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The purpose of this study is to determine propeller damage based on acoustic recordings taken from unmanned aerial vehicle (UAV) propellers operated at different thrust conditions on a test bench. Propeller damage is especially critical for fixed-wing UAVs to sustain a safe flight. The acoustic characteristics of the propeller vary with different propeller damages.

For the research, feature extraction methods and machine learning techniques were used during damage detection from propeller acoustic data. First of all, sound recordings were obtained by operating five different damaged propellers and undamaged propellers under three different thrusts. Afterwards, the harmonic-to-noise ratio (HNR) feature extraction technique was applied to these audio recordings. Finally, model training and validation were performed by applying the Gaussian Naive Bayes machine learning technique to create a diagnostic approach.

A high recall value of 96.19% was obtained in the performance results of the model trained according to damaged and undamaged propeller acoustic data. The precision value was 73.92% as moderate. The overall accuracy value of the model, which can be considered as general performance, was obtained as 81.24%. The F1 score has been found as 83.76% which provides a balanced measure of the model’s precision and recall values.

This study include provides solid method to diagnose UAV propeller damage using acoustic data obtain from the microphone and allows identification of differently damaged propellers. Using that, the risk of in-flight failures can be reduced and maintenance costs can be lowered with addressing the occurred problems with UAV propeller before they worsen.

This study introduces a novel method to diagnose damaged UAV propellers using the HNR feature extraction technique and Gaussian Naive Bayes classification method. The study is a pioneer in the use of HNR and the Gaussian Naive Bayes and demonstrates its effectiveness in augmenting UAV safety by means of propeller damages. Furthermore, this approach contributes to UAV operational reliability by bridging the acoustic signal processing and machine learning.

Historically, graduate education’s goal was to prepare academics; now most science, technology, engineering and/or mathematics (STEM) graduate students (GSs) go on to nonacademic careers. STEM GSs must be equipped for success regardless of career aspirations, which can be done by strengthening GSs’ professional identities. This study aims to explore an interdisciplinary partnership designed to strengthen STEM GS professional identity.

The STEM Partnership Project (SPP), asked STEM GSs to serve as disciplinary experts and teach STEM content to elementary teacher candidates (TCs) so the TCs could design and teach an elementary science lesson. GSs also enrolled in a one-credit course to support SPP participation and activities. Over five semesters, the authors collected data from 28 STEM GSs across different disciplines and degree programs in the form of course assignments, surveys and interviews.

The SPP supported the development of a professional identity by having GSs serve as and feel like experts; increasing GSs’ sense of belonging in their field; increasing GSs’ self-confidence that they could (learn to) teach a wide variety of audiences; and raising GSs’ awareness of their ability to serve others via their field.

The SPP’s outcomes were consistent across STEM disciplines, did not require GSs to take on large amounts of coursework, nor did it cost much beyond materials for the various lessons. Furthermore, the key components that strengthened GSs’ professional identities could be adapted for different contexts and institutions.

The purpose of this multi-voiced paper is to propose a prosocial paradigm for the field of performance management and management control systems. This new paradigm suggests cultivating prosocial behaviour and prosocial groups in organizations to simultaneously achieve the objectives of economic performance and sustainability.

The authors share a common concern about the future of humanity and nature. They challenge the influential assumption of economic man from neoclassical economic theory and build on evolutionary science and the core design principles of prosocial groups to develop a prosocial paradigm.

Findings are based on the premise of the prosocial paradigm that self-interested behaviour may outperform prosocial behaviour within a group but that prosocial groups outperform groups dominated by self-interest. The authors explore various dimensions of performance management from the prosocial perspective in the private and public sectors.

The authors call for theoretical, conceptual and empirical research that explores the prosocial paradigm. They invite any approach, including positivist, interpretive and critical research, as well as those using qualitative, quantitative and interventionist methods.

This paper offers implications from the prosocial paradigm for practitioners, particularly for executives and managers, policymakers and educators.

Adoption of the prosocial paradigm in research and practice shapes what the authors call the prosocial market economy. This is an aspired cultural evolution that functions with market competition yet systematically strengthens prosociality as a cultural norm in organizations, markets and society at large.

The 2020 murder of George Floyd resulted in challenges to policing in the United States of America, but little is known about how police chiefs perceive them. At the same time, chiefs of police wield great influence over public perceptions of crime and disorder, the state of their profession, the laws and policies that govern the conduct of police officers and municipal public safety budgets. It is therefore critical to understand how police perceive the changes to their profession post-Floyd.

This study surveyed a randomly selected national sample of 276 municipal chiefs of police. Items probed resignations, recruitment, efforts to defund departments, community support, officer morale, suspects’ likelihood of obeying lawful orders and career risks that could inhibit proactive police work. It examined associations between perceptions and Census Bureau region, length of tenure as chief, size of police department, population served and the urban or rural designation of the jurisdiction.

Chiefs overwhelmingly reported recruiting qualified candidates had become much harder, and the present risks of proactive police work encourage inaction. Chiefs of agencies in the Northeast perceived more challenges than those in the South. Respondents with more years of experience were less likely to perceive the current situation as dire. Approximately 13.5% reported an attempt to defund their department, 56.8% of which yielded some success. Our study suggests an increase in the number and scope of challenges perceived by chiefs of police. Results vary by region and police chief years of experience.

This study provides researchers and practitioners with the perspectives of chiefs about the post-Floyd era that influence their decisions, policies and initiatives.

This paper aims to explore the biodiversity and threatened species extinction reporting of 54 biodiversity-indexed companies on the Indonesia Stock Exchange (IDX). The primary objectives are to explore the rhetoric of biodiversity disclosure as a practice of virtue ethics and to identify instances of emancipatory extinction accounts on the International Union for Conservation of Nature (IUCN) Red List.

The research sample comprised 54 biodiversity-indexed companies on the IDX. A content analysis of the narrative text of their annual and sustainability reports for 2020 was conducted to discern the rhetoric of biodiversity disclosure as an ethical practice using Aristotle’s rhetoric (ethos, logos and pathos). The identification of extinction accounts listed on the IUCN Red List was conducted based on criteria established in the conceptual framework of Atkins and Maroun (2018).

All 54 companies used ethos, logos and pathos in their biodiversity disclosure as a virtuous practice. These disclosures improve the tone of corporate communications and enhance accountability and transparency. Low-profile companies showed a greater propensity for reporting biodiversity disclosures compared to high-profile companies. Additionally, the authors identified 14 companies informing extinction accounts that qualify as emancipatory accounts, with high-profile companies disclosing extinction more frequently than low-profile ones. Emancipatory accounting highlighted species such as turtles, orangutans, elephants, rhinos, turtles and medicinal plants. These accounts are intended as a form of accountability to the species.

The limitation of this research is the observation of annual reports in one period. Future studies can add more observation periods to see the consistency of companies in disclosing biodiversity and extinction.

Companies can adopt the rhetorical strategy of ethos, logos and pathos in disclosing their biodiversity. For policymakers, it is important to establish regulations to encourage companies to disclose biodiversity. The implications for accountants, to contribute more to biodiversity and extinction reporting, considering that previously sustainability accounting reporting was mostly carried out by nonaccountants.

Regarding social implications, emancipatory accounts aimed at preventing the extinction of animals such as birds, orangutans and rhinos will have significant social and natural impacts.

This research represents the first use of Aristotelian rhetoric and virtue to understand biodiversity disclosure as virtue rhetoric and extinction disclosure as emancipatory accounting. This rhetoric is a benevolent persuasion tool that can shape the audience’s thinking and behavior in a more ethical manner concerning biodiversity issues. It provides evidence of the role of accounting as a social and moral practice, which is particularly relevant in the face of a complex reality and increasing concerns, notably regarding the threat of biodiversity loss and extinction.

The e-commerce boom presents new challenges for last-mile delivery (LMD), which may be mitigated by new delivery technologies. This paper evaluates the impact of mobile parcel lockers (MPL) on costs and CO₂ equivalent (CO₂e) emissions in existing LMD networks, which include home delivery and shipments to stationary parcel lockers.

To describe customers’ preferences, we design a multinomial logit model based on recipients’ travel distance to pick-up locations and availability at home. Based on route cost estimation, we define the operating costs for MPLs. We devise a mathematical model with binary decision variables to optimize the location of MPLs.

Our study demonstrates that integrating MPLs leads to additional cost savings of 8.7% and extra CO₂e emissions savings of up to 5.4%. Our analysis of several regional clusters suggests that MPLs yield benefits in highly populous cities but may result in additional emissions in more rural areas where recipients drive longer distances to pick-ups.

This paper designs a suitable operating model for MPLs and demonstrates environmental and economic savings. Moreover, it adds recipients’ availability at home to receive parcels improving the accuracy of stochastic demand. In addition, MPLs are evaluated in the context of several regional clusters ranging from large cities to rural areas. Thus, we provide managerial guidance to logistics service providers how and where to deploy MPLs.