主管:中国科学院
主办:中国优选法统筹法与经济数学研究会
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平台呈现信息与服务商技能信息的交互机制研究:技能凝聚性的双刃剑效应探索

董凌峰, 黄鹂强, 涂雨   

  1. 杭州师范大学, 310000
  • 收稿日期:2025-02-26 修回日期:2026-02-26 接受日期:2026-08-28
  • 通讯作者: 黄鹂强
  • 基金资助:
    国家自然科学基金项目(72301087, 72271217); 国家重点研发计划项目(2018YFB1403600); 浙江省自然科学基金项目(LQ23G010002; LR22G010002)

Research on the Interaction Mechanism between PlatformGenerated Information and Contractor Skill Information: Exploring the Double-Edged Sword Effect of Skillset Cohesion

  1. , 310000,
  • Received:2025-02-26 Revised:2026-02-26 Accepted:2026-08-28

摘要: 平台呈现信息与服务商技能信息是服务竞标过程中的关键线索。然而,既有文献大多割裂了这两种信息的探索,针对两种信息融合影响的作用机制尚不清晰。基于线索一致性理论,本文阐述了技能凝聚性如何调节平台生成信息对服务商中标率的影响。利用猪八戒网的数据对理论模型进行实证检验,结果表明:技能凝聚性强化了服务评分对中标率的影响,同时削弱服务参考价格对中标率的影响。研究结论有助于深化在线劳动力平台信息机制的理论研究,为平台管理者和服务商优化信息策略提供有益指导。

关键词: 在线劳动力平台;技能凝聚性;中标率

Abstract: Platform-generated information and contractor-provided skill information serve as key cues that help users reduce the information asymmetry. However, the existing studies have not clearly explained how these two channels work together or to unpack the mechanisms through which their interplay influences bid outcomes. To fill this gap. This paper investigates how skillset cohesion moderates the impact of platform-generated information (such as service rating, service experience and service reference price) on bid success rates. Drawing upon cue consistency theory, we develop a model and propose research hypotheses. Using a dataset obtained from the ZBJ.com platform, our results indicate that skillset cohesion enhances the positive impact of service ratings on bid success rates while mitigating the negative impact of service reference prices. The findings reveal the complex relationships between skillset cohesion and platform information cues, which provide strategic insights for platform managers and contractors.

Key words: online labor platforms, skillset cohesion, bid success rate