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Supply Network 5.0 Human Automation Machine Collaboration
This chapter examines the implications of extending the concept of industry 5.0 from single organizations to supply networks. It analyzes the first... -
Human–machine knowledge hybrid augmentation method for surface defect detection based few-data learning
Visual-based defect detection is a crucial but challenging task in industrial quality control. Most mainstream methods rely on large amounts of...
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Beyond Algorithm Aversion in Human-Machine Decision-Making
A longstanding finding in the judgment and decision-making literature is that human decision performance can be improved with the help of a... -
Consumer responses to human-AI collaboration at organizational frontlines: strategies to escape algorithm aversion in content creation
Although Artificial Intelligence can offer significant business benefits, many consumers have negative perceptions of AI, leading to negative...
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Supply Chain Collaboration for Sustainability
In this chapter, we highlight the crucial role of collaboration within supply chains to collectively address sustainability challenges.... -
Safe human–robot collaboration for industrial settings: a survey
Human–robot collaboration (HRC) plays a pivotal role in today’s industry by supporting increasingly customised product development. Via HRC, the...
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Designing Transparency for Effective Human-AI Collaboration
The field of artificial intelligence (AI) is advancing quickly, and systems can increasingly perform a multitude of tasks that previously required...
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Relational network of innovation ecosystems generated by digital innovation hubs: a conceptual framework for the interaction processes of DIHs from the perspective of collaboration within and between their relationship levels
Collaboration plays a key role in the success attained to date by networks of innovation ecosystems generated around entities known as Digital...
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Governing public heritage assets with civil society: exploring the typologies of collaboration by the dominant actor
This paper addresses the societal challenge of sustainably managing cultural heritage, a topic of great relevance for the sustainability of societies...
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How to Design Human–Machine Interaction in Next-Generation Supply Chain Planning
Decision support systems for supply chain planning have been supporting planners over decades to improve their decision-making in many different... -
Self-improving situation awareness for human–robot-collaboration using intelligent Digital Twin
The situation awareness, especially for collaborative robots, plays a crucial role when humans and machines work together in a human-centered,...
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A reference framework for the digital twin smart factory based on cloud-fog-edge computing collaboration
Digital twin (DT) is an important approach for the factory to achieve intelligence. Due to the different scenarios and definitions, the...
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Task allocation model for human-robot collaboration with variable cobot speed
New technologies, such as collaborative robots, are an option to improve productivity and flexibility in assembly systems. Task allocation is...
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Elaborating Team Roles for Artificial Intelligence-based Teammates in Human-AI Collaboration
The increasing importance of artificial intelligence (AI) in everyday work also means that new insights into team collaboration must be gained. It is...
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Human-machine collaboration in online customer service – a long-term feedback-based approach
The rising expectations of customers have considerably contributed to the need for automated approaches supporting employees in online customer...
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How Digital Shadows, New Forms of Human-Machine Collaboration, and Data-Driven Business Models Are Driving the Future of Industry 4.0: A Delphi Study
Transferring the idea of the Internet to the manufacturing landscape—the Internet of Production (IoP)—fundamentally changes our understanding of how... -
Antecedents, processes and outcomes of collaboration between corporates and start-ups
Collaboration between corporations and sart-ups can dramatically accelerate respective actor’s innovation process. Previous research on this...
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Artificial Intelligence and Decision-Making: Human–Machine Interactions for Successful Value Co-creation
The chapter answers the question of what elements should be taken into account for successful value co-creation due to human–machine interactions in...