Hasil untuk "Recreation leadership. Administration of recreation services"

Ümit Şengel, Zeki Coşkun, Sena Uz

Cultural tourism emerges from various sources rooted in social life. Novels that explore social elements such as history, identity, and culture serve as important written sources of information, stimulating tourists’ interest in destinations. Although concepts like history and identity are abstract, they can become significant attractions when highlighted by authors’ descriptive abilities within the narrative, influencing readers and arousing their curiosity. In this context, the study aims to identify the roles of novels in cultural tourism by examining the themes of history and identity in postmodern novels. The study used the autoethnographic method and analysed Orhan Pamuk’s “The White Castle,” which compares East and West through cultural values such as history and identity, as it was considered suitable for the study’s purpose. The results indicate that the novel presents cultural differences through elements such as identity, history, religion, city, language, art, and gastronomy. The novel vividly conveys these cultural differences through the interplay of plot and description.

Maouahib Zerouati, Asma Boukhaou

Social media platforms have fundamentally changed the way tourists discover, evaluate and select destinations by amplifying electronic word of mouth. This study examines the role of information intensity, a critical dimension of electronic word of mouth, in influencing the successive decision stages of awareness, interest, evaluation, trial, and destination choice. Partial Least Squares Structural Equation Modeling was used to collect survey data from 100 active social media users from Algeria who had recently planned or selected a travel destination. The results show that information intensity has a significant effect on awareness and directly influences destination choice, with intermediate constructs such as interest, evaluation and trial playing an important mediating role. These results underline the importance of high quality, engaging content in increasing awareness and acceptance of destinations.

Mariana Água , Nuno Antonio , Marco P. Carrasco et al.

In the age of social networks, user-generated content has become vital for organizations in tourism and hospitality. Traditional sentiment analysis methods often struggle to process large volumes of data and capture implicit sentiments. This study examines the potential of Aspect-Based Sentiment Analysis (ABSA) using Large Language Models (LLMs) to enhance sentiment analysis. By employing GPT-4o via ChatGPT, we benchmark three approaches: a fuzzy logic-based method, manual human analysis, and a new ChatGPT-based analysis. We analyze a dataset of 500 all-inclusive hotel reviews, comparing these methods to assess ChatGPT's effectiveness in identifying nuanced language and handling subjectivity. The findings reveal a high similarity between ChatGPT and human analysis, showcasing ChatGPT’s ability to interpret complex sentiments and automate sentiment classification tasks. This study highlights the potential of LLMs in transforming customer feedback analysis, providing deeper insights, and improving responsiveness in the hospitality industry. These results contribute to academia by presenting a framework for using LLMs in ABSA and guiding future applications and development.

Hannah Kloetzer, Molly Harry, Elizabeth Taylor

Sport retirement can reveal a host of difficulties for college athletes including minimal career preparation, mental health struggles, and identity foreclosure. While college athletes almost always note the challenges of leaving their sport behind, these challenges can be mitigated through transition programming. However, what types of programming are more useful, and for whom, is understudied. Through a mixed method survey, this study explored differences in access and impact of retirement from sport programming based on athletes’ (n = 707) demographic differences (e.g., race, division), through the lens of Goodman and colleagues’ (2006) three phases of transition. Findings revealed that Black athletes and those from working class backgrounds found programs to be more impactful than other demographic groups, supporting the argument for personalized retirement support. Additionally, Division II athletes not only had the greatest access to retirement programming, but also found programming to have more impact than other divisions. However, athletes noted that more programs are needed for every division. 

Scott Hirko, Maria Tsyruleva, Jodi Upton

This study investigates the relationship between women’s and men's team coaches’ salaries and severance pay at 104 public NCAA Division I-FBS institutions. Using data from the Knight-Newhouse College Athletics Data project from 2014 to 2021, the research reveals that the salaries of men's teams’ coaches grew significantly more than those of women's teams’ coaches, especially among the most competitive schools in FBS (Power conferences). At Power conference schools, the increase in the severance pay for men’s teams’ coaches was 5.3 times larger than the growth in women’s teams’ coaching salaries. The study confirms that the higher the level of competition, there is a growing disproportion of compensation in favor of men’s teams’ coaches over women’s teams’ coaches. FBS institutions’ chase for prestige means paying coaches of men’s teams increasingly more than they pay to the coaches of women’s teams, despite espoused values of gender equity, the intent of Title IX, and economic conditions.

Mylene G. Dinglasan, Agnes Macalipay, Marie Ann Benette Clavio et al.

Community extension is a university's fourth purpose, and it is addressed in how extension services are conducted in partner communities. The institution must offer learning and support opportunities to community members, particularly to those who lack access to education or employment prospects. Partner communities should benefit from the knowledge and abilities of instructors and non-teaching personnel as well as the teachings that students gain in the classroom. The purpose of this study was to evaluate the community's needs and create a program for community extension services that would benefit implementers as well as the adopted Barangay. Data required for the creation of the extension service was gathered using a mixed approach. A focus group discussion was held for the qualitative component and a survey questionnaire was used for the quantitative component. The selection of participants was done using convenience sampling. The College of Arts and Sciences will base the design of its outreach and community extension initiatives on the perceived needs discovered during the survey's administration. Faculty and students from the College of Arts and Sciences facilitated the focus group discussions. The research revealed the necessity of the following categories: recreation, disaster and preparedness, livelihood, values formation, education, environment, health, and sanitation. Thus, the study led to the development of the Community Extension Services Program.

Udaya Chandrika Kandasamy

Artificial Intelligence is currently and rapidly changing the way organizations and businesses operate. Ethical leadership has become significantly important since organizations and businesses across various sectors are evolving with AI. Organizations and businesses may be facing several challenges and potential opportunities when using AI. Ethical leadership plays a central role in guiding organizations in facing those challenges and maximizing on those opportunities. This article explores the essence of ethical leadership in the age of AI, starting with a simplified introduction of ethical leadership and AI, then dives into an understanding of ethical leadership, its characteristics and importance, the ethical challenges AI causes including bias in AI algorithms. The opportunities for ethical leadership in the age of AI answers the question: What actionable strategies can leaders employ to address the challenges and leverage opportunities? and describes the benefits for organizations through these opportunities. A proposed framework for ethical leadership is presented in this article, incorporating the core components: fairness, transparency, sustainability etc. Through the importance of interdisciplinary collaboration, case studies of ethical leadership in AI, and recommendations, this article emphasizes that ethical leadership in the age of AI is morally essential and strategically advantageous.

Zerui Wang, Yan Liu

The opacity of AI models necessitates both validation and evaluation before their integration into services. To investigate these models, explainable AI (XAI) employs methods that elucidate the relationship between input features and output predictions. The operations of XAI extend beyond the execution of a single algorithm, involving a series of activities that include preprocessing data, adjusting XAI to align with model parameters, invoking the model to generate predictions, and summarizing the XAI results. Adversarial attacks are well-known threats that aim to mislead AI models. The assessment complexity, especially for XAI, increases when open-source AI models are subject to adversarial attacks, due to various combinations. To automate the numerous entities and tasks involved in XAI-based assessments, we propose a cloud-based service framework that encapsulates computing components as microservices and organizes assessment tasks into pipelines. The current XAI tools are not inherently service-oriented. This framework also integrates open XAI tool libraries as part of the pipeline composition. We demonstrate the application of XAI services for assessing five quality attributes of AI models: (1) computational cost, (2) performance, (3) robustness, (4) explanation deviation, and (5) explanation resilience across computer vision and tabular cases. The service framework generates aggregated analysis that showcases the quality attributes for more than a hundred combination scenarios.

Ángela Jasmín Gómez Hincapié, Claudia Patricia Cardona Triana, Robinson Andrés Medina Quijano et al.

Las investigaciones demuestran que la calidad del servicio en las organizaciones conduce al mejoramiento de procesos y los niveles de satisfacción de clientes internos y externos. Los Entes encargados del deporte y la recreación en el departamento de Risaralda no son ajenos a esta condición. Sin embargo, los estudios sobre cómo se prestan los servicios y cuál es la percepción sobre la calidad de estos, han sido escasos. Este artículo tiene como objetivo describir la calidad del servicio que prestan los Entes administrativos de Deporte y Recreación del departamento de Risaralda desde la perspectiva de usuarios y colaboradores. Se utilizó el instrumento SERVQUALing, con Alfa de Cronbach de 0,939 para cliente externo y 0,939 para cliente interno. Se ocuparon 2 variables respectivamente: variable uno cliente externo y variable dos cliente interno, ambas con una escala tipo Likert de 1 a 4 (1 Nada, 2 Poco, 3 Algo y 4 Muy satisfecho). La muestra consta de 2542 usuarios y 263 colaboradores. Se usa el software Jamovi 1.6.23 para el procesamiento de los datos, se realizó análisis estadístico multivariado evaluando los factores y validando la correlación de los datos mediante regresión múltiple. Los resultados evidencian percepción del servicio adecuada para los usuarios, el aspecto más relevante es la atención basada en la empatía (resultado emergente), indicando la importancia del desarrollo humano en las organizaciones, respecto a los colaboradores se identifica conformismo con la percepción de las instituciones y destacan la importancia de capacitaciones para mejorar la prestación de los servicios. Según datos empíricos, los autores identifican oportunidades de mejoramiento para fortalecer la calidad y mejorar la percepción de los servicios que prestan los entes del deporte y la recreación en el departamento de Risaralda. Palabras Clave: Calidad del servicio, usuarios, colaboradores, Entes deportivos, administración, deporte y recreación. Abstract. Research shows that the quality of service in organizations leads to the improvement of processes and the levels of satisfaction of internal and external customers. The entities in charge of sports and recreation in the department of Risaralda are no strangers to this condition. However, studies on how services are provided and what is the perception of their quality have been scarce. This article aims to describe the quality of the service provided by the Administrative Entities of Sport and Recreation of the department of Risaralda from the perspective of users and collaborators. The SERVQUALing instrument was use, with Cronbach's Alpha of 0.939 for external clients and 0.939 for internal clients. Two variables were addressed (13 dimensions with 40 questions and 6 dimensions with 34 questions). The sample consists of 2,542 users and 263 collaborators. The software used for the data processing was Jamovi 1.6.23, a multivariate statistical analysis evaluated the factors and validated the correlation of the data by multiple regression. The results show the perception of the adequate service for the users, the most relevant aspect is the attention, indicating the importance of human development in the organizations, with respect to the collaborators, conformism is identified with the perception of the institutions, and they highlight the importance of training to improve the provision of services. Based on empirical data, the authors identify opportunities for improvement to strengthen the quality and improve the perception of the services provided by sports and recreation entities in the department of Risaralda. Key words: Quality of service, users, collaborators, sports entities, administration, sports and recreation.

Megan R Holmes, J. King, Emily K. Miller et al.

Exposure to adversity and traumatic events affects well-being across important domains of functioning, including mental, physical, social, emotional, spiritual, and neurobiological. Situated as a focal point throughout neighborhoods, recreation centers are a prime opportunity to cultivate spaces of safety and healing. However, current models of trauma-informed care largely do not map neatly onto the recreation organizational structure and functioning. This paper describes the efforts over the past five years to transform the City of Cleveland, Ohio’s 22 recreation centers into trauma-informed Neighborhood Resource and Recreation Centers (NRRCs)––places where children, youth, and adults can readily acquire the support and services they need in an environment in which trauma-informed care principles are fully embedded in the fabric of the organization’s culture. Phase 1 included transitioning the recreation centers to NRRCs, hiring of trained social workers and counselors to work within the recreation centers, and training all recreation staff about trauma. Phase 2 included development of NRRC trauma-informed standards, development of the Trauma-Informed Progress Tool to track change over time, development of Trauma-Informed Leadership Competencies for Center Managers, and ongoing training for the social workers and counselors. We discuss ideas for future work and lessons learned from each phase.

Marina Zanfardini, Mara Alejandra Jalil, Andrea Gutauskas

El presente artículo explora, desde la perspectiva de género, cómo las dinámicas territoriales virtualizadas se desarrollan en el mercado del trabajo de la actividad turística, tomando como unidad de análisis a las/los  profesionales del sector que se desempeñan en la Norpatagonia Argentina. La adopción de las herramientas digitales constituye un reto para las organizaciones turísticas lo que podría afectar, a nivel individual, el desarrollo profesional de las mujeres, tanto a sus posibilidades de ingreso como de permanencia en sus empleos. La aproximación al estudio de este tema se realiza a través del concepto de “Doble Brecha de Género” ya que, no sólo pueden existir inequidades respecto a los niveles jerárquicos que podrían ocupar las mujeres en las organizaciones, sino que también por sus habilidades digitales. Basado en una investigación exploratoria, los resultados obtenidos son alentadores para las mujeres profesionales turísticas de la Norpatagonia, en cuanto a su posición jerárquica dentro de este tipo de organizaciones. Sin embargo, para poder sostener estos puestos deben contar con mayores niveles formativos. Los hallazgos ofrecen un insumo para el desarrollo de políticas de inserción de las mujeres en el mercado del trabajo del sector turístico.

Pengwei Yang, Amani Abusafia, Abdallah Lakhdari et al.

We propose a novel Energy Loss Prediction(ELP) framework that estimates the energy loss in sharing crowdsourced energy services. Crowdsourcing wireless energy services is a novel and convenient solution to enable the ubiquitous charging of nearby IoT devices. Therefore, capturing the wireless energy sharing loss is essential for the successful deployment of efficient energy service composition techniques. We propose Easeformer, a novel attention-based algorithm to predict the battery levels of IoT devices in a crowdsourced energy sharing environment. The predicted battery levels are used to estimate the energy loss. A set of experiments were conducted to demonstrate the feasibility and effectiveness of the proposed framework. We conducted extensive experiments on real wireless energy datasets to demonstrate that our framework significantly outperforms existing methods.

Yue Su, Congmou Zhu, Lin Lin et al.

Improving the accuracy of cultural ecosystem services (CESs) value assessment and paying more attention to the preferences and trade-offs of stakeholders in the administration of CESs are of vital importance for achieving resilient ecosystem management. Combining methodologies from sociology (Q method) and economics (choice experiment), an assessment framework of CESs is introduced to examine stakeholders’ preferences and willingness to pay to participate in CESs in protected areas so as to explore how the value of CESs in protected areas can be optimized. The results show that the selection of CESs by stakeholders reflects certain synergies and trade-offs. Visitors can be classified as preferring humanistic–natural recreation, aesthetic–sense of place, or environmental education according to the factor ranking of the Q method. Visitors have a higher willingness to pay for humanistic heritage and a lower willingness to pay for sense of place experience, which can be measured at $6.55 per visit and $0.96 per visit, respectively. This indicates that the local customs and characteristics should be further explored and promoted through traditional festival celebrations and farming activities in further development of protected areas, apart from protecting local cultural heritages such as Huizhou ancient villages and halls. Furthermore, it is also necessary to actively explore the synergistic development of CESs, promote social participation, raise stakeholders’ awareness of available services, manage visitors and stakeholders from a demand perspective, and promote the realization of the value of ecological products in protected areas.

Teresa L Penbrooke, Michael Edwards, J. Bocarro et al.

Within the United States parks and recreation agencies (P&R) manage public facilities, spaces, lands, and recreation programs. Public health (PH) evidence has increasingly pointed to local public P&R agencies as critical for promoting preventive health. Programs and strategies are available, but most P&R agencies have limited resources and lack local knowledge on which to base actions. However, the research base is growing. The global research question has shifted from asking IF P&R agencies can positively affect PH factors, to HOW they can best do so with limited resources.This research adapted a systems theory approach to how local public P&R agencies are addressing health factors. Methods included a literature review along with iterative exploration through a three-stage Delphi panel study with 17 P&R agency Expert Panelists in the U.S and Canada. Panelists were identified through a waterfall selection process. Each had at least three years of senior administration experience with interest in addressing PH factors.The study explored which preventive factors appear to be most modifiable by P&R. Results indicated increased physical activity, improved nutrition, enhanced safety or perception of safety, increased social and parental engagement, improved transportation and access to locations (especially nature), and cessation or reduced overconsumption of tobacco and alcohol. However, the priority of factors varies by community, and the continuing challenge is determining the priority of the factors for agencies and their partners to address. Community-specific data are not typically readily available to P&R agencies. Programs, strategies, internal methods, policies, and documents utilized by agencies were collected. Thirty-one related national initiatives (programs) were identified and ranked by the panelists.Key common strategies for P&R were identified. Results indicated a need to focus strategies on leadership and adequate funding to create a strong organizational culture of systematic assessment for addressing PH through allocation of P&R staff and financial resources. Systems thinking analysis and strategies can improve outcomes for cultural ethics of inclusion and equity, equitable access to assets and programs, collaboration with other partners, utilization of crime prevention and environmental design strategies, increased health promotions and education, and centralized tracking and evaluation of feasible measures.Implications for research include needs for additional validation and dissemination of research, evidence-based tools, and proven methods. There continues to be a strong need to help address gaps in knowledge transfer between research and practice realms. Management implications suggest methods for practice to enhance systems-thinking approaches for better preventive health outcomes through P&R in communities.

Gurel Cetin , Tugba Pala

Transformative tourism experiences result in long term changes on attitudes and behavior. Although research on transformative tourism has flourished in recent years, there is still a limited number of studies that investigate the travellers’ experiences to examine the impact of travel on one’s attitudes and behaviors. This exploratory study seeks to identify factors affecting transformative travel experiences to emerge. A typology of sustained travel transformations is also offered based on result of a qualitative case study conducted on Turkish travelers. As a result of thematic content analysis of in-depth interviews with 30 travelers, main themes affecting travel transformations emerged as tripograhic, personal and destination based determinants, whereas the types of transformations were classified under behavioral, attitudinal and personality changes. If tourist transformations could be understood better, this might result in better promotion of travel as a leisure activity not just at the individual level but at the policy level. Destinations, tour operators and other hospitality organizations would position their product in a potentially more transformative way if they know the causes and outcomes of travel related transformations.

Marta-Christina Suciu, Marco Savastano, Gheorghe-Alexandru Stativă et al.

Educational tourism is a new branch of tourism, which has experienced a significant increase in recent times, due to the important benefits it brings to the local communities. Universities and other educational specialized institutions may highly contribute, support and encourage local development through educational tourism. Students who benefit from studying abroad can be considered as symbolic educational tourists, and their stay is considered to have a high potential to generate benefits. The host university may facilitate the development of better relationships between tourists and local communities in order to contribute to the development of the local economy in a sustainable and resilient way. Education tourism has to be taken into account by all educational institutions due to the different learning opportunities that might be better exploited. This paper focuses on some indicators considered to be relevant for educational tourism.

Jim Watkins, Kelsey Slater, Leslie Chang

This article investigates whether an association existed between the clustering of NCAA Division I Football Bowl Subdivision (FBS) student-athletes and the reporting lines of athletic academic support departments at their institutions during the 2017-18 academic year. Academic reform groups and university faculty members have argued that student-athletes cluster into a major at a higher rate when athletic academic support departments report to athletic department officials instead of university administrators not employed by athletics. The authors contacted athletic academic support directors at NCAA Division I FBS institutions to determine whether their departments reported to an administrator employed by or outside of the athletic department. Then, the authors used annual football media guides provided by athletic departments to ascertain the amount of student-athletes that were enrolled in each academic major. Finally, the authors used an ANOVA to calculate whether an association existed between an athletic academic support department’s reporting lines and the rate that football student-athletes clustered into one or more majors. The results indicated that the association between the rate that football student-athletes clustered into one or more majors and the reporting lines used by athletic academic support departments at their institutions was insignificant.

Songlei Wang, Yifeng Zheng, Xiaohua Jia

Graphs are widely used to model the complex relationships among entities. As a powerful tool for graph analytics, graph neural networks (GNNs) have recently gained wide attention due to its end-to-end processing capabilities. With the proliferation of cloud computing, it is increasingly popular to deploy the services of complex and resource-intensive model training and inference in the cloud due to its prominent benefits. However, GNN training and inference services, if deployed in the cloud, will raise critical privacy concerns about the information-rich and proprietary graph data (and the resulting model). While there has been some work on secure neural network training and inference, they all focus on convolutional neural networks handling images and text rather than complex graph data with rich structural information. In this paper, we design, implement, and evaluate SecGNN, the first system supporting privacy-preserving GNN training and inference services in the cloud. SecGNN is built from a synergy of insights on lightweight cryptography and machine learning techniques. We deeply examine the procedure of GNN training and inference, and devise a series of corresponding secure customized protocols to support the holistic computation. Extensive experiments demonstrate that SecGNN achieves comparable plaintext training and inference accuracy, with promising performance.

Balsam Alkouz, Athman Bouguettaya, Abdallah Lakhdari

We propose a novel framework for the recommendation of swarm-based drone delivery services based on the consumers preferences. We propose a density-based pruning approach that uses the concept of partnerships with charging station providers to reduce the search space of swarm-based drone service delivery providers. A weighted service composition algorithm is proposed that considers the providers capabilities and consumers' preferences in selecting the best next service. We propose a voting-based recommendation algorithm to select the best providers. We conduct a set of experiments to evaluate the efficiency of the framework in terms of consumer satisfaction, run-time, and search space reduction cost.

F. Béland, P. Ouellette, H. Roussel et al.

The aim of this study was to assess the measurement invariance of the Therapeutic Recreation Job Responsibility Scale (TR-JRS). It measures four dimensions of recreational practitioners’ duties with 27 items: 1) administration, 2) therapy, 3) face-to-face leadership and 4) professional development. Measurement invariance assesses the ability of a single instrument, the TR-JRS, to measure duties among recreational practitioners working in different environments, members of separate professional associations, and to promote different aspects of their work. The sample comprised 417 members of the Canadian Therapeutic Recreation Association and the F´ederation qu´eb´ecoise du loisir en institution. The initial factorial measurement analysis showed metric invariance as the model of choice, though its overall fit was outside the usual acceptable criteria. A factor analysis with a target rotation resulted in a short scale of 14 items with an appropriate Root Mean Square Error of Approximation and Comparative Fit Index. It included the same four dimensions as the 27-item version. A measurement invariance analysis was also run on the short-form scale. The number of factors, position of items within factors, and factor loadings were equal in both groups. The absolute values of the Root Mean Square Error of Approximation and the Comparative Fit Index associated with the short form were over the acceptable cutoff points by a small margin. As expected, items means differed between the two groups and reliability coefficients were high. Such findings reflect this study’s exploratory nature. Hence, further studies on item development could improve fit indices in favor of a stronger invariance status for this scale, which measures an important construct in therapeutic recreation.