Search results

Smartphones have influenced tourists’ information search behaviors and trip experiences in various ways. Operationalized in the air travel context, this study aims to apply the technology acceptance model (TAM) to unveil the causal relationships and potential compatibility or consistency between smartphone apps and travelers’ prior experiences, perceived technological congruence and technology value, attitudes toward price change and usage intentions.

Research data were collected via an online survey administered by a survey sampling company. The online questionnaire queries respondents’ frequency of downloading smartphone apps, familiarity with travel-related mobile apps, frequency of travel experiences, perceived technological congruence of the app and travel needs, attitudes toward price change, intention to purchase the mobile app and demographic information.

Results from structural equation modeling analysis indicate that travelers’ smartphone usage experiences significantly influence their perception of the device’s technological value in relation to travel needs and therefore results in positive attitudes toward price of the new mobile app and intention to use it. Prior trip experience, however, was not found to be an influential determinant in consumers’ smartphone acceptability, which departs from the existing literature.

This study provides evidence for the need to include perceived technological congruence in the construct of travelers’ TAM. It highlights the influence of the technology congruence variable and the compatibility of apps and travel needs in the literature.

智能手机对游客信息搜索行为和旅行体验有着很多影响。本论文针对航空旅行体验, 旨在通过科技接受模型TAM来检验智能手机APP和游客之前经历、感知科技一致性、科技价值、对价格变化的态度、以及使用倾向的关系。

采样数据通过专业问卷取样公司来做在线问卷调查。问卷主要测量受访者通过智能手机下载APP的频率、对旅游APP的熟悉度、旅游频率、APP和旅游需求的感知科技一致性、对态度变化的态度、购买APP的意向、以及统计人口数据。

本论文采用结构方程模型来分析数据, 结果表明, 游客智能手机使用体验对其旅游需求科技一致性有显著影响, 因此, 其对新APP态度和使用意图有积极影响。然而, 之前的旅行经历对消费者智能手机接受度并没有显著影响, 这与现有文献的研究结果有区别。

本论文研究了在游客科技接受模型TAM下的感知科技一致性, 其突出了科技一致性因素和APP与旅游需求协调性的重要性。

、航空旅行、智能手机, 关键词：、科技接受模型tam 、科技一致性

This study aims to identify factors affecting tourists’ intention of using travel apps installed in their smartphones.

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.

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.

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.

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.

本研究旨在于鉴定游客安装旅游手机APP的影响因素。

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。

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。

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。

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。

In a context where retail stores are closing down and high streets are declining, the purpose of this paper is to analyse on-site shopping by tourists. This work identifies the drivers that lead tourists to use digital information sources at the beginning of the shopping process. Understanding these drivers can help destination managers and retailers encourage tourists to shop.

A personal survey was conducted in a Spanish city noted for its shopping facilities (Logroño), using a sample of 430 tourists with purchase intention. The survey was designed based on the extended unified theory of acceptance and use of technology (UTAUT2) model. A multivariate analysis, based on structural equation modelling, was carried out using partial least squares (PLS), based on variance.

The study’s finding is that performance expectancy, effort expectancy, social influence, facilitating conditions and habit influence intention to use digital sources of information to make purchases in a destination. Tourists prioritise utilitarian over hedonic motivations in the intention to use digital sources of information in tourist shopping.

It has been recognised that tourists are the perfect target to revitalise on-site shopping and, therefore, destinations must provide attractive shopping experiences from the outset. Prior to purchase, the search for available information is the first stage of the tourist shopping journey. Although many studies have analysed tourist shopping behaviour, none have focused, using the UTAUT2, on the digital information sources tourists consult pre-purchase. This research develops understanding of tourist shopping behaviour in this new technological context. This can help retailers/destinations provide better services and optimise the shopper's experience from the first stage of the process.

零售商店陸續倒閉，商業街的經營業務逐漸式微；本文旨在分析遊客在這背景下的現場購物活動。本文擬確定遊客在購物過程的初期驅使他們使用數位資訊來源的誘因；了解這些誘因，將有助目的地管理經理和零售商推動遊客購物活動。

研究人員在一個以購物設施馳名的西班牙城市(洛格羅尼奧) 進行個人調查，樣本為430名有意購物的遊客。調查是以整合性科技接受使用理論的延伸模型(UTAUT2)為基礎而設計的。研究人員使用以方差為基礎的偏最小平方，來進行以結構方程模型為基礎的多變數分析。

績效期望、付出期望、社群影響、促成條件和習慣均影響遊客為目的地購物而使用數位資訊來源的意慾。而就這意慾而言，功利動機在優先次序上比享樂動機佔更高的位置。

我們承認，要使現場購物得以復甦，遊客是最適當的目標。因此，旅遊目的地必須從一開始就要給遊客提供愉快的購物體驗。遊客購物前、尋找有關的購物資訊便是這個旅遊購物旅程的第一個階段。分析遊客購物行為的研究為數不少，唯使用第2代整合型科技接受理論(UTAUT2) 、重點探討遊客購物前使用數位資訊來源來尋找資訊的研究則從未見過。本研究讓我們更深入了解遊客在這個新技術背景下的購物行為，這有助零售商/目的地經營者為遊客提供更佳的服務、及優化遊客從購物過程首階段開始的購物體驗。

The purpose of this paper is to identify the factors that explain the acceptance of self-service ordering systems (SOSs) for restaurants and to explore the effects of “self-service system service quality” (SSQ) and “interpersonal service quality” (ISQ) on the acceptance factors extended from the Unified Theory of Acceptance and Use of Technology model.

This study targets customers who have recently used SOSs to order foods in middle-class restaurants. In total, 402 valid survey samples were obtained. Partial least squares (PLS) analysis was used to examine the factors of user acceptance of using SOSs.

The results of the PLS-SEM analysis indicate that SSQ has a significant effect on accuracy expectancy, speed expectancy and effort expectancy; ISQ has a significant effect on accuracy expectancy, speed expectancy, effort expectancy and facilitating conditions; and accuracy expectancy, speed expectancy, effort expectancy, social influence, facilitating conditions and budget expectancy significantly influence user acceptance of SOSs. Furthermore, user experiences moderate the effect of speed expectancy and effort expectancy on user acceptance.

This study introduces three technology acceptance factors (accuracy, speed and budget) for researchers to consider in the future. It also extends the knowledge about the human service factor when middle-class restaurants adopt self-service technologies (SSTs). Recommendations are provided for system developers to improve the system quality of SSTs and service staff to rethink their roles in adopting SSTs in the service industry.

本文研究目的有:（1）确认解释客人接受餐厅自助订餐系统（SOSs）的决定因素（2）探索自助系统服务质量（SSQ）和人机服务质量（ISQ）对于UTAUT模型科技接受因素的作用。

本论文的目标受众为近期使用过SOSs在中等餐厅点餐过的客人。样本为402份有效问卷数据。本论文使用PLS分析检测用户接受SOSs的各项因素。

PLS-SEM分析结果表明, SSQ对准确预期、速度预期、努力预期, 有显著作用; ISQ对于准确预期、速度预期、努力预期、以及辅助条件, 有显著作用; 准确预期、速度预期、努力预期、社会影响、辅助条件、以及预算预期对于SOSs用户接受有显著作用。此外, 用户体验调节速度预期和努力预期对于用户接受的作用。

本论文新增了三种科技接受因子（准确度、速度、和预算）, 为未来的科研创造土壤。本论文还扩展了我们对于人员服务因子在中等餐厅采用SSTs的认知。本论文建议系统开发者应该提高SST系统质量, 以及建议服务人员重新审视在服务产业采用SST中自己的位置。

User acceptance is a necessary precondition to implementing self-driving buses as a solution to public transport challenges. Focusing on potential users in a real-life setting, this paper aims to analyze the factors that affect their willingness to use public autonomous shuttles (PASs) as well as their word-of-mouth (WOM) intentions.

Grounded on Unified Theory of Acceptance and Use of Technology (UTAUT2), the study was carried out on a sample of 318 potential users in a real-life setting. The hypothesized relationships were tested using partial least squares structural equation modeling (PLS-SEM).

The study reveals that performance expectancy, facilitating conditions, hedonic motivation and trust are significant predictors of PAS usage intention, which is, in turn, related to WOM communication. Additionally, the factors that impact the intention to use a PAS are found to exert an indirect effect on WOM, mediated by usage intention.

This study includes practical insights for transport decision-makers on PAS service design, marketing campaigns and WOM monitoring.

While extant research focuses on passengers who have tried autonomous shuttles in experimental settings, this article adopts the perspective of potential users who have no previous experience with these vehicles and identifies the link between usage intention and WOM communication in a real-life traffic environment.

若要引入自動駕駛巴士來解決公共交通的問題和挑戰,一個必不可少的先決條件是得到用戶的認可。本研究透過重點分析活在真實生活環境中的潛在用戶,來探討影響他們使用公共自動交通工具的意願和口碑動機的各個因素。

本研究以延伸整合型科技接受模式為基礎,對一個涵蓋處身於真實生活環境中318名潛在用戶的樣本進行分析和探討。研究人員以偏最小平方法的結構方程模型 (PLS-SEM), 去測試各個被假設的關聯。

研究結果顯示,績效期望、有利條件、享樂動機和信任均明顯能夠預測人們使用公共自動交通工具的意願,而人們使用公共自動交通工具的意願又反過來與口碑溝通有所相關。另外,研究人員發現,影響人們使用公共自動交通工具意願的各個因素,對口碑會產生間接的影響,而使用意願是會起著調節作用的。

現存的學術研究均聚焦分析那些曾於實驗設置下坐過自動交通工具的人士,而本研究卻採用從未坐過自動交通工具人士的角度來進行分析與探討,並且找出了於實際的交通環境裡、使用意願與口碑溝通之間的關聯。

本研究提供的啟示,對有關公共自動交通工具服務設計、市場營銷活動和口碑監督工作的運輸決策者來說頗具實務意義。

This study aims to extend the technology acceptance model (TAM) to examine whether the introduction of robots influences employees’ behavioral intentions to use robots and awareness of robots to promote human–robot collaboration (HRC). Besides, the role of strategic human resource management (HRM) involvement as a moderator in the perception of robots as a team member was investigated.

Data were collected from 500 respondents via the Amazon Mechanical Turk platform. After data cleaning, 329 valid responses were analyzed. Partial least squares structural equation modeling was applied using Smart PLS Ver. 3.0 to test the study’s measurement and proposed research model.

The study results show that robots’ perceived usefulness and ease of use positively influence employees’ behavioral intentions to use robots. In addition, the advantages and disadvantages of robots have a positive impact on robot awareness. Employees’ behavioral intentions and awareness contribute positively to HRC. On the other hand, the moderating role of strategic human resources (HR’s) involvement in the relationships was insignificant.

This study provides an exclusively applied understanding of robot presence and embodiment relevant to real-world HRC. In the travel, tourism and hospitality (TTH) industry, employees’ intention to use robots and robot awareness are significant factors. However, HRM involvement without the acceptance of robots could not enhance HRC.

Based on the literature review, to the best of the authors’ knowledge, this study is one of the first on this topic and extends TAM with new antecedents related to robot use, robot awareness and HRC in the TTH industry. In addition, this model attempts to determine the factors that favor HRC in the industry. This study also assessed the moderating role of strategic HR’s involvement in the behavioral intention of robot use, robot awareness and HRC.

由于高科技领域的快速扩张, 机器人成为旅行、旅游和酒店业的传统。因此, 本文旨在研究是否机器人的采用会影响员工的离职意愿和人机协作和人力资源管理在激励员工与机器人团队合作方面的作用。

本研究采用定量方法。总共 500本研究的数据是通过 MTurk 平台收集, 但其中, （n = 329）是最终确定样本量, 并应用基于偏最小二乘的结构方程模型（PLS-SEM）使用 Smart PLS Ver. 3 检验研究的测量和关系模型

该研究的结果确定了机器人的有用性和易用性人机协作对员工行为意向的积极影响, 除此之外, 机器人的优势和劣势尽管对意识产生积极影响, 但员工的意识不影响人机协作。以及 HRM 战略参与的角色对员工意愿的影响并不充分且积极。

这项研究对员工的机器人的使用意图和人力资源管理在机器人采用和激励决策中的员工进行协作提供了应用性的理解。意识是对员工离职的一项动态担忧; 因此, 人力资源管理应该确保采用机器人对员工有帮助

这是第一项有条不紊地研究人力资源管理在旅行、旅游和酒店研究中的人机协作。这项研究对员工重要性以及先进的旅游技术进行了传播。

The purpose of this paper is to further our knowledge of what influences users to adopt mobile augmented reality in tourism (MART). A conceptual model is proposed, combining the extension of Unified Theory of Acceptance and Usage of Technology (UTAUT2) with task technology fit (TTF), to explain behavioural intention and user behaviour of MART adopters.

A questionnaire was completed by a sample of 335 respondents in Portugal. Both UTAUT2 and TTF were combined into a new model from which several hypotheses were drawn based upon the literature.

The results have shown that the model explains 72 per cent of the variance in behaviour intention to use MART and 45 per cent of the variance in user behaviour.

MART is becoming increasingly known to travellers as it provides the user diverse and useful information with a real relationship with the world. By studying behaviour and what influences consumers to use MART, this study aims to advance the research into new technologies in tourism.

本论文旨在扩展对于消费者在旅游行业中使用移动增强现实科技（MART）的知识。本论文结合科技接受和使用全模型（UTAUT2）和任务科技配置度模型（TTF）, 提出一个新型的理论模型, 用于更深度理解MART使用者的使用意图和行为。

本论文采用问卷采样形式, 采样地点在葡萄牙, 一共采集335份样本数据。由UTAUT2和TTF模型整合的新模型得到了理论认证。

本论文新模型解释了72%的MART消费者行为意图和45%消费者使用行为。

MART如今越来越受到游客的认识, 其科技通过一种与现实更贴近的手段, 向游客提供多样且实用的信息。本论文通过研究消费者使用MART的行为, 对旅游产业新科技的应用有着很深的理论贡献。

This study aims to investigate the impact of the speed of change (trend) in information technology (IT) expenditures on performance risk indicated by revenue volatility in the US hotel industry.

To systematically investigate the impacts of IT expenditures on hotel performance risks, this study collects the same store proprietary data of 1,471 hotel properties from CBRE, a leading hotel consulting firm in the USA, from 2011 to 2017, with a total of 10,297 observations.

Econometric analyses are performed and results indicate a significant and positive impact of the speed of change of IT systems expenditures on the performance risk after comprehensively controlling for confounding factors following prior research.

With the increased importance of IT in day-to-day activities, hospitality business owners have started to quickly adjust their investment in IT infrastructure and superstructure to enhance their business performance. However, their fast-changing expenditures may introduce more risks to their businesses based on the speed–accuracy tradeoff, systems theory and the Schumpeterian Growth Model. This study is one of the pioneer projects that ever assessed the impact of IT expenditure and speed of change on performance risks of hotels.

科技创新（TBI）在酒店业提高消费者体验的实践中属于首选方法。了解哪些影响消费者接受酒店TBI的因素至关重要。本论文假设, 除了常用的科技接受模型以外, 消费者对科技的态度会影响到TBI接受度。

本论文开发了一个关于对科技的态度作用于TBI的模型, 并邀请受访者观看在一家行业尖端的连锁酒店中采用无钥匙登记流程的VCR, 然后完成调研问卷。本论文采用科技接纳量表TAP来衡量消费者对科技的态度。

科技态度对酒店订房意图, 作为消费者接受酒店TBI接受度的代表, 有很大的影响。然而, 科技态度只通过信任和好奇感两个中介变量来实现订房意图。

研究结果提供有用见解, 鼓励酒店通过介绍TBI服务积极增强消费者对科技的态度。

大多数研究电子商务接受度的文章往往专注在消费者使用产品或服务的态度变化或者情感倾向。相反, 本论文研究消费者对科技的态度作用于消费者接受酒店TBI服务的态度。本论文证明了对科技的态度显著影响了酒店TBI服务接受度。此外, 本论文还提供实践证明采用TAP量表来研究TBI服务的文章。

Technology-based innovation (TBI) is a primary approach across the hospitality industry to improve customer experience. It is essential to know the critical factors that affect consumers’ acceptance of hotels’ TBI. The effect of consumers’ attitudes toward technology is hypothesized to affect the acceptance of TBI besides commonly used technology acceptance models.

A model of attitudes toward technology influence on TBI was constructed and tested by inviting participants to watch a video of a keyless check-in process of a leading hotel chain and then completed a questionnaire. The attitudes toward technology were measured using the technology adoption propensity (TAP) scale.

Attitudes toward technology strongly affect the hotel’s booking intention (BI) used as a proxy for consumers’ acceptance of hotels’ TBI. However, attitudes toward technology can only influence BI through the mediating variables of trust and curiosity.

The findings provide useful insights, encouraging hotels to positively enhance consumers’ attitudes toward technology when introducing TBI services.

Most research on the acceptance of e-commerce technology focuses on consumers’ resulting attitudes or emotions using the products or services. In contrast, this study investigates the effect of consumers’ attitudes toward technology on accepting hotels’ TBI service. The study demonstrated that attitudes toward technology substantially impact the acceptance of hotels’ TBI service. Furthermore, the study provides empirical support on the use of the TAP scale in complex TBI services.

科技创新（TBI）在酒店业提高消费者体验的实践中属于首选方法。了解哪些影响消费者接受酒店TBI的因素至关重要。本论文假设, 除了常用的科技接受模型以外, 消费者对科技的态度会影响到TBI接受度。

本论文开发了一个关于对科技的态度作用于TBI的模型, 并邀请受访者观看在一家行业尖端的连锁酒店中采用无钥匙登记流程的VCR, 然后完成调研问卷。本论文采用科技接纳量表TAP来衡量消费者对科技的态度。

科技态度对酒店订房意图, 作为消费者接受酒店TBI接受度的代表, 有很大的影响。然而, 科技态度只通过信任和好奇感两个中介变量来实现订房意图。

研究结果提供有用见解, 鼓励酒店通过介绍TBI服务积极增强消费者对科技的态度。

大多数研究电子商务接受度的文章往往专注在消费者使用产品或服务的态度变化或者情感倾向。相反, 本论文研究消费者对科技的态度作用于消费者接受酒店TBI服务的态度。本论文证明了对科技的态度显著影响了酒店TBI服务接受度。此外, 本论文还提供实践证明采用TAP量表来研究TBI服务的文章。

This paper aims to analyse the effect of technology acceptance variables on customer attitude and customer engagement behaviours (CEB) with social tourism websites (STWs).

An empirical study was carried out with 346 customers. A model was developed to analyse the relationships between CEB and their determinants. Partial least squares – structural equation modelling was used to test the model.

Customers’ perceptions of enjoyment, ease of use, usefulness and trustworthiness positively influence their attitude towards STWs and their subsequent engagement behaviours [purchases, word of mouth (WOM) and referrals].

This study develops and empirically tests a model that analyses the impact of technology acceptance model variables on CEB, both transactional (customer purchases) and non-transactional (customer WOM, referrals and feedback), in the context of STWs.

本论文分析研究科技urism websitehaviours pur

研究样本为研究科技urism websitehaviours purchasesLS-SEM分析验证假设模型。

研究结果表明, 顾客愉快感知、易使用、有用性、以及可信任度等变量对顾客社交旅游网站的态度及后续参与行为（购买、sOM、推荐）有着积极影响。

本论文开发并验证分析了科技接受模型变量对顾客参与行为的影响, 包括交易性（顾客购买）以及非交易性（顾客（OM、推荐、反馈）, 以社交旅游网站为背景。