Bundling Strategies When Products Are Vertically Differentiated and Capacities Are Limited

被引:74
作者
Banciu, Mihai [1 ]
Gal-Or, Esther [2 ]
Mirchandani, Prakash [2 ]
机构
[1] Bucknell Univ, Sch Management, Lewisburg, PA 17837 USA
[2] Univ Pittsburgh, Joseph M Katz Grad Sch Business, Pittsburgh, PA 15260 USA
关键词
vertical differentiation; limited resources; bundle pricing; mixed bundling; revenue management; INFORMATION GOODS; PROBABILITY;
D O I
10.1287/mnsc.1100.1242
中图分类号
C93 [管理学];
学科分类号
12 ; 1201 ; 1202 ; 120202 ;
摘要
We consider a seller who owns two capacity-constrained resources and markets two products (components) corresponding to these resources as well as a bundle comprising the two components. In an environment where all customers agree that one of the two components is of higher quality than the other and that the bundle is of the highest quality, we derive the seller's optimal bundling strategy. We demonstrate that the optimal solution depends on the absolute and relative availabilities of the two resources as well as upon the extent of subadditivity of the quality of the products. The possible strategies that can arise as equilibrium behavior include a pure components strategy, a partial-or full-spectrum mixed bundling strategy, and a pure bundling strategy, where the latter strategy is optimal when capacities are unconstrained. These conclusions are contrary to findings in the prior literature on bundling that demonstrated the unambiguous dominance of the full-spectrum mixed bundling strategy. Thus, our work expands the frontier of bundling to an environment with vertically differentiated components and limited resources. We also explore how the bundling strategies change as we introduce an element of horizontal differentiation wherein different types of customers value the available components differently.
引用
收藏
页码:2207 / 2223
页数:17
相关论文
共 34 条
[1]   COMMODITY BUNDLING AND BURDEN OF MONOPOLY [J].
ADAMS, WJ ;
YELLEN, JL .
QUARTERLY JOURNAL OF ECONOMICS, 1976, 90 (03) :475-498
[2]   Pricing a bundle of products or services: The case of nonprofits [J].
Ansari, A ;
Siddarth, S ;
Weinberg, CB .
JOURNAL OF MARKETING RESEARCH, 1996, 33 (01) :86-93
[3]   Media Revenue Management with Audience Uncertainty: Balancing Upfront and Spot Market Sales [J].
Araman, Victor F. ;
Popescu, Ioana .
M&SOM-MANUFACTURING & SERVICE OPERATIONS MANAGEMENT, 2010, 12 (02) :190-212
[4]   Log-concave probability and its applications [J].
Bagnoli, M ;
Bergstrom, T .
ECONOMIC THEORY, 2005, 26 (02) :445-469
[5]   Bundling information goods: Pricing, profits, and efficiency [J].
Bakos, Y ;
Brynjolfsson, E .
MANAGEMENT SCIENCE, 1999, 45 (12) :1613-1630
[6]  
BANCIU M, 2009, THESIS U PITTSBURGH
[7]  
Bitran G., 2003, Manufacturing & Service Operations Management, V5, P203, DOI 10.1287/msom.5.3.203.16031
[8]   Managing on-air ad inventory in broadcast television [J].
Bollapragada, Srinivas ;
Mallik, Suman .
IIE TRANSACTIONS, 2008, 40 (12) :1107-1123
[9]  
Brown K.S., 2003, Empirical Aspects of Advertiser Preferences and Program Content of Network Television
[10]   A Theory of Combative Advertising [J].
Chen, Yuxin ;
Joshi, Yogesh V. ;
Raju, Jagmohan S. ;
Zhang, Z. John .
MARKETING SCIENCE, 2009, 28 (01) :1-19