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During the COVID-19 pandemic, the importance of digital infrastructure in higher education surged. This study aims to analyze how a country’s digital capabilities influence pedagogical transitions in business schools and compare the impacts between digitally advanced and advancing countries.

The authors applied the job demands–resources model and the IMD World Digital Competition Ranking 2021 to analyze the impact of nations’ digital capabilities on the pedagogical transitions experienced by 121 business faculty members from 20 nations. The countries were categorized into digitally advanced countries and advancing countries. The snowball sampling method was used to gather data through an online survey consisting of 24 items. SPSS was used to statistically analyze the data in two stages using paired t-test and group comparison.

Significant shifts between face-to-face and online lectures occurred in both groups. Advanced countries witnessed positive shifts in discussions, presentations, oral assessment, independent learning opportunities, online teaching methods, technical support and faculties’ readiness, whereas advancing countries mainly noted alterations in professional development and communication technologies.

This study offers insights into optimizing digital capabilities and enhancing business schools’ readiness for effective pedagogical shifts during crises. Both the theoretical contribution and the findings will benefit national education policies, higher education institution leaders, scholars and educators.

The 2008 Chinese melamine milk scandal resulted in six reported fatalities and affected around 300,000 children, of whom 54,000 were hospitalised. Previous studies have used linear approaches to examine the root causes of the melamine milk scandal.

In the present study, we applied a systems approach to the melamine milk scandal to identify the complex systems-level failures across the supply chain leading to the incident and why food fraud incidents such as this occurred in the dairy sector. Additionally, systemic failures associated with food fraud vulnerability factors were considered (i.e. opportunities, motivation and control measures).

48 contributory factors of influence were identified and grouped across six sociotechnical levels across the Chinese dairy system, from government to equipment and surroundings. Lack of vertical integration (processes and communication) contributed to the failure. When viewed from a broader perspective, the melamine milk scandal can be linked to a series of human errors and organisational issues associated with government bodies, the dairy supply chain, individual organisations and management decisions and individual actions of staff or processes.

This approach is of value to policymakers and the industry as it supports public health investigations of food fraud incidents and proactive food safety management.

To the best of our knowledge, this is the first study to analyse a food safety or fraud incident using the AcciMap approach and the food fraud vulnerability assessment (FFVA) technique. AcciMap analysis is applied to both unintentional and intentional aspects of the incident.

Evidence-informed decision-making is considered best practice when choosing interventions in applied settings across health, social care and education. Developing that evidence base, however, is not straightforward. The pupose of this paper is to describe the process implemented by the Sharland Foundation Developmental Disabilities Applied Behavioural Research and Impact Network (SF-DDARIN) that systematically develops an evidence base for behaviorally based interventions.

In this case study, the progressive research steps undertaken by the SF-DDARIN to develop the evidence base for an online reading intervention, the Headsprout® Early Reading programme (HER®), which uses behavioural principles to promote learning to read, are described.

A series of discrete projects targeting gaps in the evidence base for HER^® led to funding two randomised controlled trials in England, one in education and one in health and social care.

This case study illustrates an original, creative and effective way of collaborating across academic research departments and applied settings to extend the evidence base for a chosen intervention systematically.

This study aims to examine the mediating effects of corporate governance mechanisms like the board of directors on the association between disruptive technology adoption by audit clients and the risk of material misstatements, including inherent risk and control risk. In particular, the authors study the mediating effects of board characteristics such as board size, independence and gender diversity.

Based on a sample of 100 audit clients listed on the FTSE 100 from 2015 to 2021, this study uses structural equation modelling to test the research objectives.

The findings indicate a significant and negative association between disruptive technology adoption by audit clients and inherent risk. However, there is no significant evidence observed for control risk. The utilisation of disruptive technology by the audit client has a significant impact on the board characteristics, resulting in an increase in board size, greater independence and gender diversity. The authors also find strong evidence that board independence mediates the association between disruptive technology usage and both inherent risk and control risk. In addition, board size and gender exhibit distinct and differential mediating effects on the association and across the two types of risks.

The study reveals that the significant role of using disruptive technology by audit clients in reducing the risk of material misstatements is closely associated with the board of directors, which makes audit clients place greater emphasis on the construction of effective corporate governance.

This study offers essential primary evidence that can assist policymakers and standard setters in formulating guidance and recommendations for board size, independence and gender quotas, ensuring the enhancement of effective governance and supporting the future of audit within the next generation of digital services.

With respect to relevant stakeholders, it is imperative for audit clients to recognise that corporate governance represents a fundamental means of addressing the ramifications of applying disruptive technology, particularly as they pertain to inherent and control risks within the audit client.

This study contributes to the existing literature by investigating the joint impact of corporate governance and the utilisation of disruptive technology by audit clients on inherent risk and control risk, which has not been investigated by previous research.

This study aims at analyzing the detrimental cross-level serial effects of leaders' Machiavellianism and abusive supervision on subordinates' burnout and task performance. The general aggression model and conservation of resources theory guide our research model.

The authors developed a multilevel design and used multisource data. The authors collected data from 50 bank branches located in Pakistan. A total of 50 branch supervisors participated, which yielded 200 supervisor-subordinate dyads. Machiavellianism was self-assessed by the supervisors who further rated the specific task performance of each of their respective subordinates. Burnout and abusive supervision ratings were provided by the subordinates. Abusive supervision scores were aggregated at the group level.

Machiavellianism has an indirect negative effect on individual-level task performance through the serial cross-level mediating effects of abusive supervision at the group level and attendant individual-level burnout.

Findings provide practical implications for the management of task performance and human resources.

This study offers a comprehensive cross-level model to analyze the effect of Machiavellianism on group-level and individual-level outcomes known to affect the effectiveness of leaders.

This paper aims to offer the first known synthesis of peer-reviewed literature on trade-based money laundering (TBML). Given the topic is in its nascent stage yet gaining prominence across scholarship and practice, this foundation is pertinent for future TBML research.

A systematic literature review was undertaken with a formulaic search string. Both qualitative (thematic) and quantitative (meta) analysis methods were used to illustrate the findings.

The systematic literature review, using qualitative and quantitative synthesis, led to a thematic categorization of extant TBML literature into four categories: TBML risk assessment, TBML detection, the role of professionals and understanding of TBML. Due to the limited number of studies, insights that can be drawn from the extant literature on the best way to combat TBML are also limited.

As the first systematic literature review on TBML, this study identified that the existing TBML literature has focused on increasing the understanding of the phenomenon in terms of its definition and mechanisms, detection, linkage with other crimes, such as organized crime and terrorism financing, and risk assessment frameworks. The originality of these findings lies in identifying areas future researchers might explore to broaden the academic literature.

Although numerous studies have been conducted to explore the impact of various factors on employees' turnover intention and intention to remain with the organization, the relationship between these two constructs remains largely unexplored. Considering the significance of these constructs, particularly in the context of the COVID-19 pandemic, the authors aimed to investigate their association within an academic environment using a dynamic modeling approach.

This study follows a quantitative approach and utilizes a longitudinal survey design. The authors utilized a cross-lagged panel model (CLPM) and employed the parametric efficient partial least squares (PLSe2) methodology to estimate the dynamic model using data gathered from lecturers associated with both public and private universities in Malaysia. In order to offer methodological insights to applied higher education researchers, the authors also compared the results with maximum likelihood (ML) estimation.

The findings of the authors' study indicate a reciprocal relationship between turnover intention and intention to remain with the organization, with intention to remain with the organization being a stronger predictor. Moreover, situational factors were found to have a greater influence on eliciting turnover intention within academic settings. As anticipated, the use of the PLSe2 methodology resulted in higher R² values compared to ML estimation, thereby reinforcing the effectiveness of PLS-based methods in explanatory-predictive modeling in applied studies.

The authors' findings suggest prioritizing policies that enhance training and consultation sessions to foster positive attitudes among lecturers. Positive attitudes significantly impact judgment-driven behaviors like turnover intention and intention to remain with the organization. Additionally, improving working environments, which indirectly influence judgment-driven behaviors through factors like affective work events, affect and attitudes, should also be considered.

This study pioneers the examination of the causal relationship between turnover intention and intention to remain with the organization, their stability over time and the association of changes in these variables using a dynamic CLPM in higher education. It introduces the novel application of the cutting-edge PLSe2 methodology in estimating a CLPM, providing valuable insights for researchers in explanatory-predictive modeling.

This paper aims to explore the key factors through which an optimum pedagogy mix can be determined towards effective teaching practice and enhanced student learning outcomes in business/management education.

An exploratory research design has been used. A sample of 310 was analyzed using exploratory factor analysis. A structured questionnaire was developed to collect data. It was pre-tested, and essential modifications were made before its final implementation.

The study has presented the idea of pedagogy mix, which refers to a set of most obvious teaching methods/tools suitable to deliver marketing education in a context-bound manner. Eight factors have been identified that help to decide and/or maintain an optimum mix of pedagogies for effective teaching. An adequate “pedagogy mix” would help achieve educational objectives and equip students with the essential competencies.

The study is particularly significant to educators who are in the initial years of their careers. The identified factors help educators decide and/or maintain an optimum mix of pedagogies by offering an understanding of different pedagogies, their strategic relevance and student needs.

An institution's academic philosophy and commitment to the learning outcomes make it excellent or poor. Present institutions have and retain a main focus on preparation for professional careers, and without a perfect blend of pedagogies, it cannot be achieved. An optimum pedagogy mix would facilitate the key learning process and proffer the intricacies of the concerned profession. In this sense, this paper is a significant attempt, particularly in management education and higher education in general, that enables the educators of higher academics to decide and utilize an idyllic blend of pedagogies towards the successful execution of an educational process of higher order and ensuring the holistic student development.