Mass communicat ion in general and mass media specifically confront rising challenges to collect information faster at lower cost. These challenges must be coordinated with organization's strategic, tactical, and operational needs via the align ment of Informat ion Technology (IT) with the business strategy. A successful IT strategic plan is based on four main p riorities. These are IT-Mass med ia alignment escalation, IT governance enhancement, IT significance imp rovement, and IT investments grade. In this study, the IT strategic plan follows a timetable via a road map and is exposed to alteration based on the business process changes. The development o f IT strategic plan consists of five phases. These phases include the purpose of the plan, the business requirement, and the business requirements' validation. The phases also include the procedures needed for eliminating the gaps between the state of "to be" and the IT processes state, and the plan a pproval. The ult imate goal is a Modern Mass Media Industry. This paper provides an innovative solution to accomplish this goal by accelerat ing mass media processes time. The p rocess' time is accelerated via an Intelligent Search Lifecycle Arch itecture (ISLA); which integrates Search Engine, Informat ion Ext raction, Informat ion Retrieval, Data Min ing and Data Warehouse using Service-Oriented Architecture (SOA). The design methodology of the study of this solution is a post-positivist approach to empirical research. A prototype is created and examined in order to validate the concepts.
Modernization of medical industries experiences numerous challenges. The modernization requires an innovative solution to determine diagnosis of diseases and the best treatment. This solution discovers related diseases to doctors' original diagnosis and quickly reassesses the situation if their diagnosis is incorrect. It also should eliminate unnecessary treatments and testing. It shortens time spent in hospitals for patients. This research, as reported in this paper focuses on creating such a solution in the form of an Intelligent Information Retrieval Lifecycle Architecture Based Clustering Extended Genetic Algorithm Using Service-Oriented Architecture (SOA). The purpose of the solution is to develop concepts and techniques based on the architecture to accelerate processing time of information retrieval at lower cost. The solution provides medical tasks that support strategic decision making and operational business processes. In a SOA environment, the study of this research develops new intelligent concepts of integrating approaches of search methodologies, information retrieval, clustering, genetic algorithm, and intelligent agents. A prototype is created and examined in order to validate the concepts.
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