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.

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.

Digital transformation keeps converting government, business and individual work to digital format. However, only a limited number of research deals with studying countries’ readiness for digital transformation and its impact on the fact how enterprises use advanced technologies in order to create value. Therefore, the goal of the research is to investigate the impact of Egypt and Russia readiness for digital transformation necessary for business to master new technologies for creating value during the decade from 2008 to 2017. The date analyzed by the authors is longitudinal, which forms the basis of the panel research. As a result it was found that steps taken by Egypt and the Russian Federation in the field of digital transformation (R & D expenses, the number of scientific and technicalspecialists in R & D sphere) influence on mastering digital technologies by business and creating of technological values. Thus the research extends the current knowledge concerning digital transformation and it is of practical importance for governments of Egypt and Russia in view of recommendations to raise their readiness for digital transformation and to continue research in the field.

Digital transformation is a way to increase value for guests in restaurant business. Thanks to it, restaurants can provide their guests with more personalized services. Moreover, digital transformation helps restaurants become more efficient and save money and at the same time it gives more opportunities and better service to customers, improves marketing strategies and attracts more guests. The goal of the research is to estimate dynamic capacities of restaurants for creating customer values in conditions of digital transformation. The research studies three dynamic capacities of digital probing: digital surveillance, digital scenario planning and shaping digital thinking. Digital surveillance helps restaurants find potential opportunities for digital transformation and develop strategies, which can provide profits from these opportunities. Digital scenario planning helps restaurants plan potential results of digital transformation and develop strategies, which can provide profits from potential opportunities and reduce potential risks. Shaping digital thinking helps restaurant owners, managers and employees develop necessary culture in order to implement changes and introduce innovation. Thus, the research can enrich the theoretical foundation of the sector of tourism and hospitality. The proposed three dynamic capacities can be used to realize opportunities of digital transformation for creating values for customers. In practice the research shows how restaurants can use existing opportunities.

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.

This study examines the impact of disinformation, specifically Plandemic, on public health responses within the context of COVID-19. The IDOM-H Framework integrates information economics, decision-making, and platform governance to examine how disinformation online affects epidemiological trends in the United States, Canada, Australia, New Zealand, and Ireland. A mixed- methods approach integrates official COVID-19 data with Facebook engagement and Google Trends. findings show a moderate and positive relationship (r = 0.62–0.63) between exposure to disinformation and total COVID-19 cases and deaths. While post-publication audience metrics increased, there was no significant association (p = 0.8021) between social media engagement and new daily cases. Subsequent research should utilize Granger causality and instrumental variable models to circumvent correlation limitations. Disinformation has no impact on case results but undermines public trust and causes long-term behavior modification. Targeted digital literacy and open platform governance are necessary to reduce long-term harm.