Development of dynamic model of forming investment value of resources in information systems of integrated service networks
DOI:
https://doi.org/10.15587/2312-8372.2018.129927Keywords:
information system, dynamic regulation, dynamic investment, price policy managementAbstract
The object of research is the investment value of pricing policy, maximizing investment profit in the developed information system. One of the most problematic places is determining the cost of adjusting the input investment resource taking into account the dynamic correcting element, the component of the variable time and the basic investment resource. When characterizing the invariability of fluctuations in business cycles, the key problem is limiting the provision and consumption of the initial value of investment resources and the complexity of differential adjustment of factors of production. And also the application of the method of linear multithreaded modeling of the investment process of the cost of an information resource allows to differentially regulate the change in the price of an information resource, both the initial cost of consumption, and the adjustment of the investment value of assets.
In the course of the research, the approach of linear modeling of the amount of receiving and supply of information resources in the dynamic investment process model is used, it allows to eliminate fluctuations in the cost of the investment process in cost and payback.
A three-stage procedural model for calculating the cost of an information resource in a dynamic investment process with the ability to view the price and regulate the volume of the cost of supply and consumption is obtained.
The economic content of the price policy is developed for a situation in which the network opportunity is tightly limited by the price of consumption, volume and cost and also, if the network operator evaluates the services without considering a possible limitation and in the case of guaranteeing the information system service, when the information system can’t meet the performance requirements. In this case, the obtained strategy shows that the enterprise information system should contain the ability to dynamically regulate the volume of consumption, provide information resources and dynamically regulate the investment component of the value of assets.
The selectivity of this approach in the complex dynamics of the investment value of the information system contains an incomplete estimate of this type of product. Therefore, there should be a scheme of constant revision of its cost, which contains a dynamic component of the investment value of the information system.
References
- Brailsford, T., Gaunt, C., O’Brien, M. A. (2012). The investment value of the value premium. Pacific-Basin Finance Journal, 20 (3), 416–437. doi:10.1016/j.pacfin.2011.12.008
- Briglauer, W., Cambini, C., Grajek, M. (2018). Speeding up the internet: Regulation and investment in the European fiber optic infrastructure. International Journal of Industrial Organization. doi:10.1016/j.ijindorg.2018.01.006
- Huang, Y., Soder, L. (2017). Assessing the impact of incentive regulation on distribution network investment considering distributed generation integration. International Journal of Electrical Power & Energy Systems, 89, 126–135. doi:10.1016/j.ijepes.2017.01.018
- Information System Investment Questionnaires 1995–1997. (2005). Economic Analysis of Information System Investment in Banking Industry. Springer-Verlag, 193–206. doi:10.1007/4-431-27381-6_11
- Prajogo, D., Toy, J., Bhattacharya, A., Oke, A., Cheng, T. C. E. (2018). The relationships between information management, process management and operational performance: Internal and external contexts. International Journal of Production Economics, 199, 95–103. doi:10.1016/j.ijpe.2018.02.019
- Karmarkar, U. S. (2000). Financial Service Networks: Access, Cost Structure and Competition. Creating Value in Financial Services. Springer US, 267–287. doi:10.1007/978-1-4615-4605-4_14
- Zhou, Z. Q., Sinaga, A., Susilo, W., Zhao, L., Cai, K.-Y. (2018). A cost-effective software testing strategy employing online feedback information. Information Sciences, 422, 318–335. doi:10.1016/j.ins.2017.08.088
- Paggi, H., Soriano, J., Lara, J. A. (2018). A multi-agent system for minimizing information indeterminacy within information fusion scenarios in peer-to-peer networks with limited resources. Information Sciences, 451–452, 271–294. doi:10.1016/j.ins.2018.04.019
- Meyn, S., Negrete-Pincetic, M., Wang, G., Kowli, A., Shafieepoorfard, E. (2010). The value of volatile resources in electricity markets. 49th IEEE Conference on Decision and Control (CDC). doi:10.1109/cdc.2010.5717327
- Alinaghian, L., Razmdoost, K. (2017). How do network resources affect firms’ network-oriented dynamic capabilities? Industrial Marketing Management. doi:10.1016/j.indmarman.2017.12.006
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2018 Serhii Chapran
This work is licensed under a Creative Commons Attribution 4.0 International License.
The consolidation and conditions for the transfer of copyright (identification of authorship) is carried out in the License Agreement. In particular, the authors reserve the right to the authorship of their manuscript and transfer the first publication of this work to the journal under the terms of the Creative Commons CC BY license. At the same time, they have the right to conclude on their own additional agreements concerning the non-exclusive distribution of the work in the form in which it was published by this journal, but provided that the link to the first publication of the article in this journal is preserved.