Decision-making Activities Research Articles

Choose your own T-cell fate: creation of a narrative-based, decision-making activity to engage students in immunology.

Undergraduate courses in immunology are content-heavy and combined with a new, complex vocabulary, can be an overwhelming subject for students. In-class active learning approaches have been found to improve understanding of difficult concepts in science, technology, engineering and mathematics (STEM) disciplines; however, many undergraduate courses maintain a high dependence on lecture-style teaching because of time constraints, content demands and student resistance. We designed an online, out-of-class activity, the "Life and Death of a Tcell", to complement a lecture on a complex immunological concept, T-cell development. Inspired by the "Choose Your Own Adventure" children's books, a fictional narrative was created in which students assume the role of a cell with a dream of becoming a helper Tcell. Decision-making scenarios then prompt students to draw on their knowledge from the lecture to successfully navigate the steps of T-cell development. The activity was built on two platforms, Google Forms and H5P (HTML 5 Package), both of which are readily accessible and allow the inclusion of branching logic and the creation of a decision tree-based activity. An anonymous survey revealed that students found this interactive approach enjoyable, and their perceived understanding of the content significantly increased. Students appreciated the inclusion of a novel learning resource, with requests for similar activities to be developed for other immunological concepts. In conclusion, we developed a narrative-based, decision-making activity to complement a lecture on T-cell development. As an out-of-class activity, this style of learning approach can potentially capitalize on the benefits of active learning, while also overcoming barriers of student resistance.

Technology-Enhanced Art and Sustainable Discourse Practices

This study explored the potential of technology-enhanced art in fostering sustainable discourse practices and social connection in the digital age. As technology advances, new opportunities emerge to integrate digital tools into creative practices, particularly in the realm of art. By examining the intersection of art, technology, and discourse analysis through a sustainability lens, this research aims to uncover innovative approaches to promoting effective communication, civic engagement, collaboration, intercultural understanding, empathy, and resilience incorporating co-design processes, shared decision-making, or collaborative art-making activities. The study provides an overview of technology-enhanced art practices including social media, virtual reality, interactive installations, and digital storytelling tools, and their impact on discourse practices within diverse socio-cultural contexts. It investigates the role of digital platforms and creative processes in facilitating social connection through discourse. The research focuses on a thematic approach to technology-enhanced art interventions that promote sustainable discourse practices and social connection. Through a thematic and intervention-based approach, this research combines a review of current literature with case studies showcasing the successful implementation of technology-enhanced art interventions. So the current study argues that technology-enhanced art holds significant potential for fostering sustainable discourse practices and social connection in the digital age. By harnessing the power of digital tools and creative processes in an environmentally conscious manner, artists, educators, and practitioners can support social connections. This, in turn, contributes to personal, social, and environmental resilience in a rapidly evolving technological landscape.

A knowledge-guided process planning approach with reinforcement learning

With the widespread application of computer-aided technologies such as CAD and CAM in the manufacturing industry, a growing number of process documents and design documents generate multi-source process knowledge and expert experience. However, due to the diverse and complex representation of process knowledge, there is a need for more effective methods to mine a large amount of multi-source information and to exploit the explicit and implicit relationships between the knowledge contained in process knowledge. Effective knowledge reuse in process planning still needs to be improved. This paper proposes a reinforcement learning approach that combines knowledge graphs and process decision-making activities in process planning to exploit the learning potential of process knowledge graphs. Firstly, a reinforcement learning environment for process planning is introduced to model the process planning decision-making phase as a sequential recommendation of process knowledge. Then, this paper designs in detail the state representation method that combines process decision sequences and potential relationships between processes. This paper also creates the composite reward function that combines the process planning environment. In addition, a new algorithm is proposed for learning the proposed model more efficiently. Experimental results show that the network structure has more accurate recommendation results than other methods.

Efforts to Increase Community Participation in Supporting The Continuity of Ecotourism Development Policies

This research aims to identify strategies that enhance community participation in supporting the sustainability of ecotourism development policies. The study specifically explores how local communities can be involved in decision-making, implementation, benefit-sharing, and evaluation activities within ecotourism projects. The methodology used is a qualitative literature review, drawing on secondary data from sources such as journal articles, theses, government reports, and books relevant to community engagement and ecotourism. The results indicate that active community participation significantly improves the sustainability and success of ecotourism projects. By engaging local communities, ecotourism not only promotes environmental and cultural conservation but also brings economic benefits, such as job creation and income growth for local populations. In particular, the involvement of communities in planning and policy evaluation is essential for aligning ecotourism initiatives with local needs. The conclusion emphasizes that fostering community involvement through education and training is critical for empowering communities and ensuring the long-term sustainability of ecotourism projects. This research provides valuable insights for policymakers to create more inclusive and sustainable ecotourism development strategies. Keywords: ecotourism, policy, community

Machine learning embedded hybrid MCDM model to mitigate decision uncertainty in transport safety planning for OAS countries

Providing defensible decisions is a prerequisite for methodologies of multi-criteria decision-making (MCDM) activities, and this is especially true for socio-economic analysis in public sector. This study proposes an all-in-one MCDM model with machine learning algorithms. The model integrates the method based on the removal effects of criteria (MEREC), combined compromise solution (CoCoSo), and density-based spatial clustering of applications with noise (DBSCAN), i.e., MEREC–CoCoSo–DBSCAN. In particular, the uniform manifold approximation and projection (UMAP) is implanted in DBSCAN to reduce the data dimensionality, and the k-nearest neighbors (KNN) algorithm is embedded to determine the inflection points (ɛ) and minPts in the data. This counters the inherent model failure of DBSCAN in dealing with high-dimensional data and eliminates the requirement for manual intervention in the model procedure, thereby fully avoiding potential human error and automating the computing process. A case study on benchmarking transport safety systems for member countries of the Organization of American States (OAS) demonstrates the reliability, adaptability, and efficiency of the proposed model. It moreover reflects its feasibility in resolving real-life socio-economic issues by offering valuable insights and potential solutions in economic investment and funding allocation in regard to transport safety strategy. Overall, this study provides government officials, managers, and policymakers with a valuable tool for handling MCDM activities in socio-economic development with considerable practicality and credibility.

Neural dynamics of reversal learning in the prefrontal cortex and recurrent neural networks.

In probabilistic reversal learning, the choice option yielding reward at higher probability switches at a random trial. To perform optimally in this task, one has to accumulate evidence across trials to infer the probability that a reversal has occurred. In this study, we investigated how this reversal probability is represented in cortical neurons by analyzing the neural activity in prefrontal cortex of monkeys and recurrent neural networks trained on the task. We found that neural trajectories encoding reversal probability had substantial dynamics associated with intervening behaviors necessary to perform the task. Furthermore, the neural trajectories were translated systematically in response to whether outcomes were rewarded, and their position in the neural subspace captured information about reward outcomes. These findings suggested that separable dynamic trajectories, instead of fixed points on a line attractor, provided a better description of neural representation of reversal probability. Near the behavioral reversal, in particular, the trajectories shifted monotonically across trials with stable ordering, representing varying estimates of reversal probability around the reversal point. Perturbing the neural trajectory of trained networks biased when the reversal trial occurred, showing the role of reversal probability activity in decision-making. In sum, our study shows that cortical neurons encode reversal probability in a family of dynamic neural trajectories that accommodate flexible behavior while maintaining separability to represent distinct probabilistic values.

Exploring decision-making practices during coaching sessions in grassroots youth soccer: a mixed-methods study.

Decision-making ability in players during match-play is mostly acquired through practice activities with the same underlying structure as competition. However, researchers have not fully investigated how coaches design practice sessions at the participation level of the sport (i.e. 'grassroots'), or why they use a particular activity at a specific time point. This study explores the practice activities employed by youth soccer coaches at the participation level in England and aims to understand their underlying intentions. Twelve male coaches working with players aged 9-11 years across ten clubs in the London region participated. Thirty-five practice sessions were filmed and analysed to assess the proportion of time spent in activities involving 'non-active decision-making' (e.g., technical practices, fitness training) versus 'active decision-making' (e.g., small-sided and conditioned games, skills practice with realistic opposition). A brief on-field interview with the coaches about the session purpose took place immediately after each systematic observation. Coaches allocated similar amounts of time to activities with active (M = 41%) and non-active (M = 42%) decision making, with the remaining 17% being transitions. There was a common progression from non-active decision-making activities early in the session towards increased active decision-making later in the session. Interviews with coaches revealed a belief in the necessity of frequent non-active decision-making practices for technique development, despite potential disparities with improving match performance. Findings highlight a potential gap between scientific understanding and coaching practices for young soccer players at the participation level, suggesting implications for coach education programmes and the optimisation of player development strategies.

Participation of Students in all Areas of Governance in Higher Education Institutions in the Light of the Literature – A Systematic Review

This paper presents a comprehensive methodology for conducting a systematic literature review on student participation in higher education institutions (HEIs), focusing on decision-making, student engagement, and extracurricular activities. Following PRISMA guidelines, the review uses evaluation criteria techniques to ensure the quality and transparency of information critical to the design of the paper. A search strategy utilising key terms across EBSCO and Web of Science databases identified 41 relevant articles. Each article underwent thorough analysis, addressing research inquiries about student participation in educational institutions. The review combines findings from diverse perspectives while highlighting students’ importance in decision-making and the relevance of student voices in this process. In addition, it highlights the importance of student engagement and the impact of extracurricular activities on academic success. Through such discussions, the paper emphasises the need for integrated frameworks focused on understanding student participation across higher education institutions, suggesting recommendations for optimising student involvement or participation in decision-making processes, fostering student engagement in teaching and learning, and enhancing participation in extracurricular activities. Overall, the paper highlights the multi-dynamic nature of student participation in the modern structure of higher education institutions and advocates for a holistic approach that empowers and motivates students to participate in all areas of the education system, which will go a long way in shaping their educational experiences.

Leveraging the innovation index (IVI): A research, development, and innovation-centric measurement approach

BackgroundIn today’s rapidly changing business landscape, innovation is recognized as a critical driver of growth and competitiveness for organizations. As businesses strive to remain agile and respond to evolving customer demands, the need for effective tools to assess innovation performance has become increasingly vital.Problem Statement: To better understand Research, Development, and Innovation (RD&I) projects, it might be valuable to investigate and implement new approaches to improve the current innovation indexes. Such exploration could allow for a more detailed and nuanced analysis, enabling a comprehensive evaluation of various aspects of the projects. It may be beneficial to explore ways to enhance the current innovation indexes to provide more nuanced and comprehensive insights into RD&I projects. Traditional indexes are not designed to account for the uncertainty, non-linear progression, and the necessity for long-term impact assessment of RD&I projects. Moreover, projects that involve both hardware and software components introduce additional complexities due to their interdisciplinary nature, integration challenges, and differing lifecycle speeds, making their assessment particularly challenging. GoalThis paper describes the conceptualization and evaluation of the InnoVation Index (IVI), underscoring its role in the innovation assessment within the complex landscape of RD&I projects, focusing on those involving hardware and software components. MethodThe methodology comprised a two-fold process. Initially, a literature review was conducted to comprehensively understand existing innovation indexes and their shortcomings, especially in hardware and software projects. Drawing on the insights from this review and leveraging the expertise of innovation specialists, we formulated the conceptual framework of the IVI. Subsequently, the IVI was implemented in an RD&I Centre affiliated with a public university in Brazil. ResultsThe IVI evaluation encompassed over 40 projects from collaborations with about 20 global IT companies. Rigorous data collection procedures were employed, involving at least three data collection sessions for different phases of each project. More than 150 data collection sessions engage project managers and business professionals to provide a comprehensive and in-depth understanding of the project activities and their innovation levels. Using the IVI measurement, we successfully identified “disruptive”, “potentially disruptive”, “potentially innovative”, and “non-innovative” projects, allowing stakeholders to tailor their strategies and resource allocation accordingly. ConclusionThe application of the IVI has proven instrumental in aiding stakeholders in decision-making, resource allocation, and project activity realignment. These results underscore the pivotal role of the IVI in overcoming the limitations inherent in traditional indexes, offering a tailored and efficient approach to assess and enhance innovation efforts within the RD&I context, especially in projects that bridge hardware and software domains.

The Concept of Corporate Social Responsibility in Higher Education Institutions in Perspective Ketadulakoan

This research aims to reconstruct the concept of Corporate Social Responsibility (CSR) in Higher Education Institutions (or University Social Responsibility) from a religious perspective. The Critical Paradigm is used as a paradigm for developing this research. Interviews, observation and documentation carried out data collection. Informants were selected based on the credibility of the researcher. Data analysis was carried out by reconstructing the concept of CSR in higher education institutions (USRs) based on religious values. The findings of this research are the philosophy of Tadulakoan to dismantle the values ??of secularism, materialism and individualism in the implementation of USR in Tadulako. The research results found accountability in the form of reporting related to 1) Level of courage (Natona Nalanggai) in fighting for justice to achieve peace, 2) Ability to achieve success through collaboration of various intelligences, 3) Fighting power in achieving success. 4) Excellence (Nabaraka) in creating innovations to ease human life. 5) Accuracy and caution (Nompangila) in decision-making. 6) Obedience and loyalty (Natuvu No Sangata) to leaders who fulfill their mandate. 7) Level of democracy in joint decision-making activities, 8) Awareness in protecting community interests and the environment. This research can be one of the research that supports and is in line with the Strategic Plan and research road map achieved by Tadulako University (UNTAD).

Needed competence for registered nurses working at a patient-centred telehealth service aimed to engage and empower people living with COPD: A five-month participatory observational study

BackgroundThe global population of older aged 65 and over is increasing, which means an increase in people living with long-term health conditions and multimorbidity. Implementing new digital health technologies enables increased patient empowerment and responsibility, and the ability to respond to changes in their condition themselves, with less involvement of healthcare professionals. Important parameters need to be addressed for this digitally enabled empowerment to be successful, these include increased individual and organizational health literacy, the establishment of joint decision-making activities among patients and healthcare professionals, and efforts that target the individual's ability to manage their condition, which include education to increase skills and providing technology for self-monitoring. ObjectiveTo identify needed competencies of digital healthcare professionals to be able to provide the needed services to service users with chronic obstructive pulmonary disease in a 24/7 digital healthcare service. MethodFive registered nurses' work was observed weekly for five months. In total 13 participatory observations were conducted. Data from the observations was transcribed and analysed through inductive content analysis. ResultsFive main categories were identified in the analysis; 1) tasks, 2) communication, 3) the relationships between the registered nurses, 4) service users, and 5) technology. These categories contain different competencies needed for registered nurses working in a digitalized healthcare system. ConclusionsFuture digital healthcare professionals will require several competencies, to be able to deliver proper care in a digital health community that goes beyond traditional healthcare competencies, including social, technological, and communication skills.

Decentralisation of the Health System Derailed by Organisational Inertia in Machinga, Malawi.

Managing the transition of a health system (HS) from a centralised to a decentralised model has been touted as a panacea to the complex challenges in developing countries like Malawi. However, recent studies have demonstrated that decentralisation of the HS has had mixed effects in service provision with more dominant negative outcomes than positive results. The aim of this study was to develop a substantive grounded theory (GT) that elaborates on how activities of central decision-makers and local healthcare mangers shape the process of shifting the HS to a decentralised model in Machinga, Malawi. The study was qualitative in nature and employed the Straussian version of GT. Some participants were interviewed twice, and a total of 36 semi-structured interviews were conducted with 25 purposively selected participants using an interview guide. The interviews were conducted at the headquarters of the Ministry of Health (MoH) and other ministries and agencies, and in Machinga District. Data were analysed using open, axial, and selective coding processes of the GT methodology; and the conditional matrix and paradigm model were used as data analysis tools. The findings of this study revealed seven different activities, forming two opposing and interactional sub-processes of enabling and impeding patterns that derailed the decentralisation drive. The study generated a GT labelled "decentralisation of the HS derailed by organisational inertia," which elaborates that decentralisation of the HS produced mixed results with more predominant negative outcomes than positive effects due to resistance at the upper organisational echelons and members of the District Health Management Team (DHMT). This article concludes that organisational inertia at the personal and strategic levels of leadership entrusted with decentralising the HS in Malawi, contributed immensely to the derailment of shifting the HS from the centralised to the decentralised model of health service provision.

A scientific approach to decision-making: Key tools and design principles

The recent empirical studies have shown the positive impact of a scientific approach to decision-making on entrepreneurial performance. Building on this evidence, this article offers a description of the scientific approach that is oriented toward its practical implementation by entrepreneurs. Focusing on the approach's two main pillars – the processes of theory building and evidence gathering – we outline a set of tools developed to facilitate the application of the scientific approach in practical decision-making activities. Ultimately, we derive a set of design principles that researchers can adopt to develop novel tools and methodologies to aid entrepreneurial actions based on the prescriptive aspects of the scientific approach.

Managerial involvement and accountability of public sector accountants

EThis study aims to identify the involvement of accountants working in the public sector in managerial decisions and the accountability process, analyzing the relationship between these two types of involvement with role conflict, job satisfaction, and professional prestige. The study adopts a quantitative approach with a cross-sectional design using survey research techniques. The questionnaire was administered to a sample of 215 Brazilian public sector accountants. The study reveals that public sector accountants are more involved in operational decision-making activities and less involved in strategic decisions. They also show low involvement in activities related to managerial decisions and financial and performance accountability. Additionally, the study demonstrates a significant relationship between involvement, role conflict, and professional prestige. Thus, despite the changing environment for accountants and public accounting, respondents in the study are still relatively less involved in these processes. Furthermore, the more involved they are in their roles, the more susceptible these professionals are to role conflicts in their duties, although their perception of professional prestige increase.

Guidance experiments on residents’ participation in decision-making activities related to urban settlement regeneration in China

In China, how to guide residents on actively participating in decision-making activities related to urban settlement regeneration is critical and must be addressed. Referring to the theory of planned behavior (TPB), combined with the characteristics of regeneration decision-making, the external environmental factors affecting residents’ participation in such decision-making activities, through impacting psychological environmental factors, were determined by establishing the structural equation model (SEM) and conducting a survey. The guidance measures of enhancing external pressure and providing regeneration information were selected. Participation guidance experiments were designed, and the typical communities located in the development zone and city center of Harbin, China were selected as the experiment regions. Forty-eight subjects were screened in each experimental region and divided into six groups; three participated in the experiments regarding the leading role of representatives, enhancing communication, and incentives, and three in the experiments on policy advocacy, regeneration technology popularization, and regeneration case sharing. Guidance measures’ effects for introversion or extraversion, regardless of region are, from large to small, incentives, regeneration case sharing, leading role of representatives, enhancing communication, policy advocacy and regeneration technology popularization. There are significant differences in the effects of enhancing external pressure measures between different personalities, and enhancing external pressure measures are more effective for extraversion. Although the differences in the effects of providing regeneration information measures are statistically insignificant, providing such measures is more effective for introversion. The results reflect the analysis of the influencing factors. TPB application is enriched and the guidance experiments used to verify guiding measures’ effectiveness are provided. Practically-significant implications include: communities and proprietor committees should organize neighborhood-relationship to enhance community activities, with the proprietor committee solving residents’ daily problems to win authority and trust, positively guiding residents’ participation. Community staff can also understand, via daily participation, residents’ personality traits, so as to implement the above-mentioned guidance measures.

INTELIGÊNCIA ARTIFICIAL NA PRÁTICA JURÍDICA

Artificial Intelligence plays a fundamental role in performing tasks that were previously only possible to be executed by the human mind. This includes decision-making, user interaction, image interpretation, and various other activities. Therefore, the objective of this research is to analyze how this technology is being used and how it can assist in the speed and accuracy of legal practice in public law firms, contributing to the increase in free access to justice. Additionally, the research also aims to identify the challenges associated with the use of Artificial Intelligence in the context of public and free access to justice. The methodology used for the study approach was qualitative research. Bibliographic and documentary research methods were employed for data collection. In short, it is clear that the use of artificial intelligence in legal practice, despite being recent and limited, is crucial for the advancement of public law and its accessibility. This is due to the fact that, through this technology, costs can be reduced and productivity increased.

Characteristics and Activities of Nurses in Expanded Roles Employed in Swiss Nursing Homes: A Cross-Sectional Study.

As the number of nursing home residents with multiple healthcare needs grows, the demand for nursing expertise increases. The implementation of new care models involving nurses with expanded roles is crucial for ensuring quality care in nursing homes. To investigate the characteristics and activities of nurses employed in nursing homes in expanded roles and the factors associated with variation in the activities performed. This multicentre cross-sectional survey in Switzerland collected data from a convenience sample of 118 nursing homes between September 2018 and October 2019. From a subsample of 62 nursing homes, we analysed the characteristics and activities of 104 nurses in expanded roles. Associations between the activities performed and the educational background of the nurses in expanded roles, their direct supervisors' positions and the presence of physicians in the nursing homes were examined. Most Registered Nurses in expanded roles were diploma educated (48%), with fewer having a bachelor's (35%) or master's degree (17%). Overall, direct clinical practice and guidance and coaching activities were conducted monthly to weekly; consultation, evidence-based practice, collaboration and ethical decision-making activities were conducted monthly. We saw variations where a higher educational background was associated with more frequent evidence-based practice activities (z = 3.47, p < 0.001), and if direct supervisors were ward managers, nurses in expanded roles worked more frequently below their scope of practice (z = 4.10, p < 0.001). This is the first study to use Hamric's integrative Advanced Practice Nursing model to examine the activities of nurses in expanded roles in nursing homes. We found considerable variation in their activities, where nursing homes seem to adapt their roles to their educational background and the local context. Our findings show the importance of clarifying role expectations for Registered Nurses in expanded roles, allowing them to practice at the top of the licence to meet residents' complex healthcare needs.

The Effect of Entrepreneurial Orientation on the Employability of Final Year Students

Unemployment of university graduates has been a severe problem faced by all parties involved in the world of work. Therefore, students are expected to be ready to join the workforce and pursue career development after graduation. This research examined the relationship between entrepreneurial orientation and student employability in facing challenges at the workplace. Entrepreneurial Orientation involves the processes, practices, and decision-making activities aimed at achieving successful outcomes. It impacts students' employability, encompassing the skills, knowledge, and personal attributes that enhance graduates' chances of securing employment and thriving in their chosen careers. This, in turn, benefits the individuals, the workforce, the community, and the economy. This research used a survey method, and the data was collected through an online questionnaire. A total of 478 final-year students of universities in West Java Province, chosen using the quota sampling technique, participated in this study. The linear regression analysis showed a significant influence of entrepreneurial orientation on employability by 50.2%. This shows that entrepreneurial orientation will affect the higher employability of final-year students in their career development.

50 years of research on working memory

Exactly 50 years ago, Allan Baddeley and Graham Hitch's (1974) working memory model fascinated academics and diagnosticians dealing with human cognition and fundamentally transformed the landscape of memory research. Working memory is the ability of the human mind that enables the creation and reception of messages, mental arithmetic, decision-making and other complex cognitive activities that require the temporary storage of necessary information and manipulation of it in order to perform current tasks (e.g. following the flow of a conversation). It is therefore one of the most dynamically developed areas of mind research in cognitive psychology, cognitive science, neuropsychology and the psychology of individual differences (especially in the diagnosis of intellect). The research dispute concerns many aspects of the construct of working memory described in detail: its structure, functions, capacity limitations, connection with consciousness, long-term memory, attention, etc. (cf. Logie, Belletier et al., 2021). The proposed solutions are so detailed that people who do not closely follow the literature on the subject may have difficulty understanding their essence. The origins of this creative confusion date back to the proposals of Baddeley and Hitch (1974), who carefully analyzed data on temporary memory and recognized it as a system composed of many interacting components, that is, separate subsystems storing information in different formats (e.g., visual or auditory), and from their superior subsystem, which manages the flow and use of the collected information. This article presents the context in which Baddeley and Hitch's (1974) multi-component model of working memory was developed, describes the milestones marking the dynamic changes it underwent, and lists the research projects that prompted a more detailed description of the individual components of the model. Although an influential part of contemporary competing approaches to working memory abandons many of Baddeley's theses (Cowan, 2017; Oberauer, 2019), each of them follows the conceptual paths forged by this author and must specify their positions in the questions asked during the fifty-year journey of working memory researchers.

The Neuroscientific Validation of the Leadership Competency Model Drenica

The Leadership Competency Model Drenica, developed by Çitaku and Ramadani in 2020, offers a comprehensive framework encompassing essential competencies crucial for effective leadership. However, validating the efficacy of these competencies necessitates exploring their neuroscientific underpinnings. This study conducted an extensive literature review to elucidate the neural mechanisms associated with each competency outlined in the Drenica model. The findings reveal a robust neuroscientific basis supporting these competencies, ranging from decision-making to communication and collaboration. Key neuroscientific validations include the role of prefrontal cortex activity and neurotransmitter balance in decision-making, the involvement of neural circuits in language processing and empathy for communication skills, and the contribution of neuroplasticity mechanisms to continuous learning and adaptability. Furthermore, the analysis underscores the importance of neurotransmitter systems such as dopamine, serotonin, and oxytocin in shaping leadership behaviors across various competencies. Understanding the neural substrates of effective leadership allows organizations to tailor leadership development programs to enhance organizational outcomes and foster a culture of innovation and inclusivity. Integrating neuroscience into leadership studies holds promise for advancing the understanding of leadership effectiveness and facilitating evidence-based practices in leadership development. In essence, this study underscores the significance of the Drenica model as a versatile tool for leadership development, enriched by neuroscientific insights, thus paving the way for Neuoleadership—a paradigm that leverages neuroscientific principles to cultivate effective leadership behaviors and drive organizational success.