Portfolio Performance Measurement Based on Service-Oriented Grid Computing: Developing a Prototype from a Design Science Perspective

Abstract

The current challenge for the financial services industry is to improve and refine the structures of the past to meet changing information requirements and to integrate them into existing enterprise architectures. In order to meet these computational demands, Grid computing presents a secure, reliable and scalable technology to provide shared access to heterogeneous resources.This paper presents a new Grid-based, serviceoriented architecture for portfolio performance measurement. As proof of concept we developed a prototype implementation of a Grid-based architecture and integrated it as a new artifact into the existing enterprise architecture of a financial services company. Our research and implementation follows the design science approach leading to an IT artifact (prototype). The final evaluation and comparison of the depicted Grid-based prototype and the non-Grid-based system is not depicted in this paper. Those issues are introduced in the 'Further Research' section but still not conducted. The contribution of this paper outlines the implementation and technical evaluation of the Gridbased prototype within a design science approach.

Anatomy of Knowledge Bases Used in Design Science Research

“…Often researchers leverage knowledge of more than one discipline (e.g., IS and CS knowledge) to inform their designs (11 articles). Examples for applied justificatory knowledge are agile development methods [81], system development lifecycles [56], the interaction model of SOA [54], grid-based architecture principles [82] or the wide-audience-requirement engineering method [81]. In contrast to formal theories or MRT / PTiU which often originate from other sub-disciplines of the super ordinate research field (e.g., psychological theories), justificatory knowledge is often very context specific and results from the same sub-discipline (see Table 5).…”

Caracterización de Sistemas intensivos en Software desde un punto de vista de innovación=Characterizing Software-intensive Systems from the innovation point of view

“…Nabukenya [72] integrated design science and action research; where design science drove the research and Action research was applied to validate the parts defined in the theory and case study research to study new phenomena and build theories. Design science has also been used successfully as a problem solving method in different application domains like: maturity models [56] or portfolio measurement management [109]. In our approach, Design science has been selected to drive the artefact building process, extending its capabilities in the design cycle with Thematic Synthesis [25] and Conceptual Modelling [110] increasing the robustness of the building process.…”