The implementation of information system in big company with wide affiliated network in the country, as a rule, is connected with organization and technical difficulties. The process stretches out in time and not always leads to the intended effect.
This article considers the implementation of information system of industrial process automation and workflow of subscriptions for periodical printed publications in the Russian postal units FSUE «Russian Post». The condition of business-process automation before the implementation is estimated. The organization and technical problems that arise during implementing new information system are examined, such as continuity of the technological process, impossibility of start operation with «empty database», problems of personnel development, unification of business-process and a large quantity of implantable objects (more than 42 000). In conclusion the advantages which post operators can get from the implementation of unified information system are analyzed.
The article’s matters can be of interest to experts studying the implementation of information system.
The purpose of IT consulting is to provide recommendations pertaining to information system strategic management, IT architecture evaluation, design and development, enterprise business process automation project management and many other issues relating to the use of computers and information technologies. Success in this field depends predominantly on insight of factors, which realization enables to concentrate resources in those areas where a provider can get a significant edge over major rivals and gain the best position in a target market. However at present there is no universal, generally accepted tool to determine such factors.
This paper suggests an approach to determine corporate critical success factors for providers of IT consulting services and formulates relevant approached-based preparation and implementation recommendations.
We consider such sources of critical success factors as industry-specific characteristics of IT consulting, characteristics of general environment (economic, political, social and technological), timing factors, competitive strategy and position, specifics of IT consulting service provider’s management structure and specifics of IT consulting areas.
Based on analysis of these sources we suggest sets of success factors which constitute an underlying information basis for critical success factor selection procedure.
Activities to identify corporate critical success factors are suggested to be implemented in the project format. For each project phase basic tasks defined, and recommendations are articulated for implementation of relevant activities, as well as composition and content of project documentation.
These outputs may be used by providers of IT consulting services in the process of identification of corporate critical success factors, as well as by consulting firms involved in implementation of such projects.
Information and communication technologies have changed the world, affecting all sectors of the national economy including the medical industry. There is rapid growth in the dependence of the quality of medical services on the use of information systems. Gradually, information systems are beginning to take over part of doctors’ work. Digitalization also has affected ordinary citizens. There is a growing popularity of electronic applications and Internet resources in the health care industry among users of the network. As a result, self-diagnosis and self-treatment are improving with their use. Therefore, it is important to assess the possibilities for the coexistence of traditional medicine with modern digital technology opportunities that the citizens are facing these days.
The authors of this research have carried out a series of studies to identify the patterns of patient behavior using electronic applications and Internet resources for self-diagnosis, as well as factors that contribute to or impede the development of such use. The following actions were performed: high-quality content analysis of medical web applications, 40 in-depth interviews with doctors and pharmacists, a mini focus group with representatives of the health service, as well as an online survey of two hundred respondents in the social network Facebook.
As a result of the study, patients were segmented according to typical behavioral patterns with regard to the use of electronic applications and Internet resources in the field of medicine. We identified the attitude towards Internet self-diagnosis of doctors and pharmacists on the one hand and patients, on the other, as well as factors contributing to or impeding the growth of Internet diagnostics.
Data Center (DC, Data Centre) and the assets of the company. Interconnection and mutual influence. The article aims to give a clear view of how the data center may have an effect on the company's assets and their final cost, and also give an idea of what the data center itself, within the enterprise, also is an important asset, and in some business models, data center - is a key asset of the company. Based on definition of "assets" and "data center" in this article reviews the options for participation of the data center in the business of company and its impact on the final cost of the company through the company's assets.
The article reveals the essence of the principle of technological neutrality. His influence on the practice of application of new technologies in society. The comparison of mechanisms for the implementation of this principle in Russia and in other countries. Describes the international experience.
In this paper we consider formal model of an online community as a combination of social and semantic networks. An approach is suggested to measurement of maturity level of a professional community based on two groups of parameters, which characterize competency level and density of contacts correspondingly. We present preliminary results of the pilot testing of the proposed approach for evaluating several city IT-communities in Central Russia. The paper is based on the authors’ experience and achievements obtained in their work to develop Virtual Skolkovo online community.
The problem of population ageing became very important for the recent decades especially for developed countries. Better quality of life together with improvements in medical care allows people to live longer, however the population ageing brings severe social and economic impacts such as increased demand for medical care, high risk of chronic disease, growing pensions and medicine spends. ICT is seen now as an innovative way of solving some of these problems. Recent concepts of telecare, telemedicine and independent living brought the opportunities for ageing problems resolutions. Diverse service providers and solution developers work separately on their own products while there is huge opportunity of combining them together using SOA. In this article the diabetes case is examined and the event-driven service oriented approach is used to create the architecture of information system supporting distant health management. Together with detailed architecture description and its advantages, ICT for ageing market overview and its' key barriers are given in this paper.
The article deals with a through service-oriented design of integrated information-analytical systems based on architectural approach using ontological modeling framework of the Enterprise architecture. It describes the complex ontological models of the enterprise: a model of meta-ontology, model of the business environment and the ontology of strategic information systems in accordance with the scheme of an enterprise architecture framework, the ontology of strategic decision making
In the paper integrated information systems for corporate planning and budgeting are considered. Four groups of practical tasks exceeding the bounds of typical functionality of special-purpose planning and budgeting information systems are allocated. Several classes of information systems (simulation, statistical analysis, financial analysis and modeling, group decision making, business intelligence), which may provide the completeness of corporate planning and budgeting are denoted as solutions complementary to special-purpose planning and budgeting systems.
Most of financial operations are used in uncertainty and require risk management. Risk management system should consist of the proved technique and methodology risks management and technology base supported by IT system. The choice of program software for risk management seems to be a hard task for the company staff and requires involvement of professional specialists.
In the paper a new method for definition of control points in projects is advanced. The method is based on information approach to diagnosing of objects described by the means of functional models.
The problem of assessing out-of-sample forecasting performance of event-history models is considered. Time-to-event data are usually incomplete because the event of interest can happen outside the period of observation or not happen at all. In this case, only the shortest possible time is observed and the data are right censored. Traditional accuracy measures like mean absolute or mean squared error cannot be applied directly to censored data, because forecasting errors also remain unobserved. Instead of mean error measures, researchers use rank correlation coefficients: concordance indices by Harrell and Uno and Somers’ Delta. These measures characterize not the distance between the actual and predicted values but the agreement between orderings of predicted and observed times-to-event. Hence, they take almost “ideal” values even in presence of substantial forecasting bias. Another drawback of using correlation measures when selecting a forecasting model is undesirable reduction of a forecast to a point estimate of predicted value. It is rarely possible to predict the timing of an event precisely, and it is reasonable to consider the forecast not as a point estimate but as an estimate of the whole distribution of the variable of interest. The article proposes computing Cox–Snell residuals for the test or validation dataset as a complement to rank correlation coefficients in model selection. Cox–Snell residuals for the correctly specified model are known to have unit exponential distribution, and that allows comparison of the observed out-of-sample performance of a forecasting model to the ideal case. The comparison can be done by plotting the estimate of integrated hazard function of residuals or by calculating the Kolmogorov distance between the observed and the ideal distribution of residuals. The proposed approach is illustrated with an example of selecting a forecasting model for the timing of mortgage termination.