Industry 4.0 and Knowledge Management: A Review of Empirical Studies

Capestro, Mauro; Kinkel, Steffen

doi:10.1007/978-3-030-43589-9_2

Cited by 34 publications

(13 citation statements)

References 105 publications

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“…Digital skills and digital competences are essential in today's life and are even the basis of social exclusion or inequality (Ragnedda et al, 2020;Tewathia et al, 2020). In professional life, digital skills and digital competences are today a determinant of success in performing tasks at the individual level (Mazurchenko & Maršíková, 2019), innovation (Shakina et al, 2021) and competitive advantage (Benešová & Hušek, 2019;Capestro & Kinkel, 2020) at the organizational level, and in macro termsthe level of digitization of society (Sá et al, 2021) or smart cities (Komninos et al, 2021).…”

Section: Literature Review and Hypotheses Developmentmentioning

confidence: 99%

The two-mode network approach to digital skills and tasks among technology park employees

Ujwary-Gil¹,

Godlewska-Dzioboń²

2022

EBER

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The article predicts how the performance of tasks understood as tasks shared between a dyad can be predicted based on the perceptual difference of behaviors in terms of the digital skills of technology park employees (social actors). Here, employees serve park tenants mainly from the creative, game, IT and multimedia industries, and broadly understood audiovisuals. Research Design & Methods:The questionnaire previously validated by other authors was used to measure employees' digital skills and two non-parametric network statistics tests based on data permutation were conducted: the quadratic assignment procedure (QAP) and the multiple regression quadratic assignment procedure (MRQAP), which are good at error autocorrelation. Findings: The results show that there is a relationship between selected digital skills and tasks shared among employees; digital skills influence behavior patterns, thus increasing or decreasing tasks shared in the workplace; moreover, dyad embedded in an intra-organizational social network is more appropriate for anticipating inherently relational tasks sharing between employees in a knowledge-intensive organization. Implications & Recommendations:The findings contribute to the literature on digital skills and shared tasks from a dyadic and organizational perspective by deepening the understanding of the relationship between a pair of employees. Organizations should apply digital skills training to influence interpersonal relationships and thus the effectiveness of task performance and business processes. It seems necessary to develop and implement policy's assumptions about increasing the digital skill level of its employees.

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Section: Literature Review and Hypotheses Developmentmentioning

confidence: 99%

The two-mode network approach to digital skills and tasks among technology park employees

Ujwary-Gil¹,

Godlewska-Dzioboń²

2022

EBER

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“…The need to develop neural hardware architectures is driven by the actual requirements in industry. Artificial neural architectures have been developed and implemented with orientation to the requirements stipulated in the standards for the automation of industrial processes in Industry 4.0 [1][2][3].…”

Section: Design Of Artificial Neuron Architecturementioning

confidence: 99%

Design of Specialized Hardware Architectures for Industry 4.0

Munteanu¹,

Carbune²

2022

Proceedings of the 12th International Conference on “Electronics, Communications and Computing"

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In the process of transition to Industry 4.0, the importance of applying cutting-edge technologies such as machine learning and artificial intelligence to replace human operators in industrial processes is explained by the need to automate industrial production processes. Replacing qualified human experts with artificial neural networks opens up a lot of possibilities for the implementation of new methods of industrial process automation. The problem of industrial process automation is quite complex because the decision-making process of the human expert is accompanied by uncertainty. Artificial neural networks represent one of the basic branches of artificial intelligence. At the moment, they are used in various fields to solve problems for which classical methods are unable to provide practical solutions. Thus, the problem of developing and training artificial neural networks for solving industrial process automation problems acquires major importance in the design of artificial intelligence systems. The training process directly depends on the data set on the basis of which the neural network is designed.

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“…At the forefront is interest in improving employees’ personal and professional competence to work in the Industry 4.0 environment [ 63 , 64 , 65 ]. Knowledge management will have an important role to play [ 66 ], as well as tools supporting the development of core competencies to align the existing competencies of employees with those needed in an Industry 4.0 environment [ 67 ].…”

Section: Theoretical Background and Research Question Developmentmentioning

confidence: 99%

What Drives the Usage of Management Tools Supporting Industry 4.0 in Organizations?

Nedelko

2021

Sensors

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The main purpose of this study was to examine how personal and organizational drivers influence the utilization of management tools aimed at supporting organizational working in Industry 4.0 settings. We built our research upon the recognized importance of management tools for organizational working under Industry 4.0 settings and explored the key personal and organizational drivers of management tool usage. Calculations were performed based on the responses of 222 employees working in organizations across Europe. The results revealed that, among personal drivers, a higher level of education leads to significantly higher usage of six sigma, rapid prototyping, outsourcing, customer relationship management, knowledge management, core competencies, and strategic planning. More experienced employees use significantly more six sigma, total quality management, supply chain management, knowledge management, and core competences than their less experienced peers. The impact of organizational drivers is substantially weaker, where only industry shows significant influence, indicating that lean production, six sigma, and supply chain management are used more in manufacturing than in service organizations. Gender, one’s position in the organization, and the organization size do not play a substantial role in management tool usage. Managers should recognize the role of personal and organizational drivers of management tool usage in order to more quickly implement Industry 4.0 principles in organizations.

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Industry 4.0 and Knowledge Management: A Review of Empirical Studies

Cited by 34 publications

References 105 publications

The two-mode network approach to digital skills and tasks among technology park employees

The two-mode network approach to digital skills and tasks among technology park employees

Design of Specialized Hardware Architectures for Industry 4.0

What Drives the Usage of Management Tools Supporting Industry 4.0 in Organizations?

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