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This study examines the impact of the Association to Advance Collegiate Schools of Business (AACSB) accreditation on education quality. We discern the prospective influences of AACSB, focusing on shifts in teaching methods and content and assessment procedures.

Using a case study approach, in-depth interviews are conducted with a Japanese-accredited business school’s faculty members to understand their perceptions of the school’s education-quality issues. The data were thematically analyzed.

Respondents acknowledged that AACSB accreditation has positively influenced teaching, encouraging active learning and the case method. However, they also indicated that accreditation had a restrictive effect on assessment activities, pushing toward compliance rather than genuine learning evaluation. This dichotomy suggests a need for balancing standard adherence with the flexibility to maintain educational depth and assessment integrity.

Convenience sampling may introduce self-selection bias. Furthermore, the qualitative case study approach does not allow for statistical generalization. However, when combined with existing literature, the findings can be analytically generalized and transferred to other contexts.

We provide insights regarding AACSB accreditation’s impact on business education, encompassing shifts in teaching methods and content and faculty perceptions of assessment. This study enhances the scholarly understanding of business school accreditation and offers guidance to accredited or accreditation-seeking academic institutions.

The purpose of this research is to study how compliance evaluation becomes performed in practice. Compliance evaluation is a common practice among organizations that need to evaluate their posture against a set of criteria (e.g. a standard, legislative framework and “best practices”). The results of these evaluations have significant importance for organizations, especially in the context of information security and continuity. The author argues that how these evaluations become performed is not merely a “social” activity but shaped by the materiality of the evaluation criteria

The authors adopt a sociomaterial practice-based view to study the compliance evaluation through in situ participant observations from compliance evaluation workshops to evaluate organizational compliance against a information security and business continuity criteria. The empirical material was analyzed to construct vignettes that serve to illustrate the practice of compliance evaluation.

The research analysis shows how the information security and business continuity criteria themselves partake in the compliance evaluations by operating through (ventriloqually) the evaluators on three strata: the material, the textual and the structural. The author also provides a conceptualization of a hybrid agency.

This research contributes to lack of studies on the organizational-level compliance. Further, the research is an original contribution to information security and business continuity management by focusing on the practices of compliance evaluation. Further, the research has theoretical novelty by adopting the ventriloqual agency as a hybrid agency to study the sociomateriality of a phenomenon.

This study aims to investigate the certainty of small business (SB) taxpayers about the presumptive tax law concerning the assessment of income tax based on gross turnover and how this impacts their income tax compliance.

The study adopted the exploratory research design. The saturation point was attained upon interviewing nine owners of SB enterprises, eight tax officers from the Uganda Revenue Authority and eight tax consultants. Themes were identified and explained using verbatim texts from the various interviews. Data were analyzed using the content analysis technique.

The findings indicate that SB taxpayers are uncertain about the nature of the presumptive tax, that it is assessed based on annual sales, indicators used to determine gross turnover and their actual tax liability. This has occasioned resistance to the tax system and inhibited voluntary compliance. SB taxpayers thus opt to wait for the tax officers to make tax assessments. However, they have used this opportunity to bribe or bargain with tax officers to pay low amounts in tax or no tax at all. Thus, policymakers and revenue authorities ought to concentrate on creating massive sensitization of the law on presumptive tax, in this case, the existing tax base on which the tax is imposed and its elements to improve income tax compliance of SBs.

These results are relevant to policymakers and Revenue authorities in developing countries, especially in Africa, in improving income tax compliance of SBs.

This study examines the contribution of certainty of the income tax law on the tax base (gross turnover) on which presumptive tax is imposed to income tax compliance of SBs, which has hardly been covered in previous studies.

This paper aims to provide authorities managing free trade zones, business enterprises, financial institutions and dedicated free zone customs, police and immigration command assigned to deal with aspects of movement of goods and persons in and out of the free zones with a clear understanding of the cross-border financial crime risks associated with the African Continental Free Trade Area and the risk control measures that combines human intelligence with advanced technology to combat cross-border financial crimes in the African Continental Free Trade Area.

A range of research activities would be used in this study. In addition to a sweeping literature review of academic, official studies and media writings, the main focus is on critically evaluating and analysing primary data by searching and collecting statutes, court cases, administrative rules and regulations and policy documents.

This paper identified bribery and corruption; modern slavery; and trade-based money laundering as the financial crime risks that are of priority concern to African Continental Free Trade Areas and demonstrated how countries can assess and mitigate these risks through adequate policies, procedures and controls including appropriate compliance management arrangement and adequate screening procedures to ensure high standards when hiring employees; corporate transparency; training on managing incidents of modern slavery, forced labour and third-party exploitation; and appropriate monitoring framework for trade-based money laundering activities.

While many authors have written research papers on intra-African trade, none of those research papers explained how countries can assess and mitigate financial crime risks in free trade zones. This research paper describes the ways in which cross-border financial crime risks can be assessed and adequately addressed by the authorities managing free trade zones. This research paper analyses the risk assessment topic in line with the African Continental Free Trade Area with a focus on free trade zones in Nigeria. This research paper would help authorities managing free trade zones, commercial organisations and business enterprises to identify, prevent and mitigate cross-border financial crime risks. Zone managements and business enterprises that implement the risk-based approach, in line with the guidance given in this research paper, will be well-placed to avoid the consequences of inappropriate de-risking behaviour.

The purpose of this study is to develop a method to assess social performance. Traditionally, environment, social and governance (ESG) rating providers use subjectively weighted arithmetic averages to combine a set of social performance (SP) indicators into one single rating. To overcome this problem, this study investigates the preconditions for a new methodology for rating the SP component of the ESG by applying machine learning (ML) and artificial intelligence (AI) anchored to social controversies.

This study proposes the use of a data-driven rating methodology that derives the relative importance of SP features from their contribution to the prediction of social controversies. The authors use the proposed methodology to solve the weighting problem with overall ESG ratings and further investigate whether prediction is possible.

The authors find that ML models are able to predict controversies with high predictive performance and validity. The findings indicate that the weighting problem with the ESG ratings can be addressed with a data-driven approach. The decisive prerequisite, however, for the proposed rating methodology is that social controversies are predicted by a broad set of SP indicators. The results also suggest that predictively valid ratings can be developed with this ML-based AI method.

This study offers practical solutions to ESG rating problems that have implications for investors, ESG raters and socially responsible investments.

The proposed ML-based AI method can help to achieve better ESG ratings, which will in turn help to improve SP, which has implications for organizations and societies through sustainable development.

To the best of the authors’ knowledge, this research is one of the first studies that offers a unique method to address the ESG rating problem and improve sustainability by focusing on SP indicators.

Quality Assurance and Improvement Program (QAIP) is defined as “an ongoing and periodic assessment of the entire spectrum of audit and consulting work performed by the internal audit (IA) activity”. QAIP is an important component of internal auditors’ commitment to improve internal audit (IA) quality. The pressure towards improvement is urgent for central banks, in light of the vulnerabilities of their IA functions identified by the International Monetary Fund. The authors analyse the professional standards and the literature on IA and QAIP, aiming to propose general considerations to enhance IA quality and to develop and maintain a QAIP, with reference to central banks, also shedding light on the synergies among IA, QAIP and total quality management (TQM).

This paper reviews the most relevant professional standards in light of the professional and academic literature regarding IA quality, QAIP and their relationship with TQM. The analysis of these sources represents an important step to identify general measures to improve IA quality and develop effective QAIP in central banks.

This analysis shows that it is important to understand the rationale behind the development of an IA function and its theoretical and practical foundation, especially for complex organisations such as central banks. In addition, the authors show that QAIP represents an important tool to exploit the synergies between TQM and IA. These synergies could result in higher levels of quality for the IA function and more effective implementation of TQM within the whole organisation. Lastly, the authors provide practical suggestions to support the implementation of an effective QAIP in central banks and to spread TQM philosophy within the organisation.

The authors contribute to the scant literature on IA quality and QAIP by focusing on central banks and shedding light on the relationship with TQM. Regardless of their importance, these topics have been largely neglected by the extant literature.

This paper investigates to what extent public sector entities (PSEs) in developing countries (DCs) are compliant with IPSAS and examines the impact of the socioeconomic and politico-administrative environment on this compliance during the period 2015–2018.

This research develops a self-constructed checklist consisting of 116 disclosure items from five accrual-based IPSAS (IPSASs, 1, 2, 3, 14 and 24) and applies panel regressions for a sample of 500 entity-year observations of 125 PSEs.

The study results show a high level of disparity in the degree of compliance with IPSAS amongst DCs' governments, with an overall average level of 61%. They reveal that compliance with IPSAS is positively influenced by the level of citizen wealth, government political culture (degree of government openness) and the quality of public administration, whereas jurisdiction size, government financial condition and political competition are non-significant factors.

This research provides researchers and practitioners with a comprehensive framework for understanding the extent of New Public Management reforms in DCs with a focus on International Public Sector Accounting Standards implementation. It might assist policymakers in their accounting strategies and might be a signal for DCs with low compliance to tap lessons from governments with successful experience of IPSAS adoption.

Focusing on DCs' context, this paper brings new insights into the analysis of socioeconomic and politico-administrative incentives for government compliance with IPSAS. It is the first to investigate the impact of citizen wealth and political competition on IPSAS disclosures.

From May 2024, Victoria (Australia) will mandatorily raise the minimum house energy rating standards from 6 to 7 stars. However, the latest data shows that only 5.73% of new Victorian houses were designed beyond 7-star. While previous literature indicates the issue’s link to the compliance behaviour of building practitioners in the design phase, the underlying behavioural determinants are rarely explored. This study thus preliminarily examines building practitioners’ compliance behaviour with 7-star Australian house energy ratings and beyond.

Using a widely-applied method to initially examine an under-explored phenomenon, eight expert interviews were conducted with building practitioners, a state-level industry regulator and a leading national building energy policy researcher. The study triangulated the data with government-led research reports.

The experts indicate that most building practitioners involved in mainstream volume projects do not go for 7 stars, mainly due to perceived compliance costs and reliance on standardized designs. In contrast, those who work on custom projects are more willing to go beyond 7-star mostly due to the moral norms for a low-carbon environment. The experts further agree that four behavioural determinants (attitudes towards compliance, subjective norms, perceived behavioural control and personal norms) co-shape building practitioners’ compliance behaviour. Interventions targeting these behavioural determinants are recommended for achieving 7 stars and beyond.

This study demonstrates the behavioural determinants that influence building practitioners’ compliance decisions, and offers insight regarding how far they will go to meet 7 stars. It can facilitate the transition to 7 stars by informing policymakers of customized interventions to trigger behaviour change.

The purpose of this study is to enhance the understanding of the complete process of framing and implementing operational excellence in the pharmaceutical industry to ensure higher regulatory compliance.

A literature search was conducted using preferred reporting items for systematic reviews and meta-analyses guidelines. Strategies were set with different keywords and certain assessment criteria for the inclusion and exclusion of articles. A total of 46 articles were considered for a full review.

This study describes the impact of implementing operational excellence in day-to-day operations and the driving forces to achieve the same. Seven commonly used enablers are described can be used in combination to develop and validate an assessment model. Case studies are summarized to schematize operational excellence programs for the scope of their industry.

This study is limited to Indian pharmaceutical manufacturers. It is implied toward small-scale manufacturers. It can be further extended to manufacturers from other regions.

This study guides quality assurance managers, regulatory agencies and other top management to implement operational excellence to ensure higher regulatory compliance. It guides to develop a roadmap to operational excellence in their scope. This study is applicable to any manufacturing industry bound to comply with pharmaceutical regulatory standards.

To the best of the authors’ knowledge, at the time of publication, there are regulatory guidelines and some articles on various key enablers to achieve operational excellence. There is no published systematic review on achieving regulatory compliance by using operational excellence.

Earned value management systems (EVMS), also called integrated project and program management systems, have been greatly examined in the literature, which has typically focused on their technical aspects rather than social. This study aims to hypothesize that improving both the technical maturity of EVMS and the social environment elements of EVMS applications together will significantly impact project performance outcomes. For the first time, empirical evidence supports a strong relationship between EVMS maturity and environment.

Data was collected from 35 projects through four workshops, attended by 31 industry practitioners with an average of 19 years of EVMS experience. These experts, representing 23 organizations, provided over 2,800 data points on sociotechnical integration and performance outcomes, covering projects totaling $21.8 billion. Statistical analyses were performed to derive findings on the impact of technical maturity and social environment on project success.

The results show statistically significant differences in cost growth, compliance, meeting project objectives and business drivers and customer satisfaction, between projects with high EVMS maturity and environment and projects with poor EVMS maturity and environment. Moreover, the technical and social dimensions were found to be significantly correlated.

Key contributions include a novel and tested performance-driven framework to support integrated project management using EVMS. The adoption of this detailed assessment framework by government and industry is driving a paradigm shift in project management of some of the largest and most complex projects in the U.S.; specifically transitioning from a project assessment based upon a binary approach for EVMS technical maturity (i.e. compliant/noncompliant to standards) to a wide-ranging scale (i.e. 0–1,000) across two dimensions.