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Hull University Business School Hull University Business School Connected Thinking! Engaging with grand challenges: can pro- societal information systems (ProSIS) help change behaviours? Richard Vidgen Professor of Systems Thinking IADIS 13 March 2013

ProSIS - pro social information systems - Vidgen March 2013

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Page 1: ProSIS - pro social information systems - Vidgen March 2013

Hull University Business School

Hull  University  Business  School  

Connected Thinking!

Engaging with grand challenges: can pro-

societal information systems (ProSIS) help

change behaviours?

Richard  Vidgen  Professor  of  Systems  Thinking  

IADIS  13  March  2013  

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Acknowledgements  

•  This  work  is  being  conducted  with  researchers  from  the  Australian  School  of  Business,  University  of  New  South  Wales:  – Patrick  Finnegan  – Lesley  Land  – Peter  SlaCery  

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Grand  challenges  

•  Grand  Challenges  -­‐  such  as  the  eradicaGon  of  extreme  poverty,  combaGng  diseases,  ensuring  sustainability,  and  reducing  social  conflict    -­‐  are  problems  that  are:  I.  difficult  to  solve,  II.  demand  significant  improvements  in  research,  III.  require  great  advances  of  knowledge,  IV.  require  collaboraGve  efforts  from  many  

disciplines  and  communiGes    (Winter  &  Butler,  2011)  

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Grand  challenges  

With  thanks  to  Andy  Parkinson,  Hull  City  Council  

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Poverty  Carbon  emissions  

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United  Arab  Emirates  

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Obesity  causes  society-­‐wide  cost  burden  

•  68  percent  of  adults  in  the  USA  are  overweight  or  obese1  –  more  than  one-­‐third  (35.7%)  

are  obese  –  half  will  be  obese  by  2030  

•  In  2008  the  medical  costs  associated  with  obesity  in  the  USA  were  esGmated  at  $147  billion  

•  By  2050,  60%  of  adult  men,  50%  of  adult  women  and  about  25%  of  all  children  under  16  in  the  UK  could  be  obese2  

1US  Center  for  Disease  Control  and  PrevenGon  (hCp://www.cdc.gov/obesity/data/adult.html)  2Foresight,  Tackling  ObesiGes:  Future  Choices,  UK  Government  Office  for  Science  (2007)  

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Exercise  •  According  to  the  Lancet  

–  Only  one  in  three  ciGzens  engage  in  the  minimum  recommended  level  of  exercise  per  week  in  the  UK  (63.3%  inacGve)  

–  It  is  4  in  5  in  the  Netherlands  (18%  inacGve)  

•  Impact  on  society  –  Health  system  –  ProducGvity  

The  Lancet,  as  reported  in  the  Guardian  18th  July  2012  hCp://www.guardian.co.uk/society/2012/jul/18/uk-­‐inacGve-­‐populaGon-­‐europe?INTCMP=ILCNETTXT3487  

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Has  IS  risen  to  the  challenge?  

•  Rather  than  look  at  large,  significant,  and  complex  societal  problems,  InformaGon  Systems  (IS)  has  been  criGcized  for  seemingly  preferring  to  look  at  small  and  familiar  ones  (Winter  &  Butler,  2011)  

•  This  may  be  due  to  a  focus  on  organizaGonal  concerns  to  the  neglect  of  societal  issues  (Galliers,  2003,  Hassan,  2006,  Markus,  1999)  

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Time  for  IS  to  step  up?  

•  Orlikowski  &  Iacono  (2001)  argue  for  a  wider  view  of  ICT  –  “our  future  is  becoming  increasingly  dependent  on  a  mulGplicity  of  pervasive  and  invasive  technological  arGfacts.  As  IS  researchers  we  have  the  opportunity  and  responsibility  to  influence  what  future  is  enacted  with  those  technological  arGfacts”  (p.  133).  

•  Desouza  et  al.  (2007)  say  “it  is  Gme  for  IS  scholars  to  be  fully  involved  in  solving  the  criGcal  problems  of  human  civilizaGon”  (p.  270).  

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Ten  Billion  

“We  are  in  a  desperate  situa.on  and  I  don't  think  people  realise  that.  Many  think  we  will  find  a  clever  solu.on  some.me  in  the  future,  like  building  solar  shields  in  space  to  keep  our  planet  cool.  I  am  going  to  tell  the  audience  that  these  ideas  are  very  suspect.    

Steven  EmmoC,  Professor  of  ComputaGon  at  the  University  of  Oxford  and  Head  of  Microsoq’s  ComputaGon  Science  Laboratory  in  Cambridge,  UK  (2012)  

(McKie,  2012,  hCp://www.guardian.co.uk/technology/2012/jul/15/overpopulaGon-­‐root-­‐planet-­‐problems-­‐emmoC)    

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The  need  for  behaviour  change  Radical  behaviour  change  is  what  is  really  needed.  Our  problems  are  not  just  those  concerned  with  carbon  emissions.  There  are  so  many  other  things  –  overfishing,  destroying  habitats  and  eradica.ng  species  –  that  we  need  to  change  …    …  Science  has  spent  far  too  long  hiding  behind  caveats.  We  have  to  come  off  the  shelf  although  I  suspect  it  may  be  too  late  now.  Indeed,  the  show  will  end  with  my  admiIng  to  the  audience  that  I  think  we  are  fucked.”  

Steven  EmmoC,  Professor  of  ComputaGon  at  the  University  of  Oxford  and  Head  of  Microsoq’s  ComputaGon  Science  Laboratory  in  Cambridge,  UK  (2012)  

(McKie,  2012,  hCp://www.guardian.co.uk/technology/2012/jul/15/overpopulaGon-­‐root-­‐planet-­‐problems-­‐emmoC)    

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Campaigns  •  "If  we  would  exercise  regularly,  eat  healthy,  control  our  weight,  sleep  enough,  manage  stress,  not  smoke  and  use  alcohol  only  moderately,  – 90%  of  type  II  diabetes  – 80%  of  heart  disease  – 70%  of  stroke    could  be  prevented.”  

Honka,  Kaipainen,  Hietala,  and  Saranummi  (2011)    

Public  health  promoGon  campaigns  won’t  be  effecGve  in  stopping  this  ‘tsunami’  

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Pro-­‐societal  behaviours  

•  Pro-­‐social  (altruisGc)  – e.g.,  charitable  giving,  philanthropy,  volunteering,  community  engagement,  acGvism  

•  Pro-­‐self  behaviours  (egoisGcal)  – e.g.,  taking  regular  exercise,  eaGng  a  healthy  diet,  drinking  responsibly,  managing  stress  

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Behaviour  change    •  "The  most  elemental  way  to  influence  someone's  behaviour  is  make  rewards  and  punishments  conGngent  on  the  enactment  of  the  behaviour"  (Nowak  et  al.,  2003,  p.384)    

•  In  the  UK  there  has  been  considerable  debate  about  –  tackling  obesity  using  the  'carrot'  of  financial  payment  for  weight  loss  

–  using  the  'sGck'  of  weight-­‐related  eligibility  for  operaGons  such  as  hip  replacement  

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hCp://www.mirror.co.uk/news/uk-­‐news/dr-­‐phillip-­‐lee-­‐conservaGve-­‐mp-­‐1458840  

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MoGvaGon  

•  Intrinsic  versus  extrinsic  moGvaGon  •  Crowding-­‐out  of  “intrinsic  moGvaGon”  by  extrinsic  incenGves  has  been  observed  in  a  broad  variety  of  social  interacGons  –  paying  blood  donors  could  actually  reduce  supply  –  volunteers  may  work  less  when  paid  –  imposing  sGffer  penalGes  can    undermine  individuals’  “internal  jusGficaGon”  for  obeying  the  law,  e.g.,  late  fees    

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InformaGon  processing  model  of  behaviour  change  

Awareness  Avtude  change  

Behaviour  change  

Sustainable  change  

CommunicaGon   Persuasion   Habit  Competency  and  autonomy  

Social  relatedness:  social  networks,  and  significant  others  

Drawing  on:  Deci  &  Ryan,  2002;  McGuire  1972;  Fogg  (2003);  Limayem  et  al.,  2007;  Cialdini,  2009)  

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The  social  context  of  behaviour  change  

•  Significant  others  are  those  that  have  influence  on  our  behaviours  –  e.g.,  parents,  guardians,  friends,  peers,  or  people  within  our  wider  social  network  

•  We  have  free  will,  but  behaviour  takes  place  within,  and  has  an  impact  on,  social  networks  

Which  person  is  best  placed  in  the  network  to  receive  new  informaGon  quickly?  

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ICT  and  behaviour  change  

•  How  might  we  use  ICT  to  help  – communicate  the  issues?  – persuade  of  the  need  for  behaviour  change?  – acquire  competency?  – maintain  a  sense  of  autonomy?  – make  the  behaviours  habitual?  – draw  on  and  build  social  relatedness?    

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MoGvaGonal  technology  design  

ICT  as  social  actor  

Persuasion  online  

Ambient  informaGon  

Social  media  

Games  and  AI  

Mo@va@onal  technology  principles  

Technology  applica@ons  

ICT  artefacts  with  moGvaGonal  affordances  

Ubiquitous  devices  

Context  awareness  

Physio-­‐sensing  

Enabling  technologies  

Technology  acceptance  

Neuro-­‐sensing  

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Affordances  

•  "technologies  have  material  properGes,  but  those  material  properGes  afford  different  possibiliGes  for  acGon  based  on  the  contexts  in  which  they  are  used.  Although  the  material  properGes  of  a  technology  are  common  to  each  person  who  encounters  them,  the  affordances  of  that  arGfact  are  not"  (Leonardi,  2011  p.153,  from  Gibson,  1977).  

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Affordances  •  Affordances  are  the  opportuniGes  which  an  environment  provides  to  an  actor  within  it    

 

Gibson  (1977)  

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Technology  acceptance  

•  Well  studied  in  informaGon  systems  –  IntenGon  to  use  technology,  conGnuance  intenGon,  IS  saGsfacGon,  Web  quality,  etc.  

•  Perceived  usefulness  •  Perceived  ease  of  use  •  Support  •  Trust  •  Social  influence  

e.g.,  Davis,  1989;  DeLone  &  McLean,  1992;  BhaCacherjee,  2001;  Venkatesh  et  al.,  2003  

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ICT  as  social  actor  •  Users  treat  computers  and  media  as  if  they  were  humans  –  the  computer  as  social  actor  (CASA)  

e.g.,  Nass  et  al.,  (1994);  Nass  et  a;.,  (1995);  Reeves  &  Nass  (1996)  

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Persuasion  online  •  Cialdini’s  (2005)  principles  of  persuasion  

– Scarcity  – Reciprocity  – Social  proof  – Liking  – Authority  – Commitment  and  consistency  

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Scarcity  and  social  proof  

scarcity   Social  proof  

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•  Someone  who  is  liked  by  their  target  audience  has  a  beCer  chance  of  persuading  them  

Liking  

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•  Authority  figures  can  oqen  persuade  people  to  do  things  they  wouldn’t  do  otherwise  

Authority  

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Ambient  informaGon  

•  Ambient  informaGon  – Non-­‐invasive,  passive  persuasion,  through  creaGng  awareness  of  informaGon  which  may  enable  avtude  or  behaviour  change  

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Social  media  •  Social  media  

–  play  a  fundamental  role  as  a  medium  for  the  spread  of  informaGon,  ideas,  and  influence  among  the  members  of  a  social  network  

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Games  &  “gamificaGon”  

•  Games  allow  persuasive  and  moGvaGonal  affordances,  for  example,  compeGGon,  entertainment  and  feedback    

e.g.,  Huotari  &  Hamari  (2012)  

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Games  and  ImaginaGve  Play  

•  ConstrucGng  ‘possible  worlds’  •  ‘Failing  for  free’  

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Enabling  Technologies  •  Ubiquitous  technologies  •  Context  awareness  •  Physio-­‐sensing  -­‐  heart  rate,  pupil  dilaGon,  stress  levels,  body  fat  levels    

•  Neuro-­‐sensing  –  brain-­‐computer  interface    

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MoGvaGonal  technology  design  

ICT  as  social  actor  

Persuasion  online  

Ambient  informaGon  

Social  media  

Games  and  AI  

Mo@va@onal  technology  principles  

Technology  applica@ons  

ICT  artefacts  with  moGvaGonal  affordances  

Ubiquitous  devices  

Context  awareness  

Physio-­‐sensing  

Enabling  technologies  

Technology  acceptance  

Neuro-­‐sensing  

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InformaGon  processing  model  of  behaviour  change  

Awareness  Avtude  change  

Behaviour  change  

Sustainable  change  

CommunicaGon   Persuasion   Habit  Competency  and  autonomy  

Social  relatedness:  social  networks,  and  significant  others  

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Inter-­‐connectedness  

Pro-­‐societal  behaviour  change  is  a  complex  issue  

Ethical  and  legal  implicaGons  

Technologies  

Unintended  consequences  

Stakeholders  

Problems  and  “soluGons”  

Socio-­‐poliGcal-­‐economic  factors  

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Interconnectedness  •  “Many  climate  change  goals  would  also  help  prevent  obesity,  

such  as  measures  to  reduce  traffic  congesGon,  increase  cycling  or  design  sustainable  communiGes.  Tackling  them  together  would  enhance  the  effecGveness  of  acGon.  There  are  also  synergies  with  other  policy  goals  such  as  increasing  social  inclusion  and  narrowing  health  inequaliGes  since  obesity’s  impact  is  greatest  on  the  poorest.”  

Foresight,  Tackling  ObesiGes:  Future  Choices,  UK  Government  Office  for  Science  (2007)  

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Interconnectedness  •  “Many  climate  change  goals  would  also  help  prevent  obesity,  

such  as  measures  to  reduce  traffic  congesGon,  increase  cycling  or  design  sustainable  communiGes.  Tackling  them  together  would  enhance  the  effecGveness  of  acGon.  There  are  also  synergies  with  other  policy  goals  such  as  increasing  social  inclusion  and  narrowing  health  inequaliGes  since  obesity’s  impact  is  greatest  on  the  poorest.”  

Foresight,  Tackling  ObesiGes:  Future  Choices,  UK  Government  Office  for  Science  (2007)  

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A  whole  systems  approach  •  “This  will  require  a  broad  set  of  integrated  policies  including  both  populaGon  and  targeted  measures  and  must  necessarily  include  acGon  not  only  by  government,  both  central  and  local,  but  also  acGon  by  industry,  communiGes,  families  and  society  as  a  whole”  Foresight,  Tackling  ObesiGes:  Future  Choices,  UK  Government  Office  for  Science  (2007)  

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Pro-­‐societal  informaGon  systems  (ProSIS)  

Complex  context  of  change  

Pro-­‐societal  behavior  change  

MoGvaGonal  technology  design  

     

Outcomes  –  measureable  changes  in  society  

Outcom

es  –  measureable  changes  in  

individual  behaviors        

     

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How  can  we  research  grand  challenges  in  IS?  

Case  studies  

Theory  building  

EvaluaGon  

IntervenGon(s)  How  do  we  know  if  a  treatment  works?  

MulG-­‐disciplinary  teams,  e.g.,  • Health  • Computer  Science  • Social  Policy  • MarkeGng  • InformaGon  Systems  

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EvaluaGon  -­‐  RCTs  

•  How  do  we  know  if  a  policy  or  intervenGon  is  working?  – Randomised  Controlled  Trials  (RCTs)  – Used  in  medicine,  development,  social  policy  – Rapidly  becoming  the  “gold  standard”  in  evaluaGon  

“No  causaGon  without  manipulaGon”  

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RCTs  

Haynes  et  al.,  2012.  “Test,  Learn,  Adapt:  Developing  Public  Policy  with  RCTs”.  UK  Cabinet  Office.  

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Haynes  et  al.,  2012.  “Test,  Learn,  Adapt:  Developing  Public  Policy  with  RCTs”.  UK  Cabinet  Office.  

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Hull University Business School

OpportuniGes  for  IS  researchers  •  RCTs  are  being  used  to  improve  business  performance,  oqen  in  an  IS  sevng:  – Amazon  and  eBay  test  what  works  for  driving  purchases  

– Wikipedia  compared  donaGon  adverts  with  and  without  a  picture  of  founder  Jimmy  Wales  

– Neylix  trialled  a  new  service  with  four  variants  and  four  groups  of  20,000  subscribers  

– Delta  airlines  used  RCTs  to  improve  web  site  design  in  the  flight  booking  process  

Haynes  et  al.,  2012.  “Test,  Learn,  Adapt:  Developing  Public  Policy  with  RCTs”.  UK  Cabinet  Office.  

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Hull University Business School

Why  ProSIS?  An  IS-­‐centric  shared  frame  of  reference  for  tackling  grand  challenges  

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Hull University Business School

Hull  University  Business  School  

Connected Thinking!

Thank you

Questions?

Richard  Vidgen  Professor  of  Systems  Thinking  

IADIS  13  March  2013