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This paper identifies how the operations of labour market intermediaries (LMIs) transform dyadic employment relationships into triadic ones. It reveals the change dynamics that LMIs engage in to bring about this transformation and that contribute to the projectification of work.

Drawing on an institutional-work lens and using interview data from both TempX, a German-based staffing service provider, and its client organizations, the analytical framework details the dynamics by which LMIs appropriate various HR tasks and different labour-market-organizing roles and thus create these triadic employment relationships.

TempX assumes a powerful position between its client organizations and workers by increasingly taking over HR tasks from its client organizations, alternating between profiting from market transactions and engaging as a buyer and seller of labour. This powerful position, gradually created through four distinct, sequential, institutional work dynamics, allows it to transform dyadic employment relationships into triadic ones and to promote project-based work.

By showing how LMIs capitalize on the multiple services they offer, and how they use these services to establish a powerful position in both the labour market and in their relations with client organizations, this paper contributes to research on how LMIs change their institutional environment. Second, by showing that LMIs switch between different labour-market organizing roles and HR tasks, this paper reveals how essential this switching is for LMIs to establish triadic employment relationships and to drive the projectification of work, and thus it also contributes to research on LMIs’ role in the projectification of work.

The objective of this study is to reevaluate the correlation among pharmaceutical consumption, per capita income, and life expectancy across different age groups (at birth, middle age, and advanced age) within the OECD countries between 1998 and 2018.

We employ a two-step methodology, utilizing two independent approaches. Firstly, we con-duct the Dumitrescu-Hurlin pairwise panel causality test, followed by Machine Learning (ML) experiments employing the Causal Direction from Dependency (D2C) Prediction algorithm and a DeepNet process, thought to deliver robust inferences with respect to the nature, sign, direction, and significance of the causal relationships revealed in the econometric procedure.

Our findings reveal a two-way positive bidirectional causal relationship between GDP and total pharmaceutical sales per capita. This contradicts the conventional notion that health expenditures decrease with economic development due to general health improvements. Furthermore, we observe that GDP per capita positively correlates with life expectancy at birth, 40, and 60, consistently generating positive and statistically significant predictive values. Nonetheless, the value generated by the input life expectancy at 60 on the target income per capita is negative (−61.89%), shedding light on the asymmetric and nonlinear nature of this nexus. Finally, pharmaceutical sales per capita improve life expectancy at birth, 40, and 60, with higher magnitudes compared to those generated by the income input.

These results offer valuable insights into the intricate dynamics between economic development, pharmaceutical consumption, and life expectancy, providing important implications for health policy formulation.

Very few studies shed light on the nature and the direction of the causal relationships that operate among these indicators. Exiting from the standard procedures of cross-country regressions and panel estimations, the present manuscript strives to promote the relevance of using causality tests and Machine Learning (ML) methods on this topic. Therefore, this paper seeks to contribute to the literature in three important ways. First, this is the first study analyzing the long-run interactions among pharmaceutical consumption, per capita income, and life expectancy for the Organization for Economic Co-operation and Development (OECD) area. Second, this research contrasts with previous ones as it employs a complete causality testing framework able to depict causality flows among multiple variables (Dumitrescu-Hurlin causality tests). Third, this study displays a last competitive edge as the panel data procedures are complemented with an advanced data testing method derived from AI. Indeed, using an ML experiment (i.e. Causal Direction from Dependency, D2C and algorithm) it is believed to deliver robust inferences regarding the nature and the direction of the causality. All in all, the present paper is believed to represent a fruitful methodological research orientation. Coupled with accurate data, this seeks to complement the literature with novel evidence and inclusive knowledge on this topic. Finally, to bring accurate results, data cover the most recent and available period for 22 OECD countries: from 1998 to 2018.

The aim of this chapter is to explore the safety value of implementing Asimov's Laws of Robotics as a future general framework that humans should obey. Asimov formulated laws to make explicit the safeguards of the robots in his stories: (1) A robot may not injure or harm a human being or, through inaction, allow a human being to come to harm; (2) A robot must obey the orders given to it by human beings except where such orders would conflict with the First Law; (3) A robot must protect its own existence as long as such protection does not conflict with the First or Second Law. In Asimov's stories, it is always assumed that the laws are built into the robots to govern the behaviour of the robots. As his stories clearly demonstrate, the Laws can be ambiguous. Moreover, the laws are not very specific. General rules as a guide for robot behaviour may not be a very good method to achieve robot safety – if we expect the robots to follow them. But would it work for humans? In this chapter, we ask whether it would make as much, or more, sense to implement the laws in human legislation with the purpose of governing the behaviour of people or companies that develop, build, market or use AI, embodied in robots or in the form of software, now and in the future.

This study aims to bring together the available scattered knowledge about teaching and learning in Living Labs within higher education, and to explore their potential for supporting students’ sustainability-oriented transformative learning.

A literature review was conducted, applying a realist approach. A sample of 35 articles was analyzed qualitatively, mapping the data according to the realist constructs “context,” “intervention,” “mechanism” and “outcome” and using the constant comparison method for data analysis.

This study identified multiple characteristics of teaching and learning in sustainability-oriented Living Labs, namely, two socio-physical teaching and learning contexts, two pedagogical approaches as interventions therein, four learning processes as (potential) mechanisms and six sustainability-related learning outcomes. Two main challenges were also identified.

To the best of the authors’ knowledge, this is the first study that brings together the scattered results from previous studies into a comprehensive description of characteristics and challenges of teaching and learning in Living Labs as sustainability-oriented learning spaces in higher education. The findings can support educators in making scientifically grounded informed choices for teaching and learning in Living Labs and inform future empirical studies to examine when, how and why certain characteristics of teaching and learning in Living Labs, as identified in this study, can support sustainability-oriented transformative learning in higher education.

This study aims to examine the impact of firm-level corporate social responsibility (CSR) governance characteristics on the extent, quality and comprehensiveness of CSR reporting of Pakistani listed enterprises.

This study used content analysis of corporate annual reports and stand-alone CSR reports available on corporate websites in 2021 to identify CSR-related governance features and to calculate CSR reporting scores. Multivariate regression is used to test relationships. In addition, the analysis tested the moderating role of profitability in these relationships.

Firm-level CSR governance characteristics contribute to the extent, quality and comprehensiveness of CSR reporting in a developing country. Further, results confirm that profitability moderates the relationship between CSR governance and the extent and comprehensiveness of CSR reporting.

This study employed cross-sectional data and focused on a single developing country. Future studies might include a cross-national sample and longitudinal data to demonstrate the broader relevance of these findings. The outcomes of this study are restricted to CSR disclosures based on CSR reports and annual reports. Future research may examine additional corporate communication channels, such as websites and social media platforms.

This research validates the important role of CSR governance mechanisms as a driver of comprehensive CSR reporting. Business leaders and policymakers can facilitate improved corporate reporting by requiring companies to implement CSR-related governance mechanisms.

This is the first study to test the influence of firm-level CSR governance mechanisms in promoting the quantity, quality and comprehensiveness of CSR reporting in a developing country.

This study aims to examine the mediating role of audit seasonality on the association between audit fees and audit quality in Nigerian deposit money banks.

The sample comprises 14 banks with annual financial statements between 2008 and 2020. The modified Baron and Kenny’s (1986) causal mediation model by Iacobucci et al. (2007) through the use of bootstrapped partial least square structural equation modelling and Sobel’s (1986) z-test is adopted to achieve this study’s objective.

The results of the causal mediation analysis show evidence of a fully mediating role of c between audit fees and audit quality in the Nigerian banking industry.

This study extends the body of knowledge by demonstrating how audit fees influence audit quality through audit seasonality as a mediator in line with the job demands-and resources and conservation of resources theories. Regulatory authorities should be wary of policies that will further increase the workload of already burdened personnel of audit firms as the uniform fiscal year-end of 31 December introduced in the Nigerian banking system has unintended consequences on audit fees and audit quality.

To the best of the author’s knowledge, this is one of the first studies to provide evidence on the indirect association between audit fees and audit quality.

Due to the disruptive nature of digital transformation, firms can hardly ignore the further digitalisation of processes and business models. Implementing such initiatives triggers enormous investments in infrastructure and software, making the evaluation of digital investments crucial for a firm’s competitive situation.

Given the dynamics and uncertainties inherent in digital transformation, a qualitative, inductive research approach based on semi-structured interviews with high-level finance executives has been employed.

Our findings indicate widespread dissatisfaction with traditional investment appraisal methods for evaluating digital investments. Data also suggest that non-financial considerations are frequently taken into account, albeit implicitly, as participants struggled to clearly conceptualize these criteria.

The literature indicates important research gaps regarding the applicability and usage of traditional, predominantly financial, investment appraisal methods in digital contexts. This research enhances our understanding of digital investment evaluation, by (i) developing an exploratory conceptual framework of potential qualitative evaluation criteria and (ii) providing an in-depth and detailed understanding of the barriers to implementing investment appraisal methods.

In response to growing concerns over the negative consequences of Internet addiction on adolescents’ mental health, coupled with conflicting results in this literature stream, this meta-analysis sought to (1) examine the association between Internet addiction and depressive symptoms in adolescents, (2) examine the moderating role of Internet freedom across countries, and (3) examine the mediating role of excessive daytime sleepiness.

In total, 52 studies were analyzed using robust variance estimation and meta-analytic structural equation modeling.

There was a significant and moderate association between Internet addiction and depressive symptoms. Furthermore, Internet freedom did not explain heterogeneity in this literature stream before and after controlling for study quality and the percentage of female participants. In support of the displacement hypothesis, this study found that Internet addiction contributes to depressive symptoms through excessive daytime sleepiness (proportion mediated = 17.48%). As the evidence suggests, excessive daytime sleepiness displaces a host of activities beneficial for maintaining mental health. The results were subjected to a battery of robustness checks and the conclusions remain unchanged.

The results underscore the negative consequences of Internet addiction in adolescents. Addressing this issue would involve interventions that promote sleep hygiene and greater offline engagement with peers to alleviate depressive symptoms.

This study utilizes robust meta-analytic techniques to provide the most comprehensive examination of the association between Internet addiction and depressive symptoms in adolescents. The implications intersect with the shared interests of social scientists, health practitioners, and policy makers.

States retain (socio-political) tools to govern the lives of their population and beyond. Such governing takes place in various offices, where frontline staff need to implement policies that are created at higher levels of the administrative and political hierarchy. This chapter proposes an in-depth view on work that is being done in Swiss resident registration offices, through an ethnographic lens. Following caseworkers in their daily work routines over an extended period allowed me to trace their practices and (in)formal approaches to their work. This chapter delves into longer field note extracts that allow for deeper contextuality. Two key themes that will be engaged with, hustling and shuffling, explore the presence of informality and the consequences that such informal practices have for institutional functioning. First, insights show that a high workload combined with a lack of resources, creates an air of hustling that pushes frontline staff to make up for shortcomings in resources by inventing new and more efficient ways to implement their work. Hustling goes beyond individual coping mechanisms; often embedded in collective routines and practices that are, however, not codified. Second, given the high amount of information, policies and laws frontline workers need to be familiar with, they shuffle around with knowledge and devise productive ways to communicate with each other while remaining able to process cases. As such, informality is neither the opposite to formality nor simply uncodified but can range from spontaneous solutions to established sets of practice that blur the boundary between formal and informal.