Accession Number:

ADA499622

Title:

Task-Technology Fit Assessment of an Expertise Transfer System

Descriptive Note:

Master's thesis

Corporate Author:

AIR FORCE INST OF TECH WRIGHT-PATTERSON AFB OH GRADUATE SCHOOL OF ENGINEERING AND MANAGEMENT

Personal Author(s):

Report Date:

2009-03-01

Pagination or Media Count:

58.0

Abstract:

Organizations today are using information technology to capture knowledge from experts and disseminate this knowledge to decision makers. Having the right information to the right person at the right time facilitates more effective and efficient decisions. This study uses Goodhues 1998 Task-Technology Fit TTF theoretical model to evaluate an Expertise Transfer Forum ETF developed by the Oklahoma State University for the Defense Ammunition Centers quality assurance personnel. The preliminary findings suggest a good fit between the ETF and problem-solving tasks assigned to students in the DAC classroom environment. The participants also offered the following observations 1 The ETF was more suited to the field environment because of the knowledge content 2 They would only use the ETF if they had a question they could not get the answer to 3 The ETF transcripts, videos, and nugget views were easy to use 4 There should be more training on the use of the ETF 5 Searching using the views was not as easy as a simple keyword search 6 Expert vetting would enhance the currency and trust in the knowledge 7 Interviewing instructors instead of andor in addition to the field experts 8 Technical issues in this study included video buffering lag and some views that did not open Because of the small N and the specific nature of the ETF content, there was not enough statistical power to generalize our findings. Overall, the findings from this study suggest when populated with current and applicable knowledge, the ETF is a viable tool.

Subject Categories:

  • Administration and Management
  • Information Science

Distribution Statement:

APPROVED FOR PUBLIC RELEASE