Search results

Climate change has led to a rise in the frequency, intensity and scope of droughts, posing significant implications for businesses. This study examines the impact of local community drought levels on audit pricing. Additionally, it explores the moderating effects of high-tech industries, auditor busyness and the level of local community concern regarding the drought crisis.

This study employs a mixed-methods approach to rigorously test the research hypotheses. The quantitative phase of the study utilizes a sample of 1,278 firm-year observations from Iran’s capital market. For the analysis of the quantitative data, ordinary least squares regression with clustered robust standard errors is used. Additionally, this research supplements its quantitative findings with qualitative evidence obtained through semi-structured interviews with 19 Iranian audit partners.

The results suggest that firms operating in provinces facing severe droughts experience notably higher audit fees. Furthermore, the positive relationship between drought and audit fees is weakened when auditors are busy, local community concern regarding the drought crisis is high or the firm operates within high-tech industries. These findings are supported by a range of robustness checks and qualitative evidence gathered from the field.

This research contributes to the growing literature on climate change by examining the influence of local community drought levels on audit pricing within an Iranian context. Additionally, our study sheds light on how high-tech industries, auditor workload and the level of local community concern regarding the drought crisis moderate the relationship between drought and audit fees. Importantly, our study pioneers in providing mixed-methods evidence of the association between drought severity and audit fees.

Fiat money production necessitates physical commodities, increasing costs and its flow is challenging to monitor, making it vulnerable to criminal exploitation. Cryptocurrencies offer decentralized solutions, but their decentralization has led to illegal activities. Current cross-border transactions face high costs, resource intensity and lack of instant currency transfers. Offline transactions are essential in unreliable networks.

Here, the authors proposed the methodology to perform offline transactions based on card, quick response (QR) code and a foreign transaction framework with universal identification (UID) to perform cross-border transactions using blockchain-dependent central bank digital currencies (CBDCs). Implications for the financial system are also analyzed.

The proposed CBDC framework reduces illegal transactions, corruption and the cost of producing fiat money; eases overseas transactions; and eventually increases international tourism, trade and business between countries. It also reduces the processing fees. Offline framework found useful for performing retail-level transactions.

The research methodology may face limitations due to diplomatic relations, political instability, sanctions and the need for robust offline transaction infrastructure.

The proposed CBDC framework simplifies debt and insurance management, tax collection, international trade, tourism and global stock market participation. However, implementing CBDCs in low-income countries presents challenges like extensive training, infrastructure and user acceptance issues.

The adoption of CBDCs can enhance financial stability by reducing corruption and illegal transactions through improved traceability and monitoring, thereby curbing activities like terrorism.

Common framework for foreign transactions is based on the UID, and offline transaction framework is based on the sender’s QR code for multiple user applications.

This study aims to examine the relationship between climate change disclosure performance (CCDP) and audit pricing. The moderating effect of corporate governance characteristics on that relationship is also investigated.

Using a sample of top 300 Australian Securities Exchange listed non-financial firms over the period 2008–2019, this study investigates the association between CCDP and audit fees. The findings are robust to a difference-in-difference test thereby alleviating potential endogeneity concerns.

CCDP is found to be significantly positively related to external auditor fees.

The findings show some important implications for firm management, regulators, investors and auditors. This study presents empirical evidence that climate change, as a factor of external risk, influences audit fees.

Firms with governance structures characterized by larger more independent boards, larger audit committees and audit committees with a higher level of independence significantly moderate the relationship between CCDP and audit fees.

Investors’ demand for firm transparency and disclosure of information regarding the risks of climate change, effects and opportunities has increased significantly over the past decade, as these factors could have a significant effect on valuation and investment decisions.

Importantly, stakeholders need to be aware of the costs of climate change, the quantification of climate change impacts and how firms address climate change in their business risk management processes. This study quantifies the impact of CCDP on auditor risk assessments via audit fees.

To map nurses’ actions performed during the care transitions from hospital to home of Covid-19 patients.

A scoping review based on the Joanna Briggs Institute guidelines was carried out. We searched in seven databases: PubMed/MEDLINE, BDENF, LILACS, SciELO, Embase, Scopus, Web of Science and Google Scholar. A two-step screening process and data extraction was performed independently by two reviewers. The findings were summarized and analyzed using a content analysis technique.

Of the total 5,618 studies screened, 21 were included. The analysis revealed nurses’ actions before and after patient’ discharge, sometimes planned and developed with the interprofessional team. The nurses’ actions included to plan and support patients’ discharge, to adapt the care plan, to use screening tools and monitor patients’ clinical status and needs, to provide health orientation to patients and caregivers, home care and face-to-face visiting, to communicate with patients, caregivers and other health professionals with phone calls and virtual tools, to provide rehabilitation procedures, to make referrals and to orient patients and families to navigate in the health system.

The results provide a broader understanding of the actions taken and challenges faced by nurses to ensure a safe care transition for Covid-19 patients from hospital to home. The interprofessional integration to discharge planning and the clinical nursing leadership in post-discharge monitoring were highlighted.

The nurses’ actions for Covid-19 patients performed during care transitions focused on coordination and discharge planning tailored to the needs of patients and caregivers at the home setting. Nurses monitored patients, with an emphasis on providing guidance and checking clinical status using telehealth tools.

This study aims to integrate the concepts of digital transformation, innovation strategy, and competitive advantage, into a novel research model in an effort to identify a more competitive path for digital transformation within manufacturing enterprises.

The research model was tested through multivariate hierarchical regression analyses, and Hayes’ PROCESS for SPSS, utilizing survey data collected from 183 manufacturing enterprises in China.

The results indicate that, in comparison to research and development (R&D) and production, digital transformation in service and organizational activities exert a more significant impact on competitive advantage. Conversely, digital transformation in sales does not exhibit a significant impact on competitive advantage. Furthermore, in contrast to exploratory innovation and ambidexterity, exploitative innovation has a more pronounced influence on digital transformation. Additionally, digital transformation has been confirmed as a mediator in the relationship between innovation strategy and competitive advantage.

These findings expand our comprehension of digital transformation as an evolving process and shed light on the relationship between digital transformation and competitive advantage across various value-creating activities. This research serves as a valuable resource for decision-makers in selecting the most suitable path for digital transformation and configuring innovative resources.

In recent years, in research and policy circles, there is growing interest in the subject of speaking up (and silence) within the health sector, and there is a consensus that it is a major issue that needs to be addressed. However, there remain gaps in our knowledge and while scholars talk of a voice system – that is the existence of complementary voice channels designed to allow employees to speak up – empirical evidence is limited. We seek to explore the notion of a voice system in a healthcare organisation as comprising structures and cultures as seen from different stakeholder perspectives. What do they see and how do they behave and why? To what extent do the users see a voice system they can access and easily navigate?

Interviews and focus groups were conducted with a voice stakeholder group (e.g. designers of the system from senior management and HR, which comprised 23 staff members) as well as those who have to use the system, with 13 managers and 26 employees from three units within a metropolitan hospital: an oncology department, an intensive care unit and a community health service. Overall, a total of 62 staff members participated and the data were analysed using grounded theory to identify key themes.

This study revealed that although a plethora of formal voice structures existed, these were not always visible or accessible to staff, leading to confusion as to who to speak up to about which issues. Equally other avenues which were not designated voice platforms were used by employees to get their voices heard.

This papers looks at the voice system across the organisation rather than examining a specific scheme. In doing so it enables us to see the lived perceptions and experiences of potential users of these schemes and their awareness of the system as a whole.

Existing research has ignored the perspectives of frontline managers (FLMs) in relation to the support they receive. This study aims to understand the extent to which and how other organisational actors support FLMs in their implementation of performance.

This article used a qualitative method (57 semi-structured interviews) in two Singapore public sector organisations to understand the types of support provided to FLMs. The interviewees came from various levels and the hierarchical sampling frame allowed for comparisons to be made across the cases.

The authors found that the HR department, superiors and peers signalled to FLMs the custom and practice of performance management (PM) that led to the FLMs not prioritising their PM responsibilities. Notably, the focus of the FLMs was on meeting operational needs rather than the PM process.

The authors add to the literature by examining the how the support from other organisational actors signalled to FLMs the importance of PM within their work group. This paper also explores how FLMs seek support and the type of support they want in their role.

The purpose of this study is to investigate and compare the dynamic leverage policies of Islamic and conventional banks within selected Organization of Islamic Cooperation (OIC) countries. The study specifically focuses on the concepts of leverage procyclicality and prospect theory.

To achieve the research objectives, the study uses data from three distinct periods: Crisis I (2007–2009), Crisis II (2011–2012) and Crisis III (2020). The analysis uses dynamic panel-data regression, using the generalized method of moments (GMM) technique.

The research findings indicate that both Islamic and conventional banks demonstrate leverage procyclicality. Interestingly, Islamic banks exhibit weaker leverage procyclicality during normal conditions but display stronger procyclicality during crises compared to their conventional counterparts. The application of prospect theory reveals that both bank types exhibit risk-taking or risk-averse behavior through leverage under certain financial and market performance measures as the first-level domain of the gain-vs-loss condition. Furthermore, during crises (as the second-level domain of the normal-vs-crisis condition), both Islamic and conventional banks experience heightened leverage. Notably, Islamic banks, owing to their lower risk exposure and greater shock resilience, demonstrate lesser risk-taking behavior through leverage than conventional banks, both during periods of underperformance and worsening conditions amid crises. These findings validate the extension of prospect theory's applicability in a two-level domain perspective. The dynamic nature of leverage policy, being procyclical and adhering to prospect theory, also varies following different crises specifically.

The study's limitations include the unequal crisis periods (Crises I, II and III), leading to an imbalanced examination of their effects, certain financial and market performance metrics that fail to corroborate the expected hypotheses and the limited generalizability of findings beyond the selected OIC countries.

Understanding the intricate dynamics and behavioral aspects of leverage policy for both Islamic and conventional banks, particularly during crisis scenarios, proves crucial for reviewing banking regulations, making informed financial decisions and managing risks effectively.

This study enriches the current knowledge by presenting two key points. First, it highlights the dynamic nature of leverage procyclicality in Islamic banks, showing a change from weaker procyclicality in normal conditions to stronger procyclicality during crises compared to conventional banks. Second, it expands the application of prospect theory by introducing a dual-level domain context. Examining the comparative leverage policies of Islamic and conventional banks during different crises within OIC countries provides novel insights into leverage procyclicality and behavioral responses.

Radical changes in consumer habits induced by the coronavirus disease (COVID-19) pandemic suggest that the usual demand forecasting techniques based on historical series are questionable. This is particularly true for hospitality demand, which has been dramatically affected by the pandemic. Accordingly, we investigate the suitability of tourists’ activity on Twitter as a predictor of hospitality demand in the Way of Saint James – an important pilgrimage tourism destination.

This study compares the predictive performance of the seasonal autoregressive integrated moving average (SARIMA) time-series model with that of the SARIMA with an exogenous variables (SARIMAX) model to forecast hotel tourism demand. For this, 110,456 tweets posted on Twitter between January 2018 and September 2022 are used as exogenous variables.

The results confirm that the predictions of traditional time-series models for tourist demand can be significantly improved by including tourist activity on Twitter. Twitter data could be an effective tool for improving the forecasting accuracy of tourism demand in real-time, which has relevant implications for tourism management. This study also provides a better understanding of tourists’ digital footprints in pilgrimage tourism.

This study contributes to the scarce literature on the digitalisation of pilgrimage tourism and forecasting hotel demand using a new methodological framework based on Twitter user-generated content. This can enable hospitality industry practitioners to convert social media data into relevant information for hospitality management.

2019冠狀病毒病引致消費者習慣有根本的改變; 這些改變顯示，根據歷史序列而運作的慣常需求預測技巧未必是正確的。這不確性尤以受到大流行極大影響的酒店服務需求為甚。因此，我們擬探討、若把在推特網站上的旅遊活動視為聖雅各之路 (一個重要的朝聖旅遊聖地) 酒店服務需求的預測器，這會否是合適的呢?

本研究比較 SARIMA 時間序列模型與附有外生變數 (SARIMAX)模型兩者在預測旅遊及酒店服務需求方面的表現。為此，研究人員收集在推特網站上發佈的資訊，作為外生變數進行研究。這個樣本涵蓋於2018年1月至2022年9月期間110,456個發佈資訊。

研究結果確認了傳統的時間序列模型，若涵蓋推特網站上的旅遊活動，則其對旅遊需求方面的預測會得到顯著的改善。推特網站的數據，就改善預測實時旅遊需求的準確度，或許可成為有效的工具; 而這發現對旅遊管理會有一定的意義。本研究亦讓我們進一步瞭解朝聖旅遊方面旅客的數碼足跡。

現存文獻甚少探討朝聖旅遊的數字化，而本研究不但在這方面充實了有關的文獻，還使用了一個根據推特網站上使用者原創內容嶄新的方法框架，進行分析和探討。這會幫助酒店從業人員把社交媒體數據轉變為可供酒店管理之用的合宜資訊。

The ability to measure cognitive load in the workplace provides several opportunities to improve workplace learning. In recent years, virtual reality (VR) has seen an increase in use for training and learning applications due to improvements in technology and reduced costs. This study aims to focus on the use of simulation task load index (SIM-TLX), a recently developed self-reported measure of cognitive load for virtual environments to measure cognitive load while undertaking tasks in different environments.

The authors conducted a within-subject design experiment involving 14 participants engaged in digit-recall n-back tasks (1-back and 2-back) in two VR environments: a neutral grey environment and a realistic industrial ozone facility. Cognitive load was then assessed using the SIM-TLX.

The findings revealed higher task difficulty for the 2-back task due to higher mental demand. Furthermore, a notable interaction emerged between cognitive load and different virtual environments.

This study relied solely on an n-back task and SIM-TLX self-report measure to assess cognitive load. Future studies should consider including ecologically valid tasks and physiological measurement tools such as eye-tracking to measure cognitive load.

Identifying cognitive workload sources during VR tasks, especially in complex work environments, is considered beneficial to the application of VR training aimed at improving workplace learning.

This study provides unique insights into measuring cognitive load from various sources as defined by the SIM-TLX sub-scales to investigate the impact of simulated workplace environments.