Hospitality eWOM Analysis
Hospitality eWOM analysis is the systematic study of electronic word-of-mouth, the consumer-generated reviews, ratings, posts and comments that travellers share online about hotels, restaurants, attractions and destinations. Litvin, Goldsmith and Pan (2008) set out the foundational framework, defining eWOM, classifying its channels by communication scope and level of interactivity, and explaining why it matters so much in hospitality and tourism, whose intangible products are difficult to evaluate before consumption and are therefore judged heavily through the experiences of others. The analysis treats this online word-of-mouth as data, measuring its volume, its valence (how positive or negative it is) and the experience dimensions it reveals, and links these to outcomes such as bookings, satisfaction and reputation. Xiang and colleagues (2015) showed how large-scale text analytics of guest-generated reviews can deconstruct the hotel experience and connect it to satisfaction.
स्रोत रिकॉर्ड
विधियों के स्रोत रिकॉर्ड से उद्धरण शब्दशः कॉपी किए गए हैं। इनसे किसी भी दावे-स्तरीय सत्यापन का अनुमान नहीं लगाया गया है।
- Litvin, S. W., Goldsmith, R. E., & Pan, B. (2008). Electronic Word-of-Mouth in Hospitality and Tourism Management. Tourism Management, 29(3), 458-468. · DOI 10.1016/j.tourman.2007.05.011
- Xiang, Z., Schwartz, Z., Gerdes, J. H., & Uysal, M. (2015). What can big data and text analytics tell us about hotel guest experience and satisfaction? International Journal of Hospitality Management, 44, 120-130. · DOI 10.1016/j.ijhm.2014.10.013
क्यूरेटेड दावे
साक्ष्य लेज़र में दावे बने हुए हैं, प्रत्येक का अपना मूल्यांकन है।
जब लेज़र में कोई दावा नहीं होता है तो यह दृश्य दावा मूल्यांकन का आविष्कार नहीं करता है।
संबंधित विधियाँ
विधि ग्राफ़ से उत्पन्न और मशीन-अनुशंसित संबंध के रूप में दिखाए गए हैं — किसी भी साक्ष्य दावे का अनुमान नहीं लगाया गया है।