@inproceedings{DelkeSchieleBuchholz2020, author = {Delke, Vincent and Schiele, Holger and Buchholz, Wolfgang}, title = {Mind the Gap: Identifying Skill Gaps in Purchasing and Supply Management}, series = {Proceedings 29th IPSERA conference}, booktitle = {Proceedings 29th IPSERA conference}, year = {2020}, abstract = {Nowadays, the human-centric discipline of purchasing and supply management (PSM) is of strategic importance for firms' success. Within the discipline, scholars address PSM professionals' skills and provide practitioners with academic insights. Due to changes in the industry environment, changes in the working environment and the task of purchasing professionals are assumed. This paper aims to contribute to the PSM professional skills literature by defining current PSM professionals' skill gaps as the difference between the acquired skill level and perceived skill importance. Findings show that current PSM professionals feel to be underqualified to abstract the full potential of professional relationships, as buyer-supplier relationships, due to current PSM professionals' skill gaps.}, language = {en} } @inproceedings{DelkeSchieleBuchholz2020, author = {Delke, Vincent and Schiele, Holger and Buchholz, Wolfgang}, title = {Identifying Future Skills Requirements: Differentiating between Direct and Indirect Material Purchasers}, series = {Proceedings 29th IPSERA conference}, booktitle = {Proceedings 29th IPSERA conference}, year = {2020}, abstract = {The global development towards the Fourth Industrial Revolution, the so-called Industry 4.0, is steaming forwards. Where cyber-physical systems connect the physical and digital world, allowing for demand identification, without the need for direct human intervention. Further, Artificial Intelligence supports various parts of operative and strategic purchasing. The new purchasing environment forces purchasing professionals to develop new skills. Research is needed to identify appropriate skill sets. Based on a World-Caf{\´e} method with 82 purchasing professionals, a list of 32 essential future skills in purchasing is composed. Further, the identified skills are ranked and assigned to the roles of the direct and indirect material purchasers.}, language = {en} } @inproceedings{BuchholzKappel2020, author = {Buchholz, Wolfgang and Kappel, Antonia}, title = {Purchasing in service networks: The impact of high visibility on purchasing performance}, series = {IPSERA Conference Proceedings}, booktitle = {IPSERA Conference Proceedings}, publisher = {IPSERA}, doi = {10.25974/fhms-13742}, url = {http://nbn-resolving.de/urn:nbn:de:hbz:836-opus-137427}, pages = {1 -- 25}, year = {2020}, abstract = {While the service sector is growing rapidly, the purchasing of services has not yet received significant attention in theory or practice. Service purchasers face serious challenges, and existing purchasing practices for services are often non-strategic. We choose an exploratory-qualitative research approach to investigate the purchasing of IT, logistics and Maintenance, Repair, and Overhaul (MRO) services. In particular, we focus on the role of visibility and analyze how service purchasers can benefit from extensive knowledge about their service networks. We determine that visibility indeed adds significant value to service purchasing and can help service purchasers to decrease costs, mitigate risks and maintain competitiveness.}, language = {en} } @techreport{BuchholzdeBie2020, type = {Working Paper}, author = {Buchholz, Wolfgang and de Bie, Holger}, title = {A Paradigm Shift in Times of Digital Transformation: What are the Determinants of Bank-Fintech Cooperation? Empirical Evidence from the Financial Service Sector}, pages = {18}, year = {2020}, abstract = {The financial services sector is undergoing a digital transformation. But the emerging picture is very different from the innovation-driven revolution that was initially expected. Due to the variety of challenges, banks and mostly young financial technology companies (fintechs) are increasingly cooperating instead of competing. Yet despite the rapidly growing importance of bank-fintech cooperation, there is still a lack of empirical evidence on the determinants. We use an explorative research design and conduct semi-structured interviews to contribute to this research field. Our findings illustrate that banks are primarily concerned with access to innovation, while fintechs mainly focus on balancing their resource constraints.}, language = {en} } @techreport{BuchholzdeBie2020, type = {Working Paper}, author = {Buchholz, Wolfgang and de Bie, Holger}, title = {Managing the Supply-Side of Digital Platforms: First Insights from the Financial Services Sector}, pages = {19}, year = {2020}, abstract = {The aim of this paper is to contribute knowledge on the interface and relationship be-tween digital platforms in the financial services sector and the service providers on its supply-side. Based on an explorative research design with literature research and three expert interviews, we examine the categories of service providers that can be distin-guished, the factors of influence that are relevant for selecting service providers, and the main benefits and risks for partnerships with service providers. The results are a starting point for deeper investigation and the creation of research questions for future projects in other industries.}, language = {en} } @incollection{EngelkingBuchholzKoehne2020, author = {Engelking, Bastian and Buchholz, Wolfgang and K{\"o}hne, Frank}, title = {Design Principles for the Application of Machine Learning in Supply Chain Risk Management: An Action Design Research Approach}, series = {Supply Management Research / Ed. Christoph Bode}, booktitle = {Supply Management Research / Ed. Christoph Bode}, publisher = {Springer}, address = {Berlin}, publisher = {FH M{\"u}nster - University of Applied Sciences}, pages = {1 -- 28}, year = {2020}, abstract = {The opportunity to anticipate delivery failures, shortages or delays in company's upstream supply chains at an early stage facilitates to take preventive countermeas-ures to mitigate potential damage. However, data-driven predictive technologies such as machine learning (ML) are rarely examined in supply chain risk management (SCRM). The purpose of the following paper is to present a framework of design principles for the application of ML in SCRM. The foundation of this framework is an action design research (ADR) project, which is performed in collaboration with the SCRM department of an automotive company. A predictive ML model is developed and evaluated in collaboration with the company. Based on the findings and observa-tions made during the project, general design principles are derived and grouped by the three interrelated elements of organisation, development and operation, which are to be considered when applying ML in SCRM. Finally, the derived elements and the corresponding design principles are discussed and justified with reference to the literature.}, language = {en} }