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Article
Publication date: 24 April 2020

Idris Jeelani, Kevin Han and Alex Albert

Workers and construction professionals are generally not proficient in recognizing and managing safety hazards. Although valuable, traditional training experiences have not…

1897

Abstract

Purpose

Workers and construction professionals are generally not proficient in recognizing and managing safety hazards. Although valuable, traditional training experiences have not sufficiently addressed the issue of poor hazard recognition and management in construction. Since hazard recognition and management are cognitive skills that depend on attention, visual examination and decision-making, performance assessment and feedback in an environment that is realistic and representative of actual working conditions are important. The purpose of this paper is to propose a personalized safety training protocol that is delivered using robust, realistic and immersive environments.

Design/methodology/approach

Two types of virtual environments were developed: (1) Stereo-panoramic environments using real construction scenes that were used to evaluate the performance of trainees accurately and (2) A virtual construction site, which was used to deliver various elements of instructional training. A training protocol was then designed that was aimed at improving the hazard recognition and management performance of trainees. It was delivered using the developed virtual environments. The effectiveness of the training protocol was experimentally tested with 53 participants using a before–after study.

Findings

The results present a 39% improvement in hazard recognition and a 44% improvement in hazard management performance.

Originality/value

This study combines the benefits of using a virtual environment for providing instructional training along with realistic environments (stereo-panoramic scenes) for performance assessment and feedback. The training protocol includes several new and innovative training elements that are designed to improve the hazard recognition and hazard management abilities of the trainees. Moreover, the effectiveness of training in improving hazard recognition and hazard management is measured using specific outcome variables.

Details

Engineering, Construction and Architectural Management, vol. 27 no. 8
Type: Research Article
ISSN: 0969-9988

Keywords

Article
Publication date: 20 September 2019

Souvik Maity

The fast pace of innovation and disruption in business processes and technology today requires employees of organizations to be continuously up-skilled and be able to adapt to…

6984

Abstract

Purpose

The fast pace of innovation and disruption in business processes and technology today requires employees of organizations to be continuously up-skilled and be able to adapt to changing practices. Training needs are becoming more personalized. Micro-learning and byte-sized training modules, easily accessible to employees, as and when required, are some of the major organizational needs. Training and development programs should be designed keeping in mind factors of employee engagement, involvement and extent of training transfer. The purpose of this paper is to explore whether artificial intelligence (AI) can lead training and development processes in organizations in the years to come.

Design/methodology/approach

The author has interviewed 27 HR and training professionals, in person, from across eight organizations in the FMCG, oil and natural gas and clothing and apparel industries. All these organizations have an annual turnover of greater than US$14.5m. A formal questionnaire was not followed since this research explores a new field in academia. Open-ended questions were used in the interviews, of which eight were common across all interviews. The mean interview duration was 25 min 33 s. The objective being to capture ideas and identify future trends, the analysis was done on a percentage basis and served as the foundation for a new training and development needs model for organizations.

Findings

Among the 27 HR/training professionals interviewed, 92.6 percent respondents believed that their organization/department requires knowledge management practices while 40.7 percent require the training content delivered to a fixed category of employees, to be updated continuously. Personalized learning was mentioned as a requirement by 63 percent of the respondents. In total, 92.6 percent HR/training professionals believed training programs should involve high employee engagement. In total, 51.9 percent would prefer on-the-go learning tools for their employees, while 33.33 percent respondents believed an intuitive e-learning interface would be useful for their organization/department. The findings also led to the foundation of an SIP model, which shall be useful in providing direction to AI systems in training and development practices.

Research limitations/implications

The paper opens up avenues for further research to be conducted in identifying the areas of impact of AI in training and development. It paves the way for researchers to quantify training effectiveness and measure it with the help of AI.

Practical implications

The objective of the paper is to explore the opportunities for AI in training and development practices. Having identified the opportunities, it shall drive the practice of using AI across industries.

Originality/value

The thoughts in the paper have been ideated by the authors organically. Relevant data points from referred sources have been cited to back up those thoughts.

Details

Journal of Management Development, vol. 38 no. 8
Type: Research Article
ISSN: 0262-1711

Keywords

Article
Publication date: 5 June 2023

Omaima Hajjami and Sunyoung Park

The purpose of this study is to explore the potential contribution of the metaverse to improve training and development as a function of human resource development (HRD…

Abstract

Purpose

The purpose of this study is to explore the potential contribution of the metaverse to improve training and development as a function of human resource development (HRD) perspective. The authors explore the benefits and challenges of the metaverse and introduce cases of companies using the metaverse in training.

Design/methodology/approach

A narrative literature review was conducted to collect information on the metaverse in training. The authors reviewed peer- and non-peer-reviewed articles, book chapters, white papers, corporate websites and blogs and business magazines.

Findings

A total of 75 articles were reviewed, including 14 cases, which were summarized to demonstrate how companies are applying metaverse technology in training contexts. For a more in-depth review, three cases were selected and summarized in terms of context, process and outcomes.

Originality/value

The metaverse is an emergent topic in HRD. It has the potential to revolutionize the functions of training and development through the combination of advanced technologies, including virtual reality, augmented reality and mixed reality. This article is the foundational attempt to provide a comprehensive summary of existing literature and case studies that highlight the potential of the metaverse in training within the context of HRD.

Details

European Journal of Training and Development, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2046-9012

Keywords

Article
Publication date: 1 March 2001

Annette Vincent and Dianne Ross

Training can be personalized using online resources to determine an individual’s learning preferences and personality characteristics. This study provides an overview of learning…

12639

Abstract

Training can be personalized using online resources to determine an individual’s learning preferences and personality characteristics. This study provides an overview of learning style, personality types, and multiple intelligences theories; lists and describes selected testing instruments available on the Internet; and provides strategies for teaching and learning, considering different learning styles.

Details

The Learning Organization, vol. 8 no. 1
Type: Research Article
ISSN: 0969-6474

Keywords

Article
Publication date: 24 August 2023

Yi Deng, Zhiguo Wang, Lin Dong, Yu Lei and Yanling Dong

This systematic review, following preferred reporting items for systematic reviews and meta-analysis guidelines, rigorously investigates the emergent role of virtual reality (VR…

Abstract

Purpose

This systematic review, following preferred reporting items for systematic reviews and meta-analysis guidelines, rigorously investigates the emergent role of virtual reality (VR) technology in human movement training. The purpose of this study is to explore the effectiveness and evolution of VR in enhancing movement training experiences.

Design/methodology/approach

Acknowledging its pivotal role in diverse applications, such as sports and rehabilitation, human movement training is currently experiencing accelerated evolution, facilitated by the proliferation of wearable devices and mobile applications. This review conducted an exhaustive search across five different electronic databases, such as Web of Science, PubMed and ProQuest, resulting in the selection of 69 eligible articles published within the past five years. It also integrates 40 studies into a narrative summary, categorized based on the level of immersion offered by respective VR systems.

Findings

Enhanced immersion in VR potentially augments the effectiveness of movement training by engendering more realistic and captivating experiences for users. The immersive and interactive environments provided by VR technology enable tailored training experiences accompanied by precise, objective feedback. This review highlights the benefits of VR in human movement training and its potential to revolutionize the way training is conducted.

Originality/value

This systematic review contributes significantly to the existing literature by providing a comprehensive examination of the efficacy and evolution of VR in human movement training. By organizing the findings based on the level of immersion offered by VR systems, it provides valuable insights into the importance of immersion in enhancing training outcomes. In addition, this study identifies the need for future research focusing on the impacts of VR on learning and performance, as well as strategies to optimize its effectiveness and improve accessibility.

Details

Robotic Intelligence and Automation, vol. 43 no. 5
Type: Research Article
ISSN: 2754-6969

Keywords

Article
Publication date: 4 March 2019

Ashwani Kumar Upadhyay and Komal Khandelwal

This paper aims to discuss the rationale, theoretical foundation, application, and future of artificial intelligence (AI)-based training.

2270

Abstract

Purpose

This paper aims to discuss the rationale, theoretical foundation, application, and future of artificial intelligence (AI)-based training.

Design/methodology/approach

A review of relevant research papers, articles and case studies is done to highlight developments in research and practice.

Findings

AI-based training systems are smart, intelligent and expert in handling queries. These systems can curate content, grade, evaluate, and provide feedback to trainee, thus making learning adaptive and contextual.

Practical implications

Application of AI is vital in the field of training, as it helps personalization and customization of training programs to increase the effectiveness of training.

Originality/value

Executives and researchers can save time by reading relevant information on the linkage, and its contribution to AI is discussed and summarized in an easy to read format.

Details

Development and Learning in Organizations: An International Journal, vol. 33 no. 2
Type: Research Article
ISSN: 1477-7282

Keywords

Abstract

Details

The Global Private Health & Fitness Business: A Marketing Perspective
Type: Book
ISBN: 978-1-80043-851-4

Open Access
Article
Publication date: 31 August 2023

Ginevra Gravili, Rohail Hassan, Alexandru Avram and Francesco Schiavone

This paper aims to examine the influence of big data (BD) on human resource management (HRM). It defines how these data can be a useful tool in the decision-making process of…

2513

Abstract

Purpose

This paper aims to examine the influence of big data (BD) on human resource management (HRM). It defines how these data can be a useful tool in the decision-making process of companies’ human resources to obtain a sustainable competitive advantage.

Design/methodology/approach

This paper emphasizes the need to develop a holistic approach to emphasize these relations. Starting from these observations, the document proposes empirical research employing Eurostat data to test the benefits of BD in HRM decisions that optimize the relationship between training, productivity, and well-being.

Findings

The findings estimate HRM decisions and their impact in a broader macroeconomic and microeconomic perspective.

Originality/value

BD research is emerging as a crucial discipline in human resources. To overcome this problem, the paper develops an analysis of the literature on cleaner production and sustainability context; it creates a conceptual framework to clarify whether the existing studies consider the growing intensity of BD on human resources.

Details

European Journal of Innovation Management, vol. 26 no. 7
Type: Research Article
ISSN: 1460-1060

Keywords

Article
Publication date: 1 February 1960

AUTOMATION is generally a process superimposed on existing plants, not exactly a thing of shreds and patches, but a compromise between the ideal and the practicable. Rarely is it…

Abstract

AUTOMATION is generally a process superimposed on existing plants, not exactly a thing of shreds and patches, but a compromise between the ideal and the practicable. Rarely is it possible to find it as the basic conception in the mind of the industrialist before even the blue prints of a new manufacturing process have been prepared.

Details

Work Study, vol. 9 no. 2
Type: Research Article
ISSN: 0043-8022

Article
Publication date: 30 August 2022

Pinsheng Duan, Jianliang Zhou and Wenhan Fan

Effective construction safety training has been considered to play a significant role in reducing the incidence of accidents. However, the current safety training methods pay less…

Abstract

Purpose

Effective construction safety training has been considered to play a significant role in reducing the incidence of accidents. However, the current safety training methods pay less attention to the relationship between workers' personalized characteristics and their learning needs, which results in workers' low learning participation and poor training effect. The purpose of this paper is to improve the participation and effect of safety training for construction workers with a persona-based approach.

Design/methodology/approach

This paper presents a persona-based approach to safety tag generation and training material recommendation. By extracting the demographic characteristics and behavior patterns tags of construction workers, a neural network algorithm is introduced to calculate the learning needs tags of workers, and the collaborative filtering recommendation method is integrated to enrich the innovation of recommendation results. Offline experiments and online experiments are designed to verify the rationality of the proposed method.

Findings

The results show that the learning needs of workers are closely related to their background. The proposed method can effectively improve workers' interest in materials and the training effect compared with conventional safety training methods. The research provides a theoretical and practical reference for promoting active safety management and achieving worker-centered safety management.

Originality/value

First, a persona-based approach is introduced to establish a novel framework for solving the problem of personalized construction safety management. Second, an artificial intelligence algorithm is used to automatically extract the learning needs tag values and design a hybrid recommendation method for construction workers' personalized safety training. The collaborative filtering method is integrated to enrich the innovation of recommendation results.

Details

Engineering, Construction and Architectural Management, vol. 31 no. 1
Type: Research Article
ISSN: 0969-9988

Keywords

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