Abstract

PurposeNowadays, customers have big chunks of information on their smartphones and can acquire information and make decisions rapidly, oftentimes with the use of specific apps. Most of the research on this topic to date has been conducted from the perspective of the provider, or the company, therefore missing the value that is created with these apps in the customer’s own domain according to the customer-dominant logic (CDL) approach.Design/methodology/approachAs compared with prior research, CDL requires a different type of research that is much more inclined towards customers and specific circumstances. This paper is positioned within CDL (Heinonen and Strandvik, 2015) and aims to quantitatively explore app usage in different customer contexts.FindingsSeven apps were tested in two different usage contexts: a social vs an individual context and a calm vs dynamic context. It was found that for the social vs individual context there was no difference; thus, managers should not pay too much attention to whether the user of the digital service is in a social context. For the calm vs dynamic social context, it was found that customers’ satisfaction, enjoyment, pleasure and their overall rating of an app were higher when the customer as in a tranquil vs dynamic context.Research limitations/implicationsThe proposed method provides a highly relevant way to approach app development from a CDL perspective.Practical implicationsThese findings provide evidence that context matters and that we should study customer behavior from a more integral and detailed perspective as has been advocated by CDL.Social implicationsApp research should incorporate a customer focused approach. This means that not only the customers’ needs need to be considered. The circumstances and context in which apps are used are highly relevant as well.Originality/valueThis research uses a CDL approach to provide evidence about the consequences for app usage and satisfaction and shows the necessity of incorporating specific circumstances, customer experience and usage variables to a larger extend than has been advocated in the past.

Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call