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

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.

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

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.

Hedonic and Utilitarian Propositions of Mobile Data Services in Sri Lanka

This research article investigates the adoption of mobile data services with utilitarian and hedonic value propositions in Sri Lanka. This study attempts to develop a conceptually model and related hypotheses and its behavior within the Sri Lankan user context. The findings related to the perceived usefulness has reported that a strong relationship between the attitudes and adoption intension even in the context of products with predominantly hedonic values propositions. Further, it was noted that the utilitarian motives of usefulness, ease of use, and comparative advantage were more strongly present than hedonic motives even in mobile ringtone users. The utilitarian motives had strong correlations with the attitude towards attitudes and adoption intension.

Modeling Place

Recent research has shown how new mobile networked environments have added new complexity to the notion of “place”, now considered as an important concept in the context of technology adoption and the usage of mobile technologies, applications and services. The aim of this paper is to propose a new framework to gain insight into the usage behaviour of mobile data services and applications. A model of place was generated, adopting the humanistic geographical perspective as represented by the four “layers of place” introduced by Tuan's theory, which can be served as a sensitizing device in order to interpret and analyse the collected data. The model has been applied on an observational field study which tried to explore, understand and highlight the role of place in the decision of the people to use mobile data services. The model assisted researchers to show that the end users' decision to start using mobile data services has been influenced and triggered by their experience of place. This highlights the value of the proposed new framework of understanding users' interaction with their surrounding environment when adopting new technologies and using mobile data services.

How Do Emotions Impact Mobile Services Acceptance? A Systematic Literature Review

Mobile data services have been rapidly developing and expanding in the recent years; therefore many studies focus on researching their acceptance and use in general or by observing different viewpoints. One of these is emotions, which influence our beliefs and attitudes that impact our decisions and actions. The objective of our research was therefore to explore the field of mobile data services acceptance in regard to emotional factors. We performed a systematic literature review of emotional concepts and their relationships, provided by 43 primary studies. Consequently, our study includes an aggregation of emotional factors obtained from related and reviewed literature, with their definitions and the extent of their usage. Furthermore, it analyses the proportion of emotional factors against all acceptance-related factors as well as the extent of their use through time. Our study tries to guide future work by aggregating the relations that include at least one emotional factor and by providing the rate of their significance. Finally, the study tends to determine the viability of the emotional factors by observing their direct influences on users’ intention and proposes a generic theoretical model for supporting future mobile services research.