2020
DOI: 10.3846/tede.2020.13376
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Predictors of Industry 4.0 Technologies Affecting Logistic Enterprises’ Performance: International Perspective From Economic Lens

Abstract: This study examines the influence of the fourth industrial revolution on global and national economies by considering the case of Hungary, Canada and Poland. The research compares local logistic business to gain insight about the implementation of Industry 4.0 practices through exploring existing limited knowledge, preparing staff for challenges, implementation barriers, recognizing potentials and implications of Industry 4.0. Using mixed sampling strategies, we gathered data from 180 logistic enterpr… Show more

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Cited by 33 publications
(18 citation statements)
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“…To summarise, "[m]odularity in product designs allows the decoupling of the processes for developing new products, with stipulated platform architecture interface rules governing compatibility whilst "enabling those processes to become concurrent, autonomous and distributed," among the ecosystem complementor firms, making possible the adoption of modular business model designs (Sanchez, 1996, p121). Case analysis is a method used for explaining the concepts and expressing them through any suitable methods in social science research (Faizan & Haque, 2019;Ślusarczyk & Haque, 2019;Gusakov, Haque, & Jogia, 2020;Haque, Sher, & Urbański, 2020;Haque, Yamoah, & Sroka, 2020;Kot, Haque, & Baloch, 2020;Rahman et al, 2020;Ślusarczyk et al, 2020;.…”
Section: Resulting Conceptual Frameworkmentioning
confidence: 99%
“…To summarise, "[m]odularity in product designs allows the decoupling of the processes for developing new products, with stipulated platform architecture interface rules governing compatibility whilst "enabling those processes to become concurrent, autonomous and distributed," among the ecosystem complementor firms, making possible the adoption of modular business model designs (Sanchez, 1996, p121). Case analysis is a method used for explaining the concepts and expressing them through any suitable methods in social science research (Faizan & Haque, 2019;Ślusarczyk & Haque, 2019;Gusakov, Haque, & Jogia, 2020;Haque, Sher, & Urbański, 2020;Haque, Yamoah, & Sroka, 2020;Kot, Haque, & Baloch, 2020;Rahman et al, 2020;Ślusarczyk et al, 2020;.…”
Section: Resulting Conceptual Frameworkmentioning
confidence: 99%
“…As part of this area, production machines learn to perform their tasks optimally while simultaneously calibrating their adjustable parameters. Machine learning, cloud computing and feedback in the form of robot calibration based on experience (i.e., historical data also understood as Big Data) are the basic elements of implemented projects [76][77][78]. It is a cyclical process of all work at the start up stage in Industry 4.0 ( Figure 7).…”
Section: Discussionmentioning
confidence: 99%
“…Issues of economic development, taking into account regional specificities, the peculiarities of the formation of economic and political associations, related to the quality of life, the level of development of life-supporting infrastructure, the role of SMEs in the utility sector, issues of innovation, have been repeatedly considered in the works of economists and sociologists (Goley, 1988;Ferrucci, 1995;Garn, 1997;Gregg, 1989;Hong, 1993;Ishigure, 1991;Kiparsky et al, 2013;Krozer et al, 2010;Lobina, 2012;Martins,Williamson, 1994;Miller, 1990;Oka et al, 1996;Palfai et al, 1998;Partzsch, 2009;Peuckert et al, 2012;Robbins, 1998;Hartman et al, 2017;Sirkiä et al, 2017;Barripp et al, 2004;Bowmer, 2004;Thomas, Ford, 2005;Daniell et al, 2014;Wehn, Evers, 2015;Mvulirwenande et al, 2017;Ngo Thu, Wehn, 2016;Gharesifard, Wehn, 2016;Pascual et al, 2013;Boronenko, Lavrinenko, 2015;Shevyakova, Petrenko, 2019;Ślusarczyk et al, 2020;Maldonado Narváez, 2020;Tvaronaviciene, Burinskas, 2020).…”
Section: Entrepreneurship and Sustainability Issuesmentioning
confidence: 99%