Understanding message (de)coding in multi-lingual slogans: industrial perspectives from Turkey and Russia

PurposeThe main goal of the study is to investigate how same-brand slogans simultaneously in use in two emerging markets, namely Turkey and Russia, differ semantically. The study further examines in what ways the industrial competition structure impacts the semantic slogan design within these two contexts.Design/methodology/approachThe study uses the method of semantic explication that is based on a 19-device taxonomy. This method is applied to 56 slogan pairs in the Turkish and Russian languages launched for the same brands/products across 6 industries.FindingsResults indicate that same-brand slogans differ semantically between Turkey and Russia. Moreover, firms tend to conform to a shared semantic pattern within a given industry, largely depending on the industrial competition structure. While strong local competition (as in the electronics and cleaning products industries in Turkey and in the personal care and beverages industries in Russia) leads firms to use self-reference, international competition (as in the automotive, personal care and beverages industries in Turkey and in the electronics and cleaning products industries in Russia) promotes them to use hyperbole in their slogan design.Practical implicationsAdopting a common semantic pattern within an industry may carry the risk of restricting brand differentiation and consumers' sense of novelty. Furthermore, the inclusion of brand names in slogans may make slogans sound assertive and lead consumers to overreact to the brand.Originality/valueUnlike many studies exploring different-brand slogans through a syntactic or grammatical lens, this study investigates the semantic features of same-brand slogans launched in two emerging market contexts. It adopts a B2B perspective, unlike many extant studies that often focus on a B2C one.

• Publication year

  2021

• Venue

  International Journal of Emerging Markets

• Publication date

  2021-08-31

• Fields of study

  Linguistics, Business, Computer Science

• Identifiers
  DOI 10.1108/ijoem-05-2020-0489
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

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