The Next Generation of Research on IS Use: A Theoretical Framework of Delegation to and from Agentic IS Artifacts

工件(错误) 授权 代理(哲学) 认识论 知识管理 数据科学 计算机科学 管理科学 心理学 社会学 管理 经济 社会科学 人工智能 哲学
作者
Aaron Baird,Likoebe M. Maruping
出处
期刊:Management Information Systems Quarterly [MIS Quarterly]
卷期号:45 (1): 315-341 被引量:445
标识
DOI:10.25300/misq/2021/15882
摘要

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 mobilizing future research.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
科科发布了新的文献求助10
1秒前
yi应助七七采纳,获得10
1秒前
橙子发布了新的文献求助10
1秒前
2秒前
田様应助霸气乐双采纳,获得10
3秒前
4秒前
爆米花应助pcg采纳,获得10
4秒前
5秒前
沉默的曲奇完成签到,获得积分10
6秒前
6秒前
曾zxl完成签到,获得积分10
6秒前
友好峻熙完成签到,获得积分10
7秒前
陌雨发布了新的文献求助10
7秒前
9秒前
aajhajkahna应助long采纳,获得10
9秒前
aajhajkahna应助long采纳,获得10
9秒前
科研通AI6.4应助long采纳,获得10
10秒前
aajhajkahna应助long采纳,获得10
10秒前
姜玲完成签到,获得积分10
11秒前
11秒前
依晨发布了新的文献求助10
12秒前
noflatterer发布了新的文献求助20
13秒前
科研通AI6.4应助景时采纳,获得10
13秒前
15秒前
16秒前
17秒前
17秒前
ChenkLuo发布了新的文献求助10
20秒前
大模型应助谢挽风采纳,获得10
20秒前
20秒前
kk发布了新的文献求助10
20秒前
22秒前
大气世平应助lcj1014采纳,获得10
23秒前
23秒前
24秒前
25秒前
26秒前
小一完成签到 ,获得积分10
27秒前
pizzat发布了新的文献求助10
27秒前
29秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
An Introduction to Foreign Language Learning and Teaching 750
China Pluperfect I: Epistemology of Past and Outside in Chinese Art 520
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Cosmos as Art Object: Studies in Plato's Timaeus and Other Dialogues 500
What is the Future of Psychotherapy in Digital Age? Technology, AI Bots, and Psychotherapy after Covid 444
煤炭地下气化渗流燃烧方法的研究 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7632118
求助须知:如何正确求助?哪些是违规求助? 9206540
关于积分的说明 19744936
捐赠科研通 7201478
什么是DOI,文献DOI怎么找? 3274756
关于科研通互助平台的介绍 2436661
邀请新用户注册赠送积分活动 2271422