The use of artificial intelligence in the HR processes of logistics companies
Research objectives and hypothesis/research questions The article discusses the use of artificial intelligence in human resource management in logistics companies, with particular emphasis on recruitment, training and performance management processes. The considerations presented in the paper allow...
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| Format: | Article |
| Language: | English |
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Military University of Technology, Warsaw
2024-09-01
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| Series: | Nowoczesne Systemy Zarządzania |
| Subjects: | |
| Online Access: | https://nsz.wat.edu.pl/Wykorzystanie-sztucznej-inteligencji-w-procesach-HR-przedsiebiorstw-logistycznych,203229,0,2.html |
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| _version_ | 1850179672720015360 |
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| author | Adam Panek |
| author_facet | Adam Panek |
| author_sort | Adam Panek |
| collection | DOAJ |
| description | Research objectives and hypothesis/research questions
The article discusses the use of artificial intelligence in human resource management in logistics companies, with particular emphasis on recruitment, training and performance management processes. The considerations presented in the paper allow us to formulate the following research questions, which constitute the basis for the argument in this study:
1. Does artificial intelligence increase the efficiency of recruitment processes in logistics companies?
2. Is logistics employees’ level of engagement and productivity affected by the personalization of AI-based training?
3. Does the implementation of AI in the HR of logistics companies have only positive effects?
Research methods
The paper uses case study analysis and literature data as the main research methods. The author used examples of artificial intelligence implementations in logistics companies to illustrate practical applications of the technology in HR processes. These methods made it possible to combine theoretical discussion with a practical approach to the topic.
Main results
The main findings presented in the paper indicate that there are significant benefits to applying AI to HR processes in logistics companies. AI significantly improves recruitment efficiency, enabling faster and more precise matching of candidates to job requirements through the automation of CV analysis and the use of chatbots. Personalization of AI-based training improves employee engagement and productivity, while optimization of work schedules and accurate forecasting of staffing needs allow for better human resource management. The implementation of AI also contributes to lower operational costs and more efficient operations in the logistics environment. At the same time, the paper points out that the effective use of AI requires a responsible approach, taking into account potential risks such as algorithmic biases and employee resistance.
Implications for theory and practice
The work results directly apply to logistics companies, demonstrating the practical benefits of implementing AI. Automating recruitment, personalizing training, and forecasting staffing needs can significantly improve companies’ operational efficiency. At the same time, the author highlights the need to implement AI responsibly, taking into account risks such as algorithmic biases and employee concerns, which can help organizations minimize barriers to adopting new technologies. These findings can serve as guidelines for HR managers implementing AI in their organizations. |
| format | Article |
| id | doaj-art-ae2147fd83884b878ef24fcbf1ee67ac |
| institution | OA Journals |
| issn | 1896-9380 2719-860X |
| language | English |
| publishDate | 2024-09-01 |
| publisher | Military University of Technology, Warsaw |
| record_format | Article |
| series | Nowoczesne Systemy Zarządzania |
| spelling | doaj-art-ae2147fd83884b878ef24fcbf1ee67ac2025-08-20T02:18:27ZengMilitary University of Technology, WarsawNowoczesne Systemy Zarządzania1896-93802719-860X2024-09-01193294010.37055/nsz/203229203229The use of artificial intelligence in the HR processes of logistics companiesAdam Panek0https://orcid.org/0009-0004-3080-4015Akademia Piotrkowska, Piotrków Trybunalski, PolskaResearch objectives and hypothesis/research questions The article discusses the use of artificial intelligence in human resource management in logistics companies, with particular emphasis on recruitment, training and performance management processes. The considerations presented in the paper allow us to formulate the following research questions, which constitute the basis for the argument in this study: 1. Does artificial intelligence increase the efficiency of recruitment processes in logistics companies? 2. Is logistics employees’ level of engagement and productivity affected by the personalization of AI-based training? 3. Does the implementation of AI in the HR of logistics companies have only positive effects? Research methods The paper uses case study analysis and literature data as the main research methods. The author used examples of artificial intelligence implementations in logistics companies to illustrate practical applications of the technology in HR processes. These methods made it possible to combine theoretical discussion with a practical approach to the topic. Main results The main findings presented in the paper indicate that there are significant benefits to applying AI to HR processes in logistics companies. AI significantly improves recruitment efficiency, enabling faster and more precise matching of candidates to job requirements through the automation of CV analysis and the use of chatbots. Personalization of AI-based training improves employee engagement and productivity, while optimization of work schedules and accurate forecasting of staffing needs allow for better human resource management. The implementation of AI also contributes to lower operational costs and more efficient operations in the logistics environment. At the same time, the paper points out that the effective use of AI requires a responsible approach, taking into account potential risks such as algorithmic biases and employee resistance. Implications for theory and practice The work results directly apply to logistics companies, demonstrating the practical benefits of implementing AI. Automating recruitment, personalizing training, and forecasting staffing needs can significantly improve companies’ operational efficiency. At the same time, the author highlights the need to implement AI responsibly, taking into account risks such as algorithmic biases and employee concerns, which can help organizations minimize barriers to adopting new technologies. These findings can serve as guidelines for HR managers implementing AI in their organizations.https://nsz.wat.edu.pl/Wykorzystanie-sztucznej-inteligencji-w-procesach-HR-przedsiebiorstw-logistycznych,203229,0,2.htmlpersonnel managementmanagement challengesartificial intelligencehuman resourceslogistics companies |
| spellingShingle | Adam Panek The use of artificial intelligence in the HR processes of logistics companies Nowoczesne Systemy Zarządzania personnel management management challenges artificial intelligence human resources logistics companies |
| title | The use of artificial intelligence in the HR processes of logistics companies |
| title_full | The use of artificial intelligence in the HR processes of logistics companies |
| title_fullStr | The use of artificial intelligence in the HR processes of logistics companies |
| title_full_unstemmed | The use of artificial intelligence in the HR processes of logistics companies |
| title_short | The use of artificial intelligence in the HR processes of logistics companies |
| title_sort | use of artificial intelligence in the hr processes of logistics companies |
| topic | personnel management management challenges artificial intelligence human resources logistics companies |
| url | https://nsz.wat.edu.pl/Wykorzystanie-sztucznej-inteligencji-w-procesach-HR-przedsiebiorstw-logistycznych,203229,0,2.html |
| work_keys_str_mv | AT adampanek theuseofartificialintelligenceinthehrprocessesoflogisticscompanies AT adampanek useofartificialintelligenceinthehrprocessesoflogisticscompanies |