Rethinking determinants of ICT acceptance: Towards an integrated and comprehensive overview

Abstract

In the contemporary ICT environment, we are confronted with a growing number of failing innovations. New technological innovations often fail because too much attention is still given to (technical) product-related features without taking into account the most important parameters of user acceptance. In addition, suppliers of ICT products often lack accurate insight into the distinguished profiles of their (potential) target audience. In this article theoretical considerations and empirical results on this matter are highlighted. First of all, an approach is proposed in which more traditional and often scattered vision(s) on adoption determinants are broadened into an integrated framework. The approach provides a stronger base for better targeting of (new) users of technologies. Secondly, the authors elaborate on this by rethinking these determinants with regard to later adopters. Later adopters (or even non-adopters/users) are often ignored in technology acceptance research. However, especially for policy purposes, the understanding of why people do not adopt or do not use ICT is strongly relevant in the light of the development of an inclusive information society.Both approaches are illustrated by case studies starting from a common list of nineteen ICT appropriation determinants. This framework enables to better profile both earlier and later adopters as well as it allows to formulate recommendations how to bring innovations in the market. Summarizing, this contribution offers an integrated approach on technology acceptance research by bridging the gap between a market and a policy-oriented point of view.

Forecasting consumer perception of innovativeness

“…Cluster analysis. Finally, a cluster analysis was performed to reveal clusters that exist within the sample with respect to the variables in the model and also consumer innovativeness, another construct of interest to innovation researchers in understanding differential consumer group response to innovations (Mudd, 1990;Verdegem and Marez, 2011). Consumer innovativeness was measured using the Global Consumer Innovativeness six item, seven point Likert scale adapted from Tellis, Yin and Bell, (2009).…”

“…The study also is the first to show how affect is an important aspect of the innovation evaluation process. A better understanding of the consumer side of innovation may also help explain the somewhat inconsistent relationship between product innovativeness and new product success (Henard and Szymanski, 2001;Szymanski, Kroff, and Troy, 2007;Verdegem and De Marez, 2011). However, still the literature provides little consensus on how consumers perceive innovations (Garcia and Calantone, 2002), and specifically, little consensus on what innovativeness is, as rated by consumers.…”

Using Partial Least Squares (PLS) in Predicting Behavioral Intention for Telehealth Use among Filipino Elderly

“…Previous researchers (Chigona, Mbhele, & Kabanda, 2008) further noted that being able to profit from technology does not depend on their availability, but more on people's preparation and capacity and intention to use such in new and creative ways. Verdegem and De Marez (2011) believed that ''utilization failure'' of technology programs could be attributed to the less attention given to user acceptance.…”

A framework for optimal techno-economic assessment of broadband access solutions and digital inclusion of rural population in global information society

“…Those technologies differ greatly in their technical capabilities. However, due to the fast development of new access solutions and the uncertain conditions of rural broadband markets, pure technical superiority is not a guarantee for market success with regard to new technologies [40]. The importance of analysing different business models and technologies in the telecommunications industry is crucial for the investment policy of telecom operators [41].…”