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Service System Design!
Yuriko Sawatani
Waseda University
Agenda	
•  Introduc-on	
  –	
  Service	
  System	
  
•  Service	
  Design	
  and	
  	
  Innova-on	
  
•  Research	
  designing	
  a	
  service	
  system	
  
•  Discussions	
  
Waseda	
  University	
 2
Service	
  science	
Waseda University 3
2004	
2007	
2010	
2011	
2011
Service system
•  Service is the application of competences (knowledge
and skills) by one entity for the benefit of another
•  Service systems is value-creation configurations (an
arrangement of resources connected to other systems by
value propositions)
•  Service science is the study of service systems and of
the co-creation of value within complex constellations of
integrated resources
4Ref: “On Value and Value co-creation: A service systems and service logic perspective” by S. Vargo, P. Maglio, M. Akaka	
Waseda	
  University
Key	
  concepts	
  of	
  service	
  science	
  
(Ref:	
  Spohrer	
  and	
  Maglio	
  2009) 	
Waseda University 5
Ecology	
Elements	
Interac-on	
  
(Network)	
Value	
  proposi-on	
  
based	
  interac-ons	
Stakeholders	
Metrics	
Resources	
Access	
  rights	
Governance	
  
mechanism	
  based	
  
interac-ons	
Outcomes	
Win-­‐Win	
Win-­‐Lose	
Lose-­‐Win	
Lose-­‐Lose
Design	
Waseda University 6
2001	
Design	
  ac-vi-es	
  since	
  1900	
  
	
  
Emergence	
  of	
  Informa-on	
  technology	
  
1876	
   	
  Telephone	
  
1914	
   	
  IBM	
  
1976	
   	
  Apple	
  
	
  
Integra-on	
  of	
  Design	
  and	
  IT	
  
1991	
   	
  IDEO	
  
1999 	
   	
  Human	
  interface	
  society	
  
2005	
   	
  Stanford	
  Univ.	
  d.school	
  
2008 	
   	
  Keio	
  Univ.	
  SDM	
  
	
  
Expanding	
  to	
  service,	
  service	
  system	
  
2004	
   	
  Service	
  Design	
  Network	
  
2011 	
   	
  Service	
  system	
  
	
2005	
2011	
2013
Service	
  Design	
  and	
  Innova-on	
Waseda	
  University	
 7	
 	
   1950	
  -­‐	
   1970	
  -­‐	
   1980	
  -­‐	
   1990	
  -­‐	
   2000	
  -­‐	
  
Source	
  of	
  
innova-on	
  
Technology	
  
Technology	
  push	
  
model	
  (Bush	
  1945),	
  
Dosi	
  1982),	
  
Rothwell	
  
1992,1994)	
  
Chain-­‐linked	
  
model	
  (1970-­‐	
  	
  
Kline	
  and	
  
Rosenberg	
  1986),	
  	
  
Gate	
  keeper	
  
(Allen	
  1977)	
  
	
  
 	
  
Mode	
  1	
  &	
  Mode	
  2	
  
(Gibbons,	
  et	
  al.	
  
1994),	
  
Service	
  innova-on	
  
(Sundbo	
  1994,	
  
Edvardssin	
  and	
  
Olsson	
  1996,	
  Gallouj	
  
1998)	
  
Open	
  Innova-on	
  
(Chesbrough	
  2003),	
  
Service	
  Science,	
  
Management,	
  
Engineering	
  and	
  
Design	
  (2004-­‐)	
  
	
  
Non-­‐
technology	
  
(market)	
  
Market	
  pull	
  model	
  
(Schmookler	
  1966,	
  
Scherer	
  1982)	
  
User	
  
innova-on	
  
von	
  Hippel	
  
(1988)	
  
Design	
  focus	
  
Industrial	
  products	
  (William	
  Morris,	
  Bauhaus,	
  Post	
  modern,	
  IDEO,	
  d.school)	
  
 	
  
Service	
  products	
  (Shostack	
  1984,	
  
Bitner	
  1992,	
  Erlhoff,	
  Merger,	
  
Manzini	
  1997),	
  Interac-on	
  (Holmlid	
  
2007)	
  
 	
  
Service	
  Systems	
  
PSS	
  (Morelli	
  
2002),	
  Service	
  
system	
  (The	
  
Science	
  of	
  
Service	
  Systems	
  
2011)	
  
Service	
  Systems	
Waseda	
  University	
 8	
Ref:	
  hcp://www-­‐935.ibm.com/services/us/gbs/bus/html/ibv-­‐smarter-­‐planet-­‐system-­‐of-­‐systems.html	
  
Service	
  system	
  viewpoints	
Complexities	
Systems	
 Simple/closed	
 Complex/open 	
Jackson (System of Systems
Methodologies (SOSM)) 	
Difficulties in
synthesis	
Class 1	
 Class 2	
 Class 3	
 Ueda, et al. 	
Interactions	
Interactions	
 Value proposition based	
 Governance based	
 Spohrer, et al. 	
Value sharing
condition	
Unitary	
 Pluralist	
 Coercive	
Jackson (System of Systems
Methodologies (SOSM)) 	
Scopes	
System layer	
 Micro: People	
 Meso: Organization	
Macro: Social systems 	
S3FIRE 	
Layer of design	
Components,
Products
(Traditional
designing)	
Systems	
Community (Political
and social aspects)	
Jones	
Ref:	
  Spohrer,	
  J.	
  C.,	
  Demirkan,	
  H.,	
  and	
  Krishna,	
  V.,	
  2011,	
  Service	
  and	
  Science,	
  In	
  H.	
  Demirkan,	
  J.C.	
  Spohrer	
  and	
  V.	
  Krishna,	
  Eds.	
  The	
  Science	
  of	
  Service	
  Systems,	
  Springer,	
  pp.
325-­‐358.	
Sawatani,	
  Y.,	
  Arai,	
  T.,	
  and	
  Murakami,	
  T.,	
  Crea-ng	
  Knowledge	
  Structure	
  for	
  Service	
  Science,	
  2013,	
  PICMET	
Jackson,	
  Michael	
  C.,	
  2003,	
  Systems	
  Thinking:	
  Crea-ve	
  Holism	
  for	
  Managers,	
  John	
  Wiley	
  &	
  Sons	
  Ltd.,	
  UK	
  	
Ueda,	
  K.,	
  Takenaka,	
  T.,	
  Vancza,	
  J.,	
  and	
  Monostori,	
  L.,	
  2009,	
  Value	
  crea-on	
  and	
  decision-­‐making	
  in	
  sustainable	
  society,	
  CIRP	
  Annuals,	
  Manufacturing	
  Technology	
  58,	
  pp.681-­‐700	
  	
  	
  
Jones,	
  C.,1992,	
  DESIGN	
  METHODS,	
  John	
  Wiley	
  &	
  Sons.	
  	
Waseda	
  University	
 9
Service	
  system	
  layer	
  
	
Macro layer	
Meso layer	
Micro layer	
•  Social system	
•  Policy making	
•  Organization strategy	
•  Collaborative behavior 	
•  Person to person	
•  Operation	
Waseda University 10
Ref: http://ja.serviceology.org/events/index.html
Service	
  system	
  viewpoints	
Complexities	
Systems	
 Simple/closed	
 Complex/open 	
Jackson (System of Systems
Methodologies (SOSM)) 	
Difficulties in
synthesis	
Class 1	
 Class 2	
 Class 3	
 Ueda, et al. 	
Interactions	
Interactions	
 Value proposition based	
 Governance based	
 Spohrer, et al. 	
Value sharing
condition	
Unitary	
 Pluralist	
 Coercive	
Jackson (System of Systems
Methodologies (SOSM)) 	
Scopes	
System layer	
 Micro: People	
 Meso: Organization	
Macro: Social systems 	
S3FIRE 	
Layer of design	
Components,
Products
(Traditional
designing)	
Systems	
Community (Political
and social aspects)	
Jones	
Ref:	
  Spohrer,	
  J.	
  C.,	
  Demirkan,	
  H.,	
  and	
  Krishna,	
  V.,	
  2011,	
  Service	
  and	
  Science,	
  In	
  H.	
  Demirkan,	
  J.C.	
  Spohrer	
  and	
  V.	
  Krishna,	
  Eds.	
  The	
  Science	
  of	
  Service	
  Systems,	
  Springer,	
  pp.
325-­‐358.	
Sawatani,	
  Y.,	
  Arai,	
  T.,	
  and	
  Murakami,	
  T.,	
  Crea-ng	
  Knowledge	
  Structure	
  for	
  Service	
  Science,	
  2013,	
  PICMET	
Jackson,	
  Michael	
  C.,	
  2003,	
  Systems	
  Thinking:	
  Crea-ve	
  Holism	
  for	
  Managers,	
  John	
  Wiley	
  &	
  Sons	
  Ltd.,	
  UK	
  	
Ueda,	
  K.,	
  Takenaka,	
  T.,	
  Vancza,	
  J.,	
  and	
  Monostori,	
  L.,	
  2009,	
  Value	
  crea-on	
  and	
  decision-­‐making	
  in	
  sustainable	
  society,	
  CIRP	
  Annuals,	
  Manufacturing	
  Technology	
  58,	
  pp.681-­‐700	
  	
  	
  
Jones,	
  C.,1992,	
  DESIGN	
  METHODS,	
  John	
  Wiley	
  &	
  Sons.	
  	
Waseda	
  University	
 11
Expanded	
  research	
  areas	
  	
  
by	
  service	
  system	
  design	
  	
Waseda	
  University	
 12	
 	
  
Systems with value sharing condition	
Closed,	
  
Shared	
  
Open,	
  Shared	
  
Open,
Conflicted	
Scope	
Micro: People	
  	
  
 	
  
Meso:
Organization	
 	
    	
  
Macro: Social
systems 	
 	
    	
    	
  
Industrial	
  
products	
  
Service	
  products	
  
CBM	
  
SQALE
Component	
  Business	
  Modeling:	
  CBM	
  	
Ref:	
  hcp://capitalideas.wordpress.com/ibm-­‐cbm/	
Waseda	
  University	
 13
Services	
  Quality	
  Analysis	
  &	
  Learning	
  Engine	
Ref:	
  hcp://www.research.ibm.com/trl/projects/sse/sqale/index_e.htm	
Waseda	
  University	
 14
Expanded	
  research	
  areas	
  	
  
by	
  service	
  system	
  design	
  	
 	
Systems with value sharing condition	
Closed,	
  
Shared	
  
Open,	
  Shared	
  
Open,
Conflicted	
Scope	
Micro: People	
  	
 	
Meso:
Organization	
 	
  	
Macro: Social
systems 	
 	
  	
  	
Industrial	
  
products	
Service	
  products	
CBM	
  
SQALE	
Produc-vity	
  
tools	
Waseda	
  University	
 15
Produc-vity	
  tools	
  and	
  Metrics	
Tools	
  cost	
  benefits	
  
Analysis	
  model	
  	
  
based	
  on	
  use	
  cases	
  
Transla-on	
  -me	
  
Measurement	
  
method	
  
Measurement	
  
method	
  
Time	
  
Acributes	
  
Primi-ve	
  
metrics	
  
Computed	
  	
  
metrics	
  
Document	
  reviewing	
  tool	
  
benefits	
  
Ques-onnaire	
  
Transform.	
  
Rate	
  of	
  
Func-on	
  usage	
  
Mix	
  rate	
  
Of	
  staffing	
  
Measurement	
  
method	
  
Measurement	
  
method	
  
Q&A	
  support	
  benefits	
  
Ques-onnaire	
  
Transform.	
  
Com.	
  Volume	
  
Mix	
  rate	
  
Of	
  staffing	
  
Transla-on	
  assist	
  tool	
  
benefits	
  
Hours	
  
Improvement	
  
Product.	
  
Improvement	
  
Rate	
  of	
  
Func-on	
  usage	
  
Mix	
  rate	
  
Of	
  staffing	
  
Translated	
  words	
  #	
  etc.	
  
Counts	
  of	
  func-on-­‐usage	
  
Staffing	
  level	
  
Reviewing	
  -me	
  
Cri-qued	
  sentences	
  #	
  etc.	
  
Counts	
  of	
  func-on-­‐usage	
  
Staffing	
  level	
  
Ques-onnaire	
  on	
  quality	
  
Used	
  -me	
  
Translated	
  comm.	
  volume	
  
Staffing	
  level	
  
Ques-onnaire	
  on	
  usability	
  
Volume	
  
Frequency	
  of	
  
func-on-­‐usage	
  
Skill	
  level	
   Subjec-ve	
  quality	
  
Measurement	
  
method	
  
Ref:	
  hcp://www.research.ibm.com/trl/projects/sse/sqale/index_e.htm	
Waseda	
  University	
 16
Expanded	
  research	
  areas	
  	
  
by	
  service	
  system	
  design	
  	
 	
Systems with value sharing condition	
Closed,	
  
Shared	
  
Open,	
  Shared	
  
Open,
Conflicted	
Scope	
Micro: People	
  	
 	
Meso:
Organization	
 	
  	
Macro: Social
systems 	
 	
  	
  	
Industrial	
  
products	
Service	
  products	
CBM	
  
SQALE	
Produc-vity	
  
tools	
Innova-on	
  
Jam	
Waseda	
  University	
 17
Innova-on	
  Jam	
•  Real-­‐-me	
  discussion	
  
analysis	
  
•  Facilita-on	
  support	
Ref:	
  hcp://www-­‐03.ibm.com/ibm/history/ibm100/us/en/icons/innova-onjam/	
  
“Looking	
  for	
  Great	
  Ideas:	
  Analyzing	
  the	
  Innova-on	
  Jam”,	
  Mary	
  Helander,	
  Rick	
  Lawrence,	
  Yan	
  Liu,Claudia	
  Perlich,	
  Chandan	
  Reddy,	
  
Saharon	
  Rosset,	
  IBM	
  T.J.	
  Watson	
  Research	
  Center	
  	
Waseda	
  University	
 18
Expanded	
  research	
  areas	
  	
  
by	
  service	
  system	
  design	
  	
 	
Systems with value sharing condition	
Closed,	
  
Shared	
  
Open,	
  Shared	
  
Open,
Conflicted	
Scope	
Micro: People	
  	
 	
Meso:
Organization	
 	
  	
Macro: Social
systems 	
 	
  	
  	
Industrial	
  
products	
Service	
  products	
CBM	
  
SQALE	
Produc-vity	
  
tools	
Innova-on	
  
Jam	
Value	
  
Pricing	
Waseda	
  University	
 19
Value	
  Pricing	
  
§  Risk Evaluation
Price	
  Model	
  
Metrics	
  Distribu-on	
  
§  Share-rate Pricing
§ 	
  comparing	
  the	
  value	
  
of	
  project	
  with	
  that	
  of	
  
the	
  client-­‐self	
  case	
  
§  Value Modeling
§ Monte Carlo-based
method
§ Stochastic prediction
Client’s	
  &	
  Provider’s	
  
Benefit	
  
Simula-on	
  using	
  What-­‐
if	
  analysis	
  	
  to	
  es-mate	
  
the	
  expected	
  net	
  profit	
  
Calculation Module Output Information
KPI	
  
Economic	
  condi-ons	
  
Level	
  of	
  Client’s	
  business	
  process	
  
KPI	
  
Predictable	
  factor	
  
KPI	
  for	
  improvement	
  by	
  BPO	
  
As-­‐Is	
   To-­‐Be	
  
Input Information
•  System theory approach for
value-evaluation
Waseda	
  University	
 20
Expanded	
  research	
  areas	
  	
  
by	
  service	
  system	
  design	
  	
 	
Systems with value sharing condition	
Closed,	
  
Shared	
  
Open,	
  Shared	
  
Open,
Conflicted	
Scope	
Micro: People	
  	
 	
Meso:
Organization	
 	
  	
Macro: Social
systems 	
 	
  	
  	
Industrial	
  
products	
Service	
  products	
CBM	
  
SQALE	
Produc-vity	
  
tools	
Innova-on	
  
Jam	
Value	
  
Pricing	
Waseda	
  University	
 21
Basic	
  service	
  system	
  model	
SP	
A.Service	
  
Provider	
B.Service	
  
Receiver	
C.Service	
  
Set	
Service	
  interac-ons	
Content	
  (People,	
  Technology,	
  Shared	
  informa-on)	
  
Channel	
  (a	
  method	
  or	
  system	
  for	
  communica-on	
  or	
  distribu-on)	
Context	
Ref:	
  Gadrey,	
  J.,	
  2002,	
  The	
  misuse	
  of	
  produc-vity	
  concepts	
  in	
  services:	
  Lessons	
  from	
  a	
  comparison	
  between	
  France	
  and	
  the	
  United	
  States,	
  In	
  J.	
  Gadrey	
  and	
  
F.	
  Gallouj,	
  Eds.	
  Produc-vity,	
  Innova-on	
  and	
  Knowledge	
  in	
  Services:	
  New	
  Economic	
  and	
  Socio-­‐Economic	
  Approaches,	
  Edward	
  Elgar	
  Publisher,	
  pp.26-­‐53.	
Maglio,	
  Paul	
  P.,	
  Srinivasan,	
  S.,	
  Kreulen,	
  Jeffrey	
  T.,	
  and	
  Spohrer,	
  J.,	
  2006,	
  Service	
  systems,	
  service	
  scien-sts,	
  SSME,	
  and	
  innova-on,	
  Communica-ons	
  of	
  the	
  
ACM,	
  Vol	
  49	
  Issue	
  7,	
  pp.	
  81-­‐85.	
  	
  
Arai,	
  T.,	
  Shimomura,	
  Y.,	
  2004,	
  Proposal	
  of	
  Service	
  CAD	
  System	
  -­‐	
  A	
  Tool	
  for	
  Service	
  Engineering,	
  CIRP	
  Annals,	
  Vol.	
  53/1,	
  PP.397-­‐400.	
Waseda	
  University	
 22
SP	
A.Service	
  
Provider	
B.Service	
  
Receiver	
C.Service	
  
Set	
Service	
  interac-ons	
Content	
  (People,	
  Technology,	
  Shared	
  informa-on)	
  
Channel	
  (a	
  method	
  or	
  system	
  for	
  communica-on	
  or	
  distribu-on)	
Context	
Service	
  System	
  Research	
  Areas	
  
	
	
  	
  	
  	
  	
  	
Receiver
activities	
• Marketing
• Behavior science
• Kansei eng
• Human modeling
• Human
management	
Service provider
environment	
• Human resource
• Education
• Building
• IT infrastructure
Service value	
• Value eng
• Knowledge eng
• Macro/Micro economics
Provider activities	
• Design
• System eng
• OR/IE
• Quality management
• Cost management
Function realization	
• robotics
• Requirement eng
• SW eng, Informatics
• Robotics	
Organization science	
• Management science
• System eng
• Social science
Provider/Receiver
interaction	
• consensus building
• Interaction design	
• Anthropology
• Behavior
science
• Game theory
	
Service system
management	
• Policy, Social
system
• Platform	
Environmental
factor	
• Politics, Society,
Economy	
• Culture,
Civilization
Waseda University	
 23	
  
Ref:	
  hcp://ja.serviceology.org/events/index.html
Discussions	
•  Facilitate service system design applying these
common frameworks
•  Answering how questions, design methods and
tools, are also required
•  There are risks to reduce the research scopes by
introducing these common frameworks
•  Develop design methods and tools for Service
system as the next step	
Waseda University 24
Thank	
  you!	
  
	
  

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Service system design

  • 1. Service System Design! Yuriko Sawatani Waseda University
  • 2. Agenda •  Introduc-on  –  Service  System   •  Service  Design  and    Innova-on   •  Research  designing  a  service  system   •  Discussions   Waseda  University 2
  • 3. Service  science Waseda University 3 2004 2007 2010 2011 2011
  • 4. Service system •  Service is the application of competences (knowledge and skills) by one entity for the benefit of another •  Service systems is value-creation configurations (an arrangement of resources connected to other systems by value propositions) •  Service science is the study of service systems and of the co-creation of value within complex constellations of integrated resources 4Ref: “On Value and Value co-creation: A service systems and service logic perspective” by S. Vargo, P. Maglio, M. Akaka Waseda  University
  • 5. Key  concepts  of  service  science   (Ref:  Spohrer  and  Maglio  2009) Waseda University 5 Ecology Elements Interac-on   (Network) Value  proposi-on   based  interac-ons Stakeholders Metrics Resources Access  rights Governance   mechanism  based   interac-ons Outcomes Win-­‐Win Win-­‐Lose Lose-­‐Win Lose-­‐Lose
  • 6. Design Waseda University 6 2001 Design  ac-vi-es  since  1900     Emergence  of  Informa-on  technology   1876    Telephone   1914    IBM   1976    Apple     Integra-on  of  Design  and  IT   1991    IDEO   1999     Human  interface  society   2005    Stanford  Univ.  d.school   2008     Keio  Univ.  SDM     Expanding  to  service,  service  system   2004    Service  Design  Network   2011     Service  system   2005 2011 2013
  • 7. Service  Design  and  Innova-on Waseda  University 7     1950  -­‐   1970  -­‐   1980  -­‐   1990  -­‐   2000  -­‐   Source  of   innova-on   Technology   Technology  push   model  (Bush  1945),   Dosi  1982),   Rothwell   1992,1994)   Chain-­‐linked   model  (1970-­‐     Kline  and   Rosenberg  1986),     Gate  keeper   (Allen  1977)         Mode  1  &  Mode  2   (Gibbons,  et  al.   1994),   Service  innova-on   (Sundbo  1994,   Edvardssin  and   Olsson  1996,  Gallouj   1998)   Open  Innova-on   (Chesbrough  2003),   Service  Science,   Management,   Engineering  and   Design  (2004-­‐)     Non-­‐ technology   (market)   Market  pull  model   (Schmookler  1966,   Scherer  1982)   User   innova-on   von  Hippel   (1988)   Design  focus   Industrial  products  (William  Morris,  Bauhaus,  Post  modern,  IDEO,  d.school)       Service  products  (Shostack  1984,   Bitner  1992,  Erlhoff,  Merger,   Manzini  1997),  Interac-on  (Holmlid   2007)       Service  Systems   PSS  (Morelli   2002),  Service   system  (The   Science  of   Service  Systems   2011)  
  • 8. Service  Systems Waseda  University 8 Ref:  hcp://www-­‐935.ibm.com/services/us/gbs/bus/html/ibv-­‐smarter-­‐planet-­‐system-­‐of-­‐systems.html  
  • 9. Service  system  viewpoints Complexities Systems Simple/closed Complex/open Jackson (System of Systems Methodologies (SOSM)) Difficulties in synthesis Class 1 Class 2 Class 3 Ueda, et al. Interactions Interactions Value proposition based Governance based Spohrer, et al. Value sharing condition Unitary Pluralist Coercive Jackson (System of Systems Methodologies (SOSM)) Scopes System layer Micro: People Meso: Organization Macro: Social systems S3FIRE Layer of design Components, Products (Traditional designing) Systems Community (Political and social aspects) Jones Ref:  Spohrer,  J.  C.,  Demirkan,  H.,  and  Krishna,  V.,  2011,  Service  and  Science,  In  H.  Demirkan,  J.C.  Spohrer  and  V.  Krishna,  Eds.  The  Science  of  Service  Systems,  Springer,  pp. 325-­‐358. Sawatani,  Y.,  Arai,  T.,  and  Murakami,  T.,  Crea-ng  Knowledge  Structure  for  Service  Science,  2013,  PICMET Jackson,  Michael  C.,  2003,  Systems  Thinking:  Crea-ve  Holism  for  Managers,  John  Wiley  &  Sons  Ltd.,  UK   Ueda,  K.,  Takenaka,  T.,  Vancza,  J.,  and  Monostori,  L.,  2009,  Value  crea-on  and  decision-­‐making  in  sustainable  society,  CIRP  Annuals,  Manufacturing  Technology  58,  pp.681-­‐700       Jones,  C.,1992,  DESIGN  METHODS,  John  Wiley  &  Sons.   Waseda  University 9
  • 10. Service  system  layer   Macro layer Meso layer Micro layer •  Social system •  Policy making •  Organization strategy •  Collaborative behavior •  Person to person •  Operation Waseda University 10 Ref: http://ja.serviceology.org/events/index.html
  • 11. Service  system  viewpoints Complexities Systems Simple/closed Complex/open Jackson (System of Systems Methodologies (SOSM)) Difficulties in synthesis Class 1 Class 2 Class 3 Ueda, et al. Interactions Interactions Value proposition based Governance based Spohrer, et al. Value sharing condition Unitary Pluralist Coercive Jackson (System of Systems Methodologies (SOSM)) Scopes System layer Micro: People Meso: Organization Macro: Social systems S3FIRE Layer of design Components, Products (Traditional designing) Systems Community (Political and social aspects) Jones Ref:  Spohrer,  J.  C.,  Demirkan,  H.,  and  Krishna,  V.,  2011,  Service  and  Science,  In  H.  Demirkan,  J.C.  Spohrer  and  V.  Krishna,  Eds.  The  Science  of  Service  Systems,  Springer,  pp. 325-­‐358. Sawatani,  Y.,  Arai,  T.,  and  Murakami,  T.,  Crea-ng  Knowledge  Structure  for  Service  Science,  2013,  PICMET Jackson,  Michael  C.,  2003,  Systems  Thinking:  Crea-ve  Holism  for  Managers,  John  Wiley  &  Sons  Ltd.,  UK   Ueda,  K.,  Takenaka,  T.,  Vancza,  J.,  and  Monostori,  L.,  2009,  Value  crea-on  and  decision-­‐making  in  sustainable  society,  CIRP  Annuals,  Manufacturing  Technology  58,  pp.681-­‐700       Jones,  C.,1992,  DESIGN  METHODS,  John  Wiley  &  Sons.   Waseda  University 11
  • 12. Expanded  research  areas     by  service  system  design   Waseda  University 12     Systems with value sharing condition Closed,   Shared   Open,  Shared   Open, Conflicted Scope Micro: People         Meso: Organization         Macro: Social systems             Industrial   products   Service  products   CBM   SQALE
  • 13. Component  Business  Modeling:  CBM   Ref:  hcp://capitalideas.wordpress.com/ibm-­‐cbm/ Waseda  University 13
  • 14. Services  Quality  Analysis  &  Learning  Engine Ref:  hcp://www.research.ibm.com/trl/projects/sse/sqale/index_e.htm Waseda  University 14
  • 15. Expanded  research  areas     by  service  system  design     Systems with value sharing condition Closed,   Shared   Open,  Shared   Open, Conflicted Scope Micro: People     Meso: Organization     Macro: Social systems       Industrial   products Service  products CBM   SQALE Produc-vity   tools Waseda  University 15
  • 16. Produc-vity  tools  and  Metrics Tools  cost  benefits   Analysis  model     based  on  use  cases   Transla-on  -me   Measurement   method   Measurement   method   Time   Acributes   Primi-ve   metrics   Computed     metrics   Document  reviewing  tool   benefits   Ques-onnaire   Transform.   Rate  of   Func-on  usage   Mix  rate   Of  staffing   Measurement   method   Measurement   method   Q&A  support  benefits   Ques-onnaire   Transform.   Com.  Volume   Mix  rate   Of  staffing   Transla-on  assist  tool   benefits   Hours   Improvement   Product.   Improvement   Rate  of   Func-on  usage   Mix  rate   Of  staffing   Translated  words  #  etc.   Counts  of  func-on-­‐usage   Staffing  level   Reviewing  -me   Cri-qued  sentences  #  etc.   Counts  of  func-on-­‐usage   Staffing  level   Ques-onnaire  on  quality   Used  -me   Translated  comm.  volume   Staffing  level   Ques-onnaire  on  usability   Volume   Frequency  of   func-on-­‐usage   Skill  level   Subjec-ve  quality   Measurement   method   Ref:  hcp://www.research.ibm.com/trl/projects/sse/sqale/index_e.htm Waseda  University 16
  • 17. Expanded  research  areas     by  service  system  design     Systems with value sharing condition Closed,   Shared   Open,  Shared   Open, Conflicted Scope Micro: People     Meso: Organization     Macro: Social systems       Industrial   products Service  products CBM   SQALE Produc-vity   tools Innova-on   Jam Waseda  University 17
  • 18. Innova-on  Jam •  Real-­‐-me  discussion   analysis   •  Facilita-on  support Ref:  hcp://www-­‐03.ibm.com/ibm/history/ibm100/us/en/icons/innova-onjam/   “Looking  for  Great  Ideas:  Analyzing  the  Innova-on  Jam”,  Mary  Helander,  Rick  Lawrence,  Yan  Liu,Claudia  Perlich,  Chandan  Reddy,   Saharon  Rosset,  IBM  T.J.  Watson  Research  Center   Waseda  University 18
  • 19. Expanded  research  areas     by  service  system  design     Systems with value sharing condition Closed,   Shared   Open,  Shared   Open, Conflicted Scope Micro: People     Meso: Organization     Macro: Social systems       Industrial   products Service  products CBM   SQALE Produc-vity   tools Innova-on   Jam Value   Pricing Waseda  University 19
  • 20. Value  Pricing   §  Risk Evaluation Price  Model   Metrics  Distribu-on   §  Share-rate Pricing §   comparing  the  value   of  project  with  that  of   the  client-­‐self  case   §  Value Modeling § Monte Carlo-based method § Stochastic prediction Client’s  &  Provider’s   Benefit   Simula-on  using  What-­‐ if  analysis    to  es-mate   the  expected  net  profit   Calculation Module Output Information KPI   Economic  condi-ons   Level  of  Client’s  business  process   KPI   Predictable  factor   KPI  for  improvement  by  BPO   As-­‐Is   To-­‐Be   Input Information •  System theory approach for value-evaluation Waseda  University 20
  • 21. Expanded  research  areas     by  service  system  design     Systems with value sharing condition Closed,   Shared   Open,  Shared   Open, Conflicted Scope Micro: People     Meso: Organization     Macro: Social systems       Industrial   products Service  products CBM   SQALE Produc-vity   tools Innova-on   Jam Value   Pricing Waseda  University 21
  • 22. Basic  service  system  model SP A.Service   Provider B.Service   Receiver C.Service   Set Service  interac-ons Content  (People,  Technology,  Shared  informa-on)   Channel  (a  method  or  system  for  communica-on  or  distribu-on) Context Ref:  Gadrey,  J.,  2002,  The  misuse  of  produc-vity  concepts  in  services:  Lessons  from  a  comparison  between  France  and  the  United  States,  In  J.  Gadrey  and   F.  Gallouj,  Eds.  Produc-vity,  Innova-on  and  Knowledge  in  Services:  New  Economic  and  Socio-­‐Economic  Approaches,  Edward  Elgar  Publisher,  pp.26-­‐53. Maglio,  Paul  P.,  Srinivasan,  S.,  Kreulen,  Jeffrey  T.,  and  Spohrer,  J.,  2006,  Service  systems,  service  scien-sts,  SSME,  and  innova-on,  Communica-ons  of  the   ACM,  Vol  49  Issue  7,  pp.  81-­‐85.     Arai,  T.,  Shimomura,  Y.,  2004,  Proposal  of  Service  CAD  System  -­‐  A  Tool  for  Service  Engineering,  CIRP  Annals,  Vol.  53/1,  PP.397-­‐400. Waseda  University 22
  • 23. SP A.Service   Provider B.Service   Receiver C.Service   Set Service  interac-ons Content  (People,  Technology,  Shared  informa-on)   Channel  (a  method  or  system  for  communica-on  or  distribu-on) Context Service  System  Research  Areas             Receiver activities • Marketing • Behavior science • Kansei eng • Human modeling • Human management Service provider environment • Human resource • Education • Building • IT infrastructure Service value • Value eng • Knowledge eng • Macro/Micro economics Provider activities • Design • System eng • OR/IE • Quality management • Cost management Function realization • robotics • Requirement eng • SW eng, Informatics • Robotics Organization science • Management science • System eng • Social science Provider/Receiver interaction • consensus building • Interaction design • Anthropology • Behavior science • Game theory Service system management • Policy, Social system • Platform Environmental factor • Politics, Society, Economy • Culture, Civilization Waseda University 23   Ref:  hcp://ja.serviceology.org/events/index.html
  • 24. Discussions •  Facilitate service system design applying these common frameworks •  Answering how questions, design methods and tools, are also required •  There are risks to reduce the research scopes by introducing these common frameworks •  Develop design methods and tools for Service system as the next step Waseda University 24