Buchholz, Wolfgang
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Institute
Das Konzept der Supply-Chain-Resilienz (SCR) hat seit der Covid-19-Pandemie erheblich
an Bedeutung gewonnen, da Unternehmen verstärkt mit unvorhersehbaren Störungen
in ihren Lieferketten konfrontiert sind. Trotz des zunehmenden Interesses an
SCR bleibt das Potenzial digitaler Technologien, insbesondere im Bereich der Big Data
Analysis (BDA) und Artificial Intelligence (AI), für die Stärkung der Resilienz noch
weitgehend unerforscht. Diese Studie analysiert daher den Einfluss von BDA und AI
auf präventive und reaktive Maßnahmen zur Förderung der SCR. Ein konzeptionelles
Modell wird entwickelt, um präventive und reaktive Maßnahmen zu kategorisieren,
bevor die Nutzung von BDA und SCR näher untersucht wird. Die Ergebnisse deuten
darauf hin, dass digitale Technologien grundsätzlich die SCR unterstützen können;
BDA und AI werden als vielversprechende Technologien identifiziert. Es wird jedoch
festgestellt, dass der Einfluss dieser Technologien je nach proaktivem oder reaktivem
Ansatz etwas variiert. Während digitale Technologien im proaktiven Ansatz einheitlich
als unterstützend wahrgenommen werden, sind die Einschätzungen zum reaktiven Ansatz
vielfältiger.
Nearshoring in der Automobilindustrie: Nur ein Hebel zur Verbesserung der Supply-Chain-Resilienz?
(2025)
Assessing serious games within purchasing and supply management education: an in-class experiment
(2021)
Ecosystem Emergence and Founding Conditions - Lessions Learned from an Imprinting Perspective
(2022)
The rise of ecosystem prominence has provided several definitions of how we understand ecosystems nowadays. In this context, several scholars have considered influencing factors for ecosystem emergence. This paper addresses this consideration and analyzes the salient characteristics of different ecosystem types and their potential persistence since ecosystem founding to improve the understanding of emergence. We applied a three-step approach (1) identifying ecosystem types based on bibliometric analysis, (2) exploring salient characteristics per ecosystem type using qualitative content analysis and (3) deriving founding conditions from the salient characteristics following a conceptual approach. Based on a bibliometric analysis, we identified business/innovation, entrepreneurial and service ecosystems. In a second step, we developed salient characteristics within the themes of structure, power constellation/interdependencies and governance by inductive coding. As we identified a significant difference in alignment structure, we analyzed if alignment structure persists since ecosystem origin and explains why ecosystems differ. We analyzed potential pairings between alignment structure and their respective founding condition for every ecosystem type. With the alignment structures’ persistence, we can better understand why ecosystem types differ.
Innovative business models for data-driven B2B platforms evolve rapidly based on the prospects of digital technology. In addition to the platform provider, service providers on the supply side of the digital platform - the so-called complementors - play an important role in the process of value creation. This paper highlights the complementors’ perspective on the different facets of complementor relationship management (CoRM) and answers the following research questions: From the perspective of a complementor, what are the main fields of CoRM for data-driven B2B platforms? What factors of influence comprise the reason complementors join a platform?
Complementor relationship management for Data-driven B2B platforms: Towards a Holistic approach
(2021)
In the so-called ecosystem economy, new platform-based business models evolve rapidly based on the prospects of digital technology. Especially in the B2B context, data-driven platforms are highly relevant. Thus far, little research has been conducted on the supply side of data-driven platforms and especially on service providers, the so-called complementors. Therefore, this paper offers insights into the various facets of complementor relationship management (CoRM). The paper aims to develop a framework for the management of complementors of data-driven B2B platforms. For empirical evidence, we draw on 14 semi-structured expert interviews with platform managers and complementors. The findings outline two big areas of CoRM and discuss distinct characteristics of partner management and technology management. For partner management the differentiation into open and closed platform needs to be taken into account for complementor relationship management. Moreover, our study reveals the key factors of technology management which lead from platform infrastructure to digital applications like digital twins or predictive maintenance.