Dynamics of knowledge-intensive production: An agency-structure framework

IF 1.3 4区 社会学 Q3 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS
Jaideep Ghosh
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引用次数: 0

Abstract

ABSTRACT In the vast majority of modern technological and knowledge-intensive production systems, human agency and the structure of social interactions among the human individuals are implicated in each other. While the force of agency drives an individual’s urge to introduce innovation and novelty into production, the force of the structuring interactions demands shared expectations and mutual adaptation for co-creation. In an organizational context, when the objective is to manage production work that is governed by the concurrent interplay of both these forces, one might ask whether the cumulative output of each could be reconciled through the emergence of a stable balance between them over time. In this article, I introduce a framework to study the conditions under which this balance can be attained. Based on a real-life application, I show, in particular, that, while a direct realization of the condition is unlikely in practice, it is possible, nevertheless, to establish indirectly the condition through adjustments of certain parameters relevant to the dynamics of a networked system. The work contributes to the growing body of literature that explores the role of coordination between self-driven activities of individuals and their structure-mediated interactions in an underlying social context.
知识密集型生产的动力学:一个代理结构框架
摘要在绝大多数现代技术和知识密集型生产系统中,人的能动性和人与人之间的社会互动结构是相互关联的。虽然代理的力量驱动着个人将创新和新奇引入生产的冲动,但结构化互动的力量需要共同的期望和对共同创造的相互适应。在组织环境中,当目标是管理由这两种力量同时相互作用所支配的生产工作时,人们可能会问,随着时间的推移,是否可以通过它们之间的稳定平衡来调和每种力量的累积产出。在这篇文章中,我介绍了一个框架来研究实现这种平衡的条件。基于实际应用,我特别表明,虽然在实践中不太可能直接实现该条件,但通过调整与网络系统动力学相关的某些参数,可以间接建立该条件。这项工作为越来越多的文献做出了贡献,这些文献探讨了在潜在的社会背景下,个体的自我驱动活动与其结构介导的互动之间的协调作用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of Mathematical Sociology
Journal of Mathematical Sociology 数学-数学跨学科应用
CiteScore
2.90
自引率
10.00%
发文量
5
审稿时长
>12 weeks
期刊介绍: The goal of the Journal of Mathematical Sociology is to publish models and mathematical techniques that would likely be useful to professional sociologists. The Journal also welcomes papers of mutual interest to social scientists and other social and behavioral scientists, as well as papers by non-social scientists that may encourage fruitful connections between sociology and other disciplines. Reviews of new or developing areas of mathematics and mathematical modeling that may have significant applications in sociology will also be considered. The Journal of Mathematical Sociology is published in association with the International Network for Social Network Analysis, the Japanese Association for Mathematical Sociology, the Mathematical Sociology Section of the American Sociological Association, and the Methodology Section of the American Sociological Association.
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