A Case Study in Cultural Diffusion: British Ice Hockey and American Influences in Europe

2001 ◽  
Vol 4 (1) ◽  
pp. 49-62 ◽  
Author(s):  
O. Kivinen ◽  
J. Mesikämmen ◽  
T. Metsä-Tokila
2021 ◽  
Vol 5 (1) ◽  
pp. 173-183
Author(s):  
Mark O’Sullivan ◽  
Vladislav A. Bespomoshchnov ◽  
Clifford J. Mallett

Who is the “Magic Man” (https://youtu.be/5EgNF6X2MJs?t=78)? In 2017, Pavel Datsyuk was named as one of the 100 greatest National Hockey League players in ice hockey history. His Detroit Red Wings teammate Niklas Kronwall quipped, “Pav is the Magic Man for a reason. He does things out there with the puck that no one else can do.” This statement begs the questions: When, where, and how did Pavel learn those creative skills? To gain insight into how the “Magic Man,” Pavel Datsyuk, acquired such sophisticated yet unorthodox skills, we endeavored to investigate the preprofessional years of Pavel’s development. Utilizing a case study methodology and leaning on the theoretical framework of ecological dynamics, we sought to examine the ecological niche that helped shape Pavel’s learning in development. Our case study highlights the ecological nature of the development of expertise and the nonlinear impact ecological constraints had on the development of Pavel’s expertise.


2020 ◽  
Vol 13 (2) ◽  
pp. 239-261
Author(s):  
Fabian Kautz ◽  
Michael Schaffrath ◽  
Alex C. Gang

The sport industry has long used social media as an effective instrument of communication. In the framework of the current study, a content analysis investigated how professional sport clubs in Germany use Facebook and Twitter. The study covers the entire 2015–16 season, which was illustrated via selectively choosing 2 weeks for data analysis; four clubs each from basketball, ice hockey, football, and handball were collected as a sample. All Facebook posts and Twitter tweets published by the 16 clubs during the 2 weeks, a total of 3,412 contributions (Facebook 717, Twitter 2,695), were included in the analysis. The codebook contained 57 variables, and this article presents the results on the identified topics of the published contents on the two social media platforms. On both platforms, the clubs under examination primarily issued statements regarding themselves and their sport-related activities. Twitter is predominantly used as a live medium during games, whereas Facebook allows for significantly greater reach. However, no sport-related differences were found between the two social media platforms.


2007 ◽  
Author(s):  
E. Rovio ◽  
O. Salmi ◽  
T. Kaarto ◽  
J. Kinnunen ◽  
T. Lintunen
Keyword(s):  

2021 ◽  
Vol 3 ◽  
Author(s):  
David J. Hancock

Relative age effects (when birthdate influences participation or performance) in sport potentially influence the experiences of sport participants, including athletes, parents, and coaches. Nearly all existing literature on relative age effects adopts a quantitative approach, limiting our understanding of the phenomenon. Thus, the purpose of this unique study was to explore relative age effects using an instrumental, descriptive case study approach with one elite, youth, male ice hockey team. This context was chosen given the high prevalence of relative age effects among such groups. Participants included 20 athletes, 19 parents, and two coaches from one team. Data were collected through biometric measures, semistructured interviews, and participant observations. Results were presented as five composite narratives: relatively older athletes, relatively younger athletes, parents of relatively older athletes, parents of relatively younger athletes, and coaching staff. The narratives demonstrated unique relative age experiences for each group of participants. Discussion aligns the results with the social agents model that explains relative age effects. Practical recommendations for sport participants are also provided.


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