Brand image innovation design based on the era of 5G internet of things
Abstract: The development of the times is driving the competition in the market. In the current trend of the brand era, if a brand cannot fully display its own personality, it is difficult to be competitive. With the development of Internet of things (IoT) technology, different enterprise values produce different types of products and affect all aspects of social economy and daily life. This article mainly studies the innovative design of brand image based on 5G IoT era. This article takes the consumer group as the positioning object, is committed to shaping the core value of the brand, and applies the emotional personality psychology of consumers to the rational brand planning. Creating a perfect brand image and an accurate brand development track is an effective guarantee to promote and enhance brand development. The standard font of the logo combination is the combination of Chinese and English. The advantage of the combination of Chinese and English lies in the combination of nationality and cosmopolitanism. It is not only a new cultural phenomenon but also has strong operability, which meets the requirements of logo design internationalization. The explanatory capacity of the model increases with the entry of product image, corporate image, and self-consistency. The combined explanatory capacity of the three variables reaches 42.2%. The significance probability of the F test is p = 0.000, which is significantly less than 0.01, indicating that the regression of the model is significant. Except for “imaginative,” girls’ scores on the other seven brand personality dimensions are equal to or higher than boys’. The results show that the innovative design of brand image has far-reaching significance for the long-term development of the brand.
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
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Online-Ressource
- Sprache
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Englisch
- Erschienen in
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Brand image innovation design based on the era of 5G internet of things ; volume:31 ; number:1 ; year:2022 ; pages:1262-1273 ; extent:12
Journal of intelligent systems ; 31, Heft 1 (2022), 1262-1273 (gesamt 12)
- Urheber
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Wu, Dan
- DOI
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10.1515/jisys-2022-0135
- URN
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urn:nbn:de:101:1-2023011213030310036466
- Rechteinformation
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
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15.08.2025, 07:29 MESZ
Datenpartner
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- Wu, Dan
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