Institution
Oakland University
Education•Rochester, Michigan, United States•
About: Oakland University is a education organization based out in Rochester, Michigan, United States. It is known for research contribution in the topics: Population & Medicine. The organization has 4042 authors who have published 6622 publications receiving 128462 citations. The organization is also known as: Oakland & OU.
Papers published on a yearly basis
Papers
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TL;DR: A framework for conceptualizing the development of individual differences in reading ability is presented in this paper that synthesizes a great deal of the research literature and places special emphasis on reading ability.
Abstract: A framework for conceptualizing the development of individual differences in reading ability is presented that synthesizes a great deal of the research literature. The framework places special emph...
5,062 citations
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2,123 citations
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TL;DR: The creation, elaboration, and functions of boundary spanning roles are examined, with attention to environmental and technological sources of variation in the structure of boundary roles.
Abstract: Boundaries are a defining characteristic of organizations, and boundary roles are the link between the environment and the organization. The creation, elaboration, and functions of boundary spanning roles are examined, with attention to environmental and technological sources of variation in the structure of boundary roles. Eleven hypotheses integrate the material reviewed and are amenable to empirical test. Future research should overcome problems created when organizations are treated as “wholes” or single entities.
1,311 citations
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TL;DR: Perceived user resources are examined, which are measures of self-efficacy and perceived behavioral control that concentrate on how well individuals perceive they can execute specific courses of action, that can facilitate or inhibit such behaviors.
Abstract: There has been considerable research on the factors that predict whether individuals will accept and voluntarily use information systems The technology acceptance model (TAM) has a base in psychological research, is parsimonious, explains usage behavior quite well, and can be operationalized with valid and reliable instruments A limitation of TAM is that it assumes usage is volitional, that is, there are no barriers that would prevent an individual from using an IS if he or she chose to do so This research extends TAM by adding perceived user resources to the model, with careful attention to placing the construct in TAM's existing nomological structure In contrast to measures of self-efficacy and perceived behavioral control that concentrate on how well individuals perceive they can execute specific courses of action, this paper examines perceptions of adequate resources that can facilitate or inhibit such behaviors The inclusion of both a formative and reflective set of measures provides the opportunity for the researcher and manager to decide whether to evaluate only the overall perceptions of adequate resources or also the specific underlying causes The extended model incorporating these measures was then tested in the field The results confirmed that perceived user resources is a valuable addition to the model
1,164 citations
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TL;DR: A framework for conceptualizing the development of individual differences in reading ability is presented in this paper that synthesizes a great deal of the research literature and places special emphasis on reading ability.
Abstract: A framework for conceptualizing the development of individual differences in reading ability is presented that synthesizes a great deal of the research literature. The framework places special emph...
1,006 citations
Authors
Showing all 4138 results
Name | H-index | Papers | Citations |
---|---|---|---|
Kevin Murphy | 146 | 728 | 120475 |
Tamas L. Horvath | 107 | 483 | 42023 |
Keith E. Stanovich | 98 | 249 | 47854 |
Alvaro Martinez | 90 | 405 | 24922 |
Caroline Dean | 90 | 223 | 31556 |
Ivo Babuška | 90 | 376 | 41465 |
George S. Wilson | 88 | 716 | 33034 |
Richard H. Gelberman | 82 | 303 | 20644 |
Michael Abecassis | 77 | 356 | 23044 |
Michael B. Chancellor | 73 | 435 | 15754 |
Ivan K. Schuller | 72 | 639 | 22292 |
Morris Goodman | 70 | 257 | 14688 |
James E. Montie | 69 | 409 | 18221 |
Michael E. Boulton | 69 | 331 | 23747 |
Natalia A. Trayanova | 66 | 435 | 13129 |