About this Research Topic
To improve productivity and efficiency the manufacturing sector has regularly looked to evolve its systems and embrace new technologies. More recently the pace of change has intensified as we see the emergence of digital technologies such as artificial intelligence, digital twins, advanced analytics, cobotics, and smart manufacturing. Learning from past challenges, particularly in the 1980s when the adoption of robotics faced obstacles due to insufficient consideration of human factors, centres like the Made Smarter Innovation: Centre for People-Led Digitalisation have recognised the important role that people play in the adoption and acceptance of new technologies.
Although digital technologies have the promise of creating significant economic, environmental and societal benefits, they also have the potential to substantially alter the future of work – the jobs people do and how people work. We are at currently at a crucial decision point – what do we want the future of work to look like?
Taking a people-led approach to digitalisation aims at improving the outcome of the adoption of digital technologies. This is achieved through prior explicit consideration and planned appropriate action that prioritises human needs and working patterns in the design and implementation of digitalised work systems.
We seek to publish innovative research which explores the human element of digitalisation, be that in the design of digital technologies or the implementation of digital technologies within a manufacturing environment.
We welcome original research, reviews, impact and industrial case studies, from the perspective of improving manufacturing performance such as (but not limited to); increased productivity, reduction in environmental impacts, re-imagining manufacturing jobs, people-led digital change. The following top-level themes should be used as a basis:
• The future of work in manufacturing to 2030 and beyond,
• Stakeholder engagement in digital change,
• Digital skills,
• Industrial Digital Tools for good work,
• Metrics of success in digitalisation projects,
• Enablers and barriers to the adoption of digital technologies,
• Readiness for digital change,
• People-led approach to design of digital technologies.
Although digital technologies have the promise of creating significant economic, environmental and societal benefits, they also have the potential to substantially alter the future of work – the jobs people do and how people work. We are at currently at a crucial decision point – what do we want the future of work to look like?
Taking a people-led approach to digitalisation aims at improving the outcome of the adoption of digital technologies. This is achieved through prior explicit consideration and planned appropriate action that prioritises human needs and working patterns in the design and implementation of digitalised work systems.
We seek to publish innovative research which explores the human element of digitalisation, be that in the design of digital technologies or the implementation of digital technologies within a manufacturing environment.
We welcome original research, reviews, impact and industrial case studies, from the perspective of improving manufacturing performance such as (but not limited to); increased productivity, reduction in environmental impacts, re-imagining manufacturing jobs, people-led digital change. The following top-level themes should be used as a basis:
• The future of work in manufacturing to 2030 and beyond,
• Stakeholder engagement in digital change,
• Digital skills,
• Industrial Digital Tools for good work,
• Metrics of success in digitalisation projects,
• Enablers and barriers to the adoption of digital technologies,
• Readiness for digital change,
• People-led approach to design of digital technologies.
Keywords: Digitalisation
Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.
