首页> 外文期刊>Information technology & people >Emotion in enterprise social media systems
【24h】

Emotion in enterprise social media systems

机译:企业社交媒体系统中的情感

获取原文
获取原文并翻译 | 示例
       

摘要

Purpose The purpose of this paper is to investigate enterprise social media systems and quantified gender and status influences on emotional content presented in these systems.Design/methodology/approach Internal social media messages were collected from a global software company running an enterprise social media system. An indirect observatory test using Berlo's source-message-channel-receiver model served as a framework to evaluate sender, message, channel and receiver for each text. These texts were categorized by gender and status using text analytics with SAP SA to produce sentiment indications.Findings Results reveal women use positive language 2.1 times more than men. Senior managers express positive language 1.7 times more than non-managers, and feeling rules affect all genders and statuses, but not necessarily as predicted by theory. Other findings show that public messages contained less emotional content, and women expressed more positivity to lower status colleagues. Men expressed more positivity to those in higher positions. Many gender and status stereotypes found in face-to-face studies are also present in digital enterprise social networks.Research limitations/implications Limitations include generalizability: all data were collected from a single enterprise social media system.Practical implications Managers establishing codes of conduct for social media use will find this research useful, particularly when promoting awareness of emotional expressiveness in online venues with subordinate colleagues.Originality/value This study offers a behavioral measurement approach free from validity issues found in self-reported surveys, direct observations and interviews. The collected data offered new perspectives on existing social theories within a new environment of computerized, enterprise social media.
机译:目的本文的目的是调查企业社交媒体系统和量化的性别和状态,对这些系统中呈现的情感内容的影响。从运营企业社交媒体系统的全球软件公司收集了贡献的情绪内容。使用Berlo源消息通道 - 接收器模型的间接观察台测试用作评估每个文本的发件人,消息,通道和接收器的框架。这些文本由性别和状态分类,使用文本分析与SAP SA产生情感指示.Findings结果显示女性使用正语言比男性多2.1倍。高级管理人员表达积极的语言比非管理人员的积极语言比非管理者更高1.7倍,感受规则影响所有的性别和地位,但不一定按照理论预测。其他研究结果表明,公共消息包含较少的情绪内容,女性对降低地位同事表示更积极。男性对那些更高职位的人表示更积极。在面对面研究中发现的许多性别和地位刻板印象也存在于数字企业社交网络中。研究限制/影响限制包括概括性:所有数据都是从单一企业社交媒体系统中收集的。正方形含义管理人员建立行为准则社交媒体使用将发现这项研究有用,特别是在促进与下属同事的在线场地的情感表达性的认识。本研究提供了自我报告调查,直接观察和访谈中发现的有效性问题的行为测量方法。收集的数据在计算机化企业社交媒体的新环境中提供了关于现有社会理论的新观点。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号