Exploring the Effects of "What" (Product) and "Where" (Website) Characteristics on Online Shopping Behavior

被引:94
作者
Mallapragada, Girish [1 ]
Chandukala, Sandeep R. [2 ]
Liu, Qing [3 ]
机构
[1] Indiana Univ, Kelley Sch Business, Mkt, Bloomington, IN 47405 USA
[2] Singapore Management Univ, Lee Kong Chian Sch Business, Mkt, Singapore 178902, Singapore
[3] Univ Wisconsin, Wisconsin Sch Business, Mkt, Madison, WI 53706 USA
关键词
online retailing; multivariate mixed-effects models; product heterogeneity; basket value; website functionality; CONSUMER CHOICE; WEB SITE; SOCIAL-INFLUENCE; MODERATING ROLE; MODEL; PURCHASE; INTERNET; SEARCH; DESIGN; PERFORMANCE;
D O I
10.1509/jm.15.0138
中图分类号
F [经济];
学科分类号
02 ;
摘要
Understanding factors that influence online shopping and managing consumer relationships is not a trivial task for firms, considering the many pertinent factors that influence behavior, including the product being shopped (i.e., the "what") and the context of the website itself (i.e., the "where"). This study investigates the impact of these characteristics on an online transaction's basket value, after incorporating the role of other aspects of the browsing process including page views and visit duration. The authors estimate a multivariate mixed-effects Type II Tobit model with a system of equations to explain variation in shopping basket value, using data involving 773,262 browsing sessions resulting in 9,664 transactions across 43 product categories from 385 unique websites. The results support the assertions that contextual factors are associated with online browsing. For example, a website's scope in terms of product variety is associated positively with visit durations and basket values but negatively with page views. Furthermore, a website's communication functionality is positively associated with basket value for hedonic products. Insights suggest managerial implications involving product and website strategies for online retailers.
引用
收藏
页码:21 / 38
页数:18
相关论文
共 66 条
[1]  
[Anonymous], 1 CLICK J BEZOS RISE
[2]  
[Anonymous], MODELING SCALE EVOLU
[3]  
[Anonymous], WEB BEH DIS DAT
[4]   Are the drivers and role of online trust the same for all Web sites and consumers? A large-scale exploratory empirical study [J].
Bart, Y ;
Shankar, V ;
Sultan, F ;
Urban, GL .
JOURNAL OF MARKETING, 2005, 69 (04) :133-152
[5]   Shopping behavior and consumer preference for store price format: Why "large basket" shoppers prefer EDLP [J].
Bell, DR ;
Lattin, JM .
MARKETING SCIENCE, 1998, 17 (01) :66-88
[6]  
Benartzi S, 1997, J FINANC, V52, P1007, DOI 10.2307/2329514
[7]   The Social Context of Temporal Sequences: Why First Impressions Shape Shared Experiences [J].
Bhargave, Rajesh ;
Montgomery, Nicole Votolato .
JOURNAL OF CONSUMER RESEARCH, 2013, 40 (03) :501-517
[8]   A model of the joint distribution of purchase quantity and timing [J].
Boatwright, P ;
Borle, S ;
Kadane, JB .
JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 2003, 98 (463) :564-572
[9]   A model of web site browsing behavior estimated on clickstream data [J].
Bucklin, RE ;
Sismeiro, C .
JOURNAL OF MARKETING RESEARCH, 2003, 40 (03) :249-267
[10]   Bayesian Analysis of Hierarchical Effects [J].
Chandukala, Sandeep R. ;
Dotson, Jeffrey P. ;
Brazell, Jeff D. ;
Allenby, Greg M. .
MARKETING SCIENCE, 2011, 30 (01) :123-133