1,721,002 research outputs found
Attendance demand in a developing football market: the case of the Peruvian First Division
No full textA tale of two audiences: spectators, television viewers and outcome uncertainty in Spanish football
Full text linkThis paper tests for the impact of match outcome uncertainty on two types of audience for Spanish football, fans at the stadium and television viewers. We find that fans inside the stadium prefer games that are less and not more likely to finish with a close score. This is contrary to much theoretical literature in sports economics which argues that fans prefer close contests and imposes this assumption in formal modelling. We also find that television viewers prefer close contests to more predictable contests. The different preferences of fans inside the stadium and television viewers need to be reconciled by the league when considering the effectiveness of policies to redistribute resources amongst teams in the league. We use our empirical model to consider how this tension might be resolved so as to maximise total audience and total league revenues
Armchair fans: Modelling audience size for televised football matches
No full textStatistical modelling of the size of the audience for televised football matches has utility for a number of stakeholders. For example, in the short-term it can inform the choice of broadcasters as to which matches to show and decisions of firms regarding how much to bid for advertising slots during the game or for displays on electronic pitchside boards at the stadium which will appear frequently on the television picture. For clubs and leagues at the elite end of the sport, for whom sale of television rights is their principal revenue source, it offers a means of understanding which match characteristics will draw the largest audience and this in turn should inform long-term decisions on how to structure their competitions. The paper argues that previous modelling in this area has typically depended on an inappropriate measure of audience size and unsatisfactory metrics to capture important characteristics of a match, such as the quality of the talent on show and the significance of the match for the championship or relegation. In contrast, the present paper draws on sport analytics to derive its measures of player talent and match significance. This proves to make a material difference to findings from modelling audience size for 790 English Premier League matches between 2013 and 2019. For example, it identifies elevated interest for matches potentially significant for end-of-season outcomes. This finding has implications when organisers consider the optimal structure of the competition and revenue sharing arrangements between member clubs of the league
UNSCRIPTED DRAMA: SOCCER AUDIENCE RESPONSE TO SUSPENSE, SURPRISE AND SHOCK
Full text linkBy modeling minute‐by‐minute television audience figures from English Premier League soccer matches, with close to 50,000 minute‐observations, we show that demand is partly driven by suspense and surprise. We also identify an additional relevant factor of appeal to audiences, namely shock, which refers to the difference between pre‐match and current game outcome probabilities. Suspense, surprise, and shock remain significant in the presence of a traditional measure of outcome uncertainty. (JEL C23, D12, L82, L83, Z20
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
Full text linkWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
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