The Impact of Industry 4.0 on Employees—Insights from Australia
Abstract
:1. Introduction
2. State-of-the-Art
3. Materials and Methods
- Manufacturing & service company (end user of I4.0 technologies)—Magnificent Pty Ltd. (Wamuran, QLD, Australia).
- Research hub (supporters of I4.0)—ARC Research Hub.
- Public university—Griffith University.
4. Results
4.1. Current and Future Impacts of Industry 4.0 on Employees, Operations and Operations Strategies
4.1.1. Magnificent Pty Ltd.
- The company should very precisely define the problem it wants to solve. To this purpose, it is necessary to specify the company’s expectations and requirements, specify its needs.
- The company should familiarize with the technologies and solutions available on the market. It is very important that the chosen solution is able to solve the problem and also it is cost-effective. It is also worth determining the level of difficulty in implementing a given solution. Does the company have adequate technical infrastructure, workers etc.?
- The functioning of the solution should be verified, but not only in laboratory conditions, but also in the natural environment. Very often test solutions (e.g., pilots) work in artificial conditions, but the true challenge is functioning in real work. The technology should operate under specific conditions and on time, as well as be reliable 24/7.
- The implementation of technology and its maintenance. It is very good to first implement technology on a small scale (e.g., one plantation), and then on a larger scale. This is due to the huge responsibility of technology. Taking Magnificent Pty Ltd. as an example, when 200 employees work and technology fails, it is a loss of ca. $6000/1 h. Before it can be repaired and the service arrives, sometimes it takes several hours. In addition, strawberries have a short shelf life, and each hour in the sun causes certain losses.
- people with different skills and competences;
- appropriate technical infrastructure;
- openness to changes. Technology is moving forward and if the company does not adapt to progress, there is no chance to survive on the market.
4.1.2. ARC Research Hub for Driving Farming Productivity and Disease Prevention
- Automated strawberry quality control using deep learning and computer vision;
- Improved sugarcane planter utilizing deep learning and computer vision;
- Robotic cleaning of lobster tanks;
- Using computer vision and deep learning to monitor and manage lobster production.
- Employees need to understand how the exponential technologies operates, have an open-mind and capability of adapting to changes. There will be faster data retrieval and processing, which will increase the importance of analytical skills.
- There are many intelligent/smart technologies that can provide possible assistance to existing jobs to get better outputs and/or quality. An example can be the one developed at ARC Research Hub—smart trap technology, so the pests can be automatically detected and counted.
- I4.0 technologies will eliminate/replace repeatable and simple jobs. Employees will be primarily responsible for the surveillance and monitoring of the production process.
- At the beginning, the needs of enterprises should be correctly determined. To this purpose, it may be helpful to conduct analyzes regarding problems, losses, etc.
- Find out what I4.0 technologies are available on the market, that can help company with a specific purpose. A business should evaluate the technology in terms of being fit on purpose. Below is a decision-making checklist to consider:
- ➢
- What’s really the problem that company are trying to solve?
- ➢
- What’s the motive for the purchase? Is it to make a task easier, automate an activity, or reduce a business cost?
- ➢
- Does the technology do what is supposed to do?
- ➢
- How compatible is the technology with existing systems? Can the technology interface with company existing equipment/programs?
- ➢
- Take it for a test drive or at least see some good case studies/testimonials to validate it.
- ➢
- How reliant is the technology on company connectivity and speed?
- ➢
- It is value for money? How does it compare with similar products and services?
- ➢
- How reliable is it? What is warranty and what’s the back-up service like?
- ➢
- Who owns any data that is generated?
- ➢
- Is it a one off purchase, or are their ongoing subscriptions involved?
- ➢
- What other considerations does a company need to make before they purchase it?
- Establish collaborative project (jointly development, spin-off companies). In Australia, many projects are financed from both government money and industry funds. For example, in the case of ARC Research Hub functioning, the distribution of financing is as follows: Industries—$3.82 m, Griffith University—$1.5 m;
- Technology development and finding the right solution (tests, pilots, deliverables).
- Depending on the form of the concluded contract, in some cases company can apply for a patent.
- Commercialization.
4.1.3. Griffith University, School of ICT, Institute for Integrated and Intelligent Systems
- At the beginning, the needs of company should be correctly determined. To this purpose, it may be helpful to conduct analyzes regarding problems, losses, etc.
- Find out what technologies are available on the market, that can help company with a specific purpose. Match the available technologies to the problem being solved. It is also worth contacting the relevant universities/research centers for opinions/consultations.
- Establish collaborative project (jointly development, spin-off companies).
- Technology development/implementation and finding the right solution along with its justification (tests, pilots, deliverables).
- Proposal of final solution + explanation. If it is good—final conditions, if not—back to previous stage.
4.2. Potential Impacts of Industry 4.0 on Human Resources—With a Particular Focus on Employment, Job Profile, Qualification and Skill Requirements in the Workforce
4.2.1. Magnificent Pty Ltd.
4.2.2. ARC Research Hub for Driving Farming Productivity and Disease Prevention
4.2.3. Griffith University, School of ICT, Institute for Integrated and Intelligent Systems
5. Discussion
- Define precisely what problems or needs company has, and on this basis define the purpose of implementing a specific technology.
- Make an overview of I4.0 technologies available on the market and verify their suitability for the purpose defined in step 1. Does the company have adequate resources for its implementation?
- Verification of the selected technology in a natural work environment.
- In the case of positive validation results, the implementation of the technology and its use. In the case of a negative assessment, return to point 2.
6. Conclusions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
Appendix A
- What kind of exponential technologies have been adapted, or are intended to be implemented, by your company?
- (a)
- Artificial Intelligence
- (b)
- Cyber Physical Systems
- (c)
- Internet of Things/Production Internet
- (d)
- Interactive/collaborative robotics
- (e)
- Advanced human-machine/robot interfacing
- (f)
- Intelligent tracking technologies
- (g)
- Body/brain scanners and similar
- (h)
- Intelligent vision, smart sensors
- (i)
- Augmented reality
- (j)
- Autonomous devices (vehicles, drones, etc.)
- (k)
- Big Data
- (l)
- 5G enabled industrial systems
- (m)
- Blockchain
- What are the key applications of exponential technologies, in your company or at all, whether existing, intended or imaginable?
- (a)
- Processing?
- (b)
- Operations planning and control?
- (c)
- Maintenance?
- (d)
- Collaborative technologies: human & robot etc.?
- (e)
- Servitization and ecosystemization?
- (f)
- Smart and adaptable products?
- (g)
- Other?
- What are the key benefits that were recorded or are aimed from the implementation of the above listed technologies?
- (a)
- Improved performance (quality, service, cost, productivity, greening, etc.)?
- (b)
- New/better processes or functions?
- (c)
- Effects due to the collaborative/shared action (joint learning etc.)?
- (d)
- Servitization, ecosystemization, novel business models or competitive operations strategies?
- (e)
- Other?
- What are the key impacts of Industry 4.0, both observed and expected, on employees?
- (a)
- New competences and skills required by employees (what kind of?)
- (b)
- Possible assistance to existing jobs to get better outputs and/or quality?
- (c)
- Elimination/replacement of labour force or some functions by smart things?
- (d)
- Other?
- How would you prioritize implementation of particular technologies in specific areas? Would you indicate any sequences required in this regard?
- What kind of facilitation is required by industrial companies in reference to effective and efficient adaptation of Industry 4.0?
Appendix B
- The impact of Industry 4.0 on the employees’ work. Their work will be:
- □
- Much more complex & stressful
- □
- Slightly more complex & stressful
- □
- No change
- □
- Less complex & stressful
- □
- Much less complex & stressful
- Do you agree with the following statements?
- Industry 4.0 allows age-appropriate working environments. [Y/N]
- Industry 4.0 allows a decrease in monotonous and repetitive work. [Y/N]
- Industry 4.0 allows decreased waste and environmental impact. [Y/N]
- Our employees do not trust Industry 4.0 technologies. [Y/N]
- Our employees fear dependence on Industry 4.0 technologies. [Y/N]
- We expect nonacceptance of Industry 4.0 by employees. [Y/N]
- We expect lack of Industry 4.0 expertise among our employees. [Y/N]
- Our employees fear data transparency due to Industry 4.0. [Y/N]
- After the implementation of Industry 4.0 solutions, has the organizational structure of your company changed? If yes, what has changed?
- How does the organization and work environment look after the implementation of Industry 4.0?
- What is the role of an employee in a company after implementing Industry 4.0?
- Which employee competencies are the most important in the Industry 4.0 era?(Please insert the ‘X’ sign in only one relevant field in each category)
Specification (Category) Scale of Validity Not
ImportantLow
ImportantModerately Important Important Very
ImportantState-of-the-art knowledge □ □ □ □ □ Technical skills □ □ □ □ □ Process understanding □ □ □ □ □ Media skills □ □ □ □ □ Coding skills □ □ □ □ □ Understanding IT security □ □ □ □ □ Creativity □ □ □ □ □ Entrepreneurial thinking □ □ □ □ □ Problem solving □ □ □ □ □ Conflict solving □ □ □ □ □ Decision making □ □ □ □ □ Analytical skills □ □ □ □ □ Research skills □ □ □ □ □ Efficiency orientation □ □ □ □ □ Intercultural skills □ □ □ □ □ Communication skills □ □ □ □ □ Networking skills □ □ □ □ □ Ability to be compromising and cooperative □ □ □ □ □ Ability to transfer knowledge □ □ □ □ □ Leadership skills □ □ □ □ □ Flexibility □ □ □ □ □ Ambiguity tolerance □ □ □ □ □ Motivation to learn □ □ □ □ □ Ability to work under pressure □ □ □ □ □ Sustainable mindset □ □ □ □ □ Compliance □ □ □ □ □ Other (which?) - What are the biggest problems in the area of competencies held by employees?(e.g., ability to use modern IT tools)
- Which of the so-called “Soft” skills are particularly desirable in your company? (e.g., critical thinking, creativity, ability to manage people)Soft skills are the ability to effectively manage yourself and communication skills in relationships with other people—personal and interpersonal skills.
- What technical skills are particularly useful in operating Industry 4.0 technologies?
- What are the most important expectations of employers regarding job candidates in the enterprise using Industry 4.0?(e.g., knowledge of foreign languages, knowledge of technological solutions, ability to set priorities, improve team skills, time management)
- Do you prefer to hire new employees with appropriate qualifications/skills or to train/retrain existing employees? Why?
- Does your company organize meetings/trainings related to Industry 4.0?
- Support for which technologies of Industry 4.0 gives your company’s employees the biggest problems?
- How do you prepare your employees to work with Industry 4.0 technologies?
- What will most affect the change of the labor market and the structure of employment in your company?(e.g., Artificial Intelligence, Robotics, Cognitive Automation, Advanced Data Analysis, Internet of Things)
- What are the biggest changes in production work due to the implementation of Industry 4.0? Which areas/processes of the company have changed the most?
- The OECD estimated that 9% of jobs in OECD countries could be automated and 25% could change significantly as a result of the automation of 50–70% of the associated tasks. Do You agree with this forecast? Why?
- What jobs have been/will be liquidated in the era of Industry 4.0?
- What new jobs positions will be created as a result of digital transformation?
- What can be the most important barriers in the sphere of employment in the functioning and development of Industry 4.0?(e.g., no qualified staff, no adequate training of employees, difficulties in recruiting people who have appropriate knowledge to companies)
- Which graduate fields of study are the most desirable in the context of working with Industry 4.0?(e.g., electrotechnics, mechatronics, mechanical engineering, material engineering, automation and robotics)
- Are university graduates sufficiently educated to meet the requirements of the labor market in enterprises implementing the ideas of Industry 4.0?
- What actions/initiatives would enable access of employees with appropriate competences related to Industry 4.0?(e.g., support of the government for companies in education and retraining of employees, new definition of the list of professions together with the required competences, put more emphasis on building competences around programming/IT)
- What are the most serious barriers to implementing Industry 4.0 principles?(e.g., lack of suitably qualified specialists, lack of sufficient skills of the staff in the field of new technologies)
Appendix C
Name | Description | Respondent |
---|---|---|
Magnificent Pty Ltd. Wamuran, QLD, Australia | International private company founded in 2002 operating in the horticulture industry. The main product offered by company is strawberries and employs around 200 workers during the season. Magnificent Pty Ltd. is focused on developing a commercial strawberry harvesting robot [61] that will significantly improve strawberry harvesting productivity. This will be achieved by integrating low-cost robotics on an autonomous platform [62]. | position: CEO/Manager gender: male years of work: 17 |
ARC Research Hub for Driving Farming Productivity and Disease Prevention Brisbane, QLD, Australia | The Hub is a public research institution established in 2019 with a national operating range. Hub operates within the Australian Research Council (ARC) which is an entity established by the Australian Government [63]. The basis of its activities are scientific projects and the provision of research and engineering services. Hub integrates world-leading capabilities in machine learning, machine vision, software quality control, biology, engineering, and farming industries to invent and adjust technologies to build more intelligent systems that can automatically determine what objective to achieve in a dynamic/turbulent environment and the most effective plan to achieve it. Hub’s research results are expected to enable higher farming productivity, lower production costs and reduce disease risks, giving the Australian industry a major advantage in global competition and creating new business opportunities [64]. | position: Researcher, Associate Professorgender: male years of work: 7 |
Griffith University, School of Information and Communication Technology (ICT), Institute for Integrated and Intelligent Systems Brisbane, QLD, Australia | Griffith University is a public research university founded in 1971 in South East Queensland on the east coast of Australia. Griffith University is among the top 2% of universities in the world with ca. 50,000 students on six campuses [65]. Research projects carried out at the School of ICT focus on data analytics, big data, machine learning, autonomous systems, computer vision and signal processing, software engineering and software quality, cybersecurity and network security. The Institute of Integrated and Intelligent Systems (IIIS) is the research platform of School of ICT, which is interested in robotics, drones and other technology-based systems [66]. | position: Professor, Head of computational proteomics laboratory gender: male years of work: 27 |
position: Researcher in robotics laboratory, PhD candidate gender: male years of work: 6 |
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- Australian Research Council. Available online: https://www.arc.gov.au/ (accessed on 10 December 2020).
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- Griffith Univeristy. Available online: https://www.griffith.edu.au/ (accessed on 10 December 2020).
- Griffith University. School of Information and Communication Technology. Available online: https://www.griffith.edu.au/griffith-sciences/school-information-communication-technology/research (accessed on 10 December 2020).
Paper | Country/Industry | Type of Results | Method/Tool | Contribution |
---|---|---|---|---|
2020 | ||||
[29] | Brazil/plastic | quantitative | fuzzy TOPSIS | identifying I4.0 technologies with the strongest and weakest impacts on social aspects |
[25] | Czech Republic | quantitative | survey | creating a pattern for employees who perceive/not perceive I4.0 as a threat |
[30] | Germany | qualitative | literature review | analysis of how I4.0 affects the work environment and how work councils’ or work unions prepare companies to implement I4.0 |
[31] | Hungary | quantitative | microsimulation modelling | impact assessment of I4.0 on the expected structure of employment, wages and inequalities |
[32] | India | qualitative | literature review | debate on the impact of I4.0 on employment |
[33] | India | quantitative | questionnaire | identification of the relationship between social parameters and I4.0 sustainability |
[34] | Indonesia | qualitative | review of on-line media and blogs | impact of I4.0 and Society 5.0 on work/jobs |
[35] | Italy | qualitative | case study | impact of I4.0 technologies on the new kind of job profile and competences |
[36] | Malaysia/electronics | quantitative | literature review & survey | determining the competencies required from quality professionals in the era of I4.0 |
[37] | oil and gas | qualitative | systematic review | impact of IoT on occupational safety and health compliances, situational awareness, and personnel tracking |
[38] | Poland | qualitative | survey | identification of opportunities and threats for consumers, producers and employees in the I4.0 environment |
[39] | Poland/EU | qualitative/quantitative | literature review & cluster analysis | diagnosis of the current situation on the labor market and expectations towards employees as a result of I4.0 |
[40] | Slovakia | qualitative | survey | impact of I4.0 on jobs creation within the SMEs and family businesses |
[41] | Slovakia | quantitative | survey | impact of I4.0 on labor productivity |
2019 | ||||
[12] | automotive | qualitative | literature review | analysis of the possible impact of I4.0 on work and employment |
[42] | ceramic | qualitative | case study | impact of I4.0 applications on supporting the triple bottom line (TBL), including employees in the social category |
[43] | logistics | qualitative | case study | impact of I4.0 on human work in logistics (Logistics 4.0) |
[44] | mining | qualitative | literature review | impact of I4.0 from a workplace perspective |
[45] | Poland/foundry | qualitative | questionnaire | identification of the necessary competences of a foundry engineer in the era of I4.0 |
[46] | supply chain | qualitative | systematic literature review/bibliometrics | impacts of I4.0 on human resource management (HRM 4.0) with implications for supply chain management (SCM) |
2018 | ||||
[47] | Germany | quantitative | questionnaire & structural equation modeling | analysis of I4.0 impact in the context of environment, people, employee qualifications and acceptance |
[26] | Iran and Japan | qualitative | SWOT analysis | analysis of the effects of I4.0 on the labor markets of Iran and Japan |
[48] | mechanical & ICT | qualitative | interview | impact of digitalisation on changes in the labor market and employees’ skills necessary in the future in manufacturing |
2017 | ||||
[49] | China & Germany | qualitative | survey | discussion on the impact of digitization on future work and employees |
[50] | hospitality | qualitative | semi-structured interview | analysis of the feasibilities of I4.0 in the context of jobs and employees |
[51] | South Africa | qualitative | survey | impact of the implementation of I4.0 technology (collaborative robots) on workforce |
2016 | ||||
[52] | Germany | qualitative | literature review | impact of digitization of industrial work on labor and jobs |
Statement | Answer [yes/no] | |||
---|---|---|---|---|
Magnificent Pty Ltd. | ACR Research Hub | Computational Proteomics Lab. | Robotics Lab. | |
I4.0 allows age-appropriate working environments | no | yes | yes | no |
I4.0 allows a decrease in monotonous and repetitive work | yes | yes | yes | yes |
I4.0 allows decreased waste and environmental impact | yes | yes | yes | yes |
Our employees do not trust I4.0 technologies | no | no | yes | no |
Our employees fear dependence on I4.0 technologies | no | no | yes | no |
We expect nonacceptance of I4.0 by employees | no | no | no | no |
We expect lack of I4.0 expertise among our employees | no | yes | yes | hard to say |
Our employees fear data transparency due to I4.0 | no | no | yes | no |
Scale of Validity | ||||
---|---|---|---|---|
Low Important | Moderately Important | Important | Very Important | |
Magnificent Pty Ltd. | research skills, ability to be compromising and cooperative | media skills, creativity, entrepreneurial thinking, conflict solving, networking skills, ability to transfer knowledge, leadership skills, sustainable mindset, compliance | state-of-the-art knowledge, understanding IT security, decision making, efficiency orientation, intercultural skills, communication skills, flexibility, ambiguity tolerance, motivation to learn | technical skills, process understanding, coding skills, problem solving, analytical skills, ability to work under pressure, ability to create and use databases (e.g., SQL) |
ARC Research Hub | media skills, ambiguity tolerance | process understanding, understanding IT security, conflict solving, intercultural skills, flexibility | state-of-the-art knowledge, entrepreneurial thinking, decision making, efficiency orientation, communication skills, networking skills, ability to be compromising and cooperative, leadership skills, sustainable mindset, compliance | technical skills, coding skills, creativity, problem solving, analytical skills, research skills, ability to transfer knowledge, motivation to learn, ability to work under pressure, failure handling, endurance |
Griffith University | media skills, ability to transfer knowledge | state-of-the-art knowledge, process understanding, coding skills, creativity, entrepreneurial thinking, conflict solving, analytical skills, research skills, efficiency orientation, intercultural skills, communication skills, networking skills, ability to be compromising and cooperative, leadership skills, flexibility, ambiguity tolerance, ability to work under pressure, sustainable mindset, compliance | technical skills, understanding IT security, problem solving, decision making, motivation to learn, openness to change |
I4.0 field | Magnificent Pty Ltd. | ACR Research Hub | Griffith University |
---|---|---|---|
Technologies | machine learning, intell. tracking technologies, intell. computer vision, autonomic devices (vehicles, drones etc.) | AI, intell. visions & smart sensors, autonomic devices, big data | AI, CPSs, IoT, robotics, intell. tracking technologies, intell. visions & smart sensors, augmented reality, big data |
Key applications | operations planning and control, servitization and ecosystemization | processing, operations planning and control, servitization and ecosystemization | optimization, operations planning and control, servitization and ecosystemization |
Key benefits | automatic quality control, robotics in manual jobs, improving efficiency | reduce costs, improve productivity and efficiency, prevent loss | increase accuracy of many processes |
Key impacts on employees | facilitate manual operations, many jobs can be automated and replaced with robots, work can be more stressful, operators dependent on I4.0 technologies | eliminate/replace repeatable and simple jobs, employees will be primarily responsible for the surveillance and monitoring | work will be safer, more ergonomic and effective, intell. assistant in tasks performed by operators |
Facilitations to effective/efficient implement | appropriate technical infrastructure, workers with different skills & competences, strategic management | appropriate technical infrastructure, proper management, skilled workers | benchmarking, participation in consortia/clusters, collaboration programs, skilled workers |
Overall assessment | necessity for big companies | positive in long term | positive in long term |
Category | Australia Perspective | Reference to Literature |
---|---|---|
impact I4.0 on human work | depends on type of work (less complex & stressful for physical workers; more complex & stressful for qualified workers) | [12,33,34,43,44,46,49,51] |
change in functioning of organizations | greater digitization and robotization | [35,40,47,49,50,52] |
employee’s role in I4.0 | not changed significantly | [43,44] |
the most important skills/competences in I4.0 | technical skills, problem solving, coding skills, analytical skills, ability to work under pressure | [25,35,36,39,42,44,45,46,48] |
employers’ expectations towards employees | diligence, problem-solving orientation, activity in finding solutions, ability to learn, openness to change | [36,39,48] |
employees’ fluctuations | both hiring new employees and training the existing ones will take place | [39] |
preparation employees for I4.0 | courses & trainings related to I4.0, self-learning | [36,50] |
technologies with the greatest impact on labor market | AI, automatics & robotics | [29,33] |
impact of I4.0 on labor market | simple physical/manual works will be replaced or liquidated, health & safety will improve, possibility of job loss by low-skilled workers | [12,26,31,32,33,38,39,41,42,48,52] |
new jobs positions | related to the combination of technical skills and technologies I4.0 (e.g., AI engineer, AI conservator) | [35,40,41] |
the most important barriers in the sphere of employment in I4.0 | access to money capital, willingness to adapt to change and learn | [26,37] |
the most desirable graduates of study | industrial engineering, informatics, electronics | [32] |
initiatives that can help adjust employees to I4.0 | Australian Government programs; companies should create own employee training programs related to I4.0 | [30] |
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Ejsmont, K. The Impact of Industry 4.0 on Employees—Insights from Australia. Sustainability 2021, 13, 3095. https://doi.org/10.3390/su13063095
Ejsmont K. The Impact of Industry 4.0 on Employees—Insights from Australia. Sustainability. 2021; 13(6):3095. https://doi.org/10.3390/su13063095
Chicago/Turabian StyleEjsmont, Krzysztof. 2021. "The Impact of Industry 4.0 on Employees—Insights from Australia" Sustainability 13, no. 6: 3095. https://doi.org/10.3390/su13063095
APA StyleEjsmont, K. (2021). The Impact of Industry 4.0 on Employees—Insights from Australia. Sustainability, 13(6), 3095. https://doi.org/10.3390/su13063095