-------- Forwarded Message --------
Call for Papers
Journal of the Association for Information Systems (JAIS) – MISQ
Executive (MISQE) Joint Special Issue on
Artificial Intelligence in Organizations: Opportunities for
Management and Implications for IS Research
Guest Editors: Hind Benbya, Stella Pachidi, Tom Davenport, Sirkka
Jarvenpaa
Introduction
Artificial Intelligence (AI) is emerging as a fundamental,
pervasive economic and organizational phenomenon that holds many
theoretical and practical opportunities and challenges for
management and information systems scholars. Recent advances in AI
have given rise to a diverse set of technologies able to perform
human-like tasks such as complex decision-making, reasoning and
learning, sophisticated analytics and pattern recognition, visual
acuity, speech recognition and language translation as well as
emotion detection (Anderson, Rainie and Luchsinger, 2018).
Today, companies across industries increasingly rely on AI
technologies to automate structured and repetitive work processes,
gain insights through extensive analysis of large datasets and
engage with customers and employees in new ways (Davenport, 2018).
Firms also combine different AI technologies to perform tasks as
diverse as selecting suitable applicants for organizational
positions, advising clients on financial products, performing
financial transactions, deciding which customers to insure,
scheduling complex logistics, diagnosing patients and suggesting
therapies, and forecasting technological developments.
As the adoption of AI technologies across organizations is
increasing, AI may alter working and organizing in significant
ways. Current debate centers on the extent to which AI
technologies would substitute or complement humans in the
workforce (Larson, 2010; Aleksander, 2017). Research is required
into the effects of AI technologies including transforming
expertise in organizations (Beane, 2018), offering novel forms of
coordination and control (Faraj, Pachidi and Sayegh, 2018), and
changing the nature and the future of work (Schwartz et al. 2019).
The conditions under which new human-machine configurations can or
cannot have effects such as amplify human ability, perform key
processes autonomously, contribute to innovativeness and affect
both short-term and sustained competitive advantage remain to be
explored (Benbya and Leidner, 2018; Yan et al. 2018).
The experiences of early adopters of AI technologies demonstrate
that such technologies may produce no, unknown, or unexpected
outcomes, raising new challenges and concerns about the long-term
impact of investments in AI in organizations. Emerging challenges
include addressing ethical concerns such as AI bias, trust, and
transparency (Daugherty et al. 2018); altering how people and
things are valued (Tegmark 2017); and eroding expertise and
occupational boundaries (Faraj et al. 2018).
It is therefore important to improve our understanding about the
potential effects of AI technologies in organizations (such as
transforming dynamics, patterns and structure of organizations,
management), and the broader societal, legal, and ethical
implications of AI. Advancing both practitioner and academic work
in these areas is of key importance at this particular moment in
time, as practitioners and academics are just beginning to
understand the transformative potential of AI technologies.
This joint JAIS-MISQE special issue seeks original research on
“Artificial Intelligence in Organizations: Opportunities for
Management and Implications for IS Research.”
Some of the topics of interest of this joint special issue include
(but are not limited to):
* Transformative effects of AI technologies
* Emergence of new configurations of human-machine interactions
and their impact on working and organizing
* Failures and errors with AI technologies
* Usage and consequences of different AI technologies (e.g.,
robotics, machine learning, chatbots, digital twins, etc.) across
industries
* Unintended consequences of AI implementation and use
* Psychological, social and cultural aspects of human computer and
robot interactions
* Organizational, societal and ethical implications of AI
* Challenges of AI for decision making
* Impact of AI use on knowledge and expertise
* Design approaches combining human-machine capabilities to
elevate performance
* Paradoxical effects of algorithmic technologies
* Embedding smart machines into products, services, strategies,
cultures and behaviors
Rationale for the JAIS-MISQE Joint Special issue
A major mission of the information systems discipline is to
produce knowledge that is both academically rigorous and
applicable to IS managers. To bridge the research-practice divide,
the editors and guest-editors of this joint MISQ Executive and the
Journal of the Association of Information Systems special issue,
offer IS scholars a unique opportunity to develop both a
theoretical contribution (targeted at JAIS) and practical
implications (targeted at MISQE) on the topic of Artificial
Intelligence in Work and Organizations.
To be considered for the joint SI, authors are invited to use the
same cases or data sets to develop two papers: a theoretical
contribution for JAIS and a practical contribution for MISQE. The
special issue is open to any type of research and methodological
approach and encourages innovative research methods and designs
that allow both rigor and relevance into this phenomenon.
There will be opportunity for interested authors to discuss their
research plans with members of the editorial team of the special
issue at the pre-ICIS 2019 workshop in Munich. Participation in
this event is highly recommended and requires sending an email
with an extended abstract of the research to one of the editors by
September 1st 2019. This summary should include: key phenomena and
research question, methods and case material, plan for the JAIS
submission (e.g. theoretical and conceptual framing and expected
contributions), plan for the MISQE submission (e.g., conceptual
framework, unique insights and lessons learned). Logistical
details regarding location and timing for the Munich session will
be provided to the participants in due course. While submission to
the workshop is not a requirement, prospective authors are
encouraged to send their extended abstracts to the Special Issue
editors for development feedback before submission.
Deadlines
* Extended Abstracts submission for the joint JAIS-MISQE SI-
September 1, 2019 (Pre-ICIS workshop)
MISQE
* MISQE full paper submission deadline – March 1, 2020
* First editorial review sent to authors – May 1, 2020
* Paper resubmission based on editor feedback deadline – July 1,
2020
* Second editorial review, decision and suggestions to authors –
August 1, 2020
* Final submission of accepted papers deadline – September 15,
2020
* MISQE publication – December 2020
JAIS
* JAIS full paper submission deadline – February 1, 2020
* First editorial review sent to authors – April 1, 2020
* Paper resubmission based on editor feedback deadline – June 1,
2020
* Second editorial review, decision and suggestions to authors –
July 15, 2020
* Final submission of accepted papers deadline – October 1, 2020
* JAIS publication – December 2020
For more information:
Joint SI website with guidelines and Q&A:
https://jaismisqeartificialintelligence.home.blog/call-for-papers-jais-misqe-joint-si-on-artifical-intelligence-in-organizations/
JAIS website:
https://aisel.aisnet.org/jais/
MISQE website:
https://aisel.aisnet.org/misqe/
--
Stella Pachidi
Lecturer in Information Systems
Judge Business School, University of Cambridge
Trumpington Street, CB2 1AG, Cambridge, UK
E-mail:
s.pachidi@jbs.cam.ac.uk<mailto:s.pachidi@jbs.cam.ac.uk>
Tel: +44 1223 766923
_______________________________________________
AISWorld mailing list
AISWorld@lists.aisnet.org