The research paper's aim is to analyze how CSR communication is diversely executed in four big companies in food industry in two countries: Italy and Vietnam, which represents developed and developing countries. The study also reveals some background knowledge about CSR definitions and models through its evolution history around the world. Eventually, the author points out if there are any reasoning for the differences. From the public figure and linguistic study of CSR reports and CSR communication on the corporate website, it was shown that the Italian companies tends to mention more about the society and human-related issues, meanwhile, the Vietnamese companies prefer the topic of product development and people health. The reason lies in cultural, historical and economic development characteristics of the countries. The study uses both quantitative and qualitative approaches, which include linguistic analysis, as well as a statistic-based method to identify the frequency of key word data used.

Corporate Social Responsibility communication - A comparative analysis

2020

Abstract

The research paper's aim is to analyze how CSR communication is diversely executed in four big companies in food industry in two countries: Italy and Vietnam, which represents developed and developing countries. The study also reveals some background knowledge about CSR definitions and models through its evolution history around the world. Eventually, the author points out if there are any reasoning for the differences. From the public figure and linguistic study of CSR reports and CSR communication on the corporate website, it was shown that the Italian companies tends to mention more about the society and human-related issues, meanwhile, the Vietnamese companies prefer the topic of product development and people health. The reason lies in cultural, historical and economic development characteristics of the countries. The study uses both quantitative and qualitative approaches, which include linguistic analysis, as well as a statistic-based method to identify the frequency of key word data used.
2020
it
Dipartimento di Economia
Università degli Studi di Modena e Reggio Emilia
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14242/305300
Il codice NBN di questa tesi è URN:NBN:IT:UNIMORE-305300