Âkerstedt, T. 2006. Psychosocial stress and impaired sleep. Scandinavian Journal of Work, Environment & Health 32: 493–501.Google Scholar

Alexander, P. A., Schallert, D. L., and Reynolds, R. E. 2009. What is learning anyway? A topographical perspective considered. Educational Psychologist 44: 176–192.Google Scholar

Ariga, A., and Lleras, A. 2011. Brief and rare mental “breaks” keep you focused: Deactivation and reactivation of task goals preempt vigilance decrements. Cognition 118: 439–443.Google Scholar

Azevedo, R., and Bernard, R. M. 1995. A meta-analysis of the effects of feedback in computer-based instruction. Journal of Educational Computing Research 13: 111–127.Google Scholar

Baddeley, A. D., and Longman, D. J. A. 1978. The influence of length and frequency of training session on the rate of learning to type. Ergonomics 21: 627–635.CrossRefGoogle Scholar

Baldwin, T. T., and Ford, J. K. 1988. Transfer of training: A review and directions for future research. Personnel Psychology 41: 63–105.Google Scholar

Balkin, T. J., Rupp, T., Picchioni, D., and Wesensten, N. J, 2008. Sleep loss and sleepiness: Current issues. Chest 134: 653-660.Google Scholar

Banks, S., and Dinges, D. 2007. Behavioral and physiological consequences of sleep restriction. Journal of Clinical Sleep Medicine 3: 519–528.Google Scholar

Bear, M. F., Cooper, L. M., and Ebner, F. F. 1989. Synaptic modification model of memory and learning. In Inkhauser, B., ed., Encyclopedia of Neuroscience, Supplement One, 156–160. Amsterdam: Elsevier.Google Scholar

Bell, B. S., and Kozlowski, S. W. J. 2008. Active learning: Effects of core training design elements on self-regulatory processes, learning, and adaptability. Journal of Applied Psychology 93: 296–316.Google Scholar

Bjork, E. L., and Bjork, R. A. 2011. Making things hard on yourself, but in a good way: Creating desirable difficulties to enhance learning. In Gernsbacher, M. A., Pew, R. W., Hough, L. M., and Pomerantz, J. R., eds., Psychology and the Real World: Essays Illustrating Fundamental Contributions to Society, 56–64. New York: Worth.Google Scholar

Bjork, R. A. 1994. Memory and meta-memory considerations in the training of human beings. In Metcalfe, J. and Shimamura, A., eds., Metacognition: Knowing about Knowing, 185–205. Cambridge, MA: MIT Press.Google Scholar

Bjork, R. A., Dunlosky, J., and Kornell, N. 2013. Self-regulated learning: Beliefs, techniques, and illusions. Annual Review of Psychology 64: 417–444.Google Scholar

Born, J., Rasch, B., and Gais, S. 2006. Sleep to remember. The Neuroscientist 12: 410–424.Google Scholar

Bradley, M. M. 2009. Natural selective attention: Orienting and emotion. Psychophysiology 46: 1–11.CrossRefGoogle ScholarPubMed

Bransford, J. D., and Johnson, M. K. 1972. Contextual prerequisites for understanding: Some investigations of comprehension and recall. Journal of Verbal Learning and Verbal Behavior 11: 717–726.Google Scholar

Bruer, J. T. 2006. Points of view: On the implications of neuroscience research for science of teaching and learning: Are there any? CBE Life Sciences Education 5: 104–110.Google Scholar

Bunge, S. A., and Kahn, I. 2009. Cognition: An overview of neuroimaging techniques. Encyclopedia of Neuroscience 2: 1063–1067.Google Scholar

Butcher, K. R. 2006. Learning from text with diagrams: Promoting mental model development and inference generation. Journal of Educational Psychology 98: 182–197.Google Scholar

Carrier, L. M., Cheever, N. A., Rosen, L. D., Benitez, S., and Chang, J. 2009. Multitasking across generations: Multitasking choices and difficulty ratings in three generations of Americans. Computers in Human Behavior 25: 483–489.Google Scholar

Carter, M., and Beier, M. E. 2010. The effectiveness of error management training with working-aged adults. Personnel Psychology 63: 641–675.Google Scholar

Cepeda, N. J., Pashler, H., Vul, E., Wixted, J. T., and Rohrer, D. 2006. Distributed practice in verbal recall tasks: A review and quantitative synthesis. Psychological Bulletin 132: 354–380.Google Scholar

Chandler, P., and Sweller, J. 1991. Cognitive load theory and the format of instruction. Cognition and Instruction 8: 293–332.Google Scholar

Clark, R. C. 2014. Evidence-Based Training Methods: A Guide for Training Professionals. Arlington, VA: American Society for Training and Development.Google Scholar

Clark, R. C., and Mayer, R. E. 2008. Learning by viewing versus learning by doing: Evidence-based guidelines for principled learning environments. Performance Improvement 47 (9): 5–13.Google Scholar

Clark, R. E., and Voogel, A. 1985. Transfer of training principles for instructional design. Education Communication and Technology Journal 33: 113–123.Google Scholar

Corbalan, G., Paas, F., and Cuypers, H. 2010. Computer-based feedback in linear algebra: Effects on transfer performance and motivation. Computers and Education 55: 692–703.Google Scholar

Corbetta, M., and Shulman, G. L. 2002. Control of goal-directed and stimulus-driven attention in the brain. Nature Reviews: Neuroscience 3: 201–215.CrossRefGoogle ScholarPubMed

Craik, F. I., and Lockhart, R. S. 1972. Levels of processing: A framework for memory research. Journal of Verbal Learning and Verbal Behavior 11: 671–684.CrossRefGoogle Scholar

Curcio, G., Ferrara, M., and De Gennaro, L. 2006. Sleep loss, learning capacity and academic performance. Sleep Medicine Reviews 10: 323–337.Google Scholar

De Bruyckere, P., Kirschner, P. A., and Hulshof, C. D. 2015. Urban Myths about Learning and Education. New York: Academic Press.Google Scholar

Dempster, F. N. 1988. The spacing effect: A case study in the failure to apply the results of psychological research. American Psychologist 43: 627–634.Google Scholar

Devonshire, I. M., and Dommett, E. J. 2010. Neuroscience: Viable applications in education? Neuroscientist 16: 349–356.CrossRefGoogle ScholarPubMed

Diekelmann, S., and Born, J. 2010. The memory function of sleep. Nature Reviews Neuroscience 11: 114–126.Google Scholar

Dunlosky, J., Rawson, K. A., Marsh, E. J., Nathan, M. J., and Willingham, D. T. 2013. Improving students’ learning with effective learning techniques promising directions from cognitive and educational psychology. Psychological Science in the Public Interest 141: 4–58.Google Scholar

Estes, W. K. 1955. Statistical theory of distributional phenomena in learning. Psychological Review 62: 369–377.Google Scholar

Evans, D. R., Baer, R. A., and Segerstrom, S. C. 2009. The effects of mindfulness and self-consciousness on persistence. Personality and Individual Differences 47: 379–382.CrossRefGoogle Scholar

Fenn, K. M., Nusbaum, H. C., and Margoliash, D. 2003. Consolidation during sleep of perceptual learning of spoken language. Nature 42 (5): 614–616.Google Scholar

Gagné, R. M. 1965. The Conditions of Learning. New York: Holt, Rinehart and Winston.Google Scholar

Gazzaley, A., Cooney, J. W., Rissman, J., and D’Esposito, M. 2005. Top-down suppression deficit underlies working memory impairment in normal aging. Nature Neuroscience 8: 1298–1300.Google Scholar

Ginns, P., Martin, A. J., and Marsh, H. W. 2013. Designing instructional text in a conversational style: A meta-analysis. Educational Psychology Review 25: 445–472.Google Scholar

Glenberg, A. M. 1979. Component-levels theory of the effects of spacing of repetitions on recall and recognition. Memory and Cognition 7: 95–112.Google Scholar

Greenfield, P. M. 2009. Technology and informal education: What is taught, what is learned. Science 323 (5910): 69–71.CrossRefGoogle ScholarPubMed

Halls, J. 2014 . Memory and cognition in learning. Infoline; Tips, Tools, and Intelligence for Training 31 (May): Issue 1405.Google Scholar

Harrison, Y., and Horne, J. A. 2000. The impact of sleep deprivation on decision-making: A review. Journal of Experimental Psychology: Applied 6: 236–249.Google Scholar

Hesketh, B. 1997. Dilemmas in training for transfer and retention. Applied Psychology: An International Review 46: 317–339.Google Scholar

Howell, W. C., and Cooke, N. J. 1989. Training the human information processor: A look at cognitive models. In Goldstein, I., ed., Training and Development in Work Organizations, 121–182. New York: Jossey-Bass,Google Scholar

Hruby, G. G. 2012. Three requirements for justifying an educational neuroscience. British Journal of Educational Psychology 82: 1–23.Google Scholar

Kahn, W. A. 1990. Psychological conditions of personal engagement and disengagement at work. Academy of Management Journal 33: 692–724.Google Scholar

Kaplan, S., and Berman, M. G. 2010. Directed attention as a common resource for executive functioning and self-regulation. Perspectives on Psychological Science 5: 43–57.Google Scholar

Keith, N., and Frese, M. 2008. Effectiveness of error management training: A meta-analysis. Journal of Applied Psychology 93: 59–69.Google Scholar

Killgore, W.D.S. 2010. Effects of sleep deprivation on cognition. Progress in Brain Research 185: 105–129.Google Scholar

Klein, T. A., Neumann, J., Reuter, M., Hennig, J., Von Cramon, D. Y., and Ullsperger, M. 2014. Genetically determined differences in learning from errors. Science 318: 1642–1645.Google Scholar

Kluger, A. N., and DeNisi, A. 1996. The effects of feedback interventions on performance: A historical review, a meta-analysis, and a preliminary feedback intervention theory. Psychological Bulletin 119: 254–284.Google Scholar

Kraiger, K., Ford, J. K., and Salas, E. 1993. Application of cognitive, skill-based, and affective theories of learning outcomes to new methods of training evaluation. Journal of Applied Psychology 78: 311–328.Google Scholar

Mayer, R. E. 1979. Can advance organizers influence meaningful learning? Review of Educational Research 49: 371–383.Google Scholar

Mayer, R. E. 2008. Applying the science of learning: Evidence-based principles for the design of multimedia instruction. American Psychologist 63: 760–769.Google Scholar

Merriënboer, J. J., and Sweller, J. 2005. Cognitive load theory and complex learning: Recent developments and future directions. Educational Psychology Review 17: 147–177.Google Scholar

Moreno, R. 2004. Decreasing cognitive load for novice students: Effects of explanatory versus corrective feedback in discovery-based multimedia. Instructional science 32 (1–2): 99–113.Google Scholar

Morris, C. D., Bransford, J. D., and Franks, J. J. 1977. Levels of processing versus transfer appropriate processing. Journal of Verbal Learning and Verbal Behavior 16: 519–533.Google Scholar

Payne, J. D. 2011. Learning, memory and sleep in humans. Sleep Medicine Clinics 6: 15–30.Google Scholar

Poldrack, R. A. 2000. Imaging brain plasticity: conceptual and methodological issues – A theoretical review. Neuroimage 12: 1–13.Google Scholar

Posner, M. I., and Rothbart, M. K. 2007. Research on attention networks as a model for the integration of psychological science. Annual Review of Psychology 58: 1–23.Google Scholar

Renkl, A. 2005. The worked-out examples principle in multimedia learning. In Mayer, R. E., ed., Handbook of Multimedia Learning, 229–245. New York: Cambridge University Press.Google Scholar

Rey, G. D. 2012. A review of research and a meta-analysis of the seductive detail effect. Educational Research Review 7: 216–237.Google Scholar

Richtel, M. 2010. Growing up digital, wired for distraction. New York Times, Available from: http://www.nytimes.com/2010/11/21/technology/21brain.html?pagewanted=all&_r=0 (accessed April 23, 2017).Google Scholar

Roediger, H. L., and Karpicke, J. D. 2006. The power of testing memory: Basic research and implications for educational practice. Perspectives on Psychological Science 13: 181–210.Google Scholar

Rohrer, D., and Taylor, K. 2007. The shuffling of mathematics problems improves learning. Instructional Science 35: 481–498Google Scholar

Rohrer, D., Taylor, K., and Sholar, B. 2010. Tests enhance the transfer of learning. Journal of Experimental Psychology: Learning, Memory, and Cognition 36: 233–239.Google Scholar

Salas, E., and Cannon-Bowers, J. A. 2001. The science of training: A decade of progress. Annual review of psychology 52: 471–499.Google Scholar

Salas, E., Tannenbaum, S. I., Kraiger, K., and Smith-Jentsch, K. A. 2012. The science of training and development in organizations: What matters in practice. Psychological Science in the Public Interest 132: 74–101.Google Scholar

Sawaki, R., and Luck, S. J. 2010. Capture versus suppression of attention by salient singletons: Electrophysiological evidence for an automatic attend-to-me signal. Attention, Perception, and Psychophysics 72: 1455–1470.Google Scholar

Schmidt, R. A., and Bjork, R. A. 1992. New conceptualizations of practice: Common principles in three paradigms suggest new concepts for training. Psychological Science 3: 207–217.Google Scholar

Schunk, D. H., and Zimmerman, B. J., eds. 2012. Motivation and Self-regulated Learning: Theory, Research, and Applications. New York: Routledge.Google Scholar

Simon, H. A. 1998. What do we know about learning? Journal of Engineering Education 87: 343–348.Google Scholar

Sisti, H. M., Glass, A. L., and Shors, T. J. 2007. Neurogenesis and the spacing effect: Learning over time enhances memory and the survival of new neurons. Learning and Memory 14: 368–375.Google Scholar

Sitzmann, T., and Johnson, S. 2014. The paradox of seduction by irrelevant details: How irrelevant information helps and hinders self-regulated learning. Learning and Individual Differences 34: 1–11.Google Scholar

Sparrow, B., Liu, J., and Wegner, D. M. 2011. Google effects on memory: Cognitive consequences of having information at our fingertips. Science 333: 776–778.Google Scholar

Stickgold, R. 2005. Sleep-dependent memory consolidation. Nature 437: 1272–1278.Google Scholar

Sweller, J. 1999. Instructional Design in Technical Areas. Camberwell, Australia: ACER Press.Google Scholar

Taylor, K., and Rohrer, D. 2010. The effects of interleaved practice. Applied Cognitive Psychology 24: 837–848.Google Scholar

Tokuhama-Espinosa, T. 2014. Making Classrooms Better: 50 Practical Applications of Mind, Brain, and Education Science. New York: Norton.Google Scholar

Vago, D. R., and David, S. A. 2012. Self-awareness, self-regulation, and self-transcendence S-ART: A framework for understanding the neurobiological mechanisms of mindfulness. Frontiers in Human Neuroscience 6: 296.Google Scholar

Van Dongen, H. P. A., Maislin, G., Mullington, J. M., and Dinges, D. F. (2003). The cumulative cost of additional wakefulness: Dose–response effects on neurobehavioral functions and sleep physiology from chronic sleep restriction and total sleep deprivation. Sleep: Journal of Sleep and Sleep Disorders Research 26: 117–126.Google Scholar

Walker, M. P., Brakefield, T., Morgan, A., Hobson, J. A., and Stickgold, R. 2002. Practice with sleep makes perfect: Sleep-dependent motor skill learning. Neuron 35: 205–211.Google Scholar

Willingham, D. T. 2009. Three problems in the marriage of neuroscience and education. Cortex 45: 544–545.Google Scholar

Willingham, D. T. 2012. Neurosci and educ.–5 days, 5 ways. Day 4: Confirm a construct. December 6. http://www.danielwillingham.com/daniel-willingham-science-and-education-blog/neurosci-educ-5-days-5-ways-day-4-confirm-a-construct (accessed May 11, 2016).Google Scholar

Wilson, C. L., Huang, J. L., and Kraiger, K. 2013. Personality and the analysis, design, and delivery of training. In Christiansen, N. D. and Tett, R. P., eds., Handbook of Personality at Work, 543–564. New York: Routledge.Google Scholar

Wulf, G., and Shea, C. H. 2002. Principles derived from the study of simple skills do not generalize to complex skill learning. Psychonomic Bulletin and Review 9: 185–211.Google Scholar

Abell, P., Felin, T., and Foss, N. 2008. Building micro foundations for the routines, capabilities, and performance links. Managerial and Decision Economics 29: 489–502.Google Scholar

Aguinis, H., and Kraiger, K. 2009. Benefits of training and development for individuals and teams, organizations, and society. Annual Review of Psychology 60: 451–474.Google Scholar

Ahuja, G., and Morris Lampert, C. 2001. Entrepreneurship in the large corporation: A longitudinal study of how established firms create breakthrough inventions. Strategic Management Journal 22: 521–543.Google Scholar

Alexiev, A. S., Jansen, J. J., Van den Bosch, F. A., and Volberda, H. W. 2010. Top management team advice seeking and exploratory innovation: The moderating role of TMT heterogeneity. Journal of Management Studies 47: 1343–1364.Google Scholar

Amit, R., and Schoemaker, P. J. 1993. Strategic assets and organizational rent. Strategic Management Journal 14: 33–46.Google Scholar

Argote, L., ed. 2013. Organizational Learning: Creating, Retaining and Transferring Knowledge, 2nd ed. New York: Springer.Google Scholar

Argote, L., and Ingram, P. 2000. Knowledge transfer: A basis for competitive advantage in firms. Organizational Behavior and Human Decision Processes 82: 150–169.Google Scholar

Argote, L., and Miron-Spektor, E. 2011. Organizational learning: From experience to knowledge. Organization Science 22: 1123–1137.Google Scholar

Argyris, C., and Schon, D. 1978. Organizational Learning: A Theory of Action Approach. Reading, MA: Addision Wesley.Google Scholar

Arthur, W., Jr., Bennett, W. Jr., Edens, P. S., and Bell, S. T. 2003. Effectiveness of training in organizations: A meta-analysis of design and evaluation features. Journal of Applied Psychology 88: 234–245.Google Scholar

Augier, M., and Teece, D. J. 2009. Dynamic capabilities and the role of managers in business strategy and economic performance. Organization Science 20: 410–421.Google Scholar

Barney, J. 1991. Firm resources and sustained competitive advantage. Journal of Management 17: 99–120.CrossRefGoogle Scholar

Barney, J. B. 1992. Integrating organizational behavior and strategy formulation research: A resource based analysis. Advances in Strategic Management 8: 39–61.Google Scholar

Barney, J., and Felin, T. 2013. What are microfoundations? Academy of Management Perspectives 27: 138–155.Google Scholar

Bauer, T. N., and Erdogan, B. 2014. Delineating and reviewing the role of newcomer capital in organizational socialization. Annual Review of Organizational Psychology and Organizational Behavior 1: 439–457.Google Scholar

Bear, D. J., Tompson, H. B., Morrison, C. L., Vickers, M., Paradise, A., Czarnowsky, M., Soyars, M., and King, K. 2008. Tapping the Potential of Informal Learning: An ASTD Research Study. Alexandria, VA: American Society for Training and Development.Google Scholar

Becker, M. C. 2004. Organizational routines: A review of the literature. Industrial and Corporate Change 13: 643–678.Google Scholar

Bereiter, C., and Scardamalia, M. 1993. Surpassing Ourselves: An Inquiry into the Nature and Implications of Expertise. Chicago: Open Court.Google Scholar

Blume, B. D., Ford, J. K., Baldwin, T. T., and Huang, J. L. 2010. Transfer of training: A meta-analytic review. Journal of Management 36: 1065–1105.Google Scholar

Boumgarden, P., Nickerson, J., and Zenger, T. R. 2012. Sailing into the wind: Exploring the relationships among ambidexterity, vacillation, and organizational performance. Strategic Management Journal 33: 587–610.Google Scholar

Brandenburger, A. M., and Stuart, H. W. 1996. Value-based business strategy. Journal of Economics and Management Strategy 5: 5–24.Google Scholar

Brass, D. J., Galaskiewicz, J., Greve, H. R., and Tsai, W. 2004. Taking stock of networks and organizations: A multilevel perspective. Academy of Management Journal 47: 795–817.Google Scholar

Brown, J. S., and Duguid, P. 2001. Knowledge and organization: A social-practice perspective. Organization Science 12: 198–213.Google Scholar

Brown, K. G., and Sitzmann, T. 2011. Training and employee development for improved performance. In Zedeck, S., ed., APA Handbook of Industrial and Organizational Psychology, 469–503. Washington, DC: American Psychological Association.Google Scholar

Buchholtz, A. K., Ribbens, B. A., and Houle, I. T. 2003. The role of human capital in postacquisition CEO departure. Academy of Management Journal 46: 506–514.Google Scholar

Burns, T. E., and Stalker, G. M. 1961. The Management of Innovation. Champaign, IL: Academy for Entrepreneurial LeadershipGoogle Scholar

Burt, R. S. 1992. Structural Holes. Cambridge, MA: Harvard Business School Press.Google Scholar

Burton, R. M., Eriksen, B., Håkonsson, D. D., and Snow, C. C. 2006. Organization Design: The Evolving State-of-the-Art. New York: Springer.Google Scholar

Cabrera, A., and Cabrera, E. F. 2002. Knowledge-sharing dilemmas. Organization Studies 23: 687–710.Google Scholar

Cabrera, E. F., and Cabrera, A. 2005. Fostering knowledge sharing through people management practices. The International Journal of Human Resource Management 16: 720–735.Google Scholar

Campbell, B. A., Coff, R., and Kryscynski, D. 2012. Rethinking sustained competitive advantage from human capital. Academy of Management Review 37: 376–395.Google Scholar

Choi, W., and Jacobs, R. L. 2011. Influences of formal learning, personal learning orientation, and supportive learning environment on informal learning. Human Resource Development Quarterly 22: 239–257.Google Scholar

Coff, R., and Kryscynski, D. 2011. Drilling for micro-foundations of human capital–based competitive advantages. Journal of Management 37: 1429–1443.Google Scholar

Cohen, M. D., Burkhart, R., Dosi, G., Egidi, M., Marengo, L., Warglien, M., and Winter, S. 1996. Routines and other recurring action patterns of organizations: Contemporary research issues. Industrial and Corporate Change 5: 653–698.Google Scholar

Cohen, W. M., and Levinthal, D. A. 1990. Absorptive capacity: A new perspective on learning and innovation. Administrative Science Quarterly 35: 128–152.Google Scholar

Coleman, J. S. 1988. Social capital in the creation of human capital. American Journal of Sociology 94: S95–S120.Google Scholar

Coletti, A. L., Sedatole, K. L., and Towry, K. L. 2005. The effect of control systems on trust and cooperation in collaborative environments. The Accounting Review 80: 477–500.Google Scholar

Colombo, M. G., and Grilli, L. 2005. Founders’ human capital and the growth of new technology-based firms: A competence-based view. Research Policy 34: 795–816.Google Scholar

Colquitt, J. A., LePine, J. A., and Noe, R. A. 2000. Toward an integrative theory of training motivation: A meta-analytic path analysis of 20 years of research. Journal of Applied Psychology 85: 678–707.Google Scholar

Connelly, C. E., Zweig, D., Webster, J., and Trougakos, J. P. 2012. Knowledge hiding in organizations. Journal of Organizational Behavior 33: 64–88.Google Scholar

Creed, W. D., and Miles, R. E. 1996. Trust in organizations: A conceptual framework linking organizational forms, managerial philosophies, and the opportunity cost of controls. In Tyler, T. R. and Kramer, R. M., eds., Trust in Organizations: Frontiers of Theory and Research, 16–38. Thousand Oaks, CA: Sage.Google Scholar

Crossan, M. M., Lane, H. W., and White, R. E. 1999. An organizational learning framework: From intuition to institution. Academy of Management Review 24: 522–537.Google Scholar

Csaszar, F. A. 2013. An efficient frontier in organization design: Organizational structure as a determinant of exploration and exploitation. Organization Science 24: 1083–1101.Google Scholar

Cummings, J. N. 2004. Work groups, structural diversity, and knowledge sharing in a global organization. Management Science 50: 352–364.Google Scholar

Damodaran, L., and Olphert, W. 2000. Barriers and facilitators to the use of knowledge management systems. Behaviour and Information Technology 19: 405–413.Google Scholar

Davis, J. P., Eisenhardt, K. M. and Bingham, C. B. 2009. Optimal structure, market dynamism, and the strategy of simple rules. Administrative Science Quarterly 54: 413–52.Google Scholar

DeRue, D. S., Ashford, S. J., and Myers, C. G. 2012. Learning agility: In search of conceptual clarity and theoretical grounding. Industrial and Organizational Psychology 5: 258–279.Google Scholar

Dierickx, I., and Cool, K. 1989. Asset stock accumulation and sustainability of competitive advantage. Management Science 35: 1504–1511.Google Scholar

Doornbos, A. J., Simons, R. J., and Denessen, E. 2008. Relations between characteristics of workplace practices and types of informal work-related learning: A survey study among Dutch Police. Human Resource Development Quarterly 19: 129–151.Google Scholar

Dosi, G., Nelson, R. R., and Winter, S. G. 2000. Introduction: The nature and dynamics of organizational capabilities. The Nature and Dynamics of Organizational Capabilities 1: 24.Google Scholar

Ducan, R. B., and Weiss, A. 1979. Organizational learning: Implications for organizational design. In Staw, B., ed., Research in Organizational Behavior, 1: 75–123. Greenwich, CT: JAI Press.Google Scholar

Edmondson, A. 1999. Psychological safety and learning behavior in work teams. Administrative Science Quarterly 44: 350–383.Google Scholar

Edmonson, A. C. 2002. The local and variegated nature of learning in organizations: A group-level perspective. Organization Science 13: 128–146.Google Scholar

Eisenhardt, K. M. 1989. Making fast strategic decisions in high-velocity environments. Academy of Management Journal 32: 543–576.Google Scholar

Eisenhardt, K. M., and Martin, J. A. 2000. Dynamic capabilities: What are they? Strategic Management Journal 21: 1105–1121.Google Scholar

Eisenhardt, K. M., Furr, N. R., and Bingham, C. B. 2010. CROSSROADS-microfoundations of performance: Balancing efficiency and flexibility in dynamic environments. Organization Science 21: 1263–1273.Google Scholar

Ellinger, A. D. 2005. Contextual factors influencing informal learning in a workplace setting: The case of reinventing itself company. Human Resource Development Quarterly 16: 389–415.Google Scholar

Elliot, A. J., and Dweck, C. S., eds. 2013. Handbook of Competence and Motivation. New York: Guilford Publications.Google Scholar

Ericsson, K. A., Krampe, R. T., and Tesch-Römer, C. 1993. The role of deliberate practice in the acquisition of expert performance. Psychological Review 100: 363–406.Google Scholar

Ericsson, K. A., Charness, N., Feltovich, P. J., and Hoffman, R. R., eds. 2006. Handbook of Expertise and Expert Performance. New York: Cambridge University Press.Google Scholar

Feldman, D. C. 1976. A contingency theory of socialization. Administrative Science Quarterly 21: 433–452.Google Scholar

Feldman, D. C. 1981. The multiple socialization of organization members. Academy of Management Review 6: 309–319.Google Scholar

Feldman, D. C. 2012. The impact of socializing. In Wanberg, C., ed., The Oxford Handbook of Organizational Socialization, 215–229. New York: Oxford University Press.Google Scholar

Feldman, D. C., and O’Neill, O. A. 2014. The role of socialization, orientation, and training programs in transmitting culture and climate and enhancing performance. In Schneider, B. and Barbera, K. M., eds., The Oxford Handbook of Organizational Climate and Culture, 44–64. New York: Oxford University Press.Google Scholar

Feldman, M. S. 2000. Organizational routines as a source of continuous change. Organization Science 11: 611–629.Google Scholar

Feldman, M. S. 2003. A performative perspective on stability and change in organizational routines. Industrial and Corporate Change 12: 727–752.Google Scholar

Feldman, M. S., and Pentland, B. T. 2003. Reconceptualizing organizational routines as a source of flexibility and change. Administrative Science Quarterly 48: 94–118.Google Scholar

Felin, T., Foss, N. J., Heimeriks, K. H., and Madsen, T. L. 2012. Microfoundations of routines and capabilities: Individuals, processes, and structure. Journal of Management Studies 49: 1351–1374.Google Scholar

Fiol, C. M., and Lyles, M. A. 1985. Organizational learning. Academy of Management Review 10: 803–813.Google Scholar

Floyd, S. W., and Lane, P. J. 2000. Strategizing throughout the organization: Managing role conflict in strategic renewal. Academy of Management Review 25: 154–177.Google Scholar

Foss, N. J. 2003. Bounded rationality and tacit knowledge in the organizational capabilities approach: An evaluation and a stocktaking. Industrial and Corporate Change 12: 185–201.Google Scholar

Foss, N. J., and Knudsen, C., eds. 2013. Towards a Competence Theory of the Firm. London: Routledge.Google Scholar

Garicano, L., and Wu, Y. 2012. Knowledge, communication, and organizational capabilities. Organization Science 23: 1382–1397.Google Scholar

Gibson, C. B., and Birkinshaw, J. 2004. The antecedents, consequences, and mediating role of organizational ambidexterity. Academy of Management Journal 47: 209–226.Google Scholar

Gittell, J. H. and Weiss, L. 2004. Coordination networks within and across organizations: A multi-level framework. Journal of Management Studies 41: 127–153.Google Scholar

Good, D., and Michel, E. J. 2013. Individual ambidexterity: Exploring and exploiting in dynamic contexts. The Journal of Psychology 147: 435–453.Google Scholar

Grant, R. M. 1991. A resource-based theory of competitive advantage: Implications for strategy formulation. California Management Review (Spring): 114–135.CrossRefGoogle Scholar

Grant, R. M. 1996. Toward a knowledge-based theory of the firm. Strategic Management Journal 17: 109–122.Google Scholar

Gulati, R., and Puranam, P. 2009. Renewal through reorganization: The value of inconsistencies between formal and informal organization. Organization Science 20: 422–440.Google Scholar

Gully, S., and Chen, G. 2010. Individual differences, attribute-treatment interactions, and training outcome. In Kozlowski, S. W. J. and Salas, E., eds., Learning, Training, and Development in Organizations, 3–64. New York: Routledge.Google Scholar

Gupta, A. K., Smith, K. G., and Shalley, C. E. 2006. The interplay between exploration and exploitation. Academy of Management Journal 49: 693–706.CrossRefGoogle Scholar

Hansen, M. T., Podolny, J. M., and Pfeffer, J. 2001. So many ties, so little time: A task contingency perspective on corporate social capital in organizations. Research in the Sociology of Organizations 18: 21–57.Google Scholar

Hatch, N. W., and Dyer, J. H. 2004. Human capital and learning as a source of sustainable competitive advantage. Strategic Management Journal 25: 1155–1178.Google Scholar

Henderson, R., and Cockburn, I. 1994. Measuring competence? Exploring firm effects in pharmaceutical research. Strategic Management Journal 15: 63–84.Google Scholar

Herling, R. W. 2000. Operational definitions of expertise and competence. Advances in Developing Human Resources 2: 8–21.Google Scholar

Herling, R. W., and Provo, J. 2000. Knowledge, competence, and expertise in organizations. Advances in Developing Human Resources 2: 1–7.Google Scholar

Hinds, P. J., Patterson, M., and Pfeffer, J. 2001. Bothered by abstraction: The effect of expertise on knowledge transfer and subsequent novice performance. Journal of Applied Psychology 86: 1232–1243.Google Scholar

Hodgkinson, G. P., and Healey, M. P. 2011. Psychological foundations of dynamic capabilities: Reflexion and reflection in strategic management. Strategic Management Journal 32: 1500–1516.Google Scholar

Hoffman, R. R., Shadbolt, N. R., Burton, A. M., and Klein, G. 1995. Eliciting knowledge from experts: A methodological analysis. Rational Behavior and Human Decision Processes 62: 129–158.Google Scholar

Hoopes, D. G., and Madsen, T. L. 2008. A capability-based view of competitive heterogeneity. Industrial and Corporate Change 17: 393–426.Google Scholar

Hoopes, D. G., and Postrel, S. 1999. Shared knowledge, glitches, and product development performance. Strategic Management Journal 29: 837–865.Google Scholar

Huber, G. P. 1991. Organizational learning: The contributing processes and the literatures. Organization Science 2: 88–115.Google Scholar

Hunt, J. G. J., and Ropo, A. 1995. Multi-level leadership: Grounded theory and mainstream theory applied to the case of General Motors. The Leadership Quarterly 6: 379–412.Google Scholar

Jacobs, R. 2003. Structured On-the-job Training: Unleashing Employee Expertise in the Workplace. Oakland, CA: Berrett-Koehler Publishers.Google Scholar

Jacobs, R. L. 1997. The taxonomy of employee development: Toward an organizational culture of expertise. In Torraco, R. J., ed., AHRD Conference Proceedings, 278–283. Baton Rouge, LA: Academy of Human Resources Development.Google Scholar

Jaffee, D. 2001. Organization Theory: Tension and Change. New York: McGraw-Hill: 1–315.Google Scholar

Jansen, J. J., George, G., Van den Bosch, F. A., and Volberda, H. W. 2008. Senior team attributes and organizational ambidexterity: The moderating role of transformational leadership. Journal of Management Studies 45: 982–1007.Google Scholar

Jensen, A. R. 1998. The g Factor: The Science of Mental Ability. Westport, CT: Praeger.Google Scholar

Kanfer, R. 1990. Motivation theory and industrial and organizational psychology. In Dunnette, M. D. and Hough, L., eds., Handbook of Industrial and Organizational Psychology 1: 75–130. Palo Alto, CA: Consulting Psychologists Press.Google Scholar

Kim, D. H. 1993. The link between individual and organizational learning. Sloan Management Review 35: 35–50.Google Scholar

Kim, D. H. 1998. The link between individual and organizational learning. In D. A. Klein, ed., The Strategic Management of Intellectual Capital, 41–62. Woburn, MA: Butterworth-Heineman.Google Scholar

Kirkman, B. L., Mathieu, J. E., Cordery, J. L., Rosen, B., and Kukenberger, M. 2011. Managing a new collaborative entity in business organizations: Understanding organizational communities of practice effectiveness. Journal of Applied Psychology 96: 1234.Google Scholar

Kogut, B., and Zander, U. 1992. Knowledge of the firm, combinative capabilities, and the replication of technology. Organization Science 3: 383–397.Google Scholar

Kogut, B., and Zander, U. 1996. What firms do? Coordination, identity, and learning. Organization Science 7: 502–518.Google Scholar

Kor, Y. Y., and Leblebici, H. 2005. How do interdependencies among human-capital deployment, development, and diversification strategies affect firms’ financial performance? Strategic Management Journal 26: 967–985.Google Scholar

Kostopoulos, K. C., and Bozionelos, N. 2011. Team exploratory and exploitative learning: psychological safety, task conflict, and team performance. Group and Organization Management 36: 385–415.Google Scholar

Kozlowski, S. W. J., Brown, K. G., Weissbein, D. A., Cannon-Bowers, J. A., and Salas, E. 2000. A multilevel approach to training effectiveness: Enhancing horizontal and vertical transfer. In Klein, K. J. and Kozlowski, S. W. J., eds., Multilevel Theory, Research, and Methods in Organizations, 157–210. San Francisco: Jossey-Bass.Google Scholar

Kozlowski, S. W. J., and Klein, K. J. 2000. A multilevel approach to theory and research in organizations: Contextual, temporal, and emergent processes. In Klein, K. J. and Kozlowski, S. W. J., eds., Multilevel Theory, Research, and Methods in Organizations, 3–90. San Francisco: Jossey-Bass.Google Scholar

Kyndt, E., Dochy, F., and Nijs, H. 2009. Learning conditions for non-formal and informal workplace learning. Journal of Workplace Learning 21: 369–383.Google Scholar

Lado, A. A., and Wilson, M. C. 1994. Human resource systems and sustained competitive advantage: A competency-based perspective. Academy of Management Review 19: 699–727.Google Scholar

Langfred, C. W. 2004. Too much of a good thing? Negative effects of high trust and individual autonomy in self-managing teams. Academy of Management Journal 47: 385–399.Google Scholar

Leonard-Barton, D. 1992. Core capabilities and core rigidities: A paradox in managing new product development. Strategic Management Journal 13: 111–125.Google Scholar

Lepak, D. P., Smith, K. G., and Taylor, M. S. 2007. Value creation and value capture: A multilevel perspective. Academy of Management Review 32: 180–194.Google Scholar

Levitt, B., and March, J. G. 1988. Organizational Learning. Annual Review of Sociology 14: 319–340.Google Scholar

Li, L. C., Grimshaw, J. M., Nielsen, C., Judd, M., Coyte, P. C., and Graham, I. D. 2009. Evolution of Wenger’s concept of community of practice. Implementation Science 4: 11.Google Scholar

Lippman, S. S., and Rumelt, R. P. 1982. Uncertainty imitability: An analysis of interfirm differences in efficiency under competition. The Bell Journal of Economics 13: 418–438.Google Scholar

Lippman, S. A., and Rumelt, R. P. 2003. The payments perspective: Micro-foundations of resource analysis. Strategic Management Journal 24: 903–927.Google Scholar

March, J. G. 1991. Exploration and exploitation in organizational learning. Organization Science 2: 71–87.Google Scholar

Martin, H. J. 2010. Improving training impact through effective follow-up: Techniques and their application. Journal of Management Development 29: 520–534.Google Scholar

Mathieu, J. E., and Chen, G. 2010. The etiology of the multilevel paradigm in management research. Journal of Management 37: 610–641.Google Scholar

Mathieu, J. E., and Tesluk, P. E. 2010. A multilevel perspective on training and development effectiveness. In Kozlowski, S. W. J. and Salas, E., eds., Learning, Training, and Development in Organizations, 405–442. New York: Routledge.Google Scholar

Maurer, I., Bartsch, V., and Ebers, M. 2011. The value of intra-organizational social capital: How it fosters knowledge transfer, innovation performance, and growth. Organization Studies 32: 157–185.Google Scholar

McEvily, B., Perrone, V., and Zaheer, A. 2003. Trust as an organizing principle. Organization Science 14: 91–103.Google Scholar

Miller, , D., and Shamsie, J. 1996. The resource-based view of the firm in two environments: The Hollywood film studios from 1936 to 1965. Academy of Management Journal 39: 519–543.Google Scholar

Miller, L. 2012. State of the Industry, 2012. Alexandria, VA: American Society for Training and Development.Google Scholar

Miner, A. S., and Haunschild, P. R. 1995. Population-level learning. In Cummings, L. and Staw, B. M., eds., Research in Organizational Behavior 17, 115–166.Google Scholar

Mom, T. J., Van den Bosch, F. A., and Volberda, H. W. 2009. Understanding variation in managers’ ambidexterity: Investigating direct and interaction effects of formal structural and personal coordination mechanisms. Organization Science 20: 812–828.Google Scholar

Murase, T., Doty, D., Wax, A. M. Y., DeChurch, L. A., and Contractor, N. S. 2012. Teams are changing: Time to think networks. Industrial and Organizational Psychology 5(1): 41–44.Google Scholar

Nahapiet, J., and Ghoshal, S. 1998. Social capital, intellectual capital, and the organizational advantage. Academy of Management Review 23: 242–266.Google Scholar

Nelson, R. R., and Winter, S. G. 1982. An Evolutionary Theory of Economic Change. Cambridge: Belknap.Google Scholar

Nickerson, J. A., and Zenger, T. R. 2002. Being efficiently fickle: A dynamic theory of organizational choice. Organization Science 13: 547–566.Google Scholar

Noe, R. A. 2013. Employee Training and Development, 6th ed. Burr Ridge, IL: McGraw-Hill/Irwin.Google Scholar

Noe, R. A., Clarke, A. D., and Klein, H. J. 2014. Learning in the twenty-first-century workplace. Annual Review of Organizational Psychology and Organizational Behavior 1: 245–275.Google Scholar

Noe, R. A., Tews, M. J., and Marand, A. D. 2013. Individual differences and informal learning in the workplace. Journal of Vocational Behavior 83: 327–335.Google Scholar

Nonaka, I. 1994. A dynamic theory of organizational knowledge creation. Organization Science 5: 14–37.Google Scholar

Nonaka, I., and Von Krogh, G. 2009. Perspective-tacit knowledge and knowledge conversion: Controversy and advancement in organizational knowledge creation theory. Organization Science 20: 635–652.Google Scholar

O’Reilly, C. A., and Tushman, M. L. 2004. The ambidextrous organization. Harvard Business Review (April): 74–83.Google Scholar

O’Reilly, C. A., and Tushman, M. L. 2008. Ambidexterity as a dynamic capability: Resolving the innovator’s dilemma. Research in Organizational Behavior 28: 185–206.Google Scholar

O’Reilly, C. A., and Tushman, M. L. 2013. Organizational ambidexterity: Past, present, and future. Academy of Management Perspectives 27: 324–338.Google Scholar

Ouchi, W. G. 1992. A Conceptual Framework for the Design of Organizational Control Mechanisms. New York: Springer US.Google Scholar

Parmigiani, A., and Mitchell, W. 2009. Complementarity, capabilities, and the boundaries of the firm: The impact of within-firm and interfirm expertise on concurrent sourcing of complementary components. Strategic Management Journal 30: 1065–1091.Google Scholar

Penrose, E. T. 1959. The Theory of the Growth of the Firm. Oxford: Oxford University Press.Google Scholar

Pentland, B. T., and Rueter, H. H. 1994. Organizational routines as grammars of action. Administrative Science Quarterly 39: 484–510.Google Scholar

Peteraf, M. A. 1993. The cornerstones of competitive advantage: A resource-based view. Strategic Management Journal 14: 179–191.Google Scholar

Ployhart, R. E., and Moliterno, T. P. 2011. Emergence of the human capital resource: A multilevel model. Academy of Management Review 36: 127–150.Google Scholar

Ployhart, R. E., Weekley, J. A., and Baughman, K. 2006. The structure and function of human capital emergence: A multilevel examination of the attraction-selection-attrition model. Academy of Management Journal 49: 661–677.Google Scholar

Pulakos, E. D., Dorsey, D. W., and Borman, W. C. 2003. Hiring for knowledge-based competition. In Jackson, S. E., DeNisi, A., and Hitt, M. A., eds., Managing Knowledge for Sustained Competitive Advantage: Designing Strategies for Effective Human Resource Management, 155–161. San Francisco, CA: Wiley.Google Scholar

Pulakos, E. D., Arad, S., Donovan, M. A., and Plamondon, K. E. 2000. Adaptability in the workplace: Development of a taxonomy of adaptive performance. Journal of Applied Psychology 85: 612–624.Google Scholar

Quiñones, M. A., Ford, J. K., Sego, D. J., and Smith, E. M. 1995. The effects of individual and transfer environment characteristics on the opportunity to perform trained tasks. Training Research Journal 1: 29–49.Google Scholar

Raisch, S., Birkinshaw, J., Probst, G., and Tushman, M. L. 2009. Organizational ambidexterity: Balancing exploitation and exploration for sustained performance. Organization Science 20: 685–695.Google Scholar

Reed, R., and DeFillippi, R. J. 1990. Causal ambiguity, barriers to imitation, and sustainable competitive advantage. Academy of Management Review 15: 88–102.Google Scholar

Rivkin, J. W., and Siggelkow, N. 2003. Balancing search and stability: Interdependencies among elements of organizational design. Management Science 49: 290–311.Google Scholar

Rogan, M., and Mors, M. L. 2014. A network perspective on individual-level ambidexterity in organizations. Organization Science 25: 1860–1877.Google Scholar

Rousseau, D. M. 1985. Issues of level in organizational research: Multi-level and cross-level perspectives. Research in Organizational Behavior 7: 1–37.Google Scholar

Salas, E., Tannenbaum, S. I., Kraiger, K., and Smith-Jentsch, K. A. 2012. The science of training and development in organizations: What matters in practice. Psychological Science in the Public Interest 13: 74–101.Google Scholar

Schilling, M. A., and Phelps, C. C. 2007. Interfirm collaboration networks: The impact of large-scale network structure on firm innovation. Management Science 53: 1113–1126.Google Scholar

Sears, J., and Hoetker, G. 2014. Technological overlap, technological capabilities, and resource recombination in technological acquisitions. Strategic Management Journal 35: 48–67.Google Scholar

Siggelkow, N. 2001. Change in the presence of fit: The rise, the fall, and the renaissance of Liz Claiborne. Academy of Management Journal 44: 838–857.Google Scholar

Siggelkow, N., and Levinthal, D. A. 2003. Temporarily divide to conquer: Centralized, decentralized, and reintegrated organizational approaches to exploration and adaptation. Organization Science 14: 650–669.Google Scholar

Siggelkow, N., and Levinthal, D. A. 2005. Escaping real (non-benign) competency traps: Linking the dynamics of organizational structure to the dynamics of search. Strategic Organization 3: 85–115.Google Scholar

Simon, H. 1991. Bounded rationality and organizational learning. Organization Science 2: 125–134.Google Scholar

Sitzmann, T., and Weinhardt, J. M. 2015. Training engagement theory: A multilevel perspective on the effectiveness of work-related training. Journal of Management, in press.Google Scholar

Smith, K. G., Collins, C. J., and Clark, K. D. 2005. Existing knowledge, knowledge creation capability, and the rate of new product introduction in high-technology firms. Academy of Management Journal 48: 346–357.Google Scholar

Smith, W. K., and Tushman, M. L. 2005. Managing strategic contradictions: A top management model for managing innovation streams. Organization Science 16: 522–536.Google Scholar

Stalk, G., Evans, P., and Shulman, L. E. 1992. Competing on capabilities: The new rules of corporate strategy. Harvard Business Review (March–April): 57–69.Google Scholar

Subramaniam, M., and Youndt, M. A. 2005. The influence of intellectual capital on the types of innovative capabilities. Academy of Management Journal 48: 450–463.Google Scholar

Sung, S. Y., and Choi, J. N. 2012. Effects of team knowledge management on the creativity and financial performance of organizational teams. Organizational Behavior and Human Decision Processes 118: 4–13.Google Scholar

Swanson, R. A. 1994. Analysis for Improving Performance: Tools for Diagnosing Organizations and Documenting Workplace Expertise. San Francisco: Berrett-Koehler.Google Scholar

Szulanski, G. 1996. Exploring internal stickiness: Impediments to the transfer of best practice within the firm. Strategic Management Journal 17: 27–43.Google Scholar

Tannenbaum, S. I., and Yukl, G. 1992. Training and development in work organizations. Annual Review of Psychology 43: 399–441.Google Scholar

Tannenbaum, S. I., Beard, R. L., McNall, L. A., and Salas, E. 2010. Informal learning and development in organizations. In Kozlowski, S. W. J. and Salas, E., eds., Learning, Training, and Development in Organizations, 303–332. Philadelphia: Taylor and Francis.Google Scholar

Tannenbaum, S. I., Mathieu, J. E., Salas, E., and Cohen, D. 2012. Teams are changing: Are research and practice evolving fast enough? Industrial and Organizational Psychology 5: 2–24.Google Scholar

Teece, D. J. 1982. Towards an economic theory of the multiproduct firm. Journal of Economic Behavior and Organization 3: 39–63.Google Scholar

Teece, D. J. 2007. Explicating dynamic capabilities: The nature and microfoundations of (sustainable) enterprise performance. Strategic Management Journal 28: 1319–1350.Google Scholar

Teece, D. J., Pisano, G., and Shuen, A. 1997. Dynamic capabilities and strategic management. Strategic Management Journal 18 (7): 509–533.Google Scholar

Tracey, J. B., Tannenbaum, S. I., and Kavanagh, M. J. 1995. Applying trained skills on the job: The importance of the work environment. Journal of Applied Psychology 80: 239–252.Google Scholar

Treacy, M., and Wiersema, F. 1993. Customer intimacy and other value disciplines. Harvard Business Review (January–February): 84–93.Google Scholar

Van Maanen, J., and Schein, E. 1979. Toward a theory of organizational socialization. Research in Organizational Behavior 1: 209–264.Google Scholar

Volberda, H. W., and Lewin, A. Y. 2003. Co-evolutionary dynamics within and between firms: From evolution to co-evolution. Journal of Management Studies 40: 2111–2136.Google Scholar

Von Krogh, G., Ichijo, K., and Nonaka, I. 2000. Enabling Knowledge Creation: How to Unlock the Mystery of Tacit Knowledge and Release the Power of Innovation. Oxford: Oxford University Press.Google Scholar

Wang, S., and Noe, R. A. 2010. Knowledge sharing: A review and directions for future research. Human Resource Management Review 20: 115–131.Google Scholar

Wernerfelt, B. 1984. A resource-based view of the firm. Strategic Management Journal 5: 171–180.Google Scholar

Winter, S. 1987. Knowledge and competence as strategic assets. In Teece, D. J., ed., The Competitive Challenge: Strategies for Industrial Innovation and Renewal, 159–184. Cambridge, MA: Ballinger.Google Scholar

Winter, S. G. 1995. Four Rs of profitability: Rents, resources, routines, and replication. In Montgomery, C. A., ed., Resource-Based and Evolutionary Theories of the Firm, 147–178. New York: Springer.Google Scholar

Winter, S. G. 2003. Understanding dynamic capabilities. Strategic Management Journal 24: 991–995.Google Scholar

Zahra, S. A., and George, G. 2002. Absorptive capacity: A review, reconceptualization, and extension. Academy of Management Review 27: 185–203.Google Scholar

Zander, U., and Kogut, B. 1995. Knowledge and the speed of the transfer and imitation of organizational capabilities: An empirical test. Organization Science 6: 76–92.Google Scholar

Zollo, M., and Winter, S. G. 2002. Deliberate learning and the evolution of dynamic capabilities. Organization Science 13: 339–351.Google Scholar

Allworth, E., and Hesketh, B. 1999. Construct-oriented biodata: Capturing change-related and contextually relevant future performance. International Journal of Selection and Assessment 7: 97–111.Google Scholar

Ashford, S. J., and Taylor, M. S. 1990. Adaptation to work transitions: An integrative approach. Research in Personnel and Human Resources Management 8: 1–39.Google Scholar

Axtell, C. M., Maitlis, S., and Yearta, S. K. 1997. Predicting immediate and longer-term transfer of training. Personnel Review 26: 201–213.Google Scholar

Baard, S. K., Rench, T. A., and Kozlowski, S. W. J. 2014. Performance adaptation: A theoretical integration and review. Journal of Management 40: 48–99.Google Scholar

Baldwin, T. T. 1992. Effects of alternative modeling strategies on outcomes of interpersonal-skills training. Journal of Applied Psychology 77: 147–154.Google Scholar

Baldwin, T. T., and Ford, J. K. 1988. Transfer of training: A review and directions for future research. Personnel Psychology 41: 63–105.Google Scholar

Baldwin, T. T., Ford, J. K., and Blume, B. D. 2009. Transfer of training 1988–2008: An updated review and agenda for future research. International Review of Industrial and Organizational Psychology 24: 41–70.Google Scholar

Barnett, S. M., and Ceci, S. J. 2002. When and where do we apply what we learn? A taxonomy for far transfer. Psychological Bulletin 128: 612–637.Google Scholar

Bell, B. S., and Ford, J. K. 2007. Reactions to skill assessment: The forgotten factor in explaining motivation to learn. Human Resource Development Quarterly 18: 33–62.Google Scholar

Bell, B. S., and Kozlowski, S. W. 2002. A typology of virtual teams implications for effective leadership. Group and Organization Management 27: 14–49.Google Scholar

Bell, B. S., and Kozlowski, S. W. 2008. Active learning: Effects of core training design elements on self-regulatory processes, learning, and adaptability. Journal of Applied Psychology 93: 296–316.Google Scholar

Berg, J. M., Wrzesniewski, A., and Dutton, J. E. 2010. Perceiving and responding to challenges in job crafting at different ranks: When proactivity requires adaptivity. Journal of Organizational Behavior 31: 158–186.Google Scholar

Blume, B. D., Ford, J. K., Baldwin, T. T., and Huang, J. L. 2010. Transfer of training: A meta-analytic review. Journal of Management 36: 1065–1105.Google Scholar

Brett, J. F., and VandeWalle, D. 1999. Goal orientation and goal content as predictors of performance in a training program. Journal of Applied Psychology 84: 863–873.Google Scholar

Brown, T. C., Warren, A., and Cass, B. 2013. The impact of behavioral goals on transfer from a management development program. In A. T. Belasen, Chair, Research on Training and Transfer of Learning. Symposium conducted at the Annual Meeting of Academy of Management, Lake Buena Vista, FL.Google Scholar

Burke, L. A., and Baldwin, T. T. 1999. Workforce training transfer: A study of the effect of relapse prevention training and transfer climate. Human Resource Management 38: 227–241.Google Scholar

Burke, L. A., and Hutchins, H. M. 2007. Training transfer: An integrative literature review. Human Resource Development Review 6: 263–296.Google Scholar

Carter, M., and Beier, M. E. 2010. The effectiveness of error management training with working-aged adults. Personnel Psychology 63: 641–675.Google Scholar

Chan, D. 2000. Understanding adaptation to changes in the work environment: Integrating individual difference and learning perspectives. Research in Personnel and Human Resources Management 18: 1–42.Google Scholar

Chen, G., Ployhart, R. E., Thomas, H. C., Anderson, N., and Bliese, P. D. 2011. The power of momentum: A new model of dynamic relationships between job satisfaction change and turnover intentions. Academy of Management Journal 54: 159–181.Google Scholar

Chen, G., Thomas, B., and Wallace, J. C. 2005. A multilevel examination of the relationships among training outcomes, mediating regulatory processes, and adaptive performance. Journal of Applied Psychology 90: 827–841.Google Scholar

Cheng, E. W., and Hampson, I. 2008. Transfer of training: A review and new insights. International Journal of Management Reviews 10: 327–341.Google Scholar

Cheng, E. W., and Ho, D. C. 2001. A review of transfer of training studies in the past decade. Personnel Review 30: 102−118.Google Scholar

Colquitt, J. A., LePine, J. A., and Noe, R. A. 2000. Toward an integrative theory of training motivation: A meta-analytic path analysis of 20 years of research. Journal of Applied Psychology 85: 678–707.Google Scholar

Davis, F. D., and Yi, M. Y. 2004. Improving computer skill training: Behavior modeling, symbolic mental rehearsal, and the role of knowledge structures. Journal of Applied Psychology 89: 509–523.Google Scholar

Day, E. A., ArthurJr., W., and Gettman, D. 2001. Knowledge structures and the acquisition of a complex skill. Journal of Applied Psychology 86: 1022–1033.Google Scholar

DeShon, R. P., and Gillespie, J. Z. 2005. A motivated action theory account of goal orientation. Journal of Applied Psychology 90: 1096−1127.Google Scholar

Dierdorff, E. C., and Surface, E. A. 2008. If you pay for skills, will they learn? Skill change and maintenance under a skill-based pay system. Journal of Management 34: 721–743.Google Scholar

Dierdorff, E. C., Surface, E. A., and Brown, K. G. 2010. Frame-of-reference training effectiveness: Effects of goal orientation and self-efficacy on affective, cognitive, skill-based, and transfer outcomes. Journal of Applied Psychology 95: 1181–1191.Google Scholar

Digman, J. M., and Takemoto-Chock, N. K. 1981. Factors in the natural language of personality: Re-analysis, comparison, and interpretation of six major studies. Multivariate Behavioral Research 16: 149–170.Google Scholar

DuBois, C. L., Sackett, P. R., Zedeck, S., and Fogli, L. 1993. Further exploration of typical and maximum performance criteria: Definitional issues, prediction, and white-black differences. Journal of Applied Psychology 78: 205–211.Google Scholar

Ford, J. K., Kraiger, K., and Merritt, S. M. 2012. An updated review of the multidimensionality of training outcomes: New directions for training evaluation research. In Kozlowski, S. W. J. and Salas, E., eds., Learning, Training, and Development in Organizations, 135–165. New York: Routlege.Google Scholar

Ford, J. K., and Oswald, F. L. 2003. Understanding the dynamic learner: Linking personality traits, learning situations, and individual behavior. In Barrick, M. and Ryan, A. M., eds., Personality and Work, 229–261. San Francisco: Jossey-Bass.Google Scholar

Ford, J. K., Smith, E. M., Weissbein, D. A., Gully, S. M., and Salas, E. 1998. Relationships of goal orientation, metacognitive activity, and practice strategies with learning outcomes and transfer. Journal of Applied Psychology 83: 218–233.Google Scholar

Ford, J. K., and Weissbein, D. A. 1997. Transfer of training: An updated review and analysis. Performance Improvement Quarterly 10: 22−41.Google Scholar

Foster, J., and Macan, T. H. 2002. Attentional advice: Effects on immediate, delayed, and transfer task performance. Human Performance 15: 367–380.Google Scholar

Gibson, C. B. 2001. Me and us: Differential relationships among goal-setting training, efficacy and effectiveness at the individual and team level. Journal of Organizational Behavior 22: 789–808.Google Scholar

Gist, M. E. 1989. The influence of training method on self-efficacy and idea generation among managers. Personnel Psychology 42: 787–805.Google Scholar

Gist, M. E., and Stevens, C. K. 1998. Effects of practice conditions and supplemental training method on cognitive learning and interpersonal skill generalization. Organizational Behavior and Human Decision Processes 75: 142–169.Google Scholar

Gist, M. E., Bavetta, A. G., and Stevens, C. K. 1990. Transfer training method: Its influence on skill generalization, skill repetition, and performance level. Personnel Psychology 43: 501–523.Google Scholar

Gist, M. E., Schwoerer, C., and Rosen, B. 1989. Effects of alternative training methods on self-efficacy and performance in computer software training. Journal of Applied Psychology 74: 884–891.Google Scholar

Gist, M. E., Stevens, C. K., and Bavetta, A. G. 1991. Effects of self-efficacy and post-training intervention on the acquisition and maintenance of complex interpersonal skills. Personnel Psychology 44: 837–861.Google Scholar

Goldstein, I., and Ford, J. 2002. Training in Organizations: Needs Assessment, Development, and Evaluation, 4th ed. Belmont, CA: Wadsworth.Google Scholar

Heimbeck, D., Frese, M., Sonnentag, S., and Keith, N. 2003. Integrating errors into the training process: The function of error management instructions and the role of goal orientation. Personnel Psychology 56: 333–361.Google Scholar

Herold, D. M., Davis, W., Fedor, D. B., and Parsons, C. K. 2002. Dispositional influences on transfer of learning in multistage training programs. Personnel Psychology 55: 851–869.Google Scholar

Holladay, C. L., and Quiñones, M. A. 2003. Practice variability and transfer of training: The role of self-efficacy generality. Journal of Applied Psychology 88: 1094–1103.Google Scholar

Huang, J. L., and Ford, J. K. 2012. Driving locus of control and driving behaviors: Inducing change through driver training. Transportation Research Part F: Traffic Psychology and Behaviour 15: 358–368.Google Scholar

Huang, J. L., Ford, J. K., and Ryan, A. M. 2014. Ignored no more: Within-person variability enables better understanding of training transfer. Academy of Management Proceedings 2014: 14097.Google Scholar

Huang, J. L., Blume, B. D., Ford, J. K., and Baldwin, T. T. 2012. Paths to transfer: A meta-analytic investigation of training outcomes. In M. Wang and L. Zhou, Co-chairs, New Developments in Training Motivation and Training Transfer Research. Symposium presented at the annual conference of Society for Industrial and Organizational Psychology, San Diego, CA, April.Google Scholar

Huang, J. L., Ryan, A. M., Zabel, K. L., and Palmer, A. 2014. Personality and adaptive performance at work: A meta-analytic investigation. Journal of Applied Psychology 99: 162–179.Google Scholar

Johnson, S., Garrison, L., Hernez-Broome, G., Fleenor, J., and Steed, J. 2012. Go for the goals: Relationship between goal setting and transfer of training following leadership development. Academy of Management Learning and Education 11: 555–569.Google Scholar

Jundt, D. K., Shoss, M. K., and Huang, J. L. 2015. Individual adaptive performance in organizations: A review. Journal of Organizational Behavior 36: S53–S71.Google Scholar

Kabanoff, B., and Bottger, P. 1991. Effectiveness of creativity training and its relation to selected personality factors. Journal of Organizational Behavior 12: 235–248.Google Scholar

Karl, K. A., O’Leary-Kelly, A. M., and Martocchio, J. J. 1993. The impact of feedback and self-efficacy on performance in training. Journal of Organizational Behavior 14: 379–394.Google Scholar

Keith, N., and Frese, M. 2005. Self-regulation in error management training: Emotion control and metacognition as mediators of performance effects. Journal of Applied Psychology 90: 677–691.Google Scholar

Keith, N., and Frese, M. 2008. Effectiveness of error management training: A meta-analysis. Journal of Applied Psychology 93: 59–69.Google Scholar

Kirkman, B. L., Rosen, B., Tesluk, P. E., and Gibson, C. B. 2006. Enhancing the transfer of computer-assisted training proficiency in geographically distributed teams. Journal of Applied Psychology 91: 706–716.Google Scholar

Klehe, U.-C., and Anderson, N. 2007. Working hard and working smart: Motivation and ability during typical and maximum performance. Journal of Applied Psychology 92: 978–992.Google Scholar

Kozlowski, S. W., Gully, S. M., Brown, K. G., Salas, E., Smith, E. M., and Nason, E. R. 2001. Effects of training goals and goal orientation traits on multidimensional training outcomes and performance adaptability. Organizational Behavior and Human Decision Processes 85: 1–31.Google Scholar

Kraiger, K., Ford, J. K., and Salas, E. 1993. Application of cognitive, skill-based, and affective theories of learning outcomes to new methods of training evaluation. Journal of Applied Psychology 78: 311–328.Google Scholar

Lang, J. W., and Bliese, P. D. 2009. General mental ability and two types of adaptation to unforeseen change: Applying discontinuous growth models to the task-change paradigm. Journal of Applied Psychology 94: 411–428.Google Scholar

LePine, J., Colquitt, J., and Erez, A. 2000. Adaptability to changing task contexts: Effects of general cognitive ability, conscientiousness, and openness to experience. Personnel Psychology 53: 563–593.Google Scholar

Locke, E. A., and Latham, G. P. (1990). A Theory of Goal Setting and Task Performance. Englewood Cliffs, NJ, US: Prentice-Hall, Inc.Google Scholar

Martocchio, J. J., and Judge, T. A. 1997. Relationship between conscientiousness and learning in employee training: Mediating influences of self-deception and self-efficacy. Journal of Applied Psychology 82: 764−773.Google Scholar

Mathieu, J. E., Martineau, J. W., and Tannenbaum, S. I. 1993. Individual and situational influences on the development of self-efficacy: Implications for training effectiveness. Personnel Psychology 46: 125–147.Google Scholar

Mathieu, J. E., Tannenbaum, S. I., and Salas, E. 1992. Influences of individual and situational characteristics on measures of training effectiveness. Academy of Management Journal 35: 828–847.Google Scholar

Morin, L., and Latham, G. 2000. The effect of mental practice and goal setting as a transfer of training intervention on supervisors’ self-efficacy and communication skills: An exploratory study. Applied Psychology 49: 566–578.Google Scholar

Myers, C. 1992. Core skills and transfer in the youth training schemes: A field study of trainee motor mechanics. Journal of Organizational Behavior 13: 625–632.Google Scholar

Oakes, D. W., Ferris, G. R., Martocchio, J. J., Buckley, M. R., and Broach, D. 2001. Cognitive ability and personality predictors of training program skill acquisition and job performance. Journal of Business and Psychology 15: 523–548.Google Scholar

Pulakos, E., Arad, S., Donovan, M., and Plamondon, K. E. 2000. Adaptability in the workplace: Development of a taxonomy of adaptive performance. Journal of Applied Psychology 85: 612–624.Google Scholar

Quiñones, M. A. 1995. Pretraining context effects: Training assignment as feedback. Journal of Applied Psychology 80: 226–238.Google Scholar

Ree, M. J., Carretta, T. R., and Teachout, M. S. 1995. Role of ability and prior knowledge in complex training performance. Journal of Applied Psychology 80: 721–730.Google Scholar

Richman-Hirsch, W. L. 2001. Posttraining interventions to enhance transfer: The moderating effects of work environments. Human Resource Development Quarterly 12: 105–120.Google Scholar

Rouiller, J. Z., and Goldstein, I. L. 1993. The relationship between organizational transfer climate and positive transfer of training. Human Resource Development Quarterly 4: 377–390.Google Scholar

Sackett, P. R., Zedeck, S., and Fogli, L. 1988. Relations between measures of typical and maximum job performance. Journal of Applied Psychology 73: 482–486.Google Scholar

Schmidt, F. L., and Hunter, J. E. 1998. The validity and utility of selection methods in personnel psychology: Practical and theoretical implications of 85 years of research findings. Psychological Bulletin 124: 262–274.Google Scholar

Seijts, G. H., and Latham, G. P. 2012. Knowing when to set learning versus performance goals. Organizational Dynamics 41: 1–6.Google Scholar

Smith-Jentsch, K. A., Salas, E., and Brannick, M. T. 2001. To transfer or not to transfer? Investigating the combined effects of trainee characteristics, team leader support, and team climate. Journal of Applied Psychology 86: 279–292.Google Scholar

Stanhope, D. S., and Surface, E. A. 2014. Examining the incremental validity and relative importance of specific cognitive abilities in a training context. Journal of Personnel Psychology 13: 146–156.Google Scholar

Stanhope, D. S., PondIII, S. B., and Surface, E. A. 2013. Core self-evaluations and training effectiveness: Prediction through motivational intervening mechanisms. Journal of Applied Psychology 98: 820–831.Google Scholar

Staw, B. M., and Boettger, R. D. 1990. Task revision: A neglected form of work performance. Academy of Management Journal 33: 534–559.Google Scholar

Stevens, C. K., and Gist, M. E. 1997. Effects of self-efficacy and goal-orientation training on negotiation skill maintenance: What are the mechanisms? Personnel Psychology 50: 955–978.Google Scholar

Stewart, G., and Nandkeolyar, A. 2006. Adaptation and intraindividual variation in sales outcomes: Exploring the interactive effects of personality and environmental opportunity. Personnel Psychology 59: 307–332.Google Scholar

Stewart, G. L., Carson, K. P., and Cardy, R. L. 1996. The joint effects of conscientiousness and self-leadership training on employee self-directed behavior in a service setting. Personnel Psychology 49: 143–164.Google Scholar

Tews, M. J., and Tracey, J. B. 2008. An empirical examination of posttraining on-the-job supplements for enhancing the effectiveness of interpersonal skills training. Personnel Psychology 61: 375–401.Google Scholar

Towler, A. J., and Dipboye, R. L. 2001. Effects of trainer expressiveness, organization, and trainee goal orientation on training outcomes. Journal of Applied Psychology 86: 664–673.Google Scholar

Tracey, J. B., Tannenbaum, S. I., and Kavanagh, M. J. 1995. Applying trained skills on the job: The importance of the work environment. Journal of Applied Psychology 80: 239–252.Google Scholar

Tziner, A., Haccoun, R. R., and Kadish, A. 1991. Personal and situational characteristics influencing the effectiveness of transfer of training improvement strategies. Journal of Occupational Psychology 64: 167–177.Google Scholar

VandeWalle, D. 1997. Development and validation of a work domain goal orientation instrument. Educational and Psychological Measurement 57: 995–1015.Google Scholar

Warr, P., and Bunce, D. 1995. Trainee characteristics and the outcomes of open learning. Personnel Psychology 48: 347–375.Google Scholar

Weissbein, D. A., Huang, J. L., Ford, J. K., and Schmidt, A. M. 2011. Influencing learning states to enhance trainee motivation and improve training transfer. Journal of Business and Psychology 26: 423–435.Google Scholar

Wexley, K. N., and Baldwin, T. T. 1986. Posttraining strategies for facilitating positive transfer: An empirical exploration. Academy of Management Journal 29: 503–520.Google Scholar

Witt, L. A., and Spitzmüller, C. 2007. Person-situation predictors of maximum and typical performance. Human Performance 20: 305–315.Google Scholar

Wood, W. 2000. Attitude change: Persuasion and social influence. Annual Review of Psychology 51: 539–570.Google Scholar

Yelon, S. L., and Ford, J. K. 1999. Pursuing a multidimensional view of transfer. Performance Improvement Quarterly 12: 58–78.Google Scholar

Zach, S., Raviv, S., and Inbar, R. 2007. The benefits of a graduated training program for security officers on physical performance in stressful situations. International Journal of Stress Management 14: 350–369.Google Scholar

Alliger, G. M., Tannenbaum, S. I., Bennett, W., Traver, H., and Shotland, A. 1997. A meta-analysis of the relations among training criteria. Personnel Psychology 50(2): 341–358.Google Scholar

Baldwin, T. T., and Ford, J. K. 1988. Transfer of training: A review and directions for future research. Personnel Psychology 41(1): 63–105.Google Scholar

Baldwin, T. T., Magjuka, R. J., and Loher, B. 1991. The perils of participation: Effects of choice of training on trainee motivation and learning. Personnel Psychology 44(1): 51–65.Google Scholar

Bandura, A. 1977. Self-efficacy: Toward a unified theory of behavioral change. Psychological Review 84: 191–215.Google Scholar

Bandura, A. 1986. Social Foundations of Thought and Action. Englewood Cliffs, NJ: Prentice-Hall.Google Scholar

Bandura, A. 1997. Self-efficacy: The Exercise of Control. New York: Freeman.Google Scholar

Barnett, S. M., and Ceci, S. J. 2002. When and where do we apply what we learn? A taxonomy for far transfer. Psychological Bulletin 128(4): 612–637.Google Scholar

Beier, M. E., and Kanfer, R. 2010. Motivation in training and development: A phase perspective. In Kozlowski, S. W. J. and Salas, E. (Eds.), Learning Training, and Development in Organizations, 65–97. New York: Routledge.Google Scholar

Bell, B. S., and Kozlowski, S. W. J. 2008. Active learning: Effects of core training design elements on self-regulatory processes, learning, and adaptability. Journal of Applied Psychology 93(2): 296–316.Google Scholar

Bell, B. S., and Kozlowski, S. W. J. 2010. Toward a theory of learner-centered training design: An integrative framework of active learning. In Kozlowski, S. W. J. and Salas, E., eds., Learning, Training, and Development in Organizations, 263–300. New York: Routledge.Google Scholar

Brown, K. G. 2001. Using computers to deliver training: Which employees learn and why? Personnel Psychology 54: 271–296.Google Scholar

Brown, K. G. 2005. An Examination of the structure and nomological network of trainee reactions: A closer look at “smile sheets.” Journal of Applied Psychology 90(5): 991–1001.Google Scholar

Brown, K. G., and Ford, J. K. 2002. Using computer technology in training: Building an infrastructure for learning. In Kraiger, K., ed., Creating, Implementing, and Managing Effective Training and Development, 192–233. San Francisco: Jossey-Bass.Google Scholar

Brown, K. G., Howardson, G. N., and Fisher, S. 2016. Learner control and e-learning: Taking stock and moving forward. Annual Review of Organizational Psychology and Organizational Behavior 3: 267–291.Google Scholar

Brown, K. G., and Klein, H. 2008. Third-generation instruction: “Tools in the toolbox” rather than the “latest and greatest.” Industrial and Organizational Psychology 1(4): 472–476.Google Scholar

Carolan, T. F., Hutchins, S. D., Wickens, C. D., and Cumming, J. M. 2014. Costs and benefits of more learner freedom: Meta-analyses of exploratory and learner control training methods. Human Factors 56(5): 999–1014.Google Scholar

Colquitt, J. A., and Simmering, M. J. 1998. Conscientiousness, goal orientation, and motivation to learn during the learning process: A longitudinal study. Journal of Applied Psychology 83(4): 654–665.Google Scholar

Colquitt, J. A., LePine, J. A., and Noe, R. A. 2000. Toward an integrative theory of training motivation: A meta-analytic path analysis of 20 years of research. Journal of Applied Psychology 85(5): 678–707.Google Scholar

Costa, , P. T., and McCrae, R. R. 1992. Revised NEO Personality Inventory (NEO-PI-R) and NEO Five-factor Inventory (NEO-FFI) Manual. Odessa, FL: Psychological Assessment Resources.Google Scholar

Deci, E. L., and Ryan, R. M. 1985. Intrinsic Motivation and Self-determination in Human Behavior. New York: Plenum PressGoogle Scholar

Deci, E. L., Ryan, R. M., and Williams, G. C. 1996. Need satisfaction and the self-regulation of learning. Learning and Individual Differences 8(3): 165–183.Google Scholar

DeShon, R. P., and Gillespie, J. Z. 2005. A motivated action theory account of goal orientation. Journal of Applied Psychology 90(6): 1096–1127.Google Scholar

Diefendorff, J. M. 2004. Examination of the roles of action-state orientation and goal orientation in the goal-setting and performance process. Human Performance 17(4): 375–395.Google Scholar

Diefendorff, J. M., Richard, E. M., and Gosserand, R. H. 2006. Examination of situational and attitudinal moderators of the hesitation and performance relation. Personnel Psychology 59(2): 365–393.Google Scholar

Diefendorff, J. M., Hall, R. J., Lord, R. G., and Strean, M. L. 2000. Action-state orientation: Construct validity of a revised measure and its relationship to work-related variables. Journal of Applied Psychology 85(2): 250–263.Google Scholar

Diefendorff, J. M., Lord, G. R., Hepburn, E. T., Quickle, J. S., Hall, R. J., and Sanders, R. E. 1998. Perceived self-regulation and individual differences in selective attention. Journal of Experimental Psychology: Applied 4(3): 228–247.Google Scholar

Fisher, S. L., and Ford, J. K. 1998. Differential effects of learner effort and goal orientation on two learning outcomes. Personnel Psychology 51:397–420.Google Scholar

Ford, J. K. 2008. Transforming our models of learning and development: How far do we go? Industrial and Organizational Psychology 1(4): 468–571.Google Scholar

Ford, J. K., Smith, E. M., Weissbein, D. A., Gully, S. M., and Salas, E. 1998. Relationships of goal orientation, metacognitive activity, and practice strategies with learning outcomes and transfer. Journal of Applied Psychology 83(2): 218–233.Google Scholar

Freitag, E. T., and Sullivan, H. J. 1995. Matching learner preference to amount of instruction: An alternative form of learner control. Educational Technology Research and Development 43(2):5–14.Google Scholar

Goldberg, L. R. 1999. A broad-bandwidth, public-domain, personality inventory measuring the lower-level facets of several Five-Factor models. In Mervielde, I., Deary, I., De Fruyt, F., and Ostendorf, F., eds., Personality Psychology in Europe, 7–28. Tilburg, The Netherlands: Tilburg University Press.Google Scholar

Gully, S., and Chen, G. 2010. Individual differences, attribute-treatment interactions, and training outcomes. In Kozlowski, S. W. J. and Salas, E., eds., Learning, Training, and Development in Organizations, 3–64. New York: Routledge.Google Scholar

Hannafin, R. D., and Sullivan, H. J. 1996. Preferences and learner control over amount of instruction. Journal of Educational Psychology 88(1): 162–173.Google Scholar

Heckhausen, H., and Gollwitzer, P. M. 1987. Thought contents and cognitive functioning in motivational versus volitional states of mind. Motivation and Emotion 11: 101–120.Google Scholar

Hoffmann, D. A., and Mark, B. 2006. An investigation of the relationship between safety climate and medication errors as well as other nurse and patient outcomes. Personnel Psychology 59: 847–869.Google Scholar