A Revised Model of the Cloud Computing Ecosystem

Floerecke, Sebastian; Lehner, Franz

doi:10.1007/978-3-319-43177-2_21

Cited by 7 publications

(10 citation statements)

References 26 publications

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“…This includes 4.1. (7,8,9,11) (3). One main reason for this discrepancy is the different research design: Labes et al [6] determined the success factors by screening the websites of cloud providers based on a predefined set of hypothetical business model characteristics.…”

Section: Critical Discussion Of the Success-driving Business Model Chmentioning

confidence: 99%

“…Beyond this background, this paper takes a perspective shift from an overall perspective towards a selective, role-specific and thus ecosystemic perspective on cloud business models. The core of the cloud ecosystem consists of providers of the three basic, interrelated and consecutive cloud service layers -Infrastructure as a Service (IaaS), Platform as a Service (PaaS) and Software as a Service (SaaS) [10,11]. These three roles form the heart of the whole cloud business and are forecasted to account for about 70 percent of the overall turnover of the cloud ecosystem in 2019 [12].…”

Section: Introductionmentioning

confidence: 99%

“…Value is, instead, created in a network of companies with many both vertical and horizontal relations [26]. The cloud ecosystem's core consists of providers of the three basic service layers -IaaS, PaaS and SaaS [10,11]. IaaS supplies infrastructural resources (compute, storage and network).…”

Section: Introductionmentioning

confidence: 99%

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Success-Driving Business Model Characteristics of Iaas and Paas Providers

Floerecke

Lehner²

2018

IJCCSA

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Market analyses show that some cloud providers are significantly more successful than others. The research on the success-driving business model characteristics of cloud providers and thus, the reasons for this performance discrepancy is, however, still limited. Whereas cloud business models have mostly been examined comprehensively, independently from the distinctly different cloud ecosystem roles, this paper takes a perspective shift from an overall towards a selective, role-specific and thereby ecosystemic perspective on cloud business models. The goal of this paper is specifically to identify the success-driving business model characteristics of the so far widely neglected cloud ecosystem's core roles, IaaS and PaaS provider, by conducting an exploratory multiple-case study. 21 expert interviews with representatives from 17 cloud providers serve as central data collection instrument. The result is a catalogue of generic as well as cloud-specific, subdivided into role-overarching and role-specific, business model characteristics. This catalogue supports cloud providers in the initial design, comparison and revision of their business models. Researchers obtain a promising starting and reference point for future analysis of business models of various cloud ecosystem roles. KEYWORDSInfrastructure as a Service (IaaS), Platform as a Service (PaaS), Success-Driving Business Model Characteristics, Cloud Computing Ecosystem, Exploratory Multiple-Case Study.The rest of this paper is organized as follows: Section two contains the related work regarding cloud computing, business models, business ecosystems and success factors. In the third section, the conducted case study research approach is depicted in detail. The identified success-driving business model characteristics are listed and described separately according to the various business model components in section four. In section five, the results are discussed and several unexpected aspects concerning the current situation and possible future developments within the cloud ecosystem are presented. Section six provides a summary, limitations, contributions for theory and practice and a prospect on future research. RELATED WORKCloud computing is a relatively new IT operations model, which has radically transformed the way IT resources are produced, provided and used [21]. This is the reason why numerous scholars (e.g., [10,22]) consider cloud computing as a co-evolution of computing technology and business models. The main characteristics of cloud services, including on-demand self-service, broad network access, resource pooling, rapid elasticity and measured service, distinguish it from its traditional counterpart, the on-premise IT [23]. Cloud services can be delivered via four different deployment models: public, private, hybrid and community. These deployment models particularly differ in their degree of operational isolation, the access control to a specific cloud service and the physical location of the underlying hardware servers [24].

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Section: Critical Discussion Of the Success-driving Business Model Chmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Success-Driving Business Model Characteristics of Iaas and Paas Providers

Floerecke

Lehner²

2018

IJCCSA

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“…These roles primarily comprise providers of the three basic cloud service layers: Infrastructure as a Service (IaaS), Platform as a Service (PaaS) and Software as a Service (SaaS) (Marston et al 2011;Mell and Grance 2011). Building upon these three consecutive and interrelated layers, a multitude of further roles, such as aggregators, integrators and market place operators, has evolved (Floerecke and Lehner 2015;Keller and König 2014). An organization can implement one or more of these roles at the same time (Floerecke and Lehner 2016).…”

Section: Introductionmentioning

confidence: 99%

Cloud computing ecosystem model: evaluation and role clusters

2020

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Several significantly different attempts have been undertaken to visualize the complex and opaque cloud computing ecosystem by a descriptive model. Recently, scholars have developed a new role-based cloud ecosystem model (Passau Cloud Computing Ecosystem Model (PaCE model)) based on a systematic analysis and synthesis of the previous models. However, its scientific evaluation is still outstanding. The main goal is therefore to conduct an evaluation regarding its structural equivalence and completeness compared to the real cloud business according to the design science research paradigm. The second goal is to demonstrate the model’s usefulness by using it as an instrument for the identification of role clusters, which are frequently covered by organizations. To this end, a cross-sectional analysis is conducted, in which 758 organizations are manually analysed and matched with the model’s current roles. As a result, roles have been newly added, removed, broken down into sub-roles, abstracted to a meta-role and renamed. The cluster analysis unveiled five role clusters. Whereas some roles were predominantly found as single role, further roles were exclusively or very frequently found in combination with others. Overall, the revised model creates, compared to the common rather technically orientated market overviews by market research institutes, a detailed categorization schema helping to understand and investigate the organizations belonging to the cloud ecosystem.

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“…Cloud providers and their software-as-a-service, offerings making cloud technology an increasingly important platform for business services innovation [7]. Cloud technology breaks up the traditional value chain of IT provisioning and leads to new roles of market players acting in the ecosystem [8]. It boasts attractive properties such as agility, scalability, pay-per-use and cost efficiency [9].…”

Section: Introductionmentioning

confidence: 99%

Innovation and Transformation of Service Business Models through Cloud Technology to Achieve Co-Creation Value within the Service Ecosystem

Sirianni¹,

Singer²,

Sabbagh³

2019

JSSM

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The primary purpose of this study is to use the principles of service science as a foundation approach to provide a path for innovation and transformation service business models (SBMs) through the power of cloud technology within the service ecosystem. In addition, this research, contributes to improve the understanding for the business dynamics behind this transformation in such a way that to explain the processes for GDL to transition to SDL business innovation models. Moreover, this paper seeks to answer the question that how cloud to create value in the context of SBMs within the service ecosystem? This paper is one of the first attempts to integrate these disciplines, so that it offers an original contribution by propose the novel trend in the form of a path with 5 steps for SBMs innovation and transformation and also co-create value. This research has a qualitative approach to seek to answer the research questions that has been adopted based on Kitchenham et al. (2009) seven steps guidelines for conducting a systematic literature review. This paper is the first systematic reviews on the business models that is supported through cloud technology so that conducted using the 45 research articles shortlisted were discussed and analyzed and finally on that basis, a path with 5 steps is provided to answer the research questions. Moreover, this study provides insights to SMEs, ICT vendors, service providers and government agencies to align the business models with cloud services for the most benefits. It also to act as a guide for practitioners to seek and apply such models in their business in order to produce smart solutions that can provision even smarter services.

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A Revised Model of the Cloud Computing Ecosystem

Cited by 7 publications

References 26 publications

Success-Driving Business Model Characteristics of Iaas and Paas Providers

Success-Driving Business Model Characteristics of Iaas and Paas Providers

Cloud computing ecosystem model: evaluation and role clusters

Innovation and Transformation of Service Business Models through Cloud Technology to Achieve Co-Creation Value within the Service Ecosystem

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