Chase for lucky numbers and take positive actions Luo, Peng; Xu, Yukuan; Law, Rob
Tourism economics : the business and finance of tourism and recreation,
06/2023, Volume:
29, Issue:
4
Journal Article
Peer reviewed
Number 8 is regarded as a lucky number in Chinese culture and is preferred over other numbers, especially in financial and retail market. To explore the impact of lucky numbers in room prices, we ...collect data from a room-sharing platform (Mayi) in China. The results indicate that a room with the lucky number in its price receives more bookings and higher customer ratings than other rooms without that price feature. Moreover, a host setting price with the lucky number 8 will receive more positive ratings. This study contributes to the existing literature and provides practical insights for room hosts and operators in room-sharing platforms.
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NUK, OILJ, SAZU, UKNU, UL, UM, UPUK
When there are more and more online hotel consumers, it is important for industry players to know why consumers prefer one online booking channel among others. Grounded in the commitment–trust theory ...(KMV) and the Technology Acceptance Model (TAM), this paper seeks to develop and empirically test a comprehensive framework to examine which factors influence consumer intentions to book hotel online. Using SEM to analyse the data collected from a sample of 1431 Internet users, the results indicate that consumers’ intentions to book hotel online are determined by commitment, trust, attitude, and their antecedents. Finally, commitment, trust and attitude have higher influence on intention to book hotel online for low-habit customers. Implications were offered for practitioners based on the results.
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GEOZS, IJS, IMTLJ, KILJ, KISLJ, NUK, OILJ, PNG, SAZU, SBCE, SBJE, UL, UM, UPCLJ, UPUK, ZRSKP
The increasing use of web 2.0 applications has generated numerous online user reviews. Prior studies have revealed the influence of user-generated reviews on the sales of products such as CDs, books, ...and movies. However, the influence of online user-generated reviews in the tourism industry is still largely unknown both to tourism researchers and practitioners. To bridge this knowledge gap in tourism management, we conducted an empirical study to identify the impact of online user-generated reviews on business performance using data extracted from a major online travel agency in China. The empirical findings show that traveler reviews have a significant impact on online sales, with a 10 percent increase in traveler review ratings boosting online bookings by more than five percent. Our results highlight the importance of online user-generated reviews to business performance in tourism.
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GEOZS, IJS, IMTLJ, KILJ, KISLJ, NUK, OILJ, PNG, SAZU, SBCE, SBJE, UL, UM, UPCLJ, UPUK
Virtual reality (VR) is considered an important technological development to impact the tourism industry. Hotels are constantly attempting to overcome the challenges they face in the presentation of ...their facilities in the virtual environment. This research has made one of the first attempts to understand VR’s ability to influence tourism consumers’ attitudes and behavioral intentions during the prepurchase phase and postpurchase phase of their purchase journey across three hotel preview styles, namely, (1) VR immersive headsets, (2) 360° VR tour, and (3) a static image website. Through a lab-based experiment with 270-participants, study 1 outlined the positive role of VR on learning about the hotel and visit intentions. Through a questionnaire with 409 actual tourism consumers following a hotel stay, study 2 detailed that VR plays a significant role in managing tourism consumers’ expectations through providing an authentic experience and stimulating the development of detailed mental imagery prior to their visit.
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NUK, OILJ, SAZU, UKNU, UL, UM, UPUK
A growing reliance on the Internet as an information source when making choices about tourism products raises the need for more research into electronic word of mouth. Within a hotel context, this ...study explores the role of four key factors that influence perceptions of trust and consumer choice. An experimental design is used to investigate four independent variables: the target of the review (core or interpersonal); overall valence of a set of reviews (positive or negative); framing of reviews (what comes first: negative or positive information); and whether or not a consumer generated numerical rating is provided together with the written text. Consumers seem to be more influenced by early negative information, especially when the overall set of reviews is negative. However, positively framed information together with numerical rating details increases both booking intentions and consumer trust. The results suggest that consumers tend to rely on easy-to-process information, when evaluating a hotel based upon reviews. Higher levels of trust are also evident when a positively framed set of reviews focused on interpersonal service.
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GEOZS, IJS, IMTLJ, KILJ, KISLJ, NUK, OILJ, PNG, SAZU, SBCE, SBJE, UL, UM, UPCLJ, UPUK
Purpose
This study aims to identify factors affecting tourists’ intention of using travel apps installed in their smartphones.
Design/methodology/approach
A questionnaire was developed largely based ...on the available scales in the published literature. A total of 389 participants responded to the survey, out of which 343 valid responses were obtained for statistical analysis.
Findings
Significant predictors of smartphone app usage intention included performance expectancy, social influence, price saving, perceived risk, perceived trust and prior usage habits. Usage behavior was largely mediated by usage intention, except in the case of habits. Contrary to the expectation, factors such as hedonistic motivation, facilitating conditions or effort expectancy did not impact usage intention or behavior.
Practical implications
The study gives app developers vital cues on tourist expectations from the apps. Oftentimes, developers tend to focus entirely on the material utility of their apps, neglecting every other factor influencing use. One particular implication is that despite tourism being a hedonistic activity, travel app usage behavior is not a hedonistic activity.
Originality/value
This is one of the few studies to examine adoption of smartphone travel apps in an emerging economy context by using extended unified theory of acceptance and use of technology framework with additional constructs.
游客接受手机APP的因素有哪些? 以延伸整合型科技接受模式(UTAUT2) 为框架的研讨
摘要
研究目的
本研究旨在于鉴定游客安装旅游手机APP的影响因素。
研究设计/方法/途径
本论文采用问卷形式进行采样。在389人的样本中，本研究共获得343有效数据以用于数据分析。
研究结果
经本研究鉴定，影响游客安装手机旅游APP的因素包括：性能预期、社会影响力、节约成本、感知风险、使用习惯。其中，使用动机为影响因素（使用习惯除外）是作用于使用行为的中间变量。与原本研究预期相左，诸如享乐主义的动机、便利条件、以及努力期望等因素对使用动机和使用行为并没有显著作用。
研究应用价值
本研究结果对于APP开发商将如何达到游客期望有着至关重要的启迪。开发商往往会专注于APP的物理性能方面的开发，忽视了其他影响APP使用的因素作用。本论文其中一个重要的实际应用价值在于，虽然旅游业是享乐主义的活动，旅游APP的使用行为却大相径庭。
研究原创性/价值
本研究是少数几篇以新型经济体为背景，采用延伸整合型科技接受模式(UTAUT2)为理论框架，研究旅游APP使用情况的论文。
PurposeEngaging in webcare, i.e. responding to online reviews, can positively affect consumer attitudes, intentions and behavior. Research is often scarce or inconsistent regarding the effects of ...specific webcare strategies on business performance. Therefore, this study tests whether and how several webcare strategies affect hotel bookings.Design/methodology/approachWe apply machine learning classifiers to secondary data (webcare messages) to classify webcare variables to be included in a regression analysis looking at the effect of these strategies on hotel bookings while controlling for possible confounds such as seasonality and hotel-specific effects.FindingsThe strategies that have a positive effect on bookings are directing reviewers to a private channel, being defensive, offering compensation and having managers sign the response. Webcare strategies to be avoided are apologies, merely asking for more information, inviting customers for another visit and adding informal non-verbal cues. Strategies that do not appear to affect future bookings are expressing gratitude, personalizing and having staff members (rather than managers) sign webcare.Practical implicationsThese findings help managers optimize their webcare strategy for better business results and develop automated webcare.Originality/valueWe look into several commonly used and studied webcare strategies that affect actual business outcomes, being that most previous research studies are experimental or look into a very limited set of strategies.
Background and aims
Incarceration produces a specific public health threat for drug overdose, and correctional settings do not offer medication for opioid use disorder. This study examined the ...overall impact of jail incarceration on overdose, the specific hazard for those booked on a syringe‐related charge and the proportion of all overdose decedents in the community who were in the jail prior to death.
Design and setting
A cohort study of fatal overdose outcomes among a sample of individuals booked into and released from jail between 1 January 2017 and 31 December 2019. Marion County, IN, USA.
Participants
All individuals released from one county jail between 1 January 2017 and 31 December 2017 and decedents who died within the county from an accidental fatal overdose between January 2017 and December 2019.
Measurements and findings
Using information on all jail booking events, including charge type, during a 5‐year period (January 2015–December 2019), we looked at the hazard of accidental fatal overdose post‐release, controlling for age, sex and race. Of all overdose deaths in the county, 21% (n = 237) had been in the county jail within 2 years prior to their death. Each prior booking increased the hazard of mortality by approximately 20% hazard ratio (HR) = 1.21, 95% confidence interval (CI) = 1.15, 1.28, while the presence of a syringe charge at most recent booking prior to release more than tripled the hazard of mortality (HR = 3.55, 95% CI = 2.55, 4.93).
Conclusions
In Marion County, IN, USA, there appears to be an association between increased risk of fatal drug overdose and both syringe‐related arrests and repeat jail bookings.
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BFBNIB, DOBA, FSPLJ, FZAB, GIS, IJS, IZUM, KILJ, NLZOH, NUK, OILJ, PILJ, PNG, SAZU, SBCE, SBMB, SIK, UILJ, UKNU, UL, UM, UPUK, VSZLJ
•We provide evidence on willingness-to-pay for offsets of flight-related emissions.•We use a revealed-preference approach in a large dataset of a Swiss airline.•WTP for offsetting is low, median WTP ...is zero.•Our results question results based on hypothetical stated-preferences methods.
Voluntary offsetting of flight-related emissions is an important cornerstone of passengers’ individual efforts to contribute to climate change mitigation. Hence, many scientific studies have tried to assess people’s willingness-to-pay to offset their own flight-related carbon emissions. Up-to-date, these studies are overwhelmingly grounded in hypothetical stated-preference approaches, with very limited knowledge about external validity. Here, we report on an observational field study involving a final sample of 63,520 bookings made with a European airline, allowing us to gauge actual willingness-to-pay for carbon dioxide compensation in a revealed-preference approach. Our pre-registered study shows that the median willingness-to-pay to voluntarily offset a ton of carbon dioxide from flight-related emissions is zero, with the mean willingness-to-pay being around 1 EUR. Aggregated voluntary willingness-to-pay thus dramatically falls short of current prices to offset carbon dioxide, for example through the EU-ETS. Our results thereby question the suitability of self-reported, hypothetical assessments of offsetting and raise caution about the effectiveness of offsetting schemes, which currently do not very successfully internalize flight-related cost of emissions.
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GEOZS, IJS, IMTLJ, KILJ, KISLJ, NLZOH, NUK, OILJ, PNG, SAZU, SBCE, SBJE, UILJ, UL, UM, UPCLJ, UPUK, ZAGLJ, ZRSKP
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