:10.1080/23311975.2016.1196571 · Cited by 272
“…describes the extent to which a given construct shares more variance with its measures than other latent variables in the model (Hinkin, 1995; Sanchez & Roldan, 2005); thus, the square root of a construct’s AVE must be larger than the interconstruct correlations to ensure discriminant…”
Background
Metadata
- Authors
- Sánchez‐Franco, M. J., & Roldán, J. L.
- Venue
- Internet Research
- Publisher
- Emerald
- Published
- 2005-02-01
- Volume
- 15
- Issue
- 1
- Pages
- 21-48
- ISSN
- 1066-2243 (ISSN-L)
- OpenAlex
- W1764161293
- Cited by
- 288
- References
- 18
- FWCI
- 25.22
- Type
- journal article
- Language
- en
- Open access
- closed
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