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This chapter focuses on status to theorize the relationship between OMRT
dynamics and social processes, in particular collective learning. In neostructural
vocabulary social processes differ from OMRT dynamics. In a collective of interde-
pendent members, social processes are combined and iterated actions and interac-
tions that help these members manage the dilemmas of collective action by
constituting a form of social discipline that the same members consider to be legiti-
mate, at least temporarily. OMRT dynamics are the micro- and macrophenomena
that shape and reshape these social processes and can be considered as being among
the determinants thereof. The process taken as an example in this chapter is collec-
tive learning. In this process status is a central relational infrastructure (Blau, 1964;
Krackhardt, 1990; Lazega, 1992). Indeed, the quest for status (an individual’s
importance) in the collective, which presupposes participation in status competi-
tion, is another way of seeking to modify one’s opportunity structure to one’s advan-
tage. Social status is an inevitable basis for strategies intended to modify opportunity
structures. In effect, the multiple dimensions of social status can be measured as
concentrations of different kinds of resources. Network analysis offers measures
(essentially, centrality and prominence), that identify heterogeneous and endoge-
nous forms of status (and not simply exogenous forms as in Weber). From a more
endogenous perspective, a person can achieve status in many local ways, such as by
demonstrating great competence, assuming administrative responsibilities, gaining
popularity, concentrating various sorts of specific assets, or even receiving the
endorsement of members with status. Status competition paves the way to a man-
date to represent the collective, control resources, gain authority, and define the
terms of social exchanges, but also to protect one’s regulatory interests and partially
resist being thrust from “above” into overt competition.
Status will thus help construe and measure these dynamics for an indispensable
process of collective action and social life in communities in which it is a nota-
ble relational infrastructure: collective learning. This example will illustrate
that such infrastructures have a salient role in linking OMRT and social processes.
Theorizing these dynamics shows that geographers, historians, and sociologists
have a strong interest in collaborating in research on OMRT structuration and on the
social costs it entails.
Illustration: A Spinning-Top Model of Collective Learning
It may be useful to start this exploration with an empirical case study that illustrates
some of the complexities of OMRT dynamics. The research was used to explore the
OMRT model and permits a look at intraorganizational learning networks at the
intersection of the sociology of organizations, economic sociology, and the sociol-
ogy of law. Intraorganizational learning has been considered a significant process in
organizations ever since the publication of March and Simon’s (1958) perspective.
The relevance of studying this process has grown with the number of knowledge-
intensive organizations, which thrive on innovation, and with the concomitant
7 Organized Mobility and Relational Turnover as Context for Social Mechanisms…
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book Knowledge and Networks"
Knowledge and Networks
- Title
- Knowledge and Networks
- Authors
- Johannes GlĂĽckler
- Emmanuel Lazega
- Ingmar Hammer
- Publisher
- Springer Open
- Location
- Cham
- Date
- 2017
- Language
- German
- License
- CC BY 4.0
- ISBN
- 978-3-319-45023-0
- Size
- 15.5 x 24.1 cm
- Pages
- 390
- Keywords
- Human Geography, Innovation/Technology Management, Economic Geography, Knowledge, Discourse
- Category
- Technik