信息系统使用的下一代研究:代理信息系统文物的委托和委托的理论框架

MIS Q. Pub Date : 2021-03-01 DOI:10.25300/MISQ/2021/15882
A. Baird, Likoebe M. Maruping
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引用次数: 71

摘要

信息系统(IS)的使用是解释用户如何应用IS工件来实现目标的主要理论范式,它在用户-IS工件关系中优先考虑人类代理。信息系统使用研究流中的模型和理论倾向于将信息系统工件视为被动工具;在不确定的情况下,缺乏为实现最佳结果而主动采取行动和承担权利和责任的能力。我们认为,新一代的“代理”IS人工制品需要重新审视人类代理首要假设。人工智能不再是被动的等待使用的工具,不再总是从属于人类代理,现在可以承担具有模糊需求的任务的责任,并在不确定的情况下寻求最佳结果。为了推进我们的理论,我们引入了基于代理交互理论的委托,作为理解和解释人类代理IS工件关系的基础和强大视角。虽然委托一直是人类与IS工件交互的核心,但在IS使用理论中尚未明确认识到这一点。我们通过开发一个信息系统委托理论框架,明确地将信息系统委托理论化。该框架提供了一个脚手架,可以指导未来的IS委托理论,并将人类代理的IS工件二元作为分析的基本单元。该框架明确揭示了与委托相关的代理人属性(禀赋、偏好和角色)以及委托的基本机制(评估、分配和协调)的重要性。提出了指导方针,以证明如何将该理论框架应用于可测试模型的生成。最后,我们概述了动员未来研究的路线图。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Next Generation of Research on IS Use: A Theoretical Framework of Delegation to and from Agentic IS Artifacts
Information systems (IS) use, the dominant theoretical paradigm for explaining how users apply IS artifacts toward goal attainment, gives primacy to human agency in the user-IS artifact relationship. Models and theorizing in the IS use research stream tend to treat the IS artifact as a passive tool; lacking in the ability to initiate action and accept rights and responsibilities for achieving optimal outcomes under uncertainty. We argue that a new generation of “agentic” IS artifacts requires revisiting the human agency primacy assumption. ​Agentic IS artifacts​ are no longer passive tools waiting to be used, are no longer always subordinate to the human agent, and can now assume responsibility for tasks with ambiguous requirements and for seeking optimal outcomes under uncertainty. To move our theorizing forward, we introduce ​delegation​, based on agent interaction theories, as a foundational and powerful lens through which to understand and explain the human-agentic IS artifact relationship. While delegation has always been central to human-IS artifact interactions, it has yet to be explicitly recognized in IS use theorizing. We explicitly theorize IS delegation by developing an IS delegation theoretical framework. This framework provides a scaffolding which can guide future IS delegation theorizing and focuses on the human-agentic IS artifact ​dyad​ as the elemental unit of analysis. The framework specifically reveals the importance of agent attributes relevant to delegation (endowments, preferences, and roles) as well as foundational mechanisms of delegation (appraisal, distribution, and coordination). Guidelines are proposed to demonstrate how this theoretical framework can be applied toward generation of testable models. We conclude by outlining a roadmap for mobilizin​g​ future research.
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