K
Kam-hon Lee
Researcher at The Chinese University of Hong Kong
Publications - 21
Citations - 727
Kam-hon Lee is an academic researcher from The Chinese University of Hong Kong. The author has contributed to research in topics: Tourism & China. The author has an hindex of 11, co-authored 21 publications receiving 680 citations.
Papers
More filters
Journal ArticleDOI
Decisions to donate bone marrow: The role of attitudes and subjective norms across cultures
TL;DR: In this paper, a field investigation of the determinants of decisions to donate bone marrow was conducted and predictions were made on the basis of a modification of the theory of reasoned action wherein attitudes are operationalized in separate affective and evaluative components.
Journal ArticleDOI
Tension and trust in international business negotiations: American executives negotiating with Chinese executives
TL;DR: In this article, the antecedents and consequences of tension felt during international business negotiations were analyzed using a structural equations approach and then a more exploratory content analysis, finding that the tension felt decreased the likelihood of an agreement, did not affect interpersonal attraction, but did have a direct negative effect on trust.
Journal ArticleDOI
Text mining for the hotel industry
Kin-Nam Lau,Kam-hon Lee,Ying Ho +2 more
TL;DR: With the availability of huge volumes of text-based information freely available on the Internet, text mining can be used by hoteliers to develop competitive and strategic intelligence.
Journal ArticleDOI
Organizational Design and Management Norms: A Comparative Study of Managers' Perceptions in the People's Republic of China, Hong Kong, and Canada
TL;DR: In this paper, the authors survey 155 executives from the People's Republic of China (PRC), Hong Kong, and Canada to investigate whether norms for organizational design and management are subject to a process of globalization.
Journal ArticleDOI
Web-site marketing for the travel-and-tourism industry
TL;DR: In this article, the authors proposed that marketers may learn much about their targets from examining personal web sites by means of automated web crawling tools usually called bots. But they did not specify how to use bots to identify the targets.