scholarly journals دور الهوية البصرية في بناء صورة الماركة : إدراك المتلقي الأجنبي لصورة الماركة المصرية = The Role of Visual Identity in Brand Image Building : The Foreign Consumer Perception of Egyptian Brand Image

2018 ◽  
pp. 1-20
Author(s):  
أحمد أحمد حلمي
Keyword(s):  
Brand Image ◽  
Consumer Perception ◽  
Visual Identity ◽  
Image Building

scholarly journals The Concept Of Branding In Islamic Business Ethics Perspetive

2019 ◽  
Vol 7 (1) ◽  
pp. 55-67
Author(s):  
Lina Herlina ◽  
M. Luthfi Hamidi ◽  
Muhammad Doddy
Keyword(s):  
Literature Review ◽  
Research Method ◽  
Islamic Law ◽  
Brand Image ◽  
Data Sources ◽  
View Point ◽  
Islamic Ethics ◽  
Islamic Business Ethics ◽  
Image Building

The objective of this paper is to find out and illustrate the concept of branding that comply with Islamic law. The research method used in this study is a literature review, with books and journals as the main data sources, while using the view point of the Qur'an, Hadith, Ijtihad of the scholars, and other scientific works that related to the research. This study introduces the concept of branding that comply with sharia law that covers the role of branding in business, i.e.: as a differentiator, as an advertisement and appeal, as an image-building tool and as a market controller. Branding ethics in Islam including positive image, Islamic products, fair prices, Islamic brands and advertisement variables that have been adapted to comply the rules of Islamic muamalah, and various examples of branding practices in Indonesia that is sharia compliant, for example: Rabbani brand, Wardah cosmetics, and Sofyan hotel. In this case, branding practice that comply with Islamic ethics is not just an idealistic theory, but it can realistically be applied on practice and has been proven to yield positive brand image and loyality from their consumers.

Research on visual recognition intelligent system of city brand image based on fuzzy theory and regional culture

2021 ◽  
pp. 1-9
Author(s):  
Lin Han ◽  
Lu Han
Keyword(s):  
Neural Network ◽  
Visual Recognition ◽  
Intelligent System ◽  
Brand Image ◽  
Fuzzy Theory ◽  
Recognition System ◽  
Market Competitiveness ◽  
Visual Identity ◽  
Fuzzy Neural ◽  
Intelligent Recognition

With the rapid development of China’s market economy, brand image is becoming more and more important for an enterprise to enhance its market competitiveness and occupy a favorable market share. However, the brand image of many established companies gradually loses with the development of society and the improvement of people’s aesthetic pursuit. This has forced it to change its corporate brand image and regain the favor of the market. Based on this, this article combines the related knowledge and concepts of fuzzy theory, from the perspective of visual identity design, explores the development of corporate brand image visual identity intelligent system, and aims to design a set of visual identity system that is different from competitors in order to shape the enterprise. Distinctive brand image and improve its market competitiveness. This article first collected a large amount of information through the literature investigation method, and made a systematic and comprehensive introduction to fuzzy theory, visual recognition technology and related theoretical concepts of brand image, which laid a sufficient theoretical foundation for the later discussion of the application of fuzzy theory in the design of brand image visual recognition intelligent system; then the fuzzy theory algorithm is described in detail, a fuzzy neural network is proposed and applied to the design of the brand image visual recognition intelligent system, and the design experiment of the intelligent recognition system is carried out; finally, through the use of the specific case of KFC brand logo, the designed intelligent recognition system was tested, and it was found that the visual recognition intelligent system had an overall accuracy rate of 96.08% for the KFC brand logo. Among them, the accuracy rate of color recognition was the highest, 96.62%; comparing the changes in the output value of the training sample and the test sample, the output convergence effect of the color network is the best; through the comparison test of the BP neural network, the recognition effect of the fuzzy neural network is better.

Sign in / Sign up

Export Citation Format

Share Document