1. Structure in:

Kevin Rudolph

Analyzing Dynamic Capabilities in the Context of Cloud Platform Ecosystems, page 11 - 14

A Case Study Approach

1. Edition 2017, ISBN print: 978-3-8288-4054-6, ISBN online: 978-3-8288-6883-0, https://doi.org/10.5771/9783828868830-11

Series: Wissenschaftliche Beiträge aus dem Tectum Verlag: Wirtschaftswissenschaften, vol. 84

Tectum, Baden-Baden
Bibliographic information
11 1. Structure 1.1 List of figures Figure 1: Thesis structure ........................................................................ 18 Figure 2: Cloud platform ecosystems theory ............................................. 25 Figure 3: Framework 1: Cloud platform ecosystem actors .......................... 29 Figure 4: 'Dynamic capabilities'-typologies ............................................... 30 Figure 5: Dynamic capability microfoundations ........................................ 31 Figure 6: External and internal view of dynamic capabilities ....................... 34 Figure 7: Framework 2 - Dynamic capabilities .......................................... 34 Figure 8: ‘Dynamic capabilities in the context of platforms'-typology ......... 36 Figure 9: Framework 3 - Dynamic capabilities in the context of platforms ............................................................................... 38 Figure 10: Refined research questions in context ....................................... 39 Figure 11: Link between DC-CPE-specific research questions and research agenda ................................................................................ 44 Figure 12: Research design overview ........................................................ 44 Figure 13: Research design overview - tool view ........................................ 52 Figure 14: Coding methodology .............................................................. 54 Figure 15: AWS-Roadmap for the internet-of-things trend ........................ 60 Figure 16: DC interrelations of CPPs towards CPE actors ......................... 63 Figure 17: Dynamic capability level-I paths .............................................. 65 Figure 18: Dynamic capability level-III paths............................................ 67 Figure 19: Theoretical and managerial implications for DCs in CPEs ......... 96 1.2 List of tables Table 1: Synthesis of 'cloud platform ecosystem actor'-typologies ............... 27 Table 2: Dynamic capability explications - "Sense".................................... 32 Table 3: Dynamic capability explications - "Seize" .................................... 32 Table 4: Dynamic capability explications - "Transform" ............................ 33 Table 5: Dynamic capabilities typology comparison .................................. 33 Table 6: Innovation platform properties ................................................... 37 Table 7: Synthesis of 'Dynamic capability in platforms'-typologies ............. 38 Table 8: Criteria for judging case study research designs ............................ 42 Table 9: Data sources overview ................................................................ 51 Table 10: Categories and segments for the coding of AWS announcements ...................................................................................... 53 Table 11: Analytics methods overview ...................................................... 54 12 Table 12: Intensity of dynamic capabilities and cloud platform ecosystem actors ..................................................................................... 62 Table 13: Means used in order to optimize the quality of this study ............ 97 1.3 List of charts Chart 1: Absolute monthly level-I strategy responses of AWS from 2005 to 2016 .................................................................... 55 Chart 2: Absolute yearly level-I strategy responses of AWS from 2005 to 2016 .................................................................... 56 Chart 3: Relative yearly level-I strategy responses of AWS from 2005 to 2016 .................................................................... 56 Chart 4: Relative composition of level-II strategy responses of AWS in 'Upgrade' .............................................................................. 57 Chart 5: Relative composition of level-II strategy responses of AWS in 'Extension' ............................................................................ 57 Chart 6: Relative composition of level-II strategy responses of AWS in 'Realignment' ........................................................................ 58 Chart 7: Relative composition of trend directions of AWS ......................... 58 Chart 8: Absolute yearly geographical responses of AWS from 2005 to 2016 .................................................................... 59 Chart 9: Relative composition of CPE actor directions of AWS .................. 59 Chart 10: Connectivity of DCs ............................................................... 64 1.4 List of abbreviations CPE Cloud Platform Ecosystem DC Dynamic Capabilities SaaS Software-as-a-Service PaaS Platform-as-a-Service IaaS Infrastructure-as-a-Service CPP Cloud Platform Provider quant quantitative data qual qualitative data RDI Research, Development and Innovation IP Intellectual Property 13 1.5 Appendix overview Appendix A1: Data sources ................................................................... 111 Appendix A2: Quotations ..................................................................... 113 Appendix B1: Website links to cloud platform ecosystem actors ............... 207 Appendix B2: AWS service overview ...................................................... 208 Appendix B3: AWS's business model ..................................................... 208 Appendix B4: Market share and revenue growth of the cloud infrastructure services market .............................................. 209 Appendix B5: Cloud revenues of seven enterprise vendors........................ 209 Appendix B6: AWS platform revenues ................................................... 210

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Abstract

Dynamic capabilities (DCs) refer to a firm’s abilities to continuously adapt its resource base in order to respond to changes in its external environment. The capability to change dynamically is crucial in business ecosystems that are composed of a variety of actors. Amazon Web Services (AWS), the leader in the cloud platform industry, is a promising cloud platform provider (CPP) to show a high degree of dynamic capability fulfillment within its highly fluctuating ecosystem. To date, the full scope of dynamic capabilities in cloud platform ecosystems (CPEs) has not been fully understood. Previous work has failed to deliver a combined perspective of explicit dynamic capabilities in cloud platform ecosystems applied on an in-depth practical case. With our mixed-method case study on the AWS ecosystem we deliver a thorough understanding of its sensing, seizing and transforming capabilities. We generate a set of strategy management frameworks that support our expectations and lead to unexpected insights. We find out that AWS develops and holds a large set of interacting dynamic capabilities incorporating a variety of ecosystem actors in order to sustain tremendous customer value and satisfaction. The thesis infers significant theoretical and practical implications for all CPE actors, like partners, customers, investors and researchers in the field of IT strategy management.