relationship between business model innovation and productivity following the adoption of digital technologies

在寻找价值的过程中，许多制造企业已经投入了大量的资金来实现价值链的数字化。这种“工业4.0”的模式承诺了生产率的前所未有的增长，这是一个关键数字，通常与公司的竞争力和盈利能力有关。然而，尽管有大量投资，许多制造企业目前正面临着生产力的停滞甚至下降。这种悖论的发展，被广泛地称为“生产率悖论”，带来了一个巨大的结构性问题。它严重降低了制造业企业的竞争力和盈利能力，这些企业在当今日益全球化的市场中承受着巨大的经济压力。一个解释和解决这一悖论的综合理论表明，制造企业往往没有瞄准和提取创新数字技术的全部价值。由于复杂的组织流程、被忽视的市场机会分析和缺失的奖励，他们常常把它们套用到已经存在的商业模式中。因此，制造企业通常只能实现产品或效率的增量改进。然而，为了在整个价值链中充分利用它们的价值，有必要将新的数字技术与底层商业模式（公司的价值获取、主张和创造机制）的充分创新相结合。对这一理论的有力支持可以在不同的文学流派中找到。然而，尽管对商业模式创新及其在企业数字化中的作用的关注正在迅速增长，但该理论迄今尚未得到实证证实。在数字技术背景下，商业模式创新与其价值提升能力之间的很大一部分联系仍未得到探索。这一研究缺口让学者和从业者对欧洲制造商的数字化转型为何会如此大规模地失败一无所知。类似于“呼吁行动”，本论文的目的是解决这一重要的研究差距。作为我与斯坦福大学的leifer教授和剑桥大学的Velu博士合著的管理和工程硕士论文的一部分，在过去的12个月里，我一直在收集这一领域的知识，分析商业模式创新的不同方面及其数字技术的价值提升能力。结果表明，在汽车制造业中，商业模式创新与生产率增长之间存在着显著的联系。然而，尽管这是一个非常有希望的发现，该研究也揭示了很大一部分的根本原因和结论性联系仍然缺乏理论基础和实证分析，以证实商业模式创新是生产率悖论的解决方案。因此，本博士学位的目的是为管理研究和数字化转型文献做出贡献，以填补这一研究空白，同时满足执行经理和从业者对框架、工具和答案的高要求，这些框架、工具和答案有助于解决生产力危机。

On the search for value, many manufacturing firms have undertaken significant financial efforts in order to digitalise their value chains. This paradigm of an 'Industry 4.0' promises an unprecedented growth in productivity, a key figure, generally associatedwith the competitiveness and profitability of companies. However, despite large investments, many manufacturing firms are currently facing a stagnation or even a decline of their productivity. This paradox development, widely known as the 'Productivity Paradox', poses a large structural problem. It critically reduces the competitiveness and profitability of manufacturing firms which are standing under high economic pressurein today's increasingly globalised markets. A comprehensive theory to explain and solve this paradox suggests that manufacturing firms often don't target and extract the full value of innovative digital technologies. Due to elaborate organisational processes, neglected market opportunity analyses and missing rewards they fit them often into already existing Business Models. Therefore, manufacturing firms achieve usually onlyincremental product- or efficiency improvements. To exploit their full value throughout the value chain, however, it would be necessary to pair the new digital technologies with an adequate innovation of the underlying Business Model - the value capturing,proposition and creation mechanisms of a company. Promising support for this theory can be found in different literature streams. Nonetheless, although the attention for Business Model Innovation and their role in the digitalisation of firms is growing quickly, the theory has so far not been corroborated empirically. A large fraction of the connections between Business Model Innovations and their value enhancing capabilities in the context of digital technology remain unexplored. This research gap leaves scholars as well as practitioners clueless about whythe digital transformation of European manufacturers is failing on such a large scale. Resembling a 'call to action', the purpose of this dissertation is to tackle this important research gap. As part of my management and engineering master theses with Prof.Leifer in Stanford and Dr. Velu in Cambridge I have already been gathering knowledge in this field, analysing different aspects of Business Model Innovations and their valueenhancing capabilities of digital technologies over the last 12 months. The results show that there is in fact a significant connection between Business Model Innovation and productivity growth in the automotive manufacturing sector. However, despite this verypromising finding the study also revealed that a large fraction of root causes and conclusive connections still lack theoretical underpinning and empirical analysis in order to confirm that Business Model Innovations are a solution to the productivity paradox. Thus, the purpose of this PhD is to contribute to the management research- and digital transformation literature in order to fill this research gap while meeting the high demand of executive managers and practitioners for frameworks, tools and answers which could help to solve the productivity crisis.