the impact of tacit knowledge transfer during technical training in online learning environments...
DESCRIPTION
Tacit Knowledge Howells (1996) describes tacit knowledge as non- codified, disembodied knowledge that is acquired through the informal take-up of learned behavior and procedures. Yi (2006) lists criteria to differentiate tacit knowledge from explicit knowledge. These criteria include (a) personal, (b) difficult to communicate, (c) problematic, and (d) contextual. Durrance (1998) claims tacit knowledge to live in an individual’s “hunches, intuition, emotions, values, and beliefs” (p. 24). Michael Polanyi (1966) argued that tacit knowledge is more fundamental than explicit knowledge. He is famously quoted, “we can know more than we can tell” (p. 4). Zack (1999) describes tacit knowledge as subconsciously understood and applied while being difficult to articulate, developed from direct experience, and shared through interactive conversation, storytelling, and shared experience.TRANSCRIPT
The Impact of Tacit Knowledge Transfer during Technical Training in Online Learning Environments
Amanda Kuhnley
Define tacit knowledge Introduce research problem Review literature & significance State the research question & hypothesis Describe instrument, sample & data collection Address limitations & contingency plan Clarify contribution to the field List references
Objectives
Tacit KnowledgeHowells (1996) describes tacit
knowledge as non-codified, disembodied
knowledge that is acquired through the informal take-up of
learned behavior and procedures.
Yi (2006) lists criteria to differentiate tacit
knowledge from explicit knowledge.
These criteria include (a) personal, (b)
difficult to communicate, (c)
problematic, and (d) contextual.
Durrance (1998) claims tacit
knowledge to live in an individual’s
“hunches, intuition, emotions, values, and beliefs” (p.
24).
Michael Polanyi (1966) argued that tacit knowledge is more fundamental
than explicit knowledge. He is
famously quoted, “we can know more than we can tell” (p. 4).Zack (1999) describes
tacit knowledge as subconsciously
understood and applied while being difficult to
articulate, developed from direct experience, and
shared through interactive conversation, storytelling,
and shared experience.
Zack (1999) describes tacit knowledge as
subconsciously understood and applied while being difficult to
articulate, developed from direct experience, and
shared through interactive conversation, storytelling,
and shared experience.
Why Tacit Knowledge?
Undergraduate research Problem-based learning Designed curriculum
“Education is the kindling of a flame, not the filling of a vessel” – Socrates
Undergraduate degrees Technology Design
Research Problem
Alic (2008)
Durrance (1998)
Zack (1999)
Howells (1996)
global economic competition, traditional education is not enough
tacit knowledge is overlooked in the U.S.
tacit knowledge = competitive performance among organizations
technology allows for “tacit knowledge networks”
Tacit knowledge cannot be captured or
transferred
Polanyi (1966)Tsoukas (2003)
Moallem (2003)Ozdemir (2008)
Tacit knowledge can
be captured and transferred
among individuals via online learning environments
Nonaka (1994)Durrance (1998)
Eraut (2000)Zollo & Winter (2002)
Yi (2006) Harris (2008)
Tee & Kearney (2010)
Literature Review
Tacit knowledge can be shared through online learning environments
Shared experience is the most effective way to transfer tacit knowledge in online learning environments
Transfer of tacit knowledge requires the active participation of the employee during technical training
Assumptions
Can the believability of a training simulation influence the transfer of tacit knowledge in an online learning environment for technical training?
Employees will be more open to completing technical training and engaging in the transfer of tacit knowledge if they can believe in the training simulation.
Question and Hypothesis
VariablesIndependen
t• Believability• Shared experience
Dependent• Tacit knowledge transfer
Control• Perceived experience• Perceived expectations
Confounding
• Years of experience• Participation in training
Mixed Methods
Foos, Schum, &
Rothenburg (2006)
Qualitative Yi (2006) – College
Qualitative Harris (2008) – SME’s
QualitativeTea & Kearney (2010) – Corporation
Decision for Survey Research
Survey Questions
Independent
• Believability (Likert: Believable – Unbelievable)• Shared experience (Likert: Strongly Agree – Strongly
Disagree)
Dependent• Tacit knowledge transfer (Likert: Strongly Agree – Strongly
Disagree) Control
• Perceived experience (Likert: Strongly Agree – Strongly Disagree)
• Perceived expectations (Likert: Strongly Agree – Strongly Disagree)Confoundin
g• Years of experience (Slider – number)• Participation in training (Likert: Never – Daily)
Survey Instrument
Example Results
Table 1: Control variable – overall experience
How would you rate your experience with computer-based technical training? (Strongly Agree 1 - Strongly Disagree 4)
I think training was applicable to my current job
n = 50 μ = 1 σ = 0
I think training introduced to me new knowledge
n = 50 μ = 1 σ = 0
I think training improved my performance
n = 50 μ = 1 σ = 0
Field Service Technicians Fortune 500 Company – PepsiCo Convenience Sample – Virginia Market Unit
All 100 field service technicians All complete computer-based technical training
Goal: 50 responses HR Representative Kristen McCullough
Population and Sample
Sample size Other market units Interview protocol
Unlikely to not meet sample size!
Contingency Plan
Data Collection and Timeline
Sprin
g Se
mes
ter
IRB
Certi
ficat
ion
Relea
se
Surv
ey
Sum
mer
Se
mes
ter
Analy
ze
Resu
ltsW
rite
Ch. 4
and 5
Fall
Sem
este
rFin
alize
Th
esis
Defe
nd
Thes
is
Grad
uati
on
Common threats to survey research: location, instrumentation, instrument decay, and mortality Location – one market unit Instrumentation – closed questions, Likert
scale Instrument decay – short time period, no
changes Mortality – individual experiences
Generalizability – limited in size and scope
Limitations
Quantitative study of tacit knowledge – novel idea
Step toward validating the measure of tacit knowledge
General framework and survey Could be solicited to larger/more diverse
samples
Contribution to the Field
References
Alic, J. A. (2008). Technical knowledge and experiential learning: what people know and can do. Technology Analysis & Strategic Management, 20(4), 427-442. doi:10.1080/09537320802141403Durrance, B. (1998). Some explicit thoughts on tacit learning. Training & Development, 52(12), 24-29. Retrieved from EBSCOhost.Eraut, M. (2000, March). Non-formal learning and tacit knowledge in professional work. British Journal of Educational Psychology. pp. 113-136. Retrieved from EBSCOhost.Foos, T., Schum, G., & Rothernburg, S. (2006). Tacit knowledge transfer and the knowledge disconnect. Journal of Knowledge Management, 10 (1), 6-18. Doi: 10.1108/13673270610650067Harris, R. J. (2009). Improving tacit knowledge transfer within SMEs through e-collaboration. Journal of European Industrial Training, 33(3), 215-231. Doi: 10.1108/03090590910950587Howells, J. (1996). Tacit knowledge, innovation and technology transfer. Technology Analysis & Strategic Management, 8(2), 91-106. Doi: 10.1080/00420980220128354Likert, R. (1932). A technique for measurement of attitudes. Archives of Psychology, 22 (140), 1-55. Moallem, M. (2003). An interactive online course: a collaborative design model. Educational Technology Research and Development, 51(4), 85-103. Retrieved from EBSCOhost.Nelson, R. & Winter, S.G. (1982). An evolutionary theory of economic change. Harvard University Press, Cambridge, MA.Nonaka, I. (1994). A Dynamic Theory of Organizational Knowledge Creation. Organization Science, 5(1), 14-37. Retrieved from EBSCOhost.Ozdemir, S. (2008). E-learning’s effect on knowledge: Can you download tacit knowledge? British Journal of Educational Technology, 39(3), 552-554. Doi:10.1111/j.1467- 8535.2007.00764xPolanyi, M. (1983). The tacit dimension / Michael Polanyi. Gloucester, Mass. ; Peter Smith, 1983. Retrieved from JAMES MADISON UNIV's Catalog database.Sclove, S. L. (2011). Notes on Likert scales. University of Illinois at Chicago. Retrieved from, http://www.uic.edu/classes/idsc/ids270sls/likert.htmTee, M. Y., & Karney, D. (2010). Sharing and cultivating tacit knowledge in an online learning environment. Computer-Supported Collaborative Learning, 5(4), 385-413. Retrieved from EBSCOhost.Teece, D. J., Pisano, G. & Shuen, A. (1997) Dynamic capabilities and strategic management. Strategic Management Journal, 18 (7), 509-533. Retrieved from EBSCOhost.Tsoukas, H. (2003). Do we really understand tacit knowledge? [Electronic source: http://is.lse.ac.uk/Events/ESRCseminars/tsoukas.pdf]. In M. Easterby-Smith & M. A. Lyles (Eds.), The Blackwell handbook of organizational learning and knowledge management. Malden: Blackwell Pub.Werner, J. M., & DeSimone, R. L. (2009). Human resource development. Mason, OH: South-Western Cengage Learning.Yi, J. (2006). Externalization of tacit knowledge in online environments. International Journal on E-Learning, 5(4), 663-674. Retrieved from EBSCOhost.Zack, M. H. (1999). Managing Codified Knowledge. (cover story). Sloan Management Review, 40(4), 45-58. Retrieved from EBSCOhost.Zollo, M. & Winter, S. G. (2002). Deliberative learning and the evolution of dynamic capabilities. Organization Science, 13 (3), 339-351. Retrieved from http://www/jstor.org/stable.3086025