Katarina Stanoevska

Platform as a Service (PaaS) solutions are changing the way software is produced, distributed, used, and priced. However, there has been little research into understanding the dynamics of PaaS business models and how these business models should be designed to establish a flourishing ecosystem around these platforms. Using design science research (DSR) we first identified the main design elements of PaaS business models as well as their relationships by investigating 24 PaaS providers. The resulting classification scheme as well as the qualitative systems dynamics model (in form of a causal loop diagram (CLD)) facilitates a better understanding of the adoption dynamics of PaaS business models. By focusing on the adoption dynamics of PaaS business models, our research goes beyond previous approaches for studying PaaS.

Platform as a service (PaaS) solutions are changing the way how software is produced, distributed, consumed, and priced. Due to the wide variety of approaches to PaaS and the absence of a formula that represents the drivers of successful platforms, the goal of this paper is to identify developers' preferences on PaaS. An adaptive choice-based conjoint analysis has been performed and was completed by 103 participants. Based on the results, a prioritized list of developers' preferences for PaaS has been created. The results of the survey indicate that, third-party developers' preferences also depend on the phase of the software lifecycle in which they are (Development, Distribution, and Operation).

The 2nd generation of mobile applications (apps) based on Smartphone's and tablet PCs are completely changing the way mobile software is developed, distributed and consumed. In particular mobile enterprise applications (MEA) have a disruptive effect on existing enterprise software and require rethinking in the software industry. Despite their impact, MEA have not been considered sufficiently in literature. This paper contributes to fill this gap by investigating more than 500 existing MEA, by providing an overview of typical characteristics of MEA, and extracting of both future directions in the MEA market and a related research agenda.

Platform as a Service (PaaS) solutions are changing the way that software is produced, distributed, consumed, and priced. PaaS, also known as cloud platform, offer an execution environment based on software platforms. To be competitive on the market, PaaS providers have to be aware of drivers of successful platforms and design or adjust their business models accordingly. Surprisingly, prior research has made little attempt to investigate consumers' preferences on PaaS that influence developers' choice on PaaS solutions. This paper examines this understudied issue through a conjoint study. First a comprehensive literature analysis on PaaS has been conducted in order to build the study design on a rigorous foundation. The conducted conjoint survey contained ten attributes together with 26 corresponding attribute levels and has been completed by 103 participants. Based on the results, a prioritized list of customers' preferences for PaaS has been created.

Platform as a Service is at the peak of inflated expectations. The term denotes some of the latest developments in the Information and Communication Technology industry, which are significantly changing the way services are produced, consumed, and deployed. While companies are investing in the underlying technology of cloud-based platforms, the emphasis on business model innovation and re-thinking the revenue streams falls behind. This study shows that current revenue streams of cloud-based platforms are unpretentious and follow simple patterns. Most cloud-based platform providers focus only on direct revenue streams, which are typically based upon subscription fees. Multi-sided business models and innovative ways of revenue generation are rarely present, even though the manner in which cloud platforms are commercialized is the deciding factor for the economic outcome.

Do end-users accept end-user development by using enterprise mashups? Using the technology acceptance model, this research investigates the acceptance of the FAST platform, which enables endusers to build their own application by simply drag and drop graphical building blocks onto a canvas. An evaluation workshop of 159 individuals in various countries and locations found strong support of the idea. It was revealed that perceived usefulness strongly affected the attitude towards using enterprise mashups for end-user development. In turn, perceived ease of use did not. With respect to the developed mashup platform it was found that the available content within a mashup platform is the main influencing factor on the acceptance of end-user development by using mashups.

Enterprise mashups (EMs) are a new technology that enables the automation of situational needs of knowledge workers. EMs imply a new development paradigm based on the peer production philosophy and empower end users to create individual applications without the involvement of the IT department. So far, there is insufficient research on potential benefits of EMs. This paper contributes to fill this gap by designing an EM benefit model. By following the design science approach, the balance scorecard concept is leveraged to identify and structure potential benefits of EMs. By means of a laboratory experiment and a case study, the applicability of the designed benefit model is demonstrated.

The importance of marketplace frameworks, where demand and supply for electronic services meet, has gained momentum with the recent technological innovations of cloud computing. In particular the emerging market for cloud and XaaS offerings is, in the current early stage of development, scattered and represented by many single offerings. New intermediaries are required for the consolidation of the available service offerings and for providing a one-stop-shopping opportunity for customers. This paper proposes a new cloud marketplace solution that enables on the one hand an integrated platform for the development and selling of XaaS products and on the other hand a one-stop-shopping for customers interested in services. Service providers can merchandise and sell their products through the marketplace supporting the whole lifecycle of these products. Service consumers are provided with a unique personalized service search and resolution engine, helping them to find and customize the products they need.