Culot Giovanna, Orzes Guido, Sartor Marco, Nassimbeni Guido
Polytechnic Department of Engineering and Architecture, University of Udine, Via delle Scienze 208, 33100 Udine, Italy.
Faculty of Science and Technology, Free University of Bozen-Bolzano, Italy.
Technol Forecast Soc Change. 2020 Aug;157:120092. doi: 10.1016/j.techfore.2020.120092. Epub 2020 Apr 29.
Industry 4.0 is expected to impart profound changes to the configuration of manufacturing companies with regards to what their value proposition will be and how their production network, supplier base and customer interfaces will develop. The literature on the topic is still fragmented; the features of the emerging paradigm appear to be a contested territory among different academic disciplines. This study assumes a value chain perspective to analyze the evolutionary trajectories of manufacturing companies. We developed a Delphi-based scenario analysis involving 76 experts from academia and practice. The results highlight the most common expectations as well as controversial issues in terms of emerging business models, size, barriers to entry, vertical integration, rent distribution, and geographical location of activities. Eight scenarios provide a concise outlook on the range of possible futures. These scenarios are based on four main drivers which stem from the experts' comments: demand characteristics, transparency of data among value chain participants, maturity of additive manufacturing and advanced robotics, and penetration of smart products. Researchers can derive from our study a series of hypotheses and opportunities for future research on Industry 4.0. Managers and policymakers can leverage the scenarios in long-term strategic planning.
工业4.0预计将给制造企业的配置带来深刻变革,涉及它们的价值主张是什么,以及其生产网络、供应商基础和客户界面将如何发展。关于这一主题的文献仍然零散;新兴范式的特征似乎在不同学术学科之间存在争议。本研究采用价值链视角来分析制造企业的演变轨迹。我们开展了一项基于德尔菲法的情景分析,涉及76位来自学术界和实践界的专家。结果突出了在新兴商业模式、规模、进入壁垒、垂直整合、租金分配和活动地理位置方面最常见的预期以及有争议的问题。八个情景提供了对一系列可能未来的简要展望。这些情景基于四个主要驱动因素,这些因素源于专家的意见:需求特征、价值链参与者之间数据的透明度、增材制造和先进机器人技术的成熟度以及智能产品的渗透率。研究人员可以从我们的研究中得出一系列关于工业4.0未来研究的假设和机会。管理者和政策制定者可以在长期战略规划中利用这些情景。