The Digital Supply Chain of the Future: Technologies, Applications and Business Models

Pflaum, Alexander; Prockl, Günter; Bodendorf, Freimut; Chen, Haozhe

doi:10.24251/hicss.2019.618

Cited by 4 publications

(1 citation statement)

References 3 publications

(3 reference statements)

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“…Artificial intelligence (AI) is a research area that attempts to design mechanisms allowing machines to develop intelligent behavior (Russell and Norvig, 2020). Information technology and information systems are enablers for successful supply chain management that stems from intelligent and coordinated decision-making throughout the network (Pflaum et al, 2022). The automotive industry is strongly impacted by digital technologies (Dremel et al, 2017).…”

Section: Introductionmentioning

confidence: 99%

Designing an AI-enabled Bundling Generator in an Automotive Case Study

Spreitzenbarth,

Stuckenschmidt,

Bode

2023

Proceedings of the Annual Hawaii International Conference on System Sciences

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Procurement and marketing are the main boundary-spanning functions of an organization. Some studies highlight that procurement is less likely to benefit from artificial intelligence emphasizing its potential in other functions, i.e., in marketing. A case study in the automotive industry of the bundling problem utilizing the design science approach is conducted from the perspective of the buying organization contributing to theory and practice. We rely on information processing theory to create a practical tool that is augmenting the skills of expert buyers through a recommendation engine to make better decisions in a novel way to further save costs. Thereby, we are adding to the literature on spend analysis that has mainly been looking backward using historical data of purchasing orders and invoices to infer saving potentials in the future -our study supplements this approach with forward-looking planning data with inherent challenges of precision and information-richness.

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Section: Introductionmentioning

confidence: 99%

Designing an AI-enabled Bundling Generator in an Automotive Case Study

Spreitzenbarth,

Stuckenschmidt,

Bode

2023

Proceedings of the Annual Hawaii International Conference on System Sciences

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Digital Transformation of Logistics and SCM: The Long Way from Digitization to Digital Business Models

See

Grafe

Lodemann

et al. 2021

Digital Business Models in Industrial Ecosystems

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Sustainable Digital Transformation in Finance, Tourism, Transport, Entertainment and Social Innovation

Zarifis,

Efthymiou,

Cheng

2023

Business Digital Transformation

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While it is clear that organizations must move quickly in implementing digital transformation so they are not left behind, it is not always clear what the final destination should be and how to get there. The research presented here covers several specific cases of digital transformation. The cases offer insight in the areas of finance, tourism, transport, entertainment and social innovation, but there are also nine overarching themes: (1) The leaders in digital transformation will constantly innovate, while the laggards in digital transformation will have a stop-start approach. (2) There are no simple answers, or a single way to go forward, with digital transformation. (3) Each sector of the economy has its own opportunities, challenges and must find its own path forward. (4) Changes in one sector of the economy, such as the financial sector, will send a ripple of change across other sectors of the economy. (5) Change needs a shared vision, and digital transformation needs leaders to create the shared vision. (6) Digital transformation needs trust and cooperation on every level: Teams, organizations, governments and super-organizations like the EU. (7) People will still have a role: Staff, customers and other stakeholders are still important. (8) There is a dark side of digital transformation that may have not been fully revealed to us yet. (9) Digital transformation should happen hand in hand with sustainability and resilience.There is an ongoing digital transformation with an increasing diffusion of technologies that are acting as a catalyst for business advancement.

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The Digital Supply Chain of the Future: Technologies, Applications and Business Models

Cited by 4 publications

References 3 publications

Designing an AI-enabled Bundling Generator in an Automotive Case Study

Designing an AI-enabled Bundling Generator in an Automotive Case Study

Digital Transformation of Logistics and SCM: The Long Way from Digitization to Digital Business Models

Sustainable Digital Transformation in Finance, Tourism, Transport, Entertainment and Social Innovation

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