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Critical examination of Bangladeshi laws related to workers’ rights in the garment industry. This paper aims to examine the impact of foreign direct investment (FDI) on the protection of garment workers’ rights in Bangladesh, analyzing how international investment practices influence labor standards and the overall well-being of workers in the garment industry.

In this study, qualitative and analytical methods has been used to analyze legal frameworks related to labor rights in Bangladesh and BITs.

The findings indicate a need to strengthen the current legal framework to better protect workers' rights in Bangladesh. The study also provides recommendations for the relevant authorities to improve the existing laws.

Novel idea critically evaluating the Bangladeshi legal framework in the context of foreign direct investment and implications for worker's rights.

Warehouses are under pressure to operate as efficiently as possible. In pursuit of attaining high efficiency in the order picking process, the warehouse manager must take several planning decisions, typically supported by a central planning system. However, highly centralised work erodes the autonomy of warehouse workers, interfering with worker well-being and productivity. This study holistically explores the impact of a work system with more decision autonomy for order pickers.

We conduct a unique field experiment in a real-world warehouse and use a within-subjects design to compare two work systems, one with worker autonomy and one without. 18 permanent employees participate in our study, in which we measure both psychosocial and physical well-being as well as productivity. Post-experimental interviews are conducted to delve deeper into the observed effects.

Our study illustrates that involving order pickers in operational decisions can benefit their job satisfaction and motivation without compromising productivity. Although we fail to find significance at the conventional level (α = 0.05), we do find marginally significant effects of our treatment on physical well-being aspects. Furthermore, our intervention invoked a highly positive user experience.

We show that slightly loosening tight process control results in organisational and individual benefits without endangering smooth operational flows. The warehouse in this paper acknowledged this and decided to permanently work according to this philosophy.

This study is the first to holistically explore the effects of a participatory work setting in a real-world warehouse.

With the launch of the Feminist International Assistance Policy (FIAP), the Canadian government named solidarity as a shared value and a driving motivation behind the FIAP. This paper explores how development workers understand and apply solidarity to their work, uncovering the opportunities and constraints they face.

In-depth, semi-structured interviews were conducted with 42 development workers from Canada’s federal development agency between 2019 and 2020. Transcribed data were coded by the author to identify how workers made sense of solidarity within the development industry.

The majority of workers were unsure of how to define or operationalize solidarity, demonstrating confusion. Commonality was routinely mentioned as a facet of solidarity, but workers understood this term in diverse ways, with some considering commonality as a precondition that inhibited a sense of solidarity with development partners in the global South due to differences in living conditions. About a quarter identified power and privilege as necessary considerations in the process of building solidarity, showing potential for bonds across the inequalities that define development. About 40% of workers identified the institutional structure of the organization as an obstacle to solidarity.

This paper presents original data from Canadian development workers, providing the first study of their understanding of solidarity as a development ethic. It shows the gaps between rhetoric and practice while recommending ways for development organizations to meaningfully engage with solidarity in their work.

The Covid-19 pandemic appears to have engendered heterogeneous effects on individuals’ labour market prospects. This paper focuses on two possible sources of a heterogeneous exposition to labour market risks associated with the pandemic outbreak: the routine task content of the job and the teleworkability. To evaluate whether these dimensions played a crucial role in amplifying employment and wage gaps among workers, we focus on the case of Italy, the first EU country hit by Covid-19.

Investigating the actual effect of the pandemic on workers employed in jobs with a different degree of teleworkability and routinization, using real microdata, is currently unfeasible. This is because longitudinal datasets collecting annual earnings and the detailed information about occupations needed to capture a job’s routine task content and teleworkability are not presently available. To simulate changes in the wage distribution for the year 2020, we have employed a static microsimulation model. This model is built on data from the Statistics on Income and Living Conditions (IT-SILC) survey, which has been enriched with administrative data and aligned with monthly observed labour market dynamics by industries and regions.

We measure the degree of job teleworkability and routinization with the teleworkability index (TWA) built by Sostero et al. (2020) and the routine-task-intensity index (RTI) developed by Cirillo et al. (2021), respectively. We find that RTI and TWA are negatively and positively associated with wages, respectively, and they are correlated with higher (respectively lower) risks of a large labour income drop due to the pandemic. Our evidence suggests that labour market risks related to the pandemic – and the associated new types of earnings inequality that may derive – are shaped by various factors (including TWA and RTI) instead of by a single dimension. However, differences in income drop risks for workers in jobs with varying degrees of teleworkability and routinization largely reduce when income support measures are considered, thus suggesting that the redistributive effect of the emergency measures implemented by the Italian government was rather effective.

No studies have so far investigated the effect of the pandemic on workers employed in jobs with a different degree of routinization and teleworkability in Italy. We thus investigate whether income drop risks in Italy in 2020 – before and after income support measures – differed among workers whose jobs are characterized by a different degree of RTI and TWA.

Drawing on interviews with two types of essential workers – wound clinicians and care workers – the chapter examines stigma management in dirty care work through the lens of emotion management. The study combines two dimensions of dirty work: physical taint in relation to bodywork and social taint linked to working in close proximity to socially stigmatized clients. Hence, stigma management extends to dealing with the physically and socially dirty features of essential care work. In addition, the authors’ assessment of social stigma includes how essential care workers also sought to alleviate the social stigma encountered by their clients. In so doing, the authors extend the literature on dirty work to identify how emotion management skills are central to the stigma management strategies of the essential care workers in this study. The authors demonstrate how both groups deal with their stigma by emphasizing the emotion management skills in ‘doing’ dirty work and in the ‘purpose’ of this work, which includes acknowledging how the authors attempt to address the social taint encountered by their clients. Additionally, by comparing two occupations with different contexts and conditions of work, the authors show how complex emotion management skills are gendered in care work to expand the understanding of gender and stigma management. Furthermore, these emotion management skills emanate from the deep relational work with clients rather than through occupational communities. The authors argue that by focussing on emotion management, the hidden skills of dirty work in gendered care work are illuminated and contribute to contemporary debates about whether stigma can be overcome.

This study applies Garfinkel’s (1967) concept of ‘breaching experiment’ to explore the impact of COVID-19-induced disruptions on the ‘emotion management’ practices of residential care workers in the United Kingdom and Germany. It examines the influence of professional feeling rules on workers, emphasizing the prescribed importance of displaying affective, empathetic concern for residents’ health and well-being. Findings demonstrate that authenticity and adherence to professional feeling rules in relation to emotional management are not mutually exclusive. The authors underscore how adherence to professional feeling rules upholds authentic care by reinforcing a professional ethos, which acts as a cornerstone motivating residential care workers. Ultimately, the study showcases how a professional ethos substantiates altruistic motivations, guiding proficient emotion management practices among care workers. It highlights how these workers drew upon their personal understanding and experiences to determine the appropriate emotions to express while providing care for residents amid the unprecedented challenges of the pandemic.

Organizational scholars studying compensation often place an emphasis on certain employee groups (e.g., executives). Missing from this discussion is research on the compensation systems for low-wage jobs. In this review, the authors argue that workers in low-wage jobs represent a unique employment group in their understanding of rent allocation in organizations. The authors address the design of compensation strategies in organizations that lead to different outcomes for workers in low-wage jobs versus other workers. Drawing on and integrating human resource management (HRM), inequality, and worker literatures with compensation literature, the authors describe and explain compensation systems for low-wage work. The authors start by examining workers in low-wage work to identify aspects of these workers’ jobs and lives that can influence their health, performance, and other organizationally relevant outcomes. Next, the authors explore the compensation systems common for this type of work, building on the compensation literature, by identifying the low-wage work compensation designs, proposing the likely explanations for why organizations craft these designs, and describing the worker and organizational outcomes of these designs. The authors conclude with suggestions for future research in this growing field and explore how organizations may benefit by rethinking their approach to compensation for low-wage work. In sum, the authors hope that this review will be a foundational work for those interested in investigating organizational compensation issues at the intersection of inequality and worker and organizational outcomes.

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.

This comparative book review is concerned with two recent studies of essential workers in Germany: Jana Costas’ Dramas of Dignity and Peter Birke’s Grenzen aus Glas [literally ‘borders made from glass’]. While Costas is interested in studying how individual cleaners preserve their sense of dignity despite their widely believed stigmatizing work roles, Birke is interested in the power resources migrant workers can potentially mobilize for improving their working conditions despite the multi-dimensional (inter-sectional) precarity they confront in their life situation. In the context of German industrial and organizational sociology, both studies represent comparatively rare exemplars of detailed qualitative and ethnographic work that illuminate the labour process from taking a workers’ perspective. Using different approaches to fieldwork, both studies reveal the precarious nature of being an essential worker in areas such as meat packing, warehouse work, and cleaning. This general observation gives rise to some concluding speculations about the emancipatory potential of ethnographic research, in labour studies and beyond.

The purpose of this study is to provide a detailed demonstration of how artificial intelligence (AI) can be used to potentially generate valuable insights and recommendations regarding the role of accounting in addressing key sustainability-related issues.

The study offers a novel method for leveraging AI tools to augment traditional scoping study techniques. The method was used to show how the authors can produce recommendations for potentially enhancing organisational accountability pertaining to seasonal workers.

Through the use of AI and informed by the knowledge base that the authors created, the authors have developed prescriptions that have the potential to advance the interests of seasonal workers. In doing so, the authors have focussed on developing a useful and detailed guide to assist their colleagues to apply AI to various research questions.

This study demonstrates the ability of AI to assist researchers in efficiently finding solutions to social problems. By augmenting traditional scoping study techniques with AI tools, the authors present a framework to assist future research in such areas as accounting and accountability.