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CrowdSourcing 
Innovation Models & involved Risk 
Crowds Renewing Value Creation
CrowdSourcing 
„People tend not to really look at the risks when making the decision to 
crowdsource or not. Not really know (the risks). 
They just go for it, with the benefits in mind.“
Main Risk Categories 
Complexity of 
relationship 
The increased number of participants and diversity within the crowd can 
increase the probability of risk in managing relationships within the crowd.
Main Risk Categories 
Crowd-Control 
+Effectiveness 
Control is less attractive in crowds. 
Referring to the effectiveness of the control measures, whether centrally located 
or distributed through an intermediary platform.
Main Risk Categories 
Coopetition 
Refers to the effects or impact of co-innovating with competitors within a 
joined crowdsourcing project and a larger mix and diversity of participants.
Main Risk Categories 
Actor/Worker 
interdependence 
Crowdsourcing requires proxy, but not internal control. Risk arises due to the uncertainties that can 
occur while coordinating with contributing actors. In crowdsourcing, the company relies on the 
crowd as a supplier of ideas and solutions. The crowd has less at stake relative to the company.
Main Risk Categories 
Replication of 
business model 
Crowds may gain access to business model data or related 
insights, due to a larger number and diversity of participants.
Main Risk Categories 
Loss of know-how 
When the crowd is integrated in the innovation process, crowd actors may 
acquire some key know-how and use it for their own purpose or even sell it to 
the competition.
Main Risk Categories 
IP risks 
Companies may encounter serious IP risks by assigning 
tasks to an anonymous crowd.
Main Risk Categories 
Loss of certainty in 
results 
The crowd actor has less at stake for not contributing to the innovation process 
and does not feel the responsibility and accountability for solving tasks.
Five categories of risk associated with radical innovation 
Financial risk 
Market risk 
Organizational- and societal risk 
Technological risk 
Turbulence risk
Conceptual Risk Framework
Risk & User Engagement 
Intrinsic motives 
Ideology 
Enjoyment, fun, recreation 
Intellectual challenges, stimulation, interesting objectives 
Learning, improving skills and knowledge exchange
Risk & User Engagement 
Extrinsic motives 
Company recognition 
Reputation, enhancement of professional status 
Sense of efficacy 
User need, influencing the development process 
Rewards
Risk & User Engagement 
Social motives 
Altruism, reciprocity, care for community 
Friendships, “hanging out together” 
Peer recognition
Adaption and Use of CrowdSourcing 
Study 2012-2013 University of Glamorgan
Descriptive statistics on risk levels of Crowdsourcing
Risk Management Measures 
Financial 
Defining quality levels and fixed compensation for these levels 
Entry evaluation of participants 
Task replication 
Ensuring greater participation 
Behavioral screening 
Tracking performance 
Have people to facilitate process
Risk Management Measures 
Organizational/ Societal 
Copyright and service agreements 
Building an “innovation mindset” within the organization 
Voluntarily + mild force following 
the rules and regulations
Risk Management Measures 
Market and Consumer 
Community Building (intrinsic) 
Integration of gamification concepts 
strong tears + leveled communication
Risk Management Measures 
Technological 
Clearly define task 
Use collaborative rather than competitive model 
Automated quality control 
Build community of subject area experts
Risk Management Measures 
Turbulence 
Crowd moderation 
Avoid crowdsourcing for sensitive areas such as HR policy 
Restricting access by type of log-in 
Anonymizing the data 
Drive change for corporate culture and mindset 
to an “innovation mindset” within the organization 
!
Risk Management Measures 
Creative 
Behavioral screening 
Define quality levels and fixed compensation 
Copyright and service agreements 
Break down a big project into very small bits
CrowdSourcing 
Innovation Models & involved Risk 
Crowds Renewing Value Creation 
Dr. Michael Gebert 
Crowd Mentor Network 
! 
#crowdsourcerisk

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Crowdsourcing and Risk Management

  • 1. CrowdSourcing Innovation Models & involved Risk Crowds Renewing Value Creation
  • 2. CrowdSourcing „People tend not to really look at the risks when making the decision to crowdsource or not. Not really know (the risks). They just go for it, with the benefits in mind.“
  • 3. Main Risk Categories Complexity of relationship The increased number of participants and diversity within the crowd can increase the probability of risk in managing relationships within the crowd.
  • 4. Main Risk Categories Crowd-Control +Effectiveness Control is less attractive in crowds. Referring to the effectiveness of the control measures, whether centrally located or distributed through an intermediary platform.
  • 5. Main Risk Categories Coopetition Refers to the effects or impact of co-innovating with competitors within a joined crowdsourcing project and a larger mix and diversity of participants.
  • 6. Main Risk Categories Actor/Worker interdependence Crowdsourcing requires proxy, but not internal control. Risk arises due to the uncertainties that can occur while coordinating with contributing actors. In crowdsourcing, the company relies on the crowd as a supplier of ideas and solutions. The crowd has less at stake relative to the company.
  • 7. Main Risk Categories Replication of business model Crowds may gain access to business model data or related insights, due to a larger number and diversity of participants.
  • 8. Main Risk Categories Loss of know-how When the crowd is integrated in the innovation process, crowd actors may acquire some key know-how and use it for their own purpose or even sell it to the competition.
  • 9. Main Risk Categories IP risks Companies may encounter serious IP risks by assigning tasks to an anonymous crowd.
  • 10. Main Risk Categories Loss of certainty in results The crowd actor has less at stake for not contributing to the innovation process and does not feel the responsibility and accountability for solving tasks.
  • 11. Five categories of risk associated with radical innovation Financial risk Market risk Organizational- and societal risk Technological risk Turbulence risk
  • 13. Risk & User Engagement Intrinsic motives Ideology Enjoyment, fun, recreation Intellectual challenges, stimulation, interesting objectives Learning, improving skills and knowledge exchange
  • 14. Risk & User Engagement Extrinsic motives Company recognition Reputation, enhancement of professional status Sense of efficacy User need, influencing the development process Rewards
  • 15. Risk & User Engagement Social motives Altruism, reciprocity, care for community Friendships, “hanging out together” Peer recognition
  • 16. Adaption and Use of CrowdSourcing Study 2012-2013 University of Glamorgan
  • 17. Descriptive statistics on risk levels of Crowdsourcing
  • 18. Risk Management Measures Financial Defining quality levels and fixed compensation for these levels Entry evaluation of participants Task replication Ensuring greater participation Behavioral screening Tracking performance Have people to facilitate process
  • 19. Risk Management Measures Organizational/ Societal Copyright and service agreements Building an “innovation mindset” within the organization Voluntarily + mild force following the rules and regulations
  • 20. Risk Management Measures Market and Consumer Community Building (intrinsic) Integration of gamification concepts strong tears + leveled communication
  • 21. Risk Management Measures Technological Clearly define task Use collaborative rather than competitive model Automated quality control Build community of subject area experts
  • 22. Risk Management Measures Turbulence Crowd moderation Avoid crowdsourcing for sensitive areas such as HR policy Restricting access by type of log-in Anonymizing the data Drive change for corporate culture and mindset to an “innovation mindset” within the organization !
  • 23. Risk Management Measures Creative Behavioral screening Define quality levels and fixed compensation Copyright and service agreements Break down a big project into very small bits
  • 24. CrowdSourcing Innovation Models & involved Risk Crowds Renewing Value Creation Dr. Michael Gebert Crowd Mentor Network ! #crowdsourcerisk