Team Capability Research Articles

Time Is a Tool: Evaluation of a Prolonged Casualty Care Curriculum With a Focus on Temporal Fidelity.

In current and anticipated future conflicts, including large-scale combat operations, medical teams are tasked to provide prolonged casualty care (PCC) or extended patient care that occurs when delays in evacuation exceed the team's capabilities. Although the principles of PCC are often taught to military medical providers using simulation, educators rarely dedicate the time to training required to simulate the prolonged nature of these encounters. Therefore, a lack of knowledge exists regarding which aspects of extended care may be lost in an accelerated training scenario. To close this knowledge gap within military medical education and training, we modified an existing PCC curriculum at the USU, Operation Gunpowder, to focus on temporal fidelity, extending the length of the simulated encounter to 21 hours. We used a qualitative phenomenological design to explore the students' experiences and perceptions by closely analyzing their assigned reflection papers. We identified four themes from the students' reflection papers: (1) Recognized effects of fatigue, (2) navigated resource limitations, (3) realized the value of teamwork, and (4) noted the importance of communication and documentation. These themes revealed benefits of incorporating temporal fidelity into PCC training, including self-awareness of personal limits and possible strategies to mitigate fatigue when medical or operational mission requirements dictate sleep deprivation. Future studies are needed to determine other training scenarios that would benefit from adherence to temporal fidelity. Wars and disasters require medical providers trained in PCC. Future educational activities aimed at teaching PCC should continue to incorporate temporal fidelity to help teach these valuable lessons.

Integrating artificial intelligence in surgical sperm retrieval techniques: A narrative review

AbstractNonobstructive azoospermia (NOA) is a serious form of male infertility with therapeutic options limited to trials of endocrine manipulations and repertoire of surgical interventions, also known as surgical sperm retrieval (SSR) procedures. Despite its invasive nature, SSR remains crucial in the management of NOA, offering infertile males the opportunity of fathering their biological children using assisted reproductive technologies. Success rates of SSR are variably governed by several factors including the genetic background, preoperative endocrine optimization, testicular histopathology, surgeon's microsurgical expertise, and laboratory technological and technical team's capability. This paper explores the significant role of artificial intelligence (AI) in the process of sperm retrieval among NOA patients. The role of AI has evolved from basic predictive models used for outcome assessment and patient counseling, to advanced image processing capabilities for assessing sperm parameters, and now to cutting‐edge applications in identifying the rare sperm present in the azoospermic microdissection testicular sperm extraction tissue samples.

대한민국 국제구조대응능력 강화를 위한 INSARAG NAP 및 IRNAP 제도 도입 전략: 시스템 비교와 적용 가능성

This study compared the NAP, IRNAP, and IEC systems of INSARAG to enhance the international rescue capabilities of Korea's USAR team. This study employed a literature review, case studies, and surveys and interviews with rescue experts to assess the strengths and weaknesses of each system. Findings indicate that adopting NAP or IRNAP could positively affect Korea's compliance with international standards and rescue efficiency. The study provides strategic recommendations for preparing Korea's USAR team for international accreditation and future policy suggestions.

The impact of executive team competency-sharing degree on firm innovation performance

In China’s high-quality development context, the key role of executive teams in corporate innovation is increasingly prominent. However, effectively utilizing the synergistic effect of competencies within these teams to boost innovation performance remains a crucial research issue. A sample of 2,350 companies in Shanghai and Shenzhen A-shares from 2010 to 2022 was used to examine the impact of the executive team’s capability-sharing degree on firm innovation performance. The study indicates that the degree of managerial competence sharing, entrepreneurial competence sharing, and technological competence sharing within the executive team positively impacts firm innovation performance. These findings remain robust in the face of variations in dependent variable measures, lagged independent variables, and the propensity score matching method. Environmental dynamism is identified as playing a positive moderating role in the relationship between the influence of managerial, entrepreneurial, and technological capability-sharing degrees and firm innovation performance. Further analysis of heterogeneity reveals that the impact of the executive team’s capability-sharing degree on firms’ innovation performance varies based on the nature of property rights, firm size, and industry competitiveness. This study, grounded in top-level ladder theory, offers a framework for enhancing team capabilities and overcoming growth obstacles through executive team competence sharing.

Outcomes of patients with acute pulmonary embolism managed in-house vs those transferred between hospitals: a retrospective observational study

BackgroundInterhospital transfer (IHT) for acute pulmonary embolism (PE) is increasingly performed to improve access to advanced reperfusion therapies. It is unclear if outcomes of patients undergoing IHT are comparable with those of patients presenting in-house to hospitals with PE Response Team (PERT) capabilities. ObjectivesTo determine whether outcomes of patients with acute PE undergoing IHT differ from those of patients presenting in-house. MethodsWe retrospectively reviewed 386 patients with acute PE who were treated by PERT at 1 of 3 urban teaching hospitals in the Mount Sinai Health System in New York City from January 2021 to October 2023. Propensity score–weighted analysis was performed to compare the outcomes of patients managed in-house with those of patients undergoing IHT. ResultsTwo hundred eighty-four patients presented in-house, while 102 were transferred from other hospitals. Median PE Severity Index score was 84, and 3 (0.8%), 80 (20.7%), 237 (61.4%), and 66 (17.1%) had low-risk, intermediate low–risk, intermediate high–risk, and high-risk PE. Odds of receiving systemic thrombolysis (odds ratio [OR], 1.06; P = .06) or advanced therapies (OR, 0.95; P = .003) were not significantly different between the 2 groups. Rates of 30-day mortality, major bleeding, and readmission were 6.9%, 2.9%, and 9.8% for the IHT group and 10.6%, 2.1%, and 13% for the in-house group, respectively. IHT patients had lower odds of 30-day mortality (OR, 0.88; P = .003) and higher odds of major bleeding (OR, 1.03; P = .04). ConclusionPERT-guided IHT for patients with acute PE was associated with reduced mortality but increased risk of bleeding compared with patients managed in-house at hospitals with PERT capabilities.

Penerapan Root Assessment Method dan Pembobotan ROC untuk Evaluasi Kinerja Tim Penjualan

The performance of the sales team is one of the important indicators of a company's success, which is measured through the achievement of sales targets, negotiation skills, and efficiency in managing customer relationships. Problems in the appraisal of sales team performance often arise due to various factors that affect objectivity and fairness in evaluation. One of the main problems is the lack of consistent assessment standards, where each team member may be assessed with different assessment opinions, leading to bias in evaluation results. The application of the Root Assessment Method and ROC Weighting in the performance evaluation of the sales team is an innovative and effective approach to improve productivity and team performance. The combination of these two methods not only facilitates in-depth analysis of individual and team performance, but also supports strategic decision-making in the continuous development and improvement of sales team capabilities. The results of the sales team's performance evaluation assessment ranking, Team J ranked first with a final score of 4.3981, showing the most superior performance among the entire team. In second place, Team G obtained a score of 4.388, followed by Team D in third place with a score of 4.3752. These results provide a comprehensive picture of each team's performance rankings, with Team J showing top performance, while Team F needs further improvement.

What evidence exists relating the impact of different grassland management practices to soil carbon in livestock systems? A systematic map protocol

BackgroundGrasslands are essential for providing vital resources in the livestock sector and delivering invaluable ecosystem services such as biodiversity and soil carbon (C) sequestration. Despite their critical importance, these ecosystems face escalating threats from human disturbances, human degradation, and climate change, compromising their ability to effectively stock C. Restoring degraded grasslands emerges as a pragmatic and cost-effective approach to tackling climate change. However, the successful implementation of grassland management toward this goal, faces significant challenges. A systematic mapping approach will help to compile a comprehensive global inventory of studies investigating the impact of differing grassland management practices on soil carbon. In addition, the potential for trade-offs with other greenhouse gas emissions further underlines the value of a systematic assessment. This approach aims to identify knowledge clusters (i.e., well-represented subtopics that are amenable to full synthesis) for potential systematic reviews and pinpoint knowledge gaps requiring further primary research efforts, all contributing to a better understanding of the evidence surrounding this topic.MethodsFollowing systematic evidence synthesis standards, we developed the question to address in the systematic map protocol using the PICO framework. We established a preliminary search string by combining search terms for the Population (Grasslands), Intervention (management) and Outcome (soil carbon) categories, as well as with one additional group (Study types—to focus on farm and field experiments). We will conduct a comprehensive literature search of relevant peer-reviewed and grey literature using Web of Science, Scopus, CABI platforms, Google Scholar, and specialised websites (e.g., Agrotrop). Searches will be conducted in the English, Spanish, Portuguese, French, German, and Mongolian languages, as per the linguistic capabilities of the research team. The comprehensiveness of the search will be assessed by comparing the literature collected to a test-list of forty relevant articles. The repeatability of the literature screening process will be ensured by a list of inclusion/exclusion criteria and inter-reviewer consistency statistical tests. Data extraction will be organised into four complementary sections (article information, PICO categories, study characteristics, measurable parameters), on which we will perform queries to produce the tables, figures and evidence maps that will compose the systematic map. The results will identify and describe knowledge gaps and clusters.

Early warning response to rainstorm: Designing a model with incentive and supervision mechanisms based on the principal-agent theory

Owing to the increasing frequency of rainstorm disasters, strengthening the link between meteorological warning and emergency response that is early warning response has become crucial. However, early warning response usually fail, the underlying reasons behind this phenomenon and their improvement measures need to be urgently explored. This study uses the principal–agent theory to establish an incentive-constraining model based on hierarchical government to explore this problem. Considering the interest game between the superior and local governments, we mainly discuss how to design the optimal incentive mechanism under the condition of information asymmetry to enhance the local government's enthusiasm for providing an early warning response to rainstorm, thereby maximizing the benefits for both parties in the model. Furthermore, based on actual conditions, we use numerical simulation to present the model results more clearly. The results indicate that incentive and supervision mechanisms are mutually substitutable. Strong early warning capability and active public cooperation can improve the local government's enthusiasm for providing an early warning response. Excessive costs lead the local government to adopt a negative attitude toward warning, regardless of supervision is introduced. Only when the local government exhibits strong risk aversion and its investment is affected by numerous random factors, introducing supervision is effective. Meanwhile, too many external factors, excessive or insufficient supervision's intensity also affect the optimization effect of supervision on incentive contract. To maximize the effectiveness of supervision, the superior government should improve the supervision team's capability, and maintain the supervision's intensity within a reasonable range.

Leveraging Artificial Intelligence for Enhanced Performance in Matrix Organizations: A Research Perspective

In today's complex business landscape, matrix organizations represent a prevalent structural framework characterized by overlapping reporting structures and cross-functional project teams. This organizational model, while offering flexibility and specialization, also presents unique challenges in resource allocation, decision-making, collaboration, and project management. This research paper investigates the potential of artificial intelligence (AI) to address these challenges and enhance the performance of matrix organizations. Drawing upon an extensive review of existing literature and relevant case studies, the paper provides a comprehensive analysis of AI's role in optimizing various aspects of matrix organization operations. Specifically, it examines how AI technologies can streamline resource allocation processes by analyzing project requirements, team capabilities, and individual skill sets to ensure optimal staffing levels and skill matching across projects. Additionally, the paper explores AI's capabilities in providing decision support to managers and team leaders by leveraging data analytics to offer insights into project progress, risk assessment, and performance evaluation.

How Leaders ‘Strength of Heart’ and ‘Strength of Will’ Enhance Team Performance

ABSTRACT We investigate the influence of leaders’ dispositional compassion on team development and performance through two studies. In the first multi-source study (n = 154 team leaders), leaders’ dispositional compassion is found to be associated with improved team performance through the adoption of helping behaviors aimed at developing team capabilities. This relationship is moderated by leaders’ perseverance, suggesting that compassionate leaders transition from being inclined to help to actually helping only when they also demonstrate perseverance. In the second multi-source longitudinal study (n = 52 team leaders), we find support for the notion that the positive effect of leaders’ dispositional compassion on team development-helping behaviors is conditional on leaders’ perseverance, thus reinforcing our findings from the first study. We suggest that although dispositional compassion, a “strength of heart,” is a well-known predictor of helping, the feelings and intentions of compassion do not guarantee helping behaviors. Translating these feelings and intentions into compassionate behaviors requires perseverance – a “strength of will.” Hence, our study indicates that leaders’ dispositional compassion is not just a potential humanizing force but also positively correlates with team performance. However, the impact of leaders’ dispositional compassion on team performance only emerges through perseverance in the face of challenges.

An exploration of hybrid instruction intentions amongst higher education teachers in post-Covid-19 times

ABSTRACT This study used the Unified Theory of Acceptance and Use of Technology (UTAUT2) model to (i) predict factors influencing HE faculty members’ acceptance of hybrid instruction and (ii) identify factors influencing the faculty members’ behavioural intention to use hybrid instruction. Data were analysed using SPSS 22 and AMOS 23 software. Structural equation modelling techniques were used to analyse 114 data responses gathered online from faculty members. Results show that performance expectancy, social influence, hedonic motivation, regulators’ support and project team capability affected the behavioural intention of faculty members to use online teaching, whereas effort expectancy, facilitating conditions, price value and facilitating leadership did not. The results confirmed the direct impact of behavioural intention of faculty members on the use of online teaching. This research further extends the unified theory of acceptance and use of technology by introducing and validating three new constructs: facilitative leadership, regulatory support, and project team capability. The findings of the study add significant value to the acceptance of hybrid teaching among teachers, and informs how faculty members might be trained and supported.

Practical Strategies for Improving the Quality of University Journals from the Perspective of Editors

With the deepening of academic research and exchanges, university journals, as crucial academic publishing platforms, play a significant role in the education sector, benefiting schools, teachers, and students alike. This paper delves into the quality connotation of university journals from the perspective of editors. Furthermore, it analyzes the current challenges in the publication and implementation of university journals, highlighting issues such as lack of distinctiveness and limited quality, which warrant further exploration and scrutiny. Finally, the research proposes a series of practical and effective improvement strategies. It aims to mobilize the efforts of all stakeholders, enhance team capabilities, and strengthen peer review processes to foster the advancement and enhancement of journal quality. Additionally, it aspires that the suggested methods will offer valuable insights to frontline educators and administrators.

Policy Implementation of Minister of Home Affairs Regulation No. 48 of 2021 concerning Development Planning and Supervision of Regional Government Implementation (Study at the Waropen Regency Inspectorate)

The purpose of this research is to see the performance of the Regional Inspectorate in carrying out the function of supervising government administration in Waropen Regency (Human Capital Based). Human resources are an instrument for increasing productivity to maintain organizational sustainability. One way of the Government's commitment to realizing good governance, especially eradicating corruption, collusion and nepotism, is to increase the role of the Government Internal Supervisory Apparatus (APIP). This research uses a qualitative method with a case study design. Data collection techniques are interviews, observation and studies and documents. The research results stated that the performance of the Waropen Regency Inspectorate was relatively low. In carrying out its supervisory function, the Waropen Regency Inspectorate does not use expert auditors. However, it is supported by auditors from the Financial Audit Agency (BPK). Developing organizational competence and working capabilities of the APIP team needs to be carried out in achieving clean governance. In achieving clean governance, it is necessary to pay attention to supporting and inhibiting factors as well as efforts to overcome obstacles in improving the performance of the APIP team

Industrial R&D project portfolio selection method using a multi-objective optimization program: A conceptual quantitative framework

Design/methodology/approach: Research and development (R&D) activities are crucial if companies are to adapt to technology changes, but budget constraints and limited resources often force companies to select a subset of candidate projects through portfolio selection techniques. However, existing models for R&D portfolio selection do not adequately consider interdependencies and types of projects, and this can lead to suboptimal selection and misalignment with corporate objectives.Findings: A Multi-Objective Optimisation Program (MOOP) is suggested transcending from classic manpower, time and financial planning into addition of strategic, skills and commercial objectives. A Pareto front is used as validation mechanism.Research limitations/implications: Project selection processes are widened with select and critical quantitative positions. Potentials remain in areas of team capability, corporate capabilities, deeper skill understanding, and stakeholder engagement.Practical implications: A quantitative validation is often overlooked in PPM project selection over more qualitative or idiosyncratic selection methods.Originality/value: A quantitative validation is often overlooked in PPM project selection over more qualitative or idiosyncratic selection methods.

Agile software development projects–Unveiling the human-related critical success factors

ContextInvestment in information technology is associated with better business performance when its implementation is successful, but it has high costs in case of failure, especially for large software development projects, which typically have the highest failure rates. Agile methodologies emerged with the expectation of reducing the risk of software development project failure. ObjectiveThis research aims to answer the following question: What are the human-related critical success factors for agile software development projects to succeed? The research model comprises four explanatory variables (team capability, customer involvement, psychological safety, and team autonomy) and one dependent variable (success of agile software development projects). MethodA questionnaire-based survey was carried out, resulting in 177 valid responses. A Partial Least Squares (PLS) analysis was performed to test the theoretical model. ResultsThe findings indicate that team capability and customer involvement have the strongest effects on the success of agile software development projects. The results also show that psychological safety is a significant indirect success factor and that team autonomy appears to have a competing dynamic with psychological safety on the other two factors. ConclusionTo the best of our knowledge, this is the first study to examine the direct impact of psychological safety and its indirect effect, mediated by team capability and customer involvement, on the success of agile software development projects. The mediation, moderation, and direct effects are studied, offering theoretical and practical insights.

Composite rating method: Application to European basketball leagues

ABSTRACT This paper introduces the Composite Rating Method (CRM), a novel approach for the integrated evaluation of basketball player and team performances across multiple leagues. Utilizing data from Euroleague, EuroCup, and Basketball Champions League, the presented method provides comprehensive and accurate rankings, including accounting for actions not included in personal statistics. Drawing inspiration from established methodologies such as ELO, PER, Offensive and Defensive ratings, CRM offers a balanced assessment of player and team capabilities. The paper delineates the data collection and preprocessing procedures, details the algorithmic framework of CRM, and showcases its predictive capacity. By presenting a well-rounded approach to ranking, this paper aims to contribute to the advancement of performance evaluation methods in basketball and sports in general.

A Study on People’s Preferences for Pharmaceutical Company Creation after the Covid Epidemic in China: A Discrete Choice Experiment

The global healthcare industry has surged in significance in response to the COVID-19 pandemic, and China has actively incentivized entrepreneurial endeavors, including tax benefits. This study seeks to explore the preferences of individuals venturing into the healthcare sector in the post-pandemic landscape. Through convenience sampling we obtained valid data from 500 participants. Subsequently, we constructed logit and latent class models and conducted a subgroup analysis based on gender. The results indicated that: (1) the participants valued “Prospects of enterprise” and “Entrepreneurial team capabilities” the most, which was followed by “Available funds”; (2) participants were divided into five classes, with the largest number of participants in class 2, whose preference distribution approximates the distribution of the total participant population; (3) Male and female preferences differed in a way that was statistically significant; and (4) Class 2 had the highest leadership scores, while Class 5 scored higher on the “Agreeableness” of the Big Five-Factor Inventory than the other four factors. we underscores the importance of entrepreneurs adapting to changing societal needs and policymakers facilitating healthcare startups with increased funding and comprehensive training support.

Fostering Village Prosperity: Digital Innovations in Service Information and Uplifting UMKM Marketing Transforming Desa Balongdowo in Indonesia

In today's digital era, marketing trends are evolving along with increasingly sophisticated technological changes. Digital marketing comes as a new innovation where the marketing process of a product or service can be done through digital or internet. Digital marketing provides opportunities for businesses of various sizes and types of businesses that want to be marketed, while introducing their products to a wider market at a more affordable price. On the other hand, village development currently requires information technology to improve services to the community. website-based information systems can improve services to the community so that information to the community can be accessed easily and accurately. This Community Service activity is carried out to support the progress of Balongdowo Village through digital marketing and village information systems that can provide benefits to the community and local businesses. Target achievements in terms of Digital Marketing include the achievement of increased sales of processed kupang products and expansion of buyer reach. As well as the achievement in terms of Information System is the better-known profile and potential of Balongdowo village through the village website. Implementation in the field of Digital Marketing is done through seminars and mini workshops to Balongdowo villagers and MSMEs on how to register and market processed kupang products in e-commerce. Implementation in the field of Information Systems includes the creation of an information system portal in the form of a Balongdowo Village website. The method used in this Community services includes the implementation of Forum Group Discussion (FGD) for the initial understanding of the community regarding e-commerce. Followed by digital marketing training and evaluated through the buying and selling process in e-commerce. As for the field of Information Systems, FGD was also conducted, followed by a mini workshop on the operation of the Balongdowo Village Website Portal, as well as assistance in making multimedia documents and uploading them on the village website portal. And the evaluation can be seen in the development of the information system portal. Currently, Balongdowo Village already has a website, as well as the success of several business actors in Balongdowo Village who have accounts on Tokopedia, Shopee and Blibli. Digital marketing assistance provides benefits in improving the capabilities of the digital marketing team and strategy innovation. The creation of the Village Service Information System (SIPD) improved the efficiency, transparency and effectiveness of village services, and enabled better data management.

Environmental prediction and innovation

​Using weather-related hazards research as a starting point, this paper shows how a research effort focused on natural hazards prediction has developed a capability (EcoConnect) that is now demonstrating benefits far beyond its primary focus. In this regard EcoConnect meets one of the generally accepted definitions of innovation: ‘the successful exploitation of creative ideas within an organisation’. EcoConnect is built on the creative capabilities of a multi-disciplinary team of scientists and ICT specialists and has adopted a partnership-based approach to working with potential endusers. In this way scientists and end-users are exposed to each other’s ideas – leading to both more informed research directions, and, among end-users, a better understanding of the strategic (as well as tactical) potential of new science results. It is also noted that while an ‘innovation system’ is only as good as the quality and quantity of research and technology that underpins it, funding that alone is not sufficient. Investors must be willing to sustain the effort (from basic research to end-user engagement – including iterative innovations arising therefrom) over a long period – especially if the innovation is likely to be disruptive to existing technologies/capabilities.

A Descriptive Analysis ofBlood Products Utilized by a Forward Deployed Surgical Team inSyria.

Traumatically injured combat casualties urgently need both blood and surgery. Forward Surgical Teams (FSTs) or Role 2 (R2) surgical teams were created to minimize the time-space distance from point of injury to damage control surgery. Our goal is to describe the use of blood products from a Split FST deployed to Green Village from July 2018 to April 2019. A retrospective review of a collection of patients treated by a single R2 was conducted following institutional regulatory approval. De-identified data were input into the study database and were then retrospectively reviewed for patients who presented to and received treatment at the R2 facility. Of the 470 total patients treated in 10 months: 226 (48%) received blood products and 132 (28%) underwent operative procedures. The patients were 98% male; 74% Host Nationals (HN), 24% North American Treaty Organization members. Mechanism of injury was 75% explosive and 98% penetrating. Documented Injury Severity Scores (n = 214) were: <9 (n = 57/27%), 9 to 15 (n = 34/16%), 16 to 25 (n = 64/30%), and >25 (n = 59/28%). In total 1,052 units of blood products were administered: whole blood (n = 495), red blood cells (n = 200), fresh frozen plasma (n = 109), and liquid plasma (n = 248). HN whole blood used was 337/495 (68%) units for 78 patients; walking blood bank was mobilized six times for HN patients. Of the patients seen, >99% who arrived with a pulse survived to be discharged to a higher level of care. This analysis describes blood usage associated with one high volume forward deployed operative team and demonstrates the vital importance of the R2 split FST to provide coalition forces with surgical care in proximity to the point of injury. Over time, the supply chain has improved with more component therapy available at R2s; however, the need for walking blood bank and innovative solutions to care for all casualties must be part of small team capabilities. Liquid plasma use should be expanded as soon as it is feasible.