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Managing user resistance when designing, and executing your global Lab Informatics strategy ,[object Object],[object Object],[object Object],[object Object]
Agenda ,[object Object],[object Object],[object Object],[object Object]
What makes a project successful? ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Increasing user engagement
Knowledge Management ,[object Object],[object Object],[object Object],[object Object],Technology Enablers Knowledge Processes Cultural Enablers Create Share Exploit Data Information Networks Competence Behaviours & Values Coaching & Leadership Ownership & Empowerment
McGregor Theory X and Theory Y ,[object Object],[object Object],[object Object],[object Object],Maslow's hierarchy of needs
User Culture/Technology Adoption Rogers, Everett M. (1962). Diffusion of Innovations. The Free Press. New York Innovators 2 - 3 % Technology Enthusiasts : want to be first to try new technology; want one of everything. Early Adopters 10% Visionaries : able to align technology with strategic opportunities; willing to take risks; horizontally oriented. Early Majority 36% Pragmatists : cautious with risk and money; loyal; vertically oriented. Late Majority 36% Conservatives : opposed to discontinuous innovation; believe in tradition rather than progress. Laggards 15% Sceptics :  negative attitude towards technology; identify discrepancies between what’s promised and what’s delivered.
Project Success Factors Standish Group International (1999) User Involvement 20% Executive Support 15% Clear Business Objectives 15% Experienced Project Manager 15% Small Milestones 10% Firm Basic Requirements 5% Competent Staff 5% Proper Planning 5% Ownership 5% Other 5%
Ten Ways to Guarantee Project Failure ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Naomi Karten, www.StickyMinds.com
Technology Acceptance Model Davis, F.D. “A Technology Acceptance Model for Empirically Testing New End-User  Information Systems: Theory and Results”, in  MIT Sloan School of Management .  Cambridge, MA; MIT School of Management. 1986. Perceived Usefulness Behavioural Intention External Variables Actual Use Perceived Ease of Use Attitude Toward The degree to which a person believes that  using a particular system would enhance  his or her job performance. The degree to which a  person believes that using a particular system  would be free from effort. Individual user’s positive or negative feelings  about performing the target behaviour A measure of the strength of one’s intention  to perform a specific behaviour.
Technology Adoption S-curve Time % User Adoption Contact Awareness Understanding Trial Use Adoption Internalisation Institutionalisation Robert G. Fichman, Chris F. Kemerer, “The Illusory Diffusion of Innovation : An Examination Of Assimilation Gaps”, Working Paper Series No.746, Katz Graduate School of Business, University of Pittsburgh, November 1995.
User involvement ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Implementation ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Technology Adoption Life Cycle Ref : ‘Crossing The Chasm’, G.A.Moore, Capstone Publishing Technology Enthusiasts Looking for some neat technology Innovators Early Adopters Early Majority Laggards Late Majority The Chasm Visionaries Looking for a breakthrough Pragmatists Looking for an improvement Conservatives Believe in tradition Sceptics Not looking!
Closing the gap ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],What can we do to influence attitude in order to drive the ‘right’ behaviours? ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Robert B. Cialdini, “Influence: Science and Practice”, HarperCollins, 1993.

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Managing User Resistance

  • 1.
  • 2.
  • 3.
  • 4.
  • 5.
  • 6. User Culture/Technology Adoption Rogers, Everett M. (1962). Diffusion of Innovations. The Free Press. New York Innovators 2 - 3 % Technology Enthusiasts : want to be first to try new technology; want one of everything. Early Adopters 10% Visionaries : able to align technology with strategic opportunities; willing to take risks; horizontally oriented. Early Majority 36% Pragmatists : cautious with risk and money; loyal; vertically oriented. Late Majority 36% Conservatives : opposed to discontinuous innovation; believe in tradition rather than progress. Laggards 15% Sceptics : negative attitude towards technology; identify discrepancies between what’s promised and what’s delivered.
  • 7. Project Success Factors Standish Group International (1999) User Involvement 20% Executive Support 15% Clear Business Objectives 15% Experienced Project Manager 15% Small Milestones 10% Firm Basic Requirements 5% Competent Staff 5% Proper Planning 5% Ownership 5% Other 5%
  • 8.
  • 9. Technology Acceptance Model Davis, F.D. “A Technology Acceptance Model for Empirically Testing New End-User Information Systems: Theory and Results”, in MIT Sloan School of Management . Cambridge, MA; MIT School of Management. 1986. Perceived Usefulness Behavioural Intention External Variables Actual Use Perceived Ease of Use Attitude Toward The degree to which a person believes that using a particular system would enhance his or her job performance. The degree to which a person believes that using a particular system would be free from effort. Individual user’s positive or negative feelings about performing the target behaviour A measure of the strength of one’s intention to perform a specific behaviour.
  • 10. Technology Adoption S-curve Time % User Adoption Contact Awareness Understanding Trial Use Adoption Internalisation Institutionalisation Robert G. Fichman, Chris F. Kemerer, “The Illusory Diffusion of Innovation : An Examination Of Assimilation Gaps”, Working Paper Series No.746, Katz Graduate School of Business, University of Pittsburgh, November 1995.
  • 11.
  • 12.
  • 13. Technology Adoption Life Cycle Ref : ‘Crossing The Chasm’, G.A.Moore, Capstone Publishing Technology Enthusiasts Looking for some neat technology Innovators Early Adopters Early Majority Laggards Late Majority The Chasm Visionaries Looking for a breakthrough Pragmatists Looking for an improvement Conservatives Believe in tradition Sceptics Not looking!
  • 14.