Short answer

For successful and beneficial adoption of AI and robotics in commercial production, design and implementation strategies must integrate considerations for regional support systems and proactive employee engagement.

Field
Commercial Production
Source
Zenodo (CERN European Organization for Nuclear Research) (2023)
Method
Empirical study using primary data collection.
Sample
1012 organisations
Evidence
Strong effect

UK firms are more likely to experience positive outcomes, including job creation and improved job quality, from adopting AI and robotics when their regional environment is innovation-ready and when employees are actively involved in the adoption process. This commercial production research insight is drawn from a 2023 study published in Zenodo (CERN European Organization for Nuclear Research). Using Empirical study using primary data collection. with 1012 organisations, researchers explored how this design variable affects real-world outcomes. The key design takeaway: For successful and beneficial adoption of AI and robotics in commercial production, design and implementation strategies must integrate considerations for regional support systems and proactive employee engagement.

Study
Commercial ProductionRecentStrong effect

AI and Robotics Adoption Boosts UK Firm Performance When Supported by Regional Readiness and Employee Involvement

UK firms are more likely to experience positive outcomes, including job creation and improved job quality, from adopting AI and robotics when their regional environment is innovation-ready and when employees are actively involved in the adoption process.

Zenodo (CERN European Organization for Nuclear Research) · 2023

01

Key Findings

  • 01Regional Innovation Readiness (availability of educated workforce and connectivity infrastructure) significantly influences positive and negative outcomes from AI adoption.
  • 02High Involvement HRM (employee involvement in adoption) also plays a significant role in moderating the impact of AI on net job creation, skills demand, and job quality.
  • 03Decision-maker perceptions of AI are influenced by organizational and environmental factors, mediating the adoption process.
02

Application

Design takeaway

For successful and beneficial adoption of AI and robotics in commercial production, design and implementation strategies must integrate considerations for regional support systems and proactive employee engagement.

How to apply

When proposing or implementing AI/robotics solutions, assess the 'innovation readiness' of the target region and plan for robust employee involvement programs.

Project actions

  • 01When researching technology adoption, consider both the technical aspects and the socio-economic environment.
  • 02Explore how human factors, like employee involvement, can influence the success of technological implementations.
03

Method & Evidence

AimTo investigate the factors that drive UK firms to adopt AI and robotics, and to understand the consequences for job creation, skills demand, and job quality, considering the moderating effects of regional innovation readiness and high-involvement human resource management.
MethodEmpirical study using primary data collection.
ProcedureData was collected from 1012 organizations across various UK economic sectors to test hypotheses regarding factors influencing decision-maker perceptions of AI and its impact on job outcomes, moderated by regional innovation readiness and high-involvement HRM.
Sample1012 organisations
ContextUK economy, across all sectors.

Variables

IV["Adoption of AI and robotics","Regional Innovation Readiness","High Involvement HRM"]
DV["Net job creation","Skills demand","Job quality"]
CV["Sector of the UK economy","Organizational size","Decision-maker perceptions of AI"]
04

Strengths & Limitations

Strengths

  • +Large sample size across diverse sectors.
  • +Investigates both drivers and consequences of technology adoption.

Limitations

The study's findings are specific to the UK context and may not apply universally. The data relies on perceptions, which can be subjective.

Reliability & validity

The study's reliance on primary data from a large sample across sectors enhances its reliability. Validity is supported by theoretical grounding in technology adoption theories and the examination of moderating factors.

Think critically

How might the 'Regional Innovation Readiness' and 'High Involvement HRM' factors differ across various industries or company sizes, and how would this impact the adoption of AI and robotics?

05

Design Principles

"Technological adoption outcomes are significantly shaped by the synergy between the external environment and internal organizational practices."

This research highlights that the successful integration of advanced technologies like AI and robotics into commercial production is not solely dependent on the technology itself. It underscores the critical role of the surrounding ecosystem and internal organizational practices in determining whether these technologies lead to net job growth and enhanced job quality, rather than displacement.

06

What This Means for Your Design

If a company wants to use new technology like AI or robots and wants it to create jobs and make work better, it helps a lot if the area where the company is located has good schools and internet, and if the company asks its workers for their ideas and helps them learn new skills.

How to use in your project

  • 1.Reference this study when discussing the broader impact of technological choices on employment and the importance of considering external factors in design decisions.
07

Add to My Project

08

Quick Cite

Paragraph starter

Research indicates that the successful integration of AI and robotics in commercial production is significantly influenced by external factors such as regional innovation readiness (e.g., skilled workforce, connectivity) and internal organizational strategies like High Involvement Human Resource Management, which involves employees in the adoption process. These factors can moderate the impact of technology on job creation and quality, suggesting that a holistic approach is necessary for beneficial technological advancement.

09

Source

Zenodo (CERN European Organization for Nuclear Research)

What drives UK firms to adopt AI and robotics, and what are the consequences for jobs?

journal · 2023

View source

Questions About This Research

What does the research say about ai and robotics adoption boosts uk firm performance when supported by regional readiness and employee involvement?
For successful and beneficial adoption of AI and robotics in commercial production, design and implementation strategies must integrate considerations for regional support systems and proactive employee engagement. Evidence: Zenodo (CERN European Organization for Nuclear Research) (2023).
Why does "AI and Robotics Adoption Boosts UK Firm Performance When Supported by Regional Readiness and Employee Involvement" matter for design?
This research highlights that the successful integration of advanced technologies like AI and robotics into commercial production is not solely dependent on the technology itself. It underscores the critical role of the surrounding ecosystem and internal organizational practices in determining whether these technologies lead to net job growth and enhanced job quality, rather than displacement.
How can designers apply this research?
For successful and beneficial adoption of AI and robotics in commercial production, design and implementation strategies must integrate considerations for regional support systems and proactive employee engagement.
What were the main findings?
Regional Innovation Readiness (availability of educated workforce and connectivity infrastructure) significantly influences positive and negative outcomes from AI adoption.. High Involvement HRM (employee involvement in adoption) also plays a significant role in moderating the impact of AI on net job creation, skills demand, and job quality.. Decision-maker perceptions of AI are influenced by organizational and environmental factors, mediating the adoption process.
What research method was used?
Empirical study using primary data collection. with 1012 organisations.
How strong is the evidence?
Evidence strength is rated Strong effect, based on a 2023 journal from Zenodo (CERN European Organization for Nuclear Research).
What should I do differently in my next project?
When proposing or implementing AI/robotics solutions, assess the 'innovation readiness' of the target region and plan for robust employee involvement programs.
What are the limitations?
The study focuses on UK firms, and findings may not be directly generalizable to other national or economic contexts. Perceptions of AI by decision-makers were a key mediating factor, which can be subjective.