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On the Profitability of Bundling Sale Strategy for Online Service Markets With Network Effects

Published: 03 May 2019 Publication History

Abstract

In recent years, we have witnessed a growing trend for online service companies to offer “bundling sales” to increase revenue. Bundling sale means that a company groups a set of products/services and charges this bundle at a fixed price, which is usually less than the total price of individual items in the bundle. In this work, our aim is to understand the underlying dynamics of bundling, particularly what is the optimal bundling sale strategy and under what situations it will be more attractive than the separate sales. We focus on online service markets that exhibit network effects. We formulate mathematical models to capture the interactions between buyers and sellers, analyze the market equilibrium and its stability, and provide an optimization framework to determine the optimal sale strategy for a service provider. We analyze the impact of various factors on the profitability of bundling, including the network effects, operating costs, and variance and correlation of customers’ valuations toward these services. We show that bundling is more profitable when the variance of customers’ valuations and the operational cost of the services are small. In addition, a positive network effect and a negative correlation among customers’ valuation on services increase the profitability of bundling, whereas the heterogeneity of services and the asymmetry of operating costs reduce its advantage.

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  • (2021)Optimal Route Selection Decision-Making Based on Intelligent NetworkJournal of Mathematics10.1155/2021/99570822021(1-14)Online publication date: 3-Aug-2021

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Published In

cover image ACM Transactions on Internet Technology
ACM Transactions on Internet Technology  Volume 19, Issue 3
Special Section on Advances in Internet-Based Collaborative Technologies
August 2019
289 pages
ISSN:1533-5399
EISSN:1557-6051
DOI:10.1145/3329912
  • Editor:
  • Ling Liu
Issue’s Table of Contents
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 03 May 2019
Accepted: 01 September 2018
Revised: 01 July 2018
Received: 01 August 2017
Published in TOIT Volume 19, Issue 3

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Author Tags

  1. Bundling sale
  2. Company's profit
  3. Online service market

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  • General Research Fund, Hong Kong

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Cited By

View all
  • (2024)Research on Sports Marketing and Personalized Recommendation Algorithms for Precise Targeting and Promotion Strategies for Target GroupsApplied Mathematics and Nonlinear Sciences10.2478/amns-2024-16949:1Online publication date: 5-Jul-2024
  • (2021)Optimal Route Selection Decision-Making Based on Intelligent NetworkJournal of Mathematics10.1155/2021/99570822021(1-14)Online publication date: 3-Aug-2021

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