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https://doi.org/10.1093/oxford...
Part of book or chapter of book . 2025 . Peer-reviewed
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The Dynamics of Stability

Traditional Subsectors Within Modern Industries
Authors: D. Eleanor Westney; Kiyohiko Ito; Elizabeth L. Rose;

The Dynamics of Stability

Abstract

Abstract Traditional subsectors using preindustrial methods of working and organizing have survived in a number of industries, attracting increasing interest from researchers in a wide range of academic disciplines. Drawing on organizational ecology and its concept of environmental niches, this chapter identifies the economic resource ecosystem and the sociocultural ecosystem as key to understanding how these subsectors have survived and adapted as the larger industries and societies changed—although, at the same time, resisting change is essential to their continued survival. Based on these concepts, the chapter examines three examples: thatching in England as a traditional craft; long-lived, family-owned enterprises in Kyoto; and the use of traditional Miao batik in China for developmental purposes. The existence of the niches and the examination of these subsectors suggest topics where further research might illuminate the dynamics of change and stability in industries more broadly.

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Powered by OpenAIRE graph
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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