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1 – 3 of 3Eon-seong Lee and Ho-yeol Bang
Effectively managing an intermodal logistics network has become a significant strategic consideration in international logistics. This study aims to empirically examine the way in…
Abstract
Effectively managing an intermodal logistics network has become a significant strategic consideration in international logistics. This study aims to empirically examine the way in which intermodal logistics network coordination can be successfully developed and sustained, and to analyze whether the highly coordinated intermodal logistics network may facilitate the greater logistics performance of network players as well as of the entire intermodal logistic network system. This study adopts social network embeddedness perspective to examine the determinants facilitating the higher level of coordination of the intermodal logistics network. An explorative interview method is being employed for the empirical analysis, and the results show that strong, dense and bridging ties within the network mechanisms facilitate a greater intermodal logistics network coordination. As a result, this helps to enhance the logistics performance of the intermodal logistics network system and its players by facilitating the enhancement of logistics services effectiveness and operational efficiency.
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Pawel Korzynski, Grzegorz Mazurek, Andreas Altmann, Joanna Ejdys, Ruta Kazlauskaite, Joanna Paliszkiewicz, Krzysztof Wach and Ewa Ziemba
The primary purpose of this paper is to examine how generative Artificial Intelligence (AI) such as ChatGPT may serve as a new context for management theories and concepts.
Abstract
Purpose
The primary purpose of this paper is to examine how generative Artificial Intelligence (AI) such as ChatGPT may serve as a new context for management theories and concepts.
Design/methodology/approach
The paper presents the analyses of selected management theories on decision-making, knowledge management, customer service, human resource management and administrative tasks and explains what may change after generative AI adoption.
Findings
The paper indicates that some management theories and concepts need to be studied in the generative AI environment that may influence managerial work at the strategic, functional and administrative levels.
Research limitations/implications
This paper is an opinion piece article and does not refer to empirical data. It formulates some conclusions to further empirical research studies.
Originality/value
The paper analyzes selected management theories in a new technological setting. The paper also provides information about the functions of generative AI that are useful in understanding and overcoming how new technology may change organizations and management.
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