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Wyszukujesz frazę "negative customer" wg kryterium: Wszystkie pola


Wyświetlanie 1-2 z 2
Tytuł:
Asymptotic analysis of a closed G-network of unreliable nodes
Autorzy:
Rusilko, Tatiana
Powiązania:
https://bibliotekanauki.pl/articles/2175521.pdf
Data publikacji:
2022
Wydawca:
Politechnika Częstochowska. Wydawnictwo Politechniki Częstochowskiej
Tematy:
G-network
unreliable queueing systems
positive customer
negative customer
birth-death process
asymptotic analysis
queueing network
sieć G
proces narodzin i śmierci
analiza asymptotyczna
sieci kolejkowe
Opis:
A closed exponential queueing G-network of unreliable multi-server nodes was studied under the asymptotic assumption of a large number of customers. The process of changing the number of functional servers in network nodes was considered as the birth-death process. The process of changing the number of customers at the nodes was considered as a continuous-state Markov process. It was proved that its probability density function satisfies the Fokker-Planck-Kolmogorov equation. The system of differential equations for the first-order and second-order moments of this process was derived. This allows us to predict the expectation, the variance and the pairwise correlation of the number of customers in the G-network nodes both in the transient and steady state.
Źródło:
Journal of Applied Mathematics and Computational Mechanics; 2022, 21, 2; 91--102
2299-9965
Pojawia się w:
Journal of Applied Mathematics and Computational Mechanics
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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