SMS Use Intensity Changes in the Age of Ubiquitous Mobile Internet Access: A Two-Level Investigation of Residential Mobile Communications Customers in Germany

SMS Use Intensity Changes in the Age of Ubiquitous Mobile Internet Access: A Two-Level Investigation of Residential Mobile Communications Customers in Germany

Torsten J. Gerpott
DOI: 10.4018/978-1-4666-9787-4.ch104
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Introduction

Since the first trials in 1992 the Short Message Service (SMS) provided by MNO has changed the way people communicate. Market researchers estimate that in 2014 the number of SMS delivered globally per day amounted to about 21 billion (Deloitte, 2014). However, in the recent past the massive proliferation of so-called smartphones with browsers, which enable consumers to conveniently access Internet services via data networks of MNO and with the capability to run software applications downloaded with the help of telecommunication networks has drastically changed the demand prospects for SMS. In particular, downloadable over-the-top (OTT) messaging applications, such as WhatsApp or Facebook-Messenger in Europe and the US, WeChat in China or KakaoTalk in South Korea are portrayed as better surrogates of the old-fashioned SMS (Mäkinen, Luukkainen, & Karikoski, 2014; Nikou, Bouwman, & Reuver, 2012; Ogara, Koh, & Prybutok, 2014).

Rio & Malik (2013, p. 7) estimate that the worldwide loss in revenues of MNO in 2014 due to the substitution of SMS by various MI services amounted to 21 billion USD. Against this background, it is suggested that SMS and MI services in general and mobile instant messaging applications in particular are close substitutes (Mäkinen et al., 2014). Many analysts conclude that the SMS era will irretrievably end in the short- to mid-term future (Rio & Malik, 2013). For MNO this view implies that hardly any further resources ought to be invested in the development of SMS pricing concepts and SMS sales strategies.

However, this conclusion could be too superficial because aggregate statistics may mask SMS and MI use change patterns, which are distinct in various customer groups. Observed overall decreases in SMS volume may largely stem from a small number of customers who were very heavy SMS users in the past and who exchanged SMS for MI services. This means that the SMS volume of a considerable number of customers has remained fairly constant or even increased in spite of the diffusion of smartphone-based Internet access. Empirical evidence testing this alternative position is scarce. Therefore, the first purpose of the present investigation is to examine the extent to which changes in MI use intensity explain variance in SMS volume shifts over a longer time period at the level of the individual MNO subscriber. Second, it seeks to explore whether customer characteristics (e.g., gender, contract tenure with current MNO) moderate the relationship between MI and SMS use intensity changes.

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Conceptual Background And Research Questions

The limited literature on demand interdependencies between various types of (mobile) communication services contains three lines of argumentation.

First, authors highlight that customers have a limited amount of money and time to spend on communication services. Given these resource constraints it is proposed that the allocation of additional outlays to one service category is compensated by a reduction in spending for other services with similar functionalities (Ghose & Han, 2011; Xu, Forman, Kim, & Ittersum, 2014). Consumers are especially incentivized to switch from SMS to MI (messenger) services if the marginal cost of MI use is zero due to the subscription to a MI flat price scheme and if SMS charges are based on metered rate plans (Gerpott, Thomas, & Weichert, 2014; Rio & Malik, 2013). Similarly, in case that the overall time budget of consumers for telecommunication activities is, on the whole, largely fixed and if consumers perceive the functionalities of innovative MI services to resemble or outperform those of the established SMS, increasing MI use should substitute earlier demand for SMS. The “service selection under resource constraints” view suggests that rising MI usage leads to shrinking SMS activity.

Key Terms in this Chapter

Multilevel Modeling (MLM): Statistical models of parameters where the data are hierarchically structured. In longitudinal MLM the lowest level of analysis is constituted by measurements of an observation unit (e.g., a person) at specific points in time (occasions). These measurements are nested within the observation units, which equate the higher level of analysis.

Over-the-Top (OTT) Instant Messaging: Software-based exchange of messages between devices connected to cellular mobile communication networks without the direct involvement of a mobile network operator. OTT messaging services (e.g., WhatsApp or Facebook-Messenger in Europe and the US, WeChat in China, KakaoTalk in South Korea or Line in Japan) are provided by a third party.

Smartphone: Radio-based consumer telecommunication appliance with a browser which makes it possible to conveniently access the Internet and its services via data networks of mobile network operators and with the capability to run software applications downloaded with the help of wireless or wired telecommunication networks.

Mobile Internet: Packet-switched and Internet Protocol-(IP-)based Internet access through nationwide advanced cellular communication networks via various portable appliance categories.

Service Complementarity: Services that are bought in combination with other services (e.g., hotel stay and air travel) because the benefits of procuring/using several offerings in a concerted manner exceed the sum of the benefits derived from an uncoordinated service acquisition and use.

Service Substitution: A service that satisfies the same needs of a customer that another service also fulfills and therefore can be replaced by the other offering.

Short Message Service (SMS): A telecommunication service using standardized protocols to allow mobile access or fixed line devices to exchange messages of limited size (initially 160 characters) with the help of nationwide cellular radio networks.

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