Successfully reported this slideshow.
We use your LinkedIn profile and activity data to personalize ads and to show you more relevant ads. You can change your ad preferences anytime.
STS DESIGN for COORDINATION
of VIRTUAL (Distributed) Work
STS RT TED Talk on ‘Innovations in Practice’
Boston, MA
October ...
Background:

3
Observations
about the
emerging
work world

 “From Virtual Teams to VIRTUALITY in

TEAMS…where a mix of fa...
1.

Foreground:
Meaning &
Significance
of
Coordination
in
Organization
Design

“Coordination focuses on the activities tha...
Model of Six Stage Continuum of R&D Work
R
1

R
2

D
1

D
2

D
3

Exploratory
Development
Work

Advanced
Development
Work
...
TASK UNCERTAINTY
Continuum for Knowledge Work
‘R1’

‘D4’

DON’T KNOW

DON’T KNOW

KNOW

KNOW

KNOW

KNOW

WHAT

WHAT

WHAT...
COORDINATION
Across the Continuum of Task Uncertainty
R1

D4
Shape and
Reinforce

Drive

Problem Solving

Converge

Convey...
Key Deliberations:
‘Choice Points’ in Knowledge Work processes
 Key Deliberations are patterns

of exchange and communica...
Knowledge Work Barriers:
Examples in our study of Virtual R&D Projects
 Lack of available knowledge


Technical procedur...
Most Significant COORDINATION MECHANISMS to Mitigate Barriers
In Different Types of Virtual (R&D) Work

October 2013
Sociotechnical Systems Framework
For Designing Coordination of Virtual Work
STRATEGIES
(Mission, Collaboration
Agreements)...
STS Design for Coordination of Virtual Work
OPEN DISCUSSION

STSR VOSS TEAM

Supported by NSF-VOSS Award #0943237

11

Oct...
Upcoming SlideShare
Loading in …5
×

TED Talk – Painter – VOSS Team Results

1,171 views

Published on

Practitioner Implications of NSF-VOSS - Comparative Study of Virtual R&D Organizations

Published in: Technology, Education
  • Be the first to comment

  • Be the first to like this

TED Talk – Painter – VOSS Team Results

  1. 1. STS DESIGN for COORDINATION of VIRTUAL (Distributed) Work STS RT TED Talk on ‘Innovations in Practice’ Boston, MA October 2013 PRACTITIONER IMPLICATIONS of NSF-VOSS ‘Comparative Study of Virtual R&D Organizations’ by Doug Austrom, Betty Barrett, Betsy Merck, Bert Painter, Pam Posey, Ram Tenkasi NATIONAL SCIENCE FOUNDATION GRANT VOSS: VIRTUAL ORGANIZATIONS AS SOCIO-TECHNICAL SYSTEMS October 2013
  2. 2. Background: 3 Observations about the emerging work world  “From Virtual Teams to VIRTUALITY in TEAMS…where a mix of face-to-face and technology-mediated interactions are used…and prevalent in modern forms of teamwork.” – Dixon & Panteli, Human Relations, 2010  “In the new order of business…with more and more decentralized decision-making…we need to move from command-and control to Coordinate-and-Cultivate.” – Tom Malone, The Future of Work, 2004  “Coordination is the major challenge of global projects…the fundamental problem is that many of the mechanisms to coordinate work in a co-located setting are absent or disrupted in distributed work” – James Hersleb, Global Software Engineering, 2007 STSR VOSS TEAM Supported by NSF-VOSS Award #0943237 2 October 2013
  3. 3. 1. Foreground: Meaning & Significance of Coordination in Organization Design “Coordination focuses on the activities that need to be done and the relationships and dependencies among them…[so as] to enable a group of people to produce good results.” - Tom Malone, The Future of Work 2. “Choice of best coordination architecture can lead to at least 20% improvement in time/cost performance.” - Moser & Halpin, 2009: Decade-long study of Global Projects 3. “As the amount of task uncertainty increases, (and therefore, information processing increases), the organization must adopt coordination mechanisms which increase its information processing capabilities.” - Jay Galbraith, Organization Design: An Information Processing View STSR VOSS TEAM Supported by NSF-VOSS Award #0943237 3 October 2013
  4. 4. Model of Six Stage Continuum of R&D Work R 1 R 2 D 1 D 2 D 3 Exploratory Development Work Advanced Development Work Start-Up (pilot plants, beta testing) Development Work KNOW KNOW WHAT WHAT Pure Research Work Applied Research Work DON’T KNOW DON’T KNOW WHAT WHAT we are looking for (i.e. end state or objective) DON’T KNOW KNOW DON’T KNOW DON’T KNOW HOW HOW HOW HOW to carry out the research to carry out the research to achieve it IN DETAIL to achieve it KNOW WHAT Supported by NSF-VOSS Award #0943237 Scale-Up (volume & costs) Development Work KNOW WHAT KNOW KNOW HOW HOW OPERATIONALLY CONCEPTUALLY to achieve it to achieve it HIGH Uncertainty STSR VOSS TEAM D 4 LOWER Uncertainty 4 October 2013
  5. 5. TASK UNCERTAINTY Continuum for Knowledge Work ‘R1’ ‘D4’ DON’T KNOW DON’T KNOW KNOW KNOW KNOW KNOW WHAT WHAT WHAT WHAT WHAT WHAT we are looking for (i.e. end state or objective) DON’T KNOW KNOW DON’T KNOW DON’T KNOW KNOW KNOW HOW HOW HOW HOW HOW HOW to carry out the research to carry out the research to achieve it IN DETAIL CONCEPTUALLY OPERATIONALLY to achieve it to achieve it to achieve it HIGH UNCERTAINTY STSR VOSS TEAM Supported by NSF-VOSS Award #0943237 LOWER UNCERTAINTY 5 October 2013
  6. 6. COORDINATION Across the Continuum of Task Uncertainty R1 D4 Shape and Reinforce Drive Problem Solving Converge Convey Mutual Adjustment Standardization Rules Based Peer-to-Peer Hierarchical Exploration Prescriptive Uncertainty Certainty Mystery STSR VOSS TEAM Heuristic Supported by NSF-VOSS Award #0943237 Algorithm 6 October 2013
  7. 7. Key Deliberations: ‘Choice Points’ in Knowledge Work processes  Key Deliberations are patterns of exchange and communication in which people engage to reduce the equivocality (or uncertainty) of a problematic issue  The salient elements of a deliberation include the Topic, Forums, and Participants STSR VOSS TEAM Supported by NSF-VOSS Award #0943237  Examples of Key Deliberations in NSF-VOSS Comparative Study of Virtual R&D projects… • What Experiment(s) to run • How to Design the experiment • What Diagnostic instruments to use • Who will have Access to the data • What software Feature(s) will we develop • What is the Scope and time/cost Estimate of this work October 2013
  8. 8. Knowledge Work Barriers: Examples in our study of Virtual R&D Projects  Lack of available knowledge  Technical procedures in two different laboratories were discovered to be incompatible and initially prevented development of inter-dependent experiments  Lack of common frame of reference  Scientists from different disciplines interpreted the same data very differently or were accustomed to very different research procedures  Failure to share knowledge  Use of standardized data collection was seen by some researchers in different research institutions as an imposition over other data more suited to their own unique research interests  Failure to utilize knowledge  Corporate intelligence about particular vendor competencies was not utilized by an individual division in their vendor selection procedures STSR VOSS TEAM Supported by NSF-VOSS Award #0943237 8 October 2013
  9. 9. Most Significant COORDINATION MECHANISMS to Mitigate Barriers In Different Types of Virtual (R&D) Work October 2013
  10. 10. Sociotechnical Systems Framework For Designing Coordination of Virtual Work STRATEGIES (Mission, Collaboration Agreements) STRUCTURES (Roles, Organization Design) TECHNOLOGY (Collaboration Tools, Media) PEOPLE (Skills, Relationships, Values, Communications) PROCESSES (Standards, Schedules, Plans) STSR VOSS TEAM Supported by NSF-VOSS Award #0943237 10 October 2013
  11. 11. STS Design for Coordination of Virtual Work OPEN DISCUSSION STSR VOSS TEAM Supported by NSF-VOSS Award #0943237 11 October 2013

×