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Bridging the Gap: End-User Programmers in Modern Supply Chain Analytics

Authors:
Corne De Ruijt
Ritsaart Bergsma

Keywords: Supply chain management, low code/no code, Analytics Maturity Curve

Abstract:
This paper examines the role of end-user programmers in enhancing data-driven decision-making within supply chains, particularly for Small and Medium-sized Enterprises (SMEs). End-user programmers increasingly use low/no code software and platforms to improve their organization's analytical capability. Low/no code provides less technical users access to analytical tools, thereby enabling them to address supply chain challenges. While low/no code simplifies the (data) modeling process, end-user programmers do hold assumptions about the modeling process that lack scientific support. This paper examines three such assumptions: 1) their confidence in producing models with few errors, 2) assumptions regarding in which context to use machine learning, and 3) assumptions regarding the complexity of making statistical results applicable. By reflecting on these assumptions, this paper provides directions organizations can adopt to support low/no code adaption within logistic SMEs.

Pages: 1 to 7

Copyright: Copyright (c) IARIA, 2023

Publication date: November 13, 2023

Published in: conference

ISBN: 978-1-68558-086-5

Location: Valencia, Spain

Dates: from November 13, 2023 to November 17, 2023