Vincent Cho

Dr. Vincent Cho

Department of Management & Marketing, the Hong Kong Polytechnic University, Hong Kong, China

Research Focus & Metrics

Academic Career Length

26Years (2001-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 September 2009 in Computers & Education
Verified
Journal Article
Closed access
Vincent ChoVincent Cho
Vincent Cho
T.C. Edwin ChengT.C. Edwin Cheng
T.C. Edwin Cheng
JLJennifer Lai
Jennifer Lai

1 June 2003 in Tourism Management
Verified
Journal Article
Closed access
Vincent ChoVincent Cho
Vincent Cho

1 March 2007 in International Journal of Hospitality Management
Verified
Journal Article
Closed access
TLTerry Lam
Terry Lam
Vincent ChoVincent Cho
Vincent Cho
HQHailin Qu
Hailin Qu

1 November 2001 in Journal of Hospitality & Tourism Research
Verified
Journal Article
Closed access
Vincent ChoVincent Cho
Vincent Cho
This article investigates the application of three time-series forecasting techniques, namely, exponential smoothing, univariate Autoregressive Integrated Moving Average (ARIMA), and adjusted ARIMA to predict travel demand (i.e., the number of arrivals) from different countries to Hong Kong. The third approach, adjusted ARIMA, is an enhancement of univariate ARIMA. This uses influential economic indicators that are highly correlated with travel demand to adjust univariate ARIMA. According to the analysis, adjusted ARIMA with economic indicators seems to be the best forecasting method for Japan, whereas univariate ARIMA is the best predictor for the United States and United Kingdom. Univariate ARIMA and adjusted ARIMA behave similarly for countries like Taiwan, Singapore, and Korea. Among the three forecasting methods, exponential smoothing is the least accurate. This shows that univariate ARIMA and adjusted ARIMA are more suitable and can be applied to forecast the fluctuating series of visitor arrivals.


24 February 2012 in Information Technology & People
Verified
Journal Article
Closed access
Vincent ChoVincent Cho
Vincent Cho
XHXu Huang
Xu Huang
Purpose: Given the increasing influence and importance of professionals in modern society, this study aims to investigate the influence of organizational commitment and professional commitment on professionals' intention to leave their organizations for professional advancement (ILPA).Design/methodology/approach: A total of 500 members of a large Hong Kong association of computer specialists were drawn randomly from the membership list. E‐mails were sent directly to those 500 members through a web‐based survey, which is an effective way to collect confidential information and potentially reduced the resistance due to the survey sensitivity. After two follow‐ups via e‐mail, a total of 265 responses were collected with a response rate of 53 percent.Findings: The study found that organizational affective commitment (OAC) would be more effective for reducing ILPA. For the interactions between different commitment components, there is a substitution effect of professional affective commitment (PAC) and professional continuance component (PCC) toward their impacts on ILPA.Research limitations/implications: The findings would be explained by the self‐justification process due to cognitive dissonance on the professional's continuance commitment and his/her affective commitment in an organization. Moreover, there would be a complementary relationship between organizational and professional commitment.Originality/value: This study would answer the question on how to effectively avoid a professional leaving an organization.