Institution
Northumbria University
Education•Newcastle upon Tyne, United Kingdom•
About: Northumbria University is a education organization based out in Newcastle upon Tyne, United Kingdom. It is known for research contribution in the topics: Context (language use) & Population. The organization has 5624 authors who have published 17423 publications receiving 381949 citations. The organization is also known as: University of Northumbria at Newcastle.
Topics: Context (language use), Population, Computer science, Higher education, Visible light communication
Papers published on a yearly basis
Papers
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TL;DR: Stimulated recall (SR) is a family of introspective research procedures through which cognitive processes can be investigated by inviting subjects to recall, when prompted by a video sequence, their concurrent thinking during that event as discussed by the authors.
Abstract: Stimulated recall (SR) is a family of introspective research procedures through which cognitive processes can be investigated by inviting subjects to recall, when prompted by a video sequence, their concurrent thinking during that event. Variations of the generic approach are widely used and many of the studies treat SR as non-problematic. The article reviews the strengths and weaknesses of SR and exemplifies its use in a study of non-deliberative decision-making by sports coaches. The study reaffirms the potential limitations of subjects reordering their accounts in response to activating deeper memory structures and in order to maintain biases of control and a priori theory affirmation. Nevertheless, the procedure successfully elicited expert accounts of decisions taken and maintained the benefits of the naturalistic context. The article concludes that SR is a valuable tool for investigating cognitive processes, although care has to be taken with research designs. The value is enhanced when there is immediacy of recall, consonance between questions and cognitive organisation, and indirect means of introspection in complex interactive contexts, such as the classroom. It has considerable potential in both research and as the basis of training programmes.
685 citations
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TL;DR: Partial least squares structural equation modeling (PLS-SEM) has become a key multivariate analysis technique that human resource management (HRM) researchers frequently use as discussed by the authors, and it has been shown to be effective in many HRM problems.
Abstract: Partial least squares structural equation modeling (PLS-SEM) has become a key multivariate analysis technique that human resource management (HRM) researchers frequently use. While most disciplines...
664 citations
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TL;DR: Adaptions of cognitive behavioural therapy elements that are feasible to implement for those facing changed work schedules and requirements, those with health anxiety and those handling childcare and home‐schooling are suggested, whilst also recognizing the general limitations imposed on physical exercise and social interaction.
Abstract: In the current global home confinement situation due to the COVID-19 outbreak, most individuals are exposed to an unprecedented stressful situation of unknown duration. This may not only increase daytime stress, anxiety and depression levels, but also disrupt sleep. Importantly, because of the fundamental role that sleep plays in emotion regulation, sleep disturbance can have direct consequences upon next day emotional functioning. In this paper, we summarize what is known about the stress-sleep link and confinement as well as effective insomnia treatment. We discuss those effects of the current home confinement situation that can disrupt sleep but also those that could benefit sleep quality. We suggest adaptions of cognitive behavioural therapy elements that are feasible to implement for those facing changed work schedules and requirements, those with health anxiety and those handling childcare and home-schooling, whilst also recognizing the general limitations imposed on physical exercise and social interaction. Managing sleep problems as best as possible during home confinement can limit stress and possibly prevent disruptions of social relationships.
660 citations
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01 Jan 2014658 citations
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TL;DR: In this paper, the authors adopt the elaboration likelihood model to identify what influences travelers to adopt information from online reviews in their decision making, and find that high-involvement travelers adopt both central (information quality) and peripheral (product ranking) factors.
Abstract: Online reviews (ORs) are continuing to foster a renewed spread of word-of-mouth in the travel industry. Travelers are increasingly using ORs to inform them about accommodations and other tourism-related products. As such, it is important to improve our understanding of the behavioral consequences of e-word-of-mouth. In this article, we adopt the elaboration likelihood model to identify what influences travelers to adopt information from ORs in their decision making. We measure the influence of six dimensions of information quality that are part of the central route and two dimensions that are associated with the peripheral route of persuasion. The results of this study reveal that product ranking, information accuracy, information value-added, information relevance, and information timeliness are strong predictors of travelers’ adoption of information from ORs on accommodations. These results imply that high-involvement travelers adopt both central (information quality) and peripheral (product ranking) ro...
654 citations
Authors
Showing all 5812 results
Name | H-index | Papers | Citations |
---|---|---|---|
Peter Hall | 132 | 1640 | 85019 |
William J. Kraemer | 123 | 755 | 54774 |
Adrian Jenkins | 118 | 427 | 66331 |
Timothy D. Noakes | 110 | 701 | 39090 |
David R. Smith | 110 | 881 | 91683 |
Christopher P. Day | 101 | 304 | 43632 |
Mark Walker | 97 | 622 | 58554 |
Christopher D. Buckley | 88 | 440 | 25664 |
Simon C. Robson | 88 | 552 | 29808 |
Keith Wesnes | 83 | 344 | 19628 |
Tibor Hortobágyi | 79 | 455 | 22017 |
Ling Shao | 78 | 782 | 26293 |
Derek K. Jones | 76 | 375 | 33916 |
Alan Richardson | 76 | 363 | 19893 |
Andrew R. Gennery | 74 | 392 | 16621 |