About this Research Topic
Since the past decade, with the establishment of Industry 4.0 and the current advancement towards Industry 5.0, today's way of working has increasingly shifted towards a robust integration of human-technology interactions and/or collaborations. More specifically, the emphasis of Industry 5.0 on human-centric automation and sustainability has brought a new dimension to these interactions, intertwining human well-being with technological advancements and environmental consciousness. These interactions and/or collaborations not only are changing how professionals and workers perceive their jobs, their decision-making power, and their identity and role in the workplace but also have important consequences on individuals’ well-being and, ultimately, their performance. Consequently, the human-technology interaction, in its more comprehensive sense, has acquired significant relevance in organizational literature and poses various questions that deserve research attention.
Hence, the main goal of this Research Topic is to investigate not only how human-technology interactions are formed and emerge through individuals’ sense-making and sense-breaking processes but also their numerous affective, behavioural, and cognitive consequences at the individual, team, and organizational levels (and/or the combination of them). Additionally, it aims to explore how the principles of sustainability integrate into these dynamics, influencing the creation of environmentally responsible and socially aware organizational practices and technologies. Interesting questions include: What is needed to guarantee people's adaptation to digital transformation concerning employee performance and well-being? How do human-AI teams function effectively in different organizational settings? How does the commitment to sustainability influence the development and implementation of AI and machine learning solutions in various industries? How do people perceive the introduction of AI or machine learning in their profession and/or occupation, positively or negatively? To what extent is this perception influenced by (national and organizational) cultural logics? How can organizations align their Industry 5.0 initiatives with sustainable development goals? What are the implications of Industry 5.0 changes for upskilling and reskilling initiatives? How do behavioural adaptations and safety considerations evolve in the context of advanced human-technology collaborations?
Authors are invited to submit their work related to, but certainly not limited to, the following list of topics:
Perception of AI/machine learning/technology in both professional and occupational settings and consequences on well-being, (job) flourishing, thriving, etc., in the work context
Emotional, psychological, motivational, and behavioural processes/mechanisms at different levels related to human-technology interactions in Industry 4.0 and Industry 5.0
Prediction of human intent, organization, and management of human-technology collaboration
Ethical considerations, human values, and social impact in AI and automation within Industry 5.0 frameworks
Sustainable and Environmental Practices in human-technology Interactions of Industry 5.0 Innovations
Adaptive performance, strategies, and digital implementation/transformation to Industry 5.0-based work environments
This Research Topic welcomes qualitative and quantitative empirical studies. It will also consider systematic literature reviews and meta-analyses. Longitudinal, experimental, and quasi-experimental studies are particularly welcome; cross-sectional studies are likewise welcome when due considerations to common method biases are well addressed and/or tackled.
Hence, the main goal of this Research Topic is to investigate not only how human-technology interactions are formed and emerge through individuals’ sense-making and sense-breaking processes but also their numerous affective, behavioural, and cognitive consequences at the individual, team, and organizational levels (and/or the combination of them). Additionally, it aims to explore how the principles of sustainability integrate into these dynamics, influencing the creation of environmentally responsible and socially aware organizational practices and technologies. Interesting questions include: What is needed to guarantee people's adaptation to digital transformation concerning employee performance and well-being? How do human-AI teams function effectively in different organizational settings? How does the commitment to sustainability influence the development and implementation of AI and machine learning solutions in various industries? How do people perceive the introduction of AI or machine learning in their profession and/or occupation, positively or negatively? To what extent is this perception influenced by (national and organizational) cultural logics? How can organizations align their Industry 5.0 initiatives with sustainable development goals? What are the implications of Industry 5.0 changes for upskilling and reskilling initiatives? How do behavioural adaptations and safety considerations evolve in the context of advanced human-technology collaborations?
Authors are invited to submit their work related to, but certainly not limited to, the following list of topics:
Perception of AI/machine learning/technology in both professional and occupational settings and consequences on well-being, (job) flourishing, thriving, etc., in the work context
Emotional, psychological, motivational, and behavioural processes/mechanisms at different levels related to human-technology interactions in Industry 4.0 and Industry 5.0
Prediction of human intent, organization, and management of human-technology collaboration
Ethical considerations, human values, and social impact in AI and automation within Industry 5.0 frameworks
Sustainable and Environmental Practices in human-technology Interactions of Industry 5.0 Innovations
Adaptive performance, strategies, and digital implementation/transformation to Industry 5.0-based work environments
This Research Topic welcomes qualitative and quantitative empirical studies. It will also consider systematic literature reviews and meta-analyses. Longitudinal, experimental, and quasi-experimental studies are particularly welcome; cross-sectional studies are likewise welcome when due considerations to common method biases are well addressed and/or tackled.
Keywords: Human-technology Interaction, Digital (Organizational) Transformation, Industry 4.0 and 5.0, Sustainability, Ethics
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.
