Name
Abstract | ||
|---|---|---|
Over the past few years the crowdsourcing paradigm has evolved from its humble beginnings as isolated purpose-built initiatives,
such as Wikipedia and Elance and Mechanical Turk to a growth industry employing over 2 million knowledge workers, contributing
over half a billion dollars to the digital economy. Web 2.0 provides the technological foundations upon which the crowdsourcing
paradigm evolves and operates, enabling networked experts to work collaboratively to complete a specific task.
Crowdsourcing has a potential to significantly transform the business processes, by incorporating the knowledge and skills
of globally distributed experts to drive business objectives, at shorter cycles and lower cost. Many interesting and successful
examples exist, such as GoldCorp, TopCoder, Threadless, etc. However, to fully adopt this mechanism enterprises, and benefit
from appealing value propositions, in terms of reducing the time-to-value, a set of challenges remain, in order for enterprises
to retain the brand, achieve high quality contributions, and deploy crowdsourcing at the minimum cost.
Enterprise crowdsourcing poses interesting challenges for both academic and industrial research along the social, legal, and
technological dimensions. In this tutorial we present a landscape of existing crowdsourcing applications, targeted to the
enterprise domain. We describe the challenges that researchers and practitioners face when thinking about various aspects
of enterprise crowdsourcing. First, to establish technological foundations, what are the interaction models and protocols
between the Enterprise and the crowd (including different types of crowd, such as internal, external and hybrid models). Secondly,
how is crowdsourcing going to face the challenges in quality assurance, enabling Enterprises to optimally leverage the scalable
workforce. Thirdly, what are the novel (Web) applications enabled by Enterprise crowdsourcing, and how can existing business
processes be transformed for crowd consumption.
|
Year | DOI | Venue |
|---|---|---|
2010 | 10.1007/978-3-642-17358-5_79 | Lecture Notes in Computer Science |
Keywords | Field | DocType |
digital economy,business process,quality assurance | Artifact-centric business process model,Crowdsourcing,Computer science,Digital economy,Knowledge management,Business process modeling | Conference |
Volume | ISSN | Citations |
6470 | 0302-9743 | 0 |
PageRank | References | Authors |
0.34 | 0 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Maja Vukovic | 1 | 378 | 41.62 |
| Claudio Bartolini | 2 | 944 | 86.00 |