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Auflistung nach Schlagwort "Procurement"

1 - 7 von 7
  • Zeitschriftenartikel
    Kombinatorische Auktionen in der betrieblichen Beschaffung
    (Wirtschaftsinformatik: Vol. 47, No. 2, 2005) Bichler, Martin; Pikovsky, Alexander; Setzer, Thomas
    Combinatorial auctions are promising auction formats for industrial and public procurement. Potential advantages of using combinatorial auctions include decreased overall spend, low transaction costs for multi-item negotiations, fairness and market transparency for suppliers, as well as high allocative efficiency. A number of fundamental design considerations are relevant to the application of combinatorial auctions in procurement. In addition, procurement specialists need to consider several domain-specific requirements, such as additional side constraints as well as alternative multidimensional bid types.
  • Zeitschriftenartikel
    Kombinatorische Auktionen in der betrieblichen BeschaffungEine Analyse grundlegender Entwurfsprobleme – An Analysis of Design Problems in Combinatorial Procurement Auctions
    (Wirtschaftsinformatik: Vol. 51, No. 1, 2009) Bichler, Martin; Pikovsky, Alexander; Setzer, Thomas
    Traditionelle Auktionsverfahren sind auf reine Preisverhandlungen mit einfachen, standardisierten Gütern beschränkt. Kombinatorische Auktionen ermöglichen die Abgabe von Bündelgeboten und dadurch die effiziente Durchführung von Verhandlungen über mehrere Güter. Der Einsatz in der betrieblichen Beschaffung ist durch eine Reihe von Besonderheiten gekennzeichnet:Die Auswahl der Gewinner führt zu Optimierungsproblemen, bei denen in der Beschaffung zahlreiche betriebswirtschaftlich motivierte Nebenbedingungen beachtet werden müssen.Iterative Verfahren sind aus mehreren Gründen die am weitesten verbreiteten Auktionsformate in der Beschaffung.Die unterschiedlichen Güter, die in der betrieblichen Praxis beschafft werden, erfordern eine Vielfalt von Gebotstypen zur Berücksichtigung qualitativer Attribute oder von Mengenrabatten, die bisher noch wenig untersucht wurden. In diesem Beitrag sollen grundlegende Entwurfsprobleme Kombinatorischer Auktionen charakterisiert und Besonderheiten bei Anwendungen in der betrieblichen Beschaffung diskutiert werden.Dieser Beitrag, ausgewählt für die Kategorie „Beste Beiträge von 1959 bis 2008“, wurde zuerst in WIRTSCHAFTSINFORMATIK 47(2)2005:126–134 veröffentlicht. Rechtschreibung und Zitierweise wurden an den aktuellen Stand angepasst.AbstractTraditional auction mechanisms support price negotiations on a single item. The Internet allows for the exchange of much more complex offers in real-time. This is one of the reasons for much research on multidimensional auction mechanisms allowing negotiations on multiple items, multiple units, or multiple attributes of an item, as they can be regularly found in procurement. Combinatorial auctions, for example, enable suppliers to submit bids on bundles of items. A number of laboratory experiments has shown high allocative efficiency in markets with economies of scope. For suppliers it is easier to express cost savings due to bundling (e. g., decreased transportation or production costs). This can lead to significant savings in total cost of the procurement manager. Procurement negotiations exhibit a number of particularities:It is often necessary to consider qualitative attributes or volume discounts in bundle bids. These complex bid types have not been sufficiently analyzed.The winner determination problem requires the consideration of a number of additional business constraints, such as limits on the spend on a particular supplier or the number of suppliers.Iterative combinatorial auctions have a number of advantages in practical applications, but they also lead to new problems in the determination of ask prices. In this paper, we will discuss fundamental problems in the design of combinatorial auctions and the particularities of procurement applications.Reprint of an article from WIRTSCHAFTSINFORMATIK 47(2)2005:126–134.
  • Konferenzbeitrag
    Overcoming Inefficiency in Public Procurement: An OpenData Approach
    (INFORMATIK 2023 - Designing Futures: Zukünfte gestalten, 2023) Klassen, Gerhard; Palombo, Raphael; Bauer, Luca T.; Niehaves, Björn
    This paper discusses the need for an OpenData platform with data-based services to ad- dress the challenges facing the public procurement market. In the last 15 years, public procurement has doubled and now accounts for 15% of GDP. However, there is a shortage of skilled workers, and many tenders are still created manually. By leveraging advanced technologies such as machine learning and predictive analytics, we aim to improve the efficiency and effectiveness of public pro- curement. Our paper highlights the urgent need for a data-driven approach to public procurement and presents our plans for an OpenData platform that can deliver significant benefits to both the public sector and private enterprises.
  • Konferenzbeitrag
    Process Mining und Künstliche Intelligenz in der Beschaffung
    (INFORMATIK 2023 - Designing Futures: Zukünfte gestalten, 2023) Barenkamp, Marco; Moualeu-Ngangue, Dany
    Die wachsende Bedeutung der betrieblichen Beschaffung für den Unternehmenserfolg ist auf die Internationalisierung der Beschaffungsmärkte und den Einsatz neuer Technologien zurückzuführen. Die steigende Komplexität und mangelnde Transparenz der Lieferketten und Beschaffungsprozesse stellen jedoch Herausforderungen dar, die durch den Einsatz veralteter Technologien und manueller Prozesse oft verschärft werden. Moderne Technologien wie Process Mining und Künstliche Intelligenz können zur Lösung dieser Probleme beitragen, indem sie Prozesse visualisieren, Ineffizienzen aufdecken und große Mengen von Daten schnell analysieren. Durch die Automatisierung von Routineaufgaben wird die Effizienz erhöht und gleichzeitig Raum für strategische Initiativen wie weitere Digitalisierung und Automatisierung geschaffen. Die Analyse und Integration von Unternehmensdaten in Echtzeit ermöglichen fundierte Entscheidungen und eine verbesserte Risikosteuerung. In diesem Paper wird der Einsatz von Process Mining und Künstlicher Intelligenz (KI) in der Beschaffung eines real durchgeführten Projekts vorgestellt, um, unter Berücksichtigung von Konzepten des Maschinellen Lernens (ML) zur Optimierung des Beschaffungsprozesses in Unternehmen, langfristig Kostensenkungen, optimale Lagerbestände, erhöhte Produktivität, bessere Prozesstransparenz sowie Qualitätssteigerungen zu erreichen. Eingesetzt wurde dabei das Konzept der Zeitreihenanalyse in Verbindung mit Maschinellem Lernen. Es wurden dabei verschiedene Strategien an Prognosen, einschließlich direkter, rekursiver und mehrstufiger Ansätze, sowie Methoden zur Datenextraktion und Merkmalsextraktion eingesetzt und vorgestellt.
  • Zeitschriftenartikel
    Reverse procurement and auctions for consumers
    (Wirtschaftsinformatik: Vol. 48, No. 1, 2006) Klafft, Michael; Spiekermann, Sarah
    Executive SummaryWeb-based bid invitation platforms and reverse auctions are increasingly used by consumers for the procurement of goods and services. An empirical examination shows that with B-2-C these procurement methods generate considerable benefits for the consumer:⊎ Reverse auctions and bid invitation platforms generate high consumer surplus in the procurement of general and crafts services.⊎ The level of this consumer surplus is affected by the number of bidders. The duration of the auction and the starting price are less important.⊎ In the painting business prices are considerably lower than with traditional procurement channels.⊎ On bid invitation platforms, in most cases (> 55%) the bids with the lowest price are chosen.AbstractWeb-based reverse auctions and bid invitation platforms have been used successfully for the procurement of goods and services in B-2-B and B-2-G contexts for some time. More recently, such procurement tools have become available to consumers and are increasingly gaining in popularity. An empirical examination of more than 1400 bid invitations and over 1100 reverse auctions shows that these two types of platforms generate noteworthy consumer surpluses, with the number of bidders being by far the most relevant factor in the determination of surplus levels. Contrary to traditional auction environments like eBay, auction duration and starting prices turn out to be of little relevance for consumer surpluses, as correlation and regression analyses show. The analysis of procurement data further reveals that consumer-driven platforms are particularly suitable for purchases of crafts and services where they provide an efficient mechanism to bring together buyers and sellers and match supply and demand. An exemplary review of results from painting auctions indicates that the price level achieved by consumers in reverse e-procurement is below reference prices which can be obtained in traditional procurement channels. Being an attractive alternative, reverse e-procurement platforms could bring about a paradigm shift towards buyer-centred e-purchasing.
  • Zeitschriftenartikel
    The procurement alignment framework construction and application
    (Wirtschaftsinformatik: Vol. 48, No. 5, 2006) Beukers, Mark; Versendaal, Johan; Batenburg, Ronald; Brinkkemper, Sjaak
    Procurement has become increasingly important for organizations acting in dynamic supply chains and competitive markets. In practice however, companies struggle with adapting and improving their procurement business function. In line with the general trend in management and organization studies, both scholars and practitioners aim to define an integrated procurement policy that is truly aligned on all organizational and IT aspects. The central aim of this paper is to present a framework that supports the definition and application of such an integrative procurement approach. The framework is developed upon insights from IT business alignment (more specifically IT Procurement alignment), procurement maturity measurement and segmentation. It facilitates organizations in monitoring the maturity and alignment of their procurement on five different business/IT perspectives. In addition, the framework enables specific procurement improvements by taking the situational aspect of procurement segmentation into account. The framework was validated twice: through interview expert consulting and through a questionnaire using scale analysis. In a case study it was found suitable for assessing procurement maturity and identifying concrete procurement improvements.
  • Research Paper
    Turning Tenders into Tinder: How AI and Open Data can spark Bidding Matches
    (7. Fachtagung Rechts- und Verwaltungsinformatik (RVI 2024): Neue Wege der Zusammenarbeit und Vernetzung für digitale Transformation und Verwaltungsmodernisierung, 2024) Klassen, Gerhard; Bauer, Luca T.; Fritzsche, Robin; Kordyaka, Bastian; Weber,Sebastian; Niehaves, Björn
    Public procurement in Germany, accounting for 15% of GDP, is plagued by inefficiencies, high costs, and lack of transparency. This study investigates how Open Data can enhance competitive bidding and streamline the identification of suitable companies. Using the German public procurement market, we propose a web-based portal employing machine learning to automate tender and bidder matchmaking. Our methodology includes data collection, company profiling, and NLPbased similarity searches. Results indicate that integrating Open Data can increase competition, improve bid quality, and enhance procurement efficiency. This research provides a scalable framework for more transparent and effective public procurement practices, with potential applications in other regions and sectors.