ACM Home Page
Please provide us with feedback. Feedback
A knowledge-centric framework for process redesign
Full text PdfPdf (226 KB)
Source Special Interest Group on Computer Personnel Research Annual Conference archive
Proceedings of the 2005 ACM SIGMIS CPR conference on Computer personnel research table of contents
Atlanta, Georgia, USA
SESSION: 3.1: Beyond the IT professional table of contents
Pages: 49 - 58  
Year of Publication: 2005
ISBN:1-59593-011-6
Authors
Kelly J. Fadel  University of Arizona, Tucson, AZ
Mohan Tanniru  University of Arizona, Tucson, AZ
Sponsors
SIGMIS: ACM Special Interest Group on Management Information Systems
ACM: Association for Computing Machinery
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 6,   Downloads (12 Months): 85,   Citation Count: 0
Additional Information:

abstract   references   index terms   collaborative colleagues  

Tools and Actions: Request Permissions Request Permissions    Review this Article  
DOI Bookmark: Use this link to bookmark this Article: http://doi.acm.org/10.1145/1055973.1055984
What is a DOI?

ABSTRACT

Research in the area of business process redesign has traditionally focused on performance metrics for measuring process change. However, from the perspective of an employee performing the business process, such measurements are inadequate because they fail to account for the knowledge change required for the employee to perform the new process. This paper explores process redesign from a knowledge perspective. We introduce the concept of a knowledge gap when a process is redesigned and, using theories of learning transfer, identify several process knowledge elements. A framework incorporating these knowledge elements can be used to assess knowledge change during process redesign. We illustrate the use of this framework in a case study, the process redesign at Campus Health department of a large public university.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
Anderson, J.R. Rules of the Mind. Lawrence Erlbaum Associates, HIllsdale, NJ, 1993.
 
2
Arthur, W., Bennet, W., Stanush, P.L. and McNelly, T.L. Factors that influence skill decay and retention: a quantitative review and analysis. Human Performance, 11. 79--86.
 
3
Baldwin, T.T. and Ford, J.K. Transfer of training: A review and directions for future research. Personnel Psychology, 41. 63--105.
 
4
Bashein, B.J., Markus, M.L. and Riley, P. Preconditions for BPR success and how to prevent failures. Information Systems Management, 11 (2). 7--13.
 
5
 
6
Bransford, J.D., Brown, A.L. and Cocking, R.R. How People Learn: Brain, Mind, Experience, and School. National Academies Press, 2000.
 
7
Brinkerhoff, R.O. and Montesino, M.U. Partnership for Training Transfer: Lessons from a Corporate Study. Human Resources Development Quarterly, 6. 263--274.
 
8
 
9
Chen, M. BRR Methodologies: Methods and Tools. in Elzinga, D.J., Gulledge, T.R. and Lee, C.-Y. eds. Business Process Engineering: Advancing the State of the Art, Kluwer Academic Publishers, Norwell, 1999, 187--212.
 
10
 
11
 
12
Earl, M.J. The new and the old of business process redesign. The Journal of Strategic Information Systems, 3 (1). 5--22.
 
13
Earl, M.J., Sampler, J.L. and Short, J.E. Strategies for Business Process Reengineering: Evidence from Field Studies. Journal of Management Information Systems, 12 (1). 31--56.
 
14
Facteau, J.D., Dobbins, G.H., Russel, J.E.A., Ladd, R.T. and Kudisch, J.D. The influence of general perceptions for the training environment on pretraining motivation and perceived training transfer. Journal of Management, 21. 1--25.
 
15
Ford, J.K., Quinones, M.A., Sego, D.J. and Sorra, J.S. Factors affecting the opportunity to perform trained tasks on the job. Personnel Psychology, 45. 511--527.
 
16
Giaglis, G.M. A Taxonomy of Business Process Modeling and Information Systems Modeling Techniques. International Journal of Flexible Manufacturing Systems, 13. 209--228.
 
17
Gore, R. and Wong-On-Wing, B. The acquisition and transfer of tax skills. The Journal of the American Taxation Association, 20 (2). 117.
 
18
Grover, V. From business reengineering to business process change management: a longitudinal study of trends and practices. Engineering Management, IEEE Transactions on, 46 (1). 36--46.
 
19
Grover, V., Jeong, S.R., Kettinger, W.J. and Teng, J.T.C. The Implementation of Business Process Reengineering. Journal of Management Information Systems, 12 (1). 109--144.
 
20
Hall, G., Rosenthal, J. and Wade, J. How to Make Re-engineering Work. Harvard Business Review, 71 (6). 119--131.
 
21
Hammer, M. and Champy, J. Re-engineering the Corporation: A Manifesto for Business Revolution. Harper Business, New York, 1993.
 
22
Harmon, P. Business Process Change. Morgan Kaufmann Publishers, San Francisco, CA, 2003.
 
23
Jia, X.-L., Xu, J.-X., Zhang, Z.-M. and Huang, N.-K., The research on representation and processing of process knowledge based on object-oriented modeling. in Machine Learning and Cybernetics, 2003 International Conference on, (2003), 657--660 Vol.652.
24
 
25
Kettinger, W.J. and Grover, V. Special Section: Toward a Theory of Business Process Change Management. Journal of Management Information Systems, 12 (1). 9--30.
 
26
King, W.R. Process Reengineering: The Strategic Dimensions. Information Systems Management, 11 (2). 71--73.
 
27
Kraiger, K., Salas, E. and Cannon-Bowers, J.A. Measuring knowledge organization as a method for assessing learning during training. Human Factors, 37 (4). 804--816.
 
28
Leddo, J. and Abelson, R.P. The Nature of Explanations. in Galambos, J.A., Abelson, R.P. and Black, J.B. eds. Knowledge Structures, LEA, Hillsdale, NJ, 1986.
 
29
 
30
Palmer, J. The Human Organization. Journal of Knowledge Management, 1 (4). 294--307.
 
31
 
32
Quinones, M.A. Pretraining context effects: Training assignment as feedback. Journal of Applied Psychology, 80 (226--238).
 
33
Quinones, M.A. and Ehrenstein, A. Training for a Rapidly Changing Workplace: Applications of Psychological Research. American Psychological Association, Washington, DC, 1997.
 
34
 
35
 
36
Roy, M.-C., Roy, K. and Bouchard, L. Human factors in business process re-engineering. Human Systems Management, 17 (3). 193--204.
 
37
Scheer, A.-W. and Allweyer, T. From reengineering to continuous process adaptation. in Elzinga, D.J., Gulledge, T.R. and Lee, C.-Y. eds. Business Process Engineering: Advancing the State of the Art, Kluwer Academic Publishers, Norwell, 1999, 1--24.
 
38
 
39
 
40
Smith-Jentsch, K.A., Jentsch, F.G., Payne, S.C. and Salas, E. Can pretraining experiences explain individual differences in learning? Journal of Applied Psychology, 49. 110--116.
 
41
 
42
 
43
Thorndike, E.L. and Woodworth, R.S. The influence of improvement in one mental function upon the efficiency of other functions. Psychological Review, 8. 247--261.
 
44
Tracey, J.B., Tannenbaum, S.I. and Kavanagh, M.J. Applying trained skills on the job: the importance of the work environment. Journal of Applied Psychology, 80. 239--252.
 
45
Tuggle, F.D. and Goldfinger, W.E. A methodology for mining embedded knowledge from process maps. Human Systems Management, 23 (1). 1--13.
46
 
47
Watson, R.T. REVIEW: KNOWLEDGE MANAGEMENT AND KNOWLEDGE MANAGEMENT SYSTEMS: CONCEPTUAL FOUNDATIONS AND RESEARCH ISSUES. MIS Quarterly, MIS Quarterly & The Society for Information Mgt., 2001, xv.

Collaborative Colleagues:
Kelly J. Fadel: colleagues
Mohan Tanniru: colleagues