Love not Money. Paul Caulfield
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Transcript of Love not Money. Paul Caulfield
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PAUL CAULFIELD
Love not Money Substitution and complementary effects in the dissemination of corporate community investment practices
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LOVE NOT MONEY In UK from 2001 to 2011 • Range of corporate community investments
• Rela:ve level of CCI allowing for “size”
• Resources deployed – Human resource (Employee volunteering)
– Financial resource (Corporate Dona:ons)
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LOVE NOT MONEY • How are decisions made about corporate community investment?
• What determines choice between corporate community investments of different types?
• How do philanthropic prac:ces disseminate?
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Where are decision & Who sets targets?
How ac:vely to communicate &
promote?
How much to invest/allow?
What type of rela:onship & who with?
Strategic decisions about CCI
From interviews and focus groups (N=35)
What is our strategic intent? (opaque)
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Corporate Responsibility Principles
(Mission Statement)
Resources & Investment
Rela:onship & Ac:vi:es
Organisa:on & Administra:on
Communica:on & Promo:on
Administrate • Department/staffing • Data collec:on • Policies/prac:ces
Resource/Invest • Manager support • Time-‐off/ flexibility • Matched-‐funding / Rewards
Manage rela7ons & ac7vity • VSO causes supported • Placement arrangements • Ac:vity team/individual
Promote (Internal/External) • Recogni:on • Awareness/PR • Informa:on/Recruitment
Administrate • Department/staffing • Policies/prac:ces
Resource/Invest • Manager support • Amount donated
Manage rela7ons & ac7vity • VSO causes supported • Themes supported
Promote (External) • Awareness/PR
Employee Volunteering Corporate Dona7ons
From coding of FTSE All Share Annual Reports 2001-‐2011 (N=333)
Higher complexity
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Corporate Responsibility Principles
(Mission Statement)
Resources & Investment
Rela:onship & Ac:vi:es
Organisa:on & Administra:on
Communica:on & Promo:on
14 item coding instrument with four independent coders
(V02) The company shows evidence of recording data on volunteering levels through targets or sta:s:cs (McPhail&Bowles 2009)
Employee Volunteering Corporate Dona7ons
Strategic Management
of CCI
Resource Commitment
to CCI
Two factors under PCA with cronbach alpha >0.69
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“EMBEDDED” High strategic management High resource commitment
“SUPERFICIAL” High strategic management Low resource commitment (possibly reputa:on led)
“REACTIVE” Low strategic management High resource commitment (possibly employee led)
“UNSUPPORTIVE” Low strategic management Low resource commitment
Strategic management of CCI
Resource com
mitm
ent to CC
I How are decisions made about
volunteering?
Over 65% of firms
Employee led Smaller & regional firms
(under reported?)
“2 days a year to volunteer” Senior management backing
Larger firms Extensive communica:ons
“Bob ran the half-‐marathon” PR styled “nice” news
“Nice to our neighbours” Mission statement only
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How are decisions made about corporate community investment?
Money is easier! Whilst rela:onship and communica:ons prac:ces are similar across both volunteering and dona:ons… …level of organisa:onal commitment and resource investment are dis:nct
LOVE 0 MONEY 1
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LOVE 0 MONEY 1 • How are decisions are made corporate community investment?
• What determines choice between corporate community investments of different types?
• How do philanthropic prac:ces disseminate?
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-.50
.51
1.5
2C
ount
FT AllShare FTSE 250 FTSE 100
Volunteer Factor 1
-.50
.51
1.5
2C
ount
FT AllShare FTSE 250 FTSE 100
Volunteer Factor 2
Significant differences with FTSE100 or FTSE250 membership, p=0.003)
Resource commitment
For Volunteering – “Size” makers!
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Significant differences with FTSE100 or FTSE250 membership, p=0.003)
For Dona:ons – History makers! • Decisions to donate a highly stable over :me
• Using models from medicine to study “Non-‐donors” suggests pakern is zero inflated poisson (e.g. models for addicts)
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What determines choice between corporate community investments?
Money is expected! CCI of financial resources (dona:ons) highly ins:tu:onalised … …investment choice of human resources (volunteering) more associated with internal factors (e.g size, industry, peer group)
LOVE 0 MONEY 2
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LOVE 0 MONEY 2 • What decisions are made about corporate community investment?
• What determines choice between corporate community investments of different types?
• How do philanthropic prac:ces disseminate?
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Iden:fy prac:ces of leading firms
BitC award winners: Pla:num, Gold, Silver e.g. BHP BILLITON PLC BRITISH AMERICAN TOBACCO P.L.C. BRITISH SKY BROADCASTING GROUP PLC CENTRICA PLC IMPERIAL TOBACCO GROUP PLC MARKS AND SPENCER GROUP P.L.C. NATIONAL GRID PLC NORTHUMBRIAN WATER GROUP PLC PREMIER FARNELL PLC SCOTTISH AND SOUTHERN ENERGY PLC UNILEVER PLC …
DON Benchmark Level of dona:on per head
VOL Benchmark Level of policy commitment
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0%#
10%#
20%#
30%#
40%#
50%#
60%#
70%#
80%#
90%#
100%#
0%# 10%# 20%# 30%# 40%# 50%# 60%# 70%# 80%# 90%# 100%#
%"who
"have"do
pted
"fina
ncial"don
a1on
"ben
chmark"in"field"
%"who"have"dopted"employee"volunteering"benchmark"in"field"
Extrac3ve_2001#
Extrac3ve_2005#
Extrac3ve_2009#
Finance_2001#
Finance_2005#
Finance_2009#
Manufacture_2001#
Manufacture_2005#
Manufacture_2009#
Retail_2001#
Retail_2005#
Retail_2009#
Service_2001#
Service_2005#
Service_2009#
Wholesale_2001#
Wholesale_2005#
Wholesale_2009#
FINANCE*** Complementary Early adopters
WHOLESALE & RETAIL Subs:tu:onal Late adopters
EXTRACTIVE ??
SERVICE & MANUFACTURE Complementary Lower adop:on
Level of adop7on volunteering prac7ces -‐>
Level of a
dop7
on don
a7on
prac7ces-‐>
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Dissemina:on of prac:ces
DON 2009
DON 2005
DON 2001
VOL 2009
VOL 2005
VOL 2001
Star:ng condi:ons
2001 FACTORS
2005 FACTORS
2009 FACTORS
Organisa:onal (and Internal)
Ins:tu:onal (and External)
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Dissemina:on of prac:ces
DON 2009
DON 2005
DON 2001
VOL 2009
VOL 2005
VOL 2001
Standardised coeffs, only significant paths p<0.20 shown
+IVE*** +IVE***
CCI BALANCED BIN RUN 6.0.0 Chi 0.678*, df=3, p=.8783
RMSEA=0.000 CI 90% 0.000 0.0550
Prob. RMSEA <= .05 0.941 CFI 1.000
Dona:ons prac:ces
Volunteering prac:ces
+IVE*** +IVE***
+IVE** NS
NS
Autoregressive
Conclusions • Dona:ons highly dependent on past (R2 =0.73) • Volunteering less so (R2=0.39) • Dona:ons ini:ally lead volunteering prac:ces • Once volunteering established its evolu:on is somewhat independent with only weak
correla:on between ac:vi:es • Volunteering does not influence on dona:ons
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2001 FACTORS
2005 FACTORS
2009 FACTORS
Finance sector leads prac:ces
DON 2009
DON 2005
DON 2001
VOL 2009
VOL 2005
VOL 2001
Standardised coeffs, only significant paths p<0.20 shown
FINANCE
LONDON HQ
+IVE*
Organisa:onal Constants
WHOLESALE
SERVICE
+IVE #
+IVE***
-‐-‐IVE (NS)
+IVE (NS)
Financial sector leads CCI strategies in UK Other star:ng condi:ons age, ownership, exposure to
overseas markets fail to be significant <0.20. Other industries fail to be significant as star:ng condi:on.
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Employee limited influence on dona:ons
DON 2009
DON 2005
DON 2001
VOL 2009
VOL 2005
VOL 2001
EMPLOYEES’01 EMPLOYEES’05 EMPLOYEES’09
-‐IVE #
Note) Employees correlated with Coercive Visibility ***
Organisa:onal Variables
-‐IVE #
Dona:ons per head ini:ally grows then appears capped with size
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Profit early influence on dona:ons
DON 2009
DON 2005
DON 2001
VOL 2009
VOL 2005
VOL 2001
+IVE*** PROFIT ‘01 PROFIT ‘05 PROFIT ‘09
+IVE*
Note) Employees correlated with Coercive Visibility ***
Organisa:onal Variables
Profit is ini:ally important for dona:ons but reduces in significance
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Media visibility early influence on dona:ons
DON 2009
DON 2005
DON 2001
VOL 2009
VOL 2005
VOL 2001
VISIBILITY’01 VISIBILITY’05 VISIBILITY’09
+IVE*
Note) Employees correlated with Coercive Visibility ***
Coercive factors appear to have an ini:al effect in 2001 on dona:ons, but have not been seen to influence adop:on standards since then. Volunteering appears to be ‘immune’ to coercive influence
Coercive Variables
+IVE (NS)
Media visibility has been significant influence on dona:ons but has no influence on volunteering
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Membership of BitC is catalyst
DON 2009
DON 2005
DON 2001
VOL 2009
VOL 2005
VOL 2001
BITC ’01 BITC’05 BITC’09
+0.246**
Note) BITC membership in 2001 is posi:vely correlated with both Employees & Coercive Visibility ***
Norma:ve effects appear to have only weak effects and affect volunteering to a limited to early development of the field.
Norma:ve Variables
+0.263**
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How do philanthropic prac:ces disseminate?
Money spent first! Previous dona:on strongest predictor of all future prac:ces Finance sector as role model BitC as influencer
LOVE 0 MONEY 3
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LOVE 0 MONEY 3 THANK YOU