IS

Yi, Mun Y.

Topic Weight Topic Terms
0.358 training learning outcomes effectiveness cognitive technology-mediated end-user methods environments longitudinal skills performance using effective method
0.347 empirical model relationships causal framework theoretical construct results models terms paper relationship based argue proposed
0.219 model research data results study using theoretical influence findings theory support implications test collected tested
0.190 information research literature systems framework review paper theoretical based potential future implications practice discussed current
0.168 integration present offer processes integrating current discuss perspectives related quality literature integrated benefits measures potential
0.133 usage use self-efficacy social factors individual findings influence organizations beliefs individuals support anxiety technology workplace

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Davis, Fred D. 1 Johnson, Richard D. 1 Marakas, George M. 1
Behavior Modeling 1 Computer Self-Efficacy 1 Computer Training 1 Modeling-Based Training 1
Observational Learning 1 Retention Enhancement 1 Social Learning Theory 1 Skill Aquisition 1
Training Performance 1

Articles (2)

Developing and Validating an Observational Learning Model of Computer Software Training and Skill Acquisition. (Information Systems Research, 2003)
Authors: Abstract:
    Computer skills are key to organizational performance, and past research indicates that behavior modeling is a highly effective form of computer skill training. The present research develops and tests a new theoretical model of the underlying observational learning processes by which modeling-based training interventions influence computer task performance. Observational learning processes are represented as a second-order construct with four dimensions (attention, retention, production, and motivation). New measures for these dimensions were developed and shown to have strong psychometric properties. The proposed model controls for two pretraining individual differences (motivation to learn and self-efficacy) and specifies the relationships among three training outcomes (declarative knowledge, post-training self-efficacy, and task performance). The model was tested using PLS on data from an experiment (N=95) on computer spreadsheet training. As hypothesized, observational learning processes significantly influenced training outcomes. A representative modeling-based training intervention (retention enhancement) significantly improved task performance through its specific effects on the retention processes dimension of observational learning. The new model provides a more complete theoretical account of the mechanisms by which modeling-based interventions affect training outcomes, which should enable future research to systematically evaluate the effectiveness of a wide range of modeling-based training interventions. Further, the new instruments can be used by practitioners to refine ongoing training programs.
The Multilevel and Multifaceted Character of Computer Self-Efficacy: Toward Clarification of the Construct and an Integrative Framework for Research. (Information Systems Research, 1998)
Authors: Abstract:
    Despite the recent empirical interest and advances in research with regard to the construct of computer self-efficacy (CSE), the results obtained to date have, in some cases, been either equivocal or contradictory. We suggest that such results may be attributable to a general lack of attention to the dynamic, multileveled, and multifaceted nature of the computer self-efficacy construct. We offer examples from the extant (SE literature suggesting weaknesses in existing measures of the construct as well as issues associated with manipulations and the need for control of antecedent and consequent factors directly associated with CSE. The objectives of this paper are: 0) to provide a thorough review of the extant literature related to CSE; (2) to present an integrated model of empirical findings, constructed from a wide variety of disciplines, that comprehensively defines the multifaceted nature of task-specific CSE in terms of its antecedent, consequent, and moderating factors; (3) to present a conceptual model of CSE at the general versus task-specific level; and (4) to use the two models of CSE to proffer guidelines for both measurement and manipulation of the construct. Through our review of the CSFS literature, we offer several thoughts regarding the nature of the empirical results obtained to date. The combined objectives serve as a basis for establishing a foundation upon which future research investigating the CSE construct can be based.