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This study aims to discuss the simultaneous longitudinal and lateral flight control of the octorotor, a rotary wing unmanned aerial vehicle (UAV), for the first time under the effect of morphing and to improve autonomous flight performance.

This study aims to design and control the octorotor flight control system with stochastic optimal tuning under morphnig effect. For this purpose, models of different arm lengths of the octorotor were drawn in the Solidworks program. The morphing was carried out by simultaneously lengthening or shortening the arm lengths of the octorotor. The morphing rate was estimated by using simultaneous perturbation stochastic approximation (SPSA). The stochastic gradient descent algorithm, which is frequently used in machine learning, was used to estimate the changing moments of inertia with the change of arm lengths. The proportional integral derivative (PID) controller has been preferred as an octorotor control algorithm because of its simplicity of structure. The PID gains required to control both longitudinal and lateral flight were also estimated with SPSA.

With SPSA, three longitudinal flight PID gains, three lateral flight PID gains and one morphing ratio were estimated. PID gains remained within the limits set for SPSA, giving satisfactory results. In addition, the cost index created was 93% successful. The gradient descent algorithm used for the moment of inertia estimation achieved the optimum result in 1,570 iterations. However, in the simulations made with the obtained data, longitudinal and lateral flight was successfully carried out.

Octorotor longitudinal and lateral flight control was performed quickly and effectively with the proposed method. In addition, the desired parameters were obtained with the optimization methods used, and the longitudinal and lateral flight of the octorotor was successfully carried out in the desired trajectory.

This study aims to simultaneously and stochastically maximize autonomous flight performance of a variable wing incidence angle having an unmanned aerial vehicle (UAV) and its flight control system (FCS) design.

A small UAV is produced in Iskenderun Technical University Drone Laboratory. Its wing incidence angle is able to change before UAV flight. FCS parameters and wing incidence angle are simultaneously and stochastically designed to maximize autonomous flight performance using an optimization method named simultaneous perturbation stochastic approximation. Obtained results are also benefitted during UAV flight simulations.

Applying simultaneous and stochastic design approach for a UAV having passively morphing wing incidence angle and its flight control system, autonomous flight performance is maximized.

Permission of the Directorate General of Civil Aviation in Turkish Republic is necessary for real-time flights.

Simultaneous stochastic variable wing incidence angle having UAV and its flight control system design approach is so useful for maximizing UAV autonomous flight performance.

Simultaneous stochastic variable wing incidence angle having UAV and its flight control system design methodology succeeds confidence, excellent autonomous performance index and practical service interests of UAV users.

Creating an innovative method to recover autonomous flight performance of a UAV and generating an innovative procedure carrying out simultaneous stochastic variable wing incidence angle having UAV and its flight control system design idea.

To ensure the stability of the flying wing layout unmanned aerial vehicle (UAV) during flight, this paper uses the radial basis function neural network model to analyse the stability of the aforementioned aircraft.

This paper uses a linear sliding mode control algorithm to analyse the stability of the UAV's attitude in a level flight state. In addition, a wind-resistant control algorithm based on the estimation of wind disturbance with a radial basis function neural network is proposed. Through the modelling of the flying wing layout UAV, the stability characteristics of a sample UAV are analysed based on the simulation data. The stability characteristics of the sample UAV are analysed based on the simulation data.

The simulation results indicate that the UAV with a flying wing layout has a short fuselage, no tail with a horizontal stabilising surface and the aerodynamic focus of the fuselage and the centre of gravity is nearby, which is indicative of longitudinal static instability. In addition, the absence of a drogue tail and the reliance on ailerons and a swept-back angle for stability result in a lack of stability in the transverse direction, whereas the presence of stability in the transverse direction is observed.

The analysis of the stability characteristics of the sample aircraft provides the foundation for the subsequent establishment of the control model for the flying wing layout UAV.

The purpose of this paper is to explore user engagement (UE) within the Metaverse (MV) environment, emphasising the crucial role of immersive experiences (IEs). This study aims to understand how IEs influence UE and the mediating effects of hedonic value (HV) and utilitarian value (UV) on this relationship. Additionally, the authors examine the moderating impacts of user perceptions (UPs) such as headset comfort, simulation sickness, prior knowledge and ease of use on the utilisation of the MV. This study seeks to elucidate the dynamics of virtual travel at a pre-experience stage, enhancing the comprehension of how digital platforms can revolutionise UE in travel and tourism.

This study used a triangulation methodology to provide a thorough investigation into the factors influencing UE in the MV. A systematic literature review (SLR) was conducted to frame the research context and identify relevant variables. To gather empirical data, 25 interviews were performed with active MV users, supplemented by a survey distributed to 118 participants. The data collected was analysed using structural equation modelling (SEM) to test the hypothesised relationships between IEs, UPs, HV and UV and their combined effect on UE within the MV.

The findings from the SEM indicate that engaging in the MV leads to a positive IE, which significantly enhances UE. Additionally, it was discovered that HV and UV play a mediating role in strengthening the link between IEs and UE. Furthermore, UPs, including headset comfort, simulation sickness, prior knowledge and ease of use, are significant moderators in the relationship between IEs and MV usage. These insights provide a nuanced understanding of the variables that contribute to and enhance UE in virtual environments.

This research contributes original insights into the burgeoning field of digital tourism by focusing on the MV, a rapidly evolving platform. It addresses the gap in the existing literature by delineating the complex interplay between IEs, UPs and value constructs within the MV. By using a mixed-method approach and advanced statistical analysis, this study provides a comprehensive model of UE specific to virtual travel platforms. The findings are particularly valuable for developers and marketers in the hospitality and tourism sectors seeking to capitalise on digital transformation and enhance UE through immersive technologies.

The present study aims to investigate the relationship between building regulations, urban planning, and perceptions of housing affordability and prices in Prishtina, Kosovo.

A self-report survey with 1,000 respondents, selected through stratified probability sampling, provided the necessary data. Principal component analysis was applied to the questionnaire's internal structure, while regression analysis helped uncover housing affordability and housing prices perception predictors.

The study found that building regulation standards and zoning/land-use regulations reveal positive relationships with housing prices and housing affordability perception. Among these components, building regulations and standards show a stronger connection with housing affordability and price perception in comparison to urban planning and development.

By investigating the relationship between building regulations, urban planning, and housing affordability and price perception in Prishtina, the present research makes a valuable contribution to the existing literature. The findings of this research hold significant implications for policymakers, urban planners, and developers, highlighting the relevance of adopting a well-balanced approach to building regulations and urban planning in order to uphold and maintain housing affordability and understand housing price dynamics.

The novelty of this research originates from the investigation of these relationships within a rapidly urbanizing city context, contributing to a deeper understanding of the complex dynamics between regulatory policies and outcomes in the housing market. Further research should examine additional dimensions and employ longitudinal designs to gain a deeper understanding of the components predicting housing affordability and price perception in Prishtina and similar urban contexts.

This paper aims to examine the nexus among cloud-based accounting (CBA), employee job performance (EJP) and operational performance (OPP) in the circumstances of Vietnam, an emerging nation. In which the authors examine EJP as a mediator variable inside the research model. Furthermore, the employee digital skills (EDS) factor is examined as a moderating variable for the CBA-EJP nexus and the CBA-OPP nexus, respectively.

The study’s sample was acquired through extensive screening methods. This study used email surveys to acquire data. The survey was sent to 1,200 chief financial officers of Vietnamese firms. For analysis, the ending pattern of 401 e-surveys was used.

By using partial least squares structural equation modeling, the results imply that the CBA has a favorable effect on EJP and OPP. Furthermore, EJP favorably mediates the linkage between CBA and OPP, whereas EDS play a significant moderator role in the CBA-EJP nexus and CBA-OPP nexus, respectively.

This study highlights the crucial role of human factors (i.e. EDS and EJP) for the internal modern applying behaviors (i.e. CBA) and firm value (i.e. OPP) of firms in emerging markets. Therefore, managers should scrutinize the performance of human factors in an essential interval to improve modern applied behaviors and make them more powerful, thus improving the OPP of their firms. Substantially, firm managers should focus on employing the EDS, which enhances the CBA-EJP nexus and the CBA-OPP nexus, respectively.

This study enlarges the OPP documentation by detailing the beneficial effects of human factors as well as the CBA. Furthermore, the study recognizes the effectiveness of EDS as a moderator variable in the context of developing economies. Finally, this work has been regarded as earlier empirical research that integrates all of the aforementioned components into a single model in emerging economies, particularly Vietnam.

Previous research has indicated that entrepreneurial marketing (EM) positively influences small and medium-sized enterprises’ (SMEs) performance. While most studies have examined the relationship in a stable environment, EMs’ effectiveness during environmental instability remains uncertain. Therefore, the study aims to investigate the influence of EM on Indian manufacturing-based SMEs’ performance during the COVID-19-induced environmental instability. Additionally, it explores the mediating role of innovative performance in the relationship between EM and SME performance.

The data were collected by distributing a structured survey questionnaire to 302 owners/managers of SMEs. Hypotheses were tested using structural equation modeling (SEM).

The result indicates that EM significantly impacts both innovation and SME performance. Furthermore, the innovative performance partially mediates the link between EM and SME performance. The findings suggest that even within severely affected sectors (manufacturing) during the pandemic, SMEs can achieve growth and innovation through effective EM practices.

This study validates the theoretical notion that EM remains effective even in unpredictable environments such as the COVID-19 pandemic. The findings offer valuable insights for SMEs seeking innovative strategies to enhance their performance, particularly those in emerging economies.

Prior studies have relied on a single layer of abstraction to analyze the impact of EM. The present study is the first to extend standard construct (EM) conceptualization. Furthermore, it evaluated the efficiency of EM in situations characterized by instability, which is rare in the EM and SME literature.

This study aims to explore the relationship between digital transformation, transformational leadership style and artificial intelligence (AI) in accounting in the context of Vietnam as an emerging market. Additionally, it examines the role of transformational leadership style as a moderator in the nexus between digital transformation and AI in accounting.

Data was collected through e-survey questionnaires distributed to Vietnamese manufacturing firms following comprehensive screening to ensure representativeness of the entire population. A final sample of 510 responses was analyzed.

Using partial least squares structural equation modeling, our findings reveal that digital transformation and a transformational leadership style positively influence AI in accounting. Furthermore, transformational leadership style demonstrates a significant moderating effect on the relationship between digital transformation and AI in accounting.

This study discusses the benefits of incorporating AI in accounting for managerial decision-making. It underscores the critical importance of digital transformation in contemporary accounting practices, particularly with regards to AI in accounting. Consequently, managers are encouraged to embrace digital transformation, leveraging national policies, to enhance their firm's utilization of AI in accounting. Moreover, managers should focus on developing their transformational leadership style to maximize the aforementioned outcomes.

This study contributes to the literature on AI in accounting by highlighting the positive effects of digital transformation and a transformational leadership style. Additionally, our findings underscore the effectiveness of a transformational leadership style and its moderating influence. Finally, this study presents a pioneering empirical investigation that integrates transformational leadership style with AI in accounting within developing economies, specifically Vietnam.

Our study was designed to investigate the longitudinal trajectories of student leader development capacities in a sample of students enrolled in multiple leadership-focused courses across several semesters. Our goal was to assess the degree to which course enrollment was associated with growth over the time that students engage as undergraduates in academic leadership programs, and if so, to assess the shape and speed of capacity change.

We utilized a multilevel intra-individual modeling approach assessing students’ motivation to lead, leader self-efficacy, and leadership skills across multiple data collection points for students in a campus major or minor focused on leadership studies. We compared an unconditional model, a fixed effect model, a random intercept model, a random slope model, and a random slope and intercept model to determine the shape of score trajectories. Our approach was not to collect traditional pre-test and post-test data – choosing to collect data only at the beginning of each semester – to reduce time cues typically inherent within pre-test and post-test collections.

Our results strongly suggested that individual students differ greatly in the degree to which they report the capacity to lead when initially enrolling in their first class. Surprisingly, the various models were unable to predict a pattern of longitudinal leader development through repeated course enrollment in our sample.

Our investigation employed statistical methods that are not often utilized in leadership education quantitative research, and also included a data collection effort designed to avoid a linear pre-test/post-test score comparison.

Organisational responses to the United Nations Sustainable Development Goals depend on the competency and mindset of business leaders to lead responsibly. This study is informed and underpinned by the Principles of Responsible Management Education. This study aims to examine how embedding the “sustainability mindset principles” within a university programme can contribute to responsible management education and, by extension, leadership development.

An illustrative case study using 84 students was applied, including undergraduate, postgraduate and executive Master of Business Administration students. An exploratory, qualitative design was followed, primarily adopting focus groups.

Evidenced learning gains in connecting sustainability knowledge with personal beliefs and behaviours, provide a compelling basis for educational and business practitioners to focus on the sustainability mindset principles (SMPs). Mapping of mindset against leading global competency frameworks provides important theoretical insight. Learning is illustrated through multiple dimensions (i.e. cognitive, behavioural and affective) to inform leadership development approaches.

The mapping of sustainability competency frameworks against the SMP, alongside qualitative research insights, provides a compelling basis for further research into the learning gains from embedding the mindset principles. The situated nature of the study and the lack of longitudinal measurement of what students take forward into their lives and workplaces is a limiting factor to be considered.

This study evidences the value of “whole-person” learning for responsible management, which can helpfully inform the design of both educational and workplace leadership development programmes.

This study is original in the pedagogic examination of the learning dimensions of the SMPs in a Business and Management programme. It also offers new insights in terms of the implications for leadership development.