Digital Transformation of Supply Chain Management - Challenges and Strategies for Successfully Implementing Data Analytics in Practice

Publikation: Beitrag in Buch/Bericht/TagungsbandKonferenzbeitragBegutachtung

Abstract

Digital transformation has been a crucial endeavor for businesses for many years, with Supply Chain Management (SCM) standing out as an area with significant potential for enhancement through new technologies. Data Analytics (DA), in particular, presents numerous opportunities in this context. Nonetheless, the adoption of data-driven decision-making in SCM remains a challenge for many practitioners. This research paper conducts a thorough investigation into the obstacles encountered when integrating Data Analytics into SCM practices. Utilizing a qualitative research approach, the study gathers comprehensive insights from expert interviews, shedding light on the practical challenges organizations face in their digital transformation journeys. Drawing from the empirical evidence obtained through expert discussions and an extensive review of relevant literature, this paper offers both expert-recommended and theoretically grounded strategies to overcome the barriers to digital transformation in SCM. In total. seven key challenge areas are identified, such as issues with data integration and quality, organizational resistance to change, skills shortages among employees, and concerns about the opacity of AI systems and the trustworthiness of their outputs. The paper presents 22 specific recommendation strategies for the successful deployment of Data Analytics in SCM, including the use of explainable AI to enhance trust in analysis outcomes, showcasing successful internal and employee-centric use cases, establishing a Data Analytics function in a centralized, decentralized, or hybrid format, and creating a central role for data governance. By providing actionable strategies, this paper enriches the current knowledge base, aiding practitioners in overcoming digital transformation challenges and maximizing the benefits of Data Analytics in improving SCM efficiency and digitally transforming supply chains.

OriginalspracheEnglisch
TitelICEEG 2024 - 2024 8th International Conference on E-Commerce, E-Business, and E-Government
Herausgeber (Verlag)Association for Computing Machinery
Seiten36-42
Seitenumfang7
ISBN (elektronisch)9798400717659
DOIs
PublikationsstatusVeröffentlicht - 28 Mai 2024
Veranstaltung8th International Conference on E-Commerce, E-Business, and E-Government, ICEEG 2024 - Virtual, Online, Vereinigte Arabische Emirate
Dauer: 28 Mai 202430 Mai 2024

Publikationsreihe

NameACM International Conference Proceeding Series

Konferenz

Konferenz8th International Conference on E-Commerce, E-Business, and E-Government, ICEEG 2024
Land/GebietVereinigte Arabische Emirate
OrtVirtual, Online
Zeitraum28.05.202430.05.2024

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