Detecting Crowdsourcing Impasses
The adoption of crowdsourcing systems to support successful and effective collaboration among actors to perform a variety of tasks continues to grow. The success of such systems relies on actor willingness to contribute to task achievement in pursuit of a collective goal. This willingness may be neg...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2021-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9448138/ |
| _version_ | 1818661739543134208 |
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| author | Renuka Sindhgatta Reihaneh Bidar Arthur H. M. Ter Hofstede |
| author_facet | Renuka Sindhgatta Reihaneh Bidar Arthur H. M. Ter Hofstede |
| author_sort | Renuka Sindhgatta |
| collection | DOAJ |
| description | The adoption of crowdsourcing systems to support successful and effective collaboration among actors to perform a variety of tasks continues to grow. The success of such systems relies on actor willingness to contribute to task achievement in pursuit of a collective goal. This willingness may be negatively affected under certain circumstances. One area where this is the case is work progressing insufficiently or even grinding down to a halt. Such situations can be referred to as impasses and this has been captured more formally in the form of the Stasis pattern in previous work. In this paper, we first investigate the various forms stasis can take, next we characterize these forms in the form of a classification problem, and finally, detect their presence and predict the likelihood of their future occurrence in a practical setting. The latter is achieved through an exploratory case study involving computational analyses of development activities within an open-source crowd-sourced software platform (GitHub). Our findings contribute towards a rich understanding of stasis in crowdsourcing systems and how its various forms can be detected early (and thus mitigated) or even prevented altogether. As such, this work helps improve the chances of successful collaboration through the use of these systems. |
| first_indexed | 2024-12-17T04:49:51Z |
| format | Article |
| id | doaj.art-43994afa5214446f87b90b20b6d2bf69 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-17T04:49:51Z |
| publishDate | 2021-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-43994afa5214446f87b90b20b6d2bf692022-12-21T22:02:56ZengIEEEIEEE Access2169-35362021-01-019836428365310.1109/ACCESS.2021.30871729448138Detecting Crowdsourcing ImpassesRenuka Sindhgatta0https://orcid.org/0000-0001-7533-533XReihaneh Bidar1https://orcid.org/0000-0003-3028-3083Arthur H. M. Ter Hofstede2https://orcid.org/0000-0002-2730-0201School of Information Systems, Science Faculty, Queensland University of Technology, Brisbane, QLD, AustraliaSchool of Information Systems, Science Faculty, Queensland University of Technology, Brisbane, QLD, AustraliaSchool of Information Systems, Science Faculty, Queensland University of Technology, Brisbane, QLD, AustraliaThe adoption of crowdsourcing systems to support successful and effective collaboration among actors to perform a variety of tasks continues to grow. The success of such systems relies on actor willingness to contribute to task achievement in pursuit of a collective goal. This willingness may be negatively affected under certain circumstances. One area where this is the case is work progressing insufficiently or even grinding down to a halt. Such situations can be referred to as impasses and this has been captured more formally in the form of the Stasis pattern in previous work. In this paper, we first investigate the various forms stasis can take, next we characterize these forms in the form of a classification problem, and finally, detect their presence and predict the likelihood of their future occurrence in a practical setting. The latter is achieved through an exploratory case study involving computational analyses of development activities within an open-source crowd-sourced software platform (GitHub). Our findings contribute towards a rich understanding of stasis in crowdsourcing systems and how its various forms can be detected early (and thus mitigated) or even prevented altogether. As such, this work helps improve the chances of successful collaboration through the use of these systems.https://ieeexplore.ieee.org/document/9448138/Co-destructioncrowdsourcingstasisdetectionprediction |
| spellingShingle | Renuka Sindhgatta Reihaneh Bidar Arthur H. M. Ter Hofstede Detecting Crowdsourcing Impasses IEEE Access Co-destruction crowdsourcing stasis detection prediction |
| title | Detecting Crowdsourcing Impasses |
| title_full | Detecting Crowdsourcing Impasses |
| title_fullStr | Detecting Crowdsourcing Impasses |
| title_full_unstemmed | Detecting Crowdsourcing Impasses |
| title_short | Detecting Crowdsourcing Impasses |
| title_sort | detecting crowdsourcing impasses |
| topic | Co-destruction crowdsourcing stasis detection prediction |
| url | https://ieeexplore.ieee.org/document/9448138/ |
| work_keys_str_mv | AT renukasindhgatta detectingcrowdsourcingimpasses AT reihanehbidar detectingcrowdsourcingimpasses AT arthurhmterhofstede detectingcrowdsourcingimpasses |