Search results

The COVID-19 pandemic, a sudden and disruptive external shock to the USA and global economy, profoundly affected various operations. Thus, it becomes imperative to investigate the repercussions of this pandemic on the US housing market. This study investigates the impact of the COVID-19 pandemic on a crucial facet of the real estate market: the Time on the Market (TOM). Therefore, this study aims to ascertain the net effect of this unprecedented event after controlling for economic influences and real estate market variations.

Monthly time series data were collected for the period of January 2010 through December 2022 for statistical analysis. Given the temporal nature of the data, we conducted the Durbin–Watson test on the OLS residuals to ascertain the presence of autocorrelation. Subsequently, we used the generalized regression model to mitigate any identified issues of autocorrelation. However, it is important to note that the response variable derived from count data (specifically, the median number of months), which may not conform to the normality assumption associated with standard regression models. To better accommodate this, we opted to use Poisson regression as an alternative approach. Additionally, recognizing the possibility of overdispersion in the count data, we also explored the application of the negative binomial model as a means to address this concern, if present.

This study’s findings offer an insightful perspective on the housing market’s resilience in the face of COVID-19 external shock, aligning with previous research outcomes. Although TOM showed a decrease of around 10 days with standard regression and 27% with Poisson regression during the COVID-19 pandemic, it is noteworthy that this reduction lacked statistical significance in both models. As such, the impact of COVID-19 on TOM, and consequently on the housing market, appears less dramatic than initially anticipated.

This research deepens our understanding of the complex lead–lag relationships between key factors, ultimately facilitating an early indication of housing price movements. It extends the existing literature by scrutinizing the impact of the COVID-19 pandemic on the TOM. From a pragmatic viewpoint, this research carries valuable implications for real estate professionals and policymakers. It equips them with the tools to assess the prevailing conditions of the real estate market and to prepare for potential shifts in market dynamics. Specifically, both investors and policymakers are urged to remain vigilant in monitoring changes in the inventory of houses for sale. This vigilant approach can serve as an early warning system for upcoming market changes, helping stakeholders make well-informed decisions.

Healthcare workers’ (HCWs’) job-related high exposure to Covid-19 virus arouses fear of Covid-19 among them. Based on the Theory of Mind (ToM), the study predicts that fears will lead to negative psychological (psychological distress) and behavioral (withdrawal intentions) outcomes. ToM is also used to identify social intelligence as a means to counter fear of Covid-19 on heightened psychological distress and increased withdrawal intentions.

To investigate the study design, a sample of 262 HCWs, including doctors, nurses and technicians, were surveyed using standardized questionnaires.

As predicted, Covid-19 fear led to increased withdrawal intentions with heightened psychological distress partially mediating the relationship. The alleviating role of social intelligence on the effects of Covid-19 was supported as high social intelligence reduced HCWs’ turnover intentions, with decreased psychological distress partially mediating the relationship.

Given the universality of the Theory of Mind (ToM), the findings of this study are likely to be generalizable to all pandemics. The study results support the increased application of ToM in organizational settings and have both theoretical and practical implications for health administrators. Based on study results, health administrators are exhorted to develop ToM-based mental models to understand and deal with the fear of contagious diseases. Health administrators can also increase HCWs’ social intelligence to deal with the negative perceptual and behavioral outcomes arising from the emotions aroused by the nature of their work.

The purpose of this study is to adapt and validate Edinburgh social cognition test (ESCoT) for Indian children. In addition, exploring the effect of demographics on ESCoT.

For content validity, 10 practicing psychologists and clinical psychologists gave their feedback about the test scenarios based on which the items were retained. The adaptation process involved 100 participants aged between 6 and 12 years. Informed consent from parents and verbal assent from the participant were taken. Demographics were collected. Measures were individually administered. Data was scored and analyzed.

Seven out of 10 scenarios were retained in content validity. Convergent validity, internal consistency and interrater reliability were found to be acceptable. Regression analysis indicates that age significantly predicts performance on ESCoT. Age is associated with the cognitive theory of mind, affective theory of mind and interpersonal social norms understanding.

The study provides evidence for validation of ESCoT. Results indicate acceptable psychometric properties of ESCoT. Thus, it is suitable for Indian settings and amongst children.

This paper aims to consider the legitimacy challenges faced by hybrid organizations, examining the narrative strategies hybrids use in responding to these challenges and offering a framework for managers to consider in their choice of narratives.

A narrative analysis of texts addressing the legitimacy of the business models used by four hybrid organizations is conducted.

The results of the analysis suggest that the nature of conflicting stakeholder demands – centered on goals or means – is an integral factor influencing hybrids’ choice of narrative strategies to emphasize distinctiveness or conformity.

This paper adds to extant research examining the challenges hybrid organizations face and emphasizes that the choice of narrative strategies is an important factor hybrids must consider when managing legitimacy. Generalizability is a notable limitation of the case approach; the authors suggest areas for future research to address this limitation.

The research offers a practical framework for hybrids’ leaders, as they manage legitimacy, choosing to emphasize distinctiveness or conformity in the face of conflicts regarding goals or means.

By studying the legitimacy challenges faced by hybrid organizations, this study can form a more complete view of legitimation, encompassing different types of enterprises offering distinct value propositions.

The purpose of this paper is to examine the effect of visual technology on the price discovery process in listings of residential properties in Singapore from 2015 to 2018.

The authors empirically model the effects of 360 virtual tours and drone video on four dimensions in price discovery – buyers’ arrival rate, sale probability, transaction prices and time-on-market – using a comprehensive data set for the residential properties in Singapore.

The analysis shows that the availability of virtual tours or drone video in a listing increases the arrival rate from potential buyers, the probability of a successful sale and the selling price. These findings are consistent with the hypothesis that technologically enhanced tools improve the quality of information and the marketability of property. However, listings with virtual tours tend to be associated with longer marketing time, which is consistent with the prediction of the information overload hypothesis.

This paper extends the housing and price discovery literature by examining how technologically enabled new information affects property transactions.

To the best of the authors’ knowledge, this is the first paper to consider the impact of drone video on property market outcome.

The use of augmented reality (AR) and experiential learning go hand in hand. Although AR learning opportunities have been well discussed, there is limited empirical research on the use of AR within higher education settings. Drawing from the uses and gratifications theory (U&GT), this study aims to explore the use of AR for learning satisfaction and student engagement, while also examining differences in learning styles.

This study used experiments with higher education students in the UK to explore the use of AR as part of the learning experience. Data from 173 students who experienced AR as part of their learning experience were analysed using partial least square analysis.

The authors found that hedonic, utilitarian, sensual and modality gratifications influence AR learning satisfaction and student engagement. Furthermore, the authors found differences between active and passive learners with regards to utilitarian (information seeking, personalisation) and sensual gratifications (immersion, presence) and effects on learning satisfaction.

This study developed and validated a U&GT framework incorporating different learning styles rooted in Kolb’s learning cycle. Findings provide important implications for the use of commercial AR applications as part of the learning experience within higher education settings.

The purpose of this paper is to share the learning concerning how services and the paid carers working in them can support people living with dementia (PLWD) and their unpaid carers to overcome social isolation. This learning comes from the key findings from a Social Return on Investment (SROI) evaluation of a Shared Lives (SL) Day support service, known as TRIO.

SROI is a form of cost-benefit analysis that captures and monetises stakeholder outcomes. The SROI evaluation included a rapid evidence review, an interview study and a questionnaire study. The learning shared is drawn from the interview and questionnaire data that explored the reported outcomes relating to social connection, which included data related to participating in meaningful activities, confidence and independence.

PLWD who accessed the SL Day support service experienced better social connection, a sense of control over their activities (including their social activities) and community presence. A key foundation of these outcomes was the meaningful relationship that developed between the PLWD, their unpaid carer and the paid carer.

This evaluation was a pilot study with a small, albeit representative sample size.

The learning suggests feasible and effective ways for paid carers to support the social connection of PLWD and their unpaid carers with their wider community.

There has been little exploration of how community-based short breaks (like SL Day support) can enhance social connection. The authors drew on a social relational model lens to illustrate how this service type had supported successful outcomes of community and social inclusion for PLWD.

Professionalization is an important issue in many all-volunteer nonprofit organizations (e.g. recreational sports clubs). Therefore, this study relied on the competing values framework and self-determination theory to investigate whether a newly developed intervention can effectively strengthen the management processes and leadership styles in all-volunteer sports clubs.

For this purpose, a rigorous non-equivalent pre-test post-test control group design was used. The intervention involved two sessions organized in sports clubs in which internal stakeholders (e.g. board members, coaches, volunteers) were invited to discuss change initiatives aimed at enhancing the organizational processes.

An effect on both the management processes and leadership styles was found. As for the management processes, the intervention had an impact on the internal processes, with especially the development of an internal communication plan and the annual assessment of the organization's operations being promoted by the intervention. Regarding the leadership styles, the intervention had an effect on the controlling and chaotic leadership style, with leaders becoming less chaotic and controlling in situations in which (respectively) the business plan was established and the tasks were distributed within the organization.

This intervention study adopted an innovative approach to organizational intervention research by focusing on the enhancement of both the management processes and the leadership styles. Its principles are also relevant and valuable to organizations operating in other organizational contexts.

Artificial intelligence (AI) and big data analysis may further enhance the automated and smart features of tourism and hospitality services. However, it also poses new challenges to human resource management. This study aims to explore the direct and indirect effects of employees’ AI perception on career resilience and informal learning as well as the mediating effect of career resilience.

This paper proposed a theoretical model of AI perception, career resilience and informal learning with perceived AI as the antecedent variable, career resilience as the mediate variable and informal learning as the endogenous variable. Targeting the employees working with AI, a total of 472 valid data were collected. Data were analyzed using structural equation modeling with AMOS software.

Findings indicated that employees’ perception of AI positively contributes to career resilience and informal learning. Apart from the direct effect on informal learning, career resilience also mediates the relationship between AI perception and informal learning.

Research findings provide both theoretical and practical implications by revealing the impact of AI perception on employees’ career development, leaning activities, explaining how AI transforms the nature of work and career development and shedding lights on human resource management in the tourism and hospitality field.

本文提出了人工智能感知为前因变量、职业弹性为中介变量、非正式学习为内生变量的理论模型。以旅游业AI工作环境中的员工为研究对象, 本课题共收集了472份来自中国的有效数据, 并通过结构方程建模（SEM）来进行相关模型检验。

人工智能和大数据分析可能会使旅游和酒店服务更加自动化和智能化, 但这也对人力资源管理提出了新的挑战。本研究旨在探讨员工对人工智能（AI）的感知对职业弹性和非正式学习的直接和间接影响, 以及职业弹性的中介作用。

研究结果显示, 员工对人工智能的感知对职业弹性和非正式学习有积极影响。除了对非正式学习的直接影响外, 职业弹性在人工智能 (A I) 感知和非正式学习之间起中介作用。

本研究在以下几个方面具有重要的理论和实践意义：解释了人工智能感知对员工职业发展和学习行为的影响, 以及它是如何改变工作性质和员工职业发展的; 研究发现对旅游和酒店行业的人力资源管理具有实践指导意义。

La IA y el análisis de big data pueden potenciar aún más las características automatizadas e inteligentes de los servicios de turismo y hostelería. Sin embargo, también plantea nuevos retos a la gestión de los recursos humanos. Este estudio pretende explorar los efectos directos e indirectos de la percepción de la IA por parte de los empleados sobre la resiliencia profesional y el aprendizaje informal, así como el efecto mediador de la resiliencia profesional.

En este trabajo se propone un modelo teórico de percepción de la IA, resiliencia profesional y aprendizaje informal con la IA percibida como variable antecedente, la resiliencia profesional como variable mediadora y el aprendizaje informal como variable endógena. Dirigidos a los empleados que trabajan con IA, se recogieron un total de 472 datos válidos. Los datos se analizaron mediante un modelo de ecuaciones estructurales (SEM) con el software AMOS.

Los Resultados indicaron que la percepción de la IA por parte de los empleados contribuye positivamente a la resiliencia profesional y al aprendizaje informal. Aparte del efecto directo sobre el aprendizaje informal, la resiliencia profesional también media en la relación entre la percepción de la IA y el aprendizaje informal.

Los Resultados de la investigación proporcionan implicaciones tanto teóricas como prácticas al revelar el impacto de la percepción de la IA en el desarrollo profesional de los empleados, las actividades de aprendizaje, explicar cómo la IA transforma la naturaleza del trabajo y el desarrollo profesional, y arrojar luz sobre la gestión de los recursos humanos en el ámbito del turismo y la hostelería.

With its potential to significantly improve the tourism sector, augmented reality (AR), an emerging technology, is a growing force in the field. It has attracted significant academic attention and expanded publishing options over the past 20 years. However, so far, no review has provided a comprehensive overview of AR-related research in tourism. This work uses the VOS Viewer and Bibliometrix R-package software to present a bibliometric review of the scientific literature in the area of AR-related tourism research in order to fill this gap.

The theme of AR in tourism was searched in the Scopus database. The original search yielded 327 papers in total, which were then filtered based on the parameters. A total of 190 relevant documents were generated by the refining process. For the publications pertaining to AR in tourism, the most cited papers, prominent authors, productive journals and countries, co-authorship among countries, trending topics, thematic map, co-occurrence analysis of keywords and bibliographic coupling of documents were all looked into.

This report shows a recent rise in research on AR in the tourism industry. The top 10 studies in the topic had a combined total of 1749 citations, while the authors found three papers with more than 200 Scopus citations. Till the date of extraction, 555 writers have contributed to the field of AR in tourism, with Tom Dieck M.C., Chung N. and Jung T. receiving the most citations. According to co-authorship analysis, the UK collaborates with other countries the most. Thematic map has thrown insight into the niche themes and emerging themes in the field. Coupling analysis has revealed four major research streams in the field of AR in tourism.

This study can be considered as a first study to utilize a bibliometric method to address this research gap, identifying the top documents, journals and, most importantly, the future research areas identified through the thematic map analysis of keywords and bibliographic coupling.

Historical growth within this discipline was made clear by an in-depth analysis of the studied themes in this area. Hence, the discovery of relatively new subjects offers scholars the chance to plan their research in this area and thereby enhance the literature. The study is also beneficial for practitioners in the tourism industry.

This work examined previously published publications on AR in tourism using a bibliometric analytic technique. Additionally, it contributes to the current knowledge accumulation in learning about the applicability of AR in tourism and enlightens tourism scholars on the structure of the field.