Changes in the social architecture of business model in the perspective of the Industry 4.0 concept

Grabowska, Sandra

doi:10.2478/manment-2019-0039

Cited by 6 publications

(7 citation statements)

References 10 publications

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“…The curriculum enhancement initiatives for the Industry 4.0 should include aspects connected with data, its automated gathering, processing and communication such as: data science, big data analytics, data communication, advanced simulation, virtual plant modeling, networks and system automation, novel human-machine interfaces, digital-to-physical transfer technologies (e.g. 3D printing), real-time inventory, closed-loop integrated product and process quality control and management systems; and logistics optimization systems [44][45][46][47]. There is also a need to train next generation leaders and young talent for Performance Augmentation for Industry 4.0 [48] and for Additive Manufacturing, which allows shorter production runs, the capacity to manufacture parts with geometries impossible using current methods, generating unique items and flexibility with respect to design changes to be obtained [49].…”

Section: Knowledge and Skills Of Industrial Employees And Managerial Staff Indispensable To Implement Of The Industry 40 Conceptmentioning

confidence: 99%

Knowledge and Skills of Industrial Employees and Managerial Staff for the Industry 4.0 Implementation

2021

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The development of the Industry 4.0 concept offers completely new technologies’ enablers using high level of automation and digitalization. There is a huge challenge for enterprises not only due to the application of modern technologies (such as Internet of Things, Big Data Analytics, Cloud Computing, etc.) related to the creation of Cyber-Physical Systems but also for a human resources development. Scientists and practitioners pay a lot of attention to technological changes in enterprises, but relatively little research is conducted on the issue of human resources development. The problem becomes more interesting in light of the Industry 4.0 era which resulted in changes in the employment structure, requirements for future industrial employees and managerial staff and also to the approach to the education process. The changing demand for skills is a quite well-researched topic in economics and management, but the changing skill demand for the Industry 4.0 is just the newest case of a quite old debate. The case of Industry 4.0 seems to be a particular case for the general change in skill demand due to digitalization. The main aim of the paper is to indicate the key areas of required knowledge and skills of employees essential to implement the Industry 4.0 concept. They are identified on the basis of a critical literature analysis and the conducted survey of selected industrial enterprises. The results of this research are particularly important for adapting the employee training system and the education process for students.

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Section: Knowledge and Skills Of Industrial Employees And Managerial Staff Indispensable To Implement Of The Industry 40 Conceptmentioning

confidence: 99%

Knowledge and Skills of Industrial Employees and Managerial Staff for the Industry 4.0 Implementation

2021

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“…Since the arrival of Industry 4.0, workplace communication has become heavily reliant on digital technologies, leading to an increased emphasis on adults' ICT communication skills (Saniuk et al, 2021). Developed economies or countries have required adults to possess such advanced digital communication skills as data communication (Grabowska, 2020). Similarly, the emergence of Education 4.0 has brought about a heightened focus on communication skills, particularly ICT communication skills.…”

Section: Heswbl 142mentioning

confidence: 99%

A profile of core workplace skills in developing countries: utilizing PIAAC datasets

2023

HESWBL

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Purpose Utilizing datasets of Ecuador, Hungary, Kazakhstan, Mexico and Peru from the Programme for the International Assessment of Adult Competencies survey from 2017 to 2018, this study aimed to develop and validate a profile indicating core workplace skills in developing countries.Design/methodology/approach DeVellis' guide of scale development navigated the development of the profile. Multiple techniques including item analysis, exploratory factor analysis, confirmatory factor analysis and multigroup confirmatory factor analysis were used on a sample of 7,166 participants to validate the profile of core workplace skills in developing countries.Findings A resultant five-dimensional profile with 18 items was developed: oral communication skills, reading skills, math skills, information and communication technology skills and learning skills. The estimates of composite reliability showed the profile was reliable. The validity estimates of the profile were obtained from several sources including content, convergent, discriminative and construct validity. The measurement invariance was also held for the profile.Originality/value Based on the researcher's knowledge, the study is the first attempt to develop a profile to indicate core workplace skills in developing countries. The profile theoretically framed the core workplace skills in developing countries and provides a new measure for identifying, evaluating and thus improving core workplace skills in developing countries for different stakeholders in the era of Education 4.0.

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“…On the contrary, implementing AI solutions leads to the disappearance of jobs that require low skills and competencies in MA and generates jobs that require high skills and competencies in MA and IT. Although AI solutions are equal to and exceed human intelligence in certain areas (collecting, processing, and analyzing a large volume of complex data), human intelligence cannot be replaced in certain areas (making decisions in situations where human intuition is required, as well as decision-making) [23][24][25].…”

Section: Literature Reviewmentioning

confidence: 99%

Assessing the Impact of AI Solutions’ Ethical Issues on Performance in Managerial Accounting

Vărzaru

2022

Electronics

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In the contemporary, constantly changing business environment characterized by globalization, openness, and competitiveness, implementing different processes of new information technologies has become a competitive advantage. The field of managerial accounting is a successful example of the implementation of artificial intelligence in operations and the decision-making process based on accounting information. However, ethical issues within managerial accounting and those added through the implementation of artificial intelligence need to be addressed carefully. In this paper, the main objective is to investigate these ethical issues regarding the perception of accountants on the usefulness, efficiency, and effectiveness of implementing artificial intelligence in managerial accounting. To investigate these effects, we conducted a study based on a questionnaire among 396 accountants in Romania who use various artificial intelligence solutions in their activities in managerial accounting. The results of structural equation modeling showed that the ethical issues of autonomy, responsibility, and trust significantly influence the perceived usefulness and the performance of artificial intelligence solutions. The research concludes that artificial intelligence solutions solve many ethical issues in managerial accounting. Still, through their design and application, artificial intelligence solutions can create other ethical problems specific to managerial accounting and business ethics. Therefore, despite all the barriers and reluctance of professionals, artificial intelligence will substantially impact managerial accounting in the years to come.

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Changes in the social architecture of business model in the perspective of the Industry 4.0 concept

Cited by 6 publications

References 10 publications

Knowledge and Skills of Industrial Employees and Managerial Staff for the Industry 4.0 Implementation

Knowledge and Skills of Industrial Employees and Managerial Staff for the Industry 4.0 Implementation

A profile of core workplace skills in developing countries: utilizing PIAAC datasets

Assessing the Impact of AI Solutions’ Ethical Issues on Performance in Managerial Accounting

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