O MUNDO DO TRABALHO HOJE.

Transcrição

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3 SÓ SE FALA NISSO.

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5 O MUNDO DO TRABALHO HOJE.

6 + TECNOLOGIA + INFORMAÇÃO + VELOCIDADE

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8 AS PESSOAS ESTÃO NO LIMITE...

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10 AS ORGANIZAÇÕES NÃO SÃO MAIS AS MESMAS...

11 A NETWORK OF TEAMS A A B Shared values and culture Transparent goals and projects B F C D Free flow of information and feedback C D E E G People rewarded for their skills and abilities, not position HOW THINGS WERE HOW THINGS ARE HOW THINGS WORK

12 FRAGMENTAÇÃO DA RELAÇÃO COM O TRABALHO 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)

13 QUAL O PAPEL DO RH?

14 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

15 OLHAR SOB UMA NOVA PERSPECTIVA

16 TECNOLOGIA INSIDE OUT

17 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

18 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

19 A TECNOLOGIA VAI ACABAR COM OS EMPREGOS?

20 DEPENDE... TABLE 2: ESTIMATES OF TECHNOLOGICAL UNEMPLOYMENT ORGANIZATION University of Oxford PricewaterhouseCoopers ILO McKinsey OECD Roland Berger World Bank Bruegel ESTIMATES 47% of workers in America at high risk of jobs replaced by automation 38% of jobs in America, 30% of jobs in UK, 21% in Japan and 35% in Germany at risk to automation ASEAN-5: 56% of jobs at risk to automation in next 20 years 60% of all occupations have at least 30% technically automatable activities 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 Western Europe: 8.3m jobs lost in industry against 10m new jobs created in services by /3 of all jobs in developing countries are susceptible to automation 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).

21 WORKFORCE EXPERIENCE (É SOBRE CONFIANÇA!)

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23 LEARNING EXPERIENCE

24 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

25 UM EXEMPLO SIMPLES MICRO-LEARNING I need help now. 2 minutes or less Topic or problem based Search by asking a question Video or text Indexed and searchable Content rated for quality and utility Is the content useful and accurate? Videos, articles, code samples, tools MACRO-LEARNING I want to learn something new. Several hours or days Definitions, concepts, principles, and practice Exercises graded by others People to talk with, learn from Coaching and support needed Is the author authoritative and educational? Courses, classes, MOOCs, programs

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27 A liderança heróica acabou

28 Lifelong Learning

29 La semplicità è l ultima sofisticazione.

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31 ALGUMAS FONTES ILO - Internacional Labour Organization IMF - International Monetary Fund Deloitte Mercer PwC Accenture OEDC - Organization for Economic Co-opeartion and Development EIU: Economist Intelligence Unit Institute for the future KPMG IBM SU - Singularity University