NBA Primary Market Ticket Consumers: Ex Ante Expectations and Consumer Market Origination

2016 ◽  
Vol 30 (5) ◽  
pp. 538-552 ◽  
Author(s):  
Brian M. Mills ◽  
Steven Salaga ◽  
Scott Tainsky
Keyword(s):  
Market Segmentation ◽  
Consumer Market ◽  
Data Set ◽  
Ticket Sales ◽  
Home Team ◽  
Ticket Pricing ◽  
Consumer Demographics ◽  
Differential Behavior ◽  
Dynamic Ticket Pricing ◽  
Uncertainty Of Outcome

We add to the recent ticket market literature by using a unique, disaggregated, and proprietary data set of primary market ticket sales transactions from a National Basketball Association team that includes previously unavailable information on date of purchase, customer location, and other consumer demographics. We find that local and out-of-market fans differ in their total purchase amounts, with out-of-market fans spending more than local consumers, on average, and differential spending effects based on the home team win probability. In particular, this differential behavior has important implications for Rottenberg’s uncertainty of outcome hypothesis. We find evidence that interest in visiting team quality dominates interest in perceived contest uncertainty, fitting the reference-dependent preference model in the context of low local team quality. Further, these findings also have important implications related to market segmentation and dynamic ticket pricing in professional sport.

Explaining Game-to-Game Ticket Sales for Major League Baseball Games Over Time

2011 ◽  
Vol 13 (5) ◽  
pp. 536-553 ◽  
Author(s):  
Elise M. Beckman ◽  
Wenqiang Cai ◽  
Rebecca M. Esrock ◽  
Robert J. Lemke
Keyword(s):  
Major League Baseball ◽  
Ticket Sales ◽  
Home Team ◽  
Major League ◽  
Potential Factors ◽  
Using Data ◽  
Uncertainty Of Outcome ◽  
Over Time

Using data from more than 10,000 games from 1985 through 2009, the authors estimate the effect various factors have on attendance at Major League Baseball (MLB) games. As previously found in the literature, interleague and interleague rivalry contests are associated with higher attendances, but this relationship has been weakening over time. Contrary to some of the literature, the authors find that the likelihood the home team will win the contest is inconsistently estimated over time, lending little support for the uncertainty of outcome hypothesis. Generally the effect on ticket sales from many potential factors has generally been weakening over time.

Intuitionistic fuzzy two-factor variance analysis of movie ticket sales

2021 ◽  
pp. 1-11
Author(s):  
Velichka Traneva ◽  
Stoyan Tranev
Keyword(s):  
Comparative Analysis ◽  
Real Data ◽  
Intuitionistic Fuzzy Sets ◽  
Real Numbers ◽  
Data Set ◽  
Important Method ◽  
Ticket Sales ◽  
Intuitionistic Fuzzy ◽  
The One ◽  
First Time

Analysis of variance (ANOVA) is an important method in data analysis, which was developed by Fisher. There are situations when there is impreciseness in data In order to analyze such data, the aim of this paper is to introduce for the first time an intuitionistic fuzzy two-factor ANOVA (2-D IFANOVA) without replication as an extension of the classical ANOVA and the one-way IFANOVA for a case where the data are intuitionistic fuzzy rather than real numbers. The proposed approach employs the apparatus of intuitionistic fuzzy sets (IFSs) and index matrices (IMs). The paper also analyzes a unique set of data on daily ticket sales for a year in a multiplex of Cinema City Bulgaria, part of Cineworld PLC Group, applying the two-factor ANOVA and the proposed 2-D IFANOVA to study the influence of “ season ” and “ ticket price ” factors. A comparative analysis of the results, obtained after the application of ANOVA and 2-D IFANOVA over the real data set, is also presented.

Uncertainty of Outcome and Attendance: Evidence from Russian Football

2021 ◽  
Vol 16 (2) ◽  
pp. 33-43
Author(s):  
Kseniya Baydina ◽  
◽  
Petr Parshakov ◽  
Marina Zavertiaeva ◽  
◽  
...  
Keyword(s):  
Behavioral Pattern ◽  
Reduced Form ◽  
Demand Model ◽  
Home Team ◽  
Premier League ◽  
Uncertainty Of Outcome

In this study, we estimate an attendance demand model in a reduced form, with uncertainty as one of the determinants of demand, to test the uncertainty of outcome hypothesis (UOH). Data from the Russian Football Premier League (RFPL) are used. These data fit our requirements for two reasons. First, there are few sellout matches, so demand for tickets in the RFPL is not restricted by stadium capacity. Secondly, there have been no articles devoted to the study of outcome uncertainty in the RFPL. The results indicate that the UOH does not explain the behavioral pattern of attendees in the RFPL. The dependence between attendance and uncertainty is U-shaped. We observe some evidence that attendee’s utility in the RFPL depends more on seeing a home team win.

Segment: Applicability of an Existing Segmentation Technique to Transportation Demand Management Campaigns in the United States

2019 ◽  
Vol 2673 (9) ◽  
pp. 227-239
Author(s):  
Amy B. Lester ◽  
Philip L. Winters ◽  
Minh Pham
Keyword(s):  
United States ◽  
Market Segmentation ◽  
Travel Behavior ◽  
Group Membership ◽  
Demand Management ◽  
The United States ◽  
Consumer Market ◽  
Transportation Demand Management ◽  
Transportation Demand ◽  
Segmentation Technique

This research was modeled after a consumer market-segmentation technique (SEGMENT) successfully used in Europe, for its usefulness to transportation demand management (TDM) campaigns in the United States. The SEGMENT project examined how consumer market-segmentation techniques can influence travel behavior choices in favor of more energy-sustainable modes of travel. Data were collected from 1,900 individuals in Florida, Oregon, and Virginia. The data contain approximately 200 fields with information about respondents’ demographics and attitudes toward different modes of transportation, such as car, train, bike, and walking. Clustering analysis was applied to divide the sample into segments so that members of the same group share similar travel attitudes. Next, a classification model was built to predict group membership. Dividing the sample into seven segments, three non-driver and four driver, was found to be the most stable and distinctive segmentation. Seventeen questions, referred to as “golden questions,” were found to separate segments most significantly and predict group membership with 84% accuracy. Significant differences in age and household distribution between segments were observed. Mean responses to each question were used to create an attitudinal profile for each group. Major contributions are the validation of an existing segmentation technique for applicability in the United States, which could improve the effectiveness of TDM campaigns on changing travel behavior. Golden questions can be added to existing surveys to gather information about the proportion of individuals that belong to segments in an area. Additionally, limited resources can be better allocated to target those segments most susceptible to behavior change.

scholarly journals A Dynamic Ticket Pricing Approach for Soccer Games

Axioms ◽  
2017 ◽  
Vol 6 (4) ◽  
pp. 31 ◽  
Author(s):  
Mehmet Şahin ◽  
Rızvan Erol
Keyword(s):  
Ticket Pricing ◽  
Dynamic Ticket Pricing

scholarly journals A theoretical approach to segmenting children’s walking behaviour

2015 ◽  
Vol 16 (2) ◽  
pp. 159-171 ◽  
Author(s):  
Lisa Schuster ◽  
Krzysztof Kubacki ◽  
Sharyn Rundle-Thiele
Keyword(s):  
Market Segmentation ◽  
Online Survey ◽  
Physical Activity Behaviour ◽  
Demographic Variables ◽  
Primary School Children ◽  
Health Concern ◽  
Long Distance ◽  
Data Set ◽  
Content Type ◽  
Activity Behaviour

Purpose – This paper aims to extend research applying the principle of market segmentation to gain insight into changing the physical activity behaviour of children, particularly their walk to/from school behaviour. It further examined the utility of employing theory, specifically the theory of planned behaviour (TPB), for this purpose. Childhood obesity is a leading public health concern globally. Design/methodology/approach – An online survey was conducted with 512 caregivers of primary school children. Caregivers were targeted given their control over children’s walk to/from school behaviour. Two-step cluster analysis, based on 14 geographic, demographic, psychographic and behavioural variables, was used to investigate groupings within the data set. Findings – The analysis revealed three distinct segments of caregivers, each with unique beliefs about their children walking to/from school: short-distance frequent walkers, middle-distance sporadic walkers and long-distance non-walkers. Four variables were found to be highly important in distinguishing these segments: distance to school, current walk to/from school behaviour, subjective norms and intentions to increase their child’s walk to school behaviour. Originality/value – The paper demonstrates the usefulness of behavioural, geographic and psychographic variables, as measured by the TPB, in distinguishing segments, offering an important contrast to prior segmentation studies emphasising demographic variables. This result provides empirical evidence of the value of using the four segmentation bases, extending beyond a demographic focus, and the importance of incorporating behavioural theory in market segmentation. In so doing, this research provides key insights into changing children’s walking behaviour.

scholarly journals Salted and preserved duck eggs: a consumer market segmentation analysis

2015 ◽  
Vol 94 (8) ◽  
pp. 1942-1956 ◽  
Author(s):  
Jennifer Arthur ◽  
Kelleen Wiseman ◽  
K.M. Cheng
Keyword(s):  
Market Segmentation ◽  
Consumer Market ◽  
Segmentation Analysis

The Impact of the Internet on the Public Library: Current Status and Signs for the Future

2013 ◽  
Author(s):  
Corinne Jörgensen ◽  
Geogre D'Elia ◽  
Joseph Woelfel ◽  
Eleanor Jo Rodger
Keyword(s):  
Market Segmentation ◽  
Time Use ◽  
Telephone Survey ◽  
Public Library ◽  
Current Status ◽  
The Internet ◽  
Consumer Market ◽  
The Public ◽  
Library Use ◽  
The Impact

This paper presents the results of a research project to evaluate the impacts of the Internet on public library use. A national telephone survey was conducted using a market segmentation model for use of information services and resources at the public library and on the Internet. This research provides baseline data describing the current consumer market for library and Internet services. The data suggest that at this time use of the...

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