A study of Artificial Intelligence impacts on Human Resource Digitalization in Industry 4.0

Murugesan, Umasankar; Subramanian, Padmavathy; Srivastava, Shefali; Dwivedi, Ashish

doi:10.1016/j.dajour.2023.100249

Cited by 38 publications

(18 citation statements)

References 25 publications

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“…In the era of workplace digitalisation, research has consistently highlighted the crucial role of adaptability and the capabilities of the workforce in ensuring the successful implementation of digital technologies, Murugesan, Subramanian, Srivastava, and Dwivedi (2023) utilised statistical package for social sciences (SPSS) tools and analysis of moment structures (AMOS) to investigate the influence of cognitive skills on Smart on the digitalisation of human resources in Industry 4.0 decision-making analysis. Findings revealed that versatility and human resource functionalities are supported by each of the five AI application domains in the field of human resource enhancements in health and safety are considered crucial elements of AI applications within human resources.…”

Section: Adaptability and Human Asset Capabilitymentioning

confidence: 99%

Constraints and Enablement of Workplace Digitalisation: An Integrative Review

Bangura,

Elisabeth Lourens

2024

IJBMS

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The successful implementation of a digital workplace involves integrating information technology throughout all aspects of the organisation. The resulting changes are significant and wide-ranging, affecting the overall work environment. Numerous experts emphasize the importance of technology in establishing a digital workplace. However, it is important to acknowledge that digital transformation within the workplace presents its own set of challenges. As such, this study aims to identify the limitations associated with embracing a digital workplace and explore the various factors that impact the efficiency of employee digitalisation. In doing this an integrative review to explore the factors that constrain, and influence workplace digitalisation was employed. To do this, relevant studies were searched through reputable search engines such as Scopus, EBSCO, IEEE, Science Direct, Google Scholar, and Bing. In addition, a range of online resources which proved to be reliable sources of information on workplace digitalisation and the constraints and enablement therein were used. Furthermore, reputable journal articles, government reports, and biographies were also used with specific keywords to identify both primary and secondary sources of data. The research results indicate that the lack of accuracy, reliability, trustworthiness, and productive collaboration between humans and artificial intelligence technologies in the context of digitalizing the workplace poses a substantial obstacle to their acceptance, implementation, and successful integration. However, it revealed that adaptability human asset capability employee motivation, and well-defined digitalisation strategy are critical in the effective implementation of workplace digitalisation. The study facilitates an in-depth analysis of the existing constraints and strategies for workplace digitalisation. The aim is to offer valuable recommendations to managers and practitioners on the successful implementation of workplace digitalisation. This study is a novel attempt that aims to explore the challenges and barriers that impede the successful utilisation of the human resource management process of workplace digitalisation.

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Section: Adaptability and Human Asset Capabilitymentioning

confidence: 99%

Constraints and Enablement of Workplace Digitalisation: An Integrative Review

Bangura,

Elisabeth Lourens

2024

IJBMS

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“…Additionally, AI-powered learning platforms have the capability to customize training based on the specific needs of individual employees. This personalized approach enhances the effectiveness of training programs and contributes to improved learning outcomes [19]. AI's significant impact on performance management is evident in its ability to identify improvement opportunities through the analysis of employee performance data.…”

Section: Role Of Ai On Hr Practicesmentioning

confidence: 99%

Elevating Public Sector HR: A Comprehensive Exploration of E-HRM Adoption Drivers

Al-Hayani,

Al-Wattar

2024

IRJIET

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This comprehensive study explores the intricacies of Electronic Human Resource Management (eHRM) adoption within public sector organizations. Focusing on adoption drivers, e-HRM typologies, and the evolving role of technology, the research uncovers diverse opportunities and challenges faced by government agencies in the digital era. The findings emphasize the potential of e-HRM to enhance both strategic HR functions and operational efficiency. The proposed conceptual model, incorporating organizational, political, legal, social, technological, economic, and environmental perspectives, provides a nuanced understanding of the complexities surrounding e-HRM adoption. By acknowledging the transformative influence of Artificial Intelligence (AI) on HR practices, the study underscores the interconnected nature of HRM effectiveness and organizational outcomes. In conclusion, this research contributes valuable insights for HR practitioners and decision-makers navigating the dynamic landscape of eHRM adoption in the public sector. It emphasizes that while e-HRM holds great potential for improving organizational functions; its effective deployment requires a customized strategy and a deep understanding of the organizational context. The discussion on technologydriven HR transformations is enriched by insights into the impact of AI on HR practices and the relationship between HRM effectiveness and organizational outcomes. This study serves as a foundation for informed decisionmaking, practical implications for HR practitioners, and a significant contribution to the ongoing conversation on the future of HR management in the public domain.

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“…The data analysis technique used in this research is comparative analysis or T-test between class data that implements production unit-based Teaching Factory learning and those that do not. Data will be analyzed using SPSS (Statistical Package for the Social Sciences) software to ensure the accuracy and validity of the analysis results [42]. Data on students' entrepreneurial spirit before and after learning will be compared directly to evaluate the changes that occur.…”

Section: Data Analysis Techniquementioning

confidence: 99%

Action in the Business Realm: Increasing Students' Entrepreneurial Spirit Through Production Unit-Based Teaching Factory Learning

Puspita,

Huong,

Poonseripipat

2023

Jo. Soc. Know. Ed

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Purpose of the study: The aim of this research is to determine students' entrepreneurial spirit through production unit-based teaching factory learning. Methodology: The type of research used in this research is quantitative with a quasi-experimental type. The number of samples taken was 60 students consisting of 30 students in class VIII A and 30 students in class VIII B. The data collection technique used included distributing questionnaires. The data analysis technique used in this research is comparative analysis or T-test between class data that implements production unit-based Teaching Factory learning and those that do not. Main Findings: Based on the results of the T-test carried out, it was found that there was a difference in entrepreneurial spirit between the group who took part in learning at the teaching factory and the group who did not take part. Novelty/Originality of this study: The novelty of this research is that it explores the transformative potential of production unit-based Teaching Factory learning in fostering a dynamic entrepreneurial spirit among students in the business realm.

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A study of Artificial Intelligence impacts on Human Resource Digitalization in Industry 4.0

Cited by 38 publications

References 25 publications

Constraints and Enablement of Workplace Digitalisation: An Integrative Review

Constraints and Enablement of Workplace Digitalisation: An Integrative Review

Elevating Public Sector HR: A Comprehensive Exploration of E-HRM Adoption Drivers

Action in the Business Realm: Increasing Students' Entrepreneurial Spirit Through Production Unit-Based Teaching Factory Learning

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