Who signs up for NFC mobile payment services? Mobile network operator subscribers in Germany
Introduction
Since the introduction of the first payment systems making use of cellular mobile communication network elements and devices in the early 1990s, a plethora of such offerings has emerged on the market. Most of the early mobile payment system (MPS) variants required a radio connection between the customers’ devices and their mobile network operator (MNO) in order to receive or send a text message, a voice call or other data, respectively. This requirement is unfortunate because establishing a radio link is not always possible (due to network coverage gaps) and may consume considerable time. Therefore, new so-called proximity-based MPS solutions were developed. They enable MNO customers to use their device to pay without a radio connection to a mobile communication network. One variant of this class of MPS are near field communication (NFC) solutions (Ovum, 2016; see Fig. 1 below). They trigger payments by simply placing an NFC-enabled device at a distance of 10 cm or less to a seller’s NFC terminal at a point of sale (POS) as long as the transaction value is below a country-specific threshold.1 Many MNOs offer NFC MPS in collaboration with a financial institution. Accordingly, MNOs act as an intermediary which provides banks with access to potential NFC payment service users. Typically, MNOs receive a fixed and/or a usage-dependent monthly fee per adopter. Therefore, running a NFC MPS is a potential source of new revenues for MNOs. In addition, the spread of NFC payment services among an MNO’s subscriber base may prevent its customers from churning (Reuver et al., 2015).
Worldwide, by end-2014 about 2 million smartphone owners had used their device at least once a month to make contactless NFC in-store payments at retail outlets. One year later this number already amounted to more than 31 million (Deloitte, 2015). Various market analysts agree that the proliferation of NFC MPS will continue to grow rapidly in the near future (e.g., Juniper Research, 2016, Ovum, 2016, Trendforce, 2016). However, to date, the use of MPS in general and NFC MPS in particular is still a niche application (Ovum, 2016). For Germany, which is the country setting of the present study, several reports also predict a speedy diffusion of NFC payment (e.g., Herrmann, 2016, PWC, 2014, PWC, 2016, Verifone, 2016). But in stark contrast to the “bright” forecasts, by the end of 2015 less than 4% of the 82 million people living in Germany had used their mobile devices at least once for an NFC-based mobile payment (Deloitte, 2016). Three country-specific reasons can be taken to explain prior low adoption rates: Firstly, at the end of 2015 merely 6.5% of the total of 108 million active mobile communication devices in Germany were NFC-enabled (Verifone, 2016). Secondly, in late 2015 only 10% (= 80,000) of all POS terminals in Germany were able to process payments via NFC (Bitkom, 2016). Thirdly, a majority of 53% of retail consumers in Germany still preferred cash to alternative means of payment (Bundesbank, 2015). This environment creates substantial challenges for NFC MPS suppliers in promoting the take-up of such offerings. Therefore, it is pivotal for NFC MPS providers to adequately identify consumers who are most likely inclined to start using NFC payment services as well as their counterparts who require extraordinary measures to lure them into MPS subscriptions.
Against this background, it comes as a surprise that no earlier empirical work has explored how MNO customers who have “really” adopted an NFC MPS offer of their carrier (i.e., are characterized by observable use behaviors instead of stated intentions to use/behave) differ with respect to objectively recordable personal characteristics, which are anyway at hand in an MNO’s data warehouse. Therefore, the present study contributes toward closing this research gap by examining NFC payment adoption in a sample of 1354 postpaid MNO subscribers residing in Germany. Adoption is captured as a two-facet phenomenon. Its first facet entails MNO subscribers’ (yes or no) decision to start using the NFC MPS in a study period from July 2014 to May 2015. The second facet concerns the timing of adopters’ use start during the study period (i.e., whether the first use occurred earlier or later). For both criteria we examine the extent to which socio-demographic, device- and usage-related characteristics as well as supply-side factors are able to predict them.
The remainder of this article is divided into five sections. The next section introduces variants of MPS. Section 3 reviews the relevant literature to develop hypotheses and research questions. Section 4 describes the empirical methods. Section 5 presents the empirical results. The last section highlights implications for both MNO practitioners in charge of improving the acceptance of NFC MPS among their employer’s customers and management scholars in the field of innovative MPS.
Section snippets
Background: Variants of mobile payment systems
To adequately discuss the literature on MPS adoption, an overview of available MPS solutions is helpful to better understand nuances regarding the underlying communication technologies, the category of goods which can be paid through an MPS and the processes buyers have to go through to settle payments (Au and Kauffman, 2008, Dahlberg et al., 2015, Dahlberg et al., 2008, Dennehy and Sammon, 2015, Patel et al., 2015, Slade et al., 2013, Taylor, 2016).
As shown in Fig. 1, MPS can be classified
Review of extant NFC payment use research
Proximity MPS studies either examine MNO customers’ decision to start using proximity payment systems in general or NFC payment in particular. Table 1 profiles pertinent prior empirical publications.
In terms of theoretical frameworks, the large majority of earlier work applies a narrow set of lenses, namely theory of reasoned action (TRA; Fishbein and Ajzen, 1975), technology acceptance model (TAM; Davis, 1989), diffusion of innovation theory (DOI; Rogers, 2003) and unified theory of acceptance
Sample generation
The data set underlying the empirical analysis was gained from the customer information and billing system of the German subsidiary of a large MNO running cellular networks in about 15 countries. The firm controls a nationwide 2G cellular network in Germany since the early 1990s, a 3G network for 15 years and is currently completing the roll-out of a 4G/LTE infrastructure in this country. The MNO supported our research by granting us access to data of an anonymous random sample of 264,679
Empirical results
Table 4 shows unstandardized coefficients of the Probit regression with the binary adoption measure as the criterion and the OLS regression as well as the negative binomial count regressions, each with adoption timing as the dependent variable. The Probit analysis reveals seven statistically significant (p ≤ 0.05) coefficients (see predictors #1–3, #7–10 in column “Probit” of Table 4). The Probit likelihood ratio χ2 amounts to 480.54 (df = 10; p ≤ 0.001). Hence, the overall fit of the Probit model
Discussion and implications
This paper analyzes correlates (1) of the basic decision to use NFC MPS in a sample of 1354 residential postpaid subscribers of an MNO in Germany and (2) of the timing of the use start among 677 MPS adopters in a 12-months period. A key factor differentiating the present study is that we focused on “real” NFC MPS use behavior of MNO customers whereas many prior investigations looked at behavioral use intentions which may or may not lead to actual use of a MPS. We found that the likelihood of
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