Chapter 5 Conclusions
5.3 Limitations and Future Research
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across academia and industries. First, we distinguished the four major types of crowdsourcing platforms on the basis of what is exchanged on the platform. The four types are Information (i.e. information and knowledge sharing and exchange), Labor (i.e. workforce marketplace and working place improvement), OplusO (i.e. effective utilization of resources from online to offline), and Creation (i.e. creation and participation).
Secondly, we formulated a completed view of why and what drives providers and requestors to provide or request products or services while delivering and capturing values on a crowdsourcing platform. In general, practical (alternative) solution, reputation, and monetary are participants’ main extrinsic motivations, whereas autonomy, safety, and trust are their intrinsic motivations among different types of platform. Providers are motivated more by intrinsic motivations than requestors, whereas requestors are encouraged more by extrinsic motivations than providers.
Finally, this study is the first of its kind to explore how a successful crowdsourcing platform operates to encourage a virtuous cycle, focusing on. With validation through expert interviews, the provided conceptual framework of CFs in developing a virtuous cycle in crowdsourcing platforms not only provides us with a broader view of
crowdsourcing and platform management but also provides companies with more realistic decision-making references. Platform managers should pay attention to the scalability of crowdsourcing platforms along with the assistance of the technology, strategy, and operation dimensions during constructing of the ecosystem that will lead to a good transaction environment.
5.3 Limitations and Future Research
Even though we made every effort to design and implement this research effectively, there are still some limitations. First, a crowdsourcing platform is a novel business model, which means that there is not an abundance of official and reliable data. This
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to provider or request products or services. Additional research is necessary to focus on motivation study in crowdsourcing contexts if future studies seek to extend our results to exhibit more comprehensive view of why the crowds are willing to come to platforms to deliver and capture values.
In the second place, regarding that crowdsourcing has been progressing and has been differentially implemented for various applications, we cannot make certain sure that there are always four types of crowdsourcing platforms in the relevant contexts.
However, based on what is exchanged thus far, categorizing crowdsourcing platforms is valid because people usually trade on crowdsourcing platforms. Thus, there will be new things that can be exchanged on crowdsourcing platforms in the future.
Thirdly, due to time limitations, this study focused on only the Labor crowdsourcing platform, one of the four crowdsourcing platform models. We did not verify all the results regarding all types of crowdsourcing platforms. Therefore, the results of this research should be interpreted as explaining only Labor crowdsourcing platforms. The study will be more reliable when validation for other types of crowdsourcing platform is completed.
At last, in this research, the sample of the interviewed companies was chosen in Taiwan, and the circumstances may be different in different countries under different legislative frameworks. Thus, the results of the research may be applicable only in Taiwan. In addition, without enough research time, we conducted expert interviews only with four experts and most of them involved fewer than five experiences in crowdsourcing contexts. We suggest that future research should (1) conduct
interviews with more companies in different countries and (2) interview more senior experts to have a more comprehensive and reliable results.
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