the future of work and collaborative innovation networks 1/2/2005 peter gloor [email protected]

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The Future of Work and Collaborative Innovation Networks 1/2/2005 Peter Gloor [email protected]

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Page 1: The Future of Work and Collaborative Innovation Networks 1/2/2005 Peter Gloor pgloor@mit.edu

The Future of Work and

Collaborative Innovation Networks

1/2/2005 Peter Gloor [email protected]

Page 2: The Future of Work and Collaborative Innovation Networks 1/2/2005 Peter Gloor pgloor@mit.edu

NetCreators `

Page 3: The Future of Work and Collaborative Innovation Networks 1/2/2005 Peter Gloor pgloor@mit.edu

Research in Information Worker Productivity (Tom Davenport)

• Telephone interviews with 21 managers of information and knowledge in companies and (2) government agencies

• Web-based survey of 504 US information and technology users, with 439 qualified respondents (weekly users of e-mail at work)

• The average user:– Spent 3 hours and 14 minutes a day using technologies to process work-related

information—just over 40% of an 8-hour work day – Devoted 1.58 hours/day to e-mail (49% of the information processing [IP] time, and

20% of an 8 hour day) – Spent 47 minutes, or 24% of IP time on

telephone and voice mail– Received 44 e-mails daily (4 people

received 500 a day)– Sent 17 e-mails daily– Had more than 3 e-mail accounts– Received 16 instant or text messages a day

(for respondents using this technology)– Received 18 calls, places 15 calls, gets

7.6 voice mail messages– Participated in 2.75 conference calls a week

(if any)

Email45%

IM/Text Messages5%

Voicemail19%

Conference Calls5%

Portal website8%

Shared Networks18%

Page 4: The Future of Work and Collaborative Innovation Networks 1/2/2005 Peter Gloor pgloor@mit.edu

Increase Efficiency and Innovation by 30-200%

TeCFlow Application Areas

Description Result1 Impact

Project Management

$6.5 million e-banking software project

Identification of major project failures

Savings of $1.3 million

Research and Development

$100 million+ e-business practice of a Big 5 consulting firm

Development of revolutionary new consulting offering

New sales of >$15 million

Sales Force Large client account development of a Big 5 management consulting practice

Discovery of unexpected leads and opportunities

Additional proposals for >$ 5.8 million

Re-organization (M&A)

Supply chain re-organization of Fortune 500 manufacturer

Creation of online marketplace

1st year saving > $30 million

1 “Post mortem” Analysis of Knowledge Flow using TeCFlow

Prototype Success Stories

Page 5: The Future of Work and Collaborative Innovation Networks 1/2/2005 Peter Gloor pgloor@mit.edu

TeCFlow/KFO offers Unique Benefits…for the organization

…for the individual

E-mail Find “knowledge experts”, “decision makers” and “innovation communities”

Discover links you were not aware of, people you should knowFilter out “spam”, show communication that matters to you

blog Discover relationships across processes, patterns of networking, monitor evolving relationships

“You are who links to you”Discover who is linked to me, and who is linked to them

Web search

Discover relationships between organizations and their virtual marketplace

Discover evolving relationships between Web sites of interest

BusinessProcess

KnowledgeFlow

OrganizationStructure

Data

Page 6: The Future of Work and Collaborative Innovation Networks 1/2/2005 Peter Gloor pgloor@mit.edu

People for Innovation

personal

community

high

high(m-m)

small(1-1)

COIN Members

Degree ofInteractivity

Degree ofSharing

Degree ofConnectivity

low

(1-m)

Page 7: The Future of Work and Collaborative Innovation Networks 1/2/2005 Peter Gloor pgloor@mit.edu

High-Performing Organizations operate as Collaborative Knowledge Networks

COINCollaborative

Innovation Network

Linux Creators

+

+

CINCollaborative Interest Network

Linux Users

Example:

CLNCollaborative Learning Network

Linux Maintainers

Page 8: The Future of Work and Collaborative Innovation Networks 1/2/2005 Peter Gloor pgloor@mit.edu

Shared InterestShared KnowledgeShared Vision+ +CollaborateCollaborate

COINCOIN

CLNCLNCINCIN

CLNCLN

CINCIN

COINCOIN

CLNCLN

COINCOIN CINCIN

COINCOIN

InnovateInnovate CommunicateCommunicate

The Helix of Open Innovation

Page 9: The Future of Work and Collaborative Innovation Networks 1/2/2005 Peter Gloor pgloor@mit.edu

COINCollaborative

Innovation Network

CLNCollaborative

Learning Network

CINCollaborative

Interest Network

Page 10: The Future of Work and Collaborative Innovation Networks 1/2/2005 Peter Gloor pgloor@mit.edu

Macro- & Micro AnalysisMacro: Group-level:

Core team

InnovatorGuru

provides the overall vision and

guidance“Salesman”

KnowledgeExpert

serves as the ultimate source of explicit

knowledge “Maven”

CollaboratorExpediter

coordinates and organizes tasks

CommunicatorAmbassador

links to external networks

“Connector” “Gatekeeper”Sender (+1)

Contributionindex

Contribution frequency

Receiver (-1)

Micro: Individual

Page 11: The Future of Work and Collaborative Innovation Networks 1/2/2005 Peter Gloor pgloor@mit.edu

TeCFlow analyzes e-mail patterns by creating movie maps

Movie Maps illuminate evolving business

relationships

individual activitiesin context

peaks in team activity

Page 12: The Future of Work and Collaborative Innovation Networks 1/2/2005 Peter Gloor pgloor@mit.edu

From:To:Title:Timestamp:Contents...e-Mail archives:

BlogsWeb SitesFiles

parsing

database (mySQL)

Structural queries

TeCFlow - Communications Cockpit

Page 13: The Future of Work and Collaborative Innovation Networks 1/2/2005 Peter Gloor pgloor@mit.edu

Webinar, 152 individuals, 606 messages

development of content

development of content

presentation/broadcast of content

presentation/broadcast of content

Page 14: The Future of Work and Collaborative Innovation Networks 1/2/2005 Peter Gloor pgloor@mit.edu

TeCFlow Analysis: Innovation

practice leaderCOIN leader

practice coordinator

Page 15: The Future of Work and Collaborative Innovation Networks 1/2/2005 Peter Gloor pgloor@mit.edu

1.VisualizeKnowledge Flow

2.Find CKNs

3.Redesign & Optimize

4.Monitor

personal

community

high

high(m-m)

small(1-1)

COINMembers

Degree ofInteractivity

Degree ofSharing

Degree ofConnectivity

low

(1-m)

CINCollaborative Interest Network

CLNCollaborative Learning Network

COINCollaborative

Innovation Network

creativeintelligence

swarmintelligence

transparency

consistency

code ofethics

ethicalconscience

knowledgesharing

trustrelationship

team

individual

innovation collaboration communication

organizationmeritocracy

Knowledge Flow Optimization(KFO)

Page 16: The Future of Work and Collaborative Innovation Networks 1/2/2005 Peter Gloor pgloor@mit.edu

Redesign & Optimize(1) Establish Swarm Intelligence – Give up central

control!(2) Fill the critical roles of innovator, communicator,

and collaborator!(3) Establish distributed trust!(4) Establish a common code of ethics!(5) Establish a small world structure of high

connectivity, interactivity, and knowledge sharing!(6) Set up a Collaborative Web Workplace!(7) Know when to change the organizational

structure!

Page 17: The Future of Work and Collaborative Innovation Networks 1/2/2005 Peter Gloor pgloor@mit.edu

KFO Application Areas• Research and Development/New Product

Development– Spot innovations

• Sales Force– Communication sales rep - customer

• Project Management– Knowledge flow in project

• Mergers & acquisitions– Link hubs of trust

Page 18: The Future of Work and Collaborative Innovation Networks 1/2/2005 Peter Gloor pgloor@mit.edu

Privacy is a primary concern

• Buy-in of study population crucial• Data collected will be handled in such a way that the

identity of individuals is protected– Replace names by identifiers – Results only reported in anonymous form

• Proper measures to safeguard data– Only anonymized data goes outside of company– Content is encrypted

• Open & honest communication with users– Share results with study population

Page 19: The Future of Work and Collaborative Innovation Networks 1/2/2005 Peter Gloor pgloor@mit.edu

Swarm Creativity

Competitive Advantages through Collaborative Innovation Networks

©1/28/2004 Peter A. Gloor [email protected], http://www.ickn.org/book/COINs.html

Page 20: The Future of Work and Collaborative Innovation Networks 1/2/2005 Peter Gloor pgloor@mit.edu

1. COIN Benefits 2

2. Swarm Creativity 2

3. DNA of COINs 4

4. Ethical Codes in Small Worlds 5

5. Real Life Examples 6

6. Communication Technologies for COINs 6

7. Collaborative Knowledge Networks (CKN) 8

8. Temporal Communication Flow Analysis (TeCFlow)

9

9. Knowledge Flow Optimization (KFO) 10

Contents

Page 21: The Future of Work and Collaborative Innovation Networks 1/2/2005 Peter Gloor pgloor@mit.edu

2 Distinguished Speakers

• Tom Malone: The Future of Work

• Tom Allen: Design for Interaction

• Guest Speakers:– Christoph Von Arb, Pascal Marmier,

SHARE– Stefano Mazzocchi, Apache– Bill Ives, My Blog– Adriaan Jooste, Deloitte– Robert Whyte, World Bank

Page 22: The Future of Work and Collaborative Innovation Networks 1/2/2005 Peter Gloor pgloor@mit.edu

TeCFlow/KFO Analysis of

• SHARE

• IBM Research Cambridge

• D-Telekom

• Questico

• Materna