| In the era of Crowdsourcing Innovation, the service role of information society in streamlining opportunities for construction permitting in intellectual capital transaction, Crowdsourcing Systems (CS) enlist a multitude of humans to help solve a wide variety of problems. Over the past decade, numerous such systems have appeared on the World-Wide Web.Some contents of the research have been argued that service innovations comprise unique attributes which distinguish them from resource collaboration, business operation or value creation, such as their intangible nature, inseparability, and enhanced interactivity between client and website firm (Chapman and Hyland,2003).As is typical business model for an emerging area, this effort has appeared under many names, including peer knowledge service, user-powered systems, user-generated content, collaborative systems, community systems, etc.Consequently, the researches do not restrict the type of collaboration nor the target problem. Rather, it view CS as "a general-purpose problem-solving method", a system is a Crowdsourcing platform if it enlists a crowd of humans to help solve a problem defined by the system owners or solution-wanted clients, and if in doing so, it addresses the following four fundamental challenges:how to recruit and retain users; what can users do; how to combine their inputs; and how to evaluate and select them.(1) Crowdsourcing, mass collaboration and co-creation are becoming increasingly important vehicles for clients looking to engage the voices of consumers with innovation or diffusion of innovation. At home and abroad at last count there were more than100Crowdsourcing platforms available for some kind of design or marketing work. And how to pick the right one is the key problem for clients. There are many factors to consider, from who is in a particular crowd to how talent is paid or how intellectual property is handled. Many times success will come from breaking a project into smaller pieces and tapping different crowds for the various different elements as well as for the platform selected(John Winsor,2009).(2) In the open and collaborative innovation framework of (Chesbrough,2003) This application of our model is the first in what is intended to be a series of empirical applications, The approach has, probably, led to some progress with respect to the mainstream analysis of collaborative innovation. However, in order to delve deeper into the collaborative innovation process, and to capture its complexity, one needs to include other aspects and features in addition to those of individual and organization.Consequently, we do not restrict the type of collaboration nor the target problem. Rather, we view Crowdsourcing System as a general-purpose problem-solving method. As a system that is a Crowdsourcing System if it enlists a crowd of humans to help solve a problem, and if in doing so, it addresses the following fundamental challenges:(3) In the case of an intangible service, the ability to provide a service and its quality depends on "the ability to implement and organise the various competences required which is why, in certain services, the design of organisation systems, and collaborative innovation in that area, is so important". This model takes into account the interactions among human, technology, organizational and value proposition "inputs"; behavior of individuals and groups; and "outcomes" of all partners in Crowdsourcing progress. In a survey of intangible business service, it is found that external sourcing of knowledge, especially from customers and competitors, positively affected both the probability and extent of open innovation, for participants, while in-house innovation intensity had no discernible effect.Crowdsourcing empowers followers which include platform owner and clients. As the RPV (Resource, Process, Value) for Crowdsourcing program continues, we expect that academic probe discovery efforts will have an increasingly high impact in the collaborative innovation of website platform service. |
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