The DOI matches its Crossref record; 107 of the 107 references it cites were found in a registry or an index.
Capturing the Complexity of Malleable IT Use: Adaptive Structuration Theory for Individuals1
Abstract
The confluence of widely available malleable technology and the “bring your own device” (BYOD) trend creates a new dynamic for information technology innovation in the workplace. Nontechnical users are empowered to adapt pliable technology in the course of normal usage episodes. We develop a theoretical perspective of adaptation behaviors by extending the adaptive structuration theory (AST) to the level of individuals, and present a topology of adaptation behaviors to capture the rich landscape of this emerging phenomenon. Based on this new theoretical perspective, we propose a research model and perform a survey study targeting young professionals to empirically investigate adaptation of malleable IT by users. Our findings reveal the compounding effects of four distinct adaptation behaviors including the insight that task adaptation mediates the effect of technology adaptation on individual performance. This study contributes by providing a theoretical framework for examining adaptation behaviors, extending AST to the level of individuals, and addressing specific criticisms of AST in the information systems literature.
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“Further, our results point out that enterprise messengers as social information systems are not limited to their well-known characteristics of flexibility and malleability (Richter and Riemer 2013;Schmitz et al. 2016).”
From How affordances of chatbots cross the chasm between social and traditional enterprise systems (2020) · cites this paper as Schmitz et al. 2016
Citations
Cites
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Task-Technology Fit and Individual Performance
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Research works printed but not linked: 3
- King, 2014, Field Notes: ‘Rogue’ Employees Want IT to Lighten Up Already, Computerworld
- Kock, 2015, WarpPLS 5.0 User Manual
- Vick, 1984, Introduction: A Software Engineering Environment, xi
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Items 201–204 of 204
Zhang, F., Pan, Z., Hu, Q., & Lu, Y. (2026) · Information & Management · doi:10.1016/j.im.2026.104403 · Cited by 1
Structuring leadership: Emergent states and outcomes in multicultural virtual teams
Do, H. T. K., Gunkel, M., Farrell, W., & Taras, V. (2026) · German Journal of Human Resource Management Zeitschrift für Personalforschung · doi:10.1177/23970022261475067 · Cited by 1
Ravi, J. V. P., Palau‐Saumell, R., & Meyer, J. (2026) · Behaviour and Information Technology · doi:10.1080/0144929x.2026.2719730
Hur, I., Yoo, C. W., Goo, J., & Xia, W. (2026) · MIS Quarterly · doi:10.25300/misq/2026/19117
Metadata
- Authors
- Schmitz, K. W., Teng, J. T. C., & Webb, K. J.
- Affiliations
- Georgia State University (US)
- The University of Texas at Arlington (US)
- Texas Wesleyan University (US)
- Venue
- MIS Quarterly
- Publisher
- MIS Quarterly
- Published
- 2016-09-01
- Volume
- 40
- Issue
- 3
- Pages
- 663-686
- ISSN
- 0276-7783 (ISSN-L)
- 2162-9730
- OpenAlex
- W2565743042
- Cited by
- 205
- References
- 106
- Citations by year
- 2026: 23 · 2025: 26 · 2024: 16 · 2023: 18 · 2022: 20 · 2021: 24 · 2020: 19 · 2019: 38 · 2018: 14 · 2017: 6
- FWCI
- 55.27
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- MIS Quarterly (publishedVersion)
- Topics
- Social Sciences › Business, Management and Accounting › Management Information Systems › Information Systems Theories and Implementation
- Social Sciences › Decision Sciences › Information Systems and Management › Technology Adoption and User Behaviour
- Physical Sciences › Computer Science › Human-Computer Interaction › Usability and User Interface Design
- Keywords
- adaptive structuration theory, technology adaptation, Bring Your Own Device, behavioral adaptation, task adaptation, individual performance, young professionals
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