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The paper redefines workplace spirituality (WS/WPS) by transcending the existential vacuum (in psychiatric terms a sense of lack of meaning of human existence and thus of work), leading to the development of workplace creativity, productivity and satisfaction, targeting operational profitability and organizational optimization.

Spirituality is analyzed philosophically, following the Nietzschean definition in response to Schopenhauer’s primordial suffering. Philosophical syncretism yields a viable organizational culture change model of spiritualizing the workplace. For this purpose, specific techniques are proposed which are combined with those already applied to various large companies and organizations.

Spirituality in the workplace acts as a catalyst for developing beneficial qualities by increasing employee job satisfaction, organizational efficiency and business profitability, when equally responding to stakeholders’ needs.

The suggested change model holistically fosters organizational, operational, individual and collective effectiveness through work place spirituality redefined.

For the first time spirituality in the workplace is discussed under a brand new perspective, resulting in an interdisciplinary emerging model, contributing to the field by providing guidance to academics and practitioners to its auspicious implementation through organizational culture change.

This chapter discusses how an urban regeneration process, with culture as an economic asset, can contribute to creating a city brand and identity for the city of Mestre, a new habitat, and economic opportunities for the local community, as well as helping neighboring Venice tackle overtourism. This chapter highlights that places suffering from undertourism often are located closely to those suffering from overtourism. Urban regeneration policies driven by culture can be a key solution for both places, by creating a new future, identity, and economic opportunities for one community and for the other, in helping to regulate their touristic flows.

People with pre-existing mental health conditions are more likely to be affected by global crises. The Covid-19 pandemic has presented them with unique challenges, including reduced contact with the psychiatric rehabilitation and support systems. Thus, understanding the emotional experience of this population may assist mental health organizations in future global crises.

In this paper, researchers analyzed the discourse of the mentally ill during the Covid-19 pandemic, as reflected in Israeli Facebook groups: three private groups and one public group. Researchers explored the language, reactions, emotions and sentiments used in these groups during the year before the pandemic, outbreak periods and remission periods, as well as the period before the vaccine’s introduction and after its appearance.

Analyzing groups’ discourse using the collective emotion theory suggests that the group that expressed the most significant difficulty was the Depression group, while individuals who suffer from social phobia/anxiety and PTSD were less affected during the lockdowns and restrictions forced by the outbreak.

Findings may serve as a tool for service providers during crises to monitor patients’ conditions, and assist individuals who need support and help.

The study aims to optimize truck routes by minimizing social and economic costs. It introduces a strategy involving diverse drones and their potential for reusing at DNs based on flight range. In HTDRP-DC, trucks can select and transport various drones to LDs to reduce deprivation time. This study estimates the nonlinear deprivation cost function using a linear two-piece-wise function, leading to MILP formulations. A heuristic-based Benders Decomposition approach is implemented to address medium and large instances. Valid inequalities and a heuristic method enhance convergence boundaries, ensuring an efficient solution methodology.

Research has yet to address critical factors in disaster logistics: minimizing the social and economic costs simultaneously and using drones in relief distribution; deprivation as a social cost measures the human suffering from a shortage of relief supplies. The proposed hybrid truck-drone routing problem minimizing deprivation cost (HTDRP-DC) involves distributing relief supplies to dispersed demand nodes with undamaged (LDs) or damaged (DNs) access roads, utilizing multiple trucks and diverse drones. A Benders Decomposition approach is enhanced by accelerating techniques.

Incorporating deprivation and economic costs results in selecting optimal routes, effectively reducing the time required to assist affected areas. Additionally, employing various drone types and their reuse in damaged nodes reduces deprivation time and associated deprivation costs. The study employs valid inequalities and the heuristic method to solve the master problem, substantially reducing computational time and iterations compared to GAMS and classical Benders Decomposition Algorithm. The proposed heuristic-based Benders Decomposition approach is applied to a disaster in Tehran, demonstrating efficient solutions for the HTDRP-DC regarding computational time and convergence rate.

Current research introduces an HTDRP-DC problem that addresses minimizing deprivation costs considering the vehicle’s arrival time as the deprivation time, offering a unique solution to optimize route selection in relief distribution. Furthermore, integrating heuristic methods and valid inequalities into the Benders Decomposition approach enhances its effectiveness in solving complex routing challenges in disaster scenarios.

Data from different countries suggest a higher prevalence of anxiety, depression and suicides among manual and trade workers in the construction industry than in the general population. The present review examines the causes and effects of poor mental health and the effectiveness of interventions to improve manual and trade workers' mental health in the construction industry. It also identifies gaps in research and makes several suggestions for practice and future research.

A systematic literature review was conducted to examine and consolidate evidence reported in 54 relevant journal articles published between 2010 and 2021 on the mental health of manual and trade workers.

Three major themes emerged in the review of the 54 journal articles: causes of poor mental health, effects of poor mental health and interventions to improve mental health. The leading causes of poor mental health among construction manual and trade workers are poor work-life balance, high job demand, poor cultural norms and mental health stigma, chronic bodily pain, lack of social support, workplace injustice and job insecurity. The prominent effects of poor mental health are suicidality, drug and alcohol addiction, poor workplace safety and poor work performance. Moreover, the study found that some of the strategies recently implemented in the construction industry to improve mental health are deemed ineffective, or their effectiveness remains inconclusive.

The review's scope is limited to research on manual and trade workers, and it did not investigate the mental health of construction professionals and construction management students.

The review provides valuable insights into the causes and effects of poor mental health among manual and trade workers and the effectiveness of mental health interventions in the construction industry.

With mental health issues among the workforce becoming increasingly common, it is imperative that employers and their HR teams are alive to mental health issues and are well equipped to deal with them. This paper sets out to explain these points.

This paper provides insight for employers into how to deal with mental health issues in the workplace by breaking the topic down into the following sections: mental health-related claims, reasonable adjustments and preventative measures.

Employees dealing with poor mental health are often less motivated and productive and in more serious cases are more inclined to take periods of long-term sick leave to recover. However, aside from the potentially costly long-term absences and decreased productivity, HR professionals should also take mental health issues seriously because to do otherwise puts the business at risk of discrimination claims from employees suffering with severe and long-term mental health issues. This is why it is important for businesses to treat the mental health of its staff with equal importance to their physical health.

This paper is valuable to HR professionals looking to understand better how they can support their staff in mental health-related issues. The article effectively cuts through the complex legislation to provide clear, practical advice from legal experts.

This study aims to investigate earnings management practice of classification shifting of revenues in Chinese-listed firms.

The study employs a dataset of 2,920 A-listed firms from Chinese stock exchanges of Shanghai and Shenzhen for the period of 2003–2019. We apply both univariate and panel regression analysis by using fixed effect estimation with robust standard errors.

Our findings reveal that firms misclassify revenues by taking advantage of the flexibility provided by applicable financial reporting standards. The empirical evidence obtained through regression analysis suggest that managers reclassify non-operating revenues as operating revenue to alter the economic reality while seeking the advantage of financial reports users’ vulnerability for valuing the upper half of income statement items more as compared to lower part. The results further indicate that international financial reporting standards adoption inhibits the earnings management practices using classification shifting of revenues. It is also concluded that firms, which are suffering losses or having low growth, are more persistently involved in misclassification of revenues.

The study is unique from the point of view that it investigates earnings management from the prospective of revenue’s classification in an emerging market characterized by various market imperfections such as lower investor protection and higher information asymmetry.

This article aims to systematically review the literature published in recognized journals focused on cognitive heuristic-driven biases and their effect on investment management activities and market efficiency. It also includes some of the research work on the origins and foundations of behavioral finance, and how this has grown substantially to become an established and particular subject of study in its own right. The study also aims to provide future direction to the researchers working in this field.

For doing research synthesis, a systematic literature review (SLR) approach was applied considering research studies published within the time period, i.e. 1970–2021. This study attempted to accomplish a critical review of 176 studies out of 256 studies identified, which were published in reputable journals to synthesize the existing literature in the behavioral finance domain-related explicitly to cognitive heuristic-driven biases and their effect on investment management activities and market efficiency as well as on the origins and foundations of behavioral finance.

This review reveals that investors often use cognitive heuristics to reduce the risk of losses in uncertain situations, but that leads to errors in judgment; as a result, investors make irrational decisions, which may cause the market to overreact or underreact – in both situations, the market becomes inefficient. Overall, the literature demonstrates that there is currently no consensus on the usefulness of cognitive heuristics in the context of investment management activities and market efficiency. Therefore, a lack of consensus about this topic suggests that further studies may bring relevant contributions to the literature. Based on the gaps analysis, three major categories of gaps, namely theoretical and methodological gaps, and contextual gaps, are found, where research is needed.

The skillful understanding and knowledge of the cognitive heuristic-driven biases will help the investors, financial institutions and policymakers to overcome the adverse effect of these behavioral biases in the stock market. This article provides a detailed explanation of cognitive heuristic-driven biases and their influence on investment management activities and market efficiency, which could be very useful for finance practitioners, such as an investor who plays at the stock exchange, a portfolio manager, a financial strategist/advisor in an investment firm, a financial planner, an investment banker, a trader/broker at the stock exchange or a financial analyst. But most importantly, the term also includes all those persons who manage corporate entities and are responsible for making their financial management strategies.

Currently, no recent study exists, which reviews and evaluates the empirical research on cognitive heuristic-driven biases displayed by investors. The current study is original in discussing the role of cognitive heuristic-driven biases in investment management activities and market efficiency as well as the history and foundations of behavioral finance by means of research synthesis. This paper is useful to researchers, academicians, policymakers and those working in the area of behavioral finance in understanding the role that cognitive heuristic plays in investment management activities and market efficiency.

This editorial aims to organise the 17 United Nations Sustainable Development Goals (SDGs) into seven ServCollab service research themes to provide a way forward for service research that improves human and planetary life.

A conceptual approach is used that draws on observations from the scholarly experience of the editors.

This editorial offers seven research themes for service researchers: services that enable the WELL-BEING of the human species; services that provide OPPORTUNITY for all humans; services that manage RESOURCES for all humans; ECONOMIC services for work and growth for all humans; services from INSTITUTIONS that offer fair and sustainable living for all humans; service ecosystems with the PLANET; and COLLABORATION services for sustainable development partnerships.

Service scholars are urged to pursue collaborative research that reduces suffering, improves well-being and enables well-becoming for the sustainability and prosperity of Planet Earth.

This editorial provides service scholars with a new framework synthesising the SDGs into research themes that help focus further service research.

While the world is yet to fully recuperate from the social and economic repercussions of COVID-19, the Russia–Ukraine conflict poses another major threat causing a humanitarian crisis and economic shock. Although the 2030 Agenda for Sustainable Development Goals (SDGs) and its pledge to “leave no one behind” is a universal commitment to protect the livelihoods of vulnerable groups, the Russia–Ukraine ongoing conflict is causing immense suffering and a gloomy future for the 2030 Agenda. The purpose of this study is to provide a holistic understanding of the ramifications of the Russia–Ukraine war in SDGs progress around the world. Further, the authors shed light on how stakeholders can help engage in support of SDGs in such a challenging time.

This study is qualitative in nature and relies on secondary sources. The motive behind this study is to allow social and economic policy researchers and practitioners to learn from the Russia–Ukraine dispute. The authors conduct a preliminary factual analysis to determine patterns of how the conflict affects the SDGs Agenda. On this basis, the authors propose some recommendations.

While it is still early to measure the full impact of the war on crises worldwide, it is clear that the repercussions will be multi-dimensional. The authors argue that the conflict in Ukraine is severely threatening the achievement of the SDGs. As such, the authors identify patterns of this crisis that have halted progress on SDGs worldwide. Of all SDGs, the authors argue that SDG16 (i.e. peace and justice) is an absolute pre-requisite to sustaining other goals. Further, refugees should be economically empowered, resilient and sustainable food systems need to be put in place and renewable energy transition is required.

This study serves as a springboard for future research by identifying patterns of war crises that have halted progress in achieving sustainable development worldwide. Empirical evidence needs to be conducted on the impact of this ongoing conflict on sustainable development and the 2030 Agenda.

This study could provide guidance to leaders and stakeholders across the globe on patterns for the impact of the Ukraine–Russia conflict on undermining global sustainable development while highlighting the need for major additional efforts to achieve the relevant SDGs.

To the best of the authors’ knowledge, this study is the first to analyse the threats the Russia–Ukraine dispute presents to the achievement of the 2030 Agenda for SDGs.