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The current study investigates how enterprise social media use (i.e. work- and social-related use) influences employees\u2019 perceived overload (i.e. information and social overload), which in turn affects enterprise social media-related strain. In addition, we posit that communication visibility moderates the nonlinear relationship between enterprise social media use and overload. Using a survey of 282 enterprise social media users in the workplace as a basis, we find an inverted U-shaped relationship between work-related enterprise social media use and information overload and between work-related enterprise social media use and social overload. Moreover, a U-shaped relationship is found between social-related enterprise social media use and information overload and between social-related enterprise social media use and social overload. Communication visibility positively moderates the inverted U-shaped relationships between work-related enterprise social media use and information overload and between work-related enterprise social media use and social overload, but negatively moderates the U-shaped relationship between social-related enterprise social media use and information overload. The theoretical and practical implications are also discussed.<\/jats:p>","DOI":"10.1177\/0268396218802728","type":"journal-article","created":{"date-parts":[[2019,2,1]],"date-time":"2019-02-01T18:00:27Z","timestamp":1549044027000},"page":"22-38","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":173,"title":["Enterprise social media use and overload: A curvilinear relationship"],"prefix":"10.1177","volume":"34","author":[{"given":"Xiayu","family":"Chen","sequence":"first","affiliation":[{"name":"Hefei University of Technology, People\u2019s Republic of China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shaobo","family":"Wei","sequence":"additional","affiliation":[{"name":"University of Science and Technology of China, People\u2019s Republic of China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"179","published-online":{"date-parts":[[2019,2,1]]},"reference":[{"key":"bibr1-0268396218802728","volume-title":"Multiple regression: Testing and interpreting interactions","author":"Aiken L. 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