Retail quality, market environment and business survival in the retail Apocalypse: an investigation of the sporting goods retail industry

被引:6
作者
Mao, Luke L. [1 ]
机构
[1] Univ New Mexico, Albuquerque, NM USA
关键词
Sporting goods retail; Retail quality; Trading area; Business survival; Random effects; Logistic regression; WORD-OF-MOUTH; ONLINE USER REVIEWS; SERVICE-QUALITY; CUSTOMER SATISFACTION; CONSUMER; PRODUCT; SALES; UTILITARIAN; CARE; PROFITABILITY;
D O I
10.1108/IJSMS-06-2021-0115
中图分类号
F [经济];
学科分类号
02 ;
摘要
Purpose In the era of the retail Apocalypse, the surge of e-commerce has transmuted the competitive landscape for many traditional retailers that heavily rely on brick-and-mortar stores. This study examines the relationship among retail quality, market environment and businesses' survival in the context of the sporting goods retail industry. Design/methodology/approach Based on a data set from yelp.com, the authors examine the survival of 1,360 stores within 306 zip codes in the United States using mixed effects logistic modeling. Findings (1) Retail quality is positively related to survival, but the relationship is nonlinear; (2) the author find a null relationship between market competition and survival, which is subject to several competing interpretations; (3) 10% of the individual variation in survival is due to systematic differences between zip codes and (4) chain stores and stores with more heterogenous reviews have a higher closure rate. Originality/value This study contributes to the literature by offering an empirical testing of the relationship between retail quality and business survival and examining the impact of trading area in the modern marketing milieu. The findings have practical implications for site selection and designing a service quality program.
引用
收藏
页码:547 / 571
页数:25
相关论文
共 102 条
[51]   Cognitive, affective, and behavioral consumer responses to augmented reality in e-commerce: A comparative study [J].
Kowalczuk, Pascal ;
Siepmann, Carolin ;
Adler, Jost .
JOURNAL OF BUSINESS RESEARCH, 2021, 124 :357-373
[52]  
Ladle J.K., 2009, Cornell Real Estate Review, V7, P1
[53]   Interpreting parameters in the logistic regression model with random effects [J].
Larsen, K ;
Petersen, JH ;
Budtz-Jorgensen, E ;
Endahl, L .
BIOMETRICS, 2000, 56 (03) :909-914
[54]   Assessment of airport service quality: A complementary approach to measure perceived service quality based on Google reviews [J].
Lee, Kiljae ;
Yu, Chunyan .
JOURNAL OF AIR TRANSPORT MANAGEMENT, 2018, 71 :28-44
[55]   Describing the patient experience from Yelp reviews of community pharmacies [J].
Lester, Corey A. ;
Wang, Mukai ;
Vydiswaran, V. G. Vinod .
JOURNAL OF THE AMERICAN PHARMACISTS ASSOCIATION, 2019, 59 (03) :349-355
[56]   Online persuasion of review emotional intensity: A text mining analysis of restaurant reviews [J].
Li, Hengyun ;
Liu, Hongbo ;
Zhang, Zili .
INTERNATIONAL JOURNAL OF HOSPITALITY MANAGEMENT, 2020, 89
[57]  
Luca D.L., 2018, 2951110 SSRN, DOI [10.2139/ssrn.2951110, DOI 10.2139/SSRN.2951110]
[58]  
Manjon M.C., 2008, Emprica, V35, P1, DOI DOI 10.1007/S10663-007-9048-X
[59]  
Mao L, 2019, SPORT MARK ASS ANN C
[60]   Understanding retail quality of sporting goods stores: a text mining approach [J].
Mao, Luke Lunhua .
INTERNATIONAL JOURNAL OF SPORTS MARKETING & SPONSORSHIP, 2021, 22 (02) :330-352