1 / 28 Pierre-Emmanuel ArduinFrom Knowledge Sharing to Collaborative Decision Making

From Knowledge Sharing

to Collaborative Decision Making

Pierre-Emmanuel ArduinMichel GrundsteinCamille Rosenthal-Sabroux

EWG-DSS London24/06/2011

2 / 28 Pierre-Emmanuel ArduinFrom Knowledge Sharing to Collaborative Decision Making

I. Background theory and assumptions

II. Case study

I.a Our vision of Collaborative Decision Making

I.b Our vision of KnowledgeI.c The SECI modelI.d The concept of Ba

II.a Industrial contextII.b ReorganizingII.c Linking with SECI and Ba

3 / 28 Pierre-Emmanuel ArduinFrom Knowledge Sharing to Collaborative Decision Making

Collaborative Decision MakingKnowledge R

etention

4 / 28 Pierre-Emmanuel ArduinFrom Knowledge Sharing to Collaborative Decision Making

Intelligence

Design

Choice

I. Background theory and assumptions II. Case studyCDM | Knowledge | SECI model | Ba Industrial context | Reorganizing | Linking with SECI and Ba

SHAREDKNOWLEDGE

KNOWLEDGE SHAREDKNOWLEDGE

SHAREDKNOWLEDGE

KNOWLEDGE

KNOWLEDGE

5 / 28 Pierre-Emmanuel ArduinFrom Knowledge Sharing to Collaborative Decision Making

KnowledgeKnowledge

S e n s e – g i v i n g S e n s e – r e a d i n g

Information DataKnowledgeKnowledge

Structuring

Externalization Internalization

Interpreting

Based on ’s works, 1993Shigehisa Tsuchiya

I. Background theory and assumptions II. Case studyCDM | Knowledge | SECI model | Ba Industrial context | Reorganizing | Linking with SECI and Ba

6 / 28 Pierre-Emmanuel ArduinFrom Knowledge Sharing to Collaborative Decision Making

Knowledge K’

Knowledge KKnowledge K

S e n s e – r e a d i n g

Information Data

Information DataKnowledge KKnowledge K

Strong commensurabilityLow commensurability

I. Background theory and assumptions II. Case studyCDM | Knowledge | SECI model | Ba Industrial context | Reorganizing | Linking with SECI and Ba

7 / 28 Pierre-Emmanuel ArduinFrom Knowledge Sharing to Collaborative Decision Making

“ we can know more than we can tell ” Michael Polaniy, 1958

I. Background theory and assumptions II. Case studyCDM | Knowledge | SECI model | Ba Industrial context | Reorganizing | Linking with SECI and Ba

8 / 28 Pierre-Emmanuel ArduinFrom Knowledge Sharing to Collaborative Decision Making

tacitto

tacit

explicitto

explicit

tacitto

explicit

explicitto

tacit

Socialization

Externalization

Combination

Internalization

SS

EE

CC

II

Based on Ikujito Nonaka’s and Hirotaka Takeuchi’s works, 1995

I. Background theory and assumptions II. Case studyCDM | Knowledge | SECI model | Ba Industrial context | Reorganizing | Linking with SECI and Ba

9 / 28 Pierre-Emmanuel ArduinFrom Knowledge Sharing to Collaborative Decision Making

tacitto

tacit

explicitto

explicit

tacitto

explicit

explicitto

tacit

Socialization

Externalization

Combination

Internalization

SS

EE

CC

II

BaIkujito Nonaka and

Hirotaka Takeuchi, 1995Ikujito Nonaka and

Noboru Konno, 1998

I. Background theory and assumptions II. Case studyCDM | Knowledge | SECI model | Ba Industrial context | Reorganizing | Linking with SECI and Ba

10 / 28 Pierre-Emmanuel ArduinFrom Knowledge Sharing to Collaborative Decision Making

1985

32,000

I. Background theory and assumptions II. Case studyCDM | Knowledge | SECI model | Ba Industrial context | Reorganizing | Linking with SECI and Ba

11 / 28 Pierre-Emmanuel ArduinFrom Knowledge Sharing to Collaborative Decision Making

Supportexpert

Qualityexpert

Supportsupplier

Qualitysupplier

Support center Quality center

??

???

?

Supportsupplier

??

???

?

I. Background theory and assumptions II. Case studyCDM | Knowledge | SECI model | Ba Industrial context | Reorganizing | Linking with SECI and Ba

12 / 28 Pierre-Emmanuel ArduinFrom Knowledge Sharing to Collaborative Decision Making

Qualityexpert

Qualitysupplier

Quality center

formalized rules

COBOL: Avoid large Programs- too many Lines of Code

COBOL: Avoid Programs withHigh Cyclomatic Complexy

I. Background theory and assumptions II. Case studyCDM | Knowledge | SECI model | Ba Industrial context | Reorganizing | Linking with SECI and Ba

13 / 28 Pierre-Emmanuel ArduinFrom Knowledge Sharing to Collaborative Decision Making

Supportexpert

Supportsupplier

Support center

Incidents’ fileStatistics

Pedagogic tool

Documentary base

I. Background theory and assumptions II. Case studyCDM | Knowledge | SECI model | Ba Industrial context | Reorganizing | Linking with SECI and Ba

14 / 28 Pierre-Emmanuel ArduinFrom Knowledge Sharing to Collaborative Decision Making

Supportexpert

Supportsupplier

Support center

I. Background theory and assumptions II. Case studyCDM | Knowledge | SECI model | Ba Industrial context | Reorganizing | Linking with SECI and Ba

15 / 28 Pierre-Emmanuel ArduinFrom Knowledge Sharing to Collaborative Decision Making

Supportexpert

Supportsupplier

Support center

I. Background theory and assumptions II. Case studyCDM | Knowledge | SECI model | Ba Industrial context | Reorganizing | Linking with SECI and Ba

16 / 28 Pierre-Emmanuel ArduinFrom Knowledge Sharing to Collaborative Decision Making

??

? ??

?

I. Background theory and assumptions II. Case studyCDM | Knowledge | SECI model | Ba Industrial context | Reorganizing | Linking with SECI and Ba

17 / 28 Pierre-Emmanuel ArduinFrom Knowledge Sharing to Collaborative Decision Making

Supportexpert

Qualityexpert

Competence center

Supplier Supplier

I. Background theory and assumptions II. Case studyCDM | Knowledge | SECI model | Ba Industrial context | Reorganizing | Linking with SECI and Ba

18 / 28 Pierre-Emmanuel ArduinFrom Knowledge Sharing to Collaborative Decision Making

▪ ▪ Update the incidents’ file Update the incidents’ file togethertogether

I. Background theory and assumptions II. Case studyCDM | Knowledge | SECI model | Ba Industrial context | Reorganizing | Linking with SECI and Ba

▪▪ Discuss:Discuss:

- The decisions taken to solve them- The decisions taken to solve them

- The incidents- The incidents

▪ ▪ Share KnowledgeShare Knowledge

19 / 28 Pierre-Emmanuel ArduinFrom Knowledge Sharing to Collaborative Decision Making

I. Background theory and assumptions II. Case studyCDM | Knowledge | SECI model | Ba Industrial context | Reorganizing | Linking with SECI and Ba

▪ Decide together:

- What to insert into the incidents’ file

- The best way to solve the discussed incidents

20 / 28 Pierre-Emmanuel ArduinFrom Knowledge Sharing to Collaborative Decision Making

Socialization Combination

Externalization

Internalization

To the new supplier

Incidents’ meetings

Active participation in incidents’ meetings, practice, repetition

Based on Ikujito Nonaka’s and Hirotaka Takeuchi’s works, 1995

I. Background theory and assumptions II. Case studyCDM | Knowledge | SECI model | Ba Industrial context | Reorganizing | Linking with SECI and Ba

21 / 28 Pierre-Emmanuel ArduinFrom Knowledge Sharing to Collaborative Decision Making

Update together

I. Background theory and assumptions II. Case studyCDM | Knowledge | SECI model | Ba Industrial context | Reorganizing | Linking with SECI and Ba

▪ Weekly planned

▪ Small meeting room

▪ 1h30 → 2h

Ba

22 / 28 Pierre-Emmanuel ArduinFrom Knowledge Sharing to Collaborative Decision Making

I. Background theory and assumptions II. Case studyCDM | Knowledge | SECI model | Ba Industrial context | Reorganizing | Linking with SECI and Ba

Decisions:

- Discussed in an incidents’ meetings

- Obtained thanks to the incidents’ file

- Alone elaborated but discussed later in an incidents’ meeting

23 / 28 Pierre-Emmanuel ArduinFrom Knowledge Sharing to Collaborative Decision Making

CDM

Knowledge

The SECI model

The concept of Ba

Industrial context

Divided configuration

Incidents’ file

Reorganizing

Incidents’ meetings

Linking with SECI and Ba

Background theory and assumptions

Case study

24 / 28 Pierre-Emmanuel ArduinFrom Knowledge Sharing to Collaborative Decision Making

Industrial context

Divided configuration

Incidents’ file

Reorganizing

Incidents’ meetings

Linking with SECI and Ba

Thank you for your kind attention

Background theory and assumptions

Case study

CDM

Knowledge

The SECI model

The concept of Ba

Related works ThinksLets

Perspective Measuring commensurability

, CSCW