FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4306749292> ?p ?o ?g. }

• W4306749292 abstract "During the normalization stage of the COVID-19 epidemic prevention and control, the safety threats caused by improper epidemic prevention measures of airlines have become the primary concern for air passengers. Negative e-WOM related to safety perception obtained based on online multimodal reviews of travel websites has become an important decision-making basis for potential air passengers when making airline choices. This study aims to examine the relationship between potential air passengers’ negative safety perception and the usefulness of online reviews, as well as to test the moderating effect of review modality and airline type. It also further explores the effectiveness and feasibility of applying big data sentiment analysis to e-WOM management. To this end, the theoretical model of negative safety perception, review modality, and airline type affecting review usefulness was constructed. Then we select 10 low-cost airlines and 10 full-service airlines, respectively, according to the number of reviews sorted by the TripAdvisor website, and use crawling techniques to obtain 10,485 reviews related to COVID-19 safety of the above companies from December 2019 to date, and conduct safety perception sentiment analysis based on Python’s Textblob library. Finally, to avoid data overdispersion, the model is empirically analyzed by negative binomial regression using R software. The results indicate that (1) Negative safety perception significantly and negatively affects review usefulness, that is, extreme negative safety perception can provide higher review usefulness for potential air passengers. (2) Review modality and airline type have a significant moderating effect on the relationship between negative safety perception and review usefulness, in which multimodal reviews and full-service airlines both weakened the negative impact of negative safety perception on review usefulness. The theoretical model in this paper is both an extension of the application of big data sentiment analysis techniques and a beneficial supplement to current research findings of e-WOM, providing an important reference for potential air passengers to identify useful reviews accurately and thus reduce safety risks in online decision-making." @default.
• W4306749292 created "2022-10-19" @default.
• W4306749292 creator A5008688627 @default.
• W4306749292 creator A5020396273 @default.
• W4306749292 creator A5036823532 @default.
• W4306749292 creator A5048976159 @default.
• W4306749292 creator A5057456831 @default.
• W4306749292 creator A5064408724 @default.
• W4306749292 creator A5065501741 @default.
• W4306749292 date "2022-10-18" @default.
• W4306749292 modified "2023-10-18" @default.
• W4306749292 title "Is negative e-WOM more powerful? Multimodal data analysis on air passengers’ perception of COVID-19 safety measures" @default.
• W4306749292 cites W1130813113 @default.
• W4306749292 cites W1250938507 @default.
• W4306749292 cites W1412536301 @default.
• W4306749292 cites W1665781610 @default.
• W4306749292 cites W1698213341 @default.
• W4306749292 cites W1965990952 @default.
• W4306749292 cites W1966503997 @default.
• W4306749292 cites W1967278718 @default.
• W4306749292 cites W1973323049 @default.
• W4306749292 cites W1987929968 @default.
• W4306749292 cites W1988539772 @default.
• W4306749292 cites W1991622328 @default.
• W4306749292 cites W2010599172 @default.
• W4306749292 cites W2013835160 @default.
• W4306749292 cites W2022518407 @default.
• W4306749292 cites W2023713249 @default.
• W4306749292 cites W2030387474 @default.
• W4306749292 cites W2044905471 @default.
• W4306749292 cites W2047390227 @default.
• W4306749292 cites W2050623295 @default.
• W4306749292 cites W2051473243 @default.
• W4306749292 cites W2055855211 @default.
• W4306749292 cites W2058611290 @default.
• W4306749292 cites W2059927669 @default.
• W4306749292 cites W2065360753 @default.
• W4306749292 cites W2074562045 @default.
• W4306749292 cites W2085756167 @default.
• W4306749292 cites W2087929881 @default.
• W4306749292 cites W2097409951 @default.
• W4306749292 cites W2106122616 @default.
• W4306749292 cites W2119233164 @default.
• W4306749292 cites W2125105112 @default.
• W4306749292 cites W2126632608 @default.
• W4306749292 cites W2131821896 @default.
• W4306749292 cites W2151739142 @default.
• W4306749292 cites W2201929092 @default.
• W4306749292 cites W2275869402 @default.
• W4306749292 cites W2290061195 @default.
• W4306749292 cites W2293356236 @default.
• W4306749292 cites W2368278370 @default.
• W4306749292 cites W2503241677 @default.
• W4306749292 cites W2509632655 @default.
• W4306749292 cites W2519309554 @default.
• W4306749292 cites W2519569791 @default.
• W4306749292 cites W2523372191 @default.
• W4306749292 cites W2539161094 @default.
• W4306749292 cites W2584561145 @default.
• W4306749292 cites W2585707601 @default.
• W4306749292 cites W2588655148 @default.
• W4306749292 cites W2714508454 @default.
• W4306749292 cites W2765792598 @default.
• W4306749292 cites W2770757371 @default.
• W4306749292 cites W2771016175 @default.
• W4306749292 cites W2784280741 @default.
• W4306749292 cites W2801234705 @default.
• W4306749292 cites W2806585740 @default.
• W4306749292 cites W2885185956 @default.
• W4306749292 cites W2886080831 @default.
• W4306749292 cites W2912658340 @default.
• W4306749292 cites W2913967278 @default.
• W4306749292 cites W2915002633 @default.
• W4306749292 cites W2939399411 @default.
• W4306749292 cites W2953975365 @default.
• W4306749292 cites W2954170084 @default.
• W4306749292 cites W2969078176 @default.
• W4306749292 cites W2974235915 @default.
• W4306749292 cites W2991173197 @default.
• W4306749292 cites W3000559375 @default.
• W4306749292 cites W3009885589 @default.
• W4306749292 cites W3031037273 @default.
• W4306749292 cites W3034948298 @default.
• W4306749292 cites W3080610329 @default.
• W4306749292 cites W3088896834 @default.
• W4306749292 cites W3094820132 @default.
• W4306749292 cites W3098771678 @default.
• W4306749292 cites W3101624825 @default.
• W4306749292 cites W3120957128 @default.
• W4306749292 cites W3122395526 @default.
• W4306749292 cites W3122620151 @default.
• W4306749292 cites W3141714916 @default.
• W4306749292 cites W3157841754 @default.
• W4306749292 cites W3158533974 @default.
• W4306749292 cites W3159266727 @default.
• W4306749292 cites W3170018373 @default.
• W4306749292 cites W3170053977 @default.
• W4306749292 cites W3170588571 @default.
• W4306749292 cites W3172456238 @default.
• W4306749292 cites W3175755049 @default.

• next