The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
Influence of online shopping information dependency and innovativeness on internet shopping adoption
Abstract
Purpose: The paper's purpose is to analyse the influence of online shopping information dependency and innovativeness on the acceptance of internet shopping. Design/methodology/approach: The impact of online shopping information dependency, domain‐specific innovativeness and technology acceptance model (TAM) variables on future shopping intention has been tested through structural equation modelling techniques. The sample consisted of 465 Spanish consumers who had never purchased online. Findings: Data analysis shows that consumer innovativeness and online shopping information dependency have a direct and positive influence on future online shopping intention and that the basic TAM hypotheses are fulfilled. Online shopping information dependency can be increased with interfaces that are easier to use, but only if perceived usefulness remains high. Consumer innovativeness positively influences internet exposure and the ease‐of‐use perception of the shopping medium, referred to throughout this paper as “shopping channel”. Practical implications: This research enables companies to know which aspects of their communication strategies to highlight in order to get non‐purchasing web users to participate in e‐shopping. Perceived ease of use and online shopping information dependency has a significant influence on shoppers' willingness to purchase online. This shows that web content and design are key tools in the increase of future online purchasing. It is also recommended that managers target some of their advertising campaigns to the more innovative users. Originality/value: There are still too few studies that analyse the effects of innovativeness and online shopping information dependency on non‐purchasing web users' behaviour. This work aims to combine the influence of online shopping information dependency, innovativeness and the traditional TAM in order to construct an improved model for internet shopping acceptance. It will use an integrated model to do so.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
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
A Paradigm for Developing Better Measures of Marketing Constructs
Churchill, G. A. (1979) · Journal of Marketing Research · doi:10.1177/002224377901600110 · Cited by 16,549
The Elaboration Likelihood Model of Persuasion
Petty, R. E., & Cacioppo, J. T. (1986) · Advances in Experimental Social Psychology · doi:10.1016/s0065-2601(08)60214-2 · Cited by 8,822
Agarwal, R., & Karahanna, E. (2000) · MIS Quarterly · doi:10.2307/3250951 · Cited by 4,726
Innovativeness: The Concept and Its Measurement
Midgley, D. F., & Dowling, G. R. (1978) · Journal of Consumer Research · doi:10.1086/208701 · Cited by 1,550 · cited 2×
“Innovativeness is a concept linked to the new product adoption process that has received considerable attention from researchers (Hirschman, 1980; Midgley and Dowling, 1978; Robertson, 1971).”
BackgroundPerceived risk: The concept and its measurement
Dowling, G. R. (1986) · Psychology & Marketing · doi:10.1002/mar.4220030307 · Cited by 551
THE ORIGINS OF INDIVIDUAL MEDIA-SYSTEM DEPENDENCY: A Sociological Framework
BALL-ROKEACH, S. J. (1985) · Communication Research · doi:10.1177/009365085012004003 · Cited by 493
Cited by
Thakur, R., & Srivastava, M. (2014) · Internet Research · doi:10.1108/intr-12-2012-0244 · Cited by 606
Online Shopper Behavior: Influences of Online Shopping Decision
SCG Trading Services Co. Ltd, Katawetawaraks, C., Wang, C. L., & University of New Haven (2011) · Asian Journal of Business Research · doi:10.14707/ajbr.110012 · Cited by 303
PLS–SEM in business promotion strategies. A multigroup analysis of mobile coupon users using MICOM
Carranza, R., Díaz, E., Martín-Consuegra, D., & Fernández-Ferrín, P. (2020) · Industrial Management & Data Systems · doi:10.1108/imds-12-2019-0726 · Cited by 72
Permission email marketing and its influence on online shopping
Reimers, V., Chao, C.-W., & Gorman, S. (2016) · Asia Pacific Journal of Marketing and Logistics · doi:10.1108/apjml-03-2015-0037 · Cited by 64
Metadata
- Authors
- Bigné‐Alcañiz, E., Ruiz‐Mafé, C., Aldás‐Manzano, J., & Sanz‐Blas, S.
- Venue
- Online Information Review
- Publisher
- Emerald
- Published
- 2008-09-26
- Volume
- 32
- Issue
- 5
- Pages
- 648-667
- ISSN
- 1468-4527 (ISSN-L)
- OpenAlex
- W2053435890
- Cited by
- 196
- References
- 7
- FWCI
- 16.51
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Influence of online shopping information dependency and innovativeness on internet shopping adoption. https://app.cochat.ai/papers/10.1108/14684520810914025
- The paper
- Bigné‐Alcañiz, E., Ruiz‐Mafé, C., Aldás‐Manzano, J., & Sanz‐Blas, S. (2008). Influence of online shopping information dependency and innovativeness on internet shopping adoption. Online Information Review. https://doi.org/10.1108/14684520810914025
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
