Crowdsourcing Innovation (Open Innovation) and Risk Management by Lieda Amaral

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Tags: crowdsourcing, crowdsourcing innovation, open innovation, risk management, gestão de riscos, SME innovation, PME inovação, knowledge management, lieda amaral de souza

 Innovating for live and learning for survive
"quem confia em Deus não teme o mal"
Lieda Amaral de Souza
 
 
 
 
 
 

Thesis Proposal

by Lieda Amaral de Souza

"Managing Risks of Crowdsourcing Innovation : a Methodology”

Our research appears to a qualitative approach, aimed at deepening scientific knowledge of managing the risks associated with crowdsourcing innovation and at providing a methodological tool to manage risks in innovation brokering services specialized in the innovation needs of technology SMEs based firms.

 

The term crowdsourcing was introduced by Jeff Howe and Mark Robinson in June 2006 issue of Wired magazine (Howe, 2006) , it describes a new web-based business model that harnesses the creative solutions of a distributed network of individuals  through what amounts to an open call for proposals.
 
In other words, a company posts a problem by an open call and a vast number of individuals offer solutions to the problem. The winning ideas are awarded some form of a bounty and the company mass produces the idea for its own gain. This strategy can be applied in two ways: 

(1) by internally identifying business problems and needs for innovation felt by individuals, teams and organizational units (seekers) that are then made available to a community of internal and external specialists motivated to provide their knowledge and skills to address those problems. In doing so brings, employees of the company can improve their internal visibility and be empowered in decision processes across the company;

(2) by placing the company´s innovation chalenges to a brokering service that can find the right people to present the solutions (solvers).
 
The goal of the research and the final thesis is to answer the key question of ““How to manage risks of crowdsourcing innovation in technology-based firms?”
 
The research question will concentrate on each of the following items:

 

  • What are the risks associated with crowdsourcing innovation brokering, both internal to an organization or externally available by brokering businesses?

 

  • What should be risk management model for crowdsourcing  innovation?

 

  • What kind of information system should be defined to effectively support the management of risks associated with crowdsourcing innovation?
SCOPE OF THE STUDY:
 
The research is focused on producing a methodology to manage risks associated with crowdsourcing innovation, delivered by internal or external brokers, and on defining the functional and informational requirements of an information system to support risk management to empower managers preventing and / or mitigating the materialization of risks in   innovation brokering services specialized in the innovation needs of technology based firms.
    keywords: open innovation, crowdsourcing, crowdsourcing innovation brokering, risk management, business model
 
My Thesis Advisers
 

Prof. PhD Isabel Ramos - UMINHO - Guimaraes - Portugal

 


 

Prof.PhD José Esteves - IE Business School - Madrid - ES  

 

 

     

  

  
 
 

 

 
 
 
 
Thank you for visiting my website! I am  Lieda Amaral de Souza (link cv-lattes) , a brazilian student at a Technology and Information Systems Doctoral Program in the University of Minho, Portugal. I´m  a master´s degree in Production Engineering by Federal University from Rio Grande do Norte - Brazil and Pos Graduated in Management Accounting at FGV. My current field of research and interest is focused on open innovation (crowdsourcing innovation model) and risk management in technology-based firms or in brokering services specialized in the innovation needs of SMEs  and I was at the programm comitee of the CreativeSME Conference - The role of IS in leveragiing the intelligence and creativity of SME´s - IFIP Work Group 8.2.
In my PhD research I work in the R&D Center ALGORITIMI and at the research program KMOWL-Knowledge Management in Organization for Work Leveraging.  KMOWL is a Special Interest Group in Knowledge Management that carries out interdisciplinary Research and Development projects as well as Education projects, with the aim of developing systematic and comprehensive approaches to the organizational process of knowledge management. These approaches are to built upon the theoretical and methodological tools developed in scientific fields such as sociology, psychology, management, cognitive scieces, neuroscience and information systems. Too see more about KMOWL research progam 2008/2013, please click here.
Lieda Amaral
 
 
 
Obrigada por visitar minha página na web! Eu sou Lieda Amaral de Souza  , uma estudante brasileira no Programa de Doutoramento em Tecnologia e Sistemas de Informação da Universidade do Minho, Portugal. Eu sou mestre em Engenharia da Produção pela Universidade Federal do Rio Grande do Norte - Brasil e pós graduada em Contabilidade Gerencial pela Fundação Getúlio Vargas -FGV-RJ. Minha atual área de interesse em investigação é focada em inovação aberta (crowdsourcing ) e gestão de riscos em empresas de base tecnológica ou brokerings services (serviços de mediação/corretagem) especializados em atender as necessidades de inovação das pequenas e médias empresas - PMEs.  

Pertenço ao 
Centro de Investigação e Desenvolvimento ALGORITIMI e faço parte do programa de investigação KMOWL-Knowledge Management in Organization for Work Leveraging.

KMOWL é um Grupo de investigação em Gestão do Conhecimento que trabalha em projetos de pesquisa e desenvolvimento interdisciplinares e também em projetos educacionais, com o objetivo de desenvolver abordagens para melhor compreensão e sistematização dos processos organizacionais da gestão do conhecimento.
 
 Estas abordagens são construídas a partir de instrumentos teóricos e metodológicos desenvolvidos em diversos campos científicos, tais como sociologia, psicologia, gestão, ciências cognitivas, neurociências e sistemas de informação.  Conheça um pouco mais sobre o programa de investigação do KMOWL 2008/2013,  acessando este link.

Minha orientadora de tese é  a Prof. PhD Isabel Ramos da Universidade do Minho e o co-orientador é o Prof. PhD  José Esteves do IE Business School.

Minha Questão de Investigação:

Como gerir os riscos do crowdsourcing innovation?

Para responder a essa questão precisamos identificar qual o modelo de gestão de riscos melhor se adequa ao modelo de crowdsourcing. Identificar quais fatores de riscos devem ser considerados, quais estilos de gestão devem ser adotados e qual o tipo de arquitetura tecnológica é mais apropriada para implementar uma metodologia de gestão de riscos associada ao crowdsourcing innovation.
Lieda Amaral

Mas afinal, o que é crowdsourcing innovation? 

 

Crowdsourcing

O crowdsourcing é uma das estratégias utilizadas pelas organizações para fazer inovação aberta. E pode ajudar administrações públicas e privadas em seu processo de inovação.

O termo crowdsourcing foi atribuído pela primeira vez por Jeff Howe e Mark Robinson, em Junho de 2006 na revista Wired (Howe, 2006)- No artigo os  autores descrevem um novo modelo de negócio baseado na web que explora as soluções criativas de uma rede distribuída de indivíduos através daquilo que equivale a um convite aberto a colaboradores para contribuir com um projeto da empresa. O modelo de negócio pode ser remunerado ou voluntário, e é especialmente adequado para tarefas de tecnologia de informação e produção de conteúdo, onde grandes tarefas podem ser divididas em pequenas ações desenvolvidas por indivíduos à distância.



An  interview with Tom Davenport, Professor of Information Technology and Management, Babson College. "Innovate like Google"

Tom Davenport, by Harvard Business Publishing


Open Innovation
 

The open innovation term was coined by Henry Chesbrough (Chesbrough, 2003), which brings a reflection on experiences of some companies in testing new approaches to achieve greater agility in the generation of technological innovation. Chesbrough's analyses of these experiences lead him to propose a new strategy for generation of innovation, the open innovation strategy. In times of crisis, innovation may be the only way for small and medium businesses keeping in the market, increasing their profitability and ensuring their sustainability. Therefore, the strategy of open innovation seems to emerge as a viable alternative for successfully adapting to changing socio-economic conditions, but there are risks to be avoid. Innovation is a multi-faceted concept that is recent being described as the quest for find new ways of doing things. Some studies have focused on the human side of innovation performance and the variables that drive or inhibit innovative team results (Thamhain, H.J (2003) Managing innovative R&D teams. R&D Management 33(3), 297-311). Other studies examine innovation performance as a function of the company policy. There are several ways to do open innovation, one of them is crowdsourcing.





CALL FOR CHAPTERS New!!!!
Proposals Submission Deadline: 4/30/2010
A book edited by Dr. Hakikur Rahman and Dr. Isabel Ramos, University of Minho, Portugal

see more

Important Dates:
April 30, 2010: Proposal Submission Deadline - expired
May 15, 2010: Notification of Acceptance
August 30, 2010: Full Chapter Submission
September 30, 2010: Review Result Returned
November 30, 2010: Final Chapter Submission




Risk Management

Risk and uncertainty are inherent in innovation activities where objectives are path generation, i.e. breaking away from path dependencies to create new markets with pioneering technologies (Ahuja & Lampert, 2001). Risk is the chance of something happening that will have an impact on objectives [AS/NZ 4360/1999:2004]. The risk management process includes the stages of defining management policies, procedures, monitoring practices of the risk life-cycle and of the tasks required to mitigate the risk. The monitoring of the risk’s life-cycle includes establishing the context, identifying, analyzing, evaluating, treating, monitoring and reviewing the risk. Risk may have a positive or a negative impact.

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