New marketing frontiers: crowdsourcing. Theoretical hints and empirical evidences
Explore this paper's citation graph
- Type
- article
- Published
- 2013-10-23
- Cited by
- 1
- References
- 53
- Access
- Open access
- OpenAlex
- https://openalex.org/W42740633
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:107417845
Keywords
Crowdsourcing, Data science, Marketing, Business, Computer science
References
- Crowdsourcing based business models: In search of evidence for innovation 2.0
- Essential guide to qualitative methods in organizational research
- Service Provision Calls for Partners Instead of Parties
- The Future of Competition: Co-Creating Unique Value with Customers
- Strategy and the new economics of information.
- Market systems, stakeholders and value propositions
- How to invent a new business model based on crowdsourcing: The crowdspirit ® case
- Social Ties and Word-of-Mouth Referral Behavior
- Reconfiguration of the conceptual landscape: a tribute to the service logic of Richard Normann
- The role of balanced centricity in the Spanish creative industries adopting a crowd-funding organisational model
- To blog or not to blog
- Service innovation and electronic word‐of‐mouth: is it worth listening to?
- Beyond virtuality: from engagement platforms to engagement ecosystems
- A customer‐dominant logic of service
- Content analysis of corporate blogs as a relationship management tool
- B2B is Not an Island
- Managing the co-creation of value
- The theory of the growth of the firm twenty-five years after
- Toward a transcending conceptualization of relationship: a service‐dominant logic perspective
- Reconfiguring the sociology of the crowd: exploring crowdsourcing
Cited by
Related papers
- Obstacles of Mobile Crowdsourcing: A Survey
- Application of Crowdsourcing to the Design of Behavior Change Technologies
- Library Co-creation via Crowdsourcing
- Crowdsourcing as a Tool for Knowledge Acquisition in Spatial Planning
- Marketing Strategies of Travel and Tourism Industry
- An In-Depth Thematic Analysis of Customer Driven Factors Influencing the Purchase Decisions of Guests in Four and Five Star Hotels in Kenya