A Closer Look at Direct Carrier Billing

2020 ◽  
Vol 10 (4) ◽  
pp. 18-40
Author(s):  
Lorena Herrera López

The impulse to digitalization by telecom operators requires the commercialization of over-the-top services (OTT) based on the fine understanding and prediction of customer behaviour through pattern recognition involving big data, resulting in an essential part of web analytics and digital marketing. The objective of this research is to analyse factors influencing the purchase and use of a mobile game commercialized by a mobile network operator (MNO), through different digital marketing channels and using direct carrier billing (DCB) as payment channel. The novelty contribution of this study is twofold. Firstly, it assesses determinants related to the purchase and use of a mobile service through the analysis of variables identified in the scientific literature's review. In addition, it also incorporates a set of variables based on data retrieved from big data analytics. Secondly, this research analyses the willingness of consumers to pay through DCB.

Ekonomika ◽  
2017 ◽  
Vol 96 (2) ◽  
pp. 110-121
Author(s):  
Kęstutis Saldžiūnas ◽  
Rimvydas Skyrius

The activities of the MNO (Mobile Network Operator) feature rapid development and business model innovations; one of their principal results is the communications infrastructure that is vital for economic growth. This dynamic and changing mode of operation (modus operandi) introduces high requirements for business decisions and overall informing to maintain competitiveness. One of the principal success factors in MNO activities is the application of contemporary information technologies, in particular technologies of business intelligence and analytics. The activities of MNO create large data volumes, leading to a significant potential discovery of insights from data. As a result, MNOs have been using analytical technologies to mine large data volumes for several decades, and experience accumulation started long before the term “big data” emerged in academia and business. The growing dynamics of activities drive the efficient use of analytical experience to boost competitive advantage. The goal of this paper is to define the most important features of the use of big data analytics in MNO business and any possible related challenges.


2019 ◽  
Vol 54 (5) ◽  
pp. 20
Author(s):  
Dheeraj Kumar Pradhan

2020 ◽  
Vol 49 (5) ◽  
pp. 11-17
Author(s):  
Thomas Wrona ◽  
Pauline Reinecke

Big Data & Analytics (BDA) ist zu einer kaum hinterfragten Institution für Effizienz und Wettbewerbsvorteil von Unternehmen geworden. Zu viele prominente Beispiele, wie der Erfolg von Google oder Amazon, scheinen die Bedeutung zu bestätigen, die Daten und Algorithmen zur Erlangung von langfristigen Wettbewerbsvorteilen zukommt. Sowohl die Praxis als auch die Wissenschaft scheinen geradezu euphorisch auf den „Datenzug“ aufzuspringen. Wenn Risiken thematisiert werden, dann handelt es sich meist um ethische Fragen. Dabei wird häufig übersehen, dass die diskutierten Vorteile sich primär aus einer operativen Effizienzperspektive ergeben. Strategische Wirkungen werden allenfalls in Bezug auf Geschäftsmodellinnovationen diskutiert, deren tatsächlicher Innovationsgrad noch zu beurteilen ist. Im Folgenden soll gezeigt werden, dass durch BDA zwar Wettbewerbsvorteile erzeugt werden können, dass aber hiermit auch große strategische Risiken verbunden sind, die derzeit kaum beachtet werden.


2019 ◽  
Vol 7 (2) ◽  
pp. 273-277
Author(s):  
Ajay Kumar Bharti ◽  
Neha Verma ◽  
Deepak Kumar Verma

2017 ◽  
Vol 49 (004) ◽  
pp. 825--830
Author(s):  
A. AHMED ◽  
R.U. AMIN ◽  
M. R. ANJUM ◽  
I. ULLAH ◽  
I. S. BAJWA

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