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Article
Publication date: 9 July 2024

Tiziana C. Callari, Louise Moody and Ben Horan

Virtual reality (VR) has been explored as a training and testing environment in a range of work contexts, and increasingly so in transport. There is, however, a lack of research…

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Abstract

Purpose

Virtual reality (VR) has been explored as a training and testing environment in a range of work contexts, and increasingly so in transport. There is, however, a lack of research exploring the role of VR in the training of tram drivers, and in providing an environment in which advances in tram technology can be tested safely. This study aimed to test a novel haptic tram master controller within a tram-based Virtual environment (VE).

Design/methodology/approach

The master controller is the primary mechanism for operating a tram, and its effective manipulation can significantly influence the comfort and well-being of passengers, as well as the overall safety of the tram system. Here, the authors tested a haptically enhanced master controller that provides additional sensory information with 16 tram drivers. The feasibility and user acceptance of the novel technology were determined through surveys.

Findings

The results indicate that the haptic master controller is seen as beneficial to the drivers suggesting that it could enhance their driving and demonstrate good acceptance. The VE has provided a potential training environment that was accepted by the drivers and did not cause adverse effects (e.g. sickness).

Research limitations/implications

Although this study involved actual tram drivers from a local tram company, the authors acknowledge that the sample size was small, and additional research is needed to broaden perspectives and gather more user feedback. Furthermore, while this study focused on subjective feedback to gauge user acceptance of the new haptic technology, the authors agree that future evaluations should incorporate additional objective measures.

Practical implications

The insights gained from this VE-based research can contribute to future training scenarios and inform the development of technology used in real-world tram operations.

Originality/value

Through this investigation, the authors showed the broader possibilities of haptics in enhancing the functionality and user experience of various technological devices, while also contributing to the advancement of tram systems for safer and more efficient urban mobility.

Details

Journal of Workplace Learning, vol. 36 no. 7
Type: Research Article
ISSN: 1366-5626

Keywords

Available. Content available

Abstract

Details

Journal of Workplace Learning, vol. 36 no. 7
Type: Research Article
ISSN: 1366-5626

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Article
Publication date: 30 January 2025

Tiziana C. Callari and Lucia Puppione

The purpose of this study was to explore employees’ perceptions and firsthand experiences of the impact of generative artificial intelligence (AI) productivity tools, specifically…

45

Abstract

Purpose

The purpose of this study was to explore employees’ perceptions and firsthand experiences of the impact of generative artificial intelligence (AI) productivity tools, specifically Microsoft 365 Copilot, on individual and collective learning processes within a multinational corporation. In doing so, the study provides insights into how these tools can shape workplace learning dynamics, fostering both individual skill development and collaborative knowledge-sharing practices.

Design/methodology/approach

The authors collected responses from 357 participants through a survey that included both multiple-choice and open-ended questions. This study focuses exclusively on the qualitative responses. The reflexive thematic analysis method was used to capture and interpret employees’ perceptions of the role of Microsoft 365 Copilot – a generative AI-powered assistant integrated into the Microsoft 365 suite of applications (e.g., Word, Excel, PowerPoint, Outlook, Teams) – in enhancing their work and learning opportunities in the workplace.

Findings

The results highlight four key themes contributing to workplace learning. At the individual level, Task Support illustrates the extent to which generative AI productivity tools transform work practices and facilitate both formal and informal learning pathways, while Meaningful Work underscores the tools’ role in enhancing employees’ foundational knowledge through enriched information. At the organisational level, organisational culture suggests the importance of fostering a supportive environment for AI integration, while organisational socialisation highlights its influence on team cohesion and the informal knowledge-sharing processes essential for effective collaboration within and among team members.

Practical implications

The results of this study offer actionable insights for organisations integrating generative AI productivity tools in the workplace. Understanding employees’ perceptions of the role of AI in workplace learning can inform the design of targeted training programmes that promote individual skill development and foster collaborative knowledge sharing. Furthermore, a supportive organisational culture that positions AI as a complementary resource can improve employee engagement, reduce resistance to new technologies and encourage a growth-oriented mindset, ultimately driving both personal and organisational development.

Originality/value

This study shifts the narrative around the role of AI in the workplace by examining how generative AI productivity tools can enhance workplace learning at both individual and organisational levels, rather than focusing solely on their potential to disrupt work through displacement and automation. By positioning AI-based applications as complementary to human work, this approach highlights their potential as enablers of skill development, knowledge sharing and job enrichment, fostering a more adaptive and learning-oriented work environment.

Details

Journal of Workplace Learning, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1366-5626

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Article
Publication date: 1 March 2024

Mohan Thite and Ramanathan Iyer

Despite ongoing reports of insider-driven leakage of confidential data, both academic scholars and practitioners tend to focus on external threats and favour information…

570

Abstract

Purpose

Despite ongoing reports of insider-driven leakage of confidential data, both academic scholars and practitioners tend to focus on external threats and favour information technology (IT)-centric solutions to secure and strengthen their information security ecosystem. Unfortunately, they pay little attention to human resource management (HRM) solutions. This paper aims to address this gap and proposes an actionable human resource (HR)-centric and artificial intelligence (AI)-driven framework.

Design/methodology/approach

The paper highlights the dangers posed by insider threats and presents key findings from a Leximancer-based analysis of a rapid literature review on the role, nature and contribution of HRM for information security, especially in addressing insider threats. The study also discusses the limitations of these solutions and proposes an HR-in-the-loop model, driven by AI and machine learning to mitigate these limitations.

Findings

The paper argues that AI promises to offer many HRM-centric opportunities to fortify the information security architecture if used strategically and intelligently. The HR-in-the-loop model can ensure that the human factors are considered when designing information security solutions. By combining AI and machine learning with human expertise, this model can provide an effective and comprehensive approach to addressing insider threats.

Originality/value

The paper fills the research gap on the critical role of HR in securing and strengthening information security. It makes further contribution in identifying the limitations of HRM solutions in info security and how AI and machine learning can be leveraged to address these limitations to some extent.

Details

Personnel Review, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0048-3486

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