WHAT DO USERS NEED? EXPLORING INFLUENCES ON THE ADOPTION OF MOBILE CONTENT AND THE DIFFERENCES AMONG CATEGORIES OF ADOPTERS

Businesses develop products and services with the goal of earning a satisfactory return on their original investment of time and capital. For their part, consumers seek out products and services that meet a recognized need. However, predicting the adoption rate of any new technology is an inexact science, and some businesses find themselves on the wrong side of the curve. The variables factoring into consumers’ purchasing decisions are manifold and contingent on a wider network of influences. This research suggests that a primary variable that influences consumers’ adoption of a technological innovation (in this case, mobile content) is the perception of 10 proposed Mobile Content Needs. The first goal of this research is to propose a framework for the relationships among the adoption of mobile content, users’ perception of their need for mobile content, and users’ innovativeness, which is a measure of the likelihood to adopt a new product. This research seeks to explore the differences among groups (categories) of adopters in the context of the perceived needs influencing their decision to adopt mobile content. In other words, it examines the prominence of particular mobile content needs for each of the five categories of adopters. This examination provides indirect evidence of how the mobile content adoption process evolves over time in relation to a specific innovation and within specific groups. This research is useful for those seeking to better understand the mobile content market in its totality, in particular the motivations driving different adopter groups. The results of this research may enable the development of more relevant, targeted content, with a surer knowledge of what a potential consumer needs at each stage of the adoption lifecycle. Similarly, this research offers a foundation for more extensive studies in the near future

Issues of the adoption of HIT related standards at the decision-making stage of six tertiary healthcare organisations in Saudi Arabia

Due to interoperability barriers between clinical information systems, healthcare organisations are facing potential limitations with regard to acquiring the benefits such systems offer; in particular, in terms of reducing the cost of medical services. However, to achieve the level of interoperability required to reduce these problems, a high degree of consensus is required regarding health data standards. Although such standards essentially constitute a solution to the interoperability barriers mentioned above, the level of adoption of these standards remains frustratingly low. One reason for this is that health data standards are an authoritative field in which marketplace mechanisms do not work owing to the fact that health data standards developed for a particular market cannot, in general, be applied in other markets without modification. Many countries have launched national initiatives to develop and promote national health data standards but, although certain authors have mapped the landscape of the standardisation process for health data in some countries, these studies have failed to explain why the healthcare organisations seem unwilling to adopt those standards. In addressing this gap in the literature, a conceptual model of the adoption process of HIT related standards at the decision-making stage in healthcare organisations is proposed in this research. This model was based on two predominant theories regarding IT related standards in the IS field: Rogers paradigm (1995) and the economics of standards theory. In addition, the twenty one constructs of this model resulted from a comprehensive set of factors derived from the related literature; these were then grouped in accordance with the Technology-Organisation Environment (TOE), a well-known taxonomy within innovation adoption studies in the IS field. Moving from a conceptual to an empirical position, an interpretive, exploratory, multiple-case study methodology was conducted in Saudi Arabia to examine the proposed model. The empirical qualitative evidence gained necessitated some revision to be made to the proposed model. One factor was abandoned, four were modified and eight new factors were added. This consistent empirical model makes a novel contribution at two levels. First, with regard to the body of knowledge in the IS area, this model offers an in-depth understanding of the adoption process of HIT related standards which the literature still lacks. It also examines the applicability of IS theories in a new area which allows others to relate their experiences to those reported. Secondly, this model can be used by decision makers in the healthcare sector, particularly those in developing countries, as a guideline while planning for the adoption of health data standards

Rethinking 'resistance' to big IT: A sociological study of why and when healthcare staff do not use nationally mandated information and communication technologies

contractual_start_date: 09-2011 editorial_review_begun: 06-2013 accepted_for_publication: 04-2014contractual_start_date: 09-2011 editorial_review_begun: 06-2013 accepted_for_publication: 04-2014contractual_start_date: 09-2011 editorial_review_begun: 06-2013 accepted_for_publication: 04-2014National Institute for Health Research Health Services and Delivery Research programm