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Journal ArticleDOI

Information systems and performance: the role of technology, the task and the individual

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TLDR
A research model where individual (knowledge of the task and the technology), task (ease) and technology (usefulness and ease) factors determine performance is developed and links are established between these factors.
Abstract
Organisations require good performance from individuals to achieve their objectives. In view of the growing presence of technology, it becomes necessary to understand performance in the context of information systems. However, the research streams that study performance (e.g. industrial psychology or the impact of technology on performance) focus primarily on a single component (the individual or the technology). The systemic perspective, for its part, considers all three components (technology, the individual and the task) and their relationships in order to explain performance. From this perspective, this article develops a research model where individual (knowledge of the task and the technology), task (ease) and technology (usefulness and ease) factors determine performance. Links are also established between these factors. Data were collected from 246 individuals and the results show that the proposed links are significant. This research highlights that management should take into account all three c...

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Citations
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Interactivity, engagement, and technology dependence: understanding users’ technology utilisation behaviour

TL;DR: A technology dependence model is proposed and empirically tested and all three dimensions of interactivity, namely, control, communication, and responsiveness, are revealed to be significant indicators of engagement.
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The effect of individual and task characteristics on decision aid reliance

TL;DR: The research finds that the objective task characteristic and individual characteristic (expertise) both affect reliance behaviours; however, their effects are fully mediated by the subjective task characteristic (task difficulty).
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Learning, understanding and the use of information technology: a survey study among primary care physician trainees

TL;DR: The study suggests that many physicians need a better understanding of information technology systems, as the new generation of primary care physicians seem to learn features of IT-Systems through explanation by others and trying in their ambulatory practices.
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Performance in computer-mediated work: the moderating role of level of automation

TL;DR: Evaluated empirically whether the level of intervention moderates the effects of knowledge and perceived usefulness on performance in structured and proceduralized environments shows that the degree of automation moderates the direct relationships.
Proceedings Article

The Relationship between Task Technology Fit and Individual Performance: Case Study in Hotel Industry in Malaysia

TL;DR: In this paper, the authors investigate which task-technology fit elements are able to explain and improve the individual performance in the hotel industry and provide solutions for employers of hotel industry in Malaysia to improve the performance of the operational employees.
References
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Perceived Usefulness, Perceived Ease of Use, and User

TL;DR: Regression analyses suggest that perceived ease of use may actually be a causal antecdent to perceived usefulness, as opposed to a parallel, direct determinant of system usage.
Journal ArticleDOI

Perceived usefulness, perceived ease of use, and user acceptance of information technology

TL;DR: In this article, the authors developed and validated new scales for two specific variables, perceived usefulness and perceived ease of use, which are hypothesized to be fundamental determinants of user acceptance.
Journal ArticleDOI

Multivariate Data Analysis

TL;DR: In this paper, a six-step framework for organizing and discussing multivariate data analysis techniques with flowcharts for each is presented, focusing on the use of each technique, rather than its mathematical derivation.
Journal ArticleDOI

Structural equation modeling in practice: a review and recommended two-step approach

TL;DR: In this paper, the authors provide guidance for substantive researchers on the use of structural equation modeling in practice for theory testing and development, and present a comprehensive, two-step modeling approach that employs a series of nested models and sequential chi-square difference tests.
Journal ArticleDOI

Multivariate data analysis

TL;DR: This chapter discusses Structural Equation Modeling: An Introduction, and SEM: Confirmatory Factor Analysis, and Testing A Structural Model, which shows how the model can be modified for different data types.
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