The DOI matches its Crossref record; 13 of the 13 references it cites were found in a registry or an index.
From Space to Place: Predicting Users’ Intentions to Return to Virtual Worlds1
Abstract
Virtual worlds have received considerable attention as platforms for entertainment, education, and commerce. But organizations are experiencing failures in their early attempts to lure customers, employees, or partners into these worlds. Among the more grievous problems is the inability to attract users back into a virtual environment. In this study, we propose and test a model to predict users’ intentions to return to a virtual world. Our model is based on the idea that users intend to return to a virtual world having conceived of it as a “place” in which they have had meaningful experiences. We rely on the interactionist theory of place attachment to explain the links among the constructs of our model. Our model is tested via a lab experiment. We find that users’ intentions to return to a virtual world is determined by a state of deep involvement (termed cognitive absorption) that users experience as they perform an activity and tend to lose track of time. In turn, cognitive absorption is determined by users’ awareness of whom they interact with and how they interact within a virtual world, what they interact about, and where, in a virtual sense, such interaction occurs. Our work contributes to theory in the following ways: it identifies state predictors of cognitive absorption, it conceives of virtual worlds in such a way as to account for users’ experiences through the notion of place, and it explains how the properties of a virtual world contribute to users’ awareness.
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Cites
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Cited by
The Needs–Affordances–Features Perspective for the Use of Social Media1
Karahanna, E., Xu, S. X., Xu, Y., & Zhang, N. (. (2018) · MIS Quarterly · doi:10.25300/misq/2018/11492 · Cited by 518
Why do people buy virtual goods: A meta-analysis
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Mäntymäki, M., & Riemer, K. (2014) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2013.12.010 · Cited by 112
Mobile application user behavior in the developing countries: A survey in Iran
Hajiheydari, N., & Ashkani, M. (2018) · Information Systems · doi:10.1016/j.is.2018.05.004 · Cited by 73
(2015) · International Conference on Information Systems · Cited by 25
Metadata
- Authors
- Goel, L., Johnson, N. A., Junglas, I., & Ives, B.
- Venue
- MIS Quarterly
- Publisher
- MIS Quarterly
- Published
- 2011-09-01
- Volume
- 35
- Issue
- 3
- Pages
- 749-A5
- ISSN
- 0276-7783 (ISSN-L)
- 2162-9730
- OpenAlex
- W1579909607
- Cited by
- 181
- References
- 13
- FWCI
- 27.07
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.