Adoption of mobile data services may be analyzed within the framework of two-sided markets. Service or content providers should adopt platforms for developing, integrating and distributing mobile services and end-users should adopt the offered services as well as the user platform offered. These two markets are often analyzed separately using different theoretical perspectives and models. In this article, we propose a model for integrating the two sides of the mobile data services market. We suggest that end-users adopt services with high perceived Corresponding author: Per E. Pedersen, Agder University College, Grooseveien 36, 4876 Grimstad, Norway, email: per.pedersen@hia.no, Phone: +47 37253219, Mobile: +47 90655321 value. Perceived value is obtained through intrinsic and extrinsic service attributes appreciated by end-users. Intrinsic attributes are the inherent attributes of the mobile data service itself whereas extrinsic attributes are attributes of the network of users and complementary services offered. However, end-users differ with respect to their ability to assess perceived value from offered service attributes. Intrinsic and extrinsic services attributes are determined by dominant actors' decisions along four dimensions of their business models. The model is used to propose relationships between dominant actors' choice of business models for individual services and the end-users' perceived value of these services. 1.

Abstract — The mobile ecosystem is constantly changing. The roles of each actor are uncertain and the question how each actor cooperates with each other is of interest of researchers both in academia and industry. In this paper we examine the mobile ecosystem from a business perspective. We used five mobile companies as case studies, which were investigated through interviews and questionnaire surveys. The companies covered different roles in the ecosystem, including network operator, device manufacturer, and application developer. With our empirical data as a starting point, we analyze the revenue streams of different actors in the ecosystem. The results will contribute to an understanding of the business models and dependencies that characterize actors in the current mobile ecosystem. Keywords-business models; mobile ecosystem I.

Assessing the external environment is an important component of organizations' survival and success. Unfortunately, a huge amount of information must be collected and processed in order to obtain a thorough and comprehensive representation of the environment. A decision support system can be very useful in helping decision makers to organize and analyze this information efficiently and effectively. This paper outlines a conceptual proposition helping to design such a system by presenting an ontology of the relevant information elements (actors, issues and needs) and a set of tools to analyze them. This paper also illustrates a prototype version of one of these tools which supports the analysis of the actors and issues perspectives.

Mobile advertising was early identified as an application for mobile data. Up to today the involved players, the mobile telecommunications companies and the advertising industry are looking for innovative concepts and new revenue streams. It therefore is not obvious why current mobile advertising and marketing approaches are lacking the predicted success. Taking the German market as object for analysis, the paper discusses the current problems of the mentioned industries and points out some shortcomings of the business models and approaches currently in use. For mobile advertising as the common field of activity the paper provides a solution approach based on the Situation Concept and states how successful mobile advertising could take place. 1

Evaluating the economic impact of cognitive radio

Three player oligopoly model to evaluate

Exploring the relationship between structural market conditions and business conduct in mobile data service markets A firm’s strategic choices are represented in its business model. The choices made here can be evaluated by understanding the impact of those choices on performance such as adoption rate etc. However, the business model choices are affected by the market situation in which the firm operates. Thus, there is a link between market conditions, business model choices, and performance. This link was first formulated in the structure-conduct-performance (SCP) framework in the field of industrial organization. This framework links together the supply-side with the demand-side. MAPIT is a taxonomy for understanding the structural conditions under which intermediaries in online markets choose their strategies, roles and functions that builds on the supply-side of the SCP framework. In this paper, a set of case studies of mobile data service providers is analyzed and described using the MAPIT conceptual framework. The fundamental concept behind the business model choices analyzed in MAPIT is integration – vertically along the value chain and horizontally across value chains. For each case, we describe the relationships between specific structural conditions and the business model choices made by the service providers. Finally, based on the same conceptual structure we reflect more generally on the industry implications of the observations we have made in these cases. 1.