Personality Differences and Hotel Web Design Study Using Targeted Positive and Negative Association Rule Mining

Leung, Rosanna; Rong, Jia; Li, Gang; Law, Rob

doi:10.1080/19368623.2013.723995

Cited by 17 publications

(9 citation statements)

References 69 publications

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“…The circumlocution identifies the enormous volume of both unstructured and structured data generated by technology developments and the exponentially increasing adoption of devices allowing for automation and connection to the Internet. The use of networked devices, such as tablets and smartphones, has brought an explosion of data (Verhoef, et al, 2016), often in connection with user-generated content stemming from online social networks (Leung et al, 2013). Given their volume and characteristics, BD are difficult to process by deploying traditional statistical methods and software techniques (Chen et al, 2014).…”

Section: Introductionmentioning

confidence: 99%

Business intelligence and big data in hospitality and tourism: a systematic literature review

Mariani

Baggio

Fuchs

et al. 2018

IJCHM

310

231

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Purpose-This study examines the extent to which Business Intelligence and Big Data feature within academic research in hospitality and tourism published until 2016, by identifying research gaps and future developments and designing an agenda for future research. Design/methodology/approach-The study consists of a systematic quantitative literature review of academic articles indexed on the Scopus and Web of Science databases. The articles were reviewed based on the following features: research topic; conceptual and theoretical characterization; sources of data; type of data and size; data collection methods; data analysis techniques; data reporting and visualization. Findings-Findings indicate an increase in hospitality and tourism management literature applying analytical techniques to large quantities of data. However, this research field is fairly fragmented in scope and limited in methodologies and displays several gaps. A conceptual framework that helps to identify critical business problems and links the domains of Business Intelligence and Big Data to tourism and hospitality management and development is missing. Moreover, epistemological dilemmas and consequences for theory development of big datadriven knowledge are still a terra incognita. Last, despite calls for more integration of management and data science, cross-disciplinary collaborations with computer and data scientists are rather episodic and related to specific types of work and research. Research limitations/implications-This work is based on academic articles published before 2017; hence, scientific outputs published after the moment of writing have not been included. A rich research agenda is designed. Originality/value-This study contributes to explore in depth and systematically to what extent hospitality and tourism scholars are aware of and working intendedly on Business Intelligence and Big Data. To the best of our knowledge, it is the first systematic literature review within hospitality and tourism research dealing with Business Intelligence and Big Data.

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Section: Introductionmentioning

confidence: 99%

Business intelligence and big data in hospitality and tourism: a systematic literature review

Mariani

Baggio

Fuchs

et al. 2018

IJCHM

310

231

View full text Add to dashboard Cite

show abstract

“…Customer Personality in Waiting Customer personality traits have been explored as a key factor affecting customers' response to provided service (Bodey & Grace, 2006 Kim & Boo, 2011;Leung, Rong, Li, & Law, 2013). It is also well documented that customer experiences and satisfaction ratings vary depending on customer personality traits (Bryant & Cha, 1996;H.…”

Section: Ways To Distract Customers During Waitsmentioning

confidence: 99%

The Effects of Offering Menu Information on Perceived Waiting Time

Bae

Kim

2014

Journal of Hospitality Marketing & Management

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This study employs an experimental design in a real restaurant setting to measure the effect of offering menu information on perceived waiting time. Specifically, the purpose of this study is to examine the effects of menu information as a method of distracting customers and reducing perceived waiting time. The test was conducted for 3 weeks under three manipulated conditions (i.e., music, no distraction, and offering menu information). The results of this study show that there are significant mean differences in three conditions in terms of the gap score between perceived and actual waiting time. The research findings are expected to provide restaurant managers with meaningful operational marketing strategies.

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“…Meanwhile, various studies have developed and appraised the different attributes within the two dimensions. Reservation information, website management and surrounding area information are categorized under functionality [14], whilst website layout, information structure, and user interface fall under usability [15]. The use of language, which has been discussed in some studies as an attribute under usability, has yet to be evaluated [6,16].…”

Section: Website Evaluationmentioning

confidence: 99%

Examination of Website Language Strategies Adopted by Five-Star Hotels in China: A Corpus Approach

Qian

Law

2021

JTAER

Self Cite

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Hotel websites are vital information channels for potential customers. Hence, their readability and attractiveness play a key role in online marketing for hotels. This study attempts to investigate how hotels use language strategies to better market themselves online. This study first proposes an analytical framework on the basis of appraisal theory, which aims to reveal the hidden mechanism by hotels in building interpersonal relationships, and uses such a framework to explore online language strategies used by five-star hotels in China. The general language strategy and the corresponding preference in the use of such a strategy amongst hotels are identified. Theoretical contributions and managerial implications are generated on the basis of the findings and analysis. It is among the early studies to modify appraisal theory to analyze tourism and hospitality text data and to adopt the corpus approach to explore the hidden mechanism of language use.

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Personality Differences and Hotel Web Design Study Using Targeted Positive and Negative Association Rule Mining

Cited by 17 publications

References 69 publications

Business intelligence and big data in hospitality and tourism: a systematic literature review

Business intelligence and big data in hospitality and tourism: a systematic literature review

The Effects of Offering Menu Information on Perceived Waiting Time

Examination of Website Language Strategies Adopted by Five-Star Hotels in China: A Corpus Approach

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