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Using Data to build commitment for change

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Research & Measurement Cox Ch 4 Using Data to build commitment for change Using Data to enhance diversity education Diagnosing Climate for Diversity – PowerPoint PPT presentation

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Title: Using Data to build commitment for change


1
Research Measurement Cox Ch 4
  • Using Data to build commitment for change
  • Using Data to enhance diversity education
  • Diagnosing Climate for Diversity
  • Measuring Progress
  • Caveats on using research for organizational
    change

2
Using Data to build Commitment
  • Resistance toward diversity initiatives due to
  • Fear of losing power/control/resources
  • Misunderstanding the benefits of diversity
  • Not understanding the need for diversity
    initiatives
  • Overcome resistance by
  • Developing business case
  • Focusing executives on need for change
  • Promoting shared leadership w/unions

3
Using Data to build Commitment
  • Build a Business Case
  • Use data to show link between diversity
    management and company success
  • Articulate advantages of diversity
  • Cox Ch 1
  • Improved Problem solving, Increased Creativity
    innovation, Increased Organizational flexibility,
    Improved Quality of Human Resources, Improved
    Marketing strategies
  • Stephan Stephan
  • Higher Annualized returns, Improved Interpersonal
    skills

4
Using Data to build Commitment
  • Focusing executives on need for change
  • Read employee responses to diversity climate
    surveys
  • Understand magnitude of discrepancy between
    practices and core values of organization
  • Promote shared leadership w/unions
  • Use data to convince union leadership that
    diversity management is not just the
    responsibility of management, but of employees at
    all levels

5
Using Data to Enhance Diversity Education
  • Create case scenarios for training with employee
    responses to diversity climate surveys
  • Know the 3 advantages on p. 64
  • Use results of organizational change efforts from
    another organization to demonstrate value of
    diversity related change
  • Use published research data while making a point
    during training
  • e.g., Effect of race on performance ratings

6
Diagnosing Climate for Diversity
  • Why diagnose climate?
  • Guides plan of action
  • Provides baseline for measuring progress
  • Measure the right things
  • Include those components that are easy to measure
    relevant to organization
  • Use expert external consultant

7
Components of Diversity Climate Individual-Level
Measures
  • Amount of
  • Prejudice
  • Stereotyping
  • Ethnocentrism
  • Diversity-relevant traits
  • Level of inter-group conflict
  • Group-identity strength
  • Quality of inter-group communication
  • Cultural differences and similarities

8
Components of Diversity Climate Organization-Level
Measures
  • Identity profile of workforce
  • Mode of acculturation
  • Content of organizational culture
  • Power distribution among groups
  • People management practices policies
  • Openness of informal networks

9
Diagnosing Climate for Diversity
  • Calibrate Carefully
  • Compare w/organizations identified as world
    leaders in climate for diversity
  • Note disadvantages
  • Compare with other units within the organization
  • Compare across time
  • Triangulate Methods
  • Use interviews, surveys, direct observations,
    objective information
  • Note advantages of interviews

10
Measuring Progress
  • Use multiple indices (similar to Brief et al)
  • Turnover
  • Absenteeism
  • Interview/survey data
  • Levels of change in diversity profiles
  • Percent implementation of action plans
  • Positive job-offer response ratio
  • Levels of identity group related to
    complaints/litigation costs
  • Successful accommodations for persons
    w/disabilities
  • Compare across different identity groups,
    organizational units etc.

11
Measuring Progress
  • Communicate results action steps
  • Number and types of indices used depend on the
    level of analysis
  • Time periods for measurement depend on
  • Realistic expectations of speed of change
  • Intrusiveness of measurement
  • Necessity of feedback for further action
  • Type of index used depends on orgn type

12
Caveats on using research
  • Dont exaggerate claims made by data
  • Data presenter should have a thorough
    understanding and be prepared to answer detailed
    questions
  • Present data in user-friendly manner
  • Explain connection b/w data and conclusions
  • Ensure accuracy of data
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