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Effects of Conversation Politeness on Hiring Decision in Online Labor Markets: An Inverted U-Shaped Relationship Exploration

Author

Listed:
  • Lingfeng Dong

    (Alibaba Business College, Hangzhou Normal University, Hangzhou 311121, China)

  • Ting Ji

    (School of Management, Zhejiang University, Hangzhou 310058, China)

  • Jie Zhang

    (Institute of Digital Finance, Zhejiang University City College, Hangzhou 310015, China)

Abstract

This study examined the effect of politeness, as a key reflection of linguistic features of conversation in the online labor marketplace, on hiring behavior. Drawing on the politeness theory, a non-linear relationship was theorized. A hypothesis was put forward and examined against a large-scale archival dataset from a Chinese online labor market. Using an econometric model, the results demonstrated that there was an inverted U-shaped relationship between politeness and hiring decisions. The study offers theoretical implications to the online labor market literature and politeness theory by providing empirical insights on the role of politeness in hiring decision. In addition, our findings offer beneficial and practical contributions for vendors and platform operators.

Suggested Citation

  • Lingfeng Dong & Ting Ji & Jie Zhang, 2022. "Effects of Conversation Politeness on Hiring Decision in Online Labor Markets: An Inverted U-Shaped Relationship Exploration," Sustainability, MDPI, vol. 14(22), pages 1-11, November.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:22:p:15351-:d:977037
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    References listed on IDEAS

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