Author:
Bigné‐Alcañiz Enrique,Ruiz‐Mafé Carla,Aldás‐Manzano Joaquín,Sanz‐Blas Silvia
Abstract
PurposeThe paper's purpose is to analyse the influence of online shopping information dependency and innovativeness on the acceptance of internet shopping.Design/methodology/approachThe 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.FindingsData 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 implicationsThis 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/valueThere 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.
Subject
Library and Information Sciences,Computer Science Applications,Information Systems
Reference92 articles.
1. AECEM (2006), “B2C e‐commerce in Spain 2005”, available at: www.aecem.org/resources/image/Estudio_B2C2006(1).pdf (accessed 3 March 2008).
2. Agarwal, R. and Karahanna, E. (2000), “Time flies when you're having fun: cognitive absorption and beliefs about information technology usage”, MIS Quarterly, Vol. 24 No. 4, pp. 665‐94.
3. Ahn, T., Ryu, S. and Han, I. (2004), “The impact of the online and offline features on the user acceptance of internet shopping malls”, Electronic Commerce Research and Applications, Vol. 3 No. 4, pp. 405‐20.
4. Ajzen, I. and Fishbein, M. (1980), Understanding Attitudes and Predicting Behaviour, Prentice‐Hall, New York, NY.
5. Anderson, J.C. and Gerbing, D.W. (1988), “Structural equation modelling in practice: a review and recommended two‐step approach”, Psychological Bulletin, No. 103, pp. 411‐23.
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