Do Consumer Perceptions of Tanking Impact Attendance at National Basketball Association Games? A Sentiment Analysis Approach

2021 ◽  
pp. 1-12
Author(s):  
Hua Gong ◽  
Nicholas M. Watanabe ◽  
Brian P. Soebbing ◽  
Matthew T. Brown ◽  
Mark S. Nagel
Keyword(s):  
Big Data ◽  
Sentiment Analysis ◽  
Sport Management ◽  
Consumer Perceptions ◽  
National Basketball Association ◽  
Management Research ◽  
Home Team ◽  
The Many ◽  
The Impact ◽  
Game Attendance

The use of big data in sport and sport management research is increasing in popularity. Prior research generally includes one of the many characteristics of big data, such as volume or velocity. The present study presents big data in a multidimensional lens by considering the use of sentiment analysis. Specifically focusing on the phenomenon of tanking, the purposeful underperformance in sport competitions, the present study considers the impact that consumers’ sentiment regarding tanking has on game attendance in the National Basketball Association. Collecting social media posts for each National Basketball Association team, the authors create an algorithm to measure the volume and sentiment of consumer discussions related to tanking. These measures are included in a predictive model for National Basketball Association home game attendance between the 2013–2014 and 2017–2018 seasons. Our results find that the volume of discussions for the home team and sentiment toward tanking by the away team impact game attendance.

scholarly journals P075 Travel or cheers? Examining the drivers and mechanisms of home court advantage in the 2020/2021 NBA regular season

2021 ◽  
Vol 2 (Supplement_1) ◽  
pp. A45-A45
Author(s):  
J Leota ◽  
D Hoffman ◽  
L Mascaro ◽  
M Czeisler ◽  
K Nash ◽  
...  
Keyword(s):  
Random Effects ◽  
Mixed Models ◽  
Fixed Effects ◽  
Natural Experiment ◽  
National Basketball Association ◽  
Home Team ◽  
The Road ◽  
On The Road ◽  
The Impact ◽  
The Relationship

Abstract Introduction Home court advantage (HCA) in the National Basketball Association (NBA) is well-documented, yet the co-occurring drivers responsible for this advantage have proven difficult to examine in isolation. The Coronavirus disease (COVID-19) pandemic resulted in the elimination of crowds in ~50% of games during the 2020/2021 NBA season, whereas travel remained unchanged. Using this ‘natural experiment’, we investigated the impact of crowds and travel-related sleep and circadian disruption on NBA HCA. Methods 1080 games from the 2020/2021 NBA regular season were analyzed using mixed models (fixed effects: crowds, travel; random effects: team, opponent). Results In games with crowds, home teams won 58.65% of the time and outrebounded (M=2.28) and outscored (M=2.18) their opponents. In games without crowds, home teams won significantly less (50.60%, p = .01) and were outrebounded (M=-0.41, p < .001) and outscored (M=-0.13, p < .05) by their opponents. Further, the increase in home rebound margin fully mediated the relationship between crowds and home points margin (p < .001). No significant sleep or circadian effects were observed. Discussion Taken together, these results suggest that HCA in the 2020/2021 NBA season was predominately driven by the presence of crowds and their influence on the effort exerted by the home team to rebound the ball. Moreover, we speculate that the strict NBA COVID-19 policies may have mitigated the travel-related sleep and circadian effects on the road team. These findings are of considerable significance to a domain wherein marginal gains can have immense competitive, financial, and even historical consequences.

scholarly journals The Effect of the First Goal on Match Score in Football for the Home Field Advantage

2019 ◽  
Vol 7 (8) ◽  
pp. 62
Author(s):  
Tuğbay Inan ◽  
Beyza Cetin ◽  
Ozge Gungorur
Keyword(s):  
Sport Management ◽  
Football Players ◽  
Statistical Research ◽  
Chi Square ◽  
Home Team ◽  
Sports Industry ◽  
Package Program ◽  
European Football ◽  
The Impact ◽  
The Relationship

The interest in sports in the world is increasing in parallel with the developments in communication technology, . As a result of this increase, the number of researches conducted on sports industry and sport management has also showed an increase. The field of sport that attracts the most attention worldwide is football. Data analysis and statistical research are also included in football researches in this field of sports that intertwines with different fields of science such as football management, finance and sports industry. In addition to the econometric measurement methods on the related researches, the variables affecting the results of the competition and the statistical analyzes that determine the impact strength of these variables are more abundant in the literature. As a result of the competitions, the variables affecting the results of a competition attract the attention of football players, technical team, fans, media organizations and sports managers. When it comes to this study,  it was planned to statistically determine the effect of the first goal in the European football leagues on the results of the match. From 5 countries in Europe Spain, France, Germany, England and Italy in particular, data belonging to the matches of the teams in which they were the home team between 2014-2017 seasons was used. A total of 5478 matches were analyzed in which 1140 matches were from Spain,  918 from Germany, 1140 from France, 1140 from England and 1140 from Italy. The relationship between the first goal and the match result was determined by the chi-square independence test. SPSS 24.0 package program was used in the analysis. The first goal independent variable in the study was examined and it was found that there was a relationship between the first goal and the match results (p <0.05). As far as  results of the research data are concerned, it was found that there was a relationship between the first goal scored and the match results  of the 5 major European  football leagues when the teams were the home teams  during the three seasons. Accordingly, the importance of the first goal was demonstrated by this study.

scholarly journals A new model for identifying emerging technologies

2017 ◽  
Vol 7 (1) ◽  
Author(s):  
Stephanie F. Hughes
Keyword(s):  
Big Data ◽  
Emerging Technologies ◽  
Intelligence Community ◽  
Competitive Advantages ◽  
New Model ◽  
Emerging Trends ◽  
The Status ◽  
Search Speed ◽  
The Many ◽  
The Impact

Today, the complexity of so many emerging technologies requires anunderstanding of adjacent technologies often originating from multiple industries. Technology sequence analysis has been used by organizations, governments and industries to help make sense of the many variables impacting the evolution of technologies. This technique relies heavily on the input of experts who can offer perspectives on the status of current technologieswhile also highlighting the potential opportunities in the future. However, the volume and speed at which scientific research is accelerating is making it nearly impossible for even the most knowledgeable expert to stay current with research in their own industries. Today however, the use of big data search tools can help identify emerging trends around disruptive technologieswell before many of the experts have fully grasped the impact of these technologies. Despite the fear of many in the intelligence community that these tools will make their jobs obsolete, we expect that the value of the intelligence expert will increase given their unique knowledge of relevant data sources and how to connect the data in meaningful ways to derive value for the firm. We propose a new forecasting model that incorporates a combination of technologysequencing analysis and big data tools within the organization while also leveraging experts from across the open innovation spectrum. This new model, informed by current client engagements, has the potential to create significant competitive advantages for organizations as they benefit from expanded search breadth, search depth and search speed all while leveraging a range of internal and external experts to make sense of the rapidly changingtechnological landscape confronting their environment.

The Home Advantage in the National Basketball Association Conference Finals and Finals Series From 1979 to 2019: A Mediation Analysis of Offensive and Defensive Skills

2021 ◽  
pp. 1-10
Author(s):  
Jeffrey D. Graham ◽  
Bolun Zhang ◽  
Denver M.Y. Brown ◽  
John Cairney
Keyword(s):  
Mediation Analysis ◽  
Multiple Comparisons ◽  
National Basketball Association ◽  
Potential Contribution ◽  
Home Team ◽  
Mediation Analyses ◽  
Home Advantage ◽  
The Impact ◽  
The Relationship

This study examined the home advantage effect in decisive National Basketball Association Conference Finals and Finals series playoff games from 1979 to 2019 (the 3-point shot era). We also examined the potential contribution of various offensive- and defensive-based skills and whether these skills mediated the relationship between game status (decisive vs. nondecisive) and outcome (win vs. loss). Overall, we found evidence of a home court advantage with the home team winning 63% of the decisive playoff games and 66% of the nondecisive playoff games. After adjusting for multiple comparisons and regular season win percentage, the home team had significantly more defensive rebounds and steals in Game 5 when trailing 3–1 going into that game. Mediation analyses did not reveal any significant findings when examining the impact of decisive game status on performance through offensive and defensive skills, thus suggesting there are other explanations for the home advantage effect.

The Impact of Color and Animation on Sports Viewers’ Attention to Televised Sponsorship Signage

2015 ◽  
Vol 29 (2) ◽  
pp. 170-183 ◽  
Author(s):  
Christoph Breuer ◽  
Christopher Rumpf
Keyword(s):  
Laboratory Study ◽  
Sport Management ◽  
Scientific Evidence ◽  
Visual Features ◽  
Color Contrast ◽  
Management Research ◽  
Sport Sponsorship ◽  
Sport Events ◽  
The Impact

Although competition for viewers’ attention to sponsorship signage in sport telecasts has become a growing issue in sponsorship-linked marketing, sport management research has not yet investigated how to create eyecatching sponsorship signage in the cluttered visual surroundings of sport events without negatively affecting the viewers’ first objective: watching sports. This research takes into account the peculiarities of televised sport sponsorship platforms by including (1) the concurrent appearance of sport action and sponsor signage, (2) the color contrast between signage and sport surroundings, and (3) viewer confusion as a reaction to an overload of sponsorship information. Based on a laboratory study, it was found that both color and animation significantly impact sports viewers’ attention. However, animation can lead to visual confusion for television sport viewers, and may jeopardize intended sponsorship effects. These findings provide scientific evidence for the opportunities and risks of visual features in sponsorship-linked marketing.

scholarly journals The Impact of Big Data Quality on Sentiment Analysis Approaches

2019 ◽  
Vol 160 ◽  
pp. 803-810
Author(s):  
Imane El Alaoui ◽  
Youssef Gahi
Keyword(s):  
Big Data ◽  
Data Quality ◽  
Sentiment Analysis ◽  
The Impact

Betting market prices, outcome uncertainty, and hockey attendance in Russia, Sweden, and Finland

2016 ◽  
Vol 42 (9) ◽  
pp. 852-865 ◽  
Author(s):  
Rodney Paul ◽  
Colby Conetta ◽  
Jeremy Losak
Keyword(s):  
Financial Market ◽  
Market Prices ◽  
Content Type ◽  
Home Team ◽  
Betting Market ◽  
Betting Markets ◽  
The Impact ◽  
Game Attendance ◽  
Uncertainty Of Outcome

Purpose The purpose of this paper is to use financial market prices formed in betting markets as a measure of uncertainty of outcome and other factors as it relates to hockey attendance in three top European leagues, the KHL, SHL, and Liiga. This is the first study of European hockey to use betting market odds to estimate the impact of home team win probability and uncertainty of outcome on attendance. Design/methodology/approach The design of this study is a multivariate regression model with log of attendance and percentage of arena capacity as dependent variables in two separate regressions. Controlling for other factors, the role of the home team win probability and its square are explored for individual game attendance. Findings Fans of the KHL and SHL are found to prefer to see their home team win, but also exhibit strong preferences for uncertainty of outcome. Fans of Liiga prefer to see the home team win, but do not exhibit as strong a preference for uncertainty of outcome. This differs from recent findings in the sport of baseball and from previous findings for the NHL. Practical implications Having a competitive league is not only important for television ratings, but also for in-person attendance in these European hockey leagues. Importance of uncertainty of outcome varies across leagues. Originality/value The paper uses financial market prices, betting market odds, as a measure of game expectations (home team win probability) and uncertainty of outcome and applies it to a new setting for three of the top European hockey leagues. The findings illustrate that uncertainty of outcome is important for the KHL and SHL, but statistically insignificant for Liiga.

scholarly journals Sentiment Analysis through Big Data in online Retail Industry: A Conceptual Quantitative Study on linkage of Big-Data and Assortment Proactive of Online Retailers

2020 ◽  
Vol 3 (2) ◽  
pp. 16
Author(s):  
Muhammad Faisal Sultan ◽  
Mehwish Jabeen ◽  
Muhammad Adeel Mannan
Keyword(s):  
Big Data ◽  
Sentiment Analysis ◽  
Recent Trend ◽  
Retail Sector ◽  
Online Retail ◽  
Online Retailers ◽  
Data Scientist ◽  
Online Stores ◽  
Quota Sampling ◽  
The Impact

Big-Data is the recent trend in data sciences prevailing all over the globe. The tool aids significantly in optimization of knowledge and has predominant use in optimization of knowledge and productivity. However, there is lack of understanding of concept and its application in Pakistan as indicated by Gallup Pakistan (2018) and stream of data is going to be doubled in two years’ time Tankard (2012). Therefore, there is a definite need of research which optimizes understanding associated with technology and its application from the context of Pakistan. Hence considering the application of big-data in retail sector this study aims to explore the impact of sentiment analysis through relating impact of big-data with effective assortment s of online stores. Although data has been collected from IT experts associated with online retail sector via quota sampling and SMART-PLS has been incorporated for the purpose of analysis. Results of the study highlights that big-data is perceived as the major tool for the betterment of assortment in online retail stores although data scientist and their applicability might diminish the impact of the use of big-data.

scholarly journals Visualizing the Impact of Home Advantage in National Basketball Association-NBA

2021 ◽  
Vol 08 (03) ◽  
pp. 09-17
Author(s):  
Ekas Singh Abrol ◽  
Puneet Singh Lamba ◽  
Achin Jain
Keyword(s):  
National Basketball Association ◽  
Jet Lag ◽  
Cognitive Effects ◽  
Professional Basketball ◽  
Home Team ◽  
Time Zones ◽  
Home Advantage ◽  
Exploratory Data ◽  
Visualization Techniques ◽  
The Impact

In sports, home advantage describes the benefits that the home team enjoys over the away team. These benefits are manifested due to cognitive effects that the local home crowd may have over the competitors or umpires, advantages of playing in familiar situations resulting in better adaptability, specific rules favouring the home team directly or indirectly, the away teams often suffer from jet lag due to change in time zones or from the tenacity of travel, etc. In this paper, various exploratory data visualization techniques have been utilized to observe the impact of home advantage in professional basketball association league NBA- National Basketball Association. Further the factors attributing to home advantage in sports are analysed. It was observed that when the team had performed well at home games, the results reflected the same for away games; however, home advantage was still distinctively visible.

scholarly journals Big Data and Analytics in Sport Management

2021 ◽  
pp. 1-6
Author(s):  
Nicholas M. Watanabe ◽  
Stephen Shapiro ◽  
Joris Drayer
Keyword(s):  
Big Data ◽  
Sport Management ◽  
Large Data ◽  
Decision Makers ◽  
Large Data Sets ◽  
Future Research ◽  
Data Sets ◽  
Management Research ◽  
Special Issue ◽  
Sport Industry

Big data and analytics have become an essential component of organizational operations. The ability to collect and interpret significantly large data sets has provided a wealth of knowledge to guide decision makers in all facets of society. This is no different in sport management where big data has been used on and off the field to guide decision making across the industry. As big data evolves, there are concerns regarding the use of enhanced analytic techniques and their advancement of knowledge and theory. This special issue addresses these concerns by advancing our understanding of the use of big data in sport management research and how it can be used to further scholarship in the sport industry. The six articles in this special issue each play a role in advancing sport analytics theory, producing new knowledge, and developing new inquiries. The implications discussed in these articles provide a foundation for future research on this evolving area within the field of sport management.

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