Inferring Employee Engagement from Social Media

作者: N. Sadat Shami , Michael Muller , Aditya Pal , Mikhil Masli , Werner Geyer

DOI: 10.1145/2702123.2702445

关键词:

摘要: Employees increasingly are expressing ideas and feelings through enterprise social media. Recent work in CHI CSCW has applied linguistic analysis towards understanding employee experiences. In this paper, we apply dictionary based to measure 'Employee Engagement'. Employee engagement is a of willingness discretionary effort organizational goals, plays an important role outcomes such as financial or operational results. Organizations typically use surveys engagement. This paper describes approach model on word choice method can potentially complement surveys, thus providing more real-time insights into allowing organizations address issues faster. Our results predicting scores survey by combining demographics with media text demonstrate that significant predictive power compared demographic data alone. We also find may be state than stable trait since posts closer the administration had most power. further identify minimum number required per for best prediction.

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