The Effect Of Mobile BI On Organisational Managerial Decision-Making

Managerial decision-making has always involved the use of numerous distinct information resources. Modern managerial decision-making processes require a wealth of information that is enhanced and transformed into knowledge in order to take effective action. Mobility in business is increasingly exercising influence on core business processes of organisations. Recent advances in wireless technologies coupled with the rapid growth of mobile devices in business have led to a new era in business computing. Mobile Business Intelligence (Mobile BI) is a system that has been conceived to assist, accelerate and to enhance the managerial decision-making processes. Drawing from an array of previous studies that attempted to measure the value of Business Intelligence (BI) and other IT systems in organisations, this study develops a new kind of measure which is based on an understanding of the distinct properties of Mobile BI systems in an organisational-oriented context

A framework for mobile SOA using compression

The widely accepted standards of Service-Oriented Architecture (SOA) have changed the way many organisations conduct their everyday business. The significant popularity of mobile devices has seen a rapid increase in the rate of mobile technology enhancements, which have become widely used for communication, as well as conducting everyday tasks. An increased requirement in many businesses is for staff not to be tied down to the office. Consequently, mobile devices play an important role in achieving the mobility and information access that people desire. Due to the popularity and increasing use of SOA and mobile devices, Mobile Service-Oriented Architecture (Mobile SOA) has become a new industry catch-phrase. Many challenges, however, exist within the Mobile SOA environment. These issues include limitations on mobile devices, such as a reduced screen size, lack of processing power, insufficient processing memory, limited battery life, poor storage capacity, unreliable network connections, limited bandwidth available and high transfer costs. This research aimed to provide an elegant solution to the issues of a mobile device, which hinders the performance of Mobile SOA. The main objective of this research was to improve the effectiveness and efficiency of Mobile SOA. In order to achieve this goal, a framework was proposed, which supported intelligent compression of files used within a Web Service. The proposed framework provided a set of guidelines that facilitate the quick development of a system. A proof-of-concept prototype was developed, based on these guidelines and the framework design principles. The prototype provided practical evidence of the effectiveness of implementing a system based on the proposed framework. An analytical evaluation was conducted to determine the effectiveness of the prototype within the Mobile SOA environment. A performance evaluation was conducted to determine efficiency it provides. Additionally, the performance evaluation highlighted the decrease in file transfer time, as well as the significant reduction in transfer costs. The analytical and performance evaluations demonstrated that the prototype optimises the effectiveness and efficiency of Mobile SOA. The framework could, thus, be used to facilitate efficient file transfer between a Server and (Mobile) Client