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Article
Publication date: 23 February 2024

Jiwoo Jung, Won Seok Lee and Joonho Moon

The purpose of this study is to identify individuals’ preferences for the information attributes of Airbnb, a representative peer-to-peer (P2P) accommodation platform. In the…

Abstract

Purpose

The purpose of this study is to identify individuals’ preferences for the information attributes of Airbnb, a representative peer-to-peer (P2P) accommodation platform. In the sharing economy, platforms are considered to be the principal intermediaries in supply and demand, and these platforms have distinctly different attributes from traditional accommodation reservation systems.

Design/methodology/approach

The present study used a choice experiment, which is a method for systematically identifying attributes’ preferences in the form of marginal willingness-to-pay (MWTP). Amazon Mechanical Turk, a crowdsourcing marketplace, was used for data collection, and 243 respondents ultimately participated in the survey.

Findings

Results showed that respondents’ choices were positively affected by the number of pictures of an accommodation, host experience, cancellation policy and local information but negatively affected by cost. Regarding MWTPs, host experience had the highest value (US$84.25), followed by cancellation policy (US$40), photos (US$26.67) and local information (US$10.92).

Originality/value

These study results could provide strategic guidance for guiding the development of P2P accommodation platforms by providing a prioritized list of preferred attributes for Airbnb.

研究目的

本研究旨在识别个人对Airbnb这一代表性P2P住宿平台信息属性的偏好。在共享经济中, 平台被视为供需的主要中介, 而这些平台与传统住宿预订系统有明显不同的属性。

研究方法

本研究采用选择实验法(CE), 这是一种系统地确定属性偏好的方法, 表现为边际支付意愿(MWTP)。数据采集使用了Amazon Mechanical Turk(MTurk), 最终有243名受访者参与了调查。

研究发现

结果显示, 受访者的选择受到住宿图片数量、房东经验、取消政策和本地信息的积极影响, 而受到价格的负面影响。关于边际支付意愿, 房东经验具有最高价值(84.25美元), 其次依次为取消政策(40美元)、照片(26.67美元)和本地信息(10.92美元)

研究创新

通过提供优先考虑的 Airbnb 偏好属性列表, 本研究结果可以为引导P2P住宿平台的发展提供战略指导.

Details

Journal of Hospitality and Tourism Technology, vol. 15 no. 2
Type: Research Article
ISSN: 1757-9880

Keywords

Expert briefing
Publication date: 22 January 2024

One controversial feature of these conditions is payment-related speculation in the contractual terms of labour platforms. Such practices are especially sensitive in the case of…

Details

DOI: 10.1108/OXAN-DB284697

ISSN: 2633-304X

Keywords

Geographic
Topical
Article
Publication date: 4 May 2023

Domenico Morrone, Annunziata Tarulli, Raffaele Silvestri and Savino Santovito

As Generation Z (Gen Z) represents one of the most important segments in the travel and tourism sector, the present work aims to analyse Gen Z's behaviour in a post-pandemic…

Abstract

Purpose

As Generation Z (Gen Z) represents one of the most important segments in the travel and tourism sector, the present work aims to analyse Gen Z's behaviour in a post-pandemic scenario. In particular, the present work deepens the factors that may influence future accommodation choices.

Design/methodology/approach

This study uses data from a web-based questionnaire targeting Italian tourists belonging to Generation Z, reaching 221 complete responses. After the statistical analysis of the sample, an exploratory factor analysis (EFA) was then carried out.

Findings

Data provided evidence about the main factors affecting Gen Z tourist choices. In particular, these young consumers are positively influenced by the information (especially from institutional and verifiable sources), more flexible purchase terms (e.g. full refund in case of cancellation due to contagion of the coronavirus disease 2019 (COVID-19) and digital payments) and structure features (e.g. cleanliness, sanitisation, digitalisation and sustainability).

Originality/value

This work attempts to contribute to the academic literature by looking at the tourism experience from Gen Z's perspective. From this angle, this work underlines the influence some factors exert on the final accommodation choice, especially in the presence of exogenous events. Moreover, as this study focusses on a post-pandemic scenario, the study seeks to provide valuable indications, both at the theoretical and managerial level, for the tourism sector to boost the sector's recovery and prepare the sector to face similar events.

Details

British Food Journal, vol. 126 no. 1
Type: Research Article
ISSN: 0007-070X

Keywords

Article
Publication date: 1 April 2024

Srikant Gupta, Pooja S. Kushwaha, Usha Badhera and Rajesh Kumar Singh

This study aims to explore the challenges faced by the tourism and hospitality industry following the COVID-19 pandemic and to propose effective strategies for recovery and…

Abstract

Purpose

This study aims to explore the challenges faced by the tourism and hospitality industry following the COVID-19 pandemic and to propose effective strategies for recovery and resilience of this sector.

Design/methodology/approach

The study analysed the challenges encountered by the tourism and hospitality industry post-pandemic and identified key strategies for overcoming these challenges. The study utilised the modified Delphi method to finalise the challenges and employed the Best-Worst Method (BWM) to rank these challenges. Additionally, solution strategies are ranked using the Criteria Importance Through Intercriteria Correlation (CRITIC) method.

Findings

The study identified significant challenges faced by the tourism and hospitality industry, highlighting the lack of health and hygiene facilities as the foremost concern, followed by increased operational costs. Moreover, it revealed that attracting millennial travellers emerged as the top priority strategy to mitigate the impact of COVID-19 on this industry.

Originality/value

This research contributes to understanding the challenges faced by the tourism and hospitality industry in the wake of the COVID-19 pandemic. It offers valuable insights into practical strategies for recovery. The findings provide beneficial recommendations for policymakers aiming to revive and support these industries.

Details

Benchmarking: An International Journal, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1463-5771

Keywords

Expert briefing
Publication date: 25 January 2024

However, the hearing was immediately adjourned until March 6, while Koroma travels to Nigeria, officially on medical grounds. The cases against twelve other individuals for their…

Details

DOI: 10.1108/OXAN-DB284791

ISSN: 2633-304X

Keywords

Geographic
Topical
Article
Publication date: 20 November 2023

Bohao Ma, Jessica Limierta, Chee-Chong Teo and Yiik Diew Wong

The study proposes an evaluation model that allows quantitative characterization of the effects of service quality on consumer’s satisfaction for online food delivery (OFD…

Abstract

Purpose

The study proposes an evaluation model that allows quantitative characterization of the effects of service quality on consumer’s satisfaction for online food delivery (OFD) services in a nonlinear manner. As such, the authors endeavor to bridge the research-to-practice gaps whereby the effect magnitudes and nonlinear patterns of service quality have been overlooked in the current literature.

Design/methodology/approach

The quantitative Kano method is adopted. A Kano questionnaire was first developed by synthesizing and operationalizing existing evidence on OFD service qualities. The questionnaire solicited consumers’ evaluations of 21 OFD service attributes, and it was distributed to an online panel in Singapore. With 580 valid responses, the functions that quantitatively depict effects of each attribute on consumer’s satisfaction were subsequently derived.

Findings

The results reveal that among Singaporean consumers, food quality, reliability of delivery, responsiveness of customer support, ease-of-use of digital interfaces and promotions are pivotal attributes contributing to above-average satisfaction improvement across all performance levels. Meanwhile, delivery riders’ attitudes and real-time tracking functions emerge as substantial contributors to satisfaction at high-performance levels.

Practical implications

The findings provide crucial insights for OFD practitioners in Singapore in resource prioritization and service optimization. This study demonstrated the importance of streamlining customer support services and focusing on the utilitarian aspects of OFD services. Moreover, these results can be employed in advanced service improvement procedures, providing a roadmap for future OFD service enhancements.

Originality/value

This study pioneers the development of a quantitative quality evaluation model in the OFD context. With the established quantitative Kano model, the study addresses the omission of effect magnitudes and nonlinear patterns of service quality. It highlights the transition from a binary “does it affect satisfaction” to a more nuanced “how much does it affect satisfaction” approach, offering a robust understanding of consumer’s satisfaction dynamics.

Details

British Food Journal, vol. 126 no. 2
Type: Research Article
ISSN: 0007-070X

Keywords

Article
Publication date: 28 February 2023

Swechchha Subedi and Marketa Kubickova

The study has two objectives, first, to examine the effect of COVID-19 deaths and corruption on the government's policy responses, and second, to investigate the effect of…

Abstract

Purpose

The study has two objectives, first, to examine the effect of COVID-19 deaths and corruption on the government's policy responses, and second, to investigate the effect of COVID-19, corruption and government response on hotel performance, using the developmental system's framework of resilience theory.

Design/methodology/approach

The study utilizes hotel data from ten countries collected from 1st March 2020 to 28th February 2021. The data are analyzed using the panel regression analysis in E-views.

Findings

The study confirms that government policies direct impact the hotel performance. Specifically, economic support policies have a positive effect on hotel performance, while COVID-19 deaths and restrictions have a negative impact on hotels. The study also found a strong association between corruption and the level of restrictions that governments choose to implement. Therefore, for effective recovery, governments must be mindful of the context in which businesses operate and the effect of their policies on the hotel industry.

Practical implications

The strong correlation between COVID-19 deaths and RevPAR highlights the significance of understanding and addressing customers' risk perception to enhance the resilience of the hotel industry. The findings emphasize the importance of collaboration between the hotel industry and the government for effective crisis management and policymaking.

Originality/value

This study empirically examines how various policy responses and crisis levels impact hotel performance. It sheds light on why countries respond to crises differently and the effects of different policy responses on the hotel industry. The study has many implications for the industry stakeholders and policymakers.

Details

Journal of Hospitality and Tourism Insights, vol. 7 no. 1
Type: Research Article
ISSN: 2514-9792

Keywords

Article
Publication date: 6 February 2024

Alireza Goudarzian and Rohallah Pourbagher

Conventional isolated dc–dc converters offer an efficient solution for performing voltage conversion with a large improved voltage gain. However, the small-signal analysis of…

15

Abstract

Purpose

Conventional isolated dc–dc converters offer an efficient solution for performing voltage conversion with a large improved voltage gain. However, the small-signal analysis of these converters shows that a right-half-plane (RHP) zero appears in their control-to-output transfer function, exhibiting a nonminimum-phase stability. This RHP zero can limit the frequency response and dynamic specifications of the converters; therefore, the output voltage response is sluggish. To overcome these problems, the purpose of this study is to analyze, model and design a new isolated forward single-ended primary-inductor converter (IFSEPIC) through RHP zero alleviation.

Design/methodology/approach

At first, the normal operation of the suggested IFSEPIC is studied. Then, its average model and control-to-output transfer function are derived. Based on the obtained model and Routh–Hurwitz criterion, the components are suitably designed for the proposed IFSEPIC, such that the derived dynamic model can eliminate the RHP zero.

Findings

The advantages of the proposed IFSEPIC can be summarized as: This converter can provide conditions to achieve fast dynamic behavior and minimum-phase stability, owing to the RHP zero cancellation; with respect to conventional isolated converters, a larger gain can be realized using the proposed topology; thus, it is possible to attain a smaller operating duty cycle; for conventional isolated converters, transformer core saturation is a major concern, owing to a large magnetizing current. However, the average value of the magnetizing current becomes zero for the proposed IFSEPIC, thereby avoiding core saturation, particularly at high frequencies; and the input current of the proposed converter is continuous, reducing input current ripple.

Originality/value

The key benefits of the proposed IFSEPIC are shown via comparisons. To validate the design method and theoretical findings, a practical implementation is presented.

Details

Circuit World, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0305-6120

Keywords

Book part
Publication date: 18 January 2024

Satyadev Rosunee and Roshan Unmar

Manufacturing in Mauritius is mostly export-oriented. Any supply chain (SC) failure or resilience deficit may result in cancellation of orders and loss of customers, market share…

Abstract

Manufacturing in Mauritius is mostly export-oriented. Any supply chain (SC) failure or resilience deficit may result in cancellation of orders and loss of customers, market share and revenue and reduce capability to compete globally. Addressing this challenge is complex, although digital technologies and artificial intelligence (AI) models can improve resilience by assisting decision-making and mitigate risks, thus infusing greater predictability across the SC.

Supply chains are facing increasing disruptions and uncertainties owing to extreme weather events, the war in Ukraine, market volatility and the ongoing COVID-19 pandemic, among other factors. Manufacturing industries and their supply chains essentially create thousands of jobs that enable economic growth and sustain export capability. In addition, they need to maintain or increase both productivity and efficiency and recover quickly from unforeseen or unexpected challenges – that is they need to be resilient. Transformation initiatives, whether in production or supply chain management (SCM), are never easy. Process changes not supported by data or hurried human decisions can sometimes have unintended consequences, mainly adverse. However, in times of greater uncertainty (war and pandemic), setbacks can have greater consequences on the business. Manufacturers are already apprehensive and report slowing exports as recession concerns have caused consumers and businesses to pull back on spending. There is therefore a need to reduce uncertainty and augment resilience by unlocking and synthesising insights that emanate from the power of data analytics, AI and machine learning to improve the resilience efficiency balance.

This chapter will discuss the opportunities arising from the adoption and implementation of digital technologies and AI in SCM, leading to better value creation, less greenhouse gas emissions and resilience. The hurdles that enterprises are facing to integrate AI in their logistics and SCs will also be highlighted. This work comments on initiatives that uphold the objectives of SDG 8 – decent work and economic growth, SDG 9 – industry, innovation & infrastructure and SDG 13 – climate action.

Details

Artificial Intelligence, Engineering Systems and Sustainable Development
Type: Book
ISBN: 978-1-83753-540-8

Keywords

Article
Publication date: 21 June 2023

Merve Aydogan, Javier de Esteban Curiel, Arta Antonovica and Gurel Cetin

COVID-19, like many previous crises, proved once more that some hospitality and tourism organizations are more crises resilient than others. Despite increasing frequency and…

Abstract

Purpose

COVID-19, like many previous crises, proved once more that some hospitality and tourism organizations are more crises resilient than others. Despite increasing frequency and magnitude of crises, little is known about the features of crises resilient organizations and mitigation strategies they adopt. If the characteristics of such resiliency are identified, those strengths might be targeted. Hence, the purpose of this study is to identify characteristics of crises resilient organizations by analyzing the interface between different organizational characteristics, recovery strategies they adopted and impacts of COVID-19 on individual hospitality and tourism organizations.

Design/methodology/approach

A global sample of 202 respondents from 20 countries and four continents, representing different sectors of the hospitality and tourism industry, participated in the survey. Descriptive analysis and cluster analysis were used to rank the items and group hospitality and tourism organizations based on their crises resiliency.

Findings

Service quality, loyal customers, branding, high paid in capital, domestic market base, hygiene and safety image, information and communication technology adoption, product and market diversification and restructuring debts emerged as major characteristics and strategies of crises resilient organizations. Using cluster analysis, four different groups of organizations were identified. Based on the impacts of COVID-19 on these organizations, Cluster-1 emerged as significantly more crises resilient, whereas Cluster-4 organizations were significantly more vulnerable to crises. Their characteristics and mitigation strategies they adopted were discussed.

Research limitations/implications

The paper not only identified features of crises resilient organizations and successful mitigation strategies but also measured their impact on various performance indicators. Future studies might use characteristics, mitigation strategies and performance indicators identified in this study.

Practical implications

Based on the findings, tourism organizations would focus on strengthening characteristics and implementing strategies that make crises resilient organizations. Public bodies and destination management would also set their decision criteria based on these findings to create a more resilient tourism industry.

Originality/value

This research not only identifies how hospitality and tourism organizations are affected by COVID-19 but also how these impacts change based on different organizational characteristics and strategies. Understanding which organizational characteristics affect the crises vulnerability of hospitality and tourism organizations might inform risk and crises management literature and structural design elements in tourism businesses, hence offer both theoretical and practical implications.

Details

International Journal of Contemporary Hospitality Management, vol. 36 no. 4
Type: Research Article
ISSN: 0959-6119

Keywords

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