Post-adoption modeling of advanced mobile service use
Introduction
“The sky is the limit” appears to describe the current context for service delivery. Technological advances allow electronic delivery of many traditional services through various media, including self-service kiosks (e.g., ATM machines) and the internet (e.g., airline ticket purchase). Such technology-mediated services transpire with limited service provider intervention creating effective and efficient service delivery—often better than traditional service delivery involving physical contact with the service provider. Mobile telecommunication's rapid changes allow many companies to extend service delivery to mobile channels, offering services which customers can access through their mobile devices (Dholakia & Dholakia, 2004). Continuously accessible, such services potentially will permeate and support daily activities, especially in today's time-deprived environment.
This study focuses on ubiquitous mobile services, known as advanced mobile services (AMS), widely available in the marketplace. AMS are any services beyond voice calls and short messaging services, accessible from mobile devices, enabling customers to communicate with other parties, seek pleasure, perform transactions, and obtain information (Varshney & Vetter, 2002). These services include mobile e-mail, mobile chat, mobile games, mobile TV, and mobile banking, among others. Mobile service providers seem optimistic about customer acceptance and future development of AMS. However, market analysis indicates that the actual use is still far from reaching market potential (Constantiou, 2009). This situation represents a paradox. On one hand, customers undoubtedly feel strong attachment to their mobile devices (Wilska, 2003). They have full control of selecting service type and deciding when and where to use the services. On the other hand, these sophisticated services have a low penetration rate. Consequently, investigating the underlying drivers of actual AMS use is crucial for service providers to better formulate their service marketing strategy and to devise specifically tailored marketing strategies to convert non-adopters to adopters. Furthermore, such investigation can provide insights into factors that service providers might leverage to promote effective and ongoing AMS use.
This study extends research exploring customer intention to use AMS (Lu et al., 2008, Mallat et al., 2009) by examining how customers' actual experience with such service consumption shapes their usage behavior. More specifically, this study's purpose is to develop a conceptual framework of AMS use in the post-adoption context. The proposed framework considers service ubiquity's role in enhancing customers' experiential value by exploring intrinsic and extrinsic motivations of such service consumption. Previous researchers treat the influencing factors of mobile service adoption separately; however, this investigation asserts that intrinsic and extrinsic service use motivations occur simultaneously and require concurrent evaluation. This study examines the influence of experiential value and customer satisfaction on actual service use as well as how business and leisure customers use AMS differently.
Section snippets
Theoretical background
Fig. 1 presents the study's conceptual framework, showing the hypothesized relationships between the constructs. Mobile services are more attractive than current online services due to service ubiquity, a unique characteristic exclusive to the mobile environment (Figge, 2004). This critical service attribute essentially allows customers to use AMS anytime and anywhere, offering businesses greater access to their customers. Consequently, the experiential value encountered by customers when using
Data collection procedure and sample characteristics
The data for this study came from an online panel of Australian customers. As the study focuses on the use of AMS in the post-adoption context, only those who had been using AMS for at least six months and were still using these services, were eligible to complete the questionnaire. Six months of use seems sufficient time to familiarize customers with mobile service applications and consequently to actualize their use motivations. Panel members provided 603 usable responses, of which 50.4% were
Test of measurement model
Development of a measurement model of the constructs preceded testing of the hypotheses, and confirmatory factor analysis assessed the psychometric properties of the measures. We utilized AMOS 17.0 and the maximum likelihood approach was chosen as the model estimation method. Running the model led to exclusion from further analysis of two items with a low loading on their factors. All fit indices fall within the recommended values: χ2(384) = 764.23, p < 0.001; GFI = .92; AGFI = .91; CFI = .96; TLI = .95
Discussion
This study develops a conceptual framework that improves the understanding of antecedents and the drivers of actual use of AMS. The proposed model extends current research in related areas in two ways.
First, the study investigates service ubiquity and examines its effect on actual service use through motivational usage beliefs, experiential value, and customer satisfaction. Second, unlike current studies, which generally interpret the effect of relevant influencing factors on individual
Limitations and future research
Despite the findings and contributions of this study, some limitations apply. First, sample respondents constituted a convenience sample, a factor that may restrict the generalizability of the findings. A related aspect is that the sample came from a single country, which implies that replication in a cross-national setting might be useful. Second, this study assumes that AMS in general have both extrinsic and intrinsic elements, and does not differentiate between various types of AMS.
References (48)
- et al.
Hedonic and utilitarian motivations for online retail shopping behavior
J Retailing
(2001) Consumer behaviour in the mobile telecommunications' market: the individual's adoption decision of innovative services
Telematics and Inform
(2009)- et al.
Assessing the effects of quality, value, and customer satisfaction on consumer behavioral intentions in service environments
J Retailing
(2000) - et al.
Mobility and markets: emerging outlines of m-commerce
J Bus Res
(2004) Insufficient discriminant validity: a comment on Bove, Pervan, Beatty, and Shiu (2009)
J Bus Res
(2010)Situation-dependent services—a challenge for mobile network operators
J Bus Res
(2004)- et al.
Hedonic and utilitarian shopping value: investigating differential effects on retail outcomes
J Bus Res
(2006) - et al.
Value-based adoption of mobile internet: an empirical investigation
Dec Support Systems
(2007) - et al.
An assessment of value creation in mobile service delivery and the moderating role of time consciousness
J Retailing
(2007) - et al.
How quality, value, image, and satisfaction create loyalty at a Chinese telecom
J Bus Res
(2009)
Acceptance of Internet-based learning medium: the role of extrinsic and intrinsic motivation
Inf Manage
An examination of the determinants of customer loyalty in mobile commerce contexts
Info Manage
An assessment of advanced mobile services acceptance: contributions from TAM and diffusion theory models
Info Manage
Determinants of accepting wireless mobile data services in China
Info Manage
The impact of use context on mobile services acceptance: the case of mobile ticketing
Info Manage
Experiential value: conceptualization, measurement, and application in the catalog and internet shopping environments
J Retailing
Examining the effects of information system characteristics and perceived usefulness on post adoption usage of information systems
Info Manage
Trust factors influencing virtual community members: a study of transaction communities
J Bus Res
Predicting and understanding consumer behavior: attitude–behavior correspondence
Gendered perceptions of experiential value in using web-based retail channels
Eur J Mark
International students travel behavior: a model of the travel-related consumer/dissatisfaction process
J Travel and Tourism Mark
Work and/or fun: measuring hedonic and utilitarian shopping value
J Consum Res
Understanding information systems continuance: an expectation–confirmation model
MIS Q
Structural equation modeling with AMOS: basic concepts, applications, and programming
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