Abstract
In global circumstances, speedy and high quality of information required by CEO of Enterprise for quicker and better decision-making. IRM is the new concept and methods for improving the quality of CEO’s decision. However, IRM is still understood by CEO as a bit/byte tool. These phenomena is caused by CEO’s ignorance of importance of Information Resource. CEO must understand IRM as new role for enterprise. This paper reports variety of tangible analysis views of IRM merits and demerits. CEO may have a vision of IRM as a powerful management approach. This analysis is based on about 100 enterprises’ experiences and one third of those were successful examples of IRM implementations in Japan. KSF is CEO’s endeavor who deeply knew of tangible merits. Any of them requested the quantified data of direct and measurable savings and investments. They could understand how investments into IRM is justified by savings through actual figures shown by analysis. By this analysis, CEO could imagine both the best-case scenario and worst-case scenario. Once CEO decided to move into IRM implementation after he had gotten belief of medium-case scenario that the enterprise is keeping smoothly-up annual sales volume and continues to improve revenues in step by step. Information enabled enterprise will suffer from rapid cost-up of information related expenses. Vincent [1] proposed “Information-Investment Accounting” and “Reporting in Financial Statements”. Japanese Enterprises are to succeed in controlling Information related costs, after grasping those costs, then in the next step, the Accountant should restate current PL statement. Vincent’s idea is that instead of not replacing the regular P&L, but providing further information with CEO. If one column is added, the figures of Information expenses and investments become very apparent. Vincent moreover, requested Restating the Balance Sheet.
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© 2008 Springer-Verlag Berlin Heidelberg
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Matsudaira, K., Ichikawa, T., Mizuno, T. (2008). Effect Analysis in Implementing IRM (Information Resources Management) to Enterprise. In: Lovrek, I., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2008. Lecture Notes in Computer Science(), vol 5179. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-85567-5_20
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DOI: https://doi.org/10.1007/978-3-540-85567-5_20
Publisher Name: Springer, Berlin, Heidelberg
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