Challenges of human—machine collaboration in risky decision-making

W Xiong, H Fan, L Ma, C Wang - Frontiers of Engineering Management, 2022 - Springer
The purpose of this paper is to delineate the research challenges of human—machine
collaboration in risky decision-making. Technological advances in machine intelligence …

Recent advances in artificial intelligence and tactical autonomy: Current status, challenges, and perspectives

DH Hagos, DB Rawat - Sensors, 2022 - mdpi.com
This paper presents the findings of detailed and comprehensive technical literature aimed at
identifying the current and future research challenges of tactical autonomy. It discusses in …

Artificial intelligence (AI)-assisted HRM: Towards an extended strategic framework

A Malik, P Budhwar, BA Kazmi - Human Resource Management Review, 2023 - Elsevier
Artificial intelligence (AI) affects human resource management (HRM), and in so doing, it is
transforming the nature of work, workers and workplaces. While AI-assisted HRM is …

From natural language to simulations: applying AI to automate simulation modelling of logistics systems

I Jackson, M Jesus Saenz, D Ivanov - International Journal of …, 2024 - Taylor & Francis
Our research strives to examine how simulation models of logistics systems can be
produced automatically from verbal descriptions in natural language and how human …

Managerial overreliance on AI-augmented decision-making processes: How the use of AI-based advisory systems shapes choice behavior in R&D investment …

C Keding, P Meissner - Technological Forecasting and Social Change, 2021 - Elsevier
AI-augmented decision-making processes promise to transform strategic decisions around
innovation management. However, despite a growing body of research on algorithmic …

The impact of artificial intelligence on firm performance: an application of the resource-based view to e-commerce firms

D Chen, JP Esperança, S Wang - Frontiers in Psychology, 2022 - frontiersin.org
The application of artificial intelligence (AI) technology has evolved into an influential
endeavor to improve firm performance, but little research considers the relationship among …

An agile new research framework for hybrid human-AI teaming: Trust, transparency, and transferability

S Caldwell, P Sweetser, N O'donnell… - ACM Transactions on …, 2022 - dl.acm.org
We propose a new research framework by which the nascent discipline of human-AI
teaming can be explored within experimental environments in preparation for transferal to …

Integrating intuition and artificial intelligence in organizational decision-making

VU Vincent - Business Horizons, 2021 - Elsevier
Artificial intelligence (AI) is fundamentally changing organizational decision-making
processes. With the abilities to self-learn and to improve decision quality, AI is now taking …

[HTML][HTML] Collaboration with machines in B2B marketing: Overcoming managers' aversion to AI-CRM with explainability

P Gaczek, G Leszczyński, A Mouakher - Industrial Marketing Management, 2023 - Elsevier
This paper links negative emotions to AI and examines their influence on aversion to
collaborating with AI in customer relationship management. It aims to understand working …

Integrating AI in organizations for value creation through Human-AI teaming: A dynamic-capabilities approach

C Simón, E Revilla, MJ Sáenz - Journal of Business Research, 2024 - Elsevier
Although the potentialities of artificial intelligence (AI) are motivating its fast integration in
organizations, our knowledge on how to capture organizational value out of these …