Accenture- International women's day 2016

26 February 2016For external use

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The Accenture Digital Fluency Model

Digital FluencyExtent to which both men and women have embraced digital technologies to become more knowledgeable, connected and effective.

Education The level of education that women achieve

EmploymentGetting a job and remaining in the workforce

AdvancementHow well women are doing as they move towards leadership

Digital Fluency Score

The Driver Career Outcomes

• The Accenture Digital Fluency Model allows us to measures the extent to which women are leveraging digital to advance throughout their career lifecycle. The score is out of a possible 100.

• Our Digital Fluency Model combines data from our survey of 4,900 men and women in 31 countries with published data from respected sources like the World Bank, OECD and the United Nations.

Digital Fluency is the extent to which women and men embrace and use digital technologies to become more knowledgeable, connected and effective

Overall Model


The Accenture Digital Fluency Model

• Men outscore women in every country we studied.

• The US, Netherlands, Australia, UK and Nordic countries (Sweden, Denmark, Norway and Finland), have the highest overall scores and rank amongst the top performers on employment.

• Increasing digital fluency in countries like India, Indonesia, the Philippines and Mexico will help improve outcomes in education and employment.

• Women in, for example, Saudi Arabia, Italy and Japan have reasonable levels of digital fluency yet are not achieving the outcomes we would expect. Digital fluency alone is clearly not the solution for every country. Cultural factors need to be considered as well.India

Indones iaPhi l ippines

MexicoSaudi ArabiaSouth Africa

Greater China Ita ly

Brazi lJapan

Korea, Rep.Germany

AustriaArgentinaSingapore

United Arab EmiratesFrance

SwitzerlandIrelandCanada

SpainUnited Kingdom

NordicAustra l ia

NetherlandsUnited States

0,00 10,00 20,00 30,00 40,00 50,00 60,00 70,00 80,00

Digital Fluency Model - Women

ADVANCEMENT EMPLOYMENT EDUCATION DIGITAL FLUENCY

55 – top score

12 lowest score

41– mid score

Source: Accenture Digital Fluency Model, 2016

The model shows how digitally fluent women and men are, and how much that fluency is helping drive positive changes in their education, employment and advancement at work

Overall Model


Indones iaIndia

Phi l ippinesMexico

Greater China South Africa

Brazi lArgentina

Ita lySaudi Arabia

AustriaSi ngapore

JapanFrance

Irel andGermany

Swi tzerl andKorea , Rep.

Austra l iaSpain

United Arab EmiratesCanada

United KingdomUnited States

NordicNetherlands

-5,00 5,00 15,00 25,00 35,00 45,00 55,00

Digital Fluency of Women

03

Digital Fluency Scores Vary Widely Between Countries and Regions

• The Netherlands, Nordic countries, US and UK rank highest in terms of digital fluency for women.

• Countries can improve gender equality in the workplace by raising digital fluency levels thereby helping women to advance across education, employment and career advancement.

Score

22

Rank by Gap (lower is better)

Digital fluency score

Overall score for women

Rank: A lower rank means women are doing better relative to men22

Nations with higher rates of digital fluency among women tend to have higher rates of equality in the workplace


2213145

17192

153

23164

2426251118201

107

2112896

Digital fluency


Japa

n

Sing

apor

e

Fran

ce

Swit

zerl

and

Net

herl

ands UK

Irel

and

Sout

h Ko

rea

Spai

n

Arg

enti

na

30

35

40

45

50

55

60

65

70

75

Women Men

Dig

ital F

luen

cy sc

ore

Countries with the biggest gender gaps (top 5)

Countries with the smallest gender gaps (top 5)

Gaps Between Men and Women

• Increasing women’s digital fluency and closing the gap improves equality at work.

• The biggest gaps between the scores of men and women are seen in Japan, Singapore, France, Switzerland and the Netherlands

• Why the differences? Men still use digital more than women and are more aggressive in pursuing digital fluency. In some countries cultural norms are holding women back despite there being evidence that digital has released more potential from women


The size of the gap in digital fluency between men and women varies greatly across countries and regions.

Digital fluency


0 10 20 30 40 50 60 70 800

20

40

60

80

Women

Digital Fluency

Educ

atio

n

Influence of Digital Fluency on Education

There is a strong relationship between digital fluency and education.

Digital fluency has helped to change the game in education and has fuelled the trend for women to overtake men in secondary and higher education (college / university) degrees. Women are better educated than men.


Women score higher than men and pull away as their digital fluency increases

Note: Chart depicts the statistical relationship (regression) between digital fluency and the outcome on the vertical axis. The steeper the slope of the line, the stronger the impact of digital fluency on education.

Education outcomes rise as digital fluency increases. In fact, women have achieved higher education outcomes in 16 of the countries we studied.

Education


Education Levels for Women are Rising

Respondent's Daughter(s)Survey RespondentRespondent's Mother(s)

80%

62%

35%

78%

59%

27%

79%

54%

23%

Millennials

Gen X

Linéaire (Gen X)

Baby Boomers

Base = Working Women; n=1,745

Women are achieving more with each generation and aspirations for our daughters are high.

Percentage of Women Earning a College/University Degree or Higher

Education


AdvancementEmployment

0 10 20 30 40 50 60 70 800

20

40

60

80

100

Women Linéaire (Women)

Digital Fluency

Empl

oym

ent

• There is a strong positive relationship between digital fluency and employment.

• The impact of digital fluency on employment opportunities is more pronounced for women than for men, evidenced by the steeper line on the graph.

• This is helping to close the gap between women and men in employment.

Influence of Digital Fluency on Employment


The gap closes as digital fluency increases

Women still score below men, but are making progress toward equality

Women’s ability to find and participate in work rises as digital fluency increases.

Note: Chart depicts the statistical relationship (regression) between digital fluency and the outcome on the vertical axis. The steeper the slope of the line, the stronger the impact of digital fluency on employment.


Influence of Digital Fluency on Advancement at Work

• There is a relationship, albeit a weak one, between Digital Fluency and advancement. It is only beginning to accelerate opportunity for women in the workplace.

• Digital also has a positive impact on pay for both genders, HOWEVER, the pay gap between men and women is not yet closing.

• Interestingly, Millennials, the most digitally fluent generation, are doing worse, in terms of the pay gap, than the Baby Boomers.

Survey responses show that men are by far the dominant earners by household for all three generations

Base = Working men and women (excluding those who live alone/single parent): 2,783

65% 70% 64%

22% 18% 23%

13% 12% 13%

Male highest earner

Female highest earner

Earn equal amounts

Gen XMillennials Baby Boomers

Digital is beginning to accelerate women’s advancement in the workplace, but has not yet had an effect on gender pay equality

Advancement


The Gender Equality Gap at Work Closes as Digital Fluency Increases

0 10 20 30 40 50 60 70 800

20

40

60

80

Women Linéaire (Women) Men

Linéaire (Men) Linéaire (Men)

Digital Fluency

Care

er O

utco

mes

• Career outcomes (vertical axis) is the combined score for education, employment and advancement at work.

The gap closes as digital fluency increases

Women still score below men, but making progress toward equality

By combining all three of the career outcome measures (education, employment and advancement) our model clearly shows the overall workplace gender gap closing as digital fluency increases.

Note: Chart depicts the statistical relationship (calculated through regression analysis) between digital fluency and the outcome on the vertical axis. The steeper the slope of the line, the stronger the relationship.


Overall Model


0

4

8

12

16

20

Year

Gen

der

ineq

ualit

y in

the

wor

kpla

ce

(Gap

bet

wee

n M

en a

nd W

omen

in O

utco

mes

)

0

4

8

12

16

20

Year

Gen

der

ineq

ualit

y in

the

wor

kpla

ce

(Gap

bet

wee

n M

en a

nd W

omen

in O

utco

mes

)

Developing countriesDeveloped countries

Digital Has the Power to Accelerate Progress Toward Gender Equality

40y25y


Note: Estimates are based on regression analysis to forecast what would happen to the overall digital fluency scores (i.e. our measure of equality) if the current pace at which women acquire digital skills doubled.

The date when the gap between men and women’s scores is closed at the current pace of change

And …. The date if you double the speed women acquire digital fluency

Time needed to achieve gender equality in the workplace

If governments and businesses double the pace at which women become digitally fluent, countries could significantly shorten the time to workplace gender equally.

Overall Model


People are Optimistic About the Future

70%

70%

Women

Men

70%Millennial women

75%Millennial men (highest percentage among groups)

Base = Working men and women; n=3,528

Our survey shows that men and women alike believe that women will thrive as a wider variety of working arrangements, enabled by digital, replace traditional ways of working.


Attitudes Differ Across Regions

Percentage of women who agree that, by the year 2020, a higher percentage of women will hold senior management positions compared to today.

Developing Markets74%

Base = Working women

Developed Markets58%

In the developing markets women are much more positive about the impact of digital on the workplace