4.4 Article

Effective human-AI work design for collaborative decision-making

Related references

Note: Only part of the references are listed.
Review Operations Research & Management Science

Understanding artificial intelligence adoption in operations management: insights from the review of academic literature and social media discussions

Purva Grover et al.

Summary: This study explores the feasibility of AI utilization in different elements of operations management and provides guidelines for managers based on the collective intelligence of experts on Twitter and academic literature.

ANNALS OF OPERATIONS RESEARCH (2022)

Review Business

What influences algorithmic decision-making? A systematic literature review on algorithm aversion

Hasan Mahmud et al.

Summary: This study synthesizes 80 empirical studies to identify the influencing factors of algorithm aversion. The findings reveal that while algorithm and individual factors have been extensively researched, little attention has been given to exploring task and high-level factors. The study contributes to the literature on algorithm aversion by proposing a comprehensive framework and highlighting areas for future research that could guide developers and managers in the use of algorithmic decision-making.

TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE (2022)

Article Psychology, Social

Human-Algorithm Collaboration Works Best if Humans Lead (Because it is Fair!)

David De Cremer et al.

Summary: Humans tend to consider collaboration with autonomous algorithms as unfair and they are willing to pay a high financial cost to avoid algorithm-led decision-making. People prefer a 60-40% human-algorithm partnership rather than excluding algorithms entirely.

SOCIAL JUSTICE RESEARCH (2022)

Article Computer Science, Cybernetics

Transitioning to Human Interaction with AI Systems: New Challenges and Opportunities for HCI Professionals to Enable Human-Centered AI

Wei Xu et al.

Summary: While AI can benefit humans, it can also harm them if not properly developed. The focus of current HCI work should shift towards interaction with AI systems. A review and analysis of current work in developing AI systems from an HCI perspective were conducted, highlighting the challenges faced by HCI professionals in applying the HCAI approach. New issues in human interaction with AI systems were identified, and opportunities for HCI professionals to address these issues were proposed. Alternative methods were suggested to overcome the limitations of current HCI methods in developing HCAI systems, along with strategic recommendations for influencing the development of AI systems with the HCAI approach.

INTERNATIONAL JOURNAL OF HUMAN-COMPUTER INTERACTION (2022)

Article Business

AI-employee collaboration and business performance: Integrating knowledge-based view, socio-technical systems and organisational socialisation framework

Soumyadeb Chowdhury et al.

Summary: This paper addresses the lack of research insights on the factors influencing AI-human partnership and its impact on business performance. By drawing on the knowledge-based view, socio-technical systems, and organisational socialisation framework, the study examines the relationships between knowledge sharing, employees' AI skills, trust, and role clarity in a collaborative working environment. The findings provide evidence and strategies for developing collaborative intelligence capabilities within organizations.

JOURNAL OF BUSINESS RESEARCH (2022)

Article Psychology, Applied

Automation, Algorithms, and Beyond: Why Work Design Matters More Than Ever in a Digital World

Sharon K. Parker et al.

Summary: Work design plays a central role in understanding the effects of digital technologies, which can have both positive and negative impacts on job resources and demands, leading to consequences for employee well-being, safety, and performance. We propose four intervention strategies to address this issue.

APPLIED PSYCHOLOGY-AN INTERNATIONAL REVIEW-PSYCHOLOGIE APPLIQUEE-REVUE INTERNATIONALE (2022)

Article Business

HUMANS AND TECHNOLOGY: FORMS OF CONJOINED AGENCY IN ORGANIZATIONS

Alex Murray et al.

Summary: This article categorizes the different forms of conjoined agency between humans and technologies in organizations and theorizes on their impact on routines and feedback responsiveness. It elaborates on the diverse ways organizations may evolve based on the form(s) of conjoined agency they deploy in their organizational design choices.

ACADEMY OF MANAGEMENT REVIEW (2021)

Article Business

Decision augmentation and automation with artificial intelligence: Threat or opportunity for managers?

Michael Leyer et al.

Summary: This article discusses the application of artificial intelligence in managerial decision-making, outlining different ways organizations can use AI decision support systems and the impact of these methods on managers. The research outcomes offer practical advice for organizational designers and managers to address the conflicting relationship between managers and technology.

BUSINESS HORIZONS (2021)

Article Computer Science, Cybernetics

AI-driven platform enterprise maturity: from human led to machine governed

Sergey Yablonsky

Summary: The paper introduces the importance of AI maturity model for AI-driven platform companies, proposing a new five level AI-driven platform enterprise maturity framework that explains a wide range of phenomena related to AI-driven platform enterprises. The study emphasizes the clear description and structuring of information in the multidimensional platform, AI, advanced analytics, and big data domains.

KYBERNETES (2021)

Article Business

Human-AI collaborative decision-making as an organization design problem

Phanish Puranam

Summary: The promise of collaboration between humans and algorithms in producing good decisions is prompting various experiments. Drawing on research in organization design can help approach these experiments systematically. Typologies for different forms of division of labor between humans and algorithms, as well as their learning configurations, are proposed as basic building blocks for this endeavor.

JOURNAL OF ORGANIZATION DESIGN (2021)

Article Business

Cobots in knowledge work Human - AI collaboration in managerial professions

Konrad Sowa et al.

Summary: This research explores the collaboration between human workers and AI in managerial tasks to increase productivity. The results confirm that enhanced human-AI collaboration boosts productivity in knowledge work, emphasizing the importance of collaborative approaches rather than full automation in the future.

JOURNAL OF BUSINESS RESEARCH (2021)

Article Management

Job quality, fair work and gig work: the lived experience of gig workers

Katie Myhill et al.

Summary: This article discusses gig work by applying the concept of job quality associated with Scotland's Fair Work Convention, highlighting the multidimensionality of job quality and the divide between objective and subjective approaches. Despite a deficit in objective characteristics of Fair Work, subjective experiences vary between platforms and individual workers. The growth of gig work reflects the normalization of poor working conditions in the past, highlighting limitations in theoretical models of job quality that emphasize traditional employment.

INTERNATIONAL JOURNAL OF HUMAN RESOURCE MANAGEMENT (2021)

Article Psychology, Multidisciplinary

Attachment and trust in artificial intelligence

Omri Gillath et al.

Summary: The study shows an association between attachment style and trust in AI, with attachment security increasing trust while attachment anxiety decreasing it. Exposure to attachment security cues can also increase trust in AI.

COMPUTERS IN HUMAN BEHAVIOR (2021)

Article Management

Pacifying the algorithm - Anticipatory compliance in the face of algorithmic management in the gig economy

Eliane Leontine Bucher et al.

Summary: The research investigates the practices of digital freelancers to comply with assumed mechanisms of algorithmic management, showing how workers adopt direct and indirect anticipatory compliance practices to ensure their continued participation on the platform.

ORGANIZATION (2021)

Article Business

Changing the means of managerial work: effects of automated decision support systems on personnel selection tasks

Markus Langer et al.

Summary: This study explores how different versions of automated decision support systems for personnel selection impact decision task performance, time to reach a decision, reactions to the task, and self-efficacy in personnel selection. Results suggest that receiving rankings after processing applicant information led to higher decision satisfaction and increased self-efficacy in personnel selection.

JOURNAL OF BUSINESS AND PSYCHOLOGY (2021)

Article Computer Science, Information Systems

Machines as teammates: A research agenda on AI in team collaboration

Isabella Seeber et al.

INFORMATION & MANAGEMENT (2020)

Article Computer Science, Cybernetics

Human-Centered Artificial Intelligence: Reliable, Safe & Trustworthy

Ben Shneiderman

INTERNATIONAL JOURNAL OF HUMAN-COMPUTER INTERACTION (2020)

Article Computer Science, Cybernetics

Understanding human-robot teams in light of all-human teams: Aspects of team interaction and shared cognition

Mustafa Demir et al.

INTERNATIONAL JOURNAL OF HUMAN-COMPUTER STUDIES (2020)

Proceedings Paper Computer Science, Artificial Intelligence

Mitigating Bias in Algorithmic Hiring: Evaluating Claims and Practices

Manish Raghavan et al.

FAT* '20: PROCEEDINGS OF THE 2020 CONFERENCE ON FAIRNESS, ACCOUNTABILITY, AND TRANSPARENCY (2020)

Review Business

HUMAN TRUST IN ARTIFICIAL INTELLIGENCE: REVIEW OF EMPIRICAL RESEARCH

Ella Glikson et al.

ACADEMY OF MANAGEMENT ANNALS (2020)

Review Psychology, Applied

A systematic review of algorithm aversion in augmented decision making

Jason W. Burton et al.

JOURNAL OF BEHAVIORAL DECISION MAKING (2020)

Review Industrial Relations & Labor

Algorithmic management and app-work in the gig economy: A research agenda for employment relations and HRM

James Duggan et al.

HUMAN RESOURCE MANAGEMENT JOURNAL (2020)

Article Business

How artificial intelligence will change the future of marketing

Thomas Davenport et al.

JOURNAL OF THE ACADEMY OF MARKETING SCIENCE (2020)

Article Business

ALGORITHMS AT WORK: THE NEW CONTESTED TERRAIN OF CONTROL

Katherine C. Kellogg et al.

ACADEMY OF MANAGEMENT ANNALS (2020)

Article Multidisciplinary Sciences

How to communicate large-scale social challenges: The problem of the disappearing American corporation

Gerald F. Davis

PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2019)

Proceedings Paper Computer Science, Theory & Methods

From Soft Classifiers to Hard Decisions: How fair can we be?

Ran Canetti et al.

FAT*'19: PROCEEDINGS OF THE 2019 CONFERENCE ON FAIRNESS, ACCOUNTABILITY, AND TRANSPARENCY (2019)

Article Psychology, Applied

Algorithm appreciation: People prefer algorithmic to human judgment

Jennifer M. Logg et al.

ORGANIZATIONAL BEHAVIOR AND HUMAN DECISION PROCESSES (2019)

Proceedings Paper Computer Science, Artificial Intelligence

Swarm Intelligence Amplifies the IQ of Collaborating Teams

Gregg Willcox et al.

2019 SECOND INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE FOR INDUSTRIES (AI4I 2019) (2019)

Article Business

The Feeling Economy: Managing in the Next Generation of Artificial Intelligence (AI)

Ming-Hui Huang et al.

CALIFORNIA MANAGEMENT REVIEW (2019)

Article Business

Organizational Decision-Making Structures in the Age of Artificial Intelligence

Yash Raj Shrestha et al.

CALIFORNIA MANAGEMENT REVIEW (2019)

Editorial Material Business

Substitute or Synthesis? The Interplay between Human and Artificial Intelligence

Ulrich Lichtenthaler

RESEARCH-TECHNOLOGY MANAGEMENT (2018)

Article Computer Science, Information Systems

Peeking Inside the Black-Box: A Survey on Explainable Artificial Intelligence (XAI)

Amina Adadi et al.

IEEE ACCESS (2018)

Article Psychology, Experimental

People are averse to machines making moral decisions

Yochanan E. Bigman et al.

COGNITION (2018)

Article Health Care Sciences & Services

Principles of Automation for Patient Safety in Intensive Care: Learning From Aviation

Jason Dominiczak et al.

JOINT COMMISSION JOURNAL ON QUALITY AND PATIENT SAFETY (2018)

Proceedings Paper Economics

What Can Machines Learn and What Does It Mean for Occupations and the Economy?

Erik Brynjolfsson et al.

AEA PAPERS AND PROCEEDINGS (2018)

Article Business

Artificial Intelligence in Service

Ming-Hui Huang et al.

JOURNAL OF SERVICE RESEARCH (2018)

Article Management

Brave new world: service robots in the frontline

Jochen Wirtz et al.

JOURNAL OF SERVICE MANAGEMENT (2018)

Article Behavioral Sciences

From Here to Autonomy: Lessons Learned From Human-Automation Research

Mica R. Endsley

HUMAN FACTORS (2017)

Article Multidisciplinary Sciences

Locally noisy autonomous agents improve global human coordination in network experiments

Hirokazu Shirado et al.

NATURE (2017)

Article Economics

Understanding algorithm aversion: When is advice from automation discounted?

Andrew Prahl et al.

JOURNAL OF FORECASTING (2017)

Article Management

Why your stigma isn't hired: A dual-process framework of interview bias

Eva Derous et al.

HUMAN RESOURCE MANAGEMENT REVIEW (2016)

Article Psychology, Applied

Rise of the Machines: A Critical Consideration of Automated Leadership Decision Making in Organizations

Ken Parry et al.

GROUP & ORGANIZATION MANAGEMENT (2016)

Article Psychology, Applied

Job design research and theory: Past, present and future

Greg R. Oldham et al.

ORGANIZATIONAL BEHAVIOR AND HUMAN DECISION PROCESSES (2016)

Article Computer Science, Information Systems

Strategic opportunities (and challenges) of algorithmic decision-making: A call for action on the long-term societal effects of 'datification'

Sue Newell et al.

JOURNAL OF STRATEGIC INFORMATION SYSTEMS (2015)

Review Behavioral Sciences

Trust in Automation: Integrating Empirical Evidence on Factors That Influence Trust

Kevin Anthony Hoff et al.

HUMAN FACTORS (2015)

Article Psychology, Experimental

Algorithm Aversion: People Erroneously Avoid Algorithms After Seeing Them Err

Berkeley J. Dietvorst et al.

JOURNAL OF EXPERIMENTAL PSYCHOLOGY-GENERAL (2015)

Article Computer Science, Cybernetics

A framework for explaining reliance on decision aids

Kees van Dongen et al.

INTERNATIONAL JOURNAL OF HUMAN-COMPUTER STUDIES (2013)

Article Social Sciences, Interdisciplinary

Psychometrically and qualitatively validating a cross-national cumulative measure of fear-based xenophobia

Kees van der Veer et al.

QUALITY & QUANTITY (2013)

Article Psychology, Applied

Mechanical Versus Clinical Data Combination in Selection and Admissions Decisions: A Meta-Analysis

Nathan R. Kuncel et al.

JOURNAL OF APPLIED PSYCHOLOGY (2013)

Article Psychology, Experimental

Interactive Team Cognition

Nancy J. Cooke et al.

COGNITIVE SCIENCE (2013)

Review Computer Science, Artificial Intelligence

Ensemble-based classifiers

Lior Rokach

ARTIFICIAL INTELLIGENCE REVIEW (2010)

Article Psychology, Applied

The Relative Influence of Advice From Human Experts and Statistical Methods on Forecast Adjustments

Dilek Onkal et al.

JOURNAL OF BEHAVIORAL DECISION MAKING (2009)

Article Computer Science, Information Systems

The biggest computer programme in the world ... ever!': time for a change in mindset?

Chris Clegg et al.

JOURNAL OF INFORMATION TECHNOLOGY (2007)

Article Health Care Sciences & Services

Patients derogate physicians who use a computer-assisted diagnostic aid

Hal R. Arkes et al.

MEDICAL DECISION MAKING (2007)

Review Ergonomics

Similarities and differences between human-human and human-automation trust: an integrative review

P. Madhavan et al.

THEORETICAL ISSUES IN ERGONOMICS SCIENCE (2007)

Article Psychology, Applied

Trust, confidence, and expertise in a Judge-Advisor System

JA Sniezek et al.

ORGANIZATIONAL BEHAVIOR AND HUMAN DECISION PROCESSES (2001)