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Transfer of Training

The Known and the Unknown

Bibliographic Data

ID15735484
AuthorsJ Kevin Ford (0000-0003-1670-8882, Michigan State University, corresponding author), Timothy T Baldwin (Indiana University Bloomington), Joshua J Prasad (0000-0002-7938-6270, Michigan State University), Joshua Prasad (Michigan State University)
Year2017
Volume5
Issue1
Pages201-225
Publication date2017-10-23
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueAnnual Review of Organizational Psychology and Organizational Behavior (JOURNAL)
Journal identifiersISSN: 2327-0608 • E-ISSN: 2327-0616
PublisherAnnual Reviews (PUBLISHER • US)
DOI10.1146/annurev-orgpsych-032117-104443
OpenAlexW2733958805
LanguageEN
Citations received36
References cited109

Transfer of training is one of the oldest topics of interest to industrial and organizational (I/O) psychologists. Drawing on several meta-analytic studies and recent empirical work, we first synthesize what is now reliably known with respect to the generalization and retention of learned knowledge and skills to work contexts. The second part of our review focuses on what is unknown—the significant gaps in our knowledge where we believe new directions in our research strategies are warranted. We offer three prescriptions: (a) going one step beyond most existing studies to offer greater precision in our specification and measurement of variables and interventions, (b) connecting the dots by focusing on transfer criteria and transfer trajectories, and (c) shifting the operative paradigm of research to examine contemporary learning from a problem-centered perspective. There is ample opportunity to increase the yield on enormous organizational investments in training if transfer scholars and practitioners are fully informed of what is known and prepared to systematically confront the unknown in new and innovative ways

Empirical research · Epistemology · Generalization · Knowledge management · Knowledge transfer · Organizational learning · Perspective (graphical · Psychological intervention · Transfer of learning · Transfer of training · Work (physics · Computer Science · Engineering · Human Resource Development and Performance Evaluation · Organizational Learning and Leadership · Psychology · Team Dynamics and Performance · Artificial Intelligence

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Unique citing works36
Citations per year5,14
Citation span2019 - 2026 (8)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 35

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