Personalisation–privacy paradox: The effects of personalisation and privacy assurance on customer responses to travel Web sites

Personalisation refers to individualizing products, services, and contents according to customer interests and preferences. In order to deliver appropriate personalised offerings, firms inevitably need to collect rich customer data profiles. Prior research suggests that personalised services lead to positive customer responses such as increased willingness to disclose personal information and make purchases. However, another stream of research emphasizes negative outcomes of personalisation – namely, privacy concerns surrounding the use of personal information and associated negative effects on behaviour. The objectives of this study are twofold: (1) to examine how privacy assurance affects proximal outcomes of personalisation, such as perceived usefulness and privacy concerns; and (2) to identify the role such outcomes play in predicting customer behavioural responses, such as willingness to disclose personal information and make purchases. Our findings show that enhancing privacy assurance increases the perceived usefulness of services and decreases customer privacy concerns. Moreover, customer behavioural responses are positively related to the perceived usefulness of services and negatively associated with privacy concerns. However, despite the positive effects on perceived usefulness and purchase intentions, personalisation has no effect on privacy concerns and intentions to disclose personal information.     

Effects of different dimensions of corporate social responsibility on corporate financial performance in tourism-related industries

Although the stakeholder framework proposes the multidimensionality of corporate social responsibility (CSR) (Clarkson, 1995), previous research has yet to investigate the relationship between certain dimensions of CSR and corporate financial performance (CFP) in tourism-related industries. The purpose of this study was to disaggregate CSR into five dimensions based on corporate voluntary activities for five primary stakeholder issues: (1) employee relations, (2) product quality, (3) community relations, (4) environmental issues, and (5) diversity issues, and examine how each dimension would affect financial performance among firms within four tourism-related industries (airline, casino, hotel, and restaurant). While all CSR dimensions were proposed to have positive financial effects, results revealed that each dimension had a differential effect on both short-term and future profitability and that such financial impacts varied across the four industries. The findings can provide tourism managers with insights into which dimensions of CSR activities would improve their companies’ financial performance.     

Consumers’ responses to ambivalent online hotel reviews: The role of perceived source credibility and pre-decisional disposition

Electronic word-of-mouth (eWOM) is prevalent in today's lodging market and has potential to influence consumers’ decision making. This study investigated how the presence of online reviewers’ personal identifying information (PII) may affect consumers’ processing of ambivalent online hotel reviews and hotel booking intentions. The results of an experiment with a sample of 274 undergraduate students indicate that the presence of PII positively affects the perceived credibility of the online reviews. When coupled with ambivalent online reviews, the presence of PII significantly lowers consumers’ hotel booking intentions.     

Identifying changes and trends in Hong Kong outbound tourism

Despite the numerous research endeavors aimed at investigating tourists’ preferences and motivations, it remains very difficult for practitioners to utilize the results of traditional association rule mining methods in tourism management. This research presents a new approach that extends the capability of the association rules technique to contrast targeted association rules with the aim of capturing the changes and trends in outbound tourism. Using datasets collected from five large-scale domestic tourism surveys of Hong Kong residents on outbound pleasure travel, both positive and negative contrasts are identified, thus enabling practitioners and policymakers to make appropriate decisions and develop more appropriate tourism products.     

Moderating effect of capital intensity on the relationship between leverage and financial distress in the U.S. restaurant industry

During the recent and ongoing economic turmoil, countless businesses have been facing financial distress and many have filed for bankruptcy. This issue is especially critical for the restaurant industry due to restaurants’ sensitivity to economic fluctuations. Therefore, the purpose of this study is to examine the financial distress issue in the U.S. restaurant industry. In particular, the study examines a moderating effect of capital intensity on the relationship between a firm's leverage and degree of financial distress. The dataset includes publicly traded U.S. restaurant firms during the period 1990–2008. The study measures the degree of financial distress by modified Z-scores, and findings suggest a positive moderating effect of capital intensity on the relationship between leverage and financial distress.     

A Segmentation of Volunteers at the 2013 Austin City Limits Music Festival: Insights and Future Directions

Volunteers at music festivals play a critical role in festival operation and success. As the music festival industry continues to grow, the ability for these large productions to effectively execute a large volunteer program is augmented. Volunteers from the 2013 Austin City Limits Music Festival were surveyed in regards to their self-image congruency, motivation, satisfaction, and intent to return as a volunteer at the festival. Analysis resulted in three distinct segments which has significant practical implications for festival management. Academic implications exist with the addition of self-image congruency and further discovery of volunteers in the festival and event industry.     

Do rice prices follow a random walk? Evidence from Markov switching unit root tests for Asian markets

This study revisits the issue of mean reversion in the import rice prices of six Asian countries over the period between 1995 and 2015. Augmented Dickey Fuller tests with a conventional linear regression model support the presence of a unit root in the levels of the price data. However, when regressions allow for Markov switching in coefficients and variances to capture periodic shifts in levels and volatilities, there is strong evidence against the unit‐root null hypothesis in favor of stationarity over much of the observation period.     

ECONOMIC EFFECTIVENESS OF BRAND ADVERTISING PROGRAMMES FOR U.S. ORANGE JUICE IN THE EUROPEAN MARKET: AN ERROR COMPONENT ANALYSIS

An econometric model is used to measure the impact of the Three-Party Programme on European demand for U.S. orange juice. The results show that the programme has helped expand the demand for orange juice in European countries and, from the viewpoint of the U.S. citrus industry, is an economically preferred way of generating additional exports compared with using price reductions to achieve additional sales.     

AN EVALUATION OF ALTERNATIVE APPROACHES TO MARKET SHARE ANALYSIS WITH APPLICATION TO THE KUWAITI POULTRY MARKET

Changes in exporter market shares in the Kuwaiti poultry import market over the period 1971–81 are analysed by three modelling procedures. Two traditional approaches, a first-order constant transition probability Markov model and a set of market share equations, are found to be of only limited use. As an alternative, a multinominal logit model of market share behaviour is estimated. The empirical results indicate that, in addition to relative price changes, domestic policy inducements for Brazilian and European Community exports are important in determining market share changes. A comparison of the explanatory abilities of the models suggests that the multinominal logit model is as least as good as traditional modelling alternatives with respect to econometric criteria. It is concluded that the multinominal logit model offers considerable promise as a tool for market share research.