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Kundens nytta av Scanias Grönt Kort-avtal: Leder Grönt Kort-avtal till färre besiktningsanmärkningar och förbättrade kundrelationer för Scania?
KTH, School of Engineering Sciences (SCI), Mathematics (Dept.), Mathematical Statistics.
2015 (Swedish)Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesisAlternative title
The customer benefits of Scania's Green Card Agreement : Do Green Card agreements lead to fewer inspection remarks and improved customer relations Scania? (English)
Abstract [sv]

Denna rapport är uppdelad i två delar. Den första delen undersöker, med data från drygt 16 000 lastbilar, om Scanias Grönt Kort-avtal minskar risken att få föreläggande vid besiktning. Utifrån dessa data undersöks även vilken typ av bilar som har Grönt Kort-avtal. Regressionsanalys görs med hjälp av logitmodeller. Resultatet tyder på att Grönt Kort-avtalet minskar risken för föreläggande. Resultatet visar även vilka faktorer som ökar sannolikheten att en kund har Grönt Kort-avtal. Den andra delen av rapporten undersöker hur Scania-Bilar Stockholm kan använda Grönt Kort-avtal för att förbättra sina kundrelationer, förbättra kundnyttan och därmed öka merförsäljningen av lastbilar och avtal. Detta görs genom intervjuer som kopplas till en litteraturstudie och mynnar ut i ett antal rekommendationer.

Abstract [en]

This report is divided into two parts. With data from more than 16,000 trucks, the first part examines if Scania's Green Card agreement reduces the risk of getting an injunction at inspection. Based on these data this report also examines what kinds of trucks have Green Card agreement. Regression analysis is done by using logit models. The result suggests that the Green Card agreement reduces the risk of injunction. The result also shows the factors that increase the likelihood for a customer to have the Green Card agreement. The second part of the report examines how Scania-Bilar Stockholm can use the Green Card agreement to enhance their customer relationships, enhance customer value and thereby increasing sales of trucks and agreements. This is done through interviews linked to a literature study and culminates in a number of recommendations.

Place, publisher, year, edition, pages
2015.
Series
TRITA-MAT-K, 2015:17
National Category
Mathematical Analysis
Identifiers
URN: urn:nbn:se:kth:diva-170161OAI: oai:DiVA.org:kth-170161DiVA: diva2:827696
Subject / course
Applied Mathematical Analysis
Educational program
Master of Science in Engineering - Industrial Engineering and Management
Supervisors
Examiners
Available from: 2015-06-29 Created: 2015-06-28 Last updated: 2015-06-29Bibliographically approved

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