Human Resource and Knowledge Management

Klumpp, Matthias; Bioly, Sascha; Neukirchen, Thomas

doi:10.1007/978-3-319-92447-2_10

Cited by 2 publications

(3 citation statements)

References 25 publications

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“…Whereas in the past many blue collar jobs in logistics required a basic school education and rudimentary qualification levels, it is clear that these jobs now require increased competences. The same is true for white collar jobs in logistics [10]. The market for freight transport, logistics and shipping services is impressive from the point of view of the activities developed, but not very effective from that of the economic results obtained.…”

Section: Port Labor Railway Work and Intermodal Transport In Italy Bmentioning

confidence: 96%

“…Along with that, the scientific literature acknowledges that the future innovations in logistics and supply chain management are driven by technological, regional, economic and social changes. The logistics and transportation industry has become a knowledge-intensive service industry, similar to other sectors such as banking, insurance, and engineering [10]. The digital transformation has reconfigured both businesses and personal lifes in recent decades, with an unprecedented growth in the production and usage of data.…”

Section: The Logistics Labor Marketmentioning

confidence: 99%

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The Logistics Labor Market in the Context of Digitalization: Trends, Issues and Perspectives

Bottalico

2021

Lecture Notes in Logistics

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This chapter aims to provide a general picture of the current transformations in the logistics labor market in the light of digitalization and automation processes, affecting working conditions, job profiles, training systems, and skills required. The chapter reflects on the implications of labor dynamics along the maritime-logistics chain, and on a reconfiguration of the human resource management in the future, due to the ongoing structural changes and dynamics that suggest the brink of a new technological leap in the capitalist system. The digital transition related to the ongoing crisis with the social and employment consequences deriving from the technological change in the production system, could speed up the changing processes related to digitalization and automation on the logistics labor market. In light of these new scenarios, this chapter seeks to outline an explanatory framework for analyzing the logistics labor market in the context of digitalization, with its peculiarities, challenges and trends.

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Section: Port Labor Railway Work and Intermodal Transport In Italy Bmentioning

confidence: 96%

Section: The Logistics Labor Marketmentioning

confidence: 99%

The Logistics Labor Market in the Context of Digitalization: Trends, Issues and Perspectives

Bottalico

2021

Lecture Notes in Logistics

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“…The integration of Artificial Intelligence (AI) has presented numerous opportunities for enhancing employee productivity (Felten et al, 2019;Malik et al, 2022;Manav & Seamans, 2018;Seamans & Raj, 2018). The advent of Industry 4.0 has brought about significant changes, emphasizing the need for organizations to adapt and optimize their Human Resource (HR) functions (Klumpp et al, 2019;Malik et al, 2022). As businesses strive to stay competitive, human resources (HR) capabilities have become increasingly critical in leveraging the benefits of AI in the digital era.…”

Section: Introductionmentioning

confidence: 99%

Enhancing Employee Productivity Through Technology System AI-Based Approaches

Fitri,

Ratnasari,

Suyanto

et al. 2023

ISBEST

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This research aims to address the research gap regarding the use of AI in enhancing employee productivity. The study focuses on the role of AI in employee engagement and performance evaluation. The research adopts a quantitative approach, comparing various AI-based algorithms such as random forest, artificial neural network, decision tree, and XGBoost. The study proposes an ensemble approach called RanKer, which combines these algorithms to provide performance ratings for employees. The empirical results demonstrate the efficacy of the proposed model in terms of precision, recall, F1-score, and accuracy. Additionally, the research explores the impact of AI on employee engagement, highlighting the potential for real-time monitoring, sentiment analysis, and natural language processing to create a holistic work environment that promotes clarity, skill development, recognition, and wellness. The findings suggest that the combination of AI and employee engagement can lead to increased productivity, improved communication, and a collaborative work environment. This research contributes to the understanding of how AI can be leveraged to enhance employee productivity and provides recommendations for expanding the use of AI in employee engagement practices.

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Human Resource and Knowledge Management

Cited by 2 publications

References 25 publications

The Logistics Labor Market in the Context of Digitalization: Trends, Issues and Perspectives

The Logistics Labor Market in the Context of Digitalization: Trends, Issues and Perspectives

Enhancing Employee Productivity Through Technology System AI-Based Approaches

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