The DOI matches its Crossref record; 102 of the 102 references it cites were found in a registry or an index.
Using Coevolutionary and Complexity Theories to Improve IS Alignment: A multi–Level Approach
Open accessAbstract
The misalignment of information systems (IS) components with the rest of an organization remains a critical and chronic unsolved problem in today's complex and turbulent world. This paper argues that the coevolutionary and emergent nature of alignment has rarely been taken into consideration in IS research and that this is the reason behind why IS alignment is so difficult. A view of IS alignment is presented about organizations that draws and builds on complexity theory and especially its focus on coevolution-based self-organized emergent behaviour and structure, which provides important insights for dealing with the emergent nature of IS alignment. This view considers Business/IS alignment as a series of adjustments at three levels of analysis: individual, operational, and strategic, and suggests several enabling conditions – principles of adaptation and scale-free dynamics – aimed at speeding up the adaptive coevolutionary dynamics among the three levels.
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Yeow, A., Soh, C., & Hansen, R. (2018) · The Journal of Strategic Information Systems · doi:10.1016/j.jsis.2017.09.001 · Cited by 689
Strategic IT Alignment: Twenty-Five Years on
Coltman, T., Tallon, P., Sharma, R., & Queiroz, M. (2015) · Journal of Information Technology · doi:10.1057/jit.2014.35 · Cited by 301
Clarifying the project complexity construct: Past, present and future
Bakhshi, J., Ireland, V., & Gorod, A. (2016) · International Journal of Project Management · doi:10.1016/j.ijproman.2016.06.002 · Cited by 293
Looking Toward the Future of IT–Business Strategic Alignment Through the Past: A Meta-Analysis1
Gerow, J. E., Grover, V., Thatcher, J., & Roth, P. L. (2014) · MIS Quarterly · doi:10.25300/misq/2014/38.4.10 · Cited by 277
Metadata
- Authors
- Benbya, H., & McKelvey, B.
- Venue
- Journal of Information Technology
- Publisher
- SAGE Publications
- Published
- 2006-12
- Volume
- 21
- Issue
- 4
- Pages
- 284-298
- ISSN
- 0268-3962 (ISSN-L)
- 1466-4437
- OpenAlex
- W2106890209
- Cited by
- 289
- References
- 102
- FWCI
- 9.37
- Type
- journal article
- Language
- en
- Open access
- green
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