Investment performance measurement of new generation mobile communication networks based on dynamic DEA model

Du, Yu; Zhang, Xiaohang; Li, Zhengren; Ling, Wu

doi:10.1186/s13638-019-1575-1

Cited by 4 publications

(2 citation statements)

References 33 publications

(48 reference statements)

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“…INVESTMENT describes the telecom investment of network construction and optimization, which is both an important handgrip to drive the services of telecom operators, and the important foundation of local economic development [23], [24]. More studies are aiming at this field in the recent years, Du et al [25] proposed a method based on the dynamic DEA model and the sensitivity analysis to measure the network investment performance of telecom operators. Then, they applied the proposed method to conduct an empirical research on the operational data of one Chinese telecom operator, and developed effective investment strategies for the upgrading period of networks.…”

Section: Conceptual Model and Research Hypothesesmentioning

confidence: 99%

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

Zhang

et al. 2021

Preprint

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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.

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Section: Conceptual Model and Research Hypothesesmentioning

confidence: 99%

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

Zhang

et al. 2021

Preprint

Self Cite

View full text Add to dashboard Cite

show abstract

“…INVESTMENT describes the telecom investment of networks construction and optimization, which is both an important handgrip to drive the services of telecom operators, and the important foundation of local economic development [39,40]. More studies are aiming at this field in the recent years; Du et al [41] proposed a method based on the dynamic DEA model and the sensitivity analysis to measure the network investment performance of telecom operators. Then, they applied the proposed method to conduct an empirical research on the operational data of one Chinese telecom operator and developed effective investment strategies for the upgrading period of networks.…”

Section: Conceptual Model and Research Hypothesesmentioning

confidence: 99%

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

Zhang

et al. 2021

J Wireless Com Network

Self Cite

View full text Add to dashboard Cite

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.

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Window data envelopment analysis approach: A review and bibliometric analysis

et al. 2021

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Window Data Envelopment Analysis (WDEA) is a popular, effective, and applicable methods for dynamic performance assessment of peer decision making units (DMUs). WDEA is a non-parametric panel method that operates based on the principle of moving averages and establishes efficiency measures by treating each DMU in different periods as a separate DMU. By applying the WDEA approach, a decisionmaker (DM) can measure the efficiency of different DMUs in different periods through a sequence of overlapping windows. Also, WDEA can increase the discrimination power by increasing the number of DMUs when a limited number of DMUs is available. Given the advantages of the WDEA approach and its applications in realworld problems, this paper surveys and analyses 387 WDEA papers published from 1985 to 2020. The paper also recommends some suggestions, guidelines, and opportunities for future research. Notably, the findings show the applicability and efficacy of WDEA in the literature.

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Investment performance measurement of new generation mobile communication networks based on dynamic DEA model

Cited by 4 publications

References 33 publications

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

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

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

Window data envelopment analysis approach: A review and bibliometric analysis

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