Post on 29-Dec-2018
transcript
HOW THINGS WERE HOW THINGS “ARE” HOW THINGS WORK
Shared values and culture
Transparent goals and projects
Free flow of information
and feedback
People rewarded for their skills
and abilities, not position
A
B
C D E
B
A
F C D
G
E
A NETWORK
OF TEAMS
Packetization
of Joe
Re-Application
of Joe
... in some
time slots
(could be for
seconds)
... in some
location
(he needs
not be there)
... in some
context
(specific skills
of him only)
FRAGMENTAÇÃO
DA RELAÇÃO COM O TRABALHO
ARQUITETO
DA PERFORMANCE
Rh capaz de facilitar a produtividade das pessoas
Promovendo o uso de ferramentas e tecnologias
Incentivando a aprendizagem de novas habilidades
e conhecimentos
De forma fluida, com menos atrito possível
Garantindo o alinhamento dos interesses
INSIDE
Analytics e big data: de métricas para insights/previsões, elevando o nível das
decisões
Inteligência Artificial e Inteligência Aumentada: além da automatização de
atividades cognitivas.
Social Technologies: mais poder para os times, desafia a hierarquia tradicional
Cloud: ganhar agilidade e disponibilidade com menor custo
Agile Mindset: flexibilidade, simplicidade, assumir riscos, foco no consumidor
OUT
“Consumerização” da tecnologia: Rh pode aprender com Marketing
Personalizar a proposta de valor: reconhecimento, carreira etc
Replicar elementos de uma cultura ágil, incentivando a inovação
Ser co-líder da transformação digital
DEPENDE...
TABLE 2: ESTIMATES OF TECHNOLOGICAL UNEMPLOYMENT
ORGANIZATION ESTIMATES
University of Oxford 47% of workers in America at high risk of jobs replaced by automation
PricewaterhouseCoopers 38% of jobs in America, 30% of jobs in UK, 21% in Japan and 35% in
Germany at risk to automation
ILO ASEAN-5: 56% of jobs at risk to automation in next 20 years
McKinsey 60% of all occupations have at least 30% technically automatable activities
OECD OECD average: 9% of jobs at high risk. Low risk of complete automation
but an important share (between 50% - 70%) of automatable tasks at risk
Roland Berger Western Europe: 8.3m jobs lost in industry against 10m new jobs
created in services by 2035
World Bank 2/3 of all jobs in developing countries are susceptible to automation
Bruegel EU countries: between 47% and 54% of jobs are risk of automation
Source: Frey and Osborne (2015); Roland Berger (2016); McKinsey
Global Institute (2016); PwC (2017); World Bank (2016); Chang and
Huynh (2016); Bowles (2014) and Bruegel Blog (2014).
INTEGRAR
TRABALHO E
APRENDIZAGEM
New technology helps
employees learn as they work
Learning organizations are
getting better at using data
Learning organizations realize
that learning and development
can be its own reward
UM EXEMPLO
SIMPLES
MICRO-LEARNING MACRO-LEARNING
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