How Is the Mobile Internet Different? Search Costs and Local Activities

被引:323
作者
Ghose, Anindya [1 ]
Goldfarb, Avi [2 ]
Han, Sang Pil [3 ]
机构
[1] NYU, Stern Sch Business, New York, NY 10012 USA
[2] Univ Toronto, Rotman Sch Management, Toronto, ON M5S 3E6, Canada
[3] City Univ Hong Kong, Coll Business, Kowloon, Hong Kong, Peoples R China
关键词
mobile Internet; search costs; ranking effects; cognitive load; recency effects; local interests; microblogging; social media; hierarchical Bayesian methods; AUXILIARY VARIABLE MODELS; SCREEN SIZE; ONLINE; COMPETITION; LOCATION; BEHAVIOR; ORDER; PRICE; DEMAND; BINARY;
D O I
10.1287/isre.1120.0453
中图分类号
G25 [图书馆学、图书馆事业]; G35 [情报学、情报工作];
学科分类号
1205 ; 120501 ;
摘要
We explore how Internet browsing behavior varies between mobile phones and personal computers. Smaller screen sizes on mobile phones increase the cost to the user of browsing for information. In addition, a wider range of offline locations for mobile Internet usage suggests that local activities are particularly important. Using data on user behavior at a (Twitter-like) microblogging service, we exploit exogenous variation in the ranking mechanism of posts to identify the ranking effects. We show that (1) ranking effects are higher on mobile phones suggesting higher search costs: links that appear at the top of the screen are especially likely to be clicked on mobile phones and (2) the benefit of browsing for geographically close matches is higher on mobile phones: stores located in close proximity to a user's home are much more likely to be clicked on mobile phones. Thus, the mobile Internet is somewhat less "Internet-like": search costs are higher and distance matters more. We speculate on how these changes may affect the future direction of Internet commerce.
引用
收藏
页码:613 / 631
页数:19
相关论文
共 74 条
[1]  
Adipat B, 2011, MIS QUART, V35, P99
[2]   Location, Location, Location: An Analysis of Profitability of Position in Online Advertising Markets [J].
Agarwal, Ashish ;
Hosanagar, Kartik ;
Smith, Michael D. .
JOURNAL OF MARKETING RESEARCH, 2011, 48 (06) :1057-1073
[3]   User web browsing characteristics using palm handhelds for information retrieval [J].
Albers, MJ ;
Kim, L .
IEEE PROFESSIONAL COMMUNICATION SOCIETY INTERNATIONAL PROFESSIONAL COMMUNICATION CONFERENCE AND ACM SPECIAL INTEREST GROUP ON DOCUMENTATION CONFERENCE, 2000, :125-135
[4]   How Sales Taxes Affect Customer and Firm Behavior: The Role of Search on the Internet [J].
Anderson, Eric T. ;
Fong, Nathan M. ;
Simester, Duncan I. ;
Tucker, Catherine E. .
JOURNAL OF MARKETING RESEARCH, 2010, 47 (02) :229-239
[5]   On the efficiency of adaptive MCMC algorithms [J].
Andrieu, Christophe ;
Atchade, Yves F. .
ELECTRONIC COMMUNICATIONS IN PROBABILITY, 2007, 12 :336-349
[6]  
[Anonymous], 2007, P 9 WEBKDD 1 SNA KDD
[7]  
[Anonymous], 2018, RSAI NEWSL NEW SER
[8]   E-customization [J].
Ansari, A ;
Mela, CF .
JOURNAL OF MARKETING RESEARCH, 2003, 40 (02) :131-145
[9]   An adaptive version for the Metropolis Adjusted Langevin algorithm with a truncated drift [J].
Atchade, Yves F. .
METHODOLOGY AND COMPUTING IN APPLIED PROBABILITY, 2006, 8 (02) :235-254
[10]   Wiring the labor market [J].
Autor, DH .
JOURNAL OF ECONOMIC PERSPECTIVES, 2001, 15 (01) :25-40