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Article
Publication date: 3 March 2023

Yohan Lee, Alan Morse, Moonsup Hyun, Stephen L. Shapiro and Joris Drayer

Pricing studies have largely focused on sellers' pricing strategies and price determinants. To expand earlier work on sellers' pricing decisions, this study considers time as a…

209

Abstract

Purpose

Pricing studies have largely focused on sellers' pricing strategies and price determinants. To expand earlier work on sellers' pricing decisions, this study considers time as a major factor driving sellers' ticket prices in the secondary market. Specifically, because most secondary market transactions occur in the last moments before a game, this study considers how resellers adjust ticket prices within a few days prior to a game day including an actual game day.

Design/methodology/approach

To examine the impact of time on secondary market ticket prices for Major League Baseball (MLB), ticket prices were collected from StubHub (one of the largest secondary ticket markets) four times per game: from 3 days to 1 day prior to a game day and on the actual game day. Additionally, 10 control variables were obtained from previous research on price determinants (N = 19,155). A multiple regression model was created based on the extant literature regarding secondary market ticket prices.

Findings

Results indicate the number of days before a game negatively influenced ticket prices: resellers decreased ticket prices consistently during the last few days prior to a game's first inning. Specifically, secondary market ticket prices decreased relatively dramatically on an actual game day. Time had no significant effects on ticket prices 2 days prior to a game day. In addition to the role of time, league affiliation and the number of all-star players were identified as key price determinants in the secondary market. Moreover, changes in weather forecasts and the home team starting pitcher's ERA played significant roles in price changes.

Research limitations/implications

Despite containing a relatively high number of data observations compared with prior pricing studies, this study's findings were limited to certain teams. Additionally, as only MLB secondary market ticket pricing was considered, different outcomes and implications may apply in other major sport ticket markets (e.g. NBA, NFL, NHL and MLS) featuring distinct league structures, policies and demand.

Practical implications

This study offers practical guidance for sellers' pricing decisions. Most secondary ticket market sellers lowered their ticket prices relatively dramatically on an actual game day. Reducing ticket prices prior to a game day can lead to greater chances to avoid unsold tickets that compromise revenue management. This study's results also afford professional sport organizations and secondary ticket market consumers a clearer understanding of the factors resellers consider when setting ticket prices.

Originality/value

Although previous studies have uncovered essential elements influencing ticket prices and consumer demand in the secondary ticket market, little work has examined how time affects sellers' pricing decisions within a few days prior to a game day. Little is known about the elements that significantly influence sellers’ decisions to adjust (i.e. increase or decrease) ticket prices in the secondary market as well. This topic deserves ongoing attention, as new outcomes can supplement previous studies' findings due to changing market environments.

Details

Sport, Business and Management: An International Journal, vol. 13 no. 3
Type: Research Article
ISSN: 2042-678X

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Article
Publication date: 10 October 2023

Ali B. Mondt, Yohan Lee, Stephen L. Shapiro and Alan Morse

This study aims to examine how the partnership between StubHub and MLB affected consumers' perceptions of StubHub. The case of StubHub and MLB was selected based on their…

199

Abstract

Purpose

This study aims to examine how the partnership between StubHub and MLB affected consumers' perceptions of StubHub. The case of StubHub and MLB was selected based on their partnership history and the reputation of StubHub.

Design/methodology/approach

A Qualtrics survey panel was used to collect the survey data. Structural equation modeling was used to analyze the relationships between sponsor congruence, brand equity and purchase intention.

Findings

Sponsor congruence plays a significant role in consumers' perceived quality of StubHub. Additionally, brand equity significantly influenced purchase intention. More specifically, brand loyalty was the strongest indicator of intent to purchase tickets from StubHub. Brand loyalty and perceived quality indirectly affected the relationship between sponsor congruence and consumers' purchase intentions of StubHub.

Originality/value

Sponsor congruence between secondary ticket markets and sport leagues can provide a competitive advantage, helping create revenue generation and leverage for partnerships. Perceived quality can help facilitate this relationship and increase revenue generation.

Details

International Journal of Sports Marketing and Sponsorship, vol. 24 no. 5
Type: Research Article
ISSN: 1464-6668

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Article
Publication date: 16 December 2022

Xin Feng, Xu Wang and Ying Su

The rise of the metaverse has brought profound changes to the economic and social operation models and injected new vitality into academic research. Although a large number of…

1362

Abstract

Purpose

The rise of the metaverse has brought profound changes to the economic and social operation models and injected new vitality into academic research. Although a large number of studies have emerged, there are few quantitative analyses of development frontiers and trends.

Design/methodology/approach

From a bibliometric perspective, this paper selects 183 pieces of metaverse-related literature in the WoS core database since 2000 as the object of analysis. This paper sums up the characteristics of the literature using the methods of descriptive statistical analysis, keywords analysis, thematic evolution analysis and summarizes the core themes and the laws of metaverse development in each stage.

Findings

The digital economy vision brought by the metaverse has led to an increasing number of researchers and achievements in this field. But the depth and breadth of research are still insufficient and unevenly distributed in the region, and the cross-fertilization fields need to be expanded. From the industry's point of view, VR games represented by Second Life and My World have contributed to the popularity of the metaverse. As technology progresses, the research hotspots in the field of metaverse gradually develop from conceptual research to artificial intelligence, blockchain, NFT and other technical applications. However, academic research has not yet caught up with the industry's pace and stays more in the concept discussion and preliminary application stage.

Originality/value

A systematic overview of the current status, knowledge structure and hot issues of metaverse research is shown, which provides a thematic axis for this field, enriches and improves the quantitative analysis of its literature and provides a clear picture for researchers to continuously promote the development of this field. At the same time, it is necessary to warn that technological development is a double-edged sword. The process of metaverse development should return to rationality, respect the laws of its development and guarantee the healthy development of the metaverse by strengthening legal regulation and the ethical review of science and technology.

Details

Library Hi Tech, vol. 42 no. 1
Type: Research Article
ISSN: 0737-8831

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Article
Publication date: 25 October 2019

Sejeong Kim, Soomin Lee, Hyemin Oh, Jimyeong Ha, Jeeyeon Lee, Yukyung Choi, Yewon Lee, Yujin Kim, Yeong-Eun Seo and Yohan Yoon

Gut microbial changes are associated with diseases such as obesity and type 2 diabetes and may be influenced by diet patterns. Thus, this paper aims to investigate the effects of…

253

Abstract

Purpose

Gut microbial changes are associated with diseases such as obesity and type 2 diabetes and may be influenced by diet patterns. Thus, this paper aims to investigate the effects of alcohol, sodium chloride (NaCl) and dietary restriction on the composition of the gut microflora.

Design/methodology/approach

Five-week-old male C57BL/6N mice were orally administered by gavage with ethanol (ET; 4 g/kg), 200 µL of 6% NaCl (NC), or equivalent volumes of phosphate-buffered saline (ET-control and NC-control) every two days for 10 weeks. The mice were also orally administered by gavage with the recommended diet (RD-control; 3 g per mouse per day), or with 40% (RD-40) or 60% restricted level (RD-60). DNA samples obtained from mice ceca were sequenced using the Illumina MiSeq Sequencing system; raw data were analyzed using BIOiPLUG software.

Findings

This study shows that high ethanol and NaCl consumption, and diet restriction can change the composition of the intestinal microflora, especially Akkermansia muciniphila in ET (p = 0.0050) and NT (p = 0.0366) groups. In addition, the ratio of Bacteriodetes/Firmicutes and the diversity of microflora were generally reduced (p = 0.0487-0.4929).

Originality/value

These results raise the possibility of a relationship between diet patterns, change of intestinal microbiome and disease, which must be further evaluated.

Details

Nutrition & Food Science , vol. 50 no. 5
Type: Research Article
ISSN: 0034-6659

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Article
Publication date: 30 January 2025

Sang Ho Kim and Yohan An

This paper aims to examine the effects of economic policy uncertainty (EPU) on accounting conservatism in Korean firms. An increase in EPU could widen information asymmetry…

17

Abstract

Purpose

This paper aims to examine the effects of economic policy uncertainty (EPU) on accounting conservatism in Korean firms. An increase in EPU could widen information asymmetry between insiders and outsiders, to the detriment of a firm’s investment decisions, stock price and cost of capital. This paper hypothesizes that Korean firms are likely to decrease accounting conservatism during high EPU due to inefficient institutional structure and weak corporate governance, together with the vulnerability of the Korean economy to exogenous shocks.

Design/methodology/approach

This study measures a firm’s level of conservatism using three accrual-based models proposed by Ball and Shivakumar (2006): 1) the cash flow model (CF model), 2) the Dechow and Dichev model (DD model) and 3) the Jones model. As a robustness test, this paper uses C-score model as an alternative measure of accounting conservatism. The data set used in this study is a total of 23,109 firm-year observations during the sample period from 2000 to 2018.

Findings

The test results show that an increase in EPU adversely affects Korean firms’ accounting conservatism, and that this adverse impact is more pronounced in financially distressed and non-manufacturing firms. This study’s findings highlight the importance of institutional structure during a period of high EPU, which can create incentives for either improving or deteriorating reporting quality.

Originality/value

This study adds new evidence to extant literature on the effects of EPU on managers’ choice of accounting policies and demonstrates that managers in emerging markets may have different incentives to cope with country-specific EPU fluctuations.

Details

Pacific Accounting Review, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0114-0582

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Article
Publication date: 31 August 2020

Yohan Bernard, Véronique Collange, Aurore Ingarao and Sarra Zarrouk-Karoui

The purpose of this paper is to better understand an increasingly widespread practice consisting, of a brand, in signaling the domestic origin of its products aimed at domestic…

1322

Abstract

Purpose

The purpose of this paper is to better understand an increasingly widespread practice consisting, of a brand, in signaling the domestic origin of its products aimed at domestic consumers, that is, the “made in the domestic country” (MIDC) strategy. To this end, it is proposed to analyze the MIDC label as a cue interacting with the brand’s characteristics (brand equity and country of origin of the brand).

Design/methodology/approach

A between-subjects experiment is conducted among 293 French consumers on four different brands of pasta. The overall design is a 2 (with/without the MIDC label) × 2 (high/low brand equity) × 2 (domestic/foreign brand) mixed design.

Findings

The results show that intention to buy the product increases significantly with the presence of the MIDC label, but not so willing to pay. The positive effect on buying intention is greater when: the product has rather low brand equity, consumer ethnocentrism is high and/or consumers are strongly attached to their national identity.

Research limitations/implications

The present research extends the literature on country-of-origin effects by taking into account the role of the brand equity of the product. However, the study focused on only one low-involvement product category (pasta) and one country (France).

Practical implications

This study shows that adding an MIDC label to the product is empirically justified.

Originality/value

While moderate or high scores on “patriotic” variables reinforce the positive impact of the MIDC label, low scores reverse the trend, that is, cause rejection.

Details

European Journal of Marketing, vol. 54 no. 12
Type: Research Article
ISSN: 0309-0566

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Article
Publication date: 23 December 2020

Andrés Muñoz-Villamizar, Carlos Yohan Rafavy and Justin Casey

This research is inspired by a real case study from a pump rental business company across the US. The company was looking to increase the utilization of its rental assets while…

642

Abstract

Purpose

This research is inspired by a real case study from a pump rental business company across the US. The company was looking to increase the utilization of its rental assets while, at the same time, keeping the cost of fleet mobilization as efficient as possible. However, decisions for asset movement between branches were largely arranged between individual branch managers on an as-needed basis.

Design/methodology/approach

The authors propose an improvement for the company's asset management practice by modeling an integrated decision tool which involves evaluation of several machine learning algorithms for demand prediction and mathematical optimization for a centrally-planned asset allocation.

Findings

The authors found that a feed-forward neural network (FNN) model with single hidden layer is the best performing predictor for the company's intermittent product demand and the optimization model is proven to prescribe the most efficient asset allocation given the demand prediction from FNN model.

Practical implications

The implementation of this new tool will close the gap between the company's current and desired future level of operational performance and consequently increase its competitiveness

Originality/value

The results show a superior prediction performance by a feed-forward neural network model and an efficient allocation decision prescribed by the optimization model.

Details

International Journal of Productivity and Performance Management, vol. 71 no. 4
Type: Research Article
ISSN: 1741-0401

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Article
Publication date: 26 January 2021

Camila Aparecida Diniz, Yohan Méndez, Fabrício Alves de Almeida, Sebastião Simões da Cunha Jr and G.F. Gomes

Many studies only take into account the ply stacking sequence as the design variable to determine the optimal ply drop-off location; however, it is necessary to optimize other…

314

Abstract

Purpose

Many studies only take into account the ply stacking sequence as the design variable to determine the optimal ply drop-off location; however, it is necessary to optimize other parameters that have a direct influence on the ply drop-off site such as which plies should be dropped and in which longitudinal direction. That way, the purpose of this study is to find the most significant design variables relative to the drop-off location considering the transversal and longitudinal positions, seeking to achieve the optimal combination of ply drop-off locations that provides excellent performance for the laminate plate.

Design/methodology/approach

This study aims to determine the optimal drop-off location in a laminate plate using the finite element method and an approach statistical with design of experiments (DOE).

Findings

The optimization strategy using DOE revealed to be satisfactory for analyzing laminate structures with ply drop-offs, demonstrating that not all design factors influence the response variability. The failure criterion response variable revealed a poor fit, with an adjusted coefficient of determination lower than 60%, thus demonstrating that the response did not vary with the ply drop-off location. Already the strain and natural frequency response variables presented high significance. Finally, the optimization strategy revealed that the optimal drop-off location that minimizes the strain and maximizes the natural frequency is the ply drop-off located of the end plate.

Originality/value

It was also noted that many researchers prefer evolutionary algorithms for optimizing composite structures with ply drop-offs, being scarce to the literature studies involving optimization strategies using response surface methodology. In addition, many studies only take into account the ply stacking sequence as the design variable to determine the optimal ply drop-off location; however, in this study, the authors investigated other important parameters that have direct influence on the ply drop-off site such as which plies should be dropped and in which longitudinal direction.

Details

Engineering Computations, vol. 38 no. 7
Type: Research Article
ISSN: 0264-4401

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Article
Publication date: 4 November 2020

Yun Jeong Ro, Myunghyun Yoo, Yohan Koo and Ji Hoon Song

The purpose of this paper is to examine the relationships between several perceptional and behavioral determinants of employees’ knowledge sharing. Based on the conceptual model…

961

Abstract

Purpose

The purpose of this paper is to examine the relationships between several perceptional and behavioral determinants of employees’ knowledge sharing. Based on the conceptual model of the current research, individuals’ learning orientation was theorized as playing a mediating role in the influences of employees’ satisfaction and organizational commitment on knowledge sharing in the Korean retail service industry.

Design/methodology/approach

To analyze variable relationships, a total of 868 cases, collected from the Korean retail service industry, were used. Structural equation modeling was used for analyzing structural influential relationships among the variables.

Findings

One of the most important findings is that learning orientation is the key factor influencing knowledge sharing. More specifically, the analysis demonstrated that job satisfaction and organizational commitment have a significant influence on knowledge sharing only through learning orientation in terms of its mediating effect. In other words, learning orientation is a facilitator enhancing knowledge sharing through motivation and intention. The findings of this study have theoretical implications. In addition, an individual’s job satisfaction and organizational commitment could lead to a more active learning orientation and eventually could enhance knowledge-sharing activities.

Practical implications

The findings show that learning orientation is the key factor influencing knowledge sharing. In other words, learning orientation is a facilitator enhancing knowledge sharing through motivation and intention. These findings provide practical implications for practitioners who attempt to promote knowledge sharing among employees.

Originality/value

Most studies have considered the variables of job satisfaction and employee commitment as outcome variables. However, in the research, this paper founds that satisfied and committed employees could be the most critical influencers for organization performance and knowledge improvement.

Details

Industrial and Commercial Training, vol. 53 no. 1
Type: Research Article
ISSN: 0019-7858

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Article
Publication date: 27 June 2008

Yohan Chae and Younggoo Kwon

IEEE 802.15.4 is a new standard uniquely designed for low‐rate wireless sensor networks (WSNs). It targets low data rate, low power consumption and low‐cost wireless networking…

585

Abstract

Purpose

IEEE 802.15.4 is a new standard uniquely designed for low‐rate wireless sensor networks (WSNs). It targets low data rate, low power consumption and low‐cost wireless networking, and offers device level wireless connectivity. The purpose of this paper is to propose a traffic adaptive power control algorithm for beacon relayed distributed WSNs.

Design/methodology/approach

A general coordinated sleeping algorithm and the traffic adaptive algorithm are combined in an IEEE 802.15.4 MAC protocol to achieve high‐energy efficiency and high performance at the same time.

Findings

By observing the sporadic traffic and beacon relaying characteristics of WSNs, the paper proposes a traffic‐adaptive IEEE 802.15.4 MAC with a coordinated sleeping algorithm. Based on various performance studies, it was found that the proposed algorithm can significantly improve power consumptions in wireless sensor networks.

Originality/value

The paper is of value in proposing a traffic adaptive power control algorithm showing highly efficient power consumptions in low‐traffic conditions as well as with an acceptable degree of adaptation to high‐traffic conditions. In delay performance, it shows longer delay performance compared with other schemes because of the beacon relay procedure while the proposed algorithm reduces the power consumptions dramatically.

Details

International Journal of Pervasive Computing and Communications, vol. 4 no. 2
Type: Research Article
ISSN: 1742-7371

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