Characteristics of Resources as a Determinant of Implementation of the Physical Internet Concept in Supply Chains

Adamczak, Michał; Hadaś, Łukasz; Stachowiak, Agnieszka; Domański, Roman; Cyplik, Piotr

doi:10.1007/978-3-030-18715-6_7

Cited by 1 publication

(1 citation statement)

References 20 publications

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“…In the literature review, the term Industry 4.0 listed many components and applications of Industry 4.0. Based on Adamczak et al (2019), Chen et al (2017), Culot et al (2020), Ghobakhloo (2018), Hermann et al (2016, Hossain and Muhammad (2016), Ivanov et al (2016), Kagermann et al (2013), Kamble et al (2020), Kang et al (2016), Kolberg et al (2017). Kosacka-Olejnik and Pitakaso (2019), Lasi et al (2014), Li et al (2020), Müller, Buliga, andVoigt (2018), Oesterreich and Teuteberg (2016), Pfohl et al (2015), Posada et al (2015), Ramirez-Peña et al (2020), Sadeghi et al (2015), Schmidt et al (2015), Stachowiak et al (2019), Szajna et al (2020), Tiwari and Khan (2020), Thoben et al (2017), Vogel-Heuser and Hess (2016), Xu et al (2018, Wan et al (2016), Wollschlaeger et al (2017), Wu et al (2013), Zawadzki and Zywicki (2016), Zhong et al (2017), there are many applications of Industry 4.0, the main are as follows:…”

Section: Industry 40 and Logistics 40mentioning

confidence: 99%

Influence of the Characteristics of Young Logisticians on the Level of Acceptance of Work in an Automated and Robotic Environment – A Survey Study

Wojciechowski¹,

Adamczak²

2021

ERSJ

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Purpose: Analysis of the impact of selected characteristics of young logisticians on the acceptance level and the level of anxiety related to working in an automated and robotic environment. Design/Methodology/Approach: The study was conducted using a questionnaire in which the questions were divided into two main sections. The first section was used to identify the individual characteristics of the respondents, the second section concerned the direct relation to work in an automated and robotized environment. Findings: Logistics students point to more positive aspects of using automated solutions and robots than negative ones. There are also features of these people determining the level of acceptance and the level of fear of working in an automated and robotized environment. Practical Implications: Knowledge of the features that predispose an employee to work in automated and robotic systems will allow for more effective recruitment and training, which will give a chance in an increase in the efficiency of processes. Originality/Value: The conducted research completes the research gap in the form of the lack of research on the relationship between the characteristics of young logistics professionals and the level of their acceptance of work in an automated and robotized environment.

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