A conceptual framework for ergonomic innovations in logistics: enhancing workplace safety through data-driven design

This paper presents a conceptual framework for ergonomic innovations in logistics, emphasizing the integration of ergonomic principles, data-driven design, and stakeholder collaboration to enhance workplace safety, productivity, and employee well-being. It explores the theoretical underpinnings of workplace ergonomics, highlighting the connection between safety, efficiency, and worker satisfaction. The proposed framework outlines four core components: ergonomic assessment, data collection, design innovation, and implementation strategies. It also emphasizes the importance of leveraging data analytics to inform decision-making, adapting to dynamic operational demands, and fostering collaboration among employees, safety experts, and management. The framework’s implementation offers significant organizational benefits, including reduced workplace risks, improved employee health, and measurable economic value through cost savings and increased efficiency. Moreover, the broader applicability of this framework extends to other industries, demonstrating its potential to transform workplace practices globally. The paper concludes with actionable recommendations for practitioners and policymakers to adopt and sustain ergonomic innovations in logistics, ensuring safer and more productive work environments. Keywords: Ergonomic Innovations, Logistics Safety, Data-Driven Design, Workplace Productivity, Employee Well-Being, Occupational Health.

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Publication Details

Journal
Gulf Journal of Advance Business Research
Published
2024-12-29
DOI
https://doi.org/10.51594/gjabr.v2i6.57
Citations
3
Primary Topic
Occupational Health and Safety Research
Type
article
Field-Weighted Citation Impact
1.35
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article

A conceptual framework for ergonomic innovations in logistics: enhancing workplace safety through data-driven design

Anate Benoit Nicaise Abbey, Ekene Cynthia Onukwulu, Areeba Farooq
3 citations
Gulf Journal of Advance Business Research
Occupational Health and Safety Research
1.35
article

A conceptual framework for ergonomic innovations in logistics: enhancing workplace safety through data-driven design

Anate Benoit Nicaise Abbey, Ekene Cynthia Onukwulu, Areeba Farooq
article en
3 citations

Abstract

This paper presents a conceptual framework for ergonomic innovations in logistics, emphasizing the integration of ergonomic principles, data-driven design, and stakeholder collaboration to enhance workplace safety, productivity, and employee well-being. It explores the theoretical underpinnings of workplace ergonomics, highlighting the connection between safety, efficiency, and worker satisfaction. The proposed framework outlines four core components: ergonomic assessment, data collection, design innovation, and implementation strategies. It also emphasizes the importance of leveraging data analytics to inform decision-making, adapting to dynamic operational demands, and fostering collaboration among employees, safety experts, and management. The framework’s implementation offers significant organizational benefits, including reduced workplace risks, improved employee health, and measurable economic value through cost savings and increased efficiency. Moreover, the broader applicability of this framework extends to other industries, demonstrating its potential to transform workplace practices globally. The paper concludes with actionable recommendations for practitioners and policymakers to adopt and sustain ergonomic innovations in logistics, ensuring safer and more productive work environments. Keywords: Ergonomic Innovations, Logistics Safety, Data-Driven Design, Workplace Productivity, Employee Well-Being, Occupational Health.

Gulf Journal of Advance Business ResearchVol. 2(6)
Amazon (United States) (US)
Decent work and economic growth
Openalex Percentile: Top 18%
Occupational Health and Safety Research
1.35
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A conceptual framework for ergonomic innovations in logistics: enhancing workplace safety through data-driven design — Anate Benoit Nicaise Abbey, Ekene Cynthia Onukwulu, et al. · Gulf Journal of Advance Business Research (2024) | TGRS Research Map | TGRS