Stages of Growth for Knowledge Management Technology in Law Firms

References

• Afuah, A. and C.L. Tucci. Internet Business Models and Strategies. USA: McGraw-Hill, 2001.
   Google Scholar
• Alavi, M. and D.E. Leidner. “Knowledge Management and Knowledge Management Systems: Conceptual Foundations and Research Issues,” MIS Quarterly, 25:1, 2001, pp. 107–136.
   Web of Science ®Google Scholar
• Alavi, M. and A. Tiwana. “Knowledge Integration in Virtual Teams: The Potential Role of KMS,” Journal of the American Society for Information Science and Technology, 53:12, 2002.
   Google Scholar
• Barton, K., P. Duncan, P. McKellar, and P. Maharg. “The Paisley Pattern: IT and Legal Practice in Scotland,” Scottish Law and Practice Quarterly, 5:3, 2000, pp. 217–239.
   Google Scholar
• Barton, K., P. Duncan, L.M. Ruiz-Nieto, and P. McKellar. “E-commerce and Legal Practice in Scotland: A Benchmark Survey,” Journal of Information, Law and Technology, 2000, elj.warwick.ac.uk/jilt/
   Google Scholar
• Becker, W.M., M.F. Herman, P.A. Samuelson, and A.P. Webb. “Lawyers Get Down to Business,” McKinsey Quarterly, 2, 2001, pp. 45–55.
   Google Scholar
• Benbasat, I., A.S. Dexter, D.H. Drury, and R.C. Goldstein. “A Critique of the Stage Hypothesis: Theory and Empirical Evidence,” Communications of the ACM, 27:5, 1984, pp. 476–485.
   Web of Science ®Google Scholar
• Boudreau, M.C., D. Gefen, and D.W. Straub. “Validation in Information Systems Research: A State-of-the-Art-Assessment,” MIS Quarterly, 25:1, 2001, pp. 1–16.
   Web of Science ®Google Scholar
• Byers, C. and W.A. Byers. “Sliding Scale: A Technique to Optimize the Assessment of Knowledge Level Through Ordering Theory,” Annual Conference of the International Personnel Management Association Assessment Council, Chicago, June 1998, <“http://www.ipmaac.org/conf98/byers.pdf>
   Google Scholar
• Curtis, G. and D. Cobham. Business Information Systems: Analysis, Design and Practice. UK: Prentice Hall, 2002.
   Google Scholar
• Davenport, T.H. and J. Glaser. “Just-in-Time Delivery Comes to Knowledge Management,” Harvard Business Review, 80:7, 2002, pp. 107–111.
   PubMed Web of Science ®Google Scholar
• Davenport, T.H. and L. Prusak. Working Knowledge. US: Harvard Business School Press, 2000.
   Google Scholar
• Disterer, G. “Individual and Social Barriers to Knowledge Transfer,” Proceedings of the 34^th Hawaii International Conference on Systems Sciences (HICSS-34), IEEE, USA, 2001.
   Google Scholar
• Disterer, G. Veränderungen der Rechtsberufe durch neue Technologien, Beispiel: Wissenmanagement bei Anwälten, Arbeidspapier 68/2002, Fachbereich Wirtschaft, Fachhochschule Hannover, Germany, 2002.
   Google Scholar
• Drazin, R. and R.K. Kazanjian. “A Reanalysis of Miller and Friesen's Life Cycle Data,” Strategic Management Journal, 11, 1990, pp. 319–325.
   Web of Science ®Google Scholar
• Drazin, R. and R.K. Kazanjian. “Applying the Del Technique to the Analysis of Cross-Classification Data: A Test of CEO Succession and Top Management Team Development,” Academy of Management Journal, 36:6, 1993, pp. 1374–1399.
   Web of Science ®Google Scholar
• Earl, M.J. “Evolving the E-business,” Business Strategy Review, 11:2, 2000, pp. 33–38.
   Google Scholar
• Earl, M.J. “Knowledge Management Strategies: Toward a Taxonomy,” Journal of Management Information Systems, 18:1, 2001, pp. 215–233.
   Web of Science ®Google Scholar
• Edwards, D.L. and D.E. Mahling. “Toward Knowledge Management Systems in the Legal Domain,” Proceedings of the International ACM SIGGROUP Conference on Supporting Group Work Group '97. USA: Association of Computing Machinery, 1997, pp. 158–166.
   Google Scholar
• Fahey, L. and L. Prusak. “The Eleven Deadliest Sins of Knowledge Management,” California Management Review, Spring 1998, pp. 9–21.
   Google Scholar
• Feather, S.R. “The Impact of Group Support Systems on Collaborative Learning Groups' Stages of Development,” Information Technology, Learning and Performance Journal, 17:2, Fall 1999, pp. 23–34.
   Google Scholar
• Fichman, R.G. and C.F. Kemerer. “The Assimilation of Software Process Innovations: An Organizational Learning Perspective,” Management Science, 43:10, 1997, pp. 1345–1363.
   Web of Science ®Google Scholar
• Frankfort-Nachmias, C. and D. Nachmias. Research Methods in the Social Sciences, 5th ed. UK: Arnold, 2002.
   Google Scholar
• Galanter, M. and T. Palay. Tournament of Lawyers, The Transformation of the Big Law Firm. US: University of Chicago Press, 1991.
   Google Scholar
• Gottschalk, P. Knowledge Management through Information Technology. Norway: Fagbokforlaget, 2002. www.fagbokforlaget.no.
   Google Scholar
• Grover, V. and T.H. Davenport. “General Perspectives on Knowledge Management: Fostering a Research Agenda,” Journal of Management Information Systems, 18:1, 2001, pp. 5–21.
   Web of Science ®Google Scholar
• Guttman, L. “The Basis for Scalogram Analysis.” In Stouffer, S.A., L. Guttman, E.A. Suchman, P.F. Lazardsfeld, S.A. Star, and J.A. Clausen (Eds.). Measurement and Prediction, Studies in Social Psychology in World War II, Vol. IV, USA: Princeton University Press, 1950, pp. 60–90.
   Google Scholar
• Hair, J.F., R.E. Anderson, R.L. Tatham, and W.C. Black. Multivariate Data Analysis, 5th Ed. USA: Prentice-Hall, 1998.
   Google Scholar
• Hansen, M.T. “The Search-Transfer Problem: The Role of Weak Ties in Sharing Knowledge Across Organizational Subunits,” Administrative Science Quarterly, 44, 1999, pp. 82–111.
   Web of Science ®Google Scholar
• Hansen, M.T., N. Nohria, and T. Tierney. “What's Your Strategy for Managing Knowledge?” Harvard Business Review, 77:2, 1999, pp. 106–116.
   PubMed Web of Science ®Google Scholar
• Hildebrand, D., J. Laing, and H. Rosenthal. Prediction Analysis of Cross-classifications. New York: Wiley, 1977.
   Google Scholar
• Hildebrand, D., J. Laing, and H. Rosenthal. “Prediction Logic: A Method for Empirical Analysis of Formal Theory,” Journal of Mathematical Sociology, 3, 1974, pp. 163–185.
   Web of Science ®Google Scholar
• Hildebrand, D., J. Laing, and H. Rosenthal. “Prediction Logic and Quasi-independence in Empirical Evaluation of Formal Theory,” Journal of Mathematical Sociology, 3, 1974, pp. 197–209.
   Web of Science ®Google Scholar
• Hitt, M.A., L. Bierman, K. Shimizu, and R. Kochhar. “Direct and Moderating Effects of Human Capital on Strategy and Performance in Professional Service Firms: A Resource-based Perspective,” Academy of Management Journal, 44:1, 2001, pp. 13–28.
   Web of Science ®Google Scholar
• Housel, T. and A.H. Bell. Measuring and Managing Knowledge. USA: McGraw-Hill, 2001.
   Google Scholar
• Hunter, L., P. Beaumont, and M. Lee. “Knowledge Management Practice in Scottish Law Firms,” Human Resource Management Journal, 12:2, 2002, pp. 4–21.
   Google Scholar
• Kazanjian, R.K. “Relation of Dominant Problems to Stages of Growth in Technology-based New Ventures,” Academy of Management Journal, 31:2, 1988, pp. 257–279.
   Web of Science ®Google Scholar
• Kazanjian, R.K. and R. Drazin. “An Empirical Test of a Stage of Growth Progression Model,” Management Science, 35:12, 1989, pp. 1489–1503.
   Web of Science ®Google Scholar
• King, W.R. and T.S.H. Teo. “Integration Between Business Planning and Information Systems Planning: Validating a Stage Hypothesis,” Decision Sciences, 28:2, 1997, pp. 279–307.
   Web of Science ®Google Scholar
• Kline, P. The New Psychometrics: Science, Psychology and Measurement. UK: Routledge, 1998.
   Google Scholar
• Liebowitz, J. “The Need for Better Educating Prospective Knowledge Engineers on Knowledge Acquisition,” Journal of Computer Information Systems, 34:1, 1998, pp. 37-.
   Google Scholar
• Mahapatra, R.K. “Case-based Reasoning: Extended Frontlines of Knowledge Based Systems,” Journal of Computer Information Systems, 38:2, 2000, pp. 87-.
   Google Scholar
• Mitra, R. and V. Pingali, “Analysis of Growth Stages in Small Firms: A Case Study of Automobile Ancillaries in India,” Journal of Small Business Management, July 1999, pp. 62–75.
   Google Scholar
• Montana, J.C. “The Legal System and Knowledge Management,” Information Management Journal, July 2000, pp. 54–57.
   Google Scholar
• Moody, J.W., J.E. Blanton, and R.P. Will. “Capturing Expertise from Experts: The Need to Match Knowledge Elicitation Technologies with Expert System Types,” Journal of Computer Information Systems, 39:2, 2001, pp. 89-.
   Google Scholar
• Mountain, D. “Could New Technologies Cause Great Law Firms to Fail?” Journal of Information, Law & Technology, 1, 2001, 9 pp.
   Google Scholar
• Nahapiet, J. and S. Ghoshal. “Social Capital, Intellectual Capital, and the Organizational Advantage,” Academy of Management Review, 23:2, 1998, pp. 242–266.
   Web of Science ®Google Scholar
• Nolan, R.L. “Managing the Crises in Data Processing,” Harvard Business Review, March-April 1979, pp. 115–126.
   Google Scholar
• Nunnally, J.C. and I.H. Bernstein. Psychometric Theory, 3rd Ed. USA: McGraw-Hill, 1994.
   Google Scholar
• Sabherwal, R. and Y.E. Chan. “Alignment Between Business and IS Strategies: A Study of Prospectors, Analyzers, and Defenders,” Information Systems Research, 12:1, 2001, pp. 11–33.
   Web of Science ®Google Scholar
• Sprague, R.H. “Electronic Document Management: Challenges and Opportunities for Information Systems Managers,” MIS Quarterly, March 1995, pp. 29–49.
   Google Scholar
• Stabell, C.B. and O.D. Fjeldstad. “Configuring Value for Competitive Advantage: On Chains, Shops, and Networks,” Strategic Management Journal, 19, 1998, pp. 413–437.
   Web of Science ®Google Scholar
• Stewart, T.A. Intellectual Capital: The New Wealth of Organizations. UK: Nicholas Brealy, 1997.
   Google Scholar
• Susskind, R. Transforming the Law. UK: Oxford University Press, 2000.
   Google Scholar
• Tiwana, A. The Essential Guide to Knowledge Management. USA: Prentice Hall, 2001.
   Google Scholar
• Tiwana, A. The Knowledge Management Toolkit – Practical Techniques for Building a Knowledge Management System. USA: Prentice Hall. 2000.
   Google Scholar
• Trochim. 2002. http://trochim.human.cornell.edu/kb/scalgutt.htm.
   Google Scholar
• Venkatesh, V. “Determinants of Perceived Ease of Use: Integrating Control, Intrinsic Motivation, and Emotion into the Technology Acceptance Model,” Information Systems Research, 11:4, 2000, pp. 342–365.
   Web of Science ®Google Scholar
• Venkatesh, V. and F.D. Davis. “A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies,” Management Science, 46:2, 2000, pp. 186–204.
   Web of Science ®Google Scholar
• Voss, C. “Developing an eService Strategy,” Business Strategy Review, 11:1, 2000, pp. 21–33.
   Google Scholar