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This study examines the construction of essential labour during the early months of the COVID-19 pandemic in the United States. Research questions include: (1) How have government policies shaped designations of essential versus non-essential labour? (2) What are the consequences of these designations for essential workers? To address these questions, the author employs a case study of custodial services employees at Prairie University, a large public university in a major Texas city (Prairietown). The author begins with an examination of federal, state, and municipal guidelines about COVID-19 safety and critical infrastructure in order to understand the policy landscape within which custodial employees at Prairie University were formally deemed essential. Drawing on theories of non-nurturant care work, the author shows how government guidelines for essential work released during the early period of the COVID-19 pandemic discursively invisibilized cleaning labourers. The author then demonstrates how this invisibilization contributed to Prairie University custodial services staff members’ exposure to COVID-19. The author concludes by considering the implications of the findings for future research on care work and the construction of essential labour.

This study aims to evaluate the effectiveness of tax incentives provided by the Ethiopian government in spurring private investment and job creation, using unique administrative and survey data.

The study employs a dataset covering large- and medium-scale manufacturing in Ethiopia from 2012 to 2018, combined with administrative data on actual tax payments and statutory obligations to gauge the impact of tax incentives. Regression analysis using the generalized method of moments (GMM) is used to examine the relationship between tax incentives and employment, taking into account variations in production, distribution and financial costs.

The study finds that tax incentives do not significantly affect employment at conventional significance levels. The incentive elasticity of employment appears to diminish as production, distribution and financial costs increase. Consequently, the incentives provided by the government have not had a substantial impact on employment generation within the manufacturing sector.

This study is unique for its comprehensive analysis of tax incentives in the Ethiopian manufacturing sector using both administrative and survey data. It highlights that increasing production and financial costs can offset the employment benefits of these incentives, emphasizing the need for a more favorable business environment for private investors.

This study develops and tests a comprehensive model that examines whether dimensions of supervisors’ job demands and resources influence their work motivation through their job strain levels while managing disability accommodation (DA).

The proposed model leverages the assumptions of established job demand and resources theories, including demand-ability fit, job demand-control, job demand-control-support, and effort-reward balance models. Then, we tested with the quantitative data from 335 British, Canadian, American, Australian, Dutch, and German supervisors with recent DA experience.

This study found support for the proposed model. Job control and social support directly affected work motivation, while job strain did not mediate the relationship between job control and social support and work motivation. The results suggest that employers looking to improve the likelihood of DA success should focus on providing adequate job control, social support, and rewards to supervisors responsible for accommodating employees with disabilities.

This research enhances our understanding of how additional DA responsibilities impact supervisors and aids in the development of effective DA management policies and interventions, providing robust support for practitioners.

This study contributes to extending the DA literature by testing the applicability of different theoretical models to explain the effect of the additional DA responsibility on supervisors’ job demand, strain, and motivation levels and identify the resources to mitigate them.

This study aims to identify the status of virtual library system development in university libraries. It also attempted to examine the availability of virtual library services and reveal the challenges being faced by university librarians of Punjab province, Pakistan in providing virtual library services.

The study used a quantitative research method by using a questionnaire to address the study’s objectives. In total, 62 university libraries in Punjab province, Pakistan were the population of the study. A purposive sampling technique was applied to gather the required data from the respondents.

Results showed that most of the study’s respondents are well aware of the potential benefits of virtual library systems in universities for the delivery of innovative smart services to library patrons. The libraries delivered different virtual library services to meet the diverse needs of the library patrons. The respondents faced the challenges of funding, expertise, technical support, leadership, strategic planning and training to adopt virtual library systems and services in university libraries.

The study has provided a framework based on empirical findings of the study to efficiently adopt virtual library systems and services in university libraries for the delivery of smart services to end users. It has provided pertinent theoretical and practical implications.

This study aims to investigate how work overload, resulting from full-time telecommuting, aggravates telecommuting accounting professionals’ burnout via the mediation of work exhaustion. Further, the study also tests the conditional moderation effect of psychological capital on the association between work exhaustion and burnout, proposing that it becomes least severe for employees who perceive a high level of psychological capital.

The research was conducted using a sample of 322 employees from Big Four accounting firms, and the measurement model was established using confirmatory factor analysis. Hypotheses were tested using structural equation modeling and model-14 in the PROCESS Macro for SPSS.

The results confirmed that work overload directly and indirectly (via the mediation of work exhaustion) aggravates employees’ burnout. However, psychological capital negatively conditions the mediating effect of work exhaustion on burnout such that the aggravating effect of work overload on burnout, via the mediation of work exhaustion, gets least severe (insignificant) for those employees who perceive a high level of psychological capital.

The study contributes to the literature on work overload-induced “work exhaustion burnout” association and offers suggestions for implications.

Sustainable Development Goal 14 of the United Nations aims to ‘conserve and sustainably use the oceans, seas and marine resources for sustainable development’. To achieve this goal, we must rebuild the marine life-support systems that provide society with the many advantages of a healthy ocean. Therefore, countries worldwide have been using Marine Protected Areas (MPAs) to restore, create, or protect habitats and ecosystems. Palau was one of the first countries to use MPAs as a tool to develop biodiversity within its exclusive economic zone. On 22 October 2015, Palau placed approximately 80% of its maritime territory in a network of locally monitored MPAs, which has now shown a population increase in stationary and migratory fish species. This movement towards a MPA was intentional and because of increased pressure from tourism and the increasing incursion of foreign fishing vessels in Palauan territorial waters. Since countries worldwide are using and looking towards MPAs, secondary protection projects are becoming more and more popular. This chapter highlights the practical implementations and results in Palau, how to theoretically apply this within the Greater North Sea in combination with Windmill Farms, and how the Marine Strategy Framework Directive stimulates these practices.

Limiting the use of antibiotics in food animals is a cornerstone of contemporary EU policy. Despite that marketing of antibiotics for growth promotion and nutrition has been banned since 2006, the use is still high and varied. This paper aims to investigate the forces behind the different usage patterns in Italy, with one of the EU’s most extensive use of antibiotics in animals, versus Sweden, with the union’s most restricted use, including how these usage patterns are related to EU and national policies.

The industrial network approach/the 4R resources interaction model is adopted to investigate the major forces behind the different antibiotic usage patterns. Furthermore, the study relies on the notion of three main characteristics related to the use of a resource activated in several user settings (Håkansson and Waluszewski, 2008, pp. 20–22). The paper investigates the Swedish and the Italian using settings, with a minimised, respectively, extensive usage of antibiotics. The study is exploratory in nature and based on qualitative data collected through a combination of primary and secondary sources.

The paper underlines the importance of integrating forces for policy to succeed in attempts to reduce the use of a particular resource. It reveals that Sweden’s radically reduced use was based on great awareness, close interactions between animal-based food producers and policy – and that integrating forces were supported by an era of state-protected food production, with promising ability to distribute the cost of change. The Italian characteristics hindering the integration of forces mounting for reduced use were restricted awareness, top-down business and policy interactions – and a great awareness about the difficulties of distributing the cost of change.

The study deals with the analysis of forces affecting the different usage of antibiotics within two EU settings. The investigation, based on the industrial network approach’s notion of connectivity of economic resources, that is, of exchange having a content and substance beyond discrete transactions, reveals how indirect related contextual forces, neglected by policy, have an important influence on the ability to achieve change, in this case of antibiotics usage patterns.

With the advancement of digital transformation, it is important for e-retailers to use artificial intelligence (AI) for customer engagement (CE), as CE enables e-retail brands to succeed. Essentially, AI e-marketing (AIeMktg) is the use of AI technological approaches in e-marketing by blending customer data, and Retail 4.0 is the digitisation of the physical shopping experience. Therefore, in the era of Retail 4.0, this study investigates the factors influencing the use of AIeMktg for transforming CE.

The primary data were collected from 305 e-retailer customers, and the analysis was performed using a quantitative methodology.

The results reveal that AIeMktg has tremendous applications in Retail 4.0 for CE. First, it enables marketers to swiftly and responsibly use data to anticipate and predict customer demands and to provide relevant personalised messages and offers with location-based e-marketing. Second, through a continuous feedback loop, AIeMktg improves offerings by analysing and incorporating insights from a 360-degree view of CE.

The main contribution of this study is to provide theoretical underpinnings of CE, AIeMktg, factors influencing the use of AIeMktg, and customer commitment in the era of Retail 4.0. Subsequently, it builds and validates structural relationships among such theoretical underpinning variables in transforming CE with AIeMktg, which is important for customers to expect a different type of shopping experience across digital channels.

Public health measures implemented early in the COVID-19 pandemic brought the idea of essential work into the public discourse, as the public reflected upon what types of work are essential for society to function, who performs that work, and how the labour of essential workers is rewarded. This chapter focusses on the rewards associated with essential work. The authors develop an intersectional lens on work that was officially deemed essential in 2020 to highlight longstanding patterns of devaluation among essential workers, including those undergirded by systemic racism in employment and labour law. The authors use quantitative data from the CPS-MORG to examine earnings differences between essential and non-essential workers and investigate whether the essential worker wage gap changed from month to month in 2020. The authors find that patterns of valuation among essential workers cannot be explained by human capital or other standard labour market characteristics. Rather, intersectional wage inequalities in 2020 reflect historical patterns that are highly durable and did not abate in the first year of the global pandemic.

Previous studies have postulated that an advance payment system (APS) positively impacts the contractor's working capital and is paramount to ensuring an efficient and effective project cash flow process. However, scant research has been undertaken to empirically establish the cash flow performance and domino effect of APS on project and organisational performance.

The epistemological design adopted a positivist philosophical stance augmented by deductive reasoning to explore the phenomena under investigation. Primary quantitative data were collected from 504 Construction Industry Development Board (CIDB) registered contractors (within the grade bandings 1–9) in South Africa. A five-point Likert scale was utilised, and subsequent data accrued were analysed using structural equation modelling (SEM).

Emergent findings reveal that the mandatory use of an APS does not guarantee a positive project cash flow, an improvement in organisational performance or an improvement in project performance.

The ensuing discussion reveals the contributory influence of APS on positive cash flow and organisational performance, although APS implementation alone will not achieve these objectives. Practically, the research accentuates the need for various measures to be concurrently adopted (including APS) towards ensuring a positive project cash flow and improved organisational and project performance.

There is limited empirical research on cash flow performance and the domino effect of APS on project and organisational performance in South Africa, nor indeed, the wider geographical location of Africa as a continent. This study addresses this gap in the prevailing body of knowledge.