How supply chain visibility could benefit the field of supply chain management is well-known, both within academia and among practitioners. However, less is known about the challenges that supply chain visibility may be coupled with, especially when it comes to organisational challenges for a broader market presence where actors may have conflicting incentives. This thesis tries to explore this issue and does so through a case study by analyzing organisational challenges for supply chain visibility to see greater presence in the third-party logistics market. Most importantly, the findings suggest that an ecosystem perspective is necessary inorder to fully comprehend the organisational challenges. By applying an ecosystem perspective, previously known challenges can be better understood by connecting them with market dynamics, and it also revealed previously unknown challenges related to regulatory challenges. The purpose of this thesis is not to provide definitive theory, but rather show the promise of utilizing an ecosystem perspective in the contemporary supply chain visibility field. This could prove helpful within academia as well as for practitioners. / Det är välkänt hur supply chain visibility kan gynna supply chain management, både inom akademin och för yrkesverksamma. Däremot är det mindre känt vilka utmaningar som är förknippade med marknadsetablering av supply chain visibility, särskilt när det gäller organisatoriska utmaningar. Denna uppsats syftar till att utforska dessa utmaningar genom en fallstudie, med fokus främst på de organisatoriska utmaningar som supply chain visibility skulle kunna innebära inom tredjepartslogistik. Den viktigaste insikten från denna studie är att ett ekosystemsperspektiv är nödvändigt för att fullt ut förstå de organisatoriska utmaningarna. Genom att tillämpa ett ekosystemsperspektiv kan tidigare okända utmaningar bättre förstås genom att kopplas samman med marknadsdynamik. Dessutom upptäcktes en ny kategori av utmaningar som tidigare forskning inte har redogjort för, nämligen juridiska utmaningar. Syftet med denna uppsats var inte att skapa ett definitivt ramverk utan att visa möjligheterna med tillämpning av ett ekosystemsperspektiv inom det för närvarande heta ämnet supply chain visibility. Detta kan vara till nytta både för forskare och yrkesverksamma.

This research builds off previous research conducted in 2009 which included a survey of healthcare professionals assessing their organization’s levels of supply chain maturity (SCM) and data standard readiness (DSR) from 1 to 5 [Smith, 2011]. With the survey data, Smith developed a 0-1 quadratic program to conserve the maximum amount of survey data while removing non-responses. This research uses the quadratic program as well as other machine learning algorithms and analysis methods to investigate what factors contribute to an organization’s SCM and DSR levels the most. No specific factors were found; however, different levels of prediction accuracy were achieved across the five different subsets and algorithms. he best accuracy prediction SCM model was linear discriminant analysis on the Reduced subset at 50.84% while the highest prediction accuracy for DSR was stepwise regression on the PCA subset at 45.00%. Most misclassifications found in this study were minimal.

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