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The Digital Transformation of Automotive Businesses: THREE ARTEFACTS TO SUPPORT DIGITAL SERVICE PROVISION AND INNOVATION

Digitalisation and increasing competitive pressure drive original equipment manufacturers (OEMs) to switch their focus towards the provision of digital services and open-up towards increased collaboration and customer integration. This shift implies a significant transformational change from product to product-service providers, where OEMs realign themselves within strategic, business and procedural dimensions.
Thus, OEMs must manage digital transformation (DT) processes in order to stay competitive and remain adaptable to changing customer demands. However, OEMs aspiring to become participants or leaders in their domain, struggle to initiate activities as there is a lack of applicable instruments that can guide and support them during this process. Compared to the practical importance of DT, empirical studies are not comprehensive.
This study proposes three artefacts, validated within case companies that intend to support automotive OEMs in digital service provisioning. Artefact one, a layered conceptual model for a digital automotive ecosystem, was developed by means of 26 expert interviews. It can serve as a useful instrument for decision makers to strategically plan and outline digital ecosystems. Artefact two is a conceptual reference framework for automotive service systems. The artefact was developed based on an extensive literature review, and the mapping of the business model canvas to the service system domain. The artefact intends to assist OEMs in the efficient conception of digital services under consideration of relevant stakeholders and the necessary infrastructures. Finally, artefact three proposes a methodology by which to transform software readiness assessment processes to fit into the agile software development approach with consideration of the existing operational infrastructure.
Overall, the findings contribute to the empirical body of knowledge about the digital transformation of manufacturing industries. The results suggest value creation for digital automotive services occurs in networks among interdependent stakeholders in which customers play an integral role during the services’ life-cycle. The findings further indicate the artefacts as being useful instruments, however, success is dependent on the integration and collaboration of all contributing departments.:Table of Contents

Bibliographic Description II
Acknowledgment III
Table of Contents IV
List of Figures VI
List of Tables VII
List of Abbreviations VIII
1 Introduction 1
1.1 Motivation and Problem Statement 1
1.2 Objective and Research Questions 6
1.3 Research Methodology 7
1.4 Contributions 10
1.5 Outline 12
2 Background 13
2.1 From Interdependent Value Creation to Digital Ecosystems 13
2.1.1 Digitalisation Drives Collaboration 13
2.1.2 Pursuing an Ecosystem Strategy 13
2.1.3 Research Gaps and Strategy Formulation Obstacles 20
2.2 From Products to Product-Service Solutions 22
2.2.1 Digital Service Fulfilment Requires Co-Creational Networks 22
2.2.2 Enhancing Business Models with Digital Services 28
2.2.3 Research Gaps and Service Conception Obstacles 30
2.3 From Linear Development to Continuous Innovation 32
2.3.1 Digital Innovation Demands Digital Transformation 32
2.3.2 Assessing Digital Products 36
2.3.3 Research Gaps and Implementation Obstacles 38
3 Artefact 1: Digital Automotive Ecosystems 41
3.1 Meta Data 41
3.2 Summary 42
3.3 Designing a Layered Conceptual Model of a Digital Ecosystem 45
4 Artefact 2: Conceptual Reference Framework 79
4.1 Meta Data 79
4.2 Summary 80
4.3 On the Move Towards Customer-Centric Automotive Business Models 83
5 Artefact 3: Agile Software Readiness Assessment Procedures 121
5.1 Meta Data 121
5.2 Meta Data 122
5.3 Summary 123
5.4 Adding Agility to Software Readiness Assessment Procedures 126
5.5 Continuous Software Readiness Assessments for Agile Development 147
6 Conclusion and Future Work 158
6.1 Contributions 158
6.1.1 Strategic Dimension: Artefact 1 158
6.1.2 Business Dimension: Artefact 2 159
6.1.3 Process Dimension: Artefact 3 161
6.1.4 Synthesis of Contributions 163
6.2 Implications 167
6.2.1 Scientific Implications 167
6.2.2 Managerial Implications 168
6.2.3 Intelligent Parking Service Example (ParkSpotHelp) 171
6.3 Concluding Remarks 174
6.3.1 Threats to Validity 174
6.3.2 Outlook and Future Research Recommendations 174
Appendix VII
Bibliography XX
Wissenschaftlicher Werdegang XXXVII
Selbständigkeitserklärung XXXVIII

Identiferoai:union.ndltd.org:DRESDEN/oai:qucosa:de:qucosa:33767
Date17 April 2019
CreatorsGrieger, Marcus
ContributorsUniversität Leipzig
Source SetsHochschulschriftenserver (HSSS) der SLUB Dresden
LanguageEnglish
Detected LanguageEnglish
Typeinfo:eu-repo/semantics/acceptedVersion, doc-type:doctoralThesis, info:eu-repo/semantics/doctoralThesis, doc-type:Text
Rightsinfo:eu-repo/semantics/openAccess

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