Table 6

Types of Q4.0 training being initiated or required – quotes from the interviewees

"The training was not prerequisite classroom training but was more project-based training as the company was learning. If you were completing an IoT project, the training was more project-based. There was no general training on Q4.0 and IoT. Initially, the training was started around the project deployment. Few training methods are available, just maybe some software literature around data sciences and data analytics sectored around our operations and the shared portal. There are not any classroom training or large scale training.” P4
“Whenever you get involved with using very sophisticated equipment, there is always a challenge to see if skilled staff can handle this equipment. The equipment is very sensitive to how you handle them and how you set that equipment. Because somebody has to be trained to set digitalized equipment to run properly, setting up those devices, then taking care of those devices and then doing the right calibrations is important, so training skills need to be specific to the customized needs of the line.” P3
“We have carried out training of operators: we have considered the complexities of the operations and the simulation processes in the training centres in online video formats. The management team is ready to spend, so a library of videos was set up for training. A person is not allowed to work on complex equipment unless and until the person undergoes the right sequence of training on the machines.” P2
“Graduates should come from a university with better understanding and clarity on I4.0 and Q4.0. Practicality is important in student education.” P7
“There is not any Q4.0 training currently.” P9
“It comes down to individual initiative. My company were not prescriptive … they did not say to do a Master's in Digital Business and Innovation. However, we found the direction the world is going in, and it is in our interest to learn.” P10
“From my side, I do self-learning. For example, I conducted a full-fledged course on I4.0 (6 days) and engaged all my employees in.” P10
“We have not done any formal external training. We have just used content online and in the public domain and trained our people. So I think the current amount of information we have will suffice, it is not rocket science, and it is common sense.” P12
“People have to have the skills; you should not make datasets without assessing why you need what you need and how you need it. Then you are making cross-matching to determine how you access the data, ensuring it is coming over accurately and correctly. And then you need people who can interpret and assess the information coming on.” P1
“The % of the workforce to be trained, I would say, is very low- say 2 or 4%. The majority of people are hourly work personnel. They are not going to do anything with Q4.0. The minority of the workforce, IT or some quality professionals and engineers would get some part of the training.” P10
“With our pilot apps, we call it our learning fabric, where we train our whole worker base on the new tools. We have a huge development in the industry 4.0 and the digitalization part, but we do not focus explicitly on Q4.0, but we have somewhat on digitalization, and we need to train in it.” P6

Source(s): Authors’ own work

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