The four pillars of crowdsourcing: A reference model

Hosseini, Mahmood; Phalp, Keith; Taylor, Jacqui; Ali, Raian

doi:10.1109/rcis.2014.6861072

Cited by 133 publications

(110 citation statements)

References 70 publications

(51 reference statements)

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“…Table 1 Selected crowdsourcing projects classified by service and innovation purpose Furthermore, from our review, crowdsourcing and its outcomes vary in terms of who, why, how, and what, thus this paper adopts a simple framework, displayed in figure 1, elaborating on these key components by focusing on crowds, motivation, process design, and outcomes. These categories are developed through reviewing extant frameworks and review articles on crowdsourcing in different fields (e.g., Albors, Ramos, and Hervas 2008; Malone, Laubacher, and Dellarocas 2010;Brabham, 2013;Hosseini et al 2014). This framework provides a structure for exploring the existing research about crowdsourcing across disciplines but is not intended to convey relationships and direction among the categories.…”

Section: What Is Crowdsourcing?mentioning

confidence: 99%

Crowdsourcing Design: A Synthesis of Literatures

Liu

2017

Proceedings of the 50th Hawaii International Conference on System Sciences (2017)

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Section: What Is Crowdsourcing?mentioning

confidence: 99%

Crowdsourcing Design: A Synthesis of Literatures

Liu

2017

Proceedings of the 50th Hawaii International Conference on System Sciences (2017)

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“…The geospatial information added is in the form of longitude and latitude [14]. The purpose of the process is so that the object (media) can be positioned exactly to the coordinates on a map [15].…”

Section: Geotaggingmentioning

confidence: 99%

Designing Module E-Complaint System Based on Geotagging and Geofencing

Basid

Tolle

Ramdani

2017

Int. J. Interact. Mob. Technol.

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Abstract-The government initiative in the implementation of smart city concept is an effort in the management of a city. In the governance of a town, public service is one of the most important aspects. Improving public services requires public role because the society is the direct users of public services. One role of the community in improving public service is to provide information or complaint to the government. However, the media where the public reports such information has yet been optimum. Therefore, the researcher assumed that the public needs certain media as well as some support system where they can make complaints related to public service. The support system is in the form of e-complaint system installed on smartphones equipped with geotagging techniques to determine exactly where the complaint is made (location) and geofencing method to determine which territory the complaint belongs to. In this study, the researcher explained the process of designing module for geotagging and geofencing-based e-complaint system. Several experiments were conducted to find out the accuracy of these techniques. With 94% accuracy, geofencing was a suitable technique to apply. In addition, geotagging techniques using EXIF of a digital image was considered the most suitable technique for the e-complaint system rather than other geotagging techniques.

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“…A study [18] found that there is a deviation in the literature on what should be essential and optional for a crowdsourcing technique. For example, competency of the crowd in doing a task is a core [19] but it is not necessary in other case [20].…”

Section: Crowdsource Reference Modelmentioning

confidence: 99%

“…In this paper, we discussed a crowdsource reference model [18] and analyzed how it is can be utilized for the understanding of mobile app reviews as a crowdsourcing technique. We have discussed each construct of the reference model from the perspective of mobile app reviews and analyzed whether specific features of the crowdsource reference model are applicable in our case or not.…”

Section: Introductionmentioning

confidence: 99%

A Case of Mobile App Reviews as a Crowdsource

Khalid¹,

Shehzaib²,

Asif³

2015

IJIEEB

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Abstract-Crowdsourcing is a famous technique to get innovative ideas and soliciting contribution from a large online community particularly in e-business. This technique is contributing towards changing the current business techniques and practices. It is also equally famous in analysis and design of m-business services. Mobile app stores are providing an opportunity for its users' to participate and contribute in the growth of mobile app market. App reviews given by users usually contain active, heterogeneous and real life user experience of mobile app which can be useful to improve the quality of app. Best to our knowledge, the strength of mobile app reviews as a crowdsource is not fully recognized and understood by the community yet. In this paper, we have analysed a crowdsourcing reference model to find out which features of crowdsource are present and are related to our case of mobile app reviews as a crowdsource. We have analyzed and discussed each construct of the reference model from the perspective of mobile app reviews. Moreover, app reviews as a crowdsourcing technique is discussed by utilizing the four pillars of the reference model: the crowd, the crowdsourcer, the crowdsourcing, and the crowdsourcing platform. We have also identified and partially validated certain constructs of the model and highlighted the significance of app reviews as a crowdsource based on existing literature. In this study, only one crowdsourcing reference model is used which can be a limitation of our study. The study can be further investigated and compared with other crowdsourcing reference models to get better insights of app reviews as a crowdsource. We believe that the understanding of app reviews as a crowdsourcing technique can lead to the further development of the mobile app market and can open further research opportunities.

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The four pillars of crowdsourcing: A reference model

Cited by 133 publications

References 70 publications

Crowdsourcing Design: A Synthesis of Literatures

Crowdsourcing Design: A Synthesis of Literatures

Designing Module E-Complaint System Based on Geotagging and Geofencing

A Case of Mobile App Reviews as a Crowdsource

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