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Against the background of the popularity of social media and heritage tourism, this study aims to focus on world heritage sites, proposing a method to examine and compare the digital spatial footprints left by tourists using geographic information systems.

By analyzing user-generated content from social media, this research explores how digital data shapes the destination image of WHS and the spatial relationships between the components of this destination image. Drawing on the cognitive-affective model (CAM), it investigates through an analysis of integrated data with more than 20,000 reviews and 2,000 photos.

The creativity of this research lies in the creation of a comprehensive method that combines text and image analytics with machine learning and GIS to examine spatial relationships within the CAM framework in a visual manner.

The results reveal tourists' perceptions, emotions, and attitudes towards George Town and Malacca in Malaysia, highlighting several key cognitive impressions, such as history, museums, churches, sea, and food, as well as the primary emotions expressed. Their distributions and relationships are also illustrated on maps.

Tourism practitioners, government officials, and residents can gain valuable insights from this study. The proposed methodology provides a valuable reference for future tourism studies and help to achieve a sustainable competitive advantage for other heritage destinations.

Extant studies propose music sentiment as a novel measure of individuals’ sentiment. These studies argue that individuals’ choice of music reflects their emotional condition in real time and influences their cognitive ability, making it a powerful tool for assessing their mood. This study aims to use music sentiment as a proxy for auditors’ mood and explore its impact on audit quality.

A sample of the US firms from 2017 to 2020 is used in the study. The authors apply the ordinary least squares regressions and the logit regressions to the audit quality models. The authors use absolute discretionary accruals and the propensity to meet or beat earnings forecasts as proxies for audit quality and calculate a stream-weighted average sentiment measure for Spotify’s Top-200 songs of each day during the audit period of a client firm to capture the sentiment of auditors.

The authors find that music sentiment is positively associated with audit quality. The result is consistent with the mood maintenance hypothesis, which suggests that a positive mood can induce auditors to be more careful in risky situations. Furthermore, the result is robust to various sensitivity analyses.

The study contributes to the scarce literature that focuses on auditors’ emotional state and highlights the importance of monitoring auditor mindset during the audit period.

Our objective was to evaluate the cost-utility of a health and social care integration programme for frail older adults in Buenos Aires, Argentina.

Based on a study of the programme’s effectiveness, a Markov model was conducted to assess its cost-utility. The active intervention was the health and social care integration programme, and the control was the best standard of care so far. The setting was the patients' home of residence. A third-party payer perspective and a lifelong time horizon were adopted. All transition probabilities, quality-adjusted life years (QALYs) and costs were estimated from the effectiveness study. A discount rate of 3.5% was applied to costs and benefits. Costs are expressed in international dollars (Int$), calculated according to the International Monetary Fund’s purchasing power parity rate. Different sensitivity analyses were performed. The model was built in Excel 365. Construct validity, verification during model construction and internal consistency of the results were assessed.

The programme had an average cost of Int$18,768.22/QALY, and the control Int$42,609.68/QALY. In the incremental analysis, the programme saved Int$26,436.10 and gained 0.81 QALYs over the control. In the sensitivity analyses, in 99.96% of cases, the programme was less costly and more effective.

The cost savings can facilitate the scalability.

The health and social care integration programme for frail older adults was more effective and less costly than the best standard of care to date. This study contributes to the scarce evidence on the efficiency of integrated care strategies for frail older persons.

This paper aims to identify the effect of environmental management systems (EMSs), commitment to stakeholders and gender diversity on corporate environmental performance (CEP) and the extent to which an economic crisis moderates these relationships.

A regression analysis was conducted on a sample of 14,217 observations from 1,933 firms from 26 countries from 2002 to 2010. The estimator used is ordinary least squares with heteroscedastic panel-corrected standard errors (PCSEs), which allows us to obtain consistent results in the presence of heteroscedasticity and autocorrelation.

The results show that EMSs and stakeholder engagement are mechanisms that drive CEP but lose their effectiveness in times of crisis. However, the presence of women on boards has a positive effect on CEP that is not affected by an economic crisis.

The study has some limitations that could be addressed in the future. We present board gender diversity as a governance mechanism because its role is strongly related to non-financial performance. Future studies could focus on other corporate governance mechanisms, such as the presence of institutional or long-term investors. In addition, other mechanisms could be found that can counteract poor environmental performance in times of crisis. Finally, it might be useful to contrast these results with the crisis generated by the coronavirus pandemic.

The results obtained have important practical implications at the corporate and institutional levels. At the corporate level, they highlight, as essential contributions, that environmental management systems and stakeholder orientation are not effective in times of economic crisis, except for with the presence of women on the board.

Following the crisis, the European Commission has promoted gender diversity on boards as a mechanism to improve the governance of entities – improving, among other aspects, sustainability. In this sense, another one of the practical implications of the study is support for the policies that the European Union has implemented over the last two decades.

The paper analyses how a crisis affects the moral and cultural institutional mechanisms that promote CEP. Gender diversity on the board of directors not only promotes environmental performance but also appears to be a governance mechanism that ensures this performance in times of crisis when the other mechanisms lose their effectiveness. The study proposes specific policies that help maintain environmental performance in an economic crisis.

Gig microentrepreneurs are individuals who have embraced short-term gigs as an entrepreneurial agency for both financial and social livelihood. Based on surveys in 2020 and 2023, the research reported here presents a comprehensive, empirical portrait of two cohorts of gig microentrepreneurs. This portrait captures the similarities and differences of gig microentrepreneurs in terms of offline and online business models and the nature of gig work. Recognizing that there is not a “typical” gig microentrepreneur will help ensure that this gig business model continues to evolve without boundaries in terms of demographics, motivations and behavior and will enable marketing and entrepreneurship scholars to better assist in entrepreneurial growth and development. The purpose of this paper is to gain a better understanding of the gig microentrepreneur regardless of the nature of the gig work.

The research involved two separate surveys in the USA. The first survey took place in July 2020, and the second survey took place in April 2023 after major changes had taken place in the economy and in society (e.g. the COVID pandemic). Both surveys used samples generated by Dynata, an online consumer panel company with access to more than 70 million consumers worldwide who have agreed to participate as panel members.

The surveys provided answers to questions about the demographic and behavioral aspects of gig microentrepreneurs, including who they are, the number and type of gig activities in which they participate, the financial livelihood generated from gig income, the social livelihood inherent in gig work and dissatisfaction with being a microentrepreneur in the gig economy. These findings produced insights into why individuals engage in gig activities and the positive and negative impacts of that engagement. Based on the findings, nuances and trends within the gig economy and among gig microentrepreneurs are identified and discussed.

The research limitations include lack of generalizability outside of the USA, use of panel data and survivor bias.

Consumers, gig microentrepreneurs, companies and government agencies can benefit from the growth in the gig economy. The vast array of gig activities in which gig microentrepreneurs engage clearly shows the need for an on-demand workforce. There are both economic and societal benefits to having a labor-force that can meet a breadth of demands with varying timeframes.

Whether gig microentrepreneurs are engaging in gig work to augment their income because of economic insecurity or for intrinsic reasons, the motivations and behaviors of the gig microentrepreneurs are indicative of the talent and resources needed to keep the US economy moving forward positively.

As noted by several scholars conducting research on the gig economy, little is known about gig microentrepreneurs – who they are, what they do and why they do it. Current research on the gig economy tends to focus on online platform companies. This research offers an exploratory look at microentrepreneurs who engage in gig activities both online and offline without geographic or technological boundaries.

The purpose of this paper is to explore the impact of media representation on the mental health of Australians of African descent during the COVID-19 pandemic. By analysing the media coverage of COVID-19 restriction breaches, particularly focusing on individuals from African backgrounds, the study aims to shed light on how racially charged narratives can contribute to emotional distress and exacerbate feelings of alienation within these communities. The findings highlight the detrimental effects of such portrayals, emphasising the need for more responsible and inclusive media reporting to safeguard the mental well-being of culturally and linguistically diverse populations.

The study employed media content analysis to explore representations of Australians of African origin versus the broader Anglo–Australian population during the COVID-19 pandemic, focusing on racial identity’s impact on news coverage of COVID-19 restriction breaches. Researchers classified and distilled extensive textual content, using a diverse sample from various ethnic-racial backgrounds, with an emphasis on African Australians within the CALD community. Data analysis was conducted using NVivo (version 12) software, following an inductive approach.

The findings underscore the consistent portrayal of people from African communities as outsiders and the racial profiling they experience in media coverage of significant issues like COVID-19.

There is very limited research that examines the impact of media coverage on African migrants during the COVID-19 pandemic.

Achieving project performance goals in extremely resource-constrained environments, such as those of social enterprises, is challenging. These organizations often employ bricolage – making the most of available resources – to navigate challenging landscapes. This study aims to understand how bricolage capabilities enhance or attenuate organizational project outcomes in resource-constrained social enterprises.

An exploratory survey was conducted to understand project management practices in Canadian social enterprises. Established scales were used to measure constructs with confirmatory factor analysis, and linear regression was employed to analyze relationships.

The study provides empirical evidence of the positive influence of bricolage on organizational project performance, with a crossover interaction observed for moderators – entrepreneurial leadership and project management capabilities. While project capabilities strengthen the positive impact of bricolage capabilities on project performance, entrepreneurial leadership has the opposite effect.

The insights from this study offer an initial roadmap for project managers for effective resource acquisition and utilization through bricolage, ultimately enhancing project management effectiveness in resource-constrained environments.

Despite the crucial role of bricolage capabilities in resource-constrained environments, the project management literature has largely neglected this concept. It is unclear how organizations use bricolage to manage projects. This lack of understanding challenges organizations, hindering their ability to apply bricolage consistently and thoughtfully in managing projects. Our study provides a deeper understanding of how bricolage facilitates project performance and enriches our understanding of it as an effective resource mobilization strategy within social enterprises.

The present study aims to inform the requirements for developing a sustainable rating tool for small-scale infrastructure projects (SSIPs) through research findings.

A review-based comparative study of existing infrastructure sustainability (IS) rating tools for assessment of SSIPs is presented. Key stakeholder participants of the existing IS rating tools, are interviewed to identify existing barriers and requirements for sustainability rating. The study further presents possible rating tool options to optimise the sustainable performance evaluation of SSIPs.

Findings of this study indicated that prevalent IS rating tools are majorly applied to large-scale infrastructure projects and sustainability of SSIPs are seldom assessed. Based on a literature review and series of interviews, it was found that user friendliness, efficient structure, training and technical support, cost effectiveness and stakeholder recognition are the five key requirements of a sustainability rating tool for SSIPs. Additionally, six sustainability assessment options were proposed for SSIPs which range from pathways for existing tools through to new, customisable tools. Upon comparison, a new modified tool with verification process and revised tool with defined grouping of sustainable criteria was more effective for evaluation of SSIPs.

Use of case specific information for validation and framework development may lack generalisation. However, methodology can be used for future decision-making by making necessary adjustments to suit different local regional requirements.

Despite lack of generalisation, the findings can lead to future general studies on sustainability of SSIPs. Findings of the study provide foundation knowledge and awareness for sustainability evaluation of SSIPs.

This study aims to examine the effect of CEO compensation risk, as measured by the proportion of equity-based pay (option and stock awards) relative to total compensation and pay sensitivity to stock volatility, on CEO pay for luck asymmetry. This paper also empirically examines CEO compensation risk as a mediating variable between the regulatory changes and CEO pay for luck asymmetry.

This paper test the proposed two hypothesis that CEO compensation risk is positively associated with the degree of CEO pay for luck asymmetry; and the pay related regulations implemented around 2006 could mitigate the degree of CEO pay for luck asymmetry using the fixed-effects regression models.

Consistent with the managerial talent retention hypothesis, this paper finds that CEO compensation risk, as measured by the equity-based pay as a proportion of CEO total compensation and CEO pay sensitivity to stock volatility, is positively associated with the degree of CEO pay for luck asymmetry. In addition, this paper find that CEO pay for luck asymmetry is significantly reduced by the major regulatory changes on executive compensation implemented around 2006.

This study is among the very few studies exploring the impact of CEO compensation risk on pay for luck asymmetry in the literature. While the major purpose of the widely used stock options is to align executive interests and shareholder values, it also tends to increase the risk level of CEO compensation. So, a well-designed CEO pay package should protect risk-averse CEOs from bad luck for the retention purpose, which is also beneficial to shareholder wealth maximization. Therefore, future research on executive compensation needs to examine the issue from various perspectives.

For board of directors who is responsible for the compensation of CEOs, it is necessary to consider a broad range of factors when designing an optimal CEO pay package.

The findings on the impact of regulations on CEO pay for luck asymmetry suggest that the executive-pay-related regulations around 2006 have indeed achieved some of their intended goals to significantly lower pay for nonperformance asymmetry, whereby CEO pay sensitivity to stock volatility has been identified as a major mediating variable.

This study contributes to the literature on executive pay for luck asymmetry in several perspectives. First, this paper finds that CEO compensation risk has a positive impact on the degree of CEO pay for luck asymmetry. Second, this paper finds that the CEO pay for luck asymmetry has been mitigated after 2006 when various regulatory changes on executive compensation began to be implemented in the USA. To the best of the authors’ knowledge, this study is among the very few studies investigating these issues in the literature.

This study aims to propose the use of time series autoregressive integrated moving average (ARIMA) models to predict gas path performance in aero engines. The gas path is a critical component of an aero engine and its performance is essential for safe and efficient operation of the engine.

The study analyzes a data set of gas path performance parameters obtained from a fleet of aero engines. The data is preprocessed and then fitted to ARIMA models to predict the future values of the gas path performance parameters. The performance of the ARIMA models is evaluated using various statistical metrics such as mean absolute error, mean squared error and root mean squared error. The results show that the ARIMA models can accurately predict the gas path performance parameters in aero engines.

The proposed methodology can be used for real-time monitoring and controlling the gas path performance parameters in aero engines, which can improve the safety and efficiency of the engines. Both the Box-Ljung test and the residual analysis were used to demonstrate that the models for both time series were adequate.

To determine whether or not the two series were stationary, the Augmented Dickey–Fuller unit root test was used in this study. The first-order ARIMA models were selected based on the observed autocorrelation function and partial autocorrelation function.

Further, the authors find that the trend of predicted values and original values are similar and the error between them is small.