Special issue editorial: Artificial intelligence in organizations: Implications for information systems research

Hind Benbya; Stella Pachidi; Sirkka L. Jarvenpaa

doi:10.17705/1jais.00662

Special issue editorial: Artificial intelligence in organizations: Implications for information systems research

Hind Benbya, Stella Pachidi, Sirkka L. Jarvenpaa

Research output: Contribution to journal › Article › peer-review

225 Citations (Scopus)

Abstract

Artificial intelligence (AI) technologies offer novel, distinctive opportunities and pose new significant challenges to organizations that set them apart from other forms of digital technologies. This article discusses the distinct effects of AI technologies in organizations, the tensions they raise and the opportunities they present for information systems (IS) research. We explore these opportunities in term of four business capabilities: automation, engagement, insight/decision making and innovation. We discuss the differentiated effects that AI brings about and the implications for future IS research.

Original language	English
Pages (from-to)	281-303
Number of pages	23
Journal	Journal of the Association for Information Systems
Volume	22
Issue number	2
DOIs	https://doi.org/10.17705/1jais.00662
Publication status	Published - 2021
Externally published	Yes

Bibliographical note

Publisher Copyright:
© 2021 by the Association for Information Systems. P.

Keywords

AI Capabilities
Algorithms
Artificial Intelligence
Conversational Agents
Machine Learning
Research Agenda
Robotic Automation
Robotics

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.17705/1jais.00662

Cite this

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abstract = "Artificial intelligence (AI) technologies offer novel, distinctive opportunities and pose new significant challenges to organizations that set them apart from other forms of digital technologies. This article discusses the distinct effects of AI technologies in organizations, the tensions they raise and the opportunities they present for information systems (IS) research. We explore these opportunities in term of four business capabilities: automation, engagement, insight/decision making and innovation. We discuss the differentiated effects that AI brings about and the implications for future IS research.",

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author = "Hind Benbya and Stella Pachidi and Jarvenpaa, {Sirkka L.}",

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doi = "10.17705/1jais.00662",

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KW - Artificial Intelligence

KW - Conversational Agents

KW - Machine Learning

KW - Research Agenda

KW - Robotic Automation

KW - Robotics

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ER -

Special issue editorial: Artificial intelligence in organizations: Implications for information systems research

Abstract

Bibliographical note

Keywords

UN SDGs

Access to Document

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