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.

scholarly journals Performance measurement for new mobile data services during generation upgrading period: a case of China’s telecom industry

2021 ◽  
Vol 2021 (1) ◽  
Author(s):  
Yu Du ◽  
Xiao H. Zhang ◽  
Zheng R. Li ◽  
Yi J. 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

AbstractFor 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.

CONTRIBUTION TO QUALITY OF LIFE: CROSS-NATIONAL VALIDATION OF NEW METRICS FOR MOBILE DATA SERVICE TECHNOLOGY IN KOREA AND JAPAN

2007 ◽  
Vol 04 (02) ◽  
pp. 191-208 ◽  
Author(s):  
HUN CHOI ◽  
JINWOO KIM ◽  
MINKYUNG LEE ◽  
GEORGE GIAGLIS ◽  
KAZUAKI NARUSE ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Reliability And Validity ◽  
Data Service ◽  
Online Surveys ◽  
Mobile Data ◽  
Data Services ◽  
Survey Results ◽  
Mobile Data Service ◽  
Cross National

Every technology should be geared to improve the quality of users' lives. The important pre-requisite is to measure the contribution of the technology to quality of life reliably and validly. This study provides a theoretical and empirical basis for the development of better measures for the contribution of a mobile data service technology to the quality of users' lives. The reliability and validity were verified through online surveys in Korea and Japan. The survey results indicated that critical mobile data services could be identified using the measures. Moreover, the critical services were found to be different between Korea and Japan.

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

Determinants of Customers’ Brand Choice and Continuance Intentions with Mobile Data Service Provider: The Role of Past Experience

2018 ◽  
Vol 19 (6) ◽  
pp. 1478-1493 ◽  
Author(s):  
Obinna C. Ojiaku ◽  
Aihie Osarenkhoe
Keyword(s):  
Service Quality ◽  
Service Providers ◽  
Brand Image ◽  
Brand Choice ◽  
Past Experience ◽  
Mobile Service ◽  
Data Service ◽  
Mobile Data ◽  
Mobile Data Service ◽  
The Impact

The prevalence of mobile data services has intensified competition and structured the market for mobile telecommunication services, resulting in decreased revenue particularly from voices services and high churn rate. Mobile service providers therefore seek ways to increase revenue by attracting and retaining mobile data users. This study investigates the determinants of customers’ brand choice and continuance intentions with mobile service providers in the context of mobile data service. This study also captures the impact of past experience on behavioural outcomes. Data were collected from 304 customers of mobile data service firms and analysed using regression analyses. Results indicate that mobile service quality, pricing structure and promotion, but not brand image, affect brand choice, whereas continuance intentions are affected by the mobile service quality, brand image and price. Customers’ past experience relates significantly and negatively to brand choice but not continuance intention. The contribution and implication of the study are discussed.

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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