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Organisational diversity in HE:
what do we know and what do we
        still want to know?


                     Jeroen Huisman
Organisational diversity

   The policy “problem”
   What is diversity and how to measure it
   Theoretical explanations of diversity:
    isomorphism, academic and vocational drift,
    niche-seeking behaviour, positioning
Organisational diversity

Practical and HE policy concern

   How to maintain or increase diversity?
   Assumption: diversity is an inherent good
   Examples: Finland, Austria, US, EU …
    Norway (Stjernö committee 2008)
   Diversity: a policy and/or steering problem?
Steering organisational diversity

Literature 1960s – 1980s:
 Academic drift (Jenck & Riesman, 1968;
   Neave, 1979)
 Political realities (Teichler, 1988, 2007)



Later insights: markets versus governments,
  markets AND governments
 Meek et al., (1998), Mockers and mocked
 Special issue HEP (2000)
Steering organisational diversity
Markets stimulate diversity, for HEIs will look for market
  niches. At the same time, markets may implicitly
  invite followers to copy “successful” leaders

Governments inhibit diversity, for they set limits to
  creative behavior. At the same time, they may be a
  “necessary evil” to prevent HEIs from going where
  they should not go …


Hmmm, a bit of both then?
What is diversity and how to
              measure it?
Birnbaum (1983):
- Systemic diversity
- Structural diversity
- Programmatic diversity
- Procedural diversity
- Reputational diversity
- Constituent diversity
- Value and climates diversity
Diversity is elusive ...?

1) A HEI differs from any other HEI, so
a system is as diverse as its number of
HEIs .....

2) There are certain deeply-engrained
core elements of the HE fabric that
allow for measurement and comparison
Birnbaum (1983)
Variables:
Control (four values)
Size (three values)
Sex of students (two values)
Programme (four values)
Degree level (four values)
Minority enrolment (two values)

Empirical results
1960: 141 types
1980: 138 types
Despite growth in system, no increase in diversity
What is diversity?

 Bearing on biology and ecology
 Diversity: the variety of types and/or
  dispersion of entities across those
  types
 Intuitive example: 2 As, 2Bs, 1 C, 1
  D, 1 E is more diverse than 3 As and
  4 Bs
Measuring diversity
A relatively simple approach:
- Which features are distinctive and
  crucial/meaningful?
- Measure the features

- Use statistical techniques (diversity indices,
  Gini index, etc.) to show similarities and
  differences
Example: cluster analysis
                    Similarity index

                    100                80   60   40   20   0

Amsterdam (UVA)
Utrecht
Leiden
Groningen
Nijmegen
Amsterdam (VU)
Limburg
Tilburg
Rotterdam
Twente Techn.
Eindhoven Techn.
Delft Techn.
Wageningen Agric.
Classification projects
• The Carnegie Classification in the USA
• European mapping exercise(s), see Van
  Vught’s U-MAP
• Huisman et al. (2007), Higher Education
  Quarterly
Diversity in European HE

   Austria, Denmark, Finland, Flanders, France,
    Germany, the Netherlands, Norway,
    Sweden, UK
   Which HE system is most diverse?
Diversity in European HE

Rank order (based on two diversity indices,
  1997/98 data):

1   UK/Norway                7    Austria
3   Flanders                 8    Sweden
4   The Netherlands          9    France
6   Finland                  10   Denmark
6   Germany
Diversity in European HE

Puzzle(s):

Large systems not by definition diverse?
Binary systems more diverse?
Geography: low versus high density?
Governments or markets?
The big measurement problem:
   What you want, is what you get …
   Researchers’ decisions decide how different
    HEIs are …
   But, helpful for analysis across countries and
    for one country over time (Huisman et al.,
    2007, Australia and the Netherlands)
Theory

The most helpful approaches:

   population ecology (Hannan & Freeman,
    1977; 1989)
   “new” institutional theory (DiMaggio &
    Powell, 1983; Scott, 2008)
   Positioning and strategy theory (Mintzberg,
    Porter) combined with “bringing the agent
    back in”
Theory

Population ecology

   Concepts: Populations, organisational form,
    resources, legitimacy
   Empirical studies: birth and death rates,
    population growth
   Problems: actually not touching upon
    diversity
Theory

“new” institutionalism

   Concepts: legitimacy, isomorphism, myth
    and ceremony
   Empirical studies: longitudinal studies
   Problems: weaknesses in measurement (but
    see Gioia & Thomas, 1996)
Theory

   Strategy and landscape: how individual HEIs
    move around in HE landscapes (thus:
    markets, governments AND agents)
   Strategy and sensemaking: strategy-as-
    practice (Jarzabkowski, Weick).
   Positioning and strategy in HE (Frolich et al.,
    Higher Education, in press; Fumasoli &
    Huisman, Minerva, in press)
Theory

   Empirical work: Swiss higher education
    (Lepori et al., Studies in Higher Education,
    in press), more “sophisticated”
    measurement, blending/segregating
   Future work: European systems of HE,
    EUMIDA data, with Lepori, Seeber, Frolich,
    and others.
Thank you!

j.huisman@bath.ac.uk

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J. Huisman - Organisational diversity in higher education

  • 1. Organisational diversity in HE: what do we know and what do we still want to know? Jeroen Huisman
  • 2. Organisational diversity  The policy “problem”  What is diversity and how to measure it  Theoretical explanations of diversity: isomorphism, academic and vocational drift, niche-seeking behaviour, positioning
  • 3. Organisational diversity Practical and HE policy concern  How to maintain or increase diversity?  Assumption: diversity is an inherent good  Examples: Finland, Austria, US, EU … Norway (Stjernö committee 2008)  Diversity: a policy and/or steering problem?
  • 4. Steering organisational diversity Literature 1960s – 1980s:  Academic drift (Jenck & Riesman, 1968; Neave, 1979)  Political realities (Teichler, 1988, 2007) Later insights: markets versus governments, markets AND governments  Meek et al., (1998), Mockers and mocked  Special issue HEP (2000)
  • 5. Steering organisational diversity Markets stimulate diversity, for HEIs will look for market niches. At the same time, markets may implicitly invite followers to copy “successful” leaders Governments inhibit diversity, for they set limits to creative behavior. At the same time, they may be a “necessary evil” to prevent HEIs from going where they should not go … Hmmm, a bit of both then?
  • 6. What is diversity and how to measure it? Birnbaum (1983): - Systemic diversity - Structural diversity - Programmatic diversity - Procedural diversity - Reputational diversity - Constituent diversity - Value and climates diversity
  • 7. Diversity is elusive ...? 1) A HEI differs from any other HEI, so a system is as diverse as its number of HEIs ..... 2) There are certain deeply-engrained core elements of the HE fabric that allow for measurement and comparison
  • 8. Birnbaum (1983) Variables: Control (four values) Size (three values) Sex of students (two values) Programme (four values) Degree level (four values) Minority enrolment (two values) Empirical results 1960: 141 types 1980: 138 types Despite growth in system, no increase in diversity
  • 9. What is diversity?  Bearing on biology and ecology  Diversity: the variety of types and/or dispersion of entities across those types  Intuitive example: 2 As, 2Bs, 1 C, 1 D, 1 E is more diverse than 3 As and 4 Bs
  • 10. Measuring diversity A relatively simple approach: - Which features are distinctive and crucial/meaningful? - Measure the features - Use statistical techniques (diversity indices, Gini index, etc.) to show similarities and differences
  • 11. Example: cluster analysis Similarity index 100 80 60 40 20 0 Amsterdam (UVA) Utrecht Leiden Groningen Nijmegen Amsterdam (VU) Limburg Tilburg Rotterdam Twente Techn. Eindhoven Techn. Delft Techn. Wageningen Agric.
  • 12. Classification projects • The Carnegie Classification in the USA • European mapping exercise(s), see Van Vught’s U-MAP • Huisman et al. (2007), Higher Education Quarterly
  • 13. Diversity in European HE  Austria, Denmark, Finland, Flanders, France, Germany, the Netherlands, Norway, Sweden, UK  Which HE system is most diverse?
  • 14. Diversity in European HE Rank order (based on two diversity indices, 1997/98 data): 1 UK/Norway 7 Austria 3 Flanders 8 Sweden 4 The Netherlands 9 France 6 Finland 10 Denmark 6 Germany
  • 15. Diversity in European HE Puzzle(s): Large systems not by definition diverse? Binary systems more diverse? Geography: low versus high density? Governments or markets?
  • 16. The big measurement problem:  What you want, is what you get …  Researchers’ decisions decide how different HEIs are …  But, helpful for analysis across countries and for one country over time (Huisman et al., 2007, Australia and the Netherlands)
  • 17. Theory The most helpful approaches:  population ecology (Hannan & Freeman, 1977; 1989)  “new” institutional theory (DiMaggio & Powell, 1983; Scott, 2008)  Positioning and strategy theory (Mintzberg, Porter) combined with “bringing the agent back in”
  • 18. Theory Population ecology  Concepts: Populations, organisational form, resources, legitimacy  Empirical studies: birth and death rates, population growth  Problems: actually not touching upon diversity
  • 19. Theory “new” institutionalism  Concepts: legitimacy, isomorphism, myth and ceremony  Empirical studies: longitudinal studies  Problems: weaknesses in measurement (but see Gioia & Thomas, 1996)
  • 20. Theory  Strategy and landscape: how individual HEIs move around in HE landscapes (thus: markets, governments AND agents)  Strategy and sensemaking: strategy-as- practice (Jarzabkowski, Weick).  Positioning and strategy in HE (Frolich et al., Higher Education, in press; Fumasoli & Huisman, Minerva, in press)
  • 21. Theory  Empirical work: Swiss higher education (Lepori et al., Studies in Higher Education, in press), more “sophisticated” measurement, blending/segregating  Future work: European systems of HE, EUMIDA data, with Lepori, Seeber, Frolich, and others.