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- W4207035341 endingPage "e850" @default.
- W4207035341 startingPage "e850" @default.
- W4207035341 abstract "The coronavirus disease 2019 (COVID-19) causes tremendous damages to the world, including threats to human's health and daily activities. Most industries have been affected by this pandemic, particularly the tourism industry. The online travel agencies (OTAs) have suffered from the global tourism market crisis by air travel lockdown in many countries. How online travel agencies can survive at stake and prepare for the post-COVID-19 future has emerged as an urgent issue. This study aims to examine the critical factors of customers' satisfaction to OTAs during the COVID-19 pandemic. A text mining method for feature selection, namely LASSO, was used to deal with online customer reviews and to extract factors that shape customers' satisfaction to OTAs. Results showed that refunds, promptness, easiness and assurance were ranked as the most competitive factors of customers' satisfaction, followed by bad reviews & cheap and excellent service & comparison. New factors to customers' satisfaction were revealed during the global tourism recession. Findings provide OTAs guidelines to reset services priorities during the pandemic crisis." @default.
- W4207035341 created "2022-01-26" @default.
- W4207035341 creator A5017862706 @default.
- W4207035341 creator A5041807788 @default.
- W4207035341 date "2022-01-25" @default.
- W4207035341 modified "2023-09-30" @default.
- W4207035341 title "Determining the factors affecting customer satisfaction using an extraction-based feature selection approach" @default.
- W4207035341 cites W1523646822 @default.
- W4207035341 cites W1960210438 @default.
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- W4207035341 cites W1997466440 @default.
- W4207035341 cites W2029337151 @default.
- W4207035341 cites W2039661695 @default.
- W4207035341 cites W2044905471 @default.
- W4207035341 cites W2055497091 @default.
- W4207035341 cites W2073123352 @default.
- W4207035341 cites W2089137303 @default.
- W4207035341 cites W2093895998 @default.
- W4207035341 cites W2097679680 @default.
- W4207035341 cites W2118020653 @default.
- W4207035341 cites W2119479037 @default.
- W4207035341 cites W2135046866 @default.
- W4207035341 cites W2142715697 @default.
- W4207035341 cites W2171464917 @default.
- W4207035341 cites W2261525379 @default.
- W4207035341 cites W2318153098 @default.
- W4207035341 cites W2325650048 @default.
- W4207035341 cites W2395351083 @default.
- W4207035341 cites W2403834745 @default.
- W4207035341 cites W2471707884 @default.
- W4207035341 cites W2481995907 @default.
- W4207035341 cites W2520488855 @default.
- W4207035341 cites W2582691130 @default.
- W4207035341 cites W2602143918 @default.
- W4207035341 cites W2611490046 @default.
- W4207035341 cites W2615407744 @default.
- W4207035341 cites W2782217737 @default.
- W4207035341 cites W2782832321 @default.
- W4207035341 cites W2791315675 @default.
- W4207035341 cites W2792921542 @default.
- W4207035341 cites W2809515074 @default.
- W4207035341 cites W2811422155 @default.
- W4207035341 cites W2885230923 @default.
- W4207035341 cites W2891641345 @default.
- W4207035341 cites W2895816713 @default.
- W4207035341 cites W2900047055 @default.
- W4207035341 cites W2906202975 @default.
- W4207035341 cites W2907312248 @default.
- W4207035341 cites W2910026207 @default.
- W4207035341 cites W2914227546 @default.
- W4207035341 cites W2914937193 @default.
- W4207035341 cites W2924243196 @default.
- W4207035341 cites W2924701793 @default.
- W4207035341 cites W2925187917 @default.
- W4207035341 cites W2932145351 @default.
- W4207035341 cites W2939399411 @default.
- W4207035341 cites W2943806166 @default.
- W4207035341 cites W2948851971 @default.
- W4207035341 cites W2954674443 @default.
- W4207035341 cites W2966539589 @default.
- W4207035341 cites W2979332809 @default.
- W4207035341 cites W2991627427 @default.
- W4207035341 cites W2992383290 @default.
- W4207035341 cites W2995293009 @default.
- W4207035341 cites W2999776581 @default.
- W4207035341 cites W3004595079 @default.
- W4207035341 cites W3004704880 @default.
- W4207035341 cites W3014848210 @default.
- W4207035341 cites W3022803332 @default.
- W4207035341 cites W3035597798 @default.
- W4207035341 cites W3037433141 @default.
- W4207035341 cites W3042680130 @default.
- W4207035341 cites W3047510259 @default.
- W4207035341 cites W3069871694 @default.
- W4207035341 cites W3083065550 @default.
- W4207035341 cites W3088736052 @default.
- W4207035341 cites W3095925056 @default.
- W4207035341 cites W3100041486 @default.
- W4207035341 cites W3111985645 @default.
- W4207035341 cites W3120684843 @default.
- W4207035341 cites W3121875092 @default.
- W4207035341 cites W3135220928 @default.
- W4207035341 cites W3139531926 @default.
- W4207035341 cites W3141714916 @default.
- W4207035341 cites W3151154218 @default.
- W4207035341 cites W3197400353 @default.
- W4207035341 cites W3201887553 @default.
- W4207035341 cites W3204089884 @default.
- W4207035341 cites W4251163770 @default.
- W4207035341 doi "https://doi.org/10.7717/peerj-cs.850" @default.
- W4207035341 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/35174269" @default.
- W4207035341 hasPublicationYear "2022" @default.
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