Drivers and Inhibitors Impacting Technology Adoption: A Qualitative Investigation into the Australian Experience with XBRL

eXtensible Business Reporting Language (XBRL) is an XML-based innovation which has the potential to play an important role in the production and consumption of financial information. In this paper, in-depth interviews are used to explore a range of issues surrounding the adoption of XBRL in Australia. Drivers that promote successful adoption of XBRL are discussed, together with inhibitors that obstruct it. We find that the current members of the XBRL community are waiting for a critical mass of either users or solutions to appear. Combined with other inhibitors and unfulfilled drivers, this has adversely affected XBRL adoption in Australia. While government agencies may play a significant role in breaking this deadlock through making XBRL use mandatory, we identify some important implications associated with this strategy

Affordances and agentic orientations: An examination of ICT4D users

This study aims at understanding how resettled refugees interact with computer technology. In particular, the objectives of this research project are twofold. First, it analyses how information technology users interpret the affordances of computer technology in relation to their unique needs and goals. Second, it scrutinises how information technology users exercise their agency to act upon the materiality of computer technology. The combination of the concepts of affordance and temporal agentic orientation provides the theoretical foundations for this research. Data, obtained through in-depth, face-to face, semi-structured interviews with 53 participants across four locations in New Zealand, was thematically analysed. The findings show that user’s past experiences, current circumstances and evaluation of future outcomes significantly influence the perceived affordances of computer technology and, consequently, shape the way it is used

Sustainability in ICT-Enabled Collaborative Networks

Many organizations form collaborative ICT-enabled networks in order to improve their performance, and we generally understand their motives and benefits in doing so. However, there is little empirical research that focuses on how collaborative relationships are sustained over the longer term. This paper is a first step in addressing this deficiency. Based on a review of the literature on strategic collaboration, we develop a conceptual framework for understanding and exploring the resources and capabilities required to sustain collaborative networks. The framework will provide a theoretical basis for a subsequent empirical investigation

An Empirical Investigation into IS Development Practice in New Zealand

A Web-based survey of 106 large New Zealand organisations was undertaken to gain an understanding of their IS development practices. The survey focussed on the contribution of standard methods and user participation to IS development. Among the findings were that 91% of the respondents used a standard method in the development process in at least some of projects undertaken in the last three years. All organisations reported using some level of user participation. The majority of organisations agreed that organisational issues had been more important than technical issues in determining the outcome of the IS development in these projects

Following wrong suggestions: self-blame in human and computer scenarios

This paper investigates the specific experience of following a suggestion by an intelligent machine that has a wrong outcome and the emotions people feel. By adopting a typical task employed in studies on decision-making, we presented participants with two scenarios in which they follow a suggestion and have a wrong outcome by either an expert human being or an intelligent machine. We found a significant decrease in the perceived responsibility on the wrong choice when the machine offers the suggestion. At present, few studies have investigated the negative emotions that could arise from a bad outcome after following the suggestion given by an intelligent system, and how to cope with the potential distrust that could affect the long-term use of the system and the cooperation. This preliminary research has implications in the study of cooperation and decision making with intelligent machines. Further research may address how to offer the suggestion in order to better cope with user's self-blame.Comment: To be published in the Proceedings of IFIP Conference on Human-Computer Interaction (INTERACT)201