This file is part of IDEAS, which uses RePEc data


[ Papers | Articles | Software | Books | Chapters | Authors | Institutions | JEL Classification | NEP reports | Search | New papers by email | Author registration | Rankings | Volunteers | FAQ | Blog | Help! ]

Optimal Bundle of Multimedia Services in Emerging Mobile Markets

Author info | Abstract | Publisher info | Download info | Related research | Statistics
Author Info
Lee, ChanGi
Lee, SeongCheol
Lee, DeockHee
Lee, HyeongJik
Abstract

Although various emerging technologies have been launched, they present limitations as far as offering full-scale ubiquitous services independently is concerned. In view of this fact, service providers are likely to provide bundled services among possible combinations of services. Indeed, making a timely decision regarding the value maximization of bundled service is directly related to service providers' future growth and success in the turbulent market environment. This paper aims to find the optimal service bundle among five emerging mobile services: T-DMB, S-DMB, WiBro, HSDPA, and Telematics. Considering what kinds of service features among the five emerging services offer differentiation to customers, we examine four attributes (TV, voice, portable wireless internet, and location-based services) using conjoint analysis to distinguish the service features. Our results show that TV service is the most favored among the attributes, followed by voice service in second position, and the internet and location-based service in third and fourth place respectively. Our result implies that mobile operators would be better off bundling HSDPA and S-DMB first, and then adding other services later, while fixed operators would be better off bundling WiBro and S-DMB first and other services later.

Download Info
To download:

If you experience problems downloading a file, check if you have the proper application to view it first. Information about this may be contained in the File-Format links below. In case of further problems read the IDEAS help file. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

File URL: http://mpra.ub.uni-muenchen.de/3551/
File Format:
File Function:
Download Restriction: no

Publisher Info
Paper provided by University Library of Munich, Germany in its series MPRA Paper with number 3551.

Download reference. The following formats are available: HTML, plain text, BibTeX, RIS (EndNote), ReDIF
Length:
Date of creation: Sep 2006
Date of revision:
Handle: RePEc:pra:mprapa:3551

Contact details of provider:
Postal: Schackstr. 4, D-80539 Munich, Germany
Phone: +49-(0)89-2180-2219
Fax: +49-(0)89-2180-3900
Web page: http://mpra.ub.uni-muenchen.de
More information through EDIRC

For technical questions regarding this item, or to correct its listing, contact: (Ekkehart Schlicht).

Related research
Keywords: telecommunications and broadcasting convergence emerging service 4G Technology T-DMB S-DMB WiBro HSDPA telematics customer preference.

Find related papers by JEL classification:
H23 - Public Economics - - Taxation, Subsidies, and Revenue - - - Externalities; Redistributive Effects; Environmental Taxes and Subsidies
K21 - Law and Economics - - Regulation and Business Law - - - Antitrust Law
L82 - Industrial Organization - - Industry Studies: Services - - - Entertainment; Media
L96 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Telecommunications

This paper has been announced in the following NEP Reports:

References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
  1. Green, Paul E & Srinivasan, V, 1978. " Conjoint Analysis in Consumer Research: Issues and Outlook," Journal of Consumer Research: An Interdisciplinary Quarterly, University of Chicago Press, vol. 5(2), pages 103-23, Se.
Full references

Statistics
Access and download statistics

Did you know? You too can volunteer for RePEc, for example by editing a NEP report.

This page was last updated on 2008-11-17.


This information is provided to you by IDEAS at the Department of Economics, College of Liberal Arts and Sciences, University of Connecticut using RePEc data on a server sponsored by the Society for Economic Dynamics.