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The work of internal auditors is relevant to their host entities' reporting processes; however, few researchers have examined how internal auditors’ competency and objectivity affect their resistance to pressure from host entities regarding their reports. Thus, the main objective of this study is to examine the influence of internal audit functions' (IAF) quality factors on chief audit executives' (CAEs) ability not to modify internal audit report.

This study uses data from the Global Internal Audit Common Body of Knowledge to investigate the relationship between IAF quality and auditor resistance to pressure related to changes in internal audit reports. IAF quality is calculated using a composite measure comprising four IAF quality components. Auditors' resistance is measured using the extent to which internal auditors experienced a situation wherein they were directed to modify a valid audit finding in a report.

The analyses provide evidence that CAEs experience, certification, training and objectivity were all significantly associated with resistance to pressure. In other words, a greater quality of IAF leads to a greater ability to resist pressure to change their reports.

Despite the statistically significant results that confirm the impact of IAF competence and objectivity on the resistance of CAEs to pressure, some other factors should be considered simultaneously in future research. In addition, the study sample contains 2,193 CAEs from different regions, environments, sectors and business areas. Focussing on a particular environment, sector or organisation size may generate different results.

The following practical implications are proposed: First, internal audit regulators will find this study helpful in formulating strategies for creating balanced relationships between CAEs and other authorities and users. Second, CAEs can be encouraged to undergo constant training and complete professional development (as required by the Institute of Internal Auditors [IIA] standard). Finally, it would be interesting to apply this study to a particular environment, sector and size.

This study builds on the limited research that investigates the relationship between IAFs’ quality and the resistance of CAEs to pressure. It extends Calven’s (2021) study that investigates the impact of adherence to the IIA's Core Principles on the likelihood of IAFs modifying valid audit findings. This study examines the influence of IAF quality factors on CAEs' ability not to modify internal audit report.

The purpose of this study is to shed light on the tools, processes and negotiations involved in the formation of acceptable current values in the context of goodwill impairment testing. The study raises the questions of how a current value for goodwill becomes a faithful representation and how one expectation about the future becomes more convincing than other expectations.

Drawing on the study of associations, the analysis presents a case study of a large, internationally active organisation. By combining field notes, interview transcripts and a variety of documents, the qualitative analysis focusses on strategies and mechanisms of persuasion.

The findings reveal how epistemological objectivity of current values forms in three moments of relational becoming that codify, depersonalise and proceduralise the valuation task. Further, the study suggests that a convincing argument forms with the help of four enablers: a bricolage of inscriptions, methodological mystification, transformed professional identities and a practical need for closure.

The study contributes with an analysis and illustration of financial accounting as practice, elaborating on the meaning and construction of faithful representation in cases of measurement uncertainty.

To construct a scientific and reasonable indicator system, it is necessary to design a set of standardized indicator primary selection and optimization inspection process. The purpose of this paper is to provide theoretical guidance and reference standards for the indicator system design process, laying a solid foundation for the application of the indicator system, by systematically exploring the expert evaluation method to optimize the index system to enhance its credibility and reliability, to improve its resolution and accuracy and reduce its objectivity and randomness.

The paper is based on system theory and statistics, and it designs the main line of “relevant theoretical analysis – identification of indicators – expert assignment and quality inspection” to achieve the design and optimization of the indicator system. First, the theoretical basis analysis, relevant factor analysis and physical process description are used to clarify the comprehensive evaluation problem and the correlation mechanism. Second, the system structure analysis, hierarchical decomposition and indicator set identification are used to complete the initial establishment of the indicator system. Third, based on expert assignment method, such as Delphi assignments, statistical analysis, t-test and non-parametric test are used to complete the expert assignment quality diagnosis of a single index, the reliability and validity test is used to perform single-index assignment correction and consistency test is used for KENDALL coordination coefficient and F-test multi-indicator expert assignment quality diagnosis.

Compared with the traditional index system construction method, the optimization process used in the study standardizes the process of index establishment, reduces subjectivity and randomness, and enhances objectivity and scientificity.

The innovation point and value of the paper are embodied in three aspects. First, the system design process of the combined indicator system, the multi-dimensional index screening and system optimization are carried out to ensure that the index system is scientific, reasonable and comprehensive. Second, the experts’ background is comprehensively evaluated. The objectivity and reliability of experts’ assignment are analyzed and improved on the basis of traditional methods. Third, aim at the quality of expert assignment, conduct t-test, non-parametric test of single index, and multi-optimal test of coordination and importance of multiple indicators, enhance experts the practicality of assignment and ensures the quality of expert assignment.

Internal audit is an essential component of the accountability structure in Ghana's local government system. Favourable conditions are required for its operation to assist management bodies to fulfil their responsibilities efficiently and effectively. Using Internal Control-Integrated Framework, this paper investigates the conditions under which internal auditing is carried out in four selected local governments in the Central Region of Ghana.

Based on interpretivism and qualitative approach, purposive sampling technique was used to select 14 key informants at various levels of governance for primary data by the use of key informant interview guide. The data were analysed using pattern matching and content analysis based on themes.

The findings of the study indicate that internal auditors faced unfavourable conditions including intimidation, threats and administrative interference in the course of performing their duties.

This paper is based on qualitative data from four selected local governments in the Central Region of Ghana. Hence these findings are specific to the local governments, internal auditors and management bodies in the country to benefit from them. The implication of the findings is closely related to the efforts to realise the ultimate goal of the recent government reforms and the need for further reforms to enhance independence, objectivity, effectiveness and efficiency.

This study helps management of local governments in finding out conditions under which internal auditing operates. This helps to enhance favourable conditions and minimise the unfavourable conditions for the purpose of efficient and effective utilisation of resources towards improvement of service delivery of local government system to meet the needs of the people.

The study contributes to the understanding and application of Internal Control-Integrated Framework to local government system in the Central Region. It also uses the agency theory to explain the conditions under which internal auditing is carried out in the selected local government institutions.

This study provides new insight into the conditions of carrying out internal auditing in local governments and raises awareness of stakeholders on the need to enhance service delivery to the people. It also introduces a novel idea of placing all internal auditors under a newly established Internal Audit Class to advance independence and objectivity.

The aim of this study is to empirically explore and analyze the concrete tasks of output measurement and the inherent challenges related to these tasks in a traditional and autonomous professional public work setting – the judicial system.

The analysis of the tasks is based on a categorization of general performance measurement motives (control-motivate-learn) and main stakeholder levels (society-organization-professionals). The analysis is exploratory and conducted as an empirical content analysis on materials and reports produced in two performance improvement projects conducted in European justice organizations.

The identified main tasks in the different categories are related to managing resources, controlling performance deviations, and encouraging improvement and development of performance. Based on the results, key improvement areas connected to output measurement in professional public organizations are connected to the improvement of objectivity and fairness in budgeting and work allocation practices, improvement of output measures' versatility and informativeness to highlight motivational and learning purposes, improvement of professional self-management in setting output targets and producing outputs, as well as improvement of organizational learning from the output measurement.

The paper presents empirically founded practical examples of challenges and improvement opportunities related to the tasks of output measurement in professional public organization.

This paper fulfils an identified need to study how general performance management motives realize as concrete tasks of output measurement in justice organizations.

This article aims to elaborate the context-sensitive nature of credibility assessment by examining how such judgments are made in online discussion in times of uncertainty caused by Finland's intent to join the North Atlantic Treaty Organization (NATO) in spring 2022.

The empirical findings draw on the qualitative content analysis of 3,324 posts submitted to a Finnish online discussion in February–March 2022. It was examined how the participants of online discussion assess the credibility of information sources referred to in debates on the NATO membership. It is assumed that the believability of the author of information is indicative of his or her expert power, for example based on the credentials of a scholar, while the credibility of information content, for example the provision of factual evidence is indicative of the source's informational power.

Political decision-makers, particularly the President of Finland were assessed as most credible information sources, due to their access to confidential knowledge and long-time experience in politics. The credibility assessments differed more strongly while judging the believability of researchers. On the one hand, their expertise was praised; on the other hand, doubts were presented about their partiality. Fellow participants of online discussion were assessed most negatively because information sources of these types are associated with low expert and informational power.

As the study concentrated on credibility assessments made in a Finnish online discussion group, the findings cannot be extended to concern the credibility judgments occurring information in other contexts.

The study is among the first to characterize the role of expert and informational power in credibility assessment in times of uncertainty.

This article aims to explain the role of philosophical anchors and research paradigms in business research, and how they can be extrapolated in the transformative era of automation, digitalization, hyperconnectivity, obligations, globalization and sustainability (ADHOGS) in the midst of disruption, volatility, uncertainty, complexity and ambiguity (DVUCA).

This article entails a general review based on the 3Es of exposure, expertise and experience, delving into the ontological, epistemological, methodological, axiological and rhetorical aspects of the major research paradigms—i.e. positivism, post-positivism, constructivism, interpretivism and pragmatism—and their interplay with the emergent trends shaping business research.

This article underscores the multifaceted nature of business research in the modern day, with an increasing need for blending, or shifting between, research paradigms to address the complex issues arising from automation, digitalization, hyperconnectivity, obligations, globalization and sustainability (ADHOGS). This article also highlights the nuanced interplay between research paradigms and theoretical perspectives, demonstrating the rich, diverse potential of business research inquiries.

While this article provides a broad overview of the interplay between research paradigms and emerging trends, future research could explore each of these interplays in greater detail, conducting empirical studies or utilizing specific case studies.

Researchers and practitioners should be open to adopting, combining or switching between different paradigms according to the demands of their research questions, context and trends shaping the business landscape, thereby underscoring the need for methodological flexibility and reflexivity in business research.

The shift toward embracing digital transformations and integrating sustainability in business research holds significant implications, driving socially responsible and sustainable business practices at the micro-level, and by extension, industrial revolution and sustainable development at the macro-level.

This article offers a holistic and contextualized view of the philosophy of science and research paradigms for business research, bridging the gap between philosophical foundations and contemporary research trends.

The purposes of this research are to study the theory and method of multi-attribute index system design and establish a set of systematic, standardized, scientific index systems for the design optimization and inspection process. The research may form the basis for a rational, comprehensive evaluation and provide the most effective way of improving the quality of management decision-making. It is of practical significance to improve the rationality and reliability of the index system and provide standardized, scientific reference standards and theoretical guidance for the design and construction of the index system.

Using modern methods such as complex networks and machine learning, a system for the quality diagnosis of index data and the classification and stratification of index systems is designed. This guarantees the quality of the index data, realizes the scientific classification and stratification of the index system, reduces the subjectivity and randomness of the design of the index system, enhances its objectivity and rationality and lays a solid foundation for the optimal design of the index system.

Based on the ideas of statistics, system theory, machine learning and data mining, the focus in the present research is on “data quality diagnosis” and “index classification and stratification” and clarifying the classification standards and data quality characteristics of index data; a data-quality diagnosis system of “data review – data cleaning – data conversion – data inspection” is established. Using a decision tree, explanatory structural model, cluster analysis, K-means clustering and other methods, classification and hierarchical method system of indicators is designed to reduce the redundancy of indicator data and improve the quality of the data used. Finally, the scientific and standardized classification and hierarchical design of the index system can be realized.

The innovative contributions and research value of the paper are reflected in three aspects. First, a method system for index data quality diagnosis is designed, and multi-source data fusion technology is adopted to ensure the quality of multi-source, heterogeneous and mixed-frequency data of the index system. The second is to design a systematic quality-inspection process for missing data based on the systematic thinking of the whole and the individual. Aiming at the accuracy, reliability, and feasibility of the patched data, a quality-inspection method of patched data based on inversion thought and a unified representation method of data fusion based on a tensor model are proposed. The third is to use the modern method of unsupervised learning to classify and stratify the index system, which reduces the subjectivity and randomness of the design of the index system and enhances its objectivity and rationality.

This paper examines the contested value of healthy life and wellbeing in a context of severe austerity, exploring how the value of “Public Health” is constructed through and with material-discursive practices and accounting representations. It seeks to explore the political and ethical implications of constructing the valuable through a shared consensus over the “facts” when addressing complex, multi-agency problems with long time horizons and outcomes that are not always easily quantifiable.

The theorisation, drawing on science and technology studies (STS) scholars and Karen Barad's (2007) agential realism, opens up the analysis to the performativity of both material and discursive practices in the period following a major re-organisation of activity. The study investigates two case authorities in England and the national regulator through interviews, observations and documentary analysis.

The paper demonstrates the deeply ethical and political entanglements of accounting representations as objectivity, consensus and collective action are constructed and resisted in practice. It goes on to demonstrate the practical challenges of constructing “alternative accounts” and “intelligent accountabilities” through times of austerity towards a shared sense of public value and suggests austerity measures make such aims both more challenging and all the more essential.

Few studies in the accounting literature have explored the full complexity of valuation practices in non-market settings, particularly in a public sector context; this paper, therefore, extends familiar conceptual vocabulary of STS inspired research to further explore how value(s), ethics and identity all play a crucial role in making things valuable.