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The Relationship Between Networking LinkedIn Use and Retrieving Informational Benefits

机译:网络LinkedIn使用和获取信息利益之间的关系

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摘要

Previous research has shown that users of social network sites designed for professional purposes, such as LinkedIn, report higher professional informational benefits than nonusers. However, this effect could only be partly explained by social media use as there was also a selection effect, such that people who have more informational benefits were more likely to use LinkedIn. The goal of this study was to explore whether differences in networking, defined as a set of behaviors with the aim of building, maintaining, and using internal and external contacts for instrumental purposes, can explain this selection effect. We used data from a panel study with a representative sample of Dutch Internet users (n = 685; 259 LinkedIn users) to examine the relationships between networking and LinkedIn use as well as professional informational benefits, that is, timely access to relevant information. The results showed that people scoring high on external networking (but not internal networking within their organization) are also more likely to use LinkedIn. External networking was also positively correlated with active and passive use as well as the number of strong and latent ties on LinkedIn. However, in a mediation model the direct effect of networking on informational benefits was not mediated by actual social media use and network composition; instead, the number of weak ties had a direct effect on informational benefits. The results thus indicate that networking is a major driver of informational benefits from LinkedIn use.
机译:先前的研究表明,为职业目的而设计的社交网站的用户(例如LinkedIn)报告的专业信息收益要高于非用户。但是,这种影响只能部分地由社交媒体使用来解释,因为还有选择效应,因此,具有更多信息利益的人更有可能使用LinkedIn。这项研究的目的是探索网络中的差异是否可以解释这种选择效应,网络中的差异被定义为一组行为,旨在建立,维护和使用内部和外部联系来实现工具性目的。我们使用来自小组研究的数据以及荷兰互联网用户的代表性样本(n = 685,共有259个LinkedIn用户)来检查网络与LinkedIn使用之间的关系以及专业的信息收益,即及时访问相关信息。结果表明,在外部网络(而不是组织内部的内部网络)中得分较高的人也更可能使用LinkedIn。外部网络还与主动和被动使用以及LinkedIn上牢固和潜在联系的数量呈正相关。但是,在调解模型中,网络对信息收益的直接影响并不由实际的社交媒体使用和网络组成来介导。相反,弱势联系的数量直接影响信息收益。结果表明,网络是使用LinkedIn带来的信息收益的主要驱动力。

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