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引用次数: 0
摘要
引言新兴的多元文化主义视角试图通过强调劳动力的相互联系来解决包容性不足。通过反复的互动,产生了更大的信任,促进了有利于整个组织的亲社会行为(Pentland,2012)。这与社交网络实践是一致的,在社交网络实践中,通过挖掘组织中联系不足的口袋来获得信息优势,从而增加知识流动和相互影响。因此,通过努力在不同背景的员工之间建立更大的联系,并通过断开联系的群体的反复互动,可以扩大包容性努力。目标是打破障碍,提高认识和合作,减少感知到的群体差异,创造一种更具包容性的文化。这就是社交网络分析,一种数据驱动的方法,用于理解组织内个人和群体之间的关系,衡量资源、信息和影响力的流动(Borgatti et al.,2018),可以支持多元文化以可衡量的方式增加包容性。
Bringing polycultural organizations to life: A network analytic strategy
Introduction The emerging polyculturism perspective seeks to address inclusion shortcomings by emphasizing the interconnectedness of the workforce. With repeated interactions greater trust is engendered, promoting pro-social behaviors that benefit the entire organization (Pentland, 2012). This is consistent with social network practices where informational advantage is gained by tapping into under-connected pockets of the organization, allowing for increased flow of knowledge and mutual influence. As such, inclusion efforts may be amplified by striving to gain greater connectivity between employees of various backgrounds and through repeated interactions of disconnected groups. The goal is to break down barriers, increase awareness and cooperation, reduce perceived group differences, and create a more inclusive culture. This is how social network analysis, a data-driven approach to understanding the relationships between individuals and groups within organizations, measuring the flow of resources, information, and influence (Borgatti et al., 2018), can support polyculturism in increasing inclusion in a measurable way.
期刊介绍:
ACS Chemical Biology provides an international forum for the rapid communication of research that broadly embraces the interface between chemistry and biology.
The journal also serves as a forum to facilitate the communication between biologists and chemists that will translate into new research opportunities and discoveries. Results will be published in which molecular reasoning has been used to probe questions through in vitro investigations, cell biological methods, or organismic studies.
We welcome mechanistic studies on proteins, nucleic acids, sugars, lipids, and nonbiological polymers. The journal serves a large scientific community, exploring cellular function from both chemical and biological perspectives. It is understood that submitted work is based upon original results and has not been published previously.