The Mobile Enterprise is a new form of enterprise in the contemporary mobile era. Although several well-known enterprise architecture frameworks are used by enterprises, it is apparent that there is no industry standard available to enable an enterprise to transform its business processes to incorporate mobile technologies to advantage. This paper presents a conceptual Mobile Enterprise Architecture Framework and supporting methodology and process model which can aid enterprise decision makers to evaluate the business values, and analyze the risks and other critical business and technical factors for enterprise mobile initiatives and mobile transitions. The framework covers both the enterprise and mobile enterprise architecture domains that represent the Enterprise, Business, and Mobile Adoption levels. The goal at the Enterprise Level is to obtain a mobile enterprise and the technologies adopted at the Mobile Adoption Level are the different mobile technologies to be incorporated. Each level contains some important components impacting the mobile enterprise transformation. The methodology and process model cover the Strategy, Analysis, Design, Implementation, and Maintenance stages for each mobile initiative, and were validated in a research project against some Ontario Government mobile initiatives.
In this chapter, the authors review the landscape of research methodologies and paradigms available for Information Technology (IT) and Software Engineering (SwE). The aims of the chapter are two-fold: (i) create awareness in current research communities in IT and SwE on the variety of research paradigms and methodologies, and (ii) provide an useful map for guiding new researchers on the selection of an IT or SwE research paradigm and methodology. To achieve this, the chapter reviews the core IT and SwE research methodological literature, and based on the findings, the authors illustrate an updated IT and SwE research framework that comprehensively integrates findings and best practices and provides a coherent systemic (holistic) view of this research landscape.
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