2,167 research outputs found

    Brand Marketing Trends in Russian Social Media

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    In the paper, the authors have reviewed common actions, an aim of which is consumer engagement in interactions with a brand in social media. They have also reviewed engagement types and effects of their use. Based on a literature review, in a clearer way, the authors have presented attributes of Internet marketing and explored brand-marketing challenges on the Internet. Authors have summarized the information on Russian users' efforts in social media. Based on empirical data, the researchers have made a portrait of media actors and the audience in Russian social media, identified target groups among consumers by a number of criteria. They have also completed an analysis of common ways for promotion of companies (brands) and their products and services, taking into account a structure of social media users and specifics of communication channels. Findings include identified most common lines of business for promotion in a competitive social media based on efficiency of the engagement response (rate) per brand/product-specific page or post. These data have made it possible to formalize strategic goals and possible results of brand marketing for various types of social media

    Moving Objects Tracking in Distributed Maritime Observation Systems

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    This paper considers the processes of target tracking complicated by big data gaps in complex media such as Distributed Maritime Observation System (DMOS). The main purpose of DMOS is to support the favorable navigation conditions, monitoring, life-saving on the sea for different ships in harbors, maritime roads and open sea. DMOS can be considered as a heterogeneous distributed computer system, it includes different layers of services at different levels of abstraction: ship, harbor; regional and global levels. Such a framework is based on several satellite and maritime information systems that nowadays favor the integration of maritime data (e.g., AIS, ECDIS, OPTIMARE, GMDSS). Despite of the input data big volume the situations exist when gaps (e.g., time delays from minutes to hours) between target observations’ points are different. Well known algorithms of target tracking do not work properly in such situations. The proposed approach describes synthesis of analytical and simulation methods at tactical hypothesis development for the cases when suitable direct analytics is not applicable. Also, a joined artificial techniques’ scenario approach to tactical situation hypothesis development is proposed

    Cryptoeconomics: expert evaluation methodology of ICO start-ups in the processes of financial innovation management

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    Objective to develop a new methodological approach to the evaluation of innovative projects and technological startups which organize ICO. Methods method of comparative analysis method of measurement inductive method of cognition logical methods of cognition. Results the paper discusses the events taking place in the market of alternative finances and demonstrates a new methodological approach to assessing the investment and innovation potential of startups implementing the ICO procedure. The methodology of evaluating the ICO startups is presented which enables to make a choice and selection of target projects groups in a particular field of activity for example in fintech insurtech. The stages of this assessment are considered. The developed method has been applied in practice for the evaluation rating of ICO projects in the insurance sector and showed its efficiency. Its use allowed the authors to identify the fraudulent project and choose the ldquobestrdquo one using the rating results. Scientific novelty a methodology was created which enables to conduct expert evaluation of ICO projects. Practical significance the main provisions of the article can be used in the evaluation of startup projects in the work on ratings development. Also the method of expert evaluation can be used in academic and pedagogical activities on the subject of alternative finances ndash ICO
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