Understanding patterns of technology evolution

An ecosystem perspective

Gediminas Adomavicius, Jesse C Bockstedt, Alok Gupta, Robert J. Kauffman

Research output: Chapter in Book/Report/Conference proceedingConference contribution

17 Citations (Scopus)

Abstract

Understanding the dynamics of technology evolution - whether for the purposes of forecasting new product or technology infrastructure developments, or identifying the basis for future digital convergence in the global market - is a key challenge for innovators, senior managers, and policymakers. This research provides an overview of a new ecosystem model of technology evolution, the purpose of which is to structure these kinds of assessments and suggest reusable analysis structures to ensure that total environment of technological innovation is considered. We use examples from the end-user computing context and the electronics industry to identify five patterns of technology evolution that commonly occur. We also develop a state diagram-based approach to demonstrate the cyclical nature of technology evolution. Finally, we illustrate our findings using a case study on digital music technologies.

Original languageEnglish (US)
Title of host publicationProceedings of the Annual Hawaii International Conference on System Sciences
Volume8
DOIs
StatePublished - 2006
Externally publishedYes
Event39th Annual Hawaii International Conference on System Sciences, HICSS'06 - Kauai, HI, United States
Duration: Jan 4 2006Jan 7 2006

Other

Other39th Annual Hawaii International Conference on System Sciences, HICSS'06
CountryUnited States
CityKauai, HI
Period1/4/061/7/06

Fingerprint

Ecosystems
Electronics industry
Managers
Innovation

Keywords

  • Business technologies
  • Digital music industry
  • Ecosystem model
  • Evolutionary patterns
  • Management of technology
  • Technology ecosystem
  • Technology evolution

ASJC Scopus subject areas

  • Engineering(all)

Cite this

Adomavicius, G., Bockstedt, J. C., Gupta, A., & Kauffman, R. J. (2006). Understanding patterns of technology evolution: An ecosystem perspective. In Proceedings of the Annual Hawaii International Conference on System Sciences (Vol. 8). [1579674] https://doi.org/10.1109/HICSS.2006.515

Understanding patterns of technology evolution : An ecosystem perspective. / Adomavicius, Gediminas; Bockstedt, Jesse C; Gupta, Alok; Kauffman, Robert J.

Proceedings of the Annual Hawaii International Conference on System Sciences. Vol. 8 2006. 1579674.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Adomavicius, G, Bockstedt, JC, Gupta, A & Kauffman, RJ 2006, Understanding patterns of technology evolution: An ecosystem perspective. in Proceedings of the Annual Hawaii International Conference on System Sciences. vol. 8, 1579674, 39th Annual Hawaii International Conference on System Sciences, HICSS'06, Kauai, HI, United States, 1/4/06. https://doi.org/10.1109/HICSS.2006.515
Adomavicius G, Bockstedt JC, Gupta A, Kauffman RJ. Understanding patterns of technology evolution: An ecosystem perspective. In Proceedings of the Annual Hawaii International Conference on System Sciences. Vol. 8. 2006. 1579674 https://doi.org/10.1109/HICSS.2006.515
Adomavicius, Gediminas ; Bockstedt, Jesse C ; Gupta, Alok ; Kauffman, Robert J. / Understanding patterns of technology evolution : An ecosystem perspective. Proceedings of the Annual Hawaii International Conference on System Sciences. Vol. 8 2006.
@inproceedings{d8cc82089a2c41fcb662d9efc2703167,
title = "Understanding patterns of technology evolution: An ecosystem perspective",
abstract = "Understanding the dynamics of technology evolution - whether for the purposes of forecasting new product or technology infrastructure developments, or identifying the basis for future digital convergence in the global market - is a key challenge for innovators, senior managers, and policymakers. This research provides an overview of a new ecosystem model of technology evolution, the purpose of which is to structure these kinds of assessments and suggest reusable analysis structures to ensure that total environment of technological innovation is considered. We use examples from the end-user computing context and the electronics industry to identify five patterns of technology evolution that commonly occur. We also develop a state diagram-based approach to demonstrate the cyclical nature of technology evolution. Finally, we illustrate our findings using a case study on digital music technologies.",
keywords = "Business technologies, Digital music industry, Ecosystem model, Evolutionary patterns, Management of technology, Technology ecosystem, Technology evolution",
author = "Gediminas Adomavicius and Bockstedt, {Jesse C} and Alok Gupta and Kauffman, {Robert J.}",
year = "2006",
doi = "10.1109/HICSS.2006.515",
language = "English (US)",
isbn = "0769525075",
volume = "8",
booktitle = "Proceedings of the Annual Hawaii International Conference on System Sciences",

}

TY - GEN

T1 - Understanding patterns of technology evolution

T2 - An ecosystem perspective

AU - Adomavicius, Gediminas

AU - Bockstedt, Jesse C

AU - Gupta, Alok

AU - Kauffman, Robert J.

PY - 2006

Y1 - 2006

N2 - Understanding the dynamics of technology evolution - whether for the purposes of forecasting new product or technology infrastructure developments, or identifying the basis for future digital convergence in the global market - is a key challenge for innovators, senior managers, and policymakers. This research provides an overview of a new ecosystem model of technology evolution, the purpose of which is to structure these kinds of assessments and suggest reusable analysis structures to ensure that total environment of technological innovation is considered. We use examples from the end-user computing context and the electronics industry to identify five patterns of technology evolution that commonly occur. We also develop a state diagram-based approach to demonstrate the cyclical nature of technology evolution. Finally, we illustrate our findings using a case study on digital music technologies.

AB - Understanding the dynamics of technology evolution - whether for the purposes of forecasting new product or technology infrastructure developments, or identifying the basis for future digital convergence in the global market - is a key challenge for innovators, senior managers, and policymakers. This research provides an overview of a new ecosystem model of technology evolution, the purpose of which is to structure these kinds of assessments and suggest reusable analysis structures to ensure that total environment of technological innovation is considered. We use examples from the end-user computing context and the electronics industry to identify five patterns of technology evolution that commonly occur. We also develop a state diagram-based approach to demonstrate the cyclical nature of technology evolution. Finally, we illustrate our findings using a case study on digital music technologies.

KW - Business technologies

KW - Digital music industry

KW - Ecosystem model

KW - Evolutionary patterns

KW - Management of technology

KW - Technology ecosystem

KW - Technology evolution

UR - http://www.scopus.com/inward/record.url?scp=33749662924&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=33749662924&partnerID=8YFLogxK

U2 - 10.1109/HICSS.2006.515

DO - 10.1109/HICSS.2006.515

M3 - Conference contribution

SN - 0769525075

SN - 9780769525075

VL - 8

BT - Proceedings of the Annual Hawaii International Conference on System Sciences

ER -