Evaluation And Design of Business Models for Collaborative Provision of Advanced Mobile Data Services: A Portfolio Theory Approach

2008 ◽  
pp. 353-386 ◽  
Author(s):  
Alexei A. Gaivoronski ◽  
Josip Zoric
Keyword(s):  
Business Models ◽  
Portfolio Theory ◽  
Theory Approach ◽  
Mobile Data ◽  
Mobile Data Services ◽  
Data Services

Describing the Critical Factors for Creating Successful Mobile Data Services

2011 ◽  
pp. 204-219
Author(s):  
Anne Tseng ◽  
Jukka Kallio ◽  
Markku Tinnila
Keyword(s):  
Value Chain ◽  
Business Models ◽  
Customer Relationship ◽  
Critical Factors ◽  
Mobile Data ◽  
Mobile Data Services ◽  
Data Services ◽  
Key Characteristics ◽  
The World ◽  
Services Innovation

Mobile operators play a central role in the development of the mobile data services market. They have primary access to the customer relationship, a key source of revenue, and are responsible for how revenue is distributed to other participants in the value chain. As a result, a successful operator-driven business model is essential to the survival of the mobile data industry. The purpose of this chapter is to describe the critical factors that have influenced the results of operators based on countries that have been at the forefront of mobile data services innovation. Then, by comparing the key characteristics of operator-driven business models in these four cases around the world, we will describe the critical factors used in designing successful mobile data services.

Describing the Critical Factors for Creating Successful Mobile Data Services

2009 ◽  
pp. 506-517
Author(s):  
Anne Tseng ◽  
Jukka Kallio ◽  
Markku Tinnilä
Keyword(s):  
Value Chain ◽  
Business Models ◽  
Customer Relationship ◽  
Critical Factors ◽  
Mobile Data ◽  
Mobile Data Services ◽  
Data Services ◽  
Key Characteristics ◽  
The World ◽  
Services Innovation

Mobile operators play a central role in the development of the mobile data services market. They have primary access to the customer relationship, a key source of revenue, and are responsible for how revenue is distributed to other participants in the value chain. As a result, a successful operatordriven business model is essential to the survival of the mobile data industry. The purpose of this chapter is to describe the critical factors that have influenced the results of operators based on countries that have been at the forefront of mobile data services innovation. Then, by comparing the key characteristics of operator-driven business models in these four cases around the world, we will describe the critical factors used in designing successful mobile data services.

User intention and consumer needs of packaged mobile data services in Mexico

2010 ◽  
Vol 1 (2) ◽  
pp. 129 ◽  
Author(s):  
Alejandro Ibarra Yunez ◽  
Raquel Castano ◽  
Luis E. Perez Monjaras
Keyword(s):  
User Intention ◽  
Mobile Data ◽  
Mobile Data Services ◽  
Data Services

Performance Measurement for New Mobile Data Services During Generation Upgrading Period: A Case of China's Telecom Industry

2021 ◽  
Author(s):  
Yu Du ◽  
Xiaohang Zhang ◽  
Zhengren Li ◽  
Yijun Guo
Keyword(s):  
Performance Measurement ◽  
Quantitative Model ◽  
Service Development ◽  
Data Service ◽  
Mobile Data ◽  
Mobile Data Services ◽  
Data Services ◽  
Reliability Indicators ◽  
Mobile Data Service ◽  
New Generation

Abstract For the global telecom operators, mobile data services have gradually taken the part of traditional voice services to become the main revenue growth point. However, during the upgrading period of new generation networks (Such as 5G), new mobile data services are still at the stage of exploration, the network capabilities and the application scenarios are unmatured. In this phase, it is incomplete and misleading to simply measure the performance of new services from one dimension, such as data traffic or revenue, and the measurement should be dynamically changed according to the development of the new services. Therefore, telecom operators want to improve the existing performance measurement from the aspect of integrity and dynamics. In this paper, we propose Mobile-data-service Development Index (MDDI), and build a quantitative model to dynamic measure the overall performance of mobile data services. To approach a fuller understanding, we creatively bring investment indicators and networks reliability indicators into performance indicators system, and discuss the relationships among subindices and the selection of outcome criteria in MDDI. In the part of empirical research, we use the model to analyze the dynamic characteristics of a new mobile data service in China, and summarize the development strategies of every stage. The findings can also give guidelines for new services of 5G and other new generation networks in the future.

United States of America

2011 ◽  
pp. 240-258
Author(s):  
Mats Samuelsson ◽  
Nikhilesh Dholakia ◽  
Sanjeev Sardana
Keyword(s):  
United States ◽  
United States Of America ◽  
New Technologies ◽  
Mobile Telephony ◽  
Technological Capabilities ◽  
Mobile Data ◽  
Mobile Data Services ◽  
Data Services ◽  
Mobile Industry ◽  
The U.S

Somewhat behind in the mobile telephony adoption than leading European and Asian markets, the U.S. market caught up in the 2000s. While simple types of mobile data services — such as messaging and downloads — had made some headway, the preexisting popularity of PC-based Internet made the U.S. users somewhat resistant to m-commerce offerings that did not match the richness of PC e-commerce. By the mid-2000s, however, network and technological capabilities were in place to usher in rich, new m-commerce offerings in U.S. markets. By taking advantage of new technologies, the U.S. mobile industry had the opportunity to become an innovator in m-commerce offerings.

Modeling the Dynamics of Emerging Mobile Data Services Markets

2011 ◽  
pp. 161-178
Author(s):  
Arthur Lee Gilbert ◽  
Hilda Han Mei Ian
Keyword(s):  
Critical Mass ◽  
Field Research ◽  
Social Contexts ◽  
Enabling Technology ◽  
Mobile Data ◽  
Mobile Data Services ◽  
Technology Learning ◽  
Data Services ◽  
Innovation Diffusion Theory ◽  
Value Propositions

Like the Internet, a critical mass is essential in recovering the initial costs of development and deployment of mobile data services (MDS). Thus, MDS deployment must create new value and generate new behaviors in specific social contexts over time. Some behaviors of interest include making decisions to acquire the enabling technology, learning to use it, applying it, and then, by word-of-mouth, encouraging others to join in. This chapter examines the evolving MDS phenomenon and recommends a multimodal approach to research in emergent MDS markets based on recent findings. This work draws on field research by Nanyang Business School’s Information Management Research Center (IMARC) focused on the application of innovation diffusion theory to market segmentation. The authors also describe the enabling technology and applications, discuss the value propositions, and propose a model to segment the MDS market.

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