Determinants of customer acceptance for mobile data services: an empirical analysis with formative constructs

Abstract

Despite all forecasts, innovative mobile data services are not yet widespread. The aim of this research is to explain what influences customer acceptance and usage of mobile data services. For this purpose, we develop a structural equation model. To gain a maximum insight into the reasons for acceptance or rejection of mobile data services, we operationalise our model mainly with formative constructs. The model is validated with data from Europe's largest mobile market, Germany. We show that perceived usefulness of any b2c mobile data service highly depends on perceived enjoyment – which for instance explains the high acceptance of iPhone applications compared to others. Our results allow not only for a better understanding of the underlying customer behaviour but also for concrete recommendations on the design of mobile data services.

Cite this work

No public copy is stored for this record, so only the metadata is cited.

Stored only when both papers are in the corpus — 26 citations exist upstream.

Papers that cite the same references — the relational fallback while embeddings are still backfilling.