6. LIFE CYCLE MODEL OF COMMERCIAL CONTENT PROCESSING
6.1. INTRODUCTION
Information technology specialists in designing, implementation and deployment of electronic content commerce systems (ECCS) deal with the information resources processing at various levels. They contribute to the goal to increase sales volumes of content a regular user, the active involvement of potential users and the boundaries expansion of the target audience [1, 2, 5]. The special feature of ECCS is as follows [1-8]: open – access for all companies and users; global – access from anywhere in the world; unlimited in time – available at any time of the day/week/year; frankness – a low barrier to market entry; direct interaction with the user – reducing the channels of distribution and elimination of intermediaries production; information products and information services testing and implementation; automatic processing requests; automatically track information about users; reducing costs for the business operation; providing more information in online. Urgency of ECCS implementation due to business globalization; increasing needs of content and quick access to the content for the successful conduct of e-business; uneven operation of business processes according to regions (countries, regions, etc.); the need to promptly, regularly and periodically receive the necessary content; time-saving to obtain the desired content; personalization in service in the ECCS; with integration ECCS [2]. Advantages of ECCS implementation are to increase the efficiency of content obtaining; reducing the cycle of production and sales; reducing costs associated with the information exchange; openness about users; automatically informing users about the content; creation of alternative sales channels such as the newsworks or online logs in Internet [2, 5]. The initial information in process operation of ECCS is evidence of appointment and conditions of the system. They define the main purpose simulation ECCS. They also make it possible to formulate the requirements for systems and content processing subsystems. [2] Model ECCS is , which – entrance effects on the system; – the users impact on the system; – the content impact on the system; – the external environment; – the internal parameters of the system; – information resources components of system; – time transaction of the content processing; – output characteristics of the system [2]. The quantities , , , , are the elements of disjoint subsets. They contain deterministic and stochastic components [2].
The process of ECCS operation described by the function [2], where – the requests for information of visitors/users to ECCS. According to Google Analytics from [5] – the number of visits per time period ; the average time on site (min: c); rate of failures (%); achieved goal; dynamics (%); the number of all browsing; the number of page views for each visit; new visits (%); absolute unique visitors; traffic sources in % (search engines, direct traffic or other sites). Effects of values, , on to ECCS is unknown and unexplored [2].
The ECCS model does not reveal the mechanisms of content processing. [2] Formal models of content management assignment for determining the aging (relevance) process of content stream. Some of them (logistics, analytical) are also intended to the thematic flow analyze [2-4, 6-9]. They do not solve the problem of the content formation and maintenance. They also solve the problem of not all content management, such as content submission plurality of end user according to his request, history or information portfolio; thematic content identification; automatic generation of digests and information portraits; content relationship tables building; content ratings calculation; information gathering from various sources and formatting; keywords/concepts identification; content duplicates finding; content categorization; selective dissemination of content [1-8]. Disadvantage of content management models is a connections lack between input data, content and output data in the ECCS [2].
The purpose of the work is the functional logistic model creation of commercial content processing for the information resources formation in e-business systems. The work relevance is the need to operational/objective assessment obtain of competition in the financial market segment of commercial content and evaluate the financial market competitiveness of the content distribution. In the work we will examine the stages of information resources processing and develop an optimal life cycle for content processing. Implementing of functional logistic model of commercial content processing enables a means of information resources formation in e-business systems.
6.2. RESEARCH RESULTS ANALYSIS
The main subsystems of information resources processing in ECCS are the content formation, management and support, the circuit connections which is as follows [2]: content formation ® content management ® content support. Model of electronic content commerce systems presented as
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