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Wyświetlanie 1-2 z 2
Tytuł:
.#isoverparty. The Consequences of Brand Boycotts for Brands in the Social Media Environment After Russia’s Invasion in Ukraine
Autorzy:
Sanak-Kosmowska, Katarzyna
Powiązania:
https://bibliotekanauki.pl/articles/32306765.pdf
Data publikacji:
2023-01-16
Wydawca:
Uniwersytet Warszawski. Wydawnictwo Naukowe Wydziału Zarządzania
Tematy:
consumer boycotts
brand cancellation
social media
brand reputation
Opis:
This study investigated social-media-based anti-brand communication. Guided by consumer boycotts and brand cancellation theory, the author conducted a qualitative study based on content analysis of tweets about 59 international brands that remained in Russia after the invasion in February 2022. The research was conducted on Twitter between August 10 and 17, 2022. The study aimed to determine whether brands that have decided to stay in Russia are still exposed to negative WoM, calls for a boycott or brand cancellation after 6 months since the war began. The obtained results made it possible to identify the number of tweets and their content and sentiment. They also showed the dynamics of negative WoM publications on social media and their character. The practical implications are the following: brands exposed to consumer boycotts, depending on their business goals, may decide to adopt a "wait-out" strategy.
Źródło:
Journal of Marketing and Consumer Behaviour in Emerging Markets; 2023, 1(16); 22-38
2449-6634
Pojawia się w:
Journal of Marketing and Consumer Behaviour in Emerging Markets
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Exploring the Impact of Negative Words Used in Online Feedback in Hotel Industry: A Sentiment Analysis, N-gram, and Text Network Analysis Approach
Autorzy:
Dan, Daniel
Powiązania:
https://bibliotekanauki.pl/articles/32307710.pdf
Data publikacji:
2023-03-22
Wydawca:
Uniwersytet Warszawski. Wydawnictwo Naukowe Wydziału Zarządzania
Tematy:
sentiment analysis
tourism
hotels
marketing
customer’s opinions
Opis:
This study examines the words and situations that trigger and those that do not trigger a hotel response when customers post negative online feedback. The research explores, through sentiment analysis, bigrams, trigrams, and word networking, the valence of online reviews of five important hotels in Las Vegas. Only the feedback that has been categorized as negative by the algorithm is selected. In correspondence to this feedback, the existence of answers from the hotels is checked together with the response style. While the negative valence of the feedback can represent a mixture of subjective and objective emotions, there are common features present in their expression. On the responses side from the hotel, not all the reviews receive attention. As such, the negative feedback words are extracted and separated into those that belong to reviews that obtain a response and those that do not. The replies are standardised by following an established pattern. This paper aims to contribute to a prominent issue in tourism that is little tackled: responses to feedback. The findings may help the hotels’ management explore different paths to improve their services and responses alike. Behavioural marketing researchers might want to use these results to confirm the existence of such patterns in different datasets or situations.
Źródło:
Journal of Marketing and Consumer Behaviour in Emerging Markets; 2023, 1(16); 39-50
2449-6634
Pojawia się w:
Journal of Marketing and Consumer Behaviour in Emerging Markets
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-2 z 2

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