Use of Smart Glasses for Boosting Warehouse Efficiency: Implications for Change Management
<i>Background:</i> 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 indust...
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| Format: | Article |
| Language: | English |
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MDPI AG
2024-10-01
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| Series: | Logistics |
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| Online Access: | https://www.mdpi.com/2305-6290/8/4/106 |
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| author | Markus Epe Muhammad Azmat Dewan Md Zahurul Islam Rameez Khalid |
| author_facet | Markus Epe Muhammad Azmat Dewan Md Zahurul Islam Rameez Khalid |
| author_sort | Markus Epe |
| collection | DOAJ |
| description | <i>Background:</i> 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. <i>Methods:</i> 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. <i>Results:</i> 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. <i>Conclusions:</i> 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. |
| format | Article |
| id | doaj-art-f491f449c1e74e7daf6c0d67ae9d8706 |
| institution | Kabale University |
| issn | 2305-6290 |
| language | English |
| publishDate | 2024-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Logistics |
| spelling | doaj-art-f491f449c1e74e7daf6c0d67ae9d87062024-12-27T14:36:36ZengMDPI AGLogistics2305-62902024-10-018410610.3390/logistics8040106Use of Smart Glasses for Boosting Warehouse Efficiency: Implications for Change ManagementMarkus Epe0Muhammad Azmat1Dewan Md Zahurul Islam2Rameez Khalid3Business School, University of Plymouth, Cookworthy Building, Plymouth PL4 8AA, UKDepartment of Engineering Systems and Supply Chain Management, Aston University, Birmingham B4 7ET, UKNewcastle Business School, Northumbria University, Newcastle upon Tyne NE1 8ST, UKManagement Department, School of Business Studies, Institute of Business Administration (IBA), University Road, Karachi 75270, Pakistan<i>Background:</i> 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. <i>Methods:</i> 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. <i>Results:</i> 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. <i>Conclusions:</i> 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.https://www.mdpi.com/2305-6290/8/4/106order pickingsmart glassessmart warehousedigitalisationwarehouse operationslogistics performance |
| spellingShingle | Markus Epe Muhammad Azmat Dewan Md Zahurul Islam Rameez Khalid Use of Smart Glasses for Boosting Warehouse Efficiency: Implications for Change Management Logistics order picking smart glasses smart warehouse digitalisation warehouse operations logistics performance |
| title | Use of Smart Glasses for Boosting Warehouse Efficiency: Implications for Change Management |
| title_full | Use of Smart Glasses for Boosting Warehouse Efficiency: Implications for Change Management |
| title_fullStr | Use of Smart Glasses for Boosting Warehouse Efficiency: Implications for Change Management |
| title_full_unstemmed | Use of Smart Glasses for Boosting Warehouse Efficiency: Implications for Change Management |
| title_short | Use of Smart Glasses for Boosting Warehouse Efficiency: Implications for Change Management |
| title_sort | use of smart glasses for boosting warehouse efficiency implications for change management |
| topic | order picking smart glasses smart warehouse digitalisation warehouse operations logistics performance |
| url | https://www.mdpi.com/2305-6290/8/4/106 |
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