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1 – 10 of 17Stratos Moschidis, George Drogalas, Evrikleia Chatzipetrou and Petros Lois
The present paper aims at the identification of the critical variables of risk-based auditing (RBA). The variables under examination are the internal audit (IA), the audit…
Abstract
Purpose
The present paper aims at the identification of the critical variables of risk-based auditing (RBA). The variables under examination are the internal audit (IA), the audit committee (AC) and the cooperation between the RBA and the stakeholders (audit committee, external auditors, internal auditors, board of directors, fraud investigators, chief risk manager) (COOP).
Design/methodology/approach
A questionnaire survey was conducted among 176 Greek companies. The questionnaires were addressed to accountants, internal auditors, managers, chief risk managers and the board of directors. A total of 96 questionnaires have been collected and analyzed. PLS-SEM modeling was used as a tool to test hypotheses and analyze the findings.
Findings
The results show that three variables, i.e. the internal audit, the audit committee and the RBA cooperation with stakeholders have a statistically significant and positive effect on risk-based auditing (RBA). Additionally, the existence of partial-complementary mediation of the internal audit in the audit committee-RBA interaction is confirmed.
Originality/value
This study is an original research that identifies the essential variables of risk-based auditing in Greek companies. It attempts to analyze the perceptions of all stakeholders in risk-based auditing, including the internal audit, the audit committee, etc. and is not restricted only on internal auditors. Furthermore, the analysis is conducted with PLS-SEM Modeling, which is an innovative tool of testing hypotheses and analyzing results.
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The purpose of this study is to examine the relationship between pollutant emissions, financial development and IFRS in developed and developing countries between 1998 and 2022.
Abstract
Purpose
The purpose of this study is to examine the relationship between pollutant emissions, financial development and IFRS in developed and developing countries between 1998 and 2022.
Design/methodology/approach
Data were obtained from World Development Indicators and World Governance Indicators of the World Bank.
Findings
Using FGLS and GMM estimators, the results provide evidence that financial development has a significant positive impact on a variety of pollutant emissions. However, this positive impact is moderated by IFRS for the overall sample and country income groups.
Practical implications
Governments and regulatory organizations should support companies’ investments in clean energy and technologies to slow down environmental degradation. Tax credits and subsidies may be helpful to achieve this goal. Also, governments may encourage companies to cooperate with universities and research institutions to develop environment-friendly production and distribution methods to reduce pollution. Although stakeholders may obtain information about environmental issues in financial statements that are prepared in accordance with IFRS, there is a need for standardization of their contents.
Social implications
Greenhouse gases are major contributors to climate change and global warming. In addition to private costs borne by producers, the production and consumption of products have social costs arising from pollution that affects air, water, and soil. Pollution adversely affects people's physiological and psychological health, which decreases labor productivity, thereby leading to a decrease in economic growth.
Originality/value
According to the author’s knowledge, this is the first study that examines the impact of IFRS on the relationship between financial development and pollutant emissions.
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Dimitar Karadzhov, Graham Wilson, Sophie Shields, Erin Lux and Jennifer C. Davidson
The purpose of this study was to explore 232 service providers’ and policymakers’ experiences of supporting children’s well-being during the pandemic, across sectors, in 22…
Abstract
Purpose
The purpose of this study was to explore 232 service providers’ and policymakers’ experiences of supporting children’s well-being during the pandemic, across sectors, in 22 countries – including Kenya, the Philippines, South Africa, India, Scotland, Sweden, Canada and the USA, in the last quarter of 2020.
Design/methodology/approach
A smartphone survey delivered via a custom-built app containing mostly open-ended questions was used. Respondents were recruited via professional networks, newsletters and social media. Qualitative content analysis was used.
Findings
The findings reveal numerous system-level challenges to supporting children’s well-being, particularly virus containment measures, resource deficiencies and inadequate governance and stakeholder coordination. Those challenges compounded preexisting inequalities and poorly affected the quality, effectiveness and reach of services. As a result, children’s rights to an adequate standard of living; protection from violence; education; play; and right to be heard were impinged upon. Concurrently, the findings illustrate a range of adaptive and innovative practices in humanitarian and subsistence support; child protection; capacity-building; advocacy; digitalisation; and psychosocial and educational support. Respondents identified several priority areas – increasing service capacity and equity; expanding technology use; mobilising cross-sectoral partnerships; involving children in decision-making; and ensuring more effective child protection mechanisms.
Practical implications
This study seeks to inform resilience-enabling policies and practices that foster equity, child and community empowerment and organisational resilience and innovation, particularly in anticipation of future crises.
Originality/value
Using a novel approach to gather in-the-moment insights remotely, this study offers a unique international and multi-sectoral perspective, particularly from low- and middle-income countries.
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Luigi Piper, Lucrezia Maria de Cosmo, M. Irene Prete, Antonio Mileti and Gianluigi Guido
This paper delves into evaluating the effectiveness of warning messages as a deterrent against excessive fat consumption. It examines how consumers perceive the fat content of…
Abstract
Purpose
This paper delves into evaluating the effectiveness of warning messages as a deterrent against excessive fat consumption. It examines how consumers perceive the fat content of food products when presented with two distinct label types: (1) a textual warning, providing succinct information about the fat content, and (2) a pictorial warning, offering a visual representation that immediately signifies the fat content.
Design/methodology/approach
Two quantitative studies were carried out. Study 1 employed a questionnaire to evaluate the efficacy of textual and pictorial warning messages on high- and low-fat food products. Similarly, Study 2 replicated this comparison while incorporating a neuromarketing instrument to gauge participants’ cerebral reactions.
Findings
Results indicate that pictorial warnings on high-fat foods significantly deter consumers’ purchasing intentions. Notably, these pictorial warnings stimulate the left prefrontal area of the cerebral cortex, inducing negative emotions in consumers and driving them away from high-fat food items.
Originality/value
While the influence of images over text in shaping consumer decisions is well understood in marketing, this study accentuates the underlying mechanism of such an impact through the elicitation of negative emotions. By understanding this emotional pathway, the paper presents fresh academic and managerial perspectives, underscoring the potency of pictorial warnings in guiding consumers towards healthier food choices.
Highlights
Textual warnings do not seem to discourage high-fat product consumption.
A pictorial warning represents the fat content of an equivalent product.
Pictorial warnings decrease the intention to purchase a high-fat product.
Pictorial warnings determine an increase in negative emotions.
Textual warnings do not seem to discourage high-fat product consumption.
A pictorial warning represents the fat content of an equivalent product.
Pictorial warnings decrease the intention to purchase a high-fat product.
Pictorial warnings determine an increase in negative emotions.
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Shixuan Fu, Xusen Cheng, Anil Bilgihan and Fevzi Okumus
Images and caption descriptions serve as important visual stimuli that influence consumer preferences; therefore, the current study focuses on property images and captions…
Abstract
Purpose
Images and caption descriptions serve as important visual stimuli that influence consumer preferences; therefore, the current study focuses on property images and captions illustrated on the home pages of accommodation-sharing platforms. Specifically, this study investigates the relative importance of hue, brightness and saturation of a property image and caption description styles on potential consumers’ preferences.
Design/methodology/approach
A mixed-method approach was used, and a total of 293 valid responses were collected through a discrete choice experiment approach. Interviews were conducted for additional analyses to explore the detailed explanations.
Findings
The utility model demonstrated that the image’s saturation was the most critical attribute perceived by the respondents, followed by caption description style, hue and brightness.
Originality/value
This is one of the first studies to investigate the display of attributes on a digital accommodation platform by exploring potential customers’ stated preferences. This study focuses explicitly on images and captions illustrated on the home page of an accommodation booking platform. Detailed image investigation is also a new research area in sharing economy-related research.
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Michel Magnan, Haiping Wang and Yaqi Shi
This study aims to examine the association between fair value accounting and the cost of corporate bonds, proxied by bond yield spread. In addition, this study explores the…
Abstract
Purpose
This study aims to examine the association between fair value accounting and the cost of corporate bonds, proxied by bond yield spread. In addition, this study explores the moderating role of auditor industry expertise at both the national and the city levels.
Design/methodology/approach
This study first examines the effect of the use of fair value on yield spread by estimating firm-level regression model, where fair value is the testing variable and yield spread is the dependent variable. To test the differential impact of the three levels of fair value inputs, this paper divides the fair value measures based on the three-level hierarchy, Level 1, Level 2 and Level 3, and replace them as the test variables in the regression model.
Findings
This study finds that the application of fair value accounting is generally associated with a higher bond yield spread, primarily driven by Level 3 estimates. The results also show that national-level auditor industry expertise is associated with lower bond yield spreads for Level 1 and Level 3 fair value inputs, whereas the impact of city-level auditor industry expertise on bondholders is mainly on Level 3 fair value inputs.
Research limitations/implications
The paper innovates by exploring the impact of fair value accounting in a setting that extends beyond financial institutions, the traditional area of focus. Moreover, most prior research considers private debt, whereas this study examines public bonds, for which investors are more likely to rely on financial reporting for their information about a firm. Finally, the study differentiates between city- and national-level industry expertise in examining the role of auditors.
Practical implications
This research has several practical implications. First, firms seeking to raise debt capital should consider involving auditors, with either industry expertise or fair value expertise, due to the roles that auditors play in safeguarding the reliability of fair value measures, particularly for Level 3 measurements. Second, from standard-setting and regulatory perspectives, the study’s findings that fair value accounting is associated with higher bond yield spread cast further doubt on the net benefits of applying a full fair value accounting regime. Third, PCAOB may consider enhancing guidance to auditors on Level 2 fair value inputs, to further enhance audit quality. Finally, creditors can be more cautious in interpretating accounting information based on fair value while viewing the employment of auditor experts as a positive signal.
Originality/value
First, the paper extends research on the role of accounting information in public debt contracting. Second, this study adds to the auditing literature about the impact of industry expertise. Finally, and more generally, this study adds to the ongoing controversy on the application of fair value accounting.
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Yu Zhou, Lijun Wang and Wansi Chen
AI is an emerging tool in HRM practices that has drawn increasing attention from HRM researchers and HRM practitioners. While there is little doubt that AI-enabled HRM exerts…
Abstract
Purpose
AI is an emerging tool in HRM practices that has drawn increasing attention from HRM researchers and HRM practitioners. While there is little doubt that AI-enabled HRM exerts positive effects, it also triggers negative influences. Gaining a better understanding of the dark side of AI-enabled HRM holds great significance for managerial implementation and for enriching related theoretical research.
Design/methodology/approach
In this study, the authors conducted a systematic review of the published literature in the field of AI-enabled HRM. The systematic literature review enabled the authors to critically analyze, synthesize and profile existing research on the covered topics using transparent and easily reproducible procedures.
Findings
In this study, the authors used AI algorithmic features (comprehensiveness, instantaneity and opacity) as the main focus to elaborate on the negative effects of AI-enabled HRM. Drawing from inconsistent literature, the authors distinguished between two concepts of AI algorithmic comprehensiveness: comprehensive analysis and comprehensive data collection. The authors also differentiated instantaneity into instantaneous intervention and instantaneous interaction. Opacity was also delineated: hard-to-understand and hard-to-observe. For each algorithmic feature, this study connected organizational behavior theory to AI-enabled HRM research and elaborated on the potential theoretical mechanism of AI-enabled HRM's negative effects on employees.
Originality/value
Building upon the identified secondary dimensions of AI algorithmic features, the authors elaborate on the potential theoretical mechanism behind the negative effects of AI-enabled HRM on employees. This elaboration establishes a robust theoretical foundation for advancing research in AI-enable HRM. Furthermore, the authors discuss future research directions.
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Hanna Kinowska and Łukasz Jakub Sienkiewicz
Existing literature on algorithmic management practices – defined as autonomous data-driven decision making in people's management by adoption of self-learning algorithms and…
Abstract
Purpose
Existing literature on algorithmic management practices – defined as autonomous data-driven decision making in people's management by adoption of self-learning algorithms and artificial intelligence – suggests complex relationships with employees' well-being in the workplace. While the use of algorithms can have positive impacts on people-related decisions, they may also adversely influence job autonomy, perceived justice and – as a result – workplace well-being. Literature review revealed a significant gap in empirical research on the nature and direction of these relationships. Therefore the purpose of this paper is to analyse how algorithmic management practices directly influence workplace well-being, as well as investigating its relationships with job autonomy and total rewards practices.
Design/methodology/approach
Conceptual model of relationships between algorithmic management practices, job autonomy, total rewards and workplace well-being has been formulated on the basis of literature review. Proposed model has been empirically verified through confirmatory analysis by means of structural equation modelling (SEM CFA) on a sample of 21,869 European organisations, using data collected by Eurofound and Cedefop in 2019, with the focus of investigating the direct and indirect influence of algorithmic management practices on workplace well-being.
Findings
This research confirmed a moderate, direct impact of application of algorithmic management practices on workplace well-being. More importantly the authors found out that this approach has an indirect influence, through negative impact on job autonomy and total rewards practices. The authors observed significant variation in the level of influence depending on the size of the organisation, with the decreasing impacts of algorithmic management on well-being and job autonomy for larger entities.
Originality/value
While the influence of algorithmic management on various workplace practices and effects is now widely discussed, the empirical evidence – especially for traditional work contexts, not only gig economy – is highly limited. The study fills this gap and suggests that algorithmic management – understood as an automated decision-making vehicle – might not always lead to better, well-being focused, people management in organisations. Academic studies and practical applications need to account for possible negative consequences of algorithmic management for the workplace well-being, by better reflecting complex nature of relationships between these variables.
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Godfred Matthew Yaw Owusu and Charles Ofori-Owusu
In the accounting field, sustainability accounting (SA) has evolved as a valuable tool that links improvements in environmental, social and governance issues to financial…
Abstract
Purpose
In the accounting field, sustainability accounting (SA) has evolved as a valuable tool that links improvements in environmental, social and governance issues to financial performance. This study aims to examine the structure and evolution of SA research, map the state of knowledge and analyse the literature trends and gaps.
Design/methodology/approach
The study adopts a bibliometric review technique with data sourced from the Scopus database. A total of 7,049 extant literature spanning from 1982 to 2022 was analysed using the VOSviewer software.
Findings
The authors find a significant growth in the number of publications on SA research, primarily driven by collaboration among researchers from Europe and America. The analysis highlights emerging themes, structure and discusses in detail the changing phases of SA research over the past four decades while highlighting key events that have impacted the development of SA research. Furthermore, the dominant theories used by extant studies are discussed and potential avenues for future research are provided. The authors draw the attention of the research community to the dominant authors, the most cited articles, prominent publication outlets and countries advancing research in this field.
Originality/value
This study advances knowledge on SA research by providing a retrospective assessment of the state of knowledge in the field while highlighting avenues for future research.
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The purpose of this study is to investigate the moderating effect of board gender diversity on the relationship between sustainability reporting (SR) and earnings management (EM…
Abstract
Purpose
The purpose of this study is to investigate the moderating effect of board gender diversity on the relationship between sustainability reporting (SR) and earnings management (EM) in the East Africa Community (EAC).
Design/methodology/approach
The study analyzed a sample of 71 publicly traded companies from 2011 to 2021.
Findings
The study finds that both SR and board gender diversity have a negative and significant effect on EM and that board gender diversity moderates the relationship between SR and EM.
Practical implications
The findings suggest that boards should support the adoption of SR and increase female representation as a practical way to reduce EM. Policymakers should also implement appropriate measures, such as imposing mandatory SR and gender quotas on corporate boards, to address EM.
Originality/value
This research adds to the limited knowledge of SR and EM in the EAC and also fills a gap in the existing literature by investigating the influence of board gender diversity on the link between SR and EM.
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