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The purpose of this study is to re-evaluation fuselage design when the main wing’s has the ability to fulfill stability requirements without the need for a tailplane. The aerodynamic requirements of the fuselage usually involve a trade-off between reducing drag and providing enough length for positioning the empennage to ensure stability. However, if the main wing can fulfill the stability requirements without the need for a tailplane, then the fuselage design requirements can be re-evaluated. The optimisation of the fuselage can then include reducing drag and also providing a component of lift amongst other potential new requirements.

A careful investigation of parameterisation and trade-off optimisation methods to create such fuselage shapes was performed. The A320 Neo aircraft is optimised using a parameterised 3D fuselage model constructed with a modified PARSEC method and the SHERPA optimisation strategy, which was validated through three case studies. The geometry adjustments in relation to the specific flow phenomena are considered for the three optimal designs to investigate the influencing factors that should be considered for further optimisation.

The top three aerodynamic designs show a distinctive characteristic in the low aspect ratio thick wing-like aftbody that has pressure drag penalties, and the aftbody camber increased surface area notably improved the fuselage’s lift characteristics.

This work contributes to the development of a novel set of design requirements for a fuselage, free from the constraints imposed by stability requirements. By gaining insights into the flow phenomena that influence geometric designs when a lift requirement is introduced to the fuselage, we can understand how the fuselage configuration was optimised. This research lays the groundwork for identifying innovative design criteria that could extend into the integration of propulsion of the aftbody.

Despite increasing interest in digital services and products, the emergence of digitalization in the logistics and supply chain (L&SC) industry has received little attention, in particular from organizational theorists. In response, taking an institutionalist view, the authors argue that the emergence and adoption of digitalization is a socially constructed phenomenon.

This paper shows how actor-level frameshifts contribute to an emergence of an overarching “digitalization logic” in the L&SC industry at the field level. Building on a longitudinal analysis of field actors' frames and logics, the authors track the development of digitalization over the last 60 years in the L&SC sector.

The authors classify specific time periods by key field-configuring events, describe the relevant frameshifts in each time period and present a process that explains how and why digitalization has emerged, been adopted and manifested itself in the L&SC industry.

The findings of the study provide insights about the evolution of a digitalization logic and thus advance the institutional view on digitalization in the L&SC industry.

Leadership is a key factor that shapes an athlete’s development, also within team sports; most of this responsibility falls on the coaches. The purpose of this paper is to provide insight into the relationship between a coach’s reputation and athlete creativity as perceived by athletes within team sports.

The paper examined the reputational construct of coaches vis-a-vis athlete creativity. The researchers surveyed athletes from a variety of team sports and professional levels (N = 203). Structural equation modelling was utilised for testing the hypotheses.

Findings suggest that a coach’s reputation has a significant influence on the development of an athlete’s creativity. Coach reputation affects the creative development of an athlete, with knowledge sharing and openness to experiences being the principal means of influence.

Our study (1) examines the influence of a coach’s reputation on an athlete’s creativity, (2) tests the role of knowledge sharing in the influence on an athlete’s creativity and (3) considers openness to experiences in the development of an athlete’s creativity.

Strengths-based professional development has been associated with positive outcomes in academia and in the organizational workplace. Students pursuing their doctoral degrees in the biomedical sciences in the US are often on graduate assistantships, where they experience an academic component to their training integrated with an employee-like existence. The individual who serves as their academic and research advisor is often their supervisor, who pays their stipend. The traditional training structure poses unique challenges and may be accompanied by stress, burnout and imposter phenomenon. The purpose of this study is to utilize a strengths-based approach to equip students with essential personal and professional skills that build self-awareness and self-confidence further preparing them for their future in the scientific workforce.

The authors developed and implemented a novel strengths-based professional development cohort program for doctoral students in the biomedical sciences at a research-intensive (R1) institution. The program was designed to create a supportive and inclusive space for participants (n = 18) to explore their identity as a student and scientists and to develop and leverage their talents for more effective and strategic use. Program outcomes were evaluated through a mixed methods case study design using a post-program Likert-based survey (n = 10 participants) and participant interviews (n = 13). Explanatory sequential design was used in the interpretation of the findings.

The results show that the program had a positive impact on students’ perceptions of themselves as scientists, as well as on their self-efficacy, self-confidence and interpersonal interactions in the research setting.

This strengths-based professional development program demonstrates immense potential as a model to equip students with self-awareness and a new foundation of essential skills needed to supplement their technical and scientific training for their future careers in the team-based workplace.

This study demonstrates how professional development programming can complement scientific training by equipping students with self-awareness and other lifelong skills to navigate feelings of imposter phenomenon and interpersonal relationships in the team-based workplace.

Utility strikes have spawned companies specializing in providing a priori analyses of the underground. Geophysical techniques such as Ground Penetrating Radar (GPR) are harnessed for this purpose. However, analyzing GPR data is labour-intensive and repetitive. It may therefore be worthwhile to amplify this process by means of Machine Learning (ML). In this work, harnessing the ADR design science methodology, an Intelligence Amplification (IA) system is designed that uses ML for decision-making with respect to utility material type. It is driven by three novel classes of Convolutional Neural Networks (CNNs) trained for this purpose, which yield accuracies of 81.5% with outliers of 86%. The tool is grounded in the available literature on IA, ML and GPR and is embedded into a generic analysis process. Early validation activities confirm its business value.

Women leaders struggle with the persistent paradoxical expectations. Literature suggests that a paradox mindset helps to leverage these tensions. This study aims to understand the nexus between the microfoundations of individual women leaders’ experiences, their responses and the organisational context, which enables or hinders their paradox mindset.

This study adopted a qualitative approach by conducting semistructured interviews with 14 women, all senior leaders in corporate South Africa.

The results reveal the interaction in the nexus between, firstly, women leaders’ authenticity and awareness as key anchors that enable them to adopt a paradox mindset and, secondly, the organisation’s role in creating hindrances or opportunities to leverage tensions. Women leaders in our sample applied one of two strategies: they either adapted to the environment or curated a subenvironment. This study shows that, if done authentically, through her own agency, a woman can influence interactions that make it easier to manage tensions within her environment, especially those created by negative performance evaluation because of unconscious institutional gender bias.

The extent to which the findings of this research can be generalised is constrained by the selected research context.

This research contributes to the literature on paradox theory by revealing organisational contextual influencers, such as institutional bias in negative performance evaluation, which hinders a woman leader’s opportunity to be hired or promoted. These organisational influences also interact with women leaders’ ability to embrace paradox and internally leverage agentic and communal tensions.

The goal of this research is to analyse the obstacles to the implementation of mobile health (mHealth) in India and to gain an understanding of the contextual inter-relationships that exist amongst those obstacles.

Potential barriers and their interrelationships in their respective contexts have been uncovered. Using MICMAC analysis, the categorization of these barriers was done based on their degree of reliance and driving power (DP). Furthermore, an interpretive structural modeling (ISM) framework for the barriers to mHealth activities in India has been proposed.

The study explores a total of 15 factors that reduce the efficiency of mHealth adoption in India. The findings of the Matrix Cross-Reference Multiplication Applied to a Classification (MICMAC) investigation show that the economic situation of the government, concerns regarding the safety of intellectual technologies and privacy issues are the primary obstacles because of the significant driving power they have in mHealth applications.

Promoters of mHealth practices may be able to make better plans if they understand the social barriers and how they affect each other; this leads to easier adoption of these practices. The findings of this study might be helpful for governments of developing nations to produce standards relating to the deployment of mHealth; this will increase the efficiency with which it is adopted.

At this time, there is no comprehensive analysis of the factors that influence the adoption of mobile health care with social cognitive theory in developing nations like India. In addition, there is a lack of research in investigating how each of these elements affects the success of mHealth activities and how the others interact with them. Because developed nations learnt the value of mHealth practices during the recent pandemic, this study, by investigating the obstacles to the adoption of mHealth and their inter-relationships, makes an important addition to both theory and practice.

Unlike quantitative studies, interview data generally cannot be validated; yet, they are typically the only evidence of the research. This study develops protocols for using verbatim interview quotations in research and for assessing the quality of interview quotations.

This research reviews 20 empirical papers using in-depth interviews containing 600 interview quotations to examine authors' approaches to verbatim interviewee quotations. The research analyses the sample papers for interview transcript handling, selection of quotations, the number and length of interview quotations, how they are placed and presented, the proportion of interviewee voices reproduced in quotations and the disclosure of protocols for translating and editing quotations. This paper includes illustrative interview quotations as exemplars of best practice.

Given the modest discussion of the principles influencing the reproduction of quotations in research, this study develops a framework for evaluating prior research. Researchers use a wide variety of practices to reproduce interview quotations in accounting research. The issues derived from this review, and their application to interview-based papers, frame an argument for a general set of quality criteria and protocols rather than rigid rules for assessing qualitative work. These criteria can serve as anchor points for qualitative evaluation.

There is little guidance on the use of interview quotations in qualitative research which this study bridges.

The aim of this paper is to assess whether the current European target to increase the areas under organic farming to 25% by 2030 is attainable and whether the simple increase in areas under organic farming may be sufficient to improve the sustainability of European agriculture.

The analysis has been carried out through a simple data processing related to areas under organic farming, for the period 2012–2020 (Eurostat database), in order to highlight the trends of areas under organic farming and to verify whether the annual average change rates may be compatible with the stated target.

The analysis showed that organic farming has a productive weight not corresponding to the amount on the total of the areas under cultivation and a small impact on the total of food consumption. It is a plausible hypothesis, the one that shows the increase in areas under organic farming will engage forms of agriculture and farms that, already, are more sustainable, so the achievement of 25% target will not particularly impact the European potential productive and the less environmental sustainable forms of agriculture.

This paper contributes to the debate, involving scientific community, policy maker and civil society, about the real contribution of organic farming to sustainability, and it will be developed in future research.

This study presents a systematic literature review (SLR) of the interdisciplinary literature on drones in last-mile delivery (LMD) to extrapolate pertinent insights from and into the logistics management field.

Rooting their analytical categories in the LMD literature, the authors performed a deductive, theory refinement SLR on 307 interdisciplinary journal articles published during 2015–2022 to integrate this emergent phenomenon into the field.

The authors derived the potentials, challenges and solutions of drone deliveries in relation to 12 LMD criteria dispersed across four stakeholder groups: senders, receivers, regulators and societies. Relationships between these criteria were also identified.

This review contributes to logistics management by offering a current, nuanced and multifaceted discussion of drones' potential to improve the LMD process together with the challenges and solutions involved.

The authors provide logistics managers with a holistic roadmap to help them make informed decisions about adopting drones in their delivery systems. Regulators and society members also gain insights into the prospects, requirements and repercussions of drone deliveries.

This is one of the first SLRs on drone applications in LMD from a logistics management perspective.