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Over the last two decades Bill George has been researching the basic ingredients of authentic leadership through one of the most extensive empirical studies of leadership ever undertaken. He and his team have extended their research to include both international and rising generation leaders and parlayed their findings into a development process aimed at helping current and aspiring leaders to become both more authentic and effective. His latest book, True North: Leading Authentically in Today’s Workplace (Emerging Leader Edition), is co-authored with Zach Clayton.

Interview with authors Bill George, former CEO of Medtronic, and Zach Clayton, CEO of Three Ships, conducted by Brian Leavy, Emeritus Professor of Strategy at Dublin City University Business School, a Strategy &Leadership contributing editor and author of the S&L masterclass, “ Effective leadership today – character, not just competence.

Authentic leaders engender trust and develop genuine connections, which enables them to motivate people to achieve high levels of performance.

“I believe the hardest person you will ever have to lead is yourself.” -- Bill George

“The authors interviewed hundreds of CEOs and found that the self-awareness that they develop in the process of self-discovery is the most essential determinant of their effectiveness as a leader.”

In digital education curricular initiatives, some teachers are taking on key roles when appointed as instructional coaches (ICs) and become crucial in the sustainability of the initiative by coaching teachers. This study aimed to find out the difficulties ICs are facing when mentoring teachers in the development of the digital skills and to identify the coaching activities the coaches offer.

Employing a mixed-methods research design focusing on a qualitative approach, the research team conducted 6 focus groups with 38 ICs from 12 primary schools in Switzerland. Quantitative descriptive data were collected through a survey submitted before and after the focus group.

The results indicate that (1) the professional development (PD) activities offered to teachers vary greatly depending on the instructional coach characteristics and the school to which the teachers belong, (2) the in-service training of ICs should include coaching and leadership skills and (3) distributed leadership to ICs could facilitate the adoption of technologies by teachers and support change in the school.

Some ICs offer activities with a low involvement of the teacher. ICs' training programs should provide strategies to better take advantage of PD activities. The authors suggest training ICs in PD activities, aligned with Gibbons and Cobb's (2017) such as analyzing classroom video or lesson study involving a group of teachers working together with an expert to improve a lesson. District and school leaders should provide ICs with explicit guidance and more resources to achieve systemic change. ICs should also be empowered by being involved in the development of the school's continuing education training plans.

This study presents a new perspective about understanding and applying in-service teacher PD in the context of a digital education curricular initiative.

In recent times, reverse logistics (RL) is gaining significant traction in various automobile industries to recapture returned vehicles’ value. A good RL program can lower manufacturing costs, establish a green supply chain, enhance customer satisfaction and provide a competitive advantage. However, reducing disruptions and increasing operational efficiency in the automobile RL requires implementing innovative technology to improve information flow and security. Thus, this manuscript aims to examine the hurdles in automobile RL activities and how they can be effectively tackled by blockchain technology (BCT). Merging BCT and RL provides the entire automobile industry a chance to generate value for its consumers through effective vehicle return policies, manufacturing cost reduction, maintenance records tracking, administration of vehicle information and a clear payment record of insurance contracts.

This research is presented in three stages to accomplish the task. First, previous literature and experts' opinions are examined to highlight certain factors that are an aggravation to BCT implementation. Next, this study proposed an interval-valued intuitionistic fuzzy set (IVIFS) – decision-making trial and evaluation laboratory (DEMATEL) with Choquet integral framework for computing and analyzing the comparative results of factor interrelationships. Finally, the causal outline diagrams are plotted to determine the influence of factors on one another for BCT implementation in automobile RL.

This study has categorized the barriers to BCT implementation into five major factors – operational and strategical, technical, knowledge and behavioral, financial and infrastructural, and government rules and regulations. The results revealed that disreputable technology, low-bearing capacity of IT systems and operational inefficiency are the most significant factors to be dealt with by automobile industry professionals for finer and enhanced RL processes utilizing BCT. The most noticeable advantage of BCT is its enormous amount of data, permitting automobile RL to develop client experience through real-time data insights.

This study reveals several factors that are hindering the implementation of BCT in RL activities of the automobile industry. The results can assist experts and policymakers improve their existing decision-making systems while making an effort to implement BCT into the automobile industry's RL activities.

Although there are several studies on the benefits of BCT in RL and the adoption of BCT in the automobile industry, individually, none have explicated the use of BCT in automobile RL. This is also the first kind of study that has used IVIFS-DEMATEL with the Choquet integral framework for computing and analyzing the comparative results of factor interrelationships hindering BCT implementation in automobile RL activities.

The purpose of the present study is to investigate the extent to which female and male university students from low-income countries express different entrepreneurial intentions. Specifically, the study empirically tests whether the anticipated financial returns to entrepreneurship versus salaried employment, or the perceived barriers to entrepreneurship exert a stronger influence on the relationship between gender and entrepreneurial intentions.

To test the relationship of anticipated rewards versus barriers to entrepreneurship on gender and entrepreneurial intention, the study uses new data from a field survey in Sierra Leone and employs multiple mediation analyses.

The authors find that the relationship between gender and entrepreneurial intentions operates through the mediator of perceptions of the financial returns to entrepreneurship but not perceived barriers to entrepreneurship.

The authors study intent, not behavior, acknowledging that cognitive intent is a powerful predictor of later behavior. Implications for future research on entrepreneurship in the African context are discussed.

The results from this study can be applied to both pedagogic and business settings in the field of entrepreneurship, with concrete implications for policymakers.

Results suggest that the gender gap in entrepreneurial intentions (EI) for science, technology, engineering and mathematics (STEM)- and business-educated students in Sierra Leone is predominantly influenced by anticipated financial returns to occupational choices, as opposed to perceived barriers to entrepreneurship, a more frequently studied antecedent to EI.

This study aims to estimate the overall SARS-CoV-2 seroprevalence and evaluate the accuracy of an antibody rapid test compared to a reference serological assay during a COVID-19 outbreak in a prison complex housing over 13,000 prisoners in Brasília.

The authors obtained a randomized, stratified representative sample of each prison unit and conducted a repeated serosurvey among prisoners between June and July 2020, using a lateral-flow immunochromatographic assay (LFIA). Samples were also retested using a chemiluminescence enzyme immunoassay (CLIA) to compare SARS-CoV-2 seroprevalence and 21-days incidence, as well as to estimate the overall infection fatality rate (IFR) and determine the diagnostic accuracy of the LFIA test.

This study identified 485 eligible individuals and enrolled 460 participants. Baseline and 21-days follow-up seroprevalence were estimated at 52.0% (95% CI 44.9–59.0) and 56.7% (95% CI 48.2–65.3) with LFIA; and 80.7% (95% CI 74.1–87.3) and 81.1% (95% CI 74.4–87.8) with CLIA, with an overall IFR of 0.02%. There were 78.2% (95% CI 66.7–89.7) symptomatic individuals among the positive cases. Sensitivity and specificity of LFIA were estimated at 43.4% and 83.3% for IgM; 46.5% and 91.5% for IgG; and 59.1% and 77.3% for combined tests.

The authors found high seroprevalence of anti-SARS-CoV-2 antibodies within the prison complex. The occurrence of asymptomatic infection highlights the importance of periodic mass testing in addition to case-finding of symptomatic individuals; however, the field performance of LFIA tests should be validated. This study recommends that vaccination strategies consider the inclusion of prisoners and prison staff in priority groups.

The purpose of this paper is to reflect on the critical themes explored by the five papers in this Accounting, Auditing & Accountability Journal (AAAJ) special issue and to offer a prospective analysis of issues for further research.

This reflective article provides a contextual outline of the challenges of managing and accounting for the third-sector during times of crisis.

Prior studies have covered aspects of trust, accountability and the use of accounting numbers for performance management in the third sector; however, little is known about how accounting numbers and disclosures can contribute to repairing donor trust and sensemaking following adverse events or how accounting numbers and disclosures can be used to navigate uncertainty. Drawing on accountability, trust and sensemaking literature, the papers in this AAAJ special issue contribute to closing this gap.

Whilst the papers presented in this AAAJ special issue provide valuable insights into the challenges faced by third-sector organisations (TSOs) in times of crisis, several vital gaps that merit further investigations have been identified.

This paper and AAAJ special issue provide a set of original empirical and theoretical contributions that can be used to advance further investigations into the complex issues faced by the third sector.

This study aims to assess the effect of water variation on bioethanol production from cassava peels (CP) using Saccharomyces cerevisiae yeast as the ethanologenic agent.

The milled CP was divided into three treatment groups in a small-scale flask experiment where each 20 g CP was subjected to two-stage hydrolysis. Different amount of water was added to the fermentation process of CP. The fermented samples were collected every 24 h for various analyses.

The results of the fermentation revealed that the highest ethanol productivity and fermentation efficiency was obtained at 17.38 ± 0.30% and 0.139 ± 0.003 gL⁻¹ h⁻¹. The study affirmed that ethanol production was increased for the addition of water up to 35% for the CP hydrolysate process.

The finding of this study demonstrates that S. cerevisiae is the key player in industrial ethanol production among a variety of yeasts that produce ethanol through sugar fermentation. In order to design truly sustainable processes, it should be expanded to include a thorough analysis and the gradual scaling-up of this process to an industrial level.

This paper is an original research work dealing with bioethanol production from CP using S. cerevisiae microbe.

1. Hydrolysis of cassava peels using 13.1 M H₂SO₄ at 100 ^oC for 110 min gave high Glucose productivity

2. Highest ethanol production was obtained at 72 h of fermentation using Saccharomyces cerevisiae

3. Optimal bioethanol concentration and yield were obtained at a hydration level of 35% agitation

4. Highest ethanol productivity and fermentation efficiency were 17.3%, 0.139 g.L⁻¹.h⁻¹

Hydrolysis of cassava peels using 13.1 M H₂SO₄ at 100 ^oC for 110 min gave high Glucose productivity

Highest ethanol production was obtained at 72 h of fermentation using Saccharomyces cerevisiae

Optimal bioethanol concentration and yield were obtained at a hydration level of 35% agitation

Highest ethanol productivity and fermentation efficiency were 17.3%, 0.139 g.L⁻¹.h⁻¹