Digital transformation has altered the way customers interact with restaurants. As a result, digital transformation has had an enormous impact, changing restaurant customer value. Therefore, this research aims to develop a dynamic and sustainable method for creating customer value in digital transformation. This study suggested digital dynamic capabilities and digital customer orientation as a process model (i.e., sensing, seizing, transforming, and refining) to develop digital transformation and create a dynamic customer value. We chose fast-food restaurants in Egypt to examine the proposed model using a qualitative approach of semi-structured interviews with fast-food managers and hospitality experts. The findings indicated that fast-food restaurants’ different digital transformation capabilities and tools (e.g., value innovation, SWOT analysis, artificial intelligence, new technology selection criteria, digital maturity, building several digital platforms, and gathering and analyzing customers’ online reviews) help them create customer value. However, interviewees highlighted how well-suited the suggested digital dynamic capabilities are to serve as drivers of digital transformation in fast-food restaurants and create a dynamic customer value. This research expands the dynamic capabilities theory by adding digital customer orientation (i.e., proactive and reactive to customer feedback) to develop digital transformation and create customer value in fast-food restaurants. This research provides fast-food restaurant managers with an in-depth explanation of how to implement the digital dynamic capabilities model for executing digital transformation and developing a new dynamic customer value.

The increasing global challenges are highlighting the importance of open-mindedness, thinking "outside the box", and the ability to view a situation from different perspectives. The integration of various bodies of knowledge and the application of creative methods in a practical professional domain are becoming critical skills nowadays. This paper aims to study the experience of Russian universities in teaching creativity to students and to propose the courses and programs which enhance the students' creativity. The data was collected by examining the curricula, students' outputs and activities as well as by conducting a survey. The set of questionnaires was designed to measure the components of the students' creative potential and to find out their information processing skills (in lectures, while working independently, preparing for seminars). Moreover, the students were asked to assess the professors' motivation to foster students' expression of their individual creativity and creative teamwork. The professors, in turn, were interviewed in order to receive the evaluation of the students' learning outcomes. The article outlines the proposed by Russian universities courses and programs on unlocking and increasing their students' creative potential and describes the complex of measures taken by Kazan Federal University in order to enrich and implement its students' creativity.

Studying brand love is vital for hospitality establishments because it helps them understand their customers’ feelings and perceptions toward their brands, especially with the growing number of hospitality brands. However, previous hospitality research has neglected the relationship between customer value and brand love. Therefore, this study investigates the influence of customer value on brand love of fast-food restaurants with a moderating role of electronic word of mouth. The research model was empirically evaluated on 385 fast-food restaurant brand customers in Greater Cairo, Egypt, who had previously participated in restaurants’ online communities. We used structural equation modeling to examine the research data. Results indicated that customer value is crucial in increasing brand love sub-dimensions (i.e., intimacy, passion, and commitment). The results also confirmed that the utilitarian value affects more than the hedonic value of brand love sub-dimensions, and the latter significantly impacted customer loyalty. In addition, electronic word of mouth moderated the relationship between the two types of customer value and brand love sub-dimensions. Hence, the current study adds a new factor (i.e., customer value) that affects the brand love of restaurants to the hospitality literature. Accordingly, the study will present several practical implications to increase customer value and, thus, brand love and customer loyalty.

Global statistics indicate increasing in private investors’ activity. Instead of the debate about the growing infrastructure needs and adequacy of funding to meet, the more urgent is the search for more effective mechanisms to attract investment in infrastructure assets. The chief objective of the study is to analyze the demand for infrastructure services to ensure the activities of organizations forming the priority clusters in the region, made for orientation on the existing industry need in the infrastructure support plans formation, concerning the construction financing of transport and other Infrastructure on a parity basis for economic growth. It is determined that the quality of transport connections play a vital role. It was established, that in all studied clusters, there is a tendency to increase transport services demand. Given the results, the petrochemical cluster enterprisestrochemical cluster is ready to finance transport infrastructure from the profits (perhaps on a matching base state) to remove the constraints of its industrial growth. For marginal assessment of investments into the development of a transport complex efficiency, the regression model "investments - profit" is received. It is suggested that with the growth of the industry, its profit is increasing at a rapid pace, each additional ruble of investment brings higher returns.

The expedience of forecasting the engineering industry development, based on the institutional approach is substantiated, trends, challenges and risks of engineering industry in Russia, including "institutional trap" identified in the article. Engineering industry development scenarios in Russia based on the author's model are considered for the period until 2018. As a tool for building the predictive model the method of correlated-regression analysis is used, as it allows to determine the kind of mathematical functions causation, synthesize diversity of variables in the model and simulate their behavior. The model allows determining the optimal structure and the volume of labor and capital in the future to ensure the growth of sales of engineering products of each species in the national and global market, as well as mechanisms of fiscal and trade policies that maximize the value of sales volumes of engineering industry in Russia.