Emerging Collective Intelligence Business Models
نویسندگان
چکیده
This paper essays an approach to the emergence of new business models based in collective intelligence through the inclusion of crowdsourcing in business processes. To contextualize this phenomenon, we present a brief sate of art, highlighting some key terms fundamental to understand collective intelligence and its impact in the business environment and on how organizations are changing the way they perform and produce products and services. First we approach Web 2.0 and the difficulties of a scientific definition for this expression. Then we have a look into crowdsourcing boost, consequence of the new possibilities opened by Web 2.0 applications and enabled by technology evolution. Regarding Collective intelligence we give particular attention to Malone's Collective Intelligence genoma, due to the possibilities of understanding Collective Intelligence phenomenon brought by this framework into organization's business models. Then we focus on business models, particularly in the importance of new web 2.0 crowdsourcing based ones in creating value, particularly in the new trend of business processes experimentation supported by collective intelligence activities. We present collective intelligence as having the potential to generate new business models and will present examples of well-succeeded cases. Finally, we present some examples of Portuguese collective intelligence business models and derive some conclusions regarding future research challenges.
منابع مشابه
Modeling Rewards and Incentive Mechanisms for Social BPM
Social computing is actively shaping Internet-based business models. Scalability and effectiveness of collective intelligence are becoming increasingly attractive to investors. However, to fully exploit this potential we still have to develop crowd-management frameworks capable of supporting rich collaboration models, smart task division and virtual careers. An important step in this direction ...
متن کاملOvercoming blockages to Collective Innovation in Digital Infrastructures: the Case of Mobile Payment
Decentralized digital technologies increasingly enable multiple organizations to co-create digital infrastructures. However, collective innovation processes often come to a stand-still because of conflicting interests and business models. While existing research suggests various factors that block collective innovation processes, there is still little understanding of how organizations can over...
متن کاملDesigning and Developing a Business Continuity Plan Based on Collective Intelligence
This paper proposes a methodological approach that supports Collective Intelligence towards the design and development of a Business Continuity Plan (BCP), in order to minimize the potential of a disaster in the organization. In this framework, Collective Intelligence (CI) is supported by Web2.0 technologies that act as a diagnostic tool, providing the ability to the community of an organizatio...
متن کاملResearch on Mechanism of Industrial Cluster Innovation: A view of Co-Governance
Since 1990s, there has been a growing concern about the role of industry cluster in stimulating a regional and in turn a national competiveness. Especially in the context of emerging technologies and related knowledge-economy business models, linking stakeholders in dynamic clusters is believed to enhance competition and regional innovation (OECD, 1999). Whilst industry cluster contains a huge ...
متن کاملEmerging Business Intelligence Technologies for SMEs
Small and Medium-Sized Enterprises (SMEs) are socially and economically important, since they represent 98% of all enterprises, providing around 90 million jobs in the European Union, and contribute to entrepreneurship and innovation. However, SMEs face particular difficulties in order to be competitive in a global world. In recent time, technology applications in different fields, especially B...
متن کامل