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Article
Publication date: 11 June 2019

Yawei Xu, Lihong Dong, Haidou Wang, Yuelan Di, Xiaozhu Xie, Peng Wang and Miao Zhang

Crack sensor based on RFID tag has become a research hotspot in the field of metal structural health monitoring for its significant benefit of passive wireless…

Abstract

Purpose

Crack sensor based on RFID tag has become a research hotspot in the field of metal structural health monitoring for its significant benefit of passive wireless transmission. While in practice, crack location will impact the performance of crack depth-sensing tag. The purpose of this paper is to provide a method for reducing disturbance of crack location on crack depth-sensing tag.

Design/methodology/approach

The effect analysis of crack location on crack depth-sensing tag is presented first to find disturbance reason and disturbance law. On the basis of that, a miniaturized tag is proposed to improve the current distribution and reduce the disturbance introduced by crack location.

Findings

The degree of crack location disturbance is closely related to the current distribution in the coverage area of tag. Because sensing tag performs better when crack locates in the high current density area, miniaturization of sensing tag is exploited to expand the high current density area and make the area more symmetrical. The simulated and experimental results demonstrate that tag miniaturization can enhance the performance of crack depth-sensing tag.

Originality/value

This paper provides a method to enhance the performance of crack depth-sensing tag.

Details

Sensor Review, vol. 39 no. 4
Type: Research Article
ISSN: 0260-2288

Keywords

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Article
Publication date: 30 January 2020

Yawei Xu, Lihong Dong, Haidou Wang, Xiaozhu Xie and Peng Wang

RFID tags for sensing are available to operate and transmit sensing data to measurement equipment without battery and wires, which is a great advantage in establishing IoT…

Abstract

Purpose

RFID tags for sensing are available to operate and transmit sensing data to measurement equipment without battery and wires, which is a great advantage in establishing IoT environment. For crack sensing tags, however, the short service life of tags restricted their application. This paper aims to introduce a method of surface crack detection and monitoring based on RFID tag, which makes it possible for tags to be reused.

Design/methodology/approach

Metal plate to be monitored, acting as the ground plane of microstrip patch antenna, is underneath the crack sensing tag. The propagating surface crack in metal plate will change the electric length of tag’s antenna that is directly proportional to the crack depth and length. Thus, the deformation of sensing tag introduced by the load on metal structure is no longer a prerequisite for crack sensing.

Findings

The simulated and experimental results show that the proposed crack sensing tag can sense the change of surface crack with mm-resolution and sense surface crack propagation without a deformation, which means the proposed crack sensing tag can be reused.

Originality/value

The key advantage of the proposed method is the reusability of the RFID tags.

Details

Sensor Review, vol. 40 no. 1
Type: Research Article
ISSN: 0260-2288

Keywords

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Article
Publication date: 22 March 2019

Karen L. Xie and Yong Chen

Despite the importance of hosts who contribute to the success of accommodation sharing through sharing underutilized space with guests, current literature sheds little…

Abstract

Purpose

Despite the importance of hosts who contribute to the success of accommodation sharing through sharing underutilized space with guests, current literature sheds little light on what exactly incentivizes hosts to grow their properties. The purpose of this study is to investigate the effects of multifaceted motivations including financial benefits, online social interaction and membership seniority and their interplay on hosts’ multiple listing behavior.

Design/methodology/approach

The study is instantiated on real-world business data collected from an accommodation-sharing platform in China. The data set includes 3,199 observations of 252 multi-listing hosts in Beijing who managed 815 properties from September 2012 to October 2016.

Findings

The study discloses that financial benefits, online social interaction and membership seniority significantly incentivize hosts to list multiple properties on the accommodation-sharing platform. In particular, the social incentive is the most important driver among the three. With a 1 per cent increase in online social interactions, the number of properties operated by a host would increase by 13.5 per cent. While the financial benefits and online social interaction motivate hosts to engage in the multi-listing behavior, such effects are significantly mitigated as the membership seniority increases.

Research limitations/implications

This study adds to the extant literature a unique yet less researched perspective of supply expansion driven by hosts. It also provides important practical implications for managing multiple properties for a healthy and viable accommodation-sharing community.

Originality/value

While a majority of the extant research on the sharing economy primarily takes a consumer-related perspective, this study addresses a different and original topic about hosts’ multiple-listing behavior that drives the supply of accommodation sharing. It is a first empirical investigation of the increase of accommodation sharing supply with host motivations explained.

Details

International Journal of Contemporary Hospitality Management, vol. 31 no. 4
Type: Research Article
ISSN: 0959-6119

Keywords

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Article
Publication date: 9 April 2019

Karen L. Xie, Linchi Kwok and Jiang Wu

The purpose of this study is to examine the effects of host attributes and travelers’ frequency of past stays and their interaction on the likelihood of repeat purchase of…

Abstract

Purpose

The purpose of this study is to examine the effects of host attributes and travelers’ frequency of past stays and their interaction on the likelihood of repeat purchase of home-sharing services at both the host and listing levels.

Design/methodology/approach

A combination of econometrics analyses using a large-scale, granular online observational data set collected from a home-sharing platform was performed.

Findings

Travelers exhibit salient loyalty to home-sharing services. At the host level, host attributes including acceptance rate and listing capacity positively affect travelers’ likelihood of repeat purchase; such effects diminish as travelers’ frequency of past stays with a host/listing increases. At the listing level, confirmation efficiency and acceptance rate are critical, and travelers’ frequency of past stays matters.

Research limitations/implications

Responding to the call for more research on customer loyalty of sharing economy, this study instantiated on a home-sharing website in China and adds a unique perspective to the research domain, but its findings may not be generalized in other settings.

Practical implications

This study identifies the factors affecting customers’ repeat purchase behaviors at both the host and listing levels, allowing the hosts, webmasters of home-sharing websites and even hoteliers to advance specific tactics to promote repeat purchase among travelers.

Originality/value

Loyalty was measured with real-time internet-enabled observational data about travelers’ actual repeat purchase behavior on a home-sharing website, rather than assessing consumers’ behavioral intentions through the conventional survey method. Two specific levels of customer loyalty were analyzed, including the ones towards a service provider (host) and a service product (listing).

Details

International Journal of Contemporary Hospitality Management, vol. 31 no. 3
Type: Research Article
ISSN: 0959-6119

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Article
Publication date: 17 October 2018

Linchi Kwok and Karen L. Xie

Buyers (renters) and sellers (hosts) on peer-to-peer (P2P) room-sharing websites make purchasing/selling decisions based on each other’s demographic information published…

Abstract

Purpose

Buyers (renters) and sellers (hosts) on peer-to-peer (P2P) room-sharing websites make purchasing/selling decisions based on each other’s demographic information published in the cyber marketplace. Nevertheless, how this reciprocal selection based on the similarities between renters and hosts may lead to a successful P2P transaction of such services has not yet been discussed. Building on the similarity–attraction paradigm, this study assessed the similarity effects between renters and hosts on the likelihood of a P2P room-sharing transaction.

Design/methodology/approach

A logistical regression model was employed in analysis, using a large-scale, granular online observational data set collected from Xiaozhu.com, a primary home-sharing platform in China.

Findings

Renter–host similarities in age and education significantly affect the likelihood of a P2P room-sharing transaction. As the number of listings managed by a host increases, the effect of age similarity decreases. While a renter’s experience with a room-sharing website negatively moderates the similarity effect of age, it is a factor positively moderating the similarity effect of education.

Research limitations/implications

Other possible host–renter similarities were not analyzed due to the limitation of the data source. The reciprocal selection process for room-sharing services was acknowledged by integrating buyers’ and sellers’ data into one analysis.

Practical implications

Implications are advanced for the stakeholders of room-sharing business, including entrepreneurs running a room-sharing website, operators of short-term residential rentals and hoteliers.

Originality/value

This study represents a first attempt to research the buyer–seller similarity effects on the likelihood of a P2P transaction in sharing economy.

Details

International Journal of Contemporary Hospitality Management, vol. 30 no. 9
Type: Research Article
ISSN: 0959-6119

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Article
Publication date: 7 June 2019

Kevin Kam Fung So, Karen L. Xie and Jiang Wu

This study aims to focus on peer-to-peer accommodation services in the sharing economy. Adopting construal level theory as the theoretical foundation, this study…

Abstract

Purpose

This study aims to focus on peer-to-peer accommodation services in the sharing economy. Adopting construal level theory as the theoretical foundation, this study investigates the main and interaction effects of social and spatial distances on guest loyalty toward peer-to-peer accommodation.

Design/methodology/approach

This study uses a secondary source of online observational data archived on Xiaozhu, a leading peer-to-peer accommodation sharing platform in China. It consists of 2,612 observations of 1,304 unique travelers who stayed at 559 listings managed by 281 hosts in four major metropolitan areas of China over four years from August 2012 to August 2016. Non-linear binary choice panel models of probability regressions were used to estimate the effects of psychological distances (social and spatial) between hosts and guests on the likelihood of repeat purchase. The software used for the econometric analyses is STATA 14.

Findings

The results indicate that social distance negatively affects guest loyalty toward the listing hosts, while spatial distance has a positive influence on guest loyalty. The results also show significant interactions between the two psychological distance dimensions in influencing loyalty. The findings provide important insight into the influences of psychological distances on travelers’ repeat purchase behavior toward peer-to-peer accommodation providers.

Originality/value

This study contributes to the literature by providing empirical evidence that supports the importance of psychological distances in forming a loyal relationship between hosts and guests in the peer-to-peer accommodation sector of the sharing economy.

Details

International Journal of Contemporary Hospitality Management, vol. 31 no. 8
Type: Research Article
ISSN: 0959-6119

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Article
Publication date: 13 November 2017

Jiang Wu, Panhao Ma and Karen L. Xie

Trust has been widely recognized as the crucial factor of consumer purchase intention when shopping on peer-to-peer short-term rental platforms where hosts and renters are…

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Abstract

Purpose

Trust has been widely recognized as the crucial factor of consumer purchase intention when shopping on peer-to-peer short-term rental platforms where hosts and renters are strangers. However, the specific attributes of hosts that help build trust with potential renters and drive their purchase of short-term rentals remain unknown. This study aims to explore the effects of host attributes on renter purchases made on Xiaozhu.com, one of the top short-term rental platforms in China, while controlling for short-term rental characteristics.

Design/methodology/approach

A crawler program was developed by Python to collect the host attributes and their short-term rental characteristics of 935 hosts in Beijing from November 18, 2015 to February 14, 2016. The authors use Poisson regression models to estimate the effects of host attributes on renter reservations. They also conduct a series of robustness checks for the estimated results.

Findings

The authors found that host attributes such as the time of reservation confirmation, the acceptance rate of renter reservations, the number of listings owned, whether a personal profile page is disclosed and gender of the host significantly affect renter reservations, whereas the response rate of the host does not influence renters when purchasing short-term rentals online.

Originality/value

This study identifies which host attributes are perceived as trustworthy and affect renters’ purchase decisions, a topic of both theoretical and practical importance but currently less researched. The findings add to emerging literature by providing insights on trust-building in the peer-to-peer economy. Useful suggestions are also provided on strengthening the trust mechanism on short-term rental platforms to facilitate peer-to-peer transactions. Notably, the study is the first attempt to examine the perception of Chinese users toward short-term rentals despite its global prevalence. The analytical insights revealed from large scale but granular online observations data of host attributes and actual renter reservations greatly supplement findings of extant literature using survey and experiment approaches.

Details

International Journal of Contemporary Hospitality Management, vol. 29 no. 11
Type: Research Article
ISSN: 0959-6119

Keywords

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Article
Publication date: 11 February 2021

Sai Liang, Xiaoxia Zhang, Chunxiao Li, Hui Li and Xiaoyu Yu

Due to their very different contexts, the responses made by property hosts to online reviews can differ from those posted by hotel managers. Thus, the purpose of this…

Abstract

Purpose

Due to their very different contexts, the responses made by property hosts to online reviews can differ from those posted by hotel managers. Thus, the purpose of this study is to investigate the determinants of the responding behavior of hosts on peer-to-peer property rental platforms.

Design/methodology/approach

This study applied a comprehensive framework based on the theory of planned behavior. Empirical models are constructed based on 89,967 guest reviews with their associated responses to reveal the responding pattern of property hosts.

Findings

Unlike hotel managers, property hosts are more likely to reply to positive than to negative reviews; moreover, when they do choose to respond to negative reviews, they are likely to do so negatively, in a “tit-for-tat” way. This study also finds that one reason for the difference of responding patterns between property hosts and hotel managers is the hosts’ lack of experience of consumer relationship management and service recovery.

Research limitations/implications

This study provides a good start point for future theoretical development regarding effective responding strategy on peer-to-peer property rental platforms, as well as some useful implications for practitioners.

Originality/value

This study is an early attempt to analyze the impact of the particularity of emerging platforms on the responding behavior of service providers based on a comprehensive conceptual framework and empirical model thus provides a good starting point for the further investigation of effective response strategies on these emerging platforms.

Details

International Journal of Contemporary Hospitality Management, vol. 33 no. 3
Type: Research Article
ISSN: 0959-6119

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Article
Publication date: 9 October 2017

Jiang Wu, Minne Zeng and Karen L. Xie

Although room-sharing platforms such as Airbnb have become globally prevalent business phenomena, no cross-cultural research has been conducted to examine how travelers…

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2633

Abstract

Purpose

Although room-sharing platforms such as Airbnb have become globally prevalent business phenomena, no cross-cultural research has been conducted to examine how travelers outside the “Western Bubble” perceive and respond to this sharing economy. The purpose of this paper is to explore factors that affect Chinese travelers’ behavioral intentions toward room-sharing platforms in the sharing economy.

Design/methodology/approach

Based on theories of motivation, the influences on travelers of utilitarian and hedonic motivation, perceived trust and past experience were investigated. Considering the characteristics of room-sharing, utilitarian motivation is measured by service experience, information acquisition, cost saving and resource efficiency. Hedonic motivation is measured by adventure, gratification, sharing and friend-seeking. Data were collected in online survey from 445 valid samples and analyzed by partial least squares (PLS) regression approach using SmartPLS 3.0.

Findings

The findings indicate that although intensity varies, utilitarian motivation, hedonic motivation and perceived trust do have positive effects on tourists’ behavioral intentions. Past experience with room-sharing moderates these effects.

Originality/value

There is scant research about consumers’ behaviors toward a sharing economy in Western countries and no empirical research in this field with analyses of Chinese consumers, although China is an emerging market in the hospitality industry. None of the previous research was based on theories of motivation and trust, especially without a consideration of the moderating effect of past experience. Therefore, this study aims to narrow these gaps and to combine, organize and extend previous studies to improve the analysis of behavioral intention in the sharing economy. The value of this study lies in the research model and analysis with the backdrop of China.

Details

International Journal of Contemporary Hospitality Management, vol. 29 no. 10
Type: Research Article
ISSN: 0959-6119

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Article
Publication date: 10 November 2020

Lingyun Guo, Xiayu Hu, Xuguang Wei and Xiaonan Cai

This paper aims to help hosts or service providers of sharing economy-based accommodation (SEA) to attract new customers and retain existing customers by exploring the…

Abstract

Purpose

This paper aims to help hosts or service providers of sharing economy-based accommodation (SEA) to attract new customers and retain existing customers by exploring the antecedents and outcomes of customers’ participation intention.

Design/methodology/approach

A questionnaire-based empirical study was conducted to explore the proposed relationships in SEA. Partial least squares modeling with SmartPLS was used to estimate the model and interpret the results.

Findings

The study shows that personal factors (utilitarian and hedonic motivation) positively influence customers’ participation intention. The relationship between environmental stimuli (perceived information fit-to-task and perceived visual appeal) and participation intention is negatively moderated by hedonic motivation. Furthermore, the results suggest a positive effect of participation intention on customer engagement behavior and the partial mediating role of experience evaluation.

Practical implications

This paper provides industry practitioners of SEA with valuable insights on attracting new customers and retaining regular customers. First, they can distinguish customers in terms of motivation and provide information based on their requirements. Second, they can encourage customers to evaluate their experience and provide feedback, which would help in promoting the accommodation and service and building a long-term and harmonious relationship with the customers.

Originality/value

This study first investigates the interaction effect of personal motivation and environmental stimuli on participation intention in SEA. It further examines the influence of participation intention on customer engagement behavior and the mediating role of experience evaluation.

研究目的

本论文旨在帮助SEA(共享经济住宿)的民宿老板或服务提供者, 通过探索顾客参与和契合的影响因子和反应变量, 来吸引新顾客以及保留老顾客。

研究设计/方法/途径

本论文采用问卷形式实际调研, 探索SEA中的各种假设关系。本论文采用SmartPLS软件, 使用PLS分析法来检验模型以及展示分析结果。

研究结果

本论文结果表明, 个人因素(功利与享乐需求)正向影响顾客参与。环境因素(感知信息适合和感知视觉吸引)与参与意愿之间被享乐需求负向调节。此外, 结果还表明参与意愿对于顾客契合行为有着正向作用, 以及体验评价的部分中介效应。

研究实践启示

本论文为SEA企业从业人员提供如何吸引新顾客以及留住老顾客的宝贵见解。首先, 顾客根据需求和基于他们的需求所提供的信息可进行区分。第二, 企业主应该鼓励顾客评价他们的体验和提供反馈, 从而帮助提高住宿服务以及建立与顾客长期和谐的关系。

研究原创性/价值

本论文首先调研了个人需求和环境刺激对SEA参与意愿的相互作用。其次, 本论文还检验了参与意愿对于顾客契合行为的作用, 以及体验评价的中介效应。

Details

Journal of Hospitality and Tourism Technology, vol. 11 no. 4
Type: Research Article
ISSN: 1757-9880

Keywords

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