产业集群在推进工业 4.0 解决方案中的作用:波兰汽车业的启示

Marta Mackiewicz, Marta Götz
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In addition to quantitative analysis, a case study approach was used, incorporating primary sources such as interview with cluster managers and surveys of cluster members, as well as secondary sources like company documents and information from cluster organisation websites. Statistical analysis involved assessing the relationship between technology implementation and the adoption of management systems, as well as exploring potential correlations between technology use and company characteristics such as revenue, export revenue share and number of employees using Pearson correlation coefficient.\n\n\nFindings\nIn Poland, implementing I4.0 technologies by cluster companies is still modest. The cluster has influenced the use of I4.0 technologies in 23% of surveyed companies. Every second surveyed company declared a positive impact of a cluster on technological advancement. The use of I4.0 technologies is not correlated with the revenue of clustered companies. A rather bleak picture emerges from the results, revealing a need for more interest among cluster members in advancing I4.0 technologies. This may be due to a comfortable situation in which firms still enjoy alternative competitive advantages that do not force them to seek new advanced advantages brought about by I4.0. It also reflects the sober approach and awareness of associated high costs and necessary investments, which are paramount and prevent successful I4.0 implementation.\n\n\nResearch limitations/implications\nThe limitations inherent in this study reflect the scarcity of the available data. This paper draws on the elementary survey administered centrally and is confined by the type of questions asked. The empirical section focuses on an important, though only one selected sector of the economy – the automotive industry. 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引用次数: 0

摘要

目的 本研究具有探索性,旨在解决文献中记载不足的问题。关于工业 4.0(I4.0)的区域分布或空间组织,包括集群的潜在作用,最近才有所涉及,现有研究大多集中在先进国家,主要是西欧国家。其他国家(如中东欧或波兰等转型后经济体)有关工业 4.0 的文献虽然发展迅速,但仍需更多关注空间分布或地理和组织方面的问题。针对已发现的知识空白,本文旨在确定产业集群在向 I4.0 转型中的作用。本文解释了为什么产业集群对推进第四次数字化转型至关重要,波兰产业集群居民在实施I4.0解决方案方面的先进程度,以及他们如何看待产业集群成员身份在实施I4.0方面的优势。最后,它试图根据收集到的证据制定政策建议。本研究采用的方法结合了对集群基准调查二手数据的定量分析和案例研究方法。这项基准调查由波兰企业发展机构于2021年进行,收集了435名集群成员和41名集群经理的回复,估计占波兰现有集群的57%。除定量分析外,还采用了案例研究的方法,将与集群管理者的访谈、对集群成员的调查等第一手资料,以及公司文件和集群组织网站信息等第二手资料结合起来。统计分析包括评估技术实施与管理系统采用之间的关系,以及使用皮尔逊相关系数探索技术使用与公司特征(如收入、出口收入份额和员工数量)之间的潜在相关性。集群对 23% 的受访公司使用 I4.0 技术产生了影响。每两家受访公司就有一家宣称集群对技术进步产生了积极影响。I4.0 技术的使用与集群企业的收入无关。调查结果显示,集群成员对推进 I4.0 技术需要有更大的兴趣。这可能是由于企业仍然享有其他竞争优势,并没有迫使它们去寻求 I4.0 带来的新的先进优势。这也反映了企业对相关高成本和必要投资的清醒态度和认识,这些成本和投资至关重要,阻碍了 I4.0 的成功实施。研究局限性/影响本研究固有的局限性反映了可用数据的稀缺性。本文借鉴了集中管理的基础调查,并受到所提问题类型的限制。实证部分侧重于一个重要的经济部门--汽车工业,尽管这只是一个选定的部门。尽管如此,本文对波兰产业集群在推进I4.0方面所起作用的分析应能对现有文献起到补充作用。尽管研究存在局限性,但本研究为未来的全面调查开辟了一条道路,使人们能够更深入地了解波兰集群在I4.0应用方面的成熟度。通过将作者对波兰汽车集团(PGM)集群的分析与现有文献进行比较,作者发现了集群催化的理论优势与波兰当前现实之间的明显差距。未来详细的专门调查将解决这些制约因素,并提供更全面的波兰集群 I4.0 成熟度地图。它调查了波兰集群居民采用I4.0解决方案的先进程度,以及他们如何看待集群成员身份在这种转型中的优势。对汽车行业的分析受到了特别关注。将本案例研究中对波兰PGM 产业集群的分析结论与相关文献中的结论进行比较,可以发现,文献中强调的产业集群在企业实施I4.0 技术中的催化作用在波兰的现实中尚未得到充分体现。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The role of clusters in advancing Industry 4.0 solutions: insights from the Polish automotive context
Purpose This study is exploratory in nature and designed to address poorly documented issues in the literature. The dimensions of regional distribution or spatial organisation of Industry 4.0 (I4.0), including the potential role of clusters, have only recently been addressed, with most available studies focusing on advanced, mainly Western European countries. Although developing fast, the literature on I4.0 in other countries, such as the Central and Eastern European or post-transition economies like Poland, needs to pay more attention to the spatial distribution or geographical and organisational aspects. In response to the identified knowledge gap, this paper aims to identify the role of clusters in the transformation towards I4.0. This explains why clusters may matter for advancing the fourth digital transformation, how advanced in implementing I4.0 solutions are the residents of Polish clusters and how they perceive the advantages of cluster membership for such implementation. Finally, it seeks to formulate policy recommendations based on the evidence gathered. Design/methodology/approach The methodology used in this study combines quantitative analysis of secondary data from a cluster benchmarking survey with a case study approach. The benchmarking survey, conducted by the polish agency for enterprise development in 2021, gathered responses from 435 cluster members and 41 cluster managers, representing an estimated 57% of the current clusters in Poland. In addition to quantitative analysis, a case study approach was used, incorporating primary sources such as interview with cluster managers and surveys of cluster members, as well as secondary sources like company documents and information from cluster organisation websites. Statistical analysis involved assessing the relationship between technology implementation and the adoption of management systems, as well as exploring potential correlations between technology use and company characteristics such as revenue, export revenue share and number of employees using Pearson correlation coefficient. Findings In Poland, implementing I4.0 technologies by cluster companies is still modest. The cluster has influenced the use of I4.0 technologies in 23% of surveyed companies. Every second surveyed company declared a positive impact of a cluster on technological advancement. The use of I4.0 technologies is not correlated with the revenue of clustered companies. A rather bleak picture emerges from the results, revealing a need for more interest among cluster members in advancing I4.0 technologies. This may be due to a comfortable situation in which firms still enjoy alternative competitive advantages that do not force them to seek new advanced advantages brought about by I4.0. It also reflects the sober approach and awareness of associated high costs and necessary investments, which are paramount and prevent successful I4.0 implementation. Research limitations/implications The limitations inherent in this study reflect the scarcity of the available data. This paper draws on the elementary survey administered centrally and is confined by the type of questions asked. The empirical section focuses on an important, though only one selected sector of the economy – the automotive industry. Nevertheless, the diagnosis of the Polish cluster’s role in advancing I4.0 should complement the existing literature. Practical implications The exploratory study concludes with policy recommendations and sets the stage for more detailed studies. Amidst the research’s limitations, this study pioneers a path for future comprehensive investigations, enabling a deeper understanding of Polish clusters’ maturity in I4.0 adoption. By comparing the authors’ analysis of the Polish Automotive Group (PGM) cluster with existing literature, the authors uncover a distinct disparity between the theoretical prominence of cluster catalysis and the current Polish reality. Future detailed dedicated enquiries will address these constraints and provide a more comprehensive map of Polish clusters’ I4.0 maturity. Originality/value This study identifies patterns of I4.0 implementation and diagnoses the role of clusters in the transformation towards I4.0. It investigates how advanced is the adoption of I4.0 solutions among the residents of Polish clusters and how they perceive the advantages of cluster membership for such transformation. Special attention was paid to the analysis of the automotive sector. Comparing the conclusions drawn from the analysis of the Polish PGM cluster in this case study to those from the literature on the subject, it becomes clear that the catalytic role of clusters in the implementation of I4.0 technologies by enterprises, as emphasised in the literature, is not yet fully reflected in the Polish reality.
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