The studies have established the possibility of reducing computational complexity, higher productivity of minimization of the Boolean functions in the class of expanded normal forms of the Sheffer algebra functions by the method of image transformations. Expansion of the method of image transformations to the minimization of functions of the Sheffer algebra makes it possible to identify new algebraic rules of logical transformations. Simplification of the Sheffer functions on binary structures of the 2-(n, b)-designs features exceptional situations. They are used both when deriving the result of simplification of functions from a binary matrix and introducing the Sheffer function to the matrix. It was shown that the expanded normal form of the n-digit Sheffer function can be represented by binary sets or a matrix. Logical operations with the matrix structure provide the result of simplification of the Sheffer functions. This makes it possible to concentrate the principle of minimization within the truth table of a given function and do without auxiliary objects, such as Karnaugh map, Weich diagrams, coverage tables, etc. Compared with the analogs of minimizing the Sheffer algebra functions, the method under the study makes the following to be possible:-reduce algorithmic complexity of minimizing expanded normal forms of the Sheffer functions (ENSF-1 and ENSF-2);-increase the productivity of minimizing the Sheffer algebra functions by 100-150 %;-demonstrate clarity of the process of mi nimizing the ENSF-1 or ENSF-2;-ensure self-sufficiency of the method of image transformations to minimize the Sheffer algebra functions by introducing the tag of mini mum function and minimization in the complete truth table of the ENSF-1 and ENSF-2. There are reasons to assert that application of the method of image transformations to the minimization of the Sheffer algebra functions brings the problem of minimization of the ENSF-1 and ENSF-2 to the level of a wellstudied problem in the class of disjunctiveconjunctive normal forms (DCNF) of Boolean functions
Аннотация: Тема вовлечения потребителей в совместное создание ценности активно обсуждается в мировой экономической литературе. Одними из ключевых показателей эффективности успешного вовлечения потребителей в ССЦ являются лояльность и «сарафанное радио» (WOM), которое создается вокруг бренда. Эффекты социальных сетей существенно влияют на бизнес гостиничных компаний, сфокусированный на впечатлении потребителя. Данная статья посвящена анализу влияния eWOM-эффектов на принятие решения о покупке туристического продукта и трансформацию бизнес-моделей компаний данного рынка в условиях изменившейся роли потребителя.Ключевые слова: эффекты социальных сетей, WOM-эффекты, eWOM-эффекты, вовлечение потребителя, совместное создание ценности, лояльность потребителя, инновации, бизнес -модель, рынок гостиничных и туристических услуг.
THE IMPACT OF ELECTRONIC WORD-OF-MOUTH IN TOURISM ON HOTELS' BUSINESS MODELS TRANSFORMATIONAbstract: The topic of consumer engagement in co-creation is actively discussed in the world economic literature. One of the key performance indicators of such engagement are customer loyalty and word-of-mouth. Electronic wordof-mouth influence on business of hotel facilities, which are focused on customer's impression. This article is devoted to the analysis of the impact of electronic word-of-mouth factors on consumers' buying decision-making processes and hotels' business models transformations based on the changed consumer's role.
Modern Ukraine is not an active participant in the global cryptocurrency market. The estimated factor was the volume of transactions for this type of currency, as well as the degree of infrastructure development for this currency, assessed as very specific. At the same time, according to experts in this industry, Ukraine is more likely at a development stage than an outsider in the cryptocurrency industry. We also analyzed the positive and negative aspects of working with cryptocurrency. The protocol for working with this currency is considered in sufficient detail in order to identify opportunities, shortcomings, and features of a new position in the currency sphere. Ukraine will give an explanation to the fiscal policy in this matter.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.