Exploring individual personality factors as drivers of M‐shopping acceptance
Abstract
Purpose
The purpose of this paper is to evaluate how personality variables related to technology (innovativeness, compatibility and affinity) can modify the influence of classical technology acceptance model (TAM) variables on behavioural adoption intention of mobile shopping.
Design/methodology/approach
The impact of innovativeness, compatibility, affinity, TAM beliefs (ease of use and usefulness) and attitude on mobile shopping adoption is tested through structural equation modelling techniques. The sample consisted of 470 Spanish mobile telephone users selected on the basis of convenience.
Findings
Data analysis shows that the effect of perceived usefulness and, in a minor degree, perceived ease of use are over dimensioned if personality variables are omitted making intention formation to be perceived as more rational than it really is. Personality variables (affinity to mobile telephones, compatibility and innovativeness) have a direct and positive influence on the intention to engage in M‐shopping.
Practical implications
This research enables mobile shopping agents to know what aspects to highlight in their communication strategies to increase the M‐services adoption rate. The complementary use of the mobile and the internet is recommended since the similarities between both methods may favour the acceptance of distance shopping systems. Mobile services should not be simply designed as easy to use, but also as an enjoyable experience.
Originality/value
Despite the importance of personality factors on mobile shopping adoption, they were explicitly ignored when the unified theory of acceptance and use of technology was formulated. This research does not try to propose an extension of the TAM model, but analyses the degree in which the explicit rejection of personality variables could impoverish its performance.
Keywords
Citation
Aldás‐Manzano, J., Ruiz‐Mafé, C. and Sanz‐Blas, S. (2009), "Exploring individual personality factors as drivers of M‐shopping acceptance", Industrial Management & Data Systems, Vol. 109 No. 6, pp. 739-757. https://doi.org/10.1108/02635570910968018
Publisher
:Emerald Group Publishing Limited
Copyright © 2009, Emerald Group Publishing Limited