TY - JOUR
T1 - The sharing economy in computing
T2 - A systematic literature review
AU - Dillahunt, Tawanna R.
AU - Wang, Xinyi
AU - Wheeler, Earnest
AU - Cheng, Hao Fei
AU - Hecht, Brent
AU - Zhu, Haiyi
N1 - Publisher Copyright:
© 2017 Association for Computing Machinery.
PY - 2017/11
Y1 - 2017/11
N2 - The sharing economy has quickly become a very prominent subject of research in the broader computing literature and the in human-computer interaction (HCI) literature more specifically. When other computing research areas have experienced similarly rapid growth (e.g., human computation, eco-feedback technology), early stage literature reviews have proved useful and influential by identifying trends and gaps in the literature of interest and by providing key directions for short- and long-term future work. In this paper, we seek to provide the same benefits with respect to computing research on the sharing economy. Specifically, following the suggested approach of prior computing literature reviews, we conducted a systematic review of sharing economy articles published in the Association for Computing Machinery Digital Library to investigate the state of sharing economy research in computing. We performed this review with two simultaneous foci: a broad focus toward the computing literature more generally and a narrow focus specifically on HCI literature. We collected a total of 112 sharing economy articles published between 2008 and 2017 and through our analysis of these papers, we make two core contributions: (1) an understanding of the computing community's contributions to our knowledge about the sharing economy, and specifically the role of the HCI community in these contributions (i.e., what has been done) and (2) a discussion of under-explored and unexplored aspects of the sharing economy that can serve as a partial research agenda moving forward (i.e. what is next to do).
AB - The sharing economy has quickly become a very prominent subject of research in the broader computing literature and the in human-computer interaction (HCI) literature more specifically. When other computing research areas have experienced similarly rapid growth (e.g., human computation, eco-feedback technology), early stage literature reviews have proved useful and influential by identifying trends and gaps in the literature of interest and by providing key directions for short- and long-term future work. In this paper, we seek to provide the same benefits with respect to computing research on the sharing economy. Specifically, following the suggested approach of prior computing literature reviews, we conducted a systematic review of sharing economy articles published in the Association for Computing Machinery Digital Library to investigate the state of sharing economy research in computing. We performed this review with two simultaneous foci: a broad focus toward the computing literature more generally and a narrow focus specifically on HCI literature. We collected a total of 112 sharing economy articles published between 2008 and 2017 and through our analysis of these papers, we make two core contributions: (1) an understanding of the computing community's contributions to our knowledge about the sharing economy, and specifically the role of the HCI community in these contributions (i.e., what has been done) and (2) a discussion of under-explored and unexplored aspects of the sharing economy that can serve as a partial research agenda moving forward (i.e. what is next to do).
KW - Collaborative consumption
KW - Collaborative economy
KW - Gig economy
KW - Literature review
KW - Physical crowdsourcing
KW - Sharing economy
KW - Taxonomy
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U2 - 10.1145/3134673
DO - 10.1145/3134673
M3 - Article
AN - SCOPUS:85053152352
SN - 2573-0142
VL - 1
JO - Proceedings of the ACM on Human-Computer Interaction
JF - Proceedings of the ACM on Human-Computer Interaction
IS - CSCW
M1 - 38
ER -