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MASTER THESIS
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Conceptualizing a performance measurement system for smart mobility.

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Seybold, Marie ULiège
Promotor(s) : Crutzen, Nathalie ULiège
Date of defense : 23-Jun-2021/25-Jun-2021 • Permalink : http://hdl.handle.net/2268.2/11422
Details
Title : Conceptualizing a performance measurement system for smart mobility.
Translated title : [de] Konzeptualisierung eines Performance Measurement Systems für Smart Mobility
Author : Seybold, Marie ULiège
Date of defense  : 23-Jun-2021/25-Jun-2021
Advisor(s) : Crutzen, Nathalie ULiège
Committee's member(s) : Trossmann, Ernst 
Lebas, Audrey ULiège
Language : English
Number of pages : 70
Keywords : [en] Smart Mobility
[en] performance measurement
[en] Smart City
Discipline(s) : Business & economic sciences > Accounting & auditing
Research unit : Smart City Institute
Target public : Researchers
Student
Institution(s) : Université de Liège, Liège, Belgique
Degree: Master en sciences de gestion, à finalité spécialisée en Financial Analysis and Audit
Faculty: Master thesis of the HEC-Ecole de gestion de l'Université de Liège

Abstract

[en] Smart Mobility as an integral part of a Smart City is a challenge for many cities. Pursuing the aim of making the performance of Smart Mobility projects measurable, a performance measurement system is established. Since there is no performance measurement system known for Smart Mobility projects, neither in the literature nor in the practice, a deductive approach is chosen. First, 31 papers are evaluated in a systematic way, dealing with the per-formance measurement of Smart Mobility projects. This results in a structure of Smart Mo-bility projects systematized in four dimensions, 16 factors and 64 indicators. Expert inter-views are held in order to evaluate and to enrich the research results. By combining these results, four Balanced Scorecards are developed in this thesis to measure the performance of Smart Mobility projects: accessibility, availability of Information and Communication Technology infrastructure, sustainability, and mobility services and technologies. Each Bal-anced Scorecard consists of four measurement dimensions, which are also backed by objec-tives. 57 indicators from literature and 36 indicators from practice are used for all four Bal-anced Scorecards. Thus, the performance measurement of Smart Mobility projects is based on a total of 93 indicators, with each indicator in the Balanced Scorecard being backed by an objective direction or objective value. The closer the achievement of the objective value or the objective direction, the better the performance of the respective Smart Mobility project.


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Author

  • Seybold, Marie ULiège Université de Liège > Master sc. gest., à fin.

Promotor(s)

Committee's member(s)

  • Trossmann, Ernst
  • Lebas, Audrey ULiège Université de Liège - ULiège > HEC Liège : UER > UER Management : Sustainable Strategy
    ORBi View his publications on ORBi
  • Total number of views 37
  • Total number of downloads 2










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