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引用次数: 0
摘要
目的人工智能(AI)在服务领域的应用引发了企业与客户互动方式的根本性变革。专为客户服务设计的人工智能被称为服务型人工智能。本研究旨在通过社会信息处理理论和愉悦-唤醒-支配(PAD)情绪状态模型的视角,研究服务型人工智能拟人化影响客户价值共创倾向的内在机制。通过有目的的抽样调查,共收集到 350 份调查回复。我们使用基于协方差的结构方程模型(CB-SEM)对调查数据进行了分析。首先,服务型人工智能的拟人化有利于促进客户的价值共创倾向。其次,服务型人工智能的拟人化能加强客户对可爱度和服务能力的感知,激发新奇感,并增强客户与服务型人工智能合作创造价值的倾向。本研究将 PAD 情绪状态模型与社会信息处理理论相结合,探讨了服务型人工智能的拟人化对顾客价值共创倾向的影响。
Anthropomorphism of service-oriented AI and customers’ propensity for value co-creation
Purpose
Artificial intelligence (AI) used in service has sparked fundamental changes in how enterprises engage their customers. AI specifically designed for customer service is denoted as service-oriented AI. Through the lens of social information processing theory and the pleasure-arousal-dominance (PAD) emotional state model, this study aims to examine the underlying mechanisms for service-oriented AI anthropomorphism to influence customers' propensity for value co-creation.
Design/methodology/approach
Our data were collected from hotel customers who had experienced interactions with service-oriented AI. Through purposive sampling, 350 survey responses were collected. We analyzed the survey data using covariance-based structural equation modeling (CB-SEM).
Findings
This study has two key findings. Firstly, customers' propensity for value co-creation is favorably facilitated by the anthropomorphism of service-oriented AI. Secondly, the anthropomorphism of service-oriented AI can strengthen customers' perceptions of cuteness and service capacity, elicit a sense of novelty, and enhance customers' propensity to collaborate with service-oriented AI to create value. These findings address the research gaps by focusing on customer engagement through service-oriented AI and provide a theoretical basis for subsequent practical endeavors in the field.
Originality/value
Integrating the PAD emotional state model with the social information processing theory, this study explores the effects of service-oriented AI's anthropomorphism on customers' propensity for value co-creation.
期刊介绍:
Marketing Intelligence & Planning (MIP) facilitates communication between researchers and practitioners, providing the users of research with a wealth of robust and relevant information. At a time when some journals are losing their relevance to industry and practical requirements, MIP successfully offers a bridge between academic and practitioner thinking, while retaining a high level of scientific rigour.