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The purpose of this study is to reveal the dynamics of house prices and sales in spatial and temporal dimensions across British regions.

This paper incorporates two empirical approaches to describe the behaviour of property prices across British regions. The models are applied to two different data sets. The first empirical approach is to apply the price diffusion model proposed by Holly et al. (2011) to the UK house price index data set. The second empirical approach is to apply a bivariate global vector autoregression model without a time trend to house prices and transaction volumes retrieved from the nationwide building society.

Identifying shocks to London house prices in the GVAR model, based on the generalized impulse response functions framework, I find some heterogeneity in responses to house price changes; for example, South East England responds stronger than the remaining provincial regions. The main pattern detected in responses and characteristic for each region is the fairly rapid fading of the shock. The spatial-temporal diffusion model demonstrates the presence of a ripple effect: a shock emanating from London is dispersed contemporaneously and spatially to other regions, affecting prices in nondominant regions with a delay.

The main contribution of this work is the betterment in understanding how house price changes move across regions and time within a UK context.

A cross-domain intelligent software-defined network (SDN) routing method based on a proposed multiagent deep reinforcement learning (MDRL) method is developed.

First, the network is divided into multiple subdomains managed by multiple local controllers, and the state information of each subdomain is flexibly obtained by the designed SDN multithreaded network measurement mechanism. Then, a cooperative communication module is designed to realize message transmission and message synchronization between the root and local controllers, and socket technology is used to ensure the reliability and stability of message transmission between multiple controllers to acquire global network state information in real time. Finally, after the optimal intradomain and interdomain routing paths are adaptively generated by the agents in the root and local controllers, a network traffic state prediction mechanism is designed to improve awareness of the cross-domain intelligent routing method and enable the generation of the optimal routing paths in the global network in real time.

Experimental results show that the proposed cross-domain intelligent routing method can significantly improve the network throughput and reduce the network delay and packet loss rate compared to those of the Dijkstra and open shortest path first (OSPF) routing methods.

Message transmission and message synchronization for multicontroller interdomain routing in SDN have long adaptation times and slow convergence speeds, coupled with the shortcomings of traditional interdomain routing methods, such as cumbersome configuration and inflexible acquisition of network state information. These drawbacks make it difficult to obtain global state information about the network, and the optimal routing decision cannot be made in real time, affecting network performance. This paper proposes a cross-domain intelligent SDN routing method based on a proposed MDRL method. First, the network is divided into multiple subdomains managed by multiple local controllers, and the state information of each subdomain is flexibly obtained by the designed SDN multithreaded network measurement mechanism. Then, a cooperative communication module is designed to realize message transmission and message synchronization between root and local controllers, and socket technology is used to ensure the reliability and stability of message transmission between multiple controllers to realize the real-time acquisition of global network state information. Finally, after the optimal intradomain and interdomain routing paths are adaptively generated by the agents in the root and local controllers, a prediction mechanism for the network traffic state is designed to improve awareness of the cross-domain intelligent routing method and enable the generation of the optimal routing paths in the global network in real time. Experimental results show that the proposed cross-domain intelligent routing method can significantly improve the network throughput and reduce the network delay and packet loss rate compared to those of the Dijkstra and OSPF routing methods.

Based on a review of the Chinese ethic of bao (reciprocity), this paper aims to study the issue of reciprocity of trust at firm level by analyzing multiple-source data while controlling for the effects of several contextual variables.

The authors collected data from the supplier–buyer partnerships in China’s automotive industry. Hierarchical linear regression approach is adopted to test the hypotheses.

The data show that reciprocity of trust between parties involved has a significantly positive effect on the stability of the supplier–buyer partnership, and that this reciprocity also moderates the relationship between trust itself and stability. In addition, several contextual variables, i.e. the suppliers’ sensitiveness to their buyer’s need, personal contact of top managers, motivation to develop symbiotic partnership and firm location, can also have significant and positive effects on the stability of the supplier–buyer partnership.

This study presents empirical evidence on how the Chinese ethic of bao may influence the stability of the supplier–buyer partnerships, suggesting that examining this Chinese cultural element is a useful exercise. Related to this issue, the data show that the level of trust between the parties in business transactions differs, and that this difference influences the stability of the partnership. In addition, the study suggests that several other factors have significant and positive effects on the stability of the partnership. Interestingly, the data suggest that these effects are more likely to be observed when the reciprocity of trust or bao between the partners is taken into account. By demonstrating empirically the significant direct and moderating effect of bao or reciprocal trust, this study makes an important contribution to the literature on trust and the stability of the supplier–buyer partnership.

The Arab world has witnessed a remarkable surge in the growth of its tourism and hospitality (T&H) industry, positioning it as a vital cornerstone for sustainable development. However, an exclusive bibliometric analysis of T&H research contributed by the Arab world has not yet been conducted in the past 30 years, that is, 1993–2022. Therefore, the purpose of this study is to provide a first-of-its-kind bibliometric assessment and visualization of T&H research produced by the Arab world spanning from 1993 to 2022.

A comprehensive collection of 1,327 scientific publications related to T&H research contributed by the Arab world was acquired from the Web of Science Core Collection database. To perform a large-scale bibliometric analysis, encompassing performance analysis, science mapping and network analysis, this study used state-of-the-art analytical tools, namely, Bibliometrix package of R Studio and VOSviewer.

The findings of this study show that the Arab world’s research on T&H has significantly surged since COVID-19, contributing nearly half (50.56%) of the total literature in the T&H domain between 2020 and 2022. Elshaer IA (Suez Canal University, Egypt) emerged as the most productive author, while Nusair K (Sultan Qaboos University, Oman) was identified as the most impactful author in the T&H domain in the Arab world. The most productive journal was found to be Sustainability (MDPI), while Tourism Management (Elsevier) was identified as the most impactful journal in the field of T&H. Furthermore, the thematic analysis highlights that research themes in T&H are not static but rather constantly evolving in response to dynamic changes in the industry, such as emerging trends, shifts in tourist preferences and the impact of global events like the COVID-19 pandemic.

To the best of the authors’ knowledge, this is the first bibliometric analysis of T&H research contributed by the Arab world, specifically covering the period from 1993 to 2022. This study's findings can inform the development of strategies and policies for the sustainable and competitive growth of the T&H industry in the Arab world. This study highlights the importance of continued research and collaboration among industry professionals, academics and policymakers to promote innovation and drive positive change in the T&H sector in the Arab world.

阿拉伯世界已经目睹了其旅游和酒店（T&H）行业增长的显著激增, 将其定位为可持续发展的重要基石。然而, 在过去30年中, 即1993年至2022年, 尚未进行关于阿拉伯世界贡献的T&H研究的专属文献计量分析。因此, 这项研究代表了提供阿拉伯世界自1993年至2022年间T&H研究的首创性文献计量评估和可视化的先驱努力。

从Web of Science核心合集数据库收集了1327篇与阿拉伯世界贡献的T&H研究相关的科研论文。为进行大规模的计量分析, 包括性能分析、科学映射和网络分析, 我们采用了先进的分析工具, 即R Studio的Bibliometrix软件包和VOSviewer。

研究结果显示, 自COVID-19以来, 阿拉伯世界对T&H的研究显著增加, 占2020年至2022年期间发表文献总数的近一半（50.56%）。关键词分析揭示了阿拉伯世界T&H领域的当前研究热点, 包括“旅游”、 “影响”、“满意度”、“管理”、“酒店业”、“绩效”、“决定因素”、“感知”、“忠诚度”、“质量”和“顾客满意度”。然而, 阿拉伯世界的T&H学者和从业者需要进一步研究一些研究空白, 包括“器官移植旅游”、“伦理领导”、“消费者感知”、“生态足迹”、“员工参与”、“爱彼迎”、“目的地营销”、“顾客不文明行为”、“可持续旅游发展”和“环境可持续性”等主题。主题分析突显了T&H领域的研究主题不断随行业动态变化而不断演化, 如新兴趋势、游客偏好变化以及全球事件如COVID-19大流行的影响。

据我们所知, 这是首次对阿拉伯世界贡献的T&H研究进行的计量分析, 特别涵盖了1993年至2022年的时期。研究结果可为阿拉伯世界T&H行业可持续和竞争性增长的战略和政策提供信息。这项研究强调了继续研究和行业专业人员、学者和政策制定者之间的合作的重要性, 以促进创新并推动阿拉伯世界T&H行业的积极变革。

El mundo árabe ha presenciado un notable aumento en el crecimiento de su industria de turismo y hostelería (T&H), posicionándola como una piedra angular vital para el desarrollo sostenible. Sin embargo, aún no se ha realizado un análisis bibliométrico exclusivo de la investigación en T&H realizada por el mundo árabe en los últimos 30 años, es decir, de 1993 a 2022. Por lo tanto, este estudio se erige como el esfuerzo pionero en proporcionar una evaluación bibliométrica y visualización sin precedentes de la investigación en T&H producida por el mundo árabe desde 1993 hasta 2022.

Se recogieron 1327 publicaciones científicas relativas a la investigación en T&H elaboradas por el mundo árabe, a partir de la base de datos Web of Science Core Collection. Para llevar a cabo un análisis bibliométrico a gran escala que abarcara el análisis de rendimiento, el mapeo científico y el análisis de redes, se emplearon herramientas analíticas de última generación, como el paquete Bibliometrix de R Studio y VOSviewer.

Los resultados muestran que la investigación del mundo árabe en T&H ha aumentado significativamente desde la COVID-19, representando casi la mitad (50.56%) de la literatura total publicada entre 2020 y 2022. El análisis de palabras clave reveló que “turismo,” “impacto,” “satisfacción,” “gestion,” “hospitalidad,” “rendimiento,” “determinantes,” “percepción,” “lealtad,” “calidad” y “satisfacción del cliente” son los temas de investigación actuales más destacados en T&H en el mundo árabe. Sin embargo, existen varias lagunas de investigación que requieren una investigación adicional por parte de académicos y profesionales de T&H en el mundo árabe, incluyendo temas como “turismo de trasplante,” “liderazgo ético,” “percepción del consumidor,” “huella ecológica,” “compromiso de los empleados,” “Airbnb,” “marketing de destinos,” “incivilidad del cliente,” “desarrollo de turismo sostenible,” y “sostenibilidad ambiental.” El análisis temático destaca que los temas de investigación en T&H evolucionan constantemente en respuesta a cambios dinámicos en la industria, como tendencias emergentes, cambios en las preferencias de los turistas y el impacto de eventos globales como la pandemia de COVID-19.

Hasta dónde llega nuestro conocimiento, este es el primer estudio bibliométrico de la investigación en T&H realizada por el mundo árabe, cubriendo específicamente el período de 1993 a 2022. Los hallazgos del estudio pueden desplegar el desarrollo de estrategias y políticas para el crecimiento sostenible y competitivo de la industria de T&H en el mundo árabe. Este estudio resalta la importancia de la investigación continua y la colaboración entre profesionales de la industria, académicos y responsables políticos para promover la innovación y generar un cambio positivo en el sector de T&H en el mundo árabe.

This study aims to investigate whether Bangladesh would avoid the middle-income trap (MIT) in its transition to a high-income country (HIC) according to its “Vision 2041”.

Using both actual and forecasted secondary data, three MIT models of different approaches were used to evaluate the government’s vision-based projections. Moreover, crucial indicators of deindustrialization and institutional strength were linked to the investigation of potential transitions.

According to the absolute definition and international forecasts, the Bangladesh economy might not fall into an MIT at its lower-middle-income level within the intended period due to being shorter than the defined limit. However, its real GDP per capita relative to the USA would remain far below the defined threshold limit of an upper-middle-income country (UMC) in 2041. Meanwhile, Bangladesh has reached the third of the five gradual phases and is awaiting a new transition in 2029. However, its vision-based plan would face challenges such as skills gaps, institutional reforms and successive global crises.

Bangladesh might be trapped in MIT at the UMC level in the 2030s, with no path to renovate after the demographic dividend ends in 2047. In this regard, the government must demonstrate a strong political will to ensure the effectiveness of its policies and the viability of its institutions.

This study not only compared projections to forecasts using different MIT models but also connected transition phases to industrial policies and institutional strengths.

This case study has been prepared after thoroughly studying the Indian wine industry. Secondary data for the value of wine imported in India has been taken from the website of the Ministry of Commerce and Industry, Government of India. Data for GDP per capita for India has been taken from World Development Indicators, World Bank. Data for revenue generation of top five countries have been sourced from Statista Report on Indian wine market. Fictitious names are used for the Winery (Romaniszyn) and the individual (Harish G.) working there.

This case revolves around accounting complexities for starting a winery in India. A new vineyard comes with the challenge of the gestation period (five years), during which it would not generate revenue. Harish G. was adept at business development and had experience working with an Italian winery. He was unaware of how difficult accounting decisions would be, including determining the quantum of funds required, ascertaining different financial options to purchase assets and meeting cash requirements. He knew he would not be able to generate any sales for five years at the newly formed winery; the grapevines imported from New Zealand took that long to reach maturity. Furthermore, given that Harish was starting a new brand of wine, he also faced constraints with attracting new customers.

This case can be used in teaching undergraduate and postgraduate students in the introductory session of a financial accounting course. It is designed to approach basic accounting concepts, permitting the class to discuss and focus on the principal thought process of starting a real business and accounting for the transactions as and when they occur rather than only on mathematical computations. The objective of this case study is attained by involving the students in recording various accounting transactions and decisions the winery’s management must take over the time from early plantation to bottling of the wine. Every decision assesses the students’ comprehension of accounting concepts by making them analyze and resolve the accounting issues raised.

Due to high demand for international talents and skilful workforces, many countries around the world, especially the ageing populations are now looking for new ways and strategies to attract more international talent. Drawing on push-pull factor theory, integrated with theory of reasoned action (TRA), this research examines international students' intention to stay or to leave the host country after completion of the students' studies.

A conceptual model has been proposed and evaluated aimed at understanding the factors that influence the decision-making of international students studying in Finland. Data were collected from a sample of 292 international students in Finland and structural equation modelling (SEM) was used to analyse the data and examine the relationships between various constructs in the model.

The SEM results show that several factors influence students' decision to stay or leave the host country after graduation. Aspects related to host country, institutional and economic factors and social influence (norms) directly impact students' attitude towards staying. In addition, attitude towards staying not only has a direct impact on the intention to stay, but also mediates the relationship between different pulling factors and students' intention to stay in the host country. Moreover, challenges and barriers (such as local language, challenge of finding employment and challenge of assimilating into the community or making friends) have a negative impact on the decision to stay in the host country.

This study uses push-pull theory in the Finnish context, contributing to the growing body of literature on international education policies and practices. The findings highlight the need for a more holistic approach to supporting international students, one that considers the students' unique needs and experiences in the host country and provides the students with the necessary resources and support to succeed.

The purpose of this study is to explore the relationship between nonmarket strategy and innovation performance, as well as the boundary factors that influence this relationship in the context of the pharmaceutical industry in emerging markets.

This study analyzed matched data of 227 Chinese pharmaceutical firms and two secondary databases with SPSS to examine the hypotheses.

Nonmarket strategy promotes the innovation performance. High level of firm internal knowledge utilization ability and strategic flexibility strengthens the effect of nonmarket strategy in promoting innovation performance, while information technology (IT) environment weakens the effect of nonmarket strategy in promoting innovation performance.

The research studies the positive impact of nonmarket strategy on innovation performance in the specific context of Chinese pharmaceutical industry, and it introduces the internal capabilities and external IT environment of the firm as moderators of the relationship between nonmarket strategy and innovation performance. More importantly, this research echoes the call for research on moderator of nonmarket strategy and identifies important boundary conditions. To the best of the authors’ knowledge, it also explores the impact of the IT environment on the implementation of nonmarket strategy for the first time, which deepens the research on nonmarket strategy’s effect on innovation.