动员新生关系:新来者网络中社会(化)资本的定性结构分析

IF 1.4 Q2 SOCIAL SCIENCES, INTERDISCIPLINARY Network Science Pub Date : 2020-09-01 DOI:10.1017/nws.2020.25
Sabine R. Bakker
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引用次数: 1

摘要

摘要本文研究了新入职员工在组织社会化过程中需要同时建立和调动个人网络关系的过程。它侧重于早期形成阶段的纽带质量,其特点是行动者之间缺乏纽带历史。社会资本理论认为,这种新生的关系并没有为新来者(需要)在社会化过程中所依赖的资源种类和数量提供最佳渠道。为了从自我中心的角度更好地理解人际关系质量和资源需求之间的明显不匹配是如何处理的,本文使用了一种改编形式的定性结构分析,分析了来自9个组织的24名新人的个人网络数据。三个领带级别的品质被发现来解释领带历史的缺乏是如何被减轻、规避或补偿的。它们包括(a)在更强的关系中体验到的开放性的变体,(b)对较弱关系的低门槛的感知,以及(c)关于潜在关系的合法性来源。基于这些发现,本文提出了一个整合的概念模型来阐明新生关系如何在社会化过程中为网络资源提供渠道,并讨论了进一步研究特定调节者在调查过程中的作用的必要性。
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Mobilizing nascent ties: A Qualitative Structural Analysis of social(izing) capital in newcomer networks
Abstract This paper investigates the processes involved when newly hired employees need to simultaneously build up and mobilize personal network ties during their organizational socialization. It focuses on the quality of ties at an early formative stage, characterized by the lack of a tie history between actors. Social capital theory would suggest that such nascent ties do not offer optimal channels for the kind and volume of resources that newcomers (need to) rely on during socialization. To better understand how this apparent mismatch between tie quality and resource needs is handled from an ego-centered perspective, the paper analyzes personal network data from 24 newcomers in nine organizations, using an adapted form of Qualitative Structural Analysis. Three tie-level qualities are found to explain how the lack of tie history may be alleviated, circumvented, or compensated. They comprise (a) variants of openness experienced with stronger ties, (b) perceptions of a lowered threshold towards weaker ties, and (c) sources of legitimacy regarding latent ties. Based on these findings, the paper presents an integrated conceptual model to clarify how nascent ties offer channels for network resources during socialization and discusses the need for further research on the role of specific moderators for the investigated processes.
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来源期刊
Network Science
Network Science SOCIAL SCIENCES, INTERDISCIPLINARY-
CiteScore
3.50
自引率
5.90%
发文量
24
期刊介绍: Network Science is an important journal for an important discipline - one using the network paradigm, focusing on actors and relational linkages, to inform research, methodology, and applications from many fields across the natural, social, engineering and informational sciences. Given growing understanding of the interconnectedness and globalization of the world, network methods are an increasingly recognized way to research aspects of modern society along with the individuals, organizations, and other actors within it. The discipline is ready for a comprehensive journal, open to papers from all relevant areas. Network Science is a defining work, shaping this discipline. The journal welcomes contributions from researchers in all areas working on network theory, methods, and data.
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