Strategy Framework For Application of Digital Technologies in S&OP
Author
Sørensen, Marc Skjold
Term
4. term
Publication year
2019
Pages
75
Abstract
Specialet adresserer den aktuelle digitalisering i forsyningskæder ved at udvikle et strategisk rammeværk for anvendelse af digitale teknologier i Sales & Operations Planning (S&OP). Formålet er at give virksomheder et samlet overblik over, hvordan de forbereder sig, hvilke teknologier der kan vælges (bl.a. kunstig intelligens, maskinlæring, blockchain og cloud computing), og hvordan implementeringens konsekvenser kan håndteres. Rammeværket struktureres omkring tre forskningsspørgsmål, der dækker krav før, under og efter implementering. Metodisk bygger specialet på en litteraturgennemgang samt kvalitative interviews med S&OP-medarbejdere fra tre globale virksomheder (Hempel, Maersk Drilling og Smith-Nephew), og anvender organisatoriske modeller som TOE-rammen, forandringsledelse og modenhedsmodeller til at vurdere parathed og kontekst. Analysen kobler teori til praksis gennem case-baserede eksempler, og diskussionen belyser muligheder, risici og fremtidsperspektiver. Arbejdet afgrænses til S&OP-funktionen og baseres på kvalitative data; konkrete resultater eller effekter er ikke beskrevet i den medfølgende tekstuddrag.
This thesis responds to ongoing digitalization in supply chains by developing a strategy framework for applying digital technologies in Sales & Operations Planning (S&OP). Its aim is to provide organizations with a comprehensive guide on how to prepare for implementation, which technologies to consider (including artificial intelligence, machine learning, blockchain, and cloud computing), and how to address the implications of adoption. The framework is organized around three research questions covering requirements before, during, and after implementation. Methodologically, the work combines a literature review with qualitative interviews from S&OP staff at three global companies (Hempel, Maersk Drilling, and Smith-Nephew) and uses organizational tools such as the TOE framework, change management, and maturity models to assess readiness and context. The analysis links theory to practice through case-based applications, and the discussion examines opportunities, risks, and future perspectives. The thesis is delimited to the S&OP function and relies on qualitative data; specific empirical findings or outcomes are not detailed in the provided excerpt.
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