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The purpose of the research was to evaluate the relationship between income and the recycled materials used in order to rate the business related to circular repair services under the burden of economic development in the countries of the European Union.

The analytical processes explore data from 2010 to 2020. The countries were divided into clusters according to economic maturity (Human Development Index (HDI), real Gross domestic product (GDP) per capita). Subsequently, the relationships were evaluated through the income indicators (for the 13 population groups), and the circular materials use rate indicator. The three indicators decomposed into five specific metrics were employed. The commonly applied characteristics of the descriptive analysis, Pearson's correlation coefficient and the panel regression analysis were engaged in the investigation.

The results demonstrated the vast disparities between income and circular materials use. In the more economically developed countries, their levels were twice higher as the less-developed countries. However, there is a meaningful positive relationship between them. The greatest attention was paid to the panel regression analysis applied to the relationship between income and circular economy (CE) use. The results showed that in a majority of the cases (different income categories), there is a significant positive relationship. When comparing the outcomes of the regression models between the groups of the countries according to their economic development, a closer relationship was clearly demonstrated in the countries with a lower level of development (Bulgaria, Romania, Croatia, Hungary).

Besides the specific strengths, the study also shows some limitations identified mainly on the data side. The latest data on the consumption of circular materials come from 2020, so they do not cover the period related to the pandemic crisis. It is believed that there may have been some changes in income during the pandemic, and they may have harmed CE. Furthermore, there is to note that some limitations occur in the analytical process. The incompleteness of the data can also be included here as certain data is not available; hence, it was estimated directly by the Eurostat statistical authority.

At the same time, the following are currently considered among the primary barriers: financial restrictions, insufficient infrastructure, weak government support and obstacles on the global market. Consumers, industry leaders and the government are the most influential stakeholder groups in overcoming barriers. Higher demand for repair services will also initiate further development of business activities in this area at various regional levels. Progress in the repair services economy will continue to require extensive efforts in the future. Systematic coordination of activities at multiple levels of government together with manufacturers, designers, educational institutions, community institutions and individuals will be essential.

Socioeconomic characteristics such as sex, age and education represent crucial predictors of consumer behavior. Therefore, the authors would like to focus future research on analyzing these characteristics and examine all the conceptual frameworks of consumer behavior and its positioning in detail within CE and the strategies related to the repair service. Discussing this issue through follow-up research will allow for solving complex transformational and political tasks related to the repair service strategies within CE. It will also inspire the discussion frameworks and multidisciplinary solutions to this issue affecting the fields of human geography, sociological, ethnographic and political sciences.

In less-developed countries, wage change can have a more substantial impact on the development of the CE. Also, a closer relationship between business in the field of repair services with income and the use of circular materials was manifested in the same way.

Bangladesh recently experienced frequent demonstrations by drivers of ridesharing applications. Since the drivers are not excluded from the technology environment, rather they are a part of the digital ecosystem, these protests may point toward the existence of unequal interactional outcomes for different stakeholders afforded by the digital system within the country’s social and cultural contexts. This research is an attempt to unveil the reasons behind value inequality experienced by drivers of ridesharing applications in Bangladesh and understand how power asymmetries influence adverse digital incorporation that can result in the emergence of resistance.

We obtain the data by conducting interviews with 91 drivers of ridesharing platforms in Dhaka, Bangladesh and analyze our data using thematic analysis. We propose an integrated framework unifying adverse digital incorporation (ADI) with the “powercube” model to illuminate our inquiry.

We find the existence of all three drivers to ADI – ignorance/deceit, direct compulsion and exclusion – exclusion being the most prevalent – that are experienced by the drivers of ridesharing applications in Bangladesh. We also find support for the four causes behind value inequality – design inequality, resource inequality, institutional inequality and relational inequality with the respondents placing the highest emphasis on relational inequality. There are visible, hidden and invisible forms of power involved in how the drivers are incorporated into the ridesharing platforms. The forms of power in the platform environment are exercised primarily in closed spaces and the invited spaces for the drivers are very few. The drivers in response to the closed spaces of power create their own space (claimed space) through the help of social media and other messaging apps. We also find that the power over the drivers is exercised at global, national and local levels.

Our research identifies norms specific to the social and cultural contexts of Bangladesh and can help decision-makers to make more informed choices during the formulation of future digital platform guidelines. Based on the research findings, the paper also makes short-term and long-term policy recommendations.

This research has implications for creating a decent work environment for ridesharing drivers which broadly falls under the Sustainable Development Goal 8 (SDG 8).

To the best of the authors’ knowledge, this is the first paper that integrates the ADI model with the “powercube” framework to reveal that the drivers working on the ridesharing platforms in Bangladesh are adversely incorporated into the digital system where value inequalities are operating within the power dimensions.

This study aims to explore the relationship between chief executive officer (CEO) power and stock price crash risk in India. Furthermore, it seeks to analyse how insider trades may moderate the impact of CEO power on stock price crash risk.

A study of 236 companies from the S&P BSE 500 Index (2014–2023) have been analysed through pooled ordinary least square (OLS) regression in the baseline analysis. To enhance the results' reliability, robustness checks include alternative methodologies, such as panel data regression with fixed-effects, binary logistic regression and Bayesian regression. Additional control variables and alternative crash risk measure have also been utilised. To address potential endogeneity, instrumental variable techniques such as two-stage least squares (IV-2SLS) and difference-in-difference (DiD) methodologies are utilised.

Stakeholder theory is supported by results revealing that CEO power proxies like CEO duality, status and directorship reduce one-year ahead stock price crash risk and vice versa. Insider trades are found to moderate the link between select dimensions of CEO power and stock price crash risk. These findings persist after addressing potential endogeneity concerns, and the results remain consistent across alternative methodologies and variable inclusions.

This study significantly advances research on stock price crash risk, especially in emerging economies like India. The implications of these findings are crucial for investors aiming to mitigate crash risk, for corporations seeking enhanced governance measures and for policymakers considering the economic and welfare consequences associated with this phenomenon.

The purpose of this inductive, exploratory study is to provide foundational insights into the role of management control in dealing with dysfunctional behaviour within accounting schools in changing environment of Australian universities.

Evidence is drawn from semi-structured interviews with 28 current or previous heads of school, research deans, deans of teaching and learning, school managers and human resource managers from 16 Australian universities and interpreted from the theoretical perspective of rational choice theory.

The findings suggest the incidence of a range of dysfunctional behaviours occurring in accounting schools. Even when such behaviours are limited in frequency, their consequences are nevertheless found to have far-ranging and potentially destructive change impacts for both individuals and the university. Formal management control systems designed to address such behaviours are perceived to be largely ineffective in identifying, managing, eliminating or even mitigating the consequences of such dysfunctionality. Instead, it is informal control processes that are preferred in dealing with dysfunctionality.

This study enhances our understanding of the role of management control in dealing with dysfunctional behaviour within university accounting schools, and points not only to the difference between the design and use of management controls but also to the implications of this disconnect between the underlying intent of control design and their actual use in the context of environments that are subject to significant change.

This study examines the impact of audit partner tenure on Key Audit Matters (KAM) disclosures within Gulf Cooperation Council (GCC) countries. It explores how Hofstede’s cultural dimensions influence this relationship, elucidating the effect of cultural context on auditing practices.

Utilizing a sample of 456 non-financial firms in the GCC from 2016 to 2021, the study employs regression analyses to explore audit partner tenure's influence on KAM disclosures and the moderating effects of Hofstede's dimensions of power distance, individualism, masculinity and uncertainty avoidance. This affords a detailed examination of individual and cultural impacts on audit quality.

Results reveal a positive relationship between audit partner tenure and KAM disclosures, suggesting that firm-specific knowledge and industry expertise acquired over a long tenure may enhance auditors' ability to identify and report significant matters. Power distance and uncertainty avoidance amplify this effect, whereas individualism diminishes it. Masculinity does not yield significant results.

This study underscores the need for auditing standards to reflect the complex interplay of auditor tenure and cultural dynamics in the profession's global landscape.

This research contributes to the literature on audit quality by highlighting the formative role of individual auditors and cultural characteristics in KAM disclosure practices. It is among the first to quantitatively analyse the intersection of audit partner tenure and culture in the GCC. It provides valuable insights for regulators, practitioners and policymakers seeking to enhance audit practices across diverse cultural environments.

This research paper examines the perspectives of marketing professionals on the impact of AI on marketing strategies.

Through interviews with 34 marketers in Singapore, the study uncovers the benefits, challenges, and potential risks associated with AI implementation.

The findings reveal improved efficiency, enhanced customer insights, and personalized marketing experiences as benefits of AI. Challenges identified include skill gaps, ethical considerations, resource constraints, and resistance to change.

The research provides important implications for marketers and companies, guiding decision-making and promoting the responsible adoption of AI in marketing strategies.

This study aims to comprehensively address the challenge of delineating traffic scenarios in video footage captured by an embedded camera within an autonomous vehicle.

This methodology involves systematically elucidating the traffic context by leveraging data from the object recognition subsystem embedded in vehicular road infrastructure. A knowledge base containing production rules and logical inference mechanism was developed. These components enable real-time procedures for describing traffic situations.

The production rule system focuses on semantically modeling entities that are categorized as traffic lights and road signs. The effectiveness of the methodology was tested experimentally using diverse image datasets representing various meteorological conditions. A thorough analysis of the results was conducted, which opens avenues for future research.

Originality lies in the potential integration of the developed methodology into an autonomous vehicle’s control system, working alongside other procedures that analyze the current situation. These applications extend to driver assistance systems, harmonized with augmented reality technology, and enhance human decision-making processes.

Trust is the glue that holds cooperative relationships together and often exists in an asymmetric manner. The purpose of this study is to explore how to mitigate the issue of losses or increased transaction costs caused by opportunistic behavior in a soft environment where trust asymmetry is quite common and difficult to avoid.

This study focuses on examining asymmetric trust between the government and the private sector in public-private partnership (PPP) projects. Drawing upon both project realities and relevant literature, the primary conditional variables influencing asymmetric trust are identified. These variables encompass power perception asymmetry, information asymmetry, interaction behavior, risk perception differences and government-side control. Subsequently, through the use of a survey questionnaire, binary-matched data from both the government and the private sector are collected. The study employs fuzzy-set qualitative comparative analysis (fsQCA) to conduct a configurational analysis, aiming to investigate the causal pathways that trigger asymmetric trust.

No single conditional variable is a necessary condition for the emergence of trust asymmetry. The pathways leading to a high degree of trust asymmetry can be categorized into two types: those dominated by power perception and those involving a combination of multiple factors. Differences in power perception play a crucial role in the occurrence of high trust asymmetry, yet the influence of other conditional variables in triggering trust asymmetry should not be overlooked.

The findings can contribute to advancing the study of trust relationships in the field of Chinese PPP projects. Furthermore, they hold practical value in facilitating the enhancement of trust relationships between the government and the private sector.

This paper aims to explore how critical digital and data literacies are facilitated by testing different methods in the classroom, with the ambition to find a pedagogical framework for prompting sustained critical literacies.

This contribution draws on a 10-year set of critical pedagogy experiments conducted in Denmark, USA and Italy, and engaging more than 1,500 young adults. Multi-method pedagogical design trains students to conduct self-oriented guided autoethnography, situational analysis, allegorical mapping, and critical infrastructure analysis.

The techniques of guided autoethnography for facilitating sustained data literacy rely on inviting multiple iterations of self-analysis through sequential prompts, whereby students move through stages of observation, critical thinking, critical theory-informed critique around the lived experience of hegemonic data and artificial intelligence (AI) infrastructures.

Critical digital/data literacy researchers should continue to test models for building sustained critique that not only facilitate changes in behavior over time but also facilitate citizen social science, whereby participants use these autoethnographic techniques with friends and families to build locally relevant critique of the hegemonic power of data/AI infrastructures.

The proposed literacy model adopts a critical theory stance and shows the value of using multiple modes of intervention at micro and macro levels to prompt self-analysis and meta-level reflexivity for learners. This framework places critical theory at the center of the pedagogy to spark more radical stances, which is contended to be an essential step in moving students from attitudinal change to behavioral change.