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论文编号：	15761
作者编号：	2320234113
上传时间：	2025/12/9 21:22:24
中文题目：	情绪管理专业型企业创业模式研究
英文题目：	Entrepreneurial Models in Professional Emotion Management Enterprises
指导老师：	古志辉教授
中文关键字：	情绪管理；创业模式；人工智能；特殊服务业
英文关键字：	Emotion Management; Entrepreneurial Model; Artificial Intelligence; Specialized Service Industry
中文摘要：	随社会经济发展与健康意识觉醒，“情绪经济”已成为重要议题。个体与组织对专业情绪管理服务的需求激增，催生了众多创业企业。然而，该领域的创业企业普遍面临商业模式模糊、核心竞争力缺失等挑战。情绪管理作为“特殊服务业”，其创业成功要素与一般服务业存在显著差异。 本研究旨在构建一个“双层风险分析框架”，系统性区分一般服务业的“通用失败因素”（如资源短缺、管理短板）与情绪管理行业特有的“附加失败因素”（如高信任门槛、专业伦理约束、社会认知偏误等）。在此框架基础上，本研究采用“理论构建—质性案例—量化验证”的混合研究方法。首先，通过对三家典型企业的深度案例剖析，提炼并构建了“服务整合驱动型”、“技术产品驱动型”与“生态平台驱动型”三种创业模式类型学。其次，通过对302家企业的问卷调查，实证检验了技术创新、市场导向、盈利模式多样化及创业者自我效能感对创业绩效的驱动机制，并探究了AI技术融合的调节效应。 研究发现：第一，所构建的三种创业模式在应对行业“附加失败因素”时，展现出差异化的战略路径与资源依赖。第二，实证数据显示，技术创新投入是对创业绩效影响最强的核心引擎，而市场导向是企业克服信任门槛、转化技术价值的关键前提。第三，AI技术的融入不仅是效率工具，更是重塑价值主张、但也带来伦理挑战的战略变量。本研究为情绪管理领域的创业者提供了战略决策导航，也为投资者评估与政策制定提供了理论参考。
英文摘要：	With the socio-economic development and growing health consciousness, the "emotion economy" has spurred the growth of specialized enterprises in training, consulting, and technology. However, these startups often face challenges such as ambiguous business models and difficulty establishing core competitiveness. This thesis addresses these issues by creating an analytical framework. Through a literature review, this framework identifies and separates common entrepreneurial failure factors, such as managerial shortcomings, from the unique challenges of the emotion management industry, such as high barriers to client trust, stringent qualifications, and ethical conflicts. To ground the theoretical framework, this thesis adopts a mixed-methods approach. It begins with a multi-case study, conducting in-depth interviews with three domestic enterprises to analyze their strategies and use of AI. Following this qualitative stage, a survey was distributed to a broader sample of companies for quantitative data collection. Statistical analysis was used to verify the impact of market demand, technological innovation, and the ability to handle industry-specific challenges on entrepreneurial success, with a focus on the moderating effect of AI integration. This thesis reveals three entrepreneurial models: "service integration-driven," "technology product-driven," and "ecosystem platform-driven." A key finding is that for specialized service enterprises, the ability to effectively establish client trust and uphold service ethics is the critical factors determining survival, even more so than common factors like resources and management. Finally, this thesis concludes that AI integration is not merely a tool for efficiency but a crucial variable for re-examining value propositions and shaping new service experiences, although it also introduces significant risks related to privacy and algorithmic ethics.
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