Hasil untuk "Recreation leadership. Administration of recreation services"

Meryem Yilmaz Soylu, Adrian Gallard, Jeonghyun Lee et al.

Letters of recommendation (LORs) provide valuable insights into candidates' capabilities and experiences beyond standardized test scores. However, reviewing these text-heavy materials is time-consuming and labor-intensive. To address this challenge and support the admission committee in providing feedback for students' professional growth, our study introduces LORI: LOR Insights, a novel AI-based detection tool for assessing leadership skills in LORs submitted by online master's program applicants. By employing natural language processing and leveraging large language models using RoBERTa and LLAMA, we seek to identify leadership attributes such as teamwork, communication, and innovation. Our latest RoBERTa model achieves a weighted F1 score of 91.6%, a precision of 92.4%, and a recall of 91.6%, showing a strong level of consistency in our test data. With the growing importance of leadership skills in the STEM sector, integrating LORI into the graduate admissions process is crucial for accurately assessing applicants' leadership capabilities. This approach not only streamlines the admissions process but also automates and ensures a more comprehensive evaluation of candidates' capabilities.

Liangyang Ouyang, Yuki Sakai, Ryosuke Furuta et al.

This paper addresses the task of assessing PICU team's leadership skills by developing an automated analysis framework based on egocentric vision. We identify key behavioral cues, including fixation object, eye contact, and conversation patterns, as essential indicators of leadership assessment. In order to capture these multimodal signals, we employ Aria Glasses to record egocentric video, audio, gaze, and head movement data. We collect one-hour videos of four simulated sessions involving doctors with different roles and levels. To automate data processing, we propose a method leveraging REMoDNaV, SAM, YOLO, and ChatGPT for fixation object detection, eye contact detection, and conversation classification. In the experiments, significant correlations are observed between leadership skills and behavioral metrics, i.e., the output of our proposed methods, such as fixation time, transition patterns, and direct orders in speech. These results indicate that our proposed data collection and analysis framework can effectively solve skill assessment for training PICU teams.

Stefanie Schwaar, Franziska Diez, Michael Trebing et al.

In German public administration, there are 45 different offices to which incoming messages need to be distributed. Since these messages are often unstructured, the system has to be based at least partly on message content. For public service no data are given so far and no pretrained model is available. The data we used are conducted by Governikus KG and are of highly different length. To handle those data with standard methods different approaches are known, like normalization or segmentation. However, text classification is highly dependent on the data structure, a study for public administration data is missing at the moment. We conducted such a study analyzing different techniques of classification based on segments, normalization and feature selection. Thereby, we used different methods, this means neural nets, random forest, logistic regression, SVM classifier and SVAE. The comparison shows for the given public service data a classification accuracy of above 80\% can be reached based on cross validation. We further show that normalization is preferable, while the difference to the segmentation approach depends mainly on the choice of algorithm.

Ramón Flores, Elisenda Molina, Juan Tejada

This paper develops a novel methodological framework for assessing leadership potential and productivity within organisational structure represented by directed graphs. In this setting, individuals are modeled as nodes and asymmetric supervisory or reporting relationships as directed edges. Leveraging the theory of transferable utility cooperative games, we introduce the Average Forest (AF) measure, a marginalist leadership measure grounded in the enumeration of maximal spanning forests, where teams are hierarchically structured as arborescences. The AF measure captures each agent`s expected contribution across all feasible team configurations under the assumption of superadditivity of the underlying game. We further define a measure of organisational productivity as the expected aggregate value derived from these configurations. The paper investigates key theoretical properties of the AF measure -- such as linearity, component feasibility, and monotonicity -- and analyzes its sensitivity to structural modifications in the underlying digraph. To address computational challenges in large networks, a Monte Carlo simulation algorithm is proposed for practical estimation. This framework enables the identification of structurally optimal leaders and enhances understanding of how network design impacts collective performance.

Simona Fioretto, Elio Masciari, Enea Vincenzo Napolitano

Efficient and effective service delivery in Public Administration (PA) relies on the development and utilization of key performance indicators (KPIs) for evaluating and measuring performance. This paper presents an innovative framework for KPI construction within performance evaluation systems, leveraging Random Forest algorithms and variable importance analysis. The proposed approach identifies key variables that significantly influence PA performance, offering valuable insights into the critical factors driving organizational success. By integrating variable importance analysis with expert consultation, relevant KPIs can be systematically developed, ensuring that improvement strategies address performance-critical areas. The framework incorporates continuous monitoring mechanisms and adaptive phases to refine KPIs in response to evolving administrative needs. This study aims to enhance PA performance through the application of machine learning techniques, fostering a more agile and results-driven approach to public administration.

Silin Du, Xiaowei Zhang

Large language models (LLMs) have exhibited memorable strategic behaviors in social deductive games. However, the significance of opinion leadership exhibited by LLM-based agents has been largely overlooked, which is crucial for practical applications in multi-agent and human-AI interaction settings. Opinion leaders are individuals who have a noticeable impact on the beliefs and behaviors of others within a social group. In this work, we employ the Werewolf game as a simulation platform to assess the opinion leadership of LLMs. The game includes the role of the Sheriff, tasked with summarizing arguments and recommending decision options, and therefore serves as a credible proxy for an opinion leader. We develop a framework integrating the Sheriff role and devise two novel metrics based on the critical characteristics of opinion leaders. The first metric measures the reliability of the opinion leader, and the second assesses the influence of the opinion leader on other players' decisions. We conduct extensive experiments to evaluate LLMs of different scales. In addition, we collect a Werewolf question-answering dataset (WWQA) to assess and enhance LLM's grasp of the game rules, and we also incorporate human participants for further analysis. The results suggest that the Werewolf game is a suitable test bed to evaluate the opinion leadership of LLMs, and few LLMs possess the capacity for opinion leadership.

Igor Ivkić, Tobias Buhmann, Burkhard List et al.

The landscape of traditional industrial manufacturing is undergoing a pivotal shift from resource-intensive production and long supply chains to more sustainable and regionally focused economies. In this evolving scenario, the move towards local, on-demand manufacturing is emerging as a remedy to the environmentally damaging practice of mass-producing products in distant countries and then transporting them over long distances to customers. This paradigm shift significantly empowers customers, giving them greater control over the manufacturing process by enabling on-demand production and favouring local production sites over traditional mass production and extensive shipping practices. In this position paper we propose a cloud-native Manufacturing as a Service (MaaS) platform that integrates advances in three-dimensional (3D) printing technology into a responsive and eco-conscious manufacturing ecosystem. In this context, we propose a high-level architectural design for a cloud-based MaaS platform that connects web shops of local stores with small and medium-sized enterprises (SMEs) operating 3D printers. Furthermore, we outline an experimental design, including a cost-benefit analysis, to empirically evaluate the operational effectiveness and economic feasibility in a cloud-based additive manufacturing ecosystem. The proposed cloud-based MaaS platform enables on-demand additive manufacturing and opens up a profit sharing opportunity between different stakeholders.

Adewumi Temidire Olumoyegun, BolanleAina Olumoyegun

Social Capital is fast taking a defining role as a necessity for successful and sustainable agricultural enterprise.  The network of farmers in developing countries like Nigeria has been seen to determine greatly their resilience, ability to escape poverty, take risks and overcome vulnerabilities. Investigating the benefits derived and constraints encountered by poultry farmers in membership of social groups was the main thrust of this study.  A two-stage sampling procedure was employed to select 120 poultry farmers in Ondo state. Questionnaire containing open and closed ended questions were used to elicit information from respondents. Data collected was analysed using frequency counts, percentages and mean. Results reveal that majority of sampled poultry farmers were between 40-59 years of age (53.3%), male (62.5%), married (73.3%), with some level of formal education (85.8%), poultry farming experience of 1-10 years (71.7%) and farm size of between 1-1000 birds (71.7%). Livelihood security (mean=1.19), accessing health services (mean=1.08), recreation (mean=1.07) and consultancy services (mean=1.03) were the top benefits of social group membership reported among respondents. Major constraints to social group membership identified by the respondents were low financial capacity (mean=1.13), poor group coordination (mean=1.22), lack of education (mean=1.08), leadership issues (mean= 0.98) and religious differences (mean=0.95). Institutional support to strengthen social group membership because of its advantages; by providing financial incentives and leadership capacity building for small scale poultry farmers is canvassed.

William Lopes de Oliveira, Leonardo Civale

Este artículo analiza el proceso de implementación de un proyecto turístico en la comuna italiana de Santo Stefano di Sessanio, entre 1999 y 2014. Tras un contexto de estancamiento económico y declive demográfico emergidos a finales del siglo XIX, la localidad ha venido experimentando desde principios del siglo XX un conjunto de intervenciones turísticas que buscan evocar la historicidad local a partir de la instrumentalización de los aspectos morfológicos de su paisaje cultural. Eso ha culminado en el restauro de un conjunto de edificios con el fin de transformarles en una red de albergues difusos. El artículo está armado tras  un recorrido teórico que incluye análisis de materiales brindados por instituciones locales y grupos privados que han intervenido en dicha comuna. De este modo, el trabajo evidencia la importancia que el turismo ha tenido en el municipio de Santo Stefano di Sessanio post el contexto de abandono territorial.

Adrian Lucian Kanovic, Viorel Mionel, Oana Mionel

In the early 1990s, the Balkans faced some of the most violent military confrontations since the end of the Second World War. As a result of the dissolution of Yugoslavia, the borders have been redesigned on the map of Europe and new states have emerged. Some of these countries have succeeded in becoming members of Euro-Atlantic structures. While Montenegro and North Macedonia became NATO members, and Slovenia and Croatia have integrated into both NATO and the European Union, Serbia and Bosnia and Herzegovina continue to be affected by frozen conflicts and interethnic tensions. The research aims to analyze the evolution of tourism in Bosnia and Herzegovina and Serbia, focusing on the tourist potential of the capitals of these states, Sarajevo and Belgrade, respectively. The novelty of the research is to identify and analyze the potential of dark tourism in Sarajevo and Belgrade. The methodology used implied field research in both countries, in order to identify the tourism potential - with emphasis on dark tourism heritage on both countries. Also, the touristic offer in the two cities was analyzed, focusing on the dark tourism spectrum proposed by Philip R. Stone in 2006.

Muhammad Nasihul Waffak, Pamuji Sukoco, FX. Sugiyanto

Purpose: The author tried to examine the water and sand exercise models to maximize athletes’ training ability as exercise media. Material and Methods: This research is experimental research with a “Two Groups Pretest-Posttest” design that includes a pre-test before the subjects are given treatment and a post-test after the treatment. The research populations were twenty male athletes from a basketball club in Yogyakarta, selected using a random sampling technique. All samples were subjected to a pre-test to determine the treatment group, ranked by their pre-test scores, then matched with the A-B-B-A pattern in two groups with ten athletes each. The sampling technique used in this dividing step was ordinal pairing. This research was conducted 18 times in treatment. The instrument used was an agility test using the Lane agility test. The movements for each number are as follows, (1) Sprint, stunt step, (2) Right slide (running with a guard position to the right side), (3) Run backwards, (4) Left slide, (5) Right slide, (6) Sprint, stunt step, pivot, (7) Right slide, (8) Sprint. Results: The research used normality, homogeneity, and hypothesis testing. To test the hypothesis, the researchers used the two types of t-tests, namely paired sample test and the independent sample test. The T-test is a statistical analysis technique that can be used to determine whether there is a significant difference between two sample means or not. The results revealed that the t count was 2,335 with a p significance value of 0.031. Because the t-count was 2.335 and the significance value was <0.05, these results indicated a significant difference. Conclusions: There was a significant difference in the effect of the exercise methods (water exercise and sand exercise) on agility. The sand exercise training method was higher (better) than the water exercise training method on the agility of basketball athletes.

W. Hendricks

As an educator and administrator in the recreation, parks, and tourism discipline for nearly 30 years, I have had the good fortune of observing first-hand many of the trends, triumphs, and struggles that we as a collective community have confronted. In the late 1970s, I chose recreation administration with a specialization in parks and natural resources as my undergraduate major literally a few months before the passage of Proposition 13 in California that ended two decades of what many considered to be the heyday of public parks and recreation (Talmage et al., 2017). Suddenly, the job prospects plummeted for those of us pursuing a recreation-related degree. Nevertheless, many recreation educators around the country adjusted and re-envisioned their academic programs to prosper for the coming decades. During the ensuing decade of the 1980s, commercial recreation burst upon the scene largely spurred by the seminal work of Bullaro and Edgington’s (1986) Commercial Leisure Services: Managing for Profit, Service, and Personal Satisfaction. Shortly thereafter, others followed, filling the void in this emerging area of our discipline as evidenced by the first edition of Introduction to Commercial and Entrepreneurial Recreation (Crossley & Jamieson, 1988). As we entered the 1990s, the study of tourism expanded significantly, and many tourism scholars found a home in recreation-related academic departments. To coincide with this shift, Crossley and his colleagues revised the title and focus of the fourth through seventh editions (Crossley et al., 2018) of their book Introduction to Commercial Recreation and Tourism: An Entrepreneurial Approach. The 1990s also saw a shift away from leisure as a descriptor of academic department names including some of the leading doctoral degree granting programs in the United States such as Texas A&M University, the University of Utah, and the University of Illinois Urbana-Champaign. Fast forward to the 21st century and event planning, hospitality, and sport management have been added to the mix for many recreation-related academic programs in North America and beyond. Again, revitalization, renewal, and embracing change propelled many academic programs to growth, innovation, and a new wave of opportunity. How is this evolution over the past 1=2 century relevant to Duerden’s (2022) thesis that it is time to contemplate a change from a leisure context to experience focus? Change in our discipline has perhaps been the only constant. Time and time again, we have observed some traditional recreation-related academic programs decline in

Anna Bakalinska

The article examines the prerequisites for the emergence of an information economy, which on the basis of systematization allows to schematically reflect the transformation of the structure of social production. Social production is represented by five sectors of the economy: mining and agriculture; industry and construction; production and personal services; trade, finances, insurance and real estate operations; health care, education, research, recreation industry, public administration. As each of these sectors saturate, a new type of economy is formed – information economy. The analysis of the views of economists on the interpretation of the term "information economy" has been carried out, as a result of which it is revealed that the information economy is a type of economy in which in all spheres of activity of economic entities the ability to effectively generate, process and use information based on knowledge prevails. The main characteristics of the information resource, which include limitlessness and inexhaustibility in use; accessibility, are determined. Its cost does not depend on the volume of aggregate demand, and the process of forming the price of information differs from determining the price of any other product or service. A study of the level of development of the information economy in Ukraine has been carried out on the basis of two indicator systems: 1) the main statistical indicators calculated by the State Statistics Service of Ukraine; 2) a set of development indicators that are reflected in international indexes and ratings every year. The domestic system of indicators for the development of the information economy is represented by the number of enterprises that have access to the Internet; the number of companies with a website; the number of enterprises that use social networks; the number of enterprises that buy cloud computing services; the number of enterprises that conduct training in the field of ICT; the number of e-commerce enterprises; e-commerce sales volume. The assessment of the level of development of the information economy in Ukraine is carried out according to the following global indicators: network readiness index, global communication index, global digital competitiveness rating, global cyber security index, national cyber security index, global innovation index, global knowledge index. As a result of the analysis, the potential for the development of the information economy in Ukraine is revealed.

H. Shevchenko, M. Petrushenko, B. Burkynskyi et al.

This paper aims to develop approaches to accounting for recreational assets in the input-output model based on the analysis of the dynamics of their structure, as well as the structure of intermediate consumption of recreational services, on the example of intersectoral balance of Ukraine during 2012-2018. Based on forecasting the dynamics of indicators such as gross value added, consumption of fixed capital, net operated surplus, etc., optimistic and pessimistic scenarios for the development of recreation (arts, sports, entertainment and leisure) in Ukraine are identified, taking into account the factors of natural asset and the coronavirus pandemic. In particular, the net export indicator is expected to increase due to the restriction of international tourist arrivals and the formation of the domestic market of recreational services on the basis of inclusive sustainable development. Herewith, recreational and tourist enterprises have the following guidelines: security, quality, comfort, effectiveness of asset use. The expediency of state support is seen in the redistribution of the share of accounted natural assets between agriculture, forestry, fisheries and recreation, as well as in changing the structure of assets and intermediate consumption by reducing the share of public administration and increasing the share of other sectors, especially healthcare. The proposed organizational and economic measures complement the Strategy for the development of tourism and resorts for the period up to 2026 in Ukraine.

Alan Muñoz Bascuñan

Este trabajo se enfoca en las comunidades indígenas y los actores turísticos de la región de Atacama, norte de Chile, y busca proponer un modelo para desarrollar una oferta turística en el Camino del Inca declarado patrimonio de la humanidad. El estudio es parte de un proyecto regional que buscaba construir una oferta innovadora y con un sello característico del territorio, y arrojó como problemática que las comunidades indígenas presentes en la zona no tenían vinculos con el sector turístico, sin embargo son las que frecuentan y resguardan los sitos arqueológicos y patrimoniales ligadas al camino del inca. Los resultados muestran que la articulación entre los actores turísticos y las comunidades indígenas permite la incorporación de nuevos enfoques y modelos para la construcción de oferta, como en este caso basada en el cooperativismo y la economía solidaridad, aspectos cotidianos en estas comunidades que habitan los territorios del desierto.

Lucia Molina Pérez, Ana B. Casado Díaz, Ricardo Sellers-Rubio

The websites of destination marketing organizations are very frequently the first contact between the tourist and the destination. This paper analyses the search engine optimization of these websites and proposes an index of visibility for them at national level. The analysis is carried out in three differentiated geographical frameworks: the province of Alicante, the Valencian Community and the coastal destinations of the rest of the Spanish regions. The results show significant differences in the desktop version of the search engine optimization of the websites examined.

Chainarong Amornbunchornvej, Tanya Berger-Wolf

Leadership plays a key role in social animals, including humans, decision-making and coalescence in coordinated activities such as hunting, migration, sport, diplomatic negotiation etc. In these coordinated activities, leadership is a process that organizes interactions among members to make a group achieve collective goals. Understanding initiation of coordinated activities allows scientists to gain more insight into social species behaviors. However, by using only time series of activities data, inferring leadership as manifested by the initiation of coordinated activities faces many challenging issues. First, coordinated activities are dynamic and are changing over time. Second, several different coordinated activities might occur simultaneously among subgroups. Third, there is no fundamental concept to describe these activities computationally. In this paper, we formalize Faction Initiator Inference Problem and propose a leadership inference framework as a solution of this problem. The framework makes no assumption about the characteristics of a leader or the parameters of the coordination process. The framework performs better than our non-trivial baseline in both simulated and biological datasets (schools of fish). Moreover, we demonstrate the application of our framework as a tool to study group merging and splitting dynamics on another biological dataset of trajectories of wild baboons. In addition, our problem formalization and framework enable opportunities for scientists to analyze coordinated activities and generate scientific hypotheses about collective behaviors that can be tested statistically and in the field.

Sylvia Herrera Díaz, Elena Monge Amores, Sergio Lasso Barreto et al.

Este proyecto comprende el estudio de los visitantes nacionales y extranjeros de la zona alta del Parque Nacional Cotacachi Cayapas (PNCC) correspondiente a la Provincia de Imbabura, en Ecuador, y tiene como principal objetivo caracterizar su perfil. En esta investigación se utilizó el método descriptivo y exploratorio. Se revisó en fuentes secundarias la literatura científica existente sobre motivaciones de viaje. La investigación de campo, a través de la observación directa, permitió una mejor apreciación visual del lugar y constatar determinados hechos (afluencia de turistas, género, conservación de la laguna, entre otros). Se aplicó una encuesta (2015), con preguntas de tipo general y relacionadas con el perfil demográfico, socio-económico, psicográfico y otros aspectos, a 383 turistas nacionales y extranjeros que visitaron el parque, especialmente la Laguna de Cuicocha.

I.Ya Hrubar, Yu.O. Hrubar, N.M. Grabyk

<p><strong>The Purpose</strong> was to improve the treatment outcomes of patients who undergo ACL reconstruction under arthroscopic control through a comprehensive approach to their rehabilitation program.<strong> </strong></p><p><strong>Materials and methods. </strong>We have implemented a system of comprehensive rehabilitation of patients after the ACL reconstruction under arthroscopic control, which relied on the phase of the clinical course of the postoperative period.</p><p><strong>Results. </strong>The study involved 40 patients who underwent anterior cruciate ligament reconstruction under arthroscopic control. Experimental group (20 people) who applied a comprehensive approach in rehabilitation after ACL reconstruction, taking into account the phase of the clinical course of the postoperative period. The second group was the control group (20 patients) in which rehabilitation was carried out under the existing program. The use of cryotherapy with adjustable pulse compression in patients of the experimental group from the first day allowed to reduce twice the use of non-narcotic analgesics. Analyzing the dynamics of flexion in the knee joint, it was found that patients of the experimental group on the 25th day performed flexion by 88.46% of the appropriate maximum. Whereas in the control group just - 69.23%. Positive dynamics were noted in the indicators of myotonometry of the quadriceps muscle and measurement of the perimeter of the knee joint.</p><strong>Conclusions.</strong> The program of physical rehabilitation of patients after the anterior cruciate ligament reconstruction under arthroscopic control, which was built taking into account the phase of the clinical course of the postoperative period, has been developed and offered positive results in clinical practice. The effectiveness of the program was shown by the improvement of such indicators as: decrease in intensity of pain syndrome in the early postoperative period, increase in the range of motion in the knee joint, faster restoration of the tone of the quadriceps muscle of the thighs of patients of the experimental group as opposed to the control group

Sebastian R. Bader, Maria Maleshkova

The disruptive potential of the upcoming digital transformations for the industrial manufacturing domain have led to several reference frameworks and numerous standardization approaches. On the other hand, the Semantic Web community has made significant contributions in the field, for instance on data and service description, integration of heterogeneous sources and devices, and AI techniques in distributed systems. These two streams of work are, however, mostly unrelated and only briefly regard each others requirements, practices and terminology. We contribute to closing this gap by providing the Semantic Asset Administration Shell, an RDF-based representation of the Industrie 4.0 Component. We provide an ontology for the latest data model specification, created a RML mapping, supply resources to validate the RDF entities and introduce basic reasoning on the Asset Administration Shell data model. Furthermore, we discuss the different assumptions and presentation patterns, and analyze the implications of a semantic representation on the original data. We evaluate the thereby created overheads, and conclude that the semantic lifting is manageable, also for restricted or embedded devices, and therefore meets the needs of Industrie 4.0 scenarios.