The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Research Commentary: The Next Wave of Nomadic Computing
Abstract
A nomadic information environment is a heterogeneous assemblage of interconnected technological, and social, and organizational elements that enable the physical and social mobility of computing and communication services between organizational actors both within and across organizational borders. We analyze such environments based on their prevalent features of mobility, digital convergence, and mass scale, along with their mutual interdependencies. By using a framework that organizes research topics in nomadic information environments at the individual, team, organizational, and inter organizational levels and is comprised of both service and infrastructure development, we assess the opportunities and challenges for IS research. These deal with the design, use, adoption, and impacts of nomadic information environments. We conclude by discussing research challenges posed by nomadic information environments for information systems research skills and methods. These deal with the need to invent novel research methods and shift our research focus, the necessity to question the divide between the technical and the social, and the need to better integrate developmental and behavioral (empirical) research modes.
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Cites
Understanding information technology usage: a test of competing models
Taylor, S., & Todd, P. A. (1995) · Information Systems Research · doi:10.1287/isre.6.2.144 · Cited by 8,815
Transactive Memory: A Contemporary Analysis of the Group Mind
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The Assimilation of Software Process Innovations: An Organizational Learning Perspective
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Socially Shared Cognition at Work: Transactive Memory and Group Performance
Moreland, R. L., Argote, L., & Krishnan, R. (1996) · What's Social about Social Cognition? Research on Socially Shared Cognition in Small Groups · doi:10.4135/9781483327648.n3 · Cited by 456 · cited 1×
“Recently, the concept of transactive memory—metaknowledge about other team members’ expertise—has emerged as a framework to be used in understanding knowledge sharing (Moreland et al. 1996, Wegner 1987).”
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Cited by
Yoo, Y., Henfridsson, O., & Lyytinen, K. (2010) · Information Systems Research · doi:10.1287/isre.1100.0322 · Cited by 2,964
Self-citationUser acceptance of smart home services: An extension of the theory of planned behavior
Yang, H., Lee, H., & Zo, H. (2017) · Industrial Management & Data Systems · doi:10.1108/imds-01-2016-0017 · Cited by 325
Adaptive personalization using social networks
Chung, T. S., Wedel, M., & Rust, R. T. (2016) · Journal of the Academy of Marketing Science · doi:10.1007/s11747-015-0441-x · Cited by 184
Cao, Q., Jones, D. R., & Sheng, H. (2014) · Information & Management · doi:10.1016/j.im.2013.11.007 · Cited by 126
Analysis of e-commerce innovation and impact: A hypercube model
Wu, J.-H., & Hisa, T.-L. (2004) · Electronic Commerce Research and Applications · doi:10.1016/j.elerap.2004.05.002 · Cited by 102
Metadata
- Authors
- Lyytinen, K., & Yoo, Y.
- Venue
- Information Systems Research
- Published
- 2002-12
- Volume
- 13
- Issue
- 4
- Pages
- 377-388
- ISSN
- 1047-7047 (ISSN-L)
- 1526-5536
- OpenAlex
- W2065052994
- Cited by
- 503
- References
- 4
- Type
- journal article
- Language
- en
- Open access
- closed
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