Examining communication network behaviors, structure and dynamics in an organizational hierarchy: A social network analysis approach

IF 7.4 1区 管理学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS Information Processing & Management Pub Date : 2024-10-19 DOI:10.1016/j.ipm.2024.103927
Tao Wen , Yu-wang Chen , Tahir Abbas Syed , Darminder Ghataoura
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Abstract

Effectively understanding and enhancing communication flows among employees within an organizational hierarchy is crucial for optimizing operational and decision-making efficiency. To fill this significant gap in research, we propose a systematic and comprehensive social network analysis approach, coupled with a newly formulated communication vector and matrix, to examine communication behaviors and dynamics in an organizational hierarchy. We use the Enron email dataset, consisting of 619,499 emails, as an illustrative example to bridge the micro-macro divide of organizational communication research. A series of centrality measures are employed to evaluate the influential ability of individual employees, revealing descending influential ability and changing behaviors according to hierarchy. We also uncover that employees tend to communicate within the same functional teams through the identification of community structure and the proposed communication matrix. Furthermore, the emergent dynamics of organizational communication during a crisis are examined through a time-segmented dataset, showcasing the progressive absence of the legal team, the responsibility of top management, and the presence of hierarchy. By considering both individual and organizational perspectives, our work provides a systematic and data-driven approach to understanding how the organizational communication network emerges dynamically from individual communication behaviors within the hierarchy, which has the potential to enhance operational and decision-making efficiency within organizations.
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研究组织层级中的通信网络行为、结构和动态:社会网络分析方法
有效了解和加强组织层级中员工之间的沟通对于优化运营和决策效率至关重要。为了填补这一重大研究空白,我们提出了一种系统而全面的社会网络分析方法,并结合新制定的沟通向量和矩阵,来研究组织层级中的沟通行为和动态。我们以由 619,499 封电子邮件组成的安然电子邮件数据集为例,说明如何弥合组织沟通研究的微观-宏观鸿沟。我们采用了一系列中心度量来评估单个员工的影响能力,揭示了不同层级的员工影响能力和行为变化。我们还通过确定社区结构和提出沟通矩阵,发现员工倾向于在同一职能团队内进行沟通。此外,我们还通过分时数据集研究了危机期间组织沟通的突发动态,展示了法律团队的逐步缺失、高层管理者的责任以及等级制度的存在。通过考虑个人和组织两个视角,我们的工作提供了一种系统化和数据驱动的方法,用于理解组织沟通网络是如何从个人在层级中的沟通行为中动态产生的,这有可能提高组织内的运营和决策效率。
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来源期刊
Information Processing & Management
Information Processing & Management 工程技术-计算机:信息系统
CiteScore
17.00
自引率
11.60%
发文量
276
审稿时长
39 days
期刊介绍: Information Processing and Management is dedicated to publishing cutting-edge original research at the convergence of computing and information science. Our scope encompasses theory, methods, and applications across various domains, including advertising, business, health, information science, information technology marketing, and social computing. We aim to cater to the interests of both primary researchers and practitioners by offering an effective platform for the timely dissemination of advanced and topical issues in this interdisciplinary field. The journal places particular emphasis on original research articles, research survey articles, research method articles, and articles addressing critical applications of research. Join us in advancing knowledge and innovation at the intersection of computing and information science.
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