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This study aims to investigate how to manage the stressors that facility managers (FMs) face with the aim of reducing their stress and strain levels.

Using the job demands-resources (JD-R) model, stressors are operationalized from job demands, job resources and personal resources constructs. A structured questionnaire was used to collect data from FMs based in Singapore.

FMs have significantly high levels of stress, but they are able to manage this well. Job demands that cause stress and strain are those relating to insufficient time to complete the work and difficulties in handling the work. The lack of job resources in terms of lack of organizational support and inadequate stress mitigation programs are associated with high levels of stress and strain.

The limitations are the relatively small sample size and absence of a database of FMs in Singapore, and correlation is not causation when determining the association between stressors and stress and strain.

Based on the recommendations, employers and FMs may manage the specific stressors identified so that FMs’ stress and strain levels are under control to enable them to work optimally.

This research discovered that the JD-R model is moderated by certain features of facilities management and FMs. When these features are present, FMs are predisposed to more stressors, and higher stress and strain. For the facilities management profession, the discovery is that there are significantly more job demands: for in-house FMs compared to those working for outsourced firms; for FMs who need to carry out estate and asset management, landlord activities and facility planning compared to FMs who focus on operations and maintenance; and for FMs who work longer than five days compared to those who work a five-day week.

With the growing need for employees to be innovative, public-sector organizations are investing in employee training. This study aims to examine the effects of a combined Lean Six Sigma and innovation training, using action learning, on public-sector employees’ creative role identity and innovative work behavior.

The authors studied a public service agency in Singapore in which a five-day Lean Innovation Training was implemented, using a combination of Lean Six Sigma and Creative Problem-Solving tools, with a simulation on day one and subsequent team-based project coaching, spread over six months. The authors administered pre- and postintervention surveys among all the employees, and initiated group interviews and observations before, during and after the intervention.

Creative role identity and innovative work behavior had significantly improved six months after the intervention, enabled through senior management’s transformational leadership. The training induced managers to role-model innovative work behaviors while cocreating, with their employees, a renewal of their agency’s core processes. The three completed improvement projects contributed to an innovative work culture and reduced service turnaround time.

Starting with a role-playing simulation on the first day, during which leaders and followers swapped roles, the action-learning type training taught all the organizational members to use various Lean Six Sigma and Creative Problem-Solving tools. This nimble Lean Innovation Training, and subsequent team-based project coaching, exemplifies how advancing the staff’s creative role identity can have a positive impact.

This study analyzes the impact of the information environment (IE) and credit default swap (CDS) transaction costs on information transmission between the stock and CDS markets. Using the daily regression analysis on the Korean firm’s stock and CDS data from 2004 to 2023, the results show that companies with superior IE in the stock market exhibit a larger and more sensitive total information flow from the stock market to the CDS market. Companies with lower transaction costs in the CDS market demonstrate faster information flow. In the case of companies with superior IE, fundamental information is reflected in stock prices with high weight and thus the CDS spreads change reflecting information about stock prices. According to this study’s findings, the primary factor influencing the information flow from the stock market to the CDS market is the information environment of the company in the stock market, rather than transaction costs in the CDS market.

This study is the first to investigate the causal relationship between Bitcoin and equity price returns by sectors. Previous studies have focused on aggregated indices such as S&P500, Nasdaq and Dow Jones, but this study uses mixed frequency and disaggregated data at the sectoral level. This allows the authors to examine the nature, direction and strength of causality between Bitcoin and equity prices in different sectors in more detail.

This paper utilizes an Unrestricted Asymmetric Mixed Data Sampling (U-AMIDAS) model to investigate the effect of high-frequency Bitcoin returns on a low-frequency series equity returns. This study also examines causality running from equity to Bitcoin returns by sector. The sample period covers United States (US) data from 3 Jan 2011 to 14 April 2023 across nine sectors: materials, energy, financial, industrial, technology, consumer staples, utilities, health and consumer discretionary.

The study found that there is no causality running from Bitcoin to equity returns in any sector except for the technology sector. In the tech sector, lagged Bitcoin returns Granger cause changes in future equity prices asymmetrically. This means that falling Bitcoin prices significantly influence the tech sector during market pullbacks, but the opposite cannot be said during market rallies. The findings are consistent with those of other studies that have established that during market pullbacks, individual asset prices have a tendency to decline together, whereas during market rallies, they have a tendency to rise independently. In contrast, this study finds evidence of causality running from all sectors of the equity market to Bitcoin.

The findings have significant implications for investors and fund managers, emphasizing the need to consider the asymmetric causality between Bitcoin and the tech sector. Investors should avoid excessive exposure to both Bitcoin and tech stocks in their portfolio, as this may lead to significant drawdowns during market corrections. Diversification across different asset classes and sectors may be a more prudent strategy to mitigate such risks.

The study's findings underscore the need for investors to pay close attention to the frequency and disaggregation of data by sector in order to fully understand the true extent of the relationship between Bitcoin and the equity market.

Many studies have shown that the intensity and the number of hurricanes are likely to increase. This paper aims to look at the immediate effects of hurricanes on the time on the market, share of houses sold and percentage of houses with price cuts in the housing market using the metropolitan statistical area-level data in Florida.

Using a difference-in-difference method, the authors estimate the impact that a hurricane has on the housing markets.

The authors find that a hurricane has a positive and significant effect on the time on the market. A hurricane leads to a delay of the sale of a typical house in Florida by five days. The authors test for within-year seasonality and show that these effects change with seasonality of the housing market. Markets with seasonal housing prices tend to be affected more by hurricanes than those where housing prices are not seasonal. The authors also show that effects of a hurricane are transient and fade away in a few months. The results remain significant as the hurricane intensity changes.

This is the first study to look at the short-term effects of the hurricanes and how their effects vary based on seasonality of the markets.

The objective of this chapter is to identify the key characteristics of Global Services businesses that will thrive and achieve success in the future. These factors are integrated into three main pillars, which we refer to as the Triple-Win. The first and most obvious pillar is technology as a tool. The second pillar is the design and sustainability of the business model, without which the previous factor would be merely a cost and not an investment. And last but not the least, there is the purpose which gives meaning to the proposal, focusing on the human being and their environment. The DIDPAGA business model sits at the intersection of these three elements.

Restorative experiences relieve fatigue or stress, leading people to feel more energetic. Activation theory and the nature–dose framework hold travel duration as a crucial influence on restorative effects, yet these factors may not demonstrate a simple linear relationship. This paper, thus, aims to explore the relationship between travel duration and restoration based on a survey conducted during a seven-day holiday (the longitudinal data spanned two months); and explore the reasons for this relationship and the mechanisms for lasting restorative effects based on diary analysis.

Mixed methods were used in this study. Questionnaires regarding restorative effects were administered to 232 people at six time points before, during and after a holiday. Participants were also asked to keep a diary during their trips. Data were first tested for common method bias and were then processed via independent sample t-tests, analysis of variance and time-series analysis.

Restorative effects were consistently higher in the travel group than in the non-travel group. Additionally, an inverted U-shaped relationship emerged between travel duration and the restorative effects of a holiday; a moderate duration had stronger restorative effects than a duration that was too long or too short. More importantly, the study found that participants who traveled for a moderate duration (longer or shorter) engaged in non-judgmental challenging (relaxing) activities at least once. They also demonstrated greater eudaimonism (hedonism) and stronger, more sustained restoration versus the original set point. In addition, results revealed how travel activities, emotions, moderators and restorative effects were constructed.

Longitudinal data indicated an inverted U-shaped relationship between travel duration and restoration. Achieving lasting restorative effects requires effort and non-judgmental challenging activities for a moderate travel duration and frequency. The study uncovered mechanisms influencing the relationship between travel experiences and restorative effects. The results offer guidance for research on “travel prescriptions” and for the health and stress relief market.

Inverted U-shaped curve for different travel durations and restorative effects at T3.

The non-judgmental challenging group showed lasting and stronger restorative effects over the next two months.

恢复性体验是指从疲劳或压力状态恢复到感觉更好或更有活力的状态。基于激活理论和自然剂量框架, 旅行停留时长是恢复效果的一个关键变量, 但两者之间可能并不是简单的线性关系。本文旨在（1）基于两个月的纵向数据, 探讨固定假期旅行停留时长与恢复效果之间的关系; （2）根据假期日记内容进一步分析以上关系产生的可能原因及达到持久恢复效果的作用关系。

该研究采用了混合方法。在度假前、度假中和度假后的六个纵向时间点, 对232人进行了与恢复效果有关的问卷调查。且参与者在整个假期中每天记日记。对数据进行了常见方法偏倚、独立样本t检验、方差分析和时间序列分析。

（1）在整个调查期间, 旅行组的恢复效果始终高于非旅行组; （2）旅行停留时长与恢复效果之间的关系呈倒U型, 适度的旅行停留时长可以得到更好的恢复效果; （3）适度（太长或太短）旅行停留时长的参与者更多地参与非评判的挑战性（享乐性）的活动, 表现出更大的实现主义（享乐主义）倾向, 并获得了更强、更持久的恢复效果。进一步地, 研究结果揭示了旅游活动类型、情绪、调节变量和恢复性效果之间的作用关系。

纵向数据分析表明旅行停留时长和恢复效果之间呈现倒U型, 要实现持久的恢复效果需要努力参与非评判的挑战性活动。这项研究揭示了旅行体验和恢复效果之间的关系, 研究结果为促进旅游成为健康和压力缓解市场的处方提供了理论基础和实践指导。

Las experiencias reparadoras alivian la fatiga o el estrés, haciendo que las personas se sientan con más energía. La teoría de la activación y el marco naturaleza-dosis sostienen que la duración del viaje es una influencia crucial en los efectos reconstituyentes que provocan en las personas, aunque estos factores pueden no demostrar una relación lineal simple. Así pues, este artículo pretende 1) explorar la relación entre la duración del viaje y la recuperación de las personas, a partir de una encuesta realizada durante unas vacaciones de 7 días (los datos longitudinales abarcaron dos meses); y 2) explorar las razones de esta relación y los mecanismos de los efectos reparadores duraderos a partir del análisis de diarios.

En este estudio se utilizaron métodos mixtos. Se administraron cuestionarios sobre los efectos reconstituyentes a 232 personas en seis momentos antes, durante y después de unas vacaciones. También se pidió a los participantes que llevaran un diario durante sus viajes. En primer lugar, se comprobó que los datos no presentaran sesgos por métodos comunes y, a continuación, se procesaron mediante pruebas t de muestras independientes, análisis de la varianza y análisis de series temporales.

Los efectos reparadores fueron sistemáticamente mayores en el grupo que viajó que en el que no viajó. Además, surgió una relación en forma de U invertida entre la duración del viaje y los efectos reconstituyentes de las vacaciones; una duración moderada tuvo efectos reparadores más fuertes que una duración demasiado larga o corta. Por último, los participantes que viajaron durante una duración moderada (más larga o más corta) realizaron más actividades estimulantes no perjudiciales (relajantes). También demostraron un mayor eudaimonismo (hedonismo) y una recuperación más fuerte y sostenida en comparación con el punto de partida inicial. Los resultados revelaron cómo se relacionaban las actividades de viaje, las emociones, los moderadores y los efectos reparadores.

Los datos longitudinales indicaron una relación en forma de U invertida entre la duración del viaje y la recuperación de las personas. Lograr efectos reparadores duraderos requiere esfuerzo y actividades para una duración moderada del viaje. El estudio descubrió mecanismos que influyen en la relación entre las experiencias de viaje y los efectos reconstituyentes. Los resultados ofrecen orientaciones para la investigación sobre las “recetas de viaje” y para el mercado de la salud y el alivio del estrés.

This paper aims to assess, from an empirical perspective, the research question if public media reports which relate concrete banks to concrete allegations of money laundering have an adverse impact on banks stock prices and what are the drivers of such impact?

The paper makes use of event study methodology and uses the constant mean and the market model. The event window is calibrated towards a five-day window, and the estimation window has a length of 90 days, in line with best academic practices. Drivers are identified by correlation analysis. and the market model uses ordinary least squares regression.

The application of event study methodologies yields the results that stock prices of affected banks generate, at the date of the news appearance, statistically significant negative abnormal returns under both the market model and the constant mean model. As negative abnormal returns have been mainly found at the date of the event itself, the findings confirm that the impacts of money laundering may be severe but short natured. In addition, the paper finds that the identified negative abnormal returns may be driven by the banks’ size in terms of total assets, by the bank’s profitability in terms of return on assets and by the bank’s sustainability risk.

The findings have implications in terms of banking and supervisory practices. In specific, the findings help to argue that banking consolidation is needed to lower the impacts of AML cases, as stock prices of larger banks show less sensitivity. In addition, the findings could be used to determine financial sanctions against banks violating AML regulation. Finally, the findings imply that AML news can have severe and fast-moving financial stability considerations and are, therefore, important in crisis situations.

As there appears to be no substantial research that applies event study methodology to the money laundering context, the combination of research question and methodology has an innovative character. In addition, there is no clear literature on media and money laundering.

The purpose of this paper is to explore the impact and mechanism of WeChat public platforms articles (abbreviated as WPP) on blood donation behavior using data of WPPA and donation behavior data.

This paper uses multiple linear regression methods, web crawlers and natural language processing technology. It first quantifies the impact of WPP published articles on donation behavior. On this basis, it then selects data from the day of article publication to further study the impact of article dissemination on donation behavior from the perspective of reading quantity, and analyzes the influencing factors of article reading quantity.

The results show that on the same day that an article is published, there is an increase of 13.8 and 14.3% in blood donation volume and fan registrations, respectively. The mediating effect exists. However, the day after an article is published, there is no longer any effect on blood donations. With a 1% increase in reading quantity, blood donation volume on the day of article publication increases by 0.13%, and this positive impact is promoted by the quality of the articles. A conc ise articles title and body and rich images help drive reading quantity. Moreover, blood donors prefer to read articles about blood dynamics and donation promotion, while articles about news, announcements and administrative affairs make them less inclined to read.

First, it focuses on WPPA, quantifies the impact of articles on blood donation behavior and analyzes the mechanism. Second, the authors study the impact and timeliness of social media article dissemination to address the insufficiency of existing research. Third, the study provides a scientific basis for the editing and publishing of articles, helping blood banks improve the effectiveness of publicity and recruitment.

Exoskeletons are moving into industries with the potential to reduce muscle strains and prevent occupational injuries. Although exoskeletons have been designed and tested in laboratory settings, rare empirical studies of their application in construction have been reported. Therefore, the purpose of this study is on in a real-life setting testing the applicability of adopting exoskeletons in the construction industry.

A feasibility study of exoskeletons in construction is conducted by testing a passive exoskeleton, designed for shoulder support. Five bricklayers tested in a two-month period the exoskeleton, each wearing it for a three-day period while carrying out normal work activities. Test data in terms of interviews were collected and analyzed using qualitative content analysis.

The application of exoskeletons in construction revealed several limitations, where the two primary ones are the exoskeleton is not designed while considering the tasks of a bricklayer causing several challenges and the exoskeleton only supports a single upward motion while limiting other movements and even counteracted when a downward movement was necessary.

The identified challenges could easily have been revealed by coupling the design and testing of exoskeletons to actual application. Thus, the design approach needs to be reversed. Instead of designing an exoskeleton to support a specific body part or motion and then identifying where it is applicable, it should target specific industries and focus on the actual work and movements and the necessary support. As part of the change, the design metrics should be reevaluated to reflect the work to support.