Search results

This paper aims  to examine the dynamic spillovers of Federal Reserve’s monetary policy shocks on real house price indices in nine emerging economies, namely China, Brazil, Thailand, Chile, Peru, Mexico, Malaysia, Indonesia and South Africa.

The authors use the local projection method with a panel data set of these countries spanning from 2005Q3 to 2019Q4 to estimate local projections at each period rather than extrapolating into distant periods from a given model.

A pure tightening monetary policy shock is associated with a decline in housing prices in the nine emerging markets. However, the optimistic information about the US macro-economic fundamentals that is embedded in the tightening announcement would increase housing prices. Therefore, the net transmission effects of the US policy rate shocks may be smaller than what previous studies reported. In addition, the authors also find that capital control actions executed by emerging countries are effective in mitigating the spillovers of the US monetary policy.

First, the paper aims to investigate the effects of US monetary policy shocks on housing prices in emerging economies which have not received sufficient scholarly attention. Second, the analysis focuses on both pure monetary policy shocks and the Federal Reserve's information on economic fundamentals contained in its rate announcements. Third, the authors also assess the effectiveness of capital controls imposed by policymakers in emerging countries in mitigating the spillovers of US policy rate shocks on housing prices in emerging markets.

This paper aims to examine the dynamic impacts of the COVID-19 pandemic and government policy on real house price indices in five emerging economies, namely, Brazil, China, Thailand, Turkey and South Africa.

The authors use the local projection method with a panel data set of these countries spanning from January 2020 to July 2021.

The number of COVID-19 confirmed positive cases raised housing prices, whereas government containment measures reduced them. Both conventional and unconventional monetary policy implemented by central banks to cope with the COVID-19 helped increase housing prices. These effects were strengthened by the US monetary policy via globalized financial markets.

First, while previous researches typically concentrated on developed countries, the authors investigate emerging economies where proportionally more people were badly affected by the pandemic. Second, a panel data set of five emerging economies enabled the authors to examine the dynamic effects of the COVID-19 crisis on housing prices. Third, to the best of the authors’ knowledge, this is the first study evaluating the influences of easing monetary policy on housing prices in emerging economies during the pandemic.

This paper aims to provide insights into service innovation (SI) during the COVID-19 crisis and its potential impact on tourism development in the medium-to-long term. The pandemic had a devastating effect on the industry, requiring immediate mitigation. It is yet to fully establish the impact of SI in the face of the COVID-19 volatility, uncertainty, complexity and ambiguity (VUCA). This study discusses the potential link between SI and COVID-19 crisis mitigation and offers recommendations for tourism recovery.

This paper synthesizes empirical evidence on post-crisis tourism SI using a theory-based general literature review approach.

COVID-19 crisis spun various forms of SI, which emerged as a conventional solution to crisis prevention, encompassing the management of crisis-time competitiveness, revenue deficits and risk perception. However, resistance to innovative services is linked to situational conditions.

COVID-19 is an unprecedented crisis. Therefore, this study serves as a primer for further inquiry into SI. For instance, areas such as governance in tourism innovation and consumers' inclination toward innovation-driven services are underexplored.

SI acts as a situational facilitator, but its characteristics can impede or facilitate adoption. Moreover, the irrelevance of innovations in some environments is evidenced. Thus, practitioners must adopt a responsive learning approach in SI adoption. To mitigate the COVID-19 impacts, reconfiguration in SI, recovery marketing strategy, knowledge gap and governance will be critical interventions.

This paper is one of the first comprehensive discussions on the potential role of SI in mitigating the impact of COVID-19 on the THI.

This research applies the stimulus-organism-behavior-consequence framework to explore how blockchain-enabled traceability influences trust in organic food producers and retailers, which impacts consumers’ purchase behaviors and subsequent outcomes.

Using a purposive sample of 5,326 Vietnamese consumers, multiple linear and polynomial regression with response surface analysis were employed to examine the hypotheses.

Blockchain-enabled traceability significantly enhances trust in both producers and retailers, which congruently and incongruently influences organic food purchase behaviors. This behavior also drives consumers’ word-of-mouth and repurchase intentions. Serial mediation analysis confirms blockchain’s impact through trust and purchase behaviors.

Stakeholders should adopt blockchain to boost transparency and trust, which increases consumer engagement. Policymakers can support this transition through regulations and incentives to enhance food security and sustainability.

This study expands on blockchain research by applying the stimulus-organism-behavior-consequence framework in the organic food supply chain, showing how blockchain-enhanced trust synergistically affects consumers’ purchase behaviors, word-of-mouth and repurchase intentions.

This study uses bibliometric visualization techniques to comprehensively review the intertwined concepts of dark tourism, thana tourism and ghost tourism from 2000 to 2023. The research seeks to clarify the ambiguity and inconsistencies arising from the interchangeable use of these terms and sets forth a roadmap for future research endeavors.

This study meticulously extracts research keywords from 634 scholarly papers in the Scopus database. It undertakes a thorough bibliometric analysis utilizing the visualization of similarities (VOS) viewer and RStudio to map the interconnectedness of these tourism phenomena.

The study identifies and explores contemporary theories such as self-categorization theory, stimulus-organism-response theory, embodiment theory, self-determination theory, socio-cognitive theory, risk perception theory, services theory, dark tourism theory, social and cultural theory, push-pull theory, performance theory, and wound culture theory. The research reveals four primary clusters through keyword co-occurrence and bibliographic coupling analyses: dark tourism insights, dynamics of dark tourism, dark tourism review and dark tourism experiences, illustrating their interrelationships and robustness.

Dark tourism insights can guide ethical practices, ensuring respectful site management and accurate historical representation. Integrating dark tourism into broader destination strategies can diversify offerings, attract niche markets and contribute to preserving historical memory through reflective experiences.

This study's outcomes significantly contribute to tourism literature by enhancing our understanding of the overlapping terminologies associated with dark, thana and ghost tourism. This improved comprehension sheds light on the importance of the research agenda surrounding the concept of dark, thana and ghost tourism.

This study performs a science mapping approach based on bibliometric analysis of the metaverse and its associated technology in tourism and hospitality. As an immersive technology, metaverse has penetrated various segments of human life and business activities. This digital transformation phenomenon has also penetrated tourism and hospitality in mixed reality, comprising virtual, augmented and extended reality.

The knowledge structure of the past and future trends in the sector’s metaverse application is analyzed to present the topological and temporal structure by a science mapping approach.

Findings show that current and emerging trends are related to tourism mobilities, cultural and heritage tourism, digital landscape transformation and motivation to adopt virtual reality. At the same time, future trends suggest three themes related to the transformation of the tourism industry through the metaverse: immersive heritage exploration, technology adoption in metaverse tourism.

Metaverse technology will continue impacting tourism services and product offerings. Stakeholders and players in the tourism sector need to adapt to the development of metaverse technology to stay competitive and relevant in today’s digital environment.

Through a science mapping approach, this study offers a crucial temporal and structural understanding of the metaverse in tourism phenomenon.

The potential of generative AI (GenAI) to stimulate employee creativity has received extensive attention from industry and academia. However, there is still limited research on strategically using GenAI to leverage its positive effects on employee creativity. This study aims to clarify the effects of different GenAI use purposes on employee creativity.

Based on self-determination theory, this study explores the effects of work-related and nonwork-related GenAI use on incremental and radical creativity through the mediator role of exploratory and exploitative learning and the boundary role of perceived ease of use. This study constructs a theoretical model and uses structural equation modeling to test the model by analyzing survey data from 330 employees.

(1) Work-related and nonwork-related GenAI use positively impacts incremental and radical creativity through exploratory and exploitative learning; (2) work-related GenAI use contributes more to exploitative learning than to exploratory learning, while nonwork-related GenAI use contributes more to exploratory learning than to exploitative learning; (3) exploitative learning has a stronger positive impact on incremental creativity, and exploratory learning has a stronger positive impact on radical creativity; (4) perceived ease of use weakens the positive effects of nonwork-related GenAI use on exploratory and exploitative learning.

First, this study enriches employee creativity research by revealing the relationship between different GenAI use purposes and incremental and radical creativity. Second, this study enriches employee creativity research by revealing the mediating role of exploratory and exploitative learning between GenAI use and incremental and radical creativity. Finally, this study enriches GenAI use research by revealing the moderating role of perceived ease of use between GenAI use and employee learning.

In response to the growing significance of diversity advertising, this study aims to investigate its impact on audience connectedness. This is an emerging metric crucial for gauging diversity advertising success. The study explores two paths via self-identification and belief congruence to understand how diversity advertisements resonate with individuals.

A quantitative study using partial least squares with survey data from 505 respondents was conducted.

Self-identification and belief congruence mediate the relationship between perceived diversity and audience connectedness. Belief congruence exhibits a stronger influence. Further, brand engagement reduces the relationship between belief congruence and connectedness. However, it strengthens the relationship between self-identity and connectedness.

Future research should address why belief congruence holds more significance than self-identification. Additionally, research must explore the societal effects of diversity advertising, including strategies to engage those who feel disconnected.

The study underscores the positive social effects of diversity advertising for both marginalized and nonmarginalized audiences. It urges marketers to pursue audience connectedness. Strategies for achieving this include reflecting their target audience’s beliefs, perhaps highlighting real and lived experiences. Marketers should also consider self-identification through visual cues and customized messaging.

The study applies self-referencing theory to unravel the relationship between diversity advertising and audience connectedness. It reinforces the role of self-identification and expands the knowledge by demonstrating how connectedness can emerge through belief congruence. Additionally, the authors explore the subtle influence of brand engagement, a critical brand-related factor that shapes individuals’ responses to diversity advertising.

Mianzi can powerfully influence tourists’ behavior. Compared with product brands, destination brands are more multidimensional, consisting of intangible and tangible elements. Therefore, this paper aims to explore the relationships among the Chinese culture-related variable mianzi, destination product quality, destination service quality, destination brand value, destination brand resonance, destination brand self-congruity and destination overall brand equity.

A questionnaire survey was conducted in 2021, yielding 475 valid responses from tourists who had traveled to Hainan, China. Data was analyzed using structural equation modeling.

The results showed that mianzi plays a significant role in shopping destination brand equity, and the mianzi effect shapes tourists’ positive perceptions of destination product and service quality. Meanwhile, destination product quality and service quality enhance shopping destinations’ overall brand equity through destination brand value, brand resonance and brand self-congruity.

This study, focusing on shopping destinations, presents a novel view of brand equity. The research also uncovers influencing factors (e.g. product quality and service quality) that further enrich the destination brand equity model. Finally, findings offer valuable insights for academic research and the practical development of shopping destinations.

面子能有力地影响游客的行为。与产品品牌相比, 目的地品牌更加多维, 由无形要素和有形要素构成。因此, 本文旨在探讨与中国文化相关的变量面子、目的地产品质量、目的地服务质量、目的地品牌价值、目的地品牌共鸣、目的地品牌自我一致和目的地整体品牌资产之间的关系。

2021年对去过中国海南旅游的游客进行问卷调查, 最终获取了 475 份有效问卷。

果表明, 结果表明面子在购物目的地品牌资产中发挥着重要作用, 面子效应塑造了游客对目的地产品和服务质量的积极认知。同时, 目的地产品质量和服务质量通过目的地品牌价值、品牌共鸣和品牌自我一致提升了购物目的地的整体品牌资产。

本研究以购物目的地为重点, 提出了一种新颖的品牌资产观点。研究还发现了一些影响因素（如产品质量和服务质量）, 进一步丰富了目的地品牌资产模型。最后, 研究结果为学术研究和购物目的地的实际发展提供了宝贵的见解。

Mianzi puede influir poderosamente en el comportamiento de los turistas. En comparación con las marcas de producto, las marcas de destino son más multidimensionales y constan de elementos intangibles y tangibles. Por lo tanto, este artículo pretende explorar las relaciones entre la variable mianzi relacionada con la cultura china, la calidad del producto del destino, la calidad del servicio del destino, el valor de la marca del destino, la resonancia de la marca del destino, la autocongruencia de la marca del destino y el valor general de la marca del destino.

En 2021 se llevó a cabo una encuesta por cuestionario, que arrojó 475 respuestas válidas de turistas que habían viajado a Hainan, China. Los datos se analizaron mediante un modelo de ecuaciones estructurales.

Los resultados mostraron que el mianzi desempeña un papel significativo en el valor de marca de los destinos de compras, y que el efecto mianzi determina las percepciones positivas de los turistas sobre la calidad de los productos y servicios del destino. Por su parte, la calidad de los productos y servicios del destino mejora el valor de marca global de los destinos de compras a través del valor de marca del destino, la resonancia de la marca y la autocongruencia de la marca.

Este estudio, centrado en los destinos de compras, presenta una visión novedosa del valor de marca. La investigación también descubre factores influyentes (por ejemplo, la calidad del producto y la calidad del servicio) que enriquecen aún más el modelo de valor de marca del destino. Por último, los resultados ofrecen valiosas perspectivas para la investigación académica y el desarrollo práctico de los destinos de compras.

This paper specifically aims to examine how (via which activities, methods and capabilities) organizations’ management deploy Artificial Intelligence (AI) systems to address underperformance. Five mitigation strategies/recommendations are introduced to manage the challenges and facilitate greater efficacies in changing organizations.

This paper conceptually synthesizes 47 articles, thematically reports and critically analyzes the AI–HRM–managerial decision-making relationship in changing organizations and discusses the impacts.

The results highlight three significant challenges and opportunities for changing organizations: (1) job performance challenges, (2) organizational performance challenges and HR and (3) collaborative intelligence opportunities.

The paper’s originality lies in addressing the current lack of a theoretical framework guiding HRM and AI experts on the managerial and strategic capabilities needed to address underperformance and their impacts in facilitating collective efficacies in human–AI collaboration in changing organizations. By further capturing an innovative HR Framework’s (1) human, (2) AI, (3) employees’ well-being, (4) jobs and (5) organizational performance, and its five key managerial recommendations/strategies, this paper develops two concepts: “technological servitization” and “re-ontological in-securitization” to advance theory in Managerial Psychology regarding the unintended/paradoxical consequences of managements’ AI-driven organizational performance interventions, including meaninglessness in organizations.