Information Component of Branding: Case of Public Catering Institutions

Given the widespread penetration of Internet technology in marketing practices, one of which is branding, accelerating the internetization of business processes due to the COVID-19 pandemic and the requirements of social distancing, continuous improvement and expansion of online branding tools, the task of defining and justifying of the role of branding informational component becomes actual. The proposed article is devoted to solving this issue on the example of cases of catering establishments. The application of a set of scientific methods, including review-analytical, system, case-method, induction method, and processing of publications in professional and specialised publications, media materials, social media content, made it possible to distinguish technological and content components in the information dimension of catering establishments’ branding. The content component includes: 1) development of the concept or “legend” of the brand – its positioning in a competitive environment, which determines the key messages aimed at ensuring brand recognition and identification; 2) visual and verbal expression of the agreed concept of the brand: – visual information – logo, room design, staff uniform, site design, representations in social networks; – verbal component – slogan, menu, style and content of messages. The technological component of the information dimension of branding includes those software and technology tools through which information is disseminated about the brand and communication with the customer environment: official websites of institutions, their representation in social networks, mobile applications, messengers, online advertising. It is proved that effective branding involves a harmonious combination of content and technological components. The emphasis on technology and failures in the content component create risks of reputational and financial losses of the enterprise.

Fractals with optimal information dimension

Relevant data is included in the paper.

Fractals with optimal information dimension

Relevant data is included in the paper.

Personalization Dimensions for MHealth to Improve Behavior Change: A Scoping Review

Due to the large number of smartphone users, mHealth has become a popular support to foster users’ health behavior change Personalization is an important factor to increase the effectiveness of mHealth interventions. Based on a literature review, we have listed and categorized personalization concepts associated with behavior change in mHealth into 4 dimensions, users, system functionalities, information, and app properties. The users dimension refers to user-related characteristics such as personality, player profile, need for cognition and perception of social norms. The system functionalities contain the functionalities that can be found in applications such as reminders as well as gamification functionalities such as collectibles. The information dimension concerns the way information is transmitted, such as the source of the message must be expert or the type of feedback to be provided. Finally, there are app properties such as the aesthetics of the application. For the next part, it would be interesting to discover the links we can make between the dimensions.

Prediction of Repeat Customers on E-Commerce Platform Based on Blockchain

In recent years, blockchain has substantially enhanced the credibility of e-commerce platforms for users. The prediction accuracy of the repeat purchase behaviour of e-commerce users directly affects the impact of precision marketing by merchants. The existing ensemble learning models have low prediction accuracy when the purchase behaviour sample is unbalanced and the information dimension of feature engineering is single. To overcome this problem, an ensemble learning prediction model based on multisource information fusion is proposed. Tests on the Tmall dataset showed that the accuracy and AUC values of the model reached 91.28% and 70.53%, respectively.

Outside-in box covering method and information dimension of Sierpinski networks

Self-similarity is a significant property for complex networks. Box coverage method and dimension calculation are vital tools to study the characteristic of complex networks. In this paper, we propose an outside-in (OSI) box covering method for the Sierpinski networks, and it is attested that this coverage algorithm is superior to CBB algorithm. In addition, we deduce the optimal box recurrence formula of weighted and unweighted networks theoretically, and the result is the same as that of the algorithm value. We also obtain the information dimension of weighted network, which verifies the validity and feasibility of our method.

Rekomendasi untuk Situs Web DMO (Destination Management Organization) Wonderful Indonesia Berdasarkan Dimensi Informasi pada Model ICTRT

Website is one kind of information media that can be used as intermediaries of tourism information. Related to that matter, Wonderful Indonesia tourism website has an important role as national-level DMO (Destination Management Organization). However, it has not been recognized yet as something important in term of tourism, especially when viewed from information dimension. Therefore, evaluation based on IPA (Importance-Performance Analysis) was carried out in order to arrange recommendation for Wonderful Indonesia tourism website. Sampling was conducted to travel agencies from ASITA (Association of Indonesian Tours & Travel Agencies) Bali, as the representative of tourism practitioners. Moreover, considering their role as intermediaries between tourism information and the tourists. Based on the results of evaluation, there was two indicators, such as accommodation information and local weather information that needed to be paid more attention. Regarding the evaluation above, further interviews were also conducted in order to get cross-check feedback, so it can be more convincing as recommendation. The interview was based on the experts that coming from government, practitioner, and academics related to tourism as stakeholders, so the recommendation for Wonderful Indonesia website is expected to be proper use according to the needs of users of tourism information.