scholarly journals The Complexity of Leading in Sport: Examining the Role of Domain Expertise in Assessing Leader Credibility and Prototypicality

2014 ◽  
Vol 28 (1) ◽  
pp. 81-93 ◽  
Author(s):  
Steve Swanson ◽  
Aubrey Kent
Keyword(s):  
Domain Knowledge ◽  
Sport Management ◽  
Implicit Theories ◽  
Global Perspective ◽  
Sport Organizations ◽  
Knowledge Domains ◽  
Domain Specific ◽  
Confirmatory Factor ◽  
Domain Expertise ◽  
Management Students

The way in which leaders in sport organizations are evaluated by their employees is dependent upon perceived levels of credibility and implicit theories of leadership. Leader knowledge and expertise play significant roles in this process, yet both have been treated as comprehensive constructs irrespective of specific knowledge domains. Drawing from the education literature, this research looks to disentangle the global perspective used by the credibility and prototypicality literatures. It is proposed that employees in sport organizations expect managers to possess domain-specific expertise which is separate from the functional area requirement. Two different samples including professional sport employees and sport management students were used, with confirmatory factor and conjoint analyses used to test the research hypotheses. The results support the notion that distinct psychological processes exist within sport organizations, and that sport domain knowledge and expertise are distinct constructs which play important roles in the perception of leaders within this context.

Interns in Professional Sport: An Investigation of Gender Parity on the Job

2009 ◽  
Vol 3 (1) ◽  
pp. 92-109 ◽  
Author(s):  
Jacquelyn Cuneen ◽  
M. Joy Sidwell
Keyword(s):  
Sport Management ◽  
Work Conditions ◽  
Professional Sport ◽  
Sport Organizations ◽  
Male And Female ◽  
Sport Industry ◽  
Job Benefits ◽  
One Year ◽  
Management Students ◽  
Big Four

Internships permit sport management students to link classroom learning to the professional environment. Since internships provide students with opportunities to learn on-the-job and test their skills in the marketplace, the experiences should be uniformly beneficial to all students regardless of gender. This study was conducted to describe internship work conditions (i.e., opportunities to perform in essential marketplace functions) for male and female sport management interns assigned to ‘Big Four’ professional sport organizations. Participants were 74 sport industry professionals who supervised a total of 103 interns over a one-year period. A X2 Test of Independence found that male and female interns working in professional sport had comparable opportunities to perform and learn on the job. Differences in opportunity, hiring practices, and on-the-job benefits emerged primarily as a function of job specialization (e.g., operations, marketing, venue management), league/association, or gender of the internship supervisor rather than gender of the interns.

Creating Ethical Decision Makers: The Influence of Education on Perceptions of Sexual Harassment and Sexual Assault

2019 ◽  
Vol 13 (2) ◽  
pp. 73-82
Author(s):  
Elizabeth A. Taylor ◽  
Gareth J. Jones ◽  
Kristy McCray ◽  
Robin Hardin
Keyword(s):  
Sexual Harassment ◽  
Ethical Decision ◽  
Sport Management ◽  
Rape Myths ◽  
Decision Makers ◽  
Sport Organizations ◽  
Power Differential ◽  
Sport Industry ◽  
Management Students ◽  
The Relationship

The sport industry is ripe for issues of sexual harassment/assault due to the high value placed on masculine characteristics and the power differential between male leaders/coaches and female subordinates/athletes. This culture permeates sport organizations, as issues of sexual harassment/assault committed by athletes and coaches/administrators are commonplace and have recently been mishandled, raising questions about effective education. This study examined the relationship between education on sexual harassment/assault and the endorsement of rape myths by sport management students. Results indicate that training on sexual harassment/assault in sport management classrooms is low and is potentially ineffective at curbing rape myth acceptance, suggesting current curricula are insufficient. These findings have both theoretical and practical contributions related to how sport management departments can prepare future professionals to change the culture of sport.

scholarly journals Creating Motivational Language Learning Experiences during the “Critical Period”

2019 ◽  
Vol 11 (3) ◽  
pp. 26
Author(s):  
Junqing Jia
Keyword(s):  
Foreign Language ◽  
Language Learning ◽  
Language Proficiency ◽  
Critical Period ◽  
Domain Knowledge ◽  
Advanced Level ◽  
Domain Specific ◽  
Language Learning Motivation ◽  
Domain Expertise ◽  
High Level

Few studies have touched upon language learning motivation of advanced-level learners of Chinese, even fewer have proposed a pedagogical framework to understand and create motivational pathways. This paper aims to fill the gap by addressing a critical period of foreign language training where students are transforming from learning the foreign language to learning domain knowledge in the foreign language. Having drawn upon Confucian concepts and contextualized curricular examples, this paper proposes a framework suggesting that learners at this stage experience a less discussed psychological complexity due to their high level of language proficiency and lack of multilingual domain capacities. They are also gradually transforming into autonomous language users who expand their social milieu through demonstrating domain expertise. As such, the pedagogical implications place an emphasis on helping advanced-level Chinese learners to establish domain-specific vision and linguistic capability so that they can perform in multicultural contexts. In particular, motivational pathways during this stage should be constructed to encourage learners to constantly reflect on their recent past self and establish visions of the future one.

Measurement Invariance of Divergent Thinking Across Gender, Age, and School Forms

2009 ◽  
Vol 25 (1) ◽  
pp. 1-7 ◽  
Author(s):  
Jörg-Tobias Kuhn ◽  
Heinz Holling
Keyword(s):  
Measurement Invariance ◽  
Divergent Thinking ◽  
Factor Model ◽  
Age Groups ◽  
Thinking Skills ◽  
Specific Model ◽  
Confirmatory Factor Analyses ◽  
Domain Specific ◽  
Gender And Age ◽  
Confirmatory Factor

The present study explores the factorial structure and the degree of measurement invariance of 12 divergent thinking tests. In a large sample of German students (N = 1328), a three-factor model representing verbal, figural, and numerical divergent thinking was supported. Multigroup confirmatory factor analyses revealed that partial strong measurement invariance was tenable across gender and age groups as well as school forms. Latent mean comparisons resulted in significantly higher divergent thinking skills for females and students in schools with higher mean IQ. Older students exhibited higher latent means on the verbal and figural factor, but not on the numerical factor. These results suggest that a domain-specific model of divergent thinking may be assumed, although further research is needed to elucidate the sources that negatively affect measurement invariance.

scholarly journals Templated Text Synthesis for Expert-Guided Multi-Label Extraction from Radiology Reports

2021 ◽  
Vol 3 (2) ◽  
pp. 299-317
Author(s):  
Patrick Schrempf ◽  
Hannah Watson ◽  
Eunsoo Park ◽  
Maciej Pajak ◽  
Hamish MacKinnon ◽  
...  
Keyword(s):  
Domain Knowledge ◽  
Expert Knowledge ◽  
Medical Image Analysis ◽  
Imaging Data ◽  
Data Synthesis ◽  
Domain Specific ◽  
Radiology Reports ◽  
Training Examples ◽  
Analysis Models ◽  
Difficult Cases

Training medical image analysis models traditionally requires large amounts of expertly annotated imaging data which is time-consuming and expensive to obtain. One solution is to automatically extract scan-level labels from radiology reports. Previously, we showed that, by extending BERT with a per-label attention mechanism, we can train a single model to perform automatic extraction of many labels in parallel. However, if we rely on pure data-driven learning, the model sometimes fails to learn critical features or learns the correct answer via simplistic heuristics (e.g., that “likely” indicates positivity), and thus fails to generalise to rarer cases which have not been learned or where the heuristics break down (e.g., “likely represents prominent VR space or lacunar infarct” which indicates uncertainty over two differential diagnoses). In this work, we propose template creation for data synthesis, which enables us to inject expert knowledge about unseen entities from medical ontologies, and to teach the model rules on how to label difficult cases, by producing relevant training examples. Using this technique alongside domain-specific pre-training for our underlying BERT architecture i.e., PubMedBERT, we improve F1 micro from 0.903 to 0.939 and F1 macro from 0.512 to 0.737 on an independent test set for 33 labels in head CT reports for stroke patients. Our methodology offers a practical way to combine domain knowledge with machine learning for text classification tasks.

scholarly journals Linked(In)g Sport Management Education with the Sport Industry: A Preliminary Study

2021 ◽  
Vol 13 (4) ◽  
pp. 2275
Author(s):  
Samuel López-Carril ◽  
Miguel Villamón ◽  
María Huertas González-Serrano
Keyword(s):  
Social Media ◽  
Sport Management ◽  
Management Education ◽  
Educational Innovation ◽  
Two Dimensions ◽  
Management Tools ◽  
Sport Industry ◽  
Post Test ◽  
Management Students ◽  
The Impact

Social media are one of the most valuable management tools used by sport managers in the fulfilment of their daily tasks. However, the studies that share and analyse the impact of educational experiences that incorporate social media into sport management education for professional purposes are scarce to date. Thus, this study presents an educational innovation piloted in a sport management course where LinkedIn—the social media most associated with the professional sphere—is introduced through an experiential learning methodology, as a driver of students’ career development and as a tool to keep up to date and interact with the sport industry. To assess the learning outcomes, a new scale was developed and tested. A total of 90 Spanish undergraduate sport management students (M = 22.71; SD = 3.84) participated in the study, partaking in a pre-test and a post-test. Regarding the results linked to the testing of the scale, the statistical analysis reflects the scale’s two-dimensional nature, explaining 68.78% of the variance, presenting good psychometric properties (α = 0.95). On the other hand, significant increases in all the scale items between the two measures were obtained, with large effects size in the two dimensions (Cohen’s d ≥ 0.80). Therefore, it is concluded that LinkedIn can help to develop the professional profile of sport management students, Linked(In)g what is taught in the classroom with what the sport industry demands.

scholarly journals Cross-Fertilizing Deep Web Analysis and Ontology Enrichment

2017 ◽  
Author(s):  
Marilena Oita ◽  
Antoine Amarilli ◽  
Pierre Senellart
Keyword(s):  
Domain Knowledge ◽  
Deep Web ◽  
Web Pages ◽  
Complete Understanding ◽  
Specific Knowledge ◽  
Domain Specific ◽  
Domain Specific Knowledge ◽  
Web Crawlers ◽  
New Perspective ◽  
The Impact

Deep Web databases, whose content is presented as dynamically-generated Web pages hidden behind forms, have mostly been left unindexed by search engine crawlers. In order to automatically explore this mass of information, many current techniques assume the existence of domain knowledge, which is costly to create and maintain. In this article, we present a new perspective on form understanding and deep Web data acquisition that does not require any domain-specific knowledge. Unlike previous approaches, we do not perform the various steps in the process (e.g., form understanding, record identification, attribute labeling) independently but integrate them to achieve a more complete understanding of deep Web sources. Through information extraction techniques and using the form itself for validation, we reconcile input and output schemas in a labeled graph which is further aligned with a generic ontology. The impact of this alignment is threefold: first, the resulting semantic infrastructure associated with the form can assist Web crawlers when probing the form for content indexing; second, attributes of response pages are labeled by matching known ontology instances, and relations between attributes are uncovered; and third, we enrich the generic ontology with facts from the deep Web.

Mining Domain Terminologies Using Search Engine's Query Log

2021 ◽  
Vol 20 (6) ◽  
pp. 1-32
Author(s):  
Weijian Ni ◽  
Tong Liu ◽  
Qingtian Zeng ◽  
Nengfu Xie
Keyword(s):  
Language Processing ◽  
Heterogeneous Network ◽  
Transductive Learning ◽  
Query Log ◽  
Domain Specific ◽  
Novel Approach ◽  
Commercial Search Engine ◽  
Domain Expertise ◽  
Traditional Approaches ◽  
Domain Independent

Domain terminologies are a basic resource for various natural language processing tasks. To automatically discover terminologies for a domain of interest, most traditional approaches mostly rely on a domain-specific corpus given in advance; thus, the performance of traditional approaches can only be guaranteed when collecting a high-quality domain-specific corpus, which requires extensive human involvement and domain expertise. In this article, we propose a novel approach that is capable of automatically mining domain terminologies using search engine's query log—a type of domain-independent corpus of higher availability, coverage, and timeliness than a manually collected domain-specific corpus. In particular, we represent query log as a heterogeneous network and formulate the task of mining domain terminology as transductive learning on the heterogeneous network. In the proposed approach, the manifold structure of domain-specificity inherent in query log is captured by using a novel network embedding algorithm and further exploited to reduce the need for the manual annotation efforts for domain terminology classification. We select Agriculture and Healthcare as the target domains and experiment using a real query log from a commercial search engine. Experimental results show that the proposed approach outperforms several state-of-the-art approaches.

The REA Pattern, Knowledge Structures, and Conceptual Modeling Performance

2005 ◽  
Vol 19 (2) ◽  
pp. 57-77 ◽  
Author(s):  
Gregory J. Gerard
Keyword(s):  
Domain Knowledge ◽  
Conceptual Models ◽  
Conceptual Modeling ◽  
Knowledge Structure ◽  
Specific Pattern ◽  
Accounting Information Systems ◽  
Domain Specific ◽  
Domain Specific Knowledge ◽  
Business Setting ◽  
Structured Knowledge

Most database textbooks on conceptual modeling do not cover domainspecific patterns. The texts emphasize notation, apparently assuming that notation enables individuals to correctly model domain-specific knowledge acquired from experience. However, the domain knowledge acquired may not aid in the construction of conceptual models if it is not structured to support conceptual modeling. This study uses the Resources Events Agents (REA) pattern as an example of a domain-specific pattern that can be encoded as a knowledge structure for conceptual modeling of accounting information systems (AIS), and tests its effects on the accuracy of conceptual modeling in a familiar business setting. Fifty-three undergraduate and forty-six graduate students completed recall tasks designed to measure REA knowledge structure. The accuracy of participants' conceptual models was positively related to REA knowledge structure. Results suggest it is insufficient to know only conceptual modeling notation because structured knowledge of domain-specific patterns reduces design errors.

Sign in / Sign up

Export Citation Format

Share Document