Business Intelligence System Strategies and Organizational Success in Public Hospitals in Rivers State, Nigeria (Published)
This paper examined business intelligence System strategies and organizational success of public hospitals in Rivers State, Nigeria. The objective was to investigate the relationship between data mining, Online Analytical Processing, Querying System, Report System and organizational success of the public hospitals in Rivers State. Primary data were sourced from a sample size of two hundred and thirty four medical personnel. The test for the internal consistency of the instrument was conducted using Pearson Product Moment Correlation Coefficient (r) which yielded a reliability index of 0.89. Mean and standard deviation were used to examine the extent to which business intelligence affect performance; Spearman’s rank order correlation coefficient was used to test the null hypotheses. The findings of this study found data mining, online analytical processing, querying systems and reporting systems significantly relate to the success of public hospitals in Rivers State; there is a significant relationship data mining, online analytical processing, querying systems, reporting systems and quick decision making as well as time saving, significantly moderates relationship between business intelligence systems and organizational success in public hospitals in Rivers State. The study therefore conclude that business intelligence have significant effect on performance of the hospitals. We recommend that federal and state government should overhaul the health services and bring them into the mainstream of business intelligence scheme.
Innovation Chain Intelligence (ICI) (Published)
The innovation chain is an added value horizontal process that interacts continuously with the external environment, when new products or services are developed. This immense dynamicity influences the decision-making process throughout the idea generation, product design and market exploitation links of the innovation chain. These dynamic information sources could be exploitable by innovation managers, when they are processed through the knowledge base in an iterative mode across the innovation chain. This paper combines business intelligence and knowledge management techniques to conceptualize a logical framework of modelling the innovation chain intelligence. The methodology that is used is the ontological framework for information extraction, knowledge representation and knowledge update related to innovation chain intelligence. This paper conceptualizes the necessary information extraction mechanisms for semi-structured data, using web semantic ontologies to introduce the initial stage of the innovation intelligence chain.
Decision Support Systems: Creating Value For Marketing Decisions In The Pharmaceutical Industry (Published)
Purpose: The purpose of this study is to analyze the impact of decision support systems to creating value for marketing decisions in the pharmaceutical industry. Methodology: This paper was completed with the help of an extensive literature study on decision support/business intelligence and pharmaceutical industry marketing available on the databases and websites. Primary data has been used in this paper to check the impact of information technology market performance. The SPSS software package is used to analyze the employee responses and statistical technique. Regression analysis is used to check the impact of information technology on market performance. Findings: 150 questionnaires were being given to stakeholders in different pharmaceutical companies located in Pakistan. 104 were collected back and 96 questionnaires are considered valid and used are for analysis. After analyzing the data, we find that information technology has significant impact on market performance in pharmaceutical industry. According to the stakeholders, strategic planning, organizational support, knowledge management and technological advancement have significant impact on the success of information technology for decision support. Research limitations / Implications: More research will be required on the theory presented in this thesis “Decision Support Systems: Creating Value for Marketing Decisions in the Pharmaceutical Industry”
Keywords: Business Intelligence, Decision Support Systems, Knowledge Management, Marketing Performance, Organizational support, Qualitative and quantitative study, Strategic Planning, technological innovation
Business Intelligence (BI) shows prospect both in private and public sectors. It answers the questions of how things can be done and what result it holds. It was observed that most of the BI research centered on private sector with little or no attention to public sector like security organizations. With security organizations representing the heart of any society, the need arises for a well-integrated model that could aid security personnel towards an effective security implementation of any society. The paper studied one of the existing and popularly used model in Information System and observed the need to integrate a feasibility study for an effective BI system in the security organization. In conclusion, the paper developed an adaptable model that could help security organizations create better decision system and provision of a data warehouse of information.