OntoEng: A design method for ontology engineering in information systems

This paper addresses the design problem relating to ontology engineering in the discipline of information systems. Ontology engineering is a realm that covers issues related to ontology development and use throughout its life span. Nowadays, ontology as a new innovation promises to improve the design, semantic integration, and utilization of information systems. Ontologies are the backbone of knowledge-based systems. In addition, they establish sharable and reusable common understanding of specific domains amongst people, information systems, and software agents. Notwithstanding, the ontology engineering literature does not provide adequate guidance on how to build, evaluate, and maintain ontologies. On the basis of the gathered experience during the development of V4 Telecoms Business Model Ontology as well as the conducted integration of the related literature from the design science paradigm, this paper introduces OntoEng and its application as a novel systematic design method for ontology engineering

New venture internationalisation and the cluster life cycle: insights from Ireland’s indigenous software industry

The internationalization of new and small firms has been a long-standing concern of researchers in international business (Coviello and McAuley, 1999; Ruzzier et al., 2006). This topic has been re-invigorated over the last decade by the burgeoning literature on so-called ‘born globals’ (BG) or ‘international new ventures’ (INV) – businesses that confound the expectations of traditional theory by being active internationally at, or soon after, inception (Aspelund et al., 2007; Bell, 1995; Rialp et al., 2005). Until quite recently, this literature had not really considered how the home regional environment of a new venture might influence its internationalization behaviour. However, a handful of recent studies have shown that being founded in a geographic industry ‘cluster’ can positively influence the likelihood of a new venture internationalizing (e.g., Fernhaber et al., 2008; Libaers and Meyer, 2011). This chapter seeks to build on these recent contributions by further probing the relationship between clusters and new venture internationalization. Specifically, taking inspiration from recent work in the thematic research stream on clusters (which spans the fields of economic geography, regional studies and industrial dynamics), the chapter explores how the emergence and internationalization of new ventures might be affected by the ‘cluster life cycle’ context within which they are founded. This issue is examined through a revelatory longitudinal case study of Ireland’s indigenous software cluster. The study investigates the origins and internationalization behaviour of ‘leading’ Irish software ventures but, in contrast to many existing studies, it seeks to understand these firms within the context of the Irish software cluster’s emergence and evolution through a number of ‘life-cycle’ stages

The design and engineering of innovative mobile data services: An ontological framework founded on business model thinking

This thesis was submitted for the degree of Doctor of Philosophy and awarded by Brunel University.This research investigates mobile service design and engineering in the mobile telecommunications industry. The mobile telecommunication business is shifting from one that was voice-centric to one that is almost all data-centric; thanks to recent rapid advances in Information and Communication Technologies (ICTs). The underlying reasons behind this shift can be traced back to two main issues that are interlinked. The first and major reason is that telecoms (telecommunication companies) are trying to generate new revenue streams based on data and information transmissions, given the saturation of the voice market. This is rational given the market opportunities in one direction and the pressures being generated by the current economic downturn from the other direction. The second reason relates to the flexibility of data, compared to voice. Indeed, the number of services that can be developed on the basis of data are much greater than those that can be developed on the basis of voice. However, the design and engineering of successful and innovative mobile data services has proven to be a complex undertaking. The number of effective mobile data services is relatively small and the revenue generated from such offerings has generally been below expectations. This research develops an ontological framework to help in changing this situation, and making mobile services engineering more effective and successful, following the design-science research paradigm. Design-science research, in general, aims to solve unstructured but relevant organizational or social problems through the development of novel and useful artefacts. As the current research aims to help in solving the mobile data services engineering dilemma by developing a purposeful ontological framework, the design-science research paradigm is deemed fitting. Within this paradigm, the author develops a novel design approach specified for ontology engineering, termed “OntoEng”. This design approach is used in this research for developing the ontological framework. The developed ontological framework is founded on business model thinking. The idea is that creating innovative mobile data services requires developing innovative business models. Indeed, innovative business models can help translate technological potential into economic value and allow telecoms to achieve their strategic objectives. The ontological framework includes the development of an ontology, termed “V4 Mobile Service BM Ontology” as well as “Mobile Key Value Drivers” for designing and engineering innovative mobile data services. The V4 Mobile Service BM Ontology incorporates four design dimensions: (1) value proposition including targeting; (2) value architecture including technological and organizational infrastructure; (3) value network dealing with aspects relating to partnerships and co-operations; and finally (4) value finance relating to costs, pricing, and revenue structures. Within these four dimensions, sixteen design concepts are identified along with their constituent elements. Relationships and interdependencies amongst the identified design constructs are established and clear semantics are produced. The research then derives six key value drivers for mobile service engineering as follows: (a) Market Alignment; (b) Cohesion; (c) Dynamicity; (d) Uniqueness; (e) Fitting Network-Mode; and (f) Explicitness. The developed ontological framework in this research is evaluated to ensure that it can be successfully implemented and performs correctly in the real world. The research mainly utilizes case analysis methods to ensure the semantic correctness of the ontological framework. Indeed, the developed ontological framework is employed as an analytical lens to examine the design and engineering of three key real-life cases in the mobile telecommunications industry. These cases are: (1) Apple’s iPhone Services and Applications; (2) NTT DoCoMo’s i-mode Services; and (3) Orange Business Services. For further validation, the developed ontological framework is evaluated against a set of criteria synthesized from ontology engineering and evaluation literature. These criteria are: Clarity; Coherence; Conciseness; Preciseness; Completeness; and Customizability. The developed ontological framework is argued to make significant contributions for theory, practice, and methodology. For theory, this research provides (1) a novel ontological framework for designing and engineering mobile data services; (2) a unified framework of the business model concept; and (3) a new design approach for ontology engineering in information systems. For practice, the current research provides practitioners in the telecommunications industry with systematic and customizable means to design, implement, analyze, evaluate, and change new and existing mobile data services to make them more manageable, effective, and creative. For methodology, the use of the design- science research paradigm for ontology engineering signifies the focal methodological contribution in this research given its novelty. This research also contributes to the understanding of the design-science research paradigm in information systems as it is relatively new. It provides a working example in which the author illustrates how recognizing design-science research as a paradigm is essential and useful to the research in information systems discipline

Political Risk for Foreign Firms in Russia

In this article the author discusses the political risks of foreign firms in Russia. Risks vary a great deal between the industries. Telecommunications is the most risky industry for a foreign firm at the moment. State consolidation in the oil and gas business has continued. When Russia experiences difficult times, foreign oil companies enjoy good times in Russia, and vice versa, and therefore, the latest crisis gives, at least, a temporary relief for foreign oil firms. I predict that the metal industry will also see its national champion. The production of electrical energy is a strategic sector, though it was not explicitly named in the law of strategic sectors, and foreign electricity firms operating in Russia may face surprises, if the Russian Government turns more nationalistic in the next decade.Investment climate, political risks, foreign direct investment in Russia

A Dynamic Macroeconomic Model for the US Telecommunications Industry

Dynamic models have been used in most businesses serving different purposes. The increased changes of the Telecommunications environment have created a dynamic industry emerging new dynamic economic models. We investigated the Telecom industry by conducting macroeconomic and infrastructure analysis. However, this paper uses recent data from the Telecommunications industry to reveal the infrastructure trends and predict the US wireless growth. The analysis is focused on several factors such as the infrastructure described by the Teledensity, the employment and the Telecom revenues in comparison with the Gross Domestic Product (GDP). The purpose of this analysis is to understand the industry’s behavior during a specific period of time, 1984-2003, propose an appropriate economic dynamic model, wireless oriented that identifies the current driving forces and detects the impact of some critical events and trends.Dynamic Economic Model, Macroeconomic Analysis, Telecom Act, Teledensity