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This paper aims to empirically analyze tourists' length of stay in Istanbul, an important cultural destination. The objective of the study is twofold: (1) uncovering the qualitative difference between one-night visitors and longer stay visitors and (2) for those visitors staying longer at the tourism destination, investigating the key determinants of length of stay.

This research was carried out using a self-administered questionnaire distributed to international tourists who were about to leave the destination. To perform the analysis, we applied a two-step approach: first, we opted for classical binary logit to investigate the tourists' group membership (one-night vs longer stays); second, we applied a zero-truncated Poisson model for uncovering the drivers of length of stay for longer stay visitors.

The results confirmed the structural difference between the two visitor subgroups. Moreover, we found a positive impact of cultural attributes on tourists' length of stay.

The findings provide useful information for destination managers and planners, highlighting the importance of designing different tourism policies in light of tourists' heterogeneity. Moreover, the results confirmed the importance of the preservation and promotion of cultural attributes, given that these are a key factor in determining the success of a destination.

The importance and originality of this study are that it explores the impact of cultural/heritage attributes of the destination on tourists' length of stay. Moreover, it sheds light on the qualitative difference between short- and long-stay visitors.

This study aims to examine how dynamic pricing impacts customer perceptions of restaurants and sentiment toward prices via online reputation metrics. In addition, to deepen the debate on dynamic pricing, a novel definition is drawn by exploring the specific forms of discrimination that can manifest in different industries.

Leveraging a comprehensive data set of restaurant reviews sourced from TripAdvisor, the study focuses on restaurants affiliated with one of the largest groups of restaurants in Spain. We used a quasi-experimental method (difference-in-differences), to study how dynamic pricing strategies influence customers’ perceptions of value based on numerical ratings. Meanwhile, we used a Bidirectional Encoder Representations from Transformers model on the textual component of reviews to dissect the emotional nuances of dynamic pricing.

Results did not reveal a causal impact of dynamic pricing strategies on customers’ perceptions. Moreover, the sentiment analysis shows no heightened negative view after introducing dynamic pricing in restaurants compared to the control group. Contrary to what previous literature suggests, our findings indicate that implementing dynamic pricing does not adversely affect customers’ perceptions or sentiments regarding prices in restaurants.

The quasi-experimental setting of the study presents inherent challenges in establishing causality that require further investigation using controlled experimental settings. Nevertheless, our study reveals that restaurant customers do not perceive dynamic pricing as unfair. This finding is critical for restaurant managers when considering the implementation of dynamic pricing and revenue management strategies. In addition, our study highlights the importance of considering not only numerical ratings but customer sentiment analysis as well. This more holistic approach to assessing the impact of pricing strategies can give restaurant managers a deeper understanding of customer reactions. In addition, a more rigorous definition of dynamic pricing is provided, clarifying its nature and its distinction in using different price discrimination.

This study contributes to the evolving understanding of dynamic pricing strategies’ impact on customers’ perceptions and sentiments in the restaurant industry. It aims to fill the gap in understanding customer reactions to algorithmically determined prices (via revenue management systems such as DynamEat) in this industry. The combination of causal inference and sentiment analysis offers a novel perspective, shedding light on the nuanced connections between dynamic pricing implementation and customers’ emotions.

本研究考察动态定价如何通过在线声誉指标影响顾客对餐厅的感知和对价格的情绪。此外, 为了深化对动态定价的讨论, 通过探索不同行业中可能表现出的具体歧视形式, 提出了一个新的定义。

利用从TripAdvisor获取的餐厅评论的全面数据集, 研究聚焦于与西班牙最大的餐厅集团之一相关联的餐厅。我们采用了准实验方法（差异中的差异）, 研究动态定价策略如何根据数值评分影响顾客对价值的感知。同时, 我们运用BERT模型对评论的文本成分进行分析, 以解析动态定价的情感细微差别。

结果没有揭示动态定价策略对顾客感知产生因果影响。此外, 情绪分析显示, 在餐厅引入动态定价后, 与对照组相比, 没有增加消极观点。与以往文献所述相反, 我们的发现表明, 实施动态定价并不会对顾客对价格的感知或情绪产生负面影响。

研究的准实验设置存在确立因果关系的固有挑战, 需要通过控制实验设置进一步调查。尽管如此, 我们的研究揭示了餐厅顾客不认为动态定价不公平。这一发现对餐厅经理在考虑实施动态定价和收入管理策略时至关重要。此外, 我们的研究强调, 考虑顾客情绪分析和数值评分的重要性。这种更全面的方法评估定价策略的影响, 可以让餐厅经理更深入地理解顾客反应。此外, 提供了一个更严格的动态定价定义, 澄清了其性质及其在使用不同价格歧视中的区别。

本研究对于理解动态定价策略对餐厅行业顾客感知和情绪影响的不断发展有所贡献。它旨在填补对客户对算法确定的价格（通过收入管理系统（RMS）例如DynamEat）在此行业中反应的理解空白。因果推断与情绪分析的结合提供了新的视角, 揭示了动态定价实施与顾客情绪之间微妙的联系。

Este estudio examina cómo la fijación dinámica de precios impacta en las percepciones de los clientes de los restaurantes y en el sentimiento hacia los precios a través de métricas de reputación en línea. Además, para profundizar en el debate sobre la fijación dinámica de precios, se propone una definición novedosa explorando las formas específicas de discriminación que pueden manifestarse en diferentes industrias.

Utilizando un conjunto de datos exhaustivo de reseñas de restaurantes obtenidas de TripAdvisor, el estudio se centra en los restaurantes afiliados a uno de los mayores grupos de restaurantes en España. Empleamos un método cuasiexperimental (diferencias en diferencias) para estudiar cómo las estrategias de precios dinámicos influyen en las percepciones de valor de los clientes basándonos en las calificaciones numéricas. Mientras tanto, empleamos un modelo BERT en el componente textual de las reseñas para desentrañar los matices emocionales de la fijación dinámica de precios.

Los resultados no revelaron un impacto causal de las estrategias de precios dinámicos en las percepciones de los clientes. Además, el análisis de sentimiento no muestra una visión negativa aumentada después de introducir la fijación dinámica de precios en los restaurantes en comparación con el grupo de control. Contrariamente a lo que sugiere la literatura previa, nuestros hallazgos indican que la implementación de precios dinámicos no afecta negativamente las percepciones o los sentimientos de los clientes respecto a los precios en los restaurantes.

La configuración cuasiexperimental del estudio presenta desafíos inherentes para establecer la causalidad que requieren una investigación más profunda utilizando entornos experimentales controlados. Sin embargo, nuestro estudio revela que los clientes de restaurantes no perciben la fijación de precios dinámica como injusta. Este hallazgo es crítico para los gerentes de restaurantes al considerar la implementación de la fijación de precios dinámica y estrategias de gestión de ingresos. Además, nuestro estudio resalta la importancia de considerar no solo las calificaciones numéricas sino también el análisis del sentimiento del cliente. Este enfoque más holístico para evaluar el impacto de las estrategias de precios puede dar a los gerentes de restaurantes una comprensión más profunda de las reacciones de los clientes. Además, se proporciona una definición de fijación de precios dinámica más rigurosa, aclarando su naturaleza y su distinción en el uso de diferentes discriminaciones de precios.

Este estudio contribuye a la comprensión en evolución del impacto de las estrategias de fijación de precios dinámicos en las percepciones y sentimientos de los clientes en la industria restaurantera. Su objetivo es llenar el vacío en la comprensión de las reacciones de los clientes a los precios determinados algorítmicamente (a través de sistemas de gestión de ingresos (RMS) como DynamEat) en esta industria. La combinación de inferencia causal y análisis de sentimientos ofrece una perspectiva novedosa, arrojando luz sobre las conexiones matizadas entre la implementación de la fijación de precios dinámicos y las emociones de los clientes.

We challenge the conventional approach to distinguish between professional and non-professional Airbnb hosts by solely using the number of managed listings.

We leverage the recently released platform policy that categorizes hosts' professionalism by their self-declared status. Our multinomial modeling approach predicts true host status, factoring in the number of managed listings and controlling for listing and host traits. We employ data from five major European cities collected through scraping the Airbnb webpage.

Our research reveals that relying solely on the number of listings managed falls short of accurately predicting the host type, leading to difficulties in evaluating the platform's impact on the local housing market and reducing the effectiveness of policy intervention. Moreover, we advocate using more fine-grained measures to differentiate further between semi-professional and professional hosts who exhibit heterogeneous economic behaviors.

Reliable professionalism metrics are essential to curb unethical practices, promote market transparency and ensure a level playing field for all market participants.

This work pioneers the revelation of the inadequacy of a commonly used measure for predicting host professionalism accurately.

This paper aims to identify the key drivers of occupancy rates in peer-to-peer accommodation.

The applied methodology fits the specific characteristics of this market segment: the peculiar distribution of the occupancy rate (a ratio characterised by a large share of zeros) requires the adoption of a mixed discrete-continuous model; the insidious issue of price endogeneity is dealt with a control function approach; the econometric specification takes into account the monopolistic competition, the relevant market regime in the hospitality industry. The model is tested on Airbnb listings in the Balearic Islands (Spain).

The occupancy rate of peer-to-peer properties in the Balearic Islands strongly depends on their geographical location and online reputation. There is a qualitative difference between two groups: listings with positive occupancy rates, which demand tends to be inelastic, and listings with zero occupancy. The authors found that the price is a not a statistically significant determinant of the latter group membership.

This paper applies a zero-inflated beta model, never used in previous analyses of occupancy rates, to provide a benchmark for future studies. This procedure allows the estimation of unbiased marginal effects. It, thus, offers important technical and managerial implications, as a wrong understanding of how occupancy depends on price would deliver ineffective managerial decisions. This paper highlights the importance of methodological choices, as coefficients are highly sensitive to misspecifications of the model.

This study aims to examine the effect of enterprise risk management (ERM) on financial performance and firm value, as well as the moderating role of environmental, social and governance (ESG) performance.

The samples in this study are listed companies in the ASEAN 5 (Indonesia, Malaysia, Philippines, Singapore and Thailand) during the years 2014–2018, with total observations of 680 firm-years. Fixed effect panel data regressions were used to test the hypotheses. The data was collected from Financial Report, Annual Reports and Thomson Reuters.

The results show that ERM has a positive significant effect on financial performance and firm value. This paper also finds that ESG has a significant moderating role in increasing the effect of ERM on firm value. Further, this paper divides the samples into sensitive and non-sensitive industries and find a significant moderating role of ESG performance on firm performance for sensitive industries.

Extant studies have not empirically examined the moderating role of ESG on the effect of ERM on firm performance and firm value. The findings have important implications in suggesting that firms need to analyze various threats and opportunities related to and ESG risks in achieving competitive advantage.

The purpose of this research is to explore the employer and employee perspectives about the employability skills of skilful jobs. The research is conducted in a developing country (Palestine) which has a high percentage of university graduates, high unemployment rate and intense job competition. This paper defines skilful jobs as those that require employees who have attended a college or university and have completed a two-year diploma or a four-year degree.

This research integrates the components of discussion with local experts in the skilled labour market, primary data from employers (N = 415) and primary data from employees (N = 880). Binary logistic regression is used to measure the relationship between the dependent variable (likelihood of hire or not hire) and independent variables (job applicants' hard and soft skills).

The results from both employer and employee data revealed that the previous work experience, computer skills, professional certifications and high grade point average have significant impact on hiring and recruitment in the skilful jobs. In addition to these, the employers seek applicants who have communication skills. However, the employees consider personal relationship with employers to be a highly significant factor in accepting job offers.

To increase their likelihood of obtaining a skilful job, and then sustaining it, the job seekers should hone their soft skills and acquire professional certifications. The universities should adapt their curriculum to match these skills and move their focus from disciplinary knowledge to competencies. The public policy makers should design awareness and capacity building programmes that will facilitate the recent graduates' integration into the labour market. The empirical model in this study shows that previous work experience is the most important recruitment factor for employers – accordingly, creating internships and apprenticeship opportunities would be its clear policy implication.

The study contributes to the literature by providing a parsimonious employability model of skilful jobs, which fits as much as possible the perspectives of the employers and employees about the employability skills in a developing country.

This paper aims to trace subsequent steps of the sustainability reporting evolution in terms of changes in the organisation fields and professional jurisdictions involved. As such, it highlights the (interrelated) organisational and professional challenges associated with the progressive incorporation of “sustainability” within corporate reporting.

The paper draws on Suddaby and Viale’s (2011) theorisation of how professionals reshape organisational fields to highlight how organisational spaces, actors, rules and professional capital evolve alongside the incorporation of sustainability within corporate reporting.

The paper shows organisational spaces, actors, rules and professional capital mobilised during the recent evolution of sustainability reporting, starting from a period in which there was no space for sustainability, to more recent periods in which sustainability gained increasing momentum beyond initial niches, and culminating in more integrated forms of sustainability reporting.

Although the analysis is limited to empirical evidence collected by prior research and practice on sustainability reporting, the paper offers a view to imagine how the incorporation of sustainability within corporate reporting relies on and affects organisational fields and professional jurisdictions.

The paper offers a lens to interpret corporate and professional challenges associated with the more recent evolutions of sustainability reporting practice and standard setting. It also allows framing the papers accepted in the special issue on “new challenges in sustainability reporting” and concludes by suggesting an agenda for future research.

The literature has acknowledged the importance of diaspora studies because of the influx of funds into the local economy, including the tourism and hospitality sector. However, little empirical research appears to be known about the subject matter, principally within the developing country perspective. This study aims to respond to research calls by investigating the impact of diasporic cultural heritage, family heritage on travel preference of West African Indian migrant visitors to their homeland.

This research is guided by the theory of acculturation. A quantitative data were gathered from a sample of 312 diasporas, and the regression analysis was used to analyze the data.

The study finds that cultural heritage and family heritage have positive and significant impact on travel preference of migrant visitors to their homeland. Further analysis of the independent sample t-test reveals a significant difference between Indian Ghanaians and Ghanaian Indians in their thought of cultural heritage. However, no significant differences were found in the Indian Ghanaian and Ghanaian Indian’s family heritage and travel preference to their homeland.

This study is destination-specific of Indian migrant visitors. The application of the study’s outcome to other diaspora would demand a larger sample size for generalization to be made. The study offers compelling insights on cultural heritage, family heritage and travel preference to marketing a diaspora tourism site.

The study expands the application of the theory of acculturation within the diaspora literature and establishes that integration and separation strategies of the theory explain the positive interests of the migrant visitors’ traveling preference to their homeland.