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Over-tourism signifies the dilemma of managing tourism growth in cities. With growing media sensationalism and an oversimplification of the phenomenon of over-tourism, its academic theorization has become extremely important. Using Macau, a Special Administrative Region of China as a case in point, the purpose of this paper is to theoretically explore the nexus between over-tourism and sustainable consumption in cities, highlighting governments’ inevitable role in this successful convergence.

The study is based on a selective systematic literature review (SLR) of existing studies in the form of both news material and academic journals. It investigates the growing concern of over-tourism and the contribution of sustainable consumption grounded in strong political support. It also adopts a case study approach with specific reference to Macau.

The general overview of the literature provides evidence of an age-old concept that has re-emerged to make local residents’ voice more pronounced. Generally, the studies concentrate on understanding residents’ attitudes, the perceived impact of over-tourism, community resilience and sustainable strategies to tackle the problem. Most popular studies are recent (i.e. 2018 and beyond) and empirically set in developed cities of Europe.

The SLR used in the current study requires further empirical testing to validate some of the proposed concepts in the literature.

The study highlights the role of government in ensuring that sustainable consumption is sustainably implemented in the context of over-tourism.

Given the re-emergence of over-tourism, yet with few theoretical discussions on the concept, this study serves as a knowledge-base for future studies both empirically and theoretically.

This chapter explores in-depth the particularities of the luxury travel industry during the coronavirus pandemic. The chapter begins with a literature review on the concept of the experience referred to as luxury travel, followed by a brief overview of the measures adopted globally in the tourism sector for the prevention of COVID-19. Due to the impact of the crisis, high-net-worth individuals (HNWIs) have changed their motivations, preferences and behaviour. To meet the new demands prompted by the pandemic, the luxury travel industry has adopted a wide range of strategies that have been classified into three groups: (1) reducing new moments of friction; (2) experiencing protection and (3) building new memorable experiences. A selection of examples from the luxury travel industry illustrates each category. The chapter ends with a case study that describes the strategy adopted by Fiji to respond to the pandemic. The manner in which Fiji has tackled the pandemic may be inspiring for other tourism-dependent destinations as Fiji has been able to protect the health and safety of the inhabitants of its islands while preserving the local economy, which relies on tourism.

The purpose of this study is to investigate the sales-, rental- and sharing-focused business models for industrial markets by analysing interactions and environmental sustainability efforts within them.

Case studies are conducted at two world-leading manufacturing firms of complex industrial products. The analysis compares how interaction takes place in sales-, rental- and sharing-focused business models in industrial markets for high-technology products in connection with environmental sustainability outcomes.

The findings show the need for different interaction patterns in sales-, rental- and sharing-focused business models at firm, relationship and network levels. The implementation of sharing-focussed business models requires new interactions with actors within firms, between firms and key collaborators and in networks. The firms in our study have made a wide range of efforts to improve the environmental sustainability of their products. Sharing-focused business models have the potential to be environmentally sustainable if products can be shared among customers. However, under-usage of products and the increased need to transport them may reduce environmental sustainability.

This study reveals that although manufacturing firms and customers are willing to implement sharing-focused business models, there are obstacles to achieving the expected environmental sustainability associated with this business model. These are due to the high-technology nature and level of customisation of the associated firms’ products and services, which make it difficult to share resources across firms without advanced adaptations to products such as re-programming. This study contributes to the sharing-focused business model literature for the business-to-business context, by pointing to the pivotal role partnerships with new actors and closer collaboration with existing actors in supply chains can play in enabling sharing-focused business models in the future.

This paper aims to explore the effects of a surge in tourism short-term rentals (STR) on housing prices in municipalities within Portugal’s two largest Metropolitan Statistical Areas.

This study applies the difference-in-differences (DiD) methodology by using a feasible generalized least squares (FGLS) estimator in a seemingly unrelated regression (SUR) equation model.

The results show that the liberalization of STR had a significant impact on housing prices in municipalities where a higher percentage of housing was transferred to tourism. This transfer led to a leftward shift in the housing supply and a consequent increase in housing prices. These price increases are much higher than those found in previous studies on the same subject. The authors also found that municipalities with more STR had low housing elasticities, which indicates that adjustments to the transfer of real estate from housing to tourism were made by increasing house prices, and not by increasing supply quantities.

The study suggests that an unforeseen consequence of allowing property owners to transfer the use of real estate from housing to other services (namely, tourism) was extreme housing price increases due to inelastic housing supply.

This is the first time that the DiD methodology has been applied in real estate markets using FGLS in a SUR equation model and the authors show that it produces more precise estimates than the baseline OLS FE. The authors also find evidence of a supply shock provoked by STR.

Adopting Ajzen’s theory of planned behaviour theoretical framework, this paper aims to explore repurchase intentions among short-term rental users and changes in determinants of repurchase intention in the context of the COVID-19 pandemic.

Data for the research was collected via a cross-country quantitative survey (N = 1,433) in five European countries: Croatia, Italy, Spain, Turkey and the UK during 2020. Trust, perceived value, authenticity and perceived risk were incorporated into the structural equation model as part of an integrated analysis of antecedents of repurchase intention.

Perceived value and authenticity are the key drivers of a positive attitude to repurchase of short-term rentals even after the pandemic. The pandemic modified the role of perceived risk in determining attitude towards short-term rentals as perceived risks could negatively affect attitude and repurchase intention after COVID-19. Trust in the platform and the host became a significant determinant of repurchase intentions after the spread of COVID-19.

The analysis has shown the link between attitude, subjective norms, perceived behavioural control and repurchase intention, and has thus demonstrated a successful application of the theory of planned behaviour to short-term rental users.

The results of this study suggest a possible reconceptualisation of repurchase determinants due to the pandemic. The study offers a timely contribution to the research on the impact of the pandemic on the determinants of tourists’ repurchase intentions.

When evaluating a booking enquiry, hosts rely on peer-to-peer (P2P) accommodation platforms (P2PAP) to make an informed decision. Consequently, accepting or rejecting a booking is influenced by the capacity of the P2PAP to convey to hosts valuable information about guests. This study aims to explain hosts’ task performance in short-term rentals (e-rentals).

The proposed model explains hosts’ task performance in e-rentals as a combination of task-specific user capabilities and technology capabilities. The model was tested using the partial least square path modelling technique.

Task-specific user capabilities of covert observation and interrogation were found to have a positive influence on task performance. Moreover, a moderation effect of representation on the relationship between self-disclosure and task performance was found to be significant, yet contrary to the one hypothesized.

The findings from this study help to develop the concept of task-specific user capabilities in shaping task performance.

摘要

探究房东在电子租赁中的任务表现的前因

在评估预订查询时, 房东依靠 P2P 住宿平台 (P2PAP) 做出明智的决定。因此, 接受或拒绝预订受 P2PAP 向房东传达有关客人的有价值信息的能力的影响。本研究解释了房东在短期租赁（电子租赁）中的任务表现。

本研究的模型将房东在电子租赁中的任务表现解释为特定任务的用户能力和技术能力的组合。该模型使用偏最小二乘路径建模 (PLS-SEM) 技术进行了测试。

本研究发现隐蔽观察和询问的任务相关用户能力对任务表现有积极影响。此外, 研究发现自我表露和任务表现之间的关系被表现显著调节, 但与假设相反。

这项研究的结果有助于发展特定任务用户能力在塑造任务表现方面的概念。

Drawing from available literature and several case studies, this research aims to determine the criteria to be considered in shaping a framework regulating Airbnb. This paper will identify the regulatory frameworks of Airbnb from an international perspective and investigate the public perception on the criteria to be considered in shaping the framework regulating Airbnb. The criteria needed to be considered to regulate Airbnb are suggested accordingly.

A quantitative approach based on central tendency statistics was adopted in this research. Questionnaires were administered to the public to investigate the public's opinion on the criteria to be considered to regulate Airbnb. Finally, the criteria to be considered to regulate Airbnb will be determined. By using the mean analysis, this paper will tease out the ranking of the criteria that should be prioritized in shaping the Airbnb regulatory framework.

The results indicated that the criteria of “permits and safety” and “housing rules enforcement” outweigh the other “taxes” and “rule enforcement” criteria and shall be prioritized by the local authorities during the formation of Airbnb regulations in Malaysia.

This paper provides valuable pointers for policymakers before the expansion of Airbnb and before it becomes more difficult to regulate.

The application of short‐term forecasting techniques to the prediction of commercial rental values generates valuable information about the dynamics of rent movements. It also captures short‐run trends more effectively than do other forecasting procedures. Makes use of ARIMA models to provide one‐step‐ahead predictions. The results show that ARIMA models perform better in the case of retail and office sectors. The forecasts for these sectors are satisfactory. Retail rents bear a relationship to their past values, whereas office rents are influenced by shocks in the market – demand or supply driven. The results of the present study are useful for incorporation in more general models of rent forecasting. Also presents a full methodology which facilitates its application.

The purpose of this paper is to explore the attitudes of tourists toward digital marketing applications related to peer-to-peer short-term rental services within the sharing economy in the tourism sector. It aims to identify the factors that make Greek tourists to use these applications and to classify them into groups according to their attitudes toward these websites and to profile each group of tourists according to their personal and demographic characteristics and their preferences regarding their holidays/travel.

A primary survey was conducted in April 2018 for a random selected sample of Greek tourists. Principal component analysis was conducted to identify the main factors that affect tourists in using digital marketing application related to peer-to-peer short-term rental services within the sharing economy in the tourism sector. Cluster analysis was performed to classify tourists into groups according to their attitudes toward the use of these websites while discriminant analysis was conducted to check cluster predictability. Non-parametric tests, including the chi-square test, were performed to profile each strategic group according to their demographic characteristics and their preferences regarding their holidays/travel.

The study classified tourists into three groups, i.e. pioneers, convenience seekers and conscious, according to their attitudes toward the use of such applications.

The choice for the Greek context of the research is justified by the fact that Greece has suffered from recession in the last decade, but it is also a tourism-friendly country. The empirical results of this pioneer study should trigger further investigation. Although tourists’ behavior towards the adoption of digital marketing application related to peer-to-peer rental services within the sharing economy in the tourism sector might be culturally specific and the results are mainly applicable in the Greek market, they could be generalized in other countries with similar characteristics in both Greece and other parts with similar characteristics.

Tourists are extremely important both for developers and policy makers in tourism industry. For developers such information is important because the expectation of viable markets will motivate investments. For policy makers, this type of information will help them to respond more adequately through regulation tools and programs. From a practical perspective, the tourism operators may benefit from focusing on their differentiating features and aligning their marketing communication with their tourists’ aspirations by developing, optimizing and customizing their websites according to the needs of the customers and the extension of touristic activities to other sectors of tourism industry.

Visitors who choose Airbnb accommodations spend more days travelling; consequently, the market size of the tourism industry expands from the increase in the number of visitors.

The originality of the paper derives from the understanding of the tourists’ behavior toward the adoption of digital marketing applications related to peer-to-peer rental services within the sharing economy in the tourism sector. More specifically, it identifies the factors that make Greek tourists to use those applications, classifies them into groups according to their attitudes towards those websites and profiles each group of tourists according to their personal and demographic characteristics and their preferences regarding their holidays/travel.

The purpose of this paper is to re-establish the role of Airbnb platform in the contemporary tourism destination management. Given the fact that sharing economy is mega-trend with various impacts at any destination, the paper’s purpose is to underline that sharing economy platforms, such as Airbnb, has a different impact on each stage of destination’s life cycle. Given this, a more effective strategy and policies plan should be deployed and implemented, expanding the benefits of multiplying and accelerating effects on local economy.

The neologisms of “Over-tourism” and “Tourism-phobia” and the growing conflicts between locals and tourist, along with various collateral implications in local economy, were the initial incentive to focus on the subject. The methodology was based on the critical approach of regulatory measures taken in destinations with different characteristics.

Findings indicate that general and nationwide restrictions on Airbnb are often unfounded, mainly based on bias against its impact on traditional hotels and local lifestyle preservation, rather than concrete and objective impact measurements.

A primary qualitative and quantitative research should follow the concept of association between destination’s life cycle and sharing economy applications, for authorities to form the appropriate regulatory framework.

The paper associates the implications of sharing economy with the stages of destinations life cycle, underlying that measures need to be customized to the specific characteristics of each destination.