A Dynamic Ticket Pricing Approach for Soccer Games

Şahin, Mehmet; Erol, Rızvan

doi:10.3390/axioms6040031

Cited by 9 publications

(7 citation statements)

References 37 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…A estratégia do uso do preço dinâmico dos ingressos, o qual se pauta pela maximização da receita alterando os preços com base na disposição dos clientes em pagar, vem sendo defendida por estudos recentes (Lee & Kang, 2011;Şahin & Erol, 2017), pela capacidade de direcionar frutos positivos aos clubes no que concerne a receita. Rascher, McEvoy, Nagel, e Brown (2007) apontaram que na realidade do beisebol americano os times que fazem parte da MLB poderiam ter aumentado a receita de ingressos em cerca de 3% se utilizassem preços de ingressos variáveis.…”

Section: Discussionunclassified

Uma análise sobre antecedentes das intenções comportamentais de torcedores de futebol em Pernambuco

Silva¹,

Miranda²,

Filho³

et al. 2022

PODIUM

View full text Add to dashboard Cite

Objetivo do estudo: analisar a influência do ser sócio, das variáveis sociodemográficas e a percepção do preço dos ingressos nas intenções comportamentais de torcedores dos clubes de Futebol de Pernambuco. Metodologia/Abordagem: estudo de abordagem quantitativa, do tipo observacional. A amostra foi composta por 196 torcedores dos clubes de Pernambuco. O instrumento utilizado é composto pelas dimensões: ser sócio, perfil sociodemográfico, percepção do preço dos ingressos e intenções comportamentais. As variáveis foram mensuradas a partir de medidas categóricas, ordinais e escalares. Os itens que correspondem às intenções comportamentais foram medidos através da escala multi-itens do tipo Likert com sete alternativas. Os dados foram tabulados e analisados no software SPSS 24.0, utilizou-se análises descritivas e uma regressão linear múltipla para avaliar a significância estatística dos antecedentes. Originalidade/Relevância: A análise das intenções comportamentais de seus torcedores é primordial para os clubes. É perceptível um declínio na presença de torcedores no estádio e envolvimento com o clube, logo, torna-se válido um levantamento sobre a influência do ser sócio, perfil sociodemográfico dos espectadores e preço dos ingressos nas intenções comportamentais, somada a escassez de investigações acerca da temática no Brasil. Principais resultados: O modelo global foi válido, influenciando as intenções comportamentais em 20,8%. Acerca das dimensões, o perfil sociodemográfico não exerceu nenhuma influência estatisticamente significativa, entretanto o ser sócio e a percepção do preço dos ingressos apresentaram significância estatística (p < 0,05). Contribuições teóricas/metodológicas: Comprovou-se que o ser sócio e a percepção do preço dos ingressos constituem-se em dimensões que afetam diretamente as intenções comportamentais.Palavras-chave: Marketing. Comportamento de consumo. Ingressos. Sócio torcedor.

show abstract

Section: Discussionunclassified

Uma análise sobre antecedentes das intenções comportamentais de torcedores de futebol em Pernambuco

Silva¹,

Miranda²,

Filho³

et al. 2022

PODIUM

View full text Add to dashboard Cite

show abstract

“…Fuzzy logic is a functional approach to understanding, evaluating and manipulating many uncertain data. It is accepted that nothing can be expressed definitively in fuzzy logic (S ¸ahin and Erol, 2017;Zimmermann, 2011). The primary rationale for using fuzzy logic is to quantify verbal expressions.…”

Section: Fuzzy Logicmentioning

confidence: 99%

Problem areas of determining the sample size in qualitative research: a model proposal

Tutar,

Şahin,

Sarkhanov

2023

QRJ

Self Cite

View full text Add to dashboard Cite

PurposeThe lack of a definite standard for determining the sample size in qualitative research leaves the research process to the initiative of the researcher, and this situation overshadows the scientificity of the research. The primary purpose of this research is to propose a model by questioning the problem of determining the sample size, which is one of the essential issues in qualitative research. The fuzzy logic model is proposed to determine the sample size in qualitative research.Design/methodology/approachConsidering the structure of the problem in the present study, the proposed fuzzy logic model will benefit and contribute to the literature and practical applications. In this context, ten variables, namely scope of research, data quality, participant genuineness, duration of the interview, number of interviews, homogeneity, information strength, drilling ability, triangulation and research design, are used as inputs. A total of 20 different scenarios were created to demonstrate the applicability of the model proposed in the research and how the model works.FindingsThe authors reflected the results of each scenario in the table and showed the values for the sample size in qualitative studies in Table 4. The research results show that the proposed model's results are of a quality that will support the literature. The research findings show that it is possible to develop a model using the laws of fuzzy logic to determine the sample size in qualitative research.Originality/valueThe model developed in this research can contribute to the literature, and in any case, it can be argued that determining the sample volume is a much more effective and functional model than leaving it to the initiative of the researcher.

show abstract

“…ticket price higher/ lower than equilibrium price), then the ticket prices would decrease/increase and get closer to the equilibrium price in the secondary ticket market. In some instances, a ticket price in the secondary ticket market goes lower than the per game season ticket price, irritating some season ticket holders (Drea and Nahlik, 2017;S ¸ahin and Erol, 2017).…”

Section: Characteristics Of (Sponsored) Secondary Ticket Marketmentioning

confidence: 99%

Determinants of ticket prices in the secondary ticket market and the effects of COVID-19: empirical evidence from NBA ticket price data analytics

Hyun¹,

Soebbing

2023

SBM

View full text Add to dashboard Cite

PurposeScholars note there are limited studies analyzing ticket price determinants. Using the common seat approach, the authors sought to advance this line of research by analyzing determinants of National Basketball Association (NBA) ticket prices in the secondary ticket market. The authors’ research seeks to ask two questions. The first is how ticket prices in the secondary market are associated with common determinants of consumer demand. The second question is what impact the COVID-19 pandemic has on ticket prices in the secondary market.Design/methodology/approachTicket prices of NBA regular season games in the 2021–2022 season were collected a week before the game day from Ticketmaster.com. A regression model was estimated with a group of independent variables: income, population, consumer preference, quality of viewing, quality of contest and pandemic (the number of COVID-19 cases).FindingsResults indicate income, population, consumer preferences (e.g. team quality and star players) and quality of viewing (e.g. arena age and weekend) impact prices. Further, the number of COVID-19 cases did reduce the ticket price.Originality/valueThe present study illuminates the theoretical significance of analyzing ticket prices as a proxy of demand in professional sport, while providing practical implications regarding the potential opportunity to increase revenue.

show abstract

A Dynamic Ticket Pricing Approach for Soccer Games

Cited by 9 publications

References 37 publications

Uma análise sobre antecedentes das intenções comportamentais de torcedores de futebol em Pernambuco

Uma análise sobre antecedentes das intenções comportamentais de torcedores de futebol em Pernambuco

Problem areas of determining the sample size in qualitative research: a model proposal

Determinants of ticket prices in the secondary ticket market and the effects of COVID-19: empirical evidence from NBA ticket price data analytics

Contact Info

Product

Resources

About