Is there early take-off phenomenon in diffusion of IP-based telecommunications services?☆
Introduction
One of the typical characteristics of networked industry, network externality, is defined as a quality of certain goods and services such that they become more valuable to a user as the number of users increases [1]. In the case of telecommunications services such as telephone, FAX, and the Internet, the utility of the existing subscribers increases as new subscribers are added to the network [2], [3], [4]. This is called positive network externalities or the “network effect,” and it is believed positive network externalities affect the rate of adoption [1], [3], [5].
Alongside network externalities, another distinctive feature shown in the diffusion of telecommunications services is the existence of a critical mass. Critical mass is defined as the minimal number of adopters of an interactive innovation for the further rate of adoption to be self-sustaining [6]. Considering the purpose of telecommunications services is to connect people so that they can communicate with each other, it is crucial for telecommunications service provider to reach critical mass [7]. Thus, the existence of critical mass, combined with network externalities, affects the diffusion pattern of telecommunications services. That is, a telecommunications service diffuses slowly in the early stage of diffusion, and the diffusion speeds up once critical mass is reached [8]. This is called late take-off phenomenon since the take-off time of telecommunications services occurs later than that of durable goods. The presence of critical mass and the resulting late take-off phenomenon give telecommunications service providers an important strategic implication. For example, through empirical research on the French PTT's Minitel, a videotext service that was successfully introduced, Allen [2] suggested that promotion strategies such as subsidized pricing and free trials of services in the introduction stage were critical for Minitel's success.
However, as telecommunications networks evolve from circuit switching to packet switching, enabling diverse new services such as Internet provision services like ADSL, cable modem Internet access service and Internet lease line service, and Internet application services like Internet banking and web hosting and so on, these traditional diffusion patterns are changing. In this paper we investigate the diffusion patterns of new IP (Internet Protocol)-based telecommunications services as a pilot study, and conclude that diffusion patterns of new services are quite different from those of old services, at least in the Korean Internet industry.
The paper is arranged as follows. In Section 2, we review previous research related to network effects and critical mass in the diffusion of interactive innovations which cause the “late take-off” phenomenon. In Section 3, we identify the “late take-off” phenomenon in the diffusion process of traditional telecommunications services in comparison with those of durable goods with the Bass diffusion model. In Section 4, we analyze new diffusion patterns of IP-based services and compare them with diffusion patterns of old circuit-based services and examine some factors triggering the “early take-off” phenomenon of IP-based services. Finally, in Section 5, under the “early take-off” phenomenon of IP-based services, we discuss the implications for telcos and ISPs and suggest further research, considering the limitations of our study.
Section snippets
The network effect and critical mass in diffusion of interactive innovations
The “network effect” (or network externalities) is the notion that describes the positive external consumption effect in the utility of network goods such as telecommunications services, in which the fundamental raison d’etre is to connect people [2], [3], [8], [9], [10]. The key reason for the appearance of network externalities is complementarity between the components of a network [11]. In order to better understand the network effect, it may be helpful to discern the distinction between
Take-off time in diffusion of innovation
Diffusion is the process in which an innovation is communicated through certain channels over time among the members of a social system [6]. Models for diffusion of innovations have been developed under various assumptions and have been applied to the empirical analysis of diffusion. Fourt and Woodlock [13] created the exponential model in which the diffusing speed is determined by the number of non-purchasers in a social system. While the exponential model simply incorporates the procedure
Circuit-based vs. IP-based telecommunications services
Telecommunications network is divided into three major parts: customer premises equipment (CPE), local loop, and the backbone network. CPEs are user terminals such as telephone, PC, FAX, and cell phone. Local loop is the subscriber line connecting CPEs to a backbone network. The backbone network interconnects the local loops and is located at the center of telecommunications network (see Fig. 3). There are two types of backbone networks in terms of switching technology: the circuit switching
Country-specific factors in the rapid diffusion of IP-based services
Besides some reasons that we examined previously on the rapid diffusion of IP-based services, we believe that Korean country-specific factors also made a considerable effect on the diffusion of those services. We examine these factors from three perspectives: political, economic and socio-cultural perspective.
The Korean government strongly believes that knowledge and information is the source of its national competitiveness in the global world, and so they are developing and introducing a
Concluding remarks
It is traditionally believed the diffusion pattern of telecommunications services is affected by network effects and critical mass, which results in the “late take-off” phenomenon. For this reason, telecommunications services providers have undertaken huge marketing efforts, such as the free trial of services and subsidies to terminal devices, to reach critical mass as early as possible. However, with the evolution of telecommunications networks, proliferation of IT services on IP-based
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This work was supported by Hankuk University of Foreign Studies Research Fund.