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Why change management fails:The data is in
Midwest Academy of ManagementOctober 3, 2014
About Ron Koller
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Acknowledgements
Dr. Rick Fenwick (instigator)Dr. Paula Fremont (chair)Dr. Angela Bruch (committee)Dr. Suzanna Reynolds (committee)Dr. Diana Wong (EMU & MAOM member)Dr. Greg HuszczoDr. James LeBretonDr. Therese Yaeger & Dr. Peter Sorensen
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3 learning points
1. Resistance is no longer Change’s biggest enemy
2. Too much of a good thing (i.e. commitment) is a bad thing
3. Nonlinear statistics portray organizational psychology phenomenon (i.e. behavior) more accurately than linear statistics
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Agenda
1. 4-component Commitment Model2. Literature3. Methodology4. Results5. Conclusions, implications, and
recommendations
Commitment to change concept
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To much of a good thing is bad
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Coetsee Nonlinear Model
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H1: Commitment < R + Compliance
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H2: Each Predictor Separately
Affective Commitment to Change (AC2C)
Likert scale 1-76-items
Continuance Commitment to Change (CC2C)Likert scale 1-7
6-items
Normative Commitment to Change (NC2C) Likert scale 1-7
6-items
Behavioral Support for Change (BSC)
1-100 continuum1-item
3 Predictors
1 Outcome
• Active Resistance• Passive Resistance• Compliance• Cooperation• Championing
Supported byMorin et al., 2013
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H3: Curvilinear Relationship (together)
Behavioral Support for Change (BSC)
1-100 continuum1-item
3 Predictors
1 Outcome
• Active Resistance• Passive Resistance• Compliance• Cooperation• Championing
H1: Practical Results
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H2 Result
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H3 ResultAC2C
one-way
AC2C xCC2C
two-way
NC2Cone-way
NC2C xCC2C
two-way
AC2C xCC2C
two-way
AC2C xNC2C xCC2C
three-way
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H3 BreakdownBehavioralSupport forChange
AC2C
NC2C
AC2C x NC2Ctwo-way interaction
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Limits of Linear RegressionBehavioralSupport forChange
Linear can onlyexplain additivecontributions
Linear regression cannot explain what is REALLY happeningSIMULTANEOUS contributions
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No Δ in variance ≠ no contribution
CC2C’s contributionIs MASKED
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Double the two-way interactionAC2C
one-way
AC2C xCC2C
two-way
NC2Cone-way
NC2C xCC2C
two-way
AC2C xCC2C
two-way
AC2C xNC2C xCC2C
three-way
Recommendations
1. Practitioners: stop spending so much time worrying about resistance start paying more attention to compliance/ambivalence
2. Researchers: a. Use (new) squared terms of predictor variables to run a
nonlinear regression• how much commitment/resistance is optimal versus sub-
optimal?• what types of commitment/resistance are optimal versus sub-
optimal?
b. Use the tools at http://relativeimportance.davidson.edu to more accurately decompose the variance
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What this study showed us
1. Resistance is no longer Change’s biggest enemy (hypothesis 1)
2. Too much of a good thing (i.e. commitment) is a bad thing (hypothesis 2)
3. Nonlinear statistics portray organizational psychology phenomenon (i.e. behavior) more accurately than linear statistics (hypothesis 3)