スポーツ・マネジメントとマーケティング:ハンドブック<br>Research Handbook on Sports Management and Marketing

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スポーツ・マネジメントとマーケティング:ハンドブック
Research Handbook on Sports Management and Marketing

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  • 製本 Hardcover:ハードカバー版/ページ数 406 p.
  • 言語 ENG
  • 商品コード 9781035317219
  • DDC分類 796.069

Full Description

This highly-informative Research Handbook presents a comprehensive, practical guide on how academic enquiry in sport management and marketing is conducted and applied. Each chapter includes a particular method or approach to responding to a research question with a complementary illustration of how to use that method. It focuses on expanding the toolkit of sport management researchers and highlights how a set of diverse methodological approaches can generate deeper insights into the business and culture of sport.

Expert international scholars analyse both traditional approaches and innovative methods, exploring research strategies, data collection approaches and data analysis. Chapters demonstrate the how and why of each method and allow readers to either follow the full journey of research or focus on individual techniques. Example case studies include examining career compensation of National Basketball Association players, fan surveys in the National Women's Soccer League and surveying member satisfaction of a health-fitness club service. Empirical approaches to research such as the Delphi method, secondary data, athlete interviews, predictive modelling and surveys provide important practical analyses that can be applied in real-world scenarios.

This Research Handbook is an essential resource for scholars and graduate students of sports management and marketing, as well as industry researchers in business and management more broadly. Its practical insights are invaluable for researchers in sport marketing and practitioners in the sport industry, such as administrators, marketers and consultants.

Contents

Contents
Introduction: about the Research Handbook on Sports Management and Marketing xv
PART I RESEARCH APPROACHES AND STRATEGIES
1 Mixed methods design: typologies and applications 2
Gashaw Abeza and Norm O'Reilly
2 Observation as a tool for scientific sport management/marketing research 16
Darlene A. Kluka and Anneliese Goslin
3 Narrative inquiry: opportunities for sport management research 34
Lauren Beasley and Robin Hardin
4 The sequential-funnel-based focus group and collegiate athletes: exploring
name, image, and likeness 55
Connor Blake, Katherine Reifurth, Thomas Erick, Sam Lander, Norm
O'Reilly, and Rick Burton
5 Sports consumer responses toward recreational cannabis use by Spanish
professional football players: the application of experimental methodology 65
Sean Pradhan, Sean Laraway, Susan Snycerski, and Kristi Sadler
6 Experimental methods for sport management: establishing causation 76
TzuShou Ryan Wang and Sophia Deulre Min
7 Survey research methods 86
Ali Mondt
8 Experience Sampling Methodology (ESM) 105
Cony Ho, TzuShuo Ryan Wang, and Sophia Deulre Min
PART II RESEARCH DATA GATHERING METHODS
9 The Delphi technique and sport 118
Mark Dottori and Alex Sévigny
10 Stakeholder interviews: the case of contrasting esports and traditional
sports 126
Noel Savage, Rusty Stough, and Norm O'Reilly
11 The use of the photo-elicitation interview in studying participatory sport 140
Guangzhou Chen, Thomas Aicher, and Brianna Newland
12 Utilizing interviews in developing economic frameworks: the case of sport
participation financial costs 150
Michael D.M. Alcorn, Norm O'Reilly, and Connor Blake
13 Fan survey research: the case of the NWSL 159
Cindy Lee
14 Survey research methods in sport management: member satisfaction of
health-fitness club service 168
Eddie T.C. Lam and David J. Topor
15 Employee survey research 194
Robin Hardin
16 Scale development: betting in sport 206
Arif Yüce and Sevda Gökce Yüce
17 The best of the bunch: using bestworst scaling to model choices 226
Walker J. Ross
18 Public player salary data: career compensation of NBA players 235
Norm O'Reilly and Muralee Das
PART III RESEARCH DATA ANALYSIS METHODS
19 Critical discourse analysis 253
Katie Sveinson
20 Sentiment analysis 266
Luke L. Mao and Tyreal Y. Qian
21 Survival approaches to the analysis of longitudinal data: a methodological
illustration utilizing sport sponsorship 280
Jonathan A. Jensen
22 Using machine learning and word embeddings to quantify gender
stereotypes in Sports Illustrated 301
Sam Shuoyu Chen and James Jianhui Zhang
23 Qualitative Comparative Analysis (QCA) research guidelines 317
Nadège Levallet and James S. Denford
24 Regression analyses in sport management 341
Zachary Beldon and Shahaf Bareni
25 Multiple linear regression 355
N. David Pifer

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