An economic model of multi-level marketing

被引:0
|
作者
Reingewertz, Yaniv [1 ]
机构
[1] Univ Haifa, Sch Polit Sci, Dept Publ Adm & Policy, Haifa, Israel
来源
PLOS ONE | 2021年 / 16卷 / 07期
关键词
DOUGLAS PRODUCTION FUNCTION; NETWORK; HIERARCHIES; SCHEMES; GROWTH; FIRM;
D O I
10.1371/journal.pone.0253700
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
This paper offers an economic model of the operation of multi-level marketing (MLM) firms in competitive and non-competitive markets. The model takes a recursive approach to analyse decision making at the distributor level in order to understand basic issues in the MLM market and firm structure. Specifically, it is shown that under reasonable assumptions MLM firms will have a limited structure. In cases where commissions increase with the number of levels, MLM firms will include no more than six to nine levels in equilibrium. In cases of fixed commissions, market conditions dictate a cap on the number of distributors. These conditions imply a limited "multi-level" structure. They also imply that the revenues of the median distributor are mainly a result of direct sales and not a result of commissions. The model also suggests that MLM firms will only arise where marketing costs are substantial, and that it is primarily individuals with small outside offers who choose to become distributors. Finally, the model provides a formula that calculates market prices for a monopoly MLM firm.
引用
收藏
页数:18
相关论文
共 50 条
  • [31] Meta-Analyses as a Multi-Level Model
    Gooty, Janaki
    Banks, George C.
    Loignon, Andrew C.
    Tonidandel, Scott
    Williams, Courtney E.
    [J]. ORGANIZATIONAL RESEARCH METHODS, 2021, 24 (02) : 389 - 411
  • [32] Model checking multi-level and recursive nets
    Fernandez Venero, Mirtha Lina
    Correa da Silva, Flavio Soares
    [J]. SOFTWARE AND SYSTEMS MODELING, 2017, 16 (04): : 1117 - 1144
  • [33] MULTI-LEVEL MODEL FOR VIDEO SALIENCY DETECTION
    Bi, Hongbo
    Lu, Di
    Li, Ning
    Yang, Lina
    Guan, Huaping
    [J]. 2019 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP), 2019, : 4654 - 4658
  • [34] A Multi-level Attention Model for Text Matching
    Sun, Qiang
    Wu, Yue
    [J]. ARTIFICIAL NEURAL NETWORKS AND MACHINE LEARNING - ICANN 2018, PT I, 2018, 11139 : 142 - 153
  • [35] A consilient, multi-level model of corporal punishment
    Michalski, Joseph H.
    [J]. THEORY AND SOCIETY, 2024, 53 (04) : 905 - 932
  • [36] A multi-level model for web service composition
    Vidyasankar, K
    Vossen, G
    [J]. IEEE INTERNATIONAL CONFERENCE ON WEB SERVICES, PROCEEDINGS, 2004, : 462 - 469
  • [37] SHARING MODEL WITH MULTI-LEVEL FEATURE REPRESENTATIONS
    Shen, Li
    Sun, Gang
    Wang, Shuhui
    Wu, Enhua
    Huang, Qingming
    [J]. 2014 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP), 2014, : 5931 - 5935
  • [38] The multi-level location set covering model
    Church, RL
    Gerrard, RA
    [J]. GEOGRAPHICAL ANALYSIS, 2003, 35 (04) : 277 - 289
  • [39] A unified Model for The Multi-level Virtual Conductor
    Ramadan, Husam A.
    Shoyama, Masahito
    [J]. 2014 IEEE 36TH INTERNATIONAL TELECOMMUNICATIONS ENERGY CONFERENCE (INTELEC), 2014,
  • [40] Model checking multi-level and recursive nets
    Mirtha Lina Fernández Venero
    Flávio Soares Corrêa da Silva
    [J]. Software & Systems Modeling, 2017, 16 : 1117 - 1144