智能服务社会责任治理:系统文献综述

IF 5.2 3区 管理学 Q1 BUSINESS
Haonan Nan;Jiawei Lin;Ziyuan Xia;Saixing Zeng
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引用次数: 0

摘要

智能技术正在重塑各个部门的服务运营,同时引发了与隐私、公平和问责制相关的关键问题。鉴于各种服务代理之间的交互所产生的风险的复杂性,有效的治理需要对智能服务生态系统中如何生成和管理责任有一个全面的了解。为了解决这些动态,我们进行了系统的文献综述,以建立对智能服务社会责任(SSSR)的基本理解。我们提出了一个新的“I-D-G”(识别-解构-治理)框架,提供了一个综合的视角,通过它来分析多智能体系统中的责任出现、归因和治理。我们的综述确定了责任的关键维度,澄清了代理人的角色和相互作用,并沿着三条途径综合了治理实践:技术治理、制度监管和多方监督。本研究通过提供一个结构化的框架来增强智能服务运营中的社会责任和协作治理,从而推进了服务、运营和工程管理方面的文献。最后,从理论和实践两方面提出了加强企业社会责任适应性和有效性治理的未来研究方向。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Governance of Smart Service Social Responsibility: A Systematic Literature Review
Smart technologies are reshaping service operations across sectors while raising critical concerns related to privacy, fairness, and accountability. Given the complexity of risks arising from interactions among diverse service agents, effective governance demands a holistic understanding of how responsibility is generated and managed within smart service ecosystems. To address these dynamics, we conduct a systematic literature review in order to establish a foundational understanding of smart service social responsibility (SSSR). We propose a novel “I-D-G” (identify-deconstruct-govern) framework, providing an integrated lens through which to analyze responsibility emergence, attribution, and governance in multiagent systems. Our review identifies key dimensions of responsibility, clarifies the roles and interactions of agents, and synthesizes governance practices along three pathways: technological governance, institutional regulation, and multiparty supervision. This study advances the literature on service, operations, and engineering management by offering a structured framework with which to enhance social responsibility and collaborative governance in smart service operations. Finally, we propose several future research directions to strengthen the adaptive and effective governance of SSSR from both theoretical and practical perspectives.
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来源期刊
IEEE Transactions on Engineering Management
IEEE Transactions on Engineering Management 管理科学-工程:工业
CiteScore
10.30
自引率
19.00%
发文量
604
审稿时长
5.3 months
期刊介绍: Management of technical functions such as research, development, and engineering in industry, government, university, and other settings. Emphasis is on studies carried on within an organization to help in decision making or policy formation for RD&E.
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