16 research outputs found

    Exploring Mobile Social Networking Sites Continuance Intention from the Perspective of Network Externalities and Mobile Value

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    Key shifts in the nature and characteristics of technology have led to evolutions in social media usage. For the first time in history, the internet is being accessed from more mobile devices than desktop computers. This revolution is especially felt among social networking sites, many of whom have presciently developed and released mobile applications of their platforms. Drawing from the Perceived Value Theory, Network Externalities and the Expectation Confirmation Theory of IS Continuance, we tested a model that sought to explain the effect of Network Externalities on Perceived Value and in turn Continuance Intention. Data was collected from 452 students from a university in Ghana and analyzed using the Partial Least Square approach to Structural Equation Modeling. Results from the current study showed that Referent Network Size and Perceived Complementarity had significant effects on both Utilitarian and Hedonic Value as well as Satisfaction. Hedonic Value, Utilitarian Value and Satisfaction in turn were found to be significant predictors of Continuance Intention. In all, the model accounted for 58.0% of the variance in continuance intention. The implications and limitations of the current study are discussed, and directions for future research proposed

    Institutional Foundations of Construction ICT: A View from the West Midlands of England

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    Construction industry is of strategic importance to economic development and growth within any region and nation. However, the industry is confronted by many challenges including poor labour productivity. Part of the explanation frequently provided in literature is that the industry has been slow to adopt and institutionalize useful information and communication technologies (ICT). The research questions asked in this article are: What are the institutional foundations for West-Midlands construction firms to deliver their projects based on ICT and how can these be strengthened? These questions are asked for two reasons. The first is to understand the reasons behind slow ICT adoption and second, to inquire into what can be done about it. The article provides an overview of projects using advanced ICT in the region and presents the results of a focus group discussion undertaken with six industry experts. Scott’s pillars of institutions were used for understanding how the foundations for ICT adaption in the region can be strengthened. Findings are that present regulations, incentives and perceptions of ICT can be further strengthened. While ICT adoption appears to accelerate in large projects, many practitioners remain sceptical as to whether the excessive costs associated with ICT adoptions are justified. The regulative pressures exerted by government in support of ICT adoption do not seem to have fully materialised in industrial practice. However, it is apparent that the normative and cultural cognitive pressures are rendered weak in the region with using advanced ICT being viewed as extraordinary rather than standard industrial practice

    A Technique for the Retrospective and Predictive Analysis of Cognitive Errors for the Oil and Gas Industry (TRACEr-OGI)

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    Human error remains a major cause of several accidents in the oil and gas (O&G) industry. While human error has been analysed in several industries and has been at the centre of many debates and commentaries, a detailed, systematic and comprehensive analysis of human error in the O&G industry has not yet been conducted. Hence, this report aims to use the Technique for Retrospective and Predictive Analysis of Cognitive Errors (TRACEr) to analyse historical accidents in the O&G industry. The study has reviewed 163 major and/or fatal O&G industry accidents that occurred between 2000 and 2014. The results obtained have shown that the predominant context for errors was internal communication, mostly influenced by factors of perception. Major accident events were crane accidents and falling objects, relating to the most dominant accident type: ‘Struck by’. The main actors in these events were drillers and operators. Generally, TRACEr proved very useful in identifying major task errors. However, the taxonomy was less useful in identifying both equipment errors and errors due to failures in safety critical control barriers and recovery measures. Therefore, a modified version of the tool named Technique for the Retrospective and Predictive Analysis of Cognitive Errors for the Oil and Gas Industry (TRACEr-OGI) was proposed and used. This modified analytical tool was consequently found to be more effective for accident analysis in the O&G industry
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