Use of Smart Glasses for Boosting Warehouse Efficiency: Implications for Change Management

Background: Warehousing operations, crucial to logistics and supply chain management, often seek innovative technologies to boost efficiency and reduce costs. For instance, AR devices have shown the potential to significantly reduce operational costs by up to 20% in similar industries. Therefore, this paper delves into the pivotal role of smart glasses in revolutionising warehouse effectiveness and efficiency, recognising their transformative potential. However, challenges such as employee resistance and health concerns highlight the need for a balanced trade-off between operational effectiveness and human acceptance. Methods: This study uses scenario and regression analyses to examine data from a German logistics service provider (LSP). Additionally, structured interviews with employees from various LSPs provide valuable insights into human acceptance. Results: The findings reveal that smart glasses convert dead time into value-added time, significantly enhancing the efficiency of order picking processes. Despite the economic benefits, including higher profits and competitive advantages, the lack of employee acceptance due to health concerns still needs to be addressed. Conclusions: After weighing the financial advantages against health impairments, the study recommends implementing smart glass technology in picking processes, given the current state of technical development. This study’s practical implications include guiding LSPs in technology adoption strategies, while theoretically, it adds to the body of knowledge on the human-technology interface in logistics.

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Publication Details

Journal
Logistics
Published
2024-10-17
DOI
https://doi.org/10.3390/logistics8040106
Citations
3
Primary Topic
Advanced Manufacturing and Logistics Optimization
Type
article
Field-Weighted Citation Impact
1.05
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article

Use of Smart Glasses for Boosting Warehouse Efficiency: Implications for Change Management

Dewan Md Zahurul Islam, Muhammad Azmat, Rameez Khalid, Markus Epe
3 citations
Logistics
Advanced Manufacturing and Logistics Optimization
1.05
article

Use of Smart Glasses for Boosting Warehouse Efficiency: Implications for Change Management

Dewan Md Zahurul Islam, Muhammad Azmat, Rameez Khalid, Markus Epe
article en
3 citations

Abstract

Background: Warehousing operations, crucial to logistics and supply chain management, often seek innovative technologies to boost efficiency and reduce costs. For instance, AR devices have shown the potential to significantly reduce operational costs by up to 20% in similar industries. Therefore, this paper delves into the pivotal role of smart glasses in revolutionising warehouse effectiveness and efficiency, recognising their transformative potential. However, challenges such as employee resistance and health concerns highlight the need for a balanced trade-off between operational effectiveness and human acceptance. Methods: This study uses scenario and regression analyses to examine data from a German logistics service provider (LSP). Additionally, structured interviews with employees from various LSPs provide valuable insights into human acceptance. Results: The findings reveal that smart glasses convert dead time into value-added time, significantly enhancing the efficiency of order picking processes. Despite the economic benefits, including higher profits and competitive advantages, the lack of employee acceptance due to health concerns still needs to be addressed. Conclusions: After weighing the financial advantages against health impairments, the study recommends implementing smart glass technology in picking processes, given the current state of technical development. This study’s practical implications include guiding LSPs in technology adoption strategies, while theoretically, it adds to the body of knowledge on the human-technology interface in logistics.

LogisticsVol. 8(4)
Institute of Business Administration Karachi (PK), Aston University (GB), Karachi School for Business and Leadership (PK), Northumbria University (GB), University of Plymouth (GB)
Openalex Percentile: Top 20%
Advanced Manufacturing and Logistics Optimization
1.05
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