The DOI matches its Crossref record; 13 of the 13 references it cites were found in a registry or an index.
Me, My Self, and I(T): Conceptualizing Information Technology Identity and ITS Implications1
Abstract
As social roles and relationships become increasingly inseparable from people’s interactions with information technologies (ITs), new constructs representing this intertwinement are needed to expand understandings of human behavior. As part of that endeavor, this paper draws on structural symbolic interactionist identity theories to systematically develop a conceptual definition of one such construct, IT identity—defined as the extent to which an individual views use of an IT as integral to his or her sense of self—as a new form of identity. The construct is framed within a theoretical model. Our goal is to facilitate the establishment of IT identity as an important and relevant construct that can improve our understanding of a variety of phenomena. In doing so, this paper makes three contributions to the information systems (IS) literature. First, it delineates current understanding of IT as a medium, determinant, or consequent of identity. Second, it defines the conceptual domain and theme of IT identity, which is necessary for investigating the construct’s theoretical influence. Third, it demonstrates the utility of IT identity to a wide range of IS topics relating to how people express, maintain, and expand their self-concepts. In doing so, it offers potential directions and opportunities for IS researchers to incorporate this novel concept into IS research.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
The theory of planned behavior
Ajzen, I. (1991) · Organizational Behavior and Human Decision Processes · doi:10.1016/0749-5978(91)90020-t · Cited by 90,587
The Social Identity Theory of Intergroup Behavior
Tajfel, H., & Turner, J. C. (2004) · Political Psychology · doi:10.4324/9780203505984-16 · Cited by 13,467
Possessions and the Extended Self
Belk, R. W. (1988) · Journal of Consumer Research · doi:10.1086/209154 · Cited by 9,064
Understanding Information Systems Continuance: An Expectation-Confirmation Model1
Bhattacherjee, A. (2001) · MIS Quarterly · doi:10.2307/3250921 · Cited by 8,767
Technology Acceptance Model 3 and a Research Agenda on Interventions
Venkatesh, V., & Bala, H. (2008) · Decision Sciences · doi:10.1111/j.1540-5915.2008.00192.x · Cited by 8,159
Identity Theory and Social Identity Theory
Stets, J. E., & Burke, P. J. (2000) · Social Psychology Quarterly · doi:10.2307/2695870 · Cited by 4,464
Who is this "We"? Levels of collective identity and self representations.
Brewer, M. B., & Gardner, W. (1996) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.71.1.83 · Cited by 3,401
Assessing the Validity of IS Success Models: An Empirical Test and Theoretical Analysis
Rai, A., Lang, S. S., & Welker, R. B. (2002) · Information Systems Research · doi:10.1287/isre.13.1.50.96 · Cited by 1,611
Burke, P. J., & Stets, J. E. (2009) · doi:10.1093/acprof:oso/9780195388275.001.0001 · Cited by 1,399
The theory of planned behaviour: self identity, social identity and group norms.
Terry, D. J., Hogg, M. A., & White, K. M. (1999) · British Journal of Social Psychology · doi:10.1348/014466699164149 · Cited by 1,126
Cited by
The rise of artificial intelligence – understanding the AI identity threat at the workplace
Mirbabaie, M., Brünker, F., Möllmann Frick, N. R. J., & Stieglitz, S. (2022) · Electronic Markets · doi:10.1007/s12525-021-00496-x · Cited by 362
Consumers’ intentions to use online food delivery systems in the USA
Gunden, N., Morosan, C., & DeFranco, A. (2020) · International Journal of Contemporary Hospitality Management · doi:10.1108/ijchm-06-2019-0595 · Cited by 207
Stockburger, L., Kokosioulis, G., Mukkamala, A., Mukkamala, R. R., & Avital, M. (2021) · Blockchain: Research and Applications · doi:10.1016/j.bcra.2021.100014 · Cited by 172
Platforms as entrepreneurial incubators? How online labor markets shape work identity
Bellesia, F., Mattarelli, E., Bertolotti, F., & Sobrero, M. (2019) · Journal of Managerial Psychology · doi:10.1108/jmp-06-2018-0269 · Cited by 74
Becker, W. J., Belkin, L. Y., Conroy, S. A., & Tuskey, S. (2021) · Journal of Management · doi:10.1177/0149206319890655 · Cited by 73
Adam, M., Diebel, C., Goutier, M., & Benlian, A. (2024) · Decision Support Systems · doi:10.1016/j.dss.2024.114193 · Cited by 62
Development and Validation of a Basic Psychological Needs Scale for Technology Use
Moradbakhti, L., Leichtmann, B., & Mara, M. (2024) · Psychological Test Adaptation and Development · doi:10.1027/2698-1866/a000062 · Cited by 41
The job perception inventory: Considering human factors and needs in the design of human-AI work
Berretta, S., Tausch, A., Peifer, C., & Kluge, A. (2023) · Frontiers in Psychology · doi:10.3389/fpsyg.2023.1128945 · Cited by 35
“Identity is understood as the answer to the question “Who am I” (Carter and Grover, 2015) and functions as a mechanism to navigate social reality (Endacott, 2021).”
BackgroundA stigma power perspective on digital government service avoidance
Pethig, F., Kroenung, J., & Noeltner, M. (2021) · Government Information Quarterly · doi:10.1016/j.giq.2020.101545 · Cited by 23
Fang, Z., Liu, Y., Jiang, F., & Dong, W. (2023) · Journal of the Association for Information Science and Technology · doi:10.1002/asi.24747 · Cited by 8
The Unequal World of Migrant Domestic Workers in the Middle East: The Paradoxical Role of Technology
Idowu, A. (2024) · IFIP Advances in Information and Communication Technology · doi:10.1007/978-3-031-66982-8_11 · Cited by 2
Metadata
- Authors
- Carter, M., & Grover, V.
- Venue
- MIS Quarterly
- Publisher
- MIS Quarterly
- Published
- 2015-12-01
- Volume
- 39
- Issue
- 4
- Pages
- 931-957
- ISSN
- 0276-7783 (ISSN-L)
- 2162-9730
- OpenAlex
- W2202316322
- Cited by
- 320
- References
- 13
- FWCI
- 26.37
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.
