Brunel University London

About: Brunel University London is a education organization based out in London, United Kingdom. It is known for research contribution in the topics: Context (language use) & Large Hadron Collider. The organization has 10918 authors who have published 29515 publications receiving 893330 citations. The organization is also known as: Brunel & University of Brunel.

IT innovation adoption in the government sector: identifying the critical success factors

Abstract: Purpose – This paper aims to acquire underlying knowledge of how IT is adopted in private sector organisations and further explore what factors impact its adoption (optimistically and pessimistically).Design/methodology/approach – An interpretive and qualitative multiple case study approach was selected to test and validate the conceptual model empirically. The selection of the interpretivism viewpoint in the context of this research is to understand how government organisations adopt new technologies and support their decisions and actions. The interpretive research methodology is related to data gathering and generating solid descriptions and interpretations and further allows theory building. Through a multiple case study strategy, factors influencing EAI adoption in the government sector are investigated. In doing so, various data collection methods such as interviews, documentation, and observation are adopted.Findings – The author identified 42 critical success factors (CSF) for IT innovation adopti...

Crowding out intrinsic motivation in the public sector

Abstract: Employing intrinsically motivated individuals has been proposed as a means of improving public sector performance. In this article, we investigate whether intrinsic motivation affects the sorting of employees between the private and the public sectors, paying particular attention to whether extrinsic rewards crowd out intrinsic motivation. Using British longitudinal data, we find that individuals are attracted to the public sector by the intrinsic rather than the extrinsic rewards that the sector offers. We also find evidence supporting the intrinsic motivation crowding out hypothesis, in that, higher extrinsic rewards reduce the propensity of intrinsically motivated individuals to accept public sector employment. This is, however, only true for two segments of the UK public sector: the higher education sector and the National Health Service. Although our findings inform the literature on public service motivation, they also pose the question whether lower extrinsic rewards could increase the average quality of job matches in the public sector, thus improving performance without the need for high-powered incentives.

Personality judgments from natural and composite facial images: More evidence for a "kernel of truth" in social perception

Abstract: In addition to signaling identity, sex, age, and emotional state, people frequently use facial characteristics as a basis for personality attributions. Typically, there is a high degree of consensus in the attributions made to faces. Nevertheless, the extent to which such judgments are veridical is unclear and somewhat controversial. We have examined the relationship between self-report and perceived personality using both faces of individuals and computer graphic composites. Photographs were taken of 146 men and 148 women who each also completed a self-report personality questionnaire from which scores on the big five personality dimensions were derived. In study 1, we identified a relationship between self-reported extraversion and perceived extraversion in individual faces. For male faces alone, we also found some accuracy in the perception of emotional stability and openness to experience. In study 2, composite faces were made from individuals self-reporting high and low scores on each of the five dimensions. These composites were rated for personality and attractiveness by independent raters. Discriminant analyses indicated that, controlling for attractiveness, independent ratings on congruent personality dimensions were best able to discriminate between composite faces generated from individuals high or low on the self-report dimensions of agreeableness, extraversion, and, for male faces only, emotional stability.

Examining the moderating effect of individual-level cultural values on users’ acceptance of E-learning in developing countries: a structural equation modeling of an extended technology acceptance model

Abstract: In this study, we examine the effects of individual-level culture on the adoption and acceptance of e-learning tools by students in Lebanon using a theoretical framework based on the Technology Acceptance Model (TAM). To overcome possible limitations of using TAM in developing countries, we extend TAM to include subjective norms (SN) and quality of work life constructs as additional constructs and a number of cultural variables as moderators. The four cultural dimensions of masculinity/femininity (MF), individualism/collectivism, power distance and uncertainty avoidance were measured at the individual level to enable them to be integrated into the extended TAM as moderators and a research model was developed based on previous literature. To test the hypothesised model, data were collected from 569 undergraduate and postgraduate students using e-learning tools in Lebanon via questionnaire. The collected data were analysed using the structural equation modelling technique in conjunction with multi-g...

Integrated geometric error modeling, identification and compensation of CNC machine tools

Abstract: This paper presents an integrated geometric error modeling, identification and compensation method for machine tools. Regarding a machine tool as a rigid multi-body system (MBS), a geometric error model has been established. It supports the identification of the 21 translational geometric error parameters associated with linear-motion axes based on a laser interferometer, and 6 angular geometric error parameters for each rotation axis based on a ball-bar. Based on this model, a new identification method is proposed to recognize these geometric errors. Finally, the identified geometric errors are compensated by correcting corresponding NC codes. In order to validate our method, a prototype software system has been developed, which can be used for conducting tests on any type of CNC machine tool with not more than five axes. An experiment has been conducted on a five-axis machine center with rotary table and tilting head; the results show that the integrated geometric error modeling, identification and compensation method is effective and applicable in multi-axis machine tools.