Top 10 Business Trends Mod 2020_claus_kjeldsen Institut for Fremtidsforskning

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Top 10 Business Trends Mod 2020_claus_kjeldsen Institut for Fremtidsforskning

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  • Hvem er IFF Grundlagt i 1970 af Thorkil Kristensen

    Medlemsbaseret non-profit forening

    Privat, neutral og uafhngig

    Tvrfaglig tnketank (konomer, politologer, etnologer, kommunikationsfolk, sociologer, en astrofysiker og filosoffer)

    Ca. 20 medarbejdere City Future Clubs

  • Hvad laver vi?

    Medlemsrapporter

    Prisvindende magasin

    http://www.iff.dk/scripts/artikel.asp?id=2063http://www.iff.dk/scripts/artikel.asp?id=2009http://www.iff.dk/scripts/artikel.asp?id=1979http://www.iff.dk/scripts/artikel.asp?id=1772&lng=2
  • Projekter

  • At studere fremtiden er en del af den menneskelige natur

    Det er en afgrende faktor i vores politiske, sociale, kulturelle og konomiske udvikling.

    Det er et grundlggende aspekt i:

    Hvem vi er?

    Og hvordan vi fungerer?

  • Tidssyn - fremtidsperspektiv

    Nutidsorienterede

    Seeing is beliving

    Fortidsorienterede

    Fremtidsorienterede

    Implementation eats strategy for breakfast

    Udfordring: Hvordan fr vi dem til at arbejde sammen?

  • som vi er og ikke som

  • Tidssyn 2014 og 2004 2004 Skabere 15% Navigatrer 32% Tilpassere 33% Fastholdere 20%

    15%

    55%

    20% FremtidsorienteredeNutidsorienteredeFortidsorienterede

    2004

    2014

    2014

  • Forudsigelser er sjldent selvopfyldende

    economist, but I do believe that we are growing

    President George W. Bush July 2008

  • Kunderne bliver stadig mere krvende

    "Who the hell wants to hear actors

    H.M. Warner, Warner Brothers, 1927.

    http://history.sandiego.edu/gen/filmnotes/images2/PDRM7732b.jpg
  • Kan vi sprge dem?

    Henry Ford

    http://nl.wikipedia.org/wiki/Afbeelding:Henry_Ford.jpg
  • Megatrends er aggregerede enkeltbegivenheder, der alle trkker i samme retning og ndrer vores omverden.

    Top level

    megatrend

    Sub-trend

    trends

    Individual

    observations

    Tidshorisont p 10-15 r ikke ndvendigvis linere Pvirker samfundet over en bred front Stor effekt man kan ikke gemme sig for en megatrend Implikationerne afhnger af, hvor man str internt afhngige Vi har en tendens til at overvurdere konsekvenserne p kort sigt Og undervurdere dem p lngere sigt

  • En god model til anvendelse af megatrends og identifikation af strategiske temaer

    Transactional environment

    Contextual environment

    Megatrends

    Society and values Technology developments Economic Environmental stresses Political developments

    Regional and national stakeholders (outside of industry)

    Funding Competitors Political and legislative actors (relevance in industry) Suppliers Meeting of physical and digital infrastructure Influencers Players in value chain Consumer advocates

    13

    Din

    Organisation

    Strategy Business development

    Innovation

    Trusler

    Muligheder

  • Et eksempel fra IFF

    Vi m regne med et voksende antal mellemindkomstlande som konkurrenter, men ogs som markeder - hvis vi forstr at arbejde under deres politiske og kulturelle omstndigheder. Inden r 2005 m vi regne med, at Kina, og mske Indien, vil

    Kilde, IFF: Mod r 2005, 1980

  • Megatrends Network society

    Sustainability

    Knowledge society

    Immaterialization

    Democratization

    Acceleration and complexity

    Technologic development

    Economic growth

    Demographic development

    Focus on health

    Polarization

    Globalization

    Commercialization

    Individualization

  • Megatrends Network society

    Sustainability

    Knowledge society

    Immaterialization

    Democratization

    Acceleration and complexity

    Technologic development

    Economic growth

    Demographic development

    Focus on health

    Polarization

    Globalization

    Commercialization

    Individualization

  • Accelerating pace of change

  • Accelerating pace of change Exponential rate of ICT development

    Technological progress in particular, improvements in computer hardware, software, and networks has been so rapid and so surprising that many present-day organizations, institutions, policies, and mindsets are not keeping up

    Hyper-competition is accelerating creative destruction

    cannot keep up: 40% of last less than 2 years and

    median tenures lasted 5.5 years (in Australia it is down to 3.9 years)

    0

    10

    20

    30

    40

    50

    60

    70

    80

    1973-1983 1983-1993 1993-2003 2003-2013

    The rate of replacement of Fortune1000

    Source: Nathan Furr, Big Business ... The End is Near: Why 70% of the Fortune 1000 Will Be Replaced in a Few Years. Forbes. 21 April 2011 http://www.tlnt.com/2010/07/28/so-long-and-farewell-lon-youre-simply-part-of-the-ceo-trend/

  • When assets become liabilities Blockbuster video

  • Customers, innovation, competitors the biggest threat to organizations

    Likelihood

    Sig

    nif

    ica

    nc

    e

    Terrorism

    Hazards

    Compliance

    Reputation

    Business Interruption

    Regulation

    Interest rates

    Credit Risk

    Foreign Exchange

    Source: Torben Juul Andersen, SRM (2006)

    Political Risk

    Economic Conditions

    Technology Shifts

    Innovation Competitor Shifts

    Customer Preference

  • Industries converge

    2000 2012

    1. Nokia 1. Samsung

    2. Motorola 2. Nokia

    3. Ericsson 3. Apple

    4. Siemens 4. ZTE

    5. Panasonic 5. LG Electronics

    Five largest mobile handset manufacturers worldwide based on quarterly sales figures

    (total units sold)

    Source: Gartner dataquest, 2010, 2012

  • Hvilke markeder konvergerer i jeres branche? Er i tt p kunderne/markedet?

  • Accelerating pace of change Exponential rate of ICT development

    Technological progress - in particular, improvements in computer hardware, software, and networks - has been so rapid and so surprising that many present-day organizations, institutions, policies, and mindsets are not keeping up

    Hyper-competition is accelerating creative destruction

    cannot keep up: 40% of last less than 2 years and

    median tenures lasted 5.5 years (in Australia it is down to 3.9 years)

    0

    10

    20

    30

    40

    50

    60

    70

    80

    1973-1983 1983-1993 1993-2003 2003-2013

    The rate of replacement of Fortune1000

    Source: Nathan Furr, Big Business ... The End is Near: Why 70% of the Fortune 1000 Will Be Replaced in a Few Years. Forbes. 21 April 2011 http://www.tlnt.com/2010/07/28/so-long-and-farewell-lon-youre-simply-part-of-the-ceo-trend/

  • get acceleration og kompleksitet imdegs med nsket om get fleksibilitet/agilitet i vrdikden. Eksempelvis p forpligtelser overfor medarbejdere:

    I OECD-landene har vksten i midlertidige jobs vret 1.5 2 gange s hj som vksten i faste ansttelser

    I Frankrig har vksten vret 66% mod 7% i faste jobs fra 2000 2010

    Tendensen er strk og rammer alle virksomhedens omrder

    Source: McKinsey, 2012

  • world is changing fast.

    Big will not beat small anymore.

    It will be the fast beating the

    slow Rupert Murdoch

  • Vi gr fra produkt til service

    Eje Lease

    Service

    Aktiver/Pant Cash flow

  • Answer: Seek networks and partnerships

  • Hierarkier udfordres af Netvrk

    Non-social interaktion

    Vrdi i transaktioner

    Businessstabilitet

    Veldefinerede industrier og hierarkier

    Envejsmarkeder

    Begrnset information

    Overskud af ressourcer

    Gennemgribende social interaktion

    Vrdi i forhold

    flux

    Industritransformation

    Tovejsmarkeder

    Informations overflod

    Ressourcemssige begrnsninger

    Institutioner Drivkrfter Ambient kommunikation Globale informationsstrmme Social computing Markedets diskontinuitet

    Fllesskaber

    KONTROL Source: Dion Hinchchiffe, 2010

  • Hvordan gr I fra produkt til service? Hvordan ger I kundens fleksibilitet?

    ?

  • Implikationer af acceleration og kompleksitet

    Kan vi spotte ndret kundeadfrd i vores BI (early warning )

    Er vi gearet til at lede/styre fremtidens projektorganisation

    Hvordan samarbejder vi i vores vrdikde med specialiserede eksterne aktrer

    Hvordan hndterer vi sikkerhed i en mere ben struktur

  • How does this affects private consumption?

    MR1 2013

  • Megatrends Network society

    Sustainability

    Knowledge society

    Immaterialization

    Democratization

    Acceleration and complexity

    Technologic development

    Economic growth

    Demographic development

    Focus on health

    Polarization

    Globalization

    Commercialization

    Individualization

  • Adgang/service er vigtigere end ejerskab

  • Robottaxien kommer nr man kalder

  • Fordele ved leje - og deleordninger Strre fleksibilitet og mobilitet

    Bedre service

    Stordriftsfordele

    Koordinering via internet

    Del af et fllesskab

    Fremfor alt: Mere bekvemmelighed

  • Sharing economy

    Source: The Economist (2013)

  • FREEDOM FROM OWNING

  • Megatrends Network society

    Sustainability

    Knowledge society

    Immaterialization

    Democratization

    Acceleration and complexity

    Technologic development

    Economic growth

    Demographic development

    Focus on health

    Polarization

    Globalization

    Commercialization

    Individualization

  • Demografi

  • More developed regions

    Low Variant

    Population (in 1000)

    40,00030,00020,00010,000010,00020,00030,00040,000

    0-4

    5-9

    10-14

    15-19

    20-24

    25-29

    30-34

    35-39

    40-44

    45-49

    50-54

    55-59

    60-64

    65-69

    70-74

    75-79

    80-84

    85-89

    90-94

    95-99

    100+ Male FemaleMnd Kvinder

    Population (i tusental)

    1950

    Median age

    28,6

    OECD

  • More developed regions

    Low Variant

    Population (in 1000)

    40,00030,00020,00010,000010,00020,00030,00040,000

    0-4

    5-9

    10-14

    15-19

    20-24

    25-29

    30-34

    35-39

    40-44

    45-49

    50-54

    55-59

    60-64

    65-69

    70-74

    75-79

    80-84

    85-89

    90-94

    95-99

    100+ Male FemaleMnd Kvinder

    1960

    Median age

    29,6

    Population (i tusental)

    OECD

  • More developed regions

    Low Variant

    Population (in 1000)

    40,00030,00020,00010,000010,00020,00030,00040,000

    0-4

    5-9

    10-14

    15-19

    20-24

    25-29

    30-34

    35-39

    40-44

    45-49

    50-54

    55-59

    60-64

    65-69

    70-74

    75-79

    80-84

    85-89

    90-94

    95-99

    100+ Male FemaleMnd Kvinder

    1970

    Median age

    30,6

    Population (i tusental)

    OECD

  • More developed regions

    Low Variant

    Population (in 1000)

    40,00030,00020,00010,000010,00020,00030,00040,000

    0-4

    5-9

    10-14

    15-19

    20-24

    25-29

    30-34

    35-39

    40-44

    45-49

    50-54

    55-59

    60-64

    65-69

    70-74

    75-79

    80-84

    85-89

    90-94

    95-99

    100+ Male FemaleMnd Kvinder

    1980

    Median age

    31,9

    Population (i tusental)

    OECD

  • More developed regions

    Low Variant

    Population (in 1000)

    40,00030,00020,00010,000010,00020,00030,00040,000

    0-4

    5-9

    10-14

    15-19

    20-24

    25-29

    30-34

    35-39

    40-44

    45-49

    50-54

    55-59

    60-64

    65-69

    70-74

    75-79

    80-84

    85-89

    90-94

    95-99

    100+ Male FemaleMnd Kvinder

    1990

    Median age

    34,4

    Population (i tusental)

    OECD

  • More developed regions

    Low Variant

    Population (in 1000)

    40,00030,00020,00010,000010,00020,00030,00040,000

    0-4

    5-9

    10-14

    15-19

    20-24

    25-29

    30-34

    35-39

    40-44

    45-49

    50-54

    55-59

    60-64

    65-69

    70-74

    75-79

    80-84

    85-89

    90-94

    95-99

    100+ Male FemaleMnd Kvinder

    2000

    Median age

    37,6

    Population (i tusental)

    OECD

  • More developed regions

    Low Variant

    Population (in 1000)

    40,00030,00020,00010,000010,00020,00030,00040,000

    0-4

    5-9

    10-14

    15-19

    20-24

    25-29

    30-34

    35-39

    40-44

    45-49

    50-54

    55-59

    60-64

    65-69

    70-74

    75-79

    80-84

    85-89

    90-94

    95-99

    100+ Male FemaleMnd Kvinder

    2010

    Median age

    40,8

    Population (i tusental)

    OECD

  • More developed regions

    Low Variant

    Population (in 1000)

    40,00030,00020,00010,000010,00020,00030,00040,000

    0-4

    5-9

    10-14

    15-19

    20-24

    25-29

    30-34

    35-39

    40-44

    45-49

    50-54

    55-59

    60-64

    65-69

    70-74

    75-79

    80-84

    85-89

    90-94

    95-99

    100+ Male FemaleMnd Kvinder

    2020

    Median age

    43,8

    Population (i tusental)

    OECD

  • More developed regions

    Low Variant

    Population (in 1000)

    40,00030,00020,00010,000010,00020,00030,00040,000

    0-4

    5-9

    10-14

    15-19

    20-24

    25-29

    30-34

    35-39

    40-44

    45-49

    50-54

    55-59

    60-64

    65-69

    70-74

    75-79

    80-84

    85-89

    90-94

    95-99

    100+ Male FemaleMnd Kvinder

    2030

    Median age

    46,6

    Population (i tusental)

    OECD

  • More developed regions

    Low Variant

    Population (in 1000)

    40,00030,00020,00010,000010,00020,00030,00040,000

    0-4

    5-9

    10-14

    15-19

    20-24

    25-29

    30-34

    35-39

    40-44

    45-49

    50-54

    55-59

    60-64

    65-69

    70-74

    75-79

    80-84

    85-89

    90-94

    95-99

    100+ Male FemaleMnd Kvinder

    2040

    Median age

    49,4

    Population (i tusental)

    OECD

  • More developed regions

    Low Variant

    Population (in 1000)

    40,00030,00020,00010,000010,00020,00030,00040,000

    0-4

    5-9

    10-14

    15-19

    20-24

    25-29

    30-34

    35-39

    40-44

    45-49

    50-54

    55-59

    60-64

    65-69

    70-74

    75-79

    80-84

    85-89

    90-94

    95-99

    100+ Male FemaleMnd Kvinder

    2050

    Median age

    51,1

    Population (i tusental)

    OECD

  • Senior lines

    K-citymarket (Finland) testing slow -track checkout lane for the old and handicapped

    Slow moving belt, help with placing items on belt, small talking with the co -worker

    Grab a chair - sit down and enjoy the atmosphere

  • 0 20 40 60 80

    80 60 40 20 0

    Fortid

    Fremtid

    Afh

    n

    gig

    e

    Uafh

    n

    gig

    e

    Fri

    e 1

    Fo

    rld

    re

    Fri

    e 2

    ld

    re

    Livsfaser:

    Age

    Age

  • Omkari Panwar, 70 r

    Vi har det bedre end forventet

  • Urban population by major geographical area (in per cent of total population)

    United Nations:World Urbanization Prospects, the 2011 Revision

    Hvad sker der nr vi kombinere aldring med urbanisering

  • Genkai Shuraku?

    Et by-samfund rammer en kritisk grnse, nr 50% af borgerne er over 65 r. Ultimativt forhindrer det samfundets praktiske funktionalitet. 18.775 byer vil vre Genkai shuraku i

    Andel af befolkningen i 2012 og 2020, der er fyldt 65 r

    Kilde: DS, 2012

  • Danmarks vkst drevet af to metropoler

    Kilde: Danmarks Statisk

    9 ud af 10 danskere bor i byerne

    Metropol regioner

    Byer kombineret med forstder for at danne regioner.

    Korridorer

    De korridorer, der forbinder to strre byer eller metropol regioner

    Befolkningsvkst fra 2012 til 2020

  • Kan udviklingen bremses

  • I job Arbejdslse , folke - og frtids -pensionister

    Kbenhavn by 90,9 9,1

    stjylland 85,3 14,7

    Fyn 77,7 22,3

    Vest- og Sydsjlland 72 28

    Hele landet 83,3 16,7

    28%

    91%

    85%

    Flyttemnster - skvvridningen fortstter

    Kilde: Arbejderbevgelsens Erhvervsrd

    9%

    72%

    22%

    78%

    15%

    Ikke i job 169.000

    Beskftiget, flytter til Kbh og stjylland;

    125.000

    Beskftiget, flytter til resten af landet; 68.000

    362.000 flytter fra een kommune til en anden 2009-2011 I job:193.000

  • I dag: "Pentagonen": London, Hamburg, Mnchen, Milano og Paris.

    London, Paris, Hamburg og Warszawa.

    resundsregionens infrastruktur (jernbane og vej) til Europa allerede mttet.

    Det danske jernbanenet er under den standard, der findes i nabolande.

    Hvilke konsekvenser har bningen

    Lufthavns fremtid?

    Source: EPSON 2006, IDA, 2009, NISA 2010

  • til vores butikker i London og Newcastle i nord er lige s forskelligt som at kbe ind til to forskellige lande

    20059 16034

    0

    5000

    10000

    15000

    20000

    25000

    London vrige Storbritannien

    Gennemsnitlig husstandsindkomst 2014 i pund

    34 39,7 42,9

    0

    20

    40

    60

    London-regionen vrige Storbritannien South West (Bristol)

    Storbritannien gennemsnitsalder 2014

  • FOR INTERNAL USE ONLY

    The world has 23 megacities metropolitan areas with populations in excess of 10 million. The household names of the urban world, these first -tier cities produce some 14 percent of global GDP. Between now and 2025, as the urban world shifts south and east, these traditional megacities are set to be joined by 13 new ones seven of them in China, and only one (Chicago) in the developed world.

  • Feminization of society - the evolution of authority

  • Kvinderne er fremtidens vindere

    Kvindernes andel af nordiske kandidater ISCED 5+6

    0

    10000

    20000

    30000

    40000

    50000

    60000

    70000

    80000

    90000

    100000

    1999 2000 2001 2002 2003 2004 2005 2006

    Men Women

    Ingenir og naturvidenskab uforandret

    0,00%

    10,00%

    20,00%

    30,00%

    40,00%

    50,00%

    60,00%

    1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009

    3. Social science, business and law

    4. Natural science, mathematics and computing

    5. Engineering, manufacturing and construction

    Liner ( 3. Social science, business and law)

    Liner ( 4. Natural science, mathematics and computing)

    Liner ( 4. Natural science, mathematics and computing)

    Kvindernes andel af kandidater voksede 2,5 gange hurtigere end mndenes

    Kilde: Nordstat, 2011

  • She-conomy

    The average American woman is expected to earn more than the average American male by 2028.

    Women account for 85% of all consumer purchases :

    91% of New Homes

    66% PCs

    92% Vacations

    80% Healthcare

    65% New Cars

    89% Bank Accounts

    93% Food

    93 % OTC Pharmaceuticals

    Sources: She-conomy.com

  • Think new business platforms understanding and targeting women