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Smiley guests post long reviews!
Affiliation:1. School of Management, Harbin Institute of Technology, 92 West Dazhi Street, Harbin, China;2. Howard Feiertag Department of Hospitality and Tourism Management, Pamplin College of Business, Virginia Tech, Blacksburg, VA 24061, USA;1. Department of Tourism, Hospitality and Event Management, University of Florida, FLG 186B, P.O. Box 118208, Gainesville, FL 32611, USA;2. School of Hospitality and Tourism Management, University of Surrey, 33AP02, Guildford GU2 7XH, UK;3. Department of Hospitality and Tourism Management, University of Massachusetts, Amherst, MA, USA;1. Department of Marketing, Events and Tourism, University of Greenwich, London SE10 9LS, United Kingdom;2. School of Hospitality and Tourism, Auckland University of Technology, WH Building, 49 Wellesley Street East, Auckland 1010, New Zealand;1. School of Management Studies, Cochin University of Science and Technology, Kochi, Kerala, India;2. Indian Institute of Management Kozhikode, IIMK Campus P.O., Kozhikode, Kerala, India 673 570;3. University of Puerto Rico Graduate School of Business, San Juan, PR, USA;4. Distinguished Scholar, Indian Institute of Management (IIM-K), Kerala, India;1. TU Dortmund University, Center of Higher Education, Hohe Str. 141, 44139 Dortmund, Germany;2. TU Dortmund University, Faculty of Social Science, Emil-Figge-Str. 50, 44227 Dortmund, Germany;1. School of Management, Xi’an Jiaotong University, No. 28, Xianning West Road, Xi’an 710049, Shanxi, China;2. Business School of Hubei University, Wuhan 430062, China;3. School of Management, Huazhong University of Science and Technology, Wuhan 430074, China;4. Business School, Henan University, Kaifeng, China;5. Hubei Center for Studies of Human Capital Development Strategy and Policy, Wuhan 430062, China;6. Key Research Base of Humanities and Social Science of Hubei Province, Wuhan 430062, China;1. School of Hotel and Tourism Management, The Hong Kong Polytechnic University, Hong Kong SAR, China;2. Kemmons Wilson School of Hospitality & Resort Management, The University of Memphis, Memphis, TN 38152, United States;3. School of Hospitality & Tourism Management, University of Surrey, Guildford, Surrey, GU2 7XH, UK;4. School of Hotel, Restaurant and Tourism Management, University of South Carolina, Columbia, SC 29208, United States;5. School of Management, Harbin Institute of Technology, 92 West Dazhi Street, Harbin, 150001, China
Abstract:The inclusion of a photo in users’ profile provides information about them and shows a higher sense of self-expression and potential engagement. On peer-to-peer rental platforms, profile images may be useful for hosts and guests to infer individual characteristics and expectations. We try to fill a gap in the literature by inferring guests’ posting behavior through their profile image. Using Airbnb data and deep learning techniques, our empirical analysis reveals that guests who upload profile images—especially profile images displaying happy emotions—are more involved in posting long reviews. As theoretical implications, these results add knowledge to the application of the Five Factor Model of Personality, deep learning, image recognition, and emotion recognition in hospitality. As managerial implications, the prediction of posting behavior through the mining of visual information can be a relevant tool in the age of big data.
Keywords:Airbnb  Reviews  Profile image  Deep learning  Personality
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