Motivational Drivers for Early Adoption of Management Accounting Innovations among Incompatible Organisations: When Organisational Culture and Innovation Characteristics Do Not Fit
Abstract
Previous research has not been able to uncover what motivates incompatible
organisations to adopt a management accounting innovation (MAI) in the
early stages. In this study we investigate early adoption and the motivational
drivers among four organisations that, by not having the same values and
beliefs as those inherent in the MAI, are considered to be incompatible.
Drawing on existing theory, we develop a conceptual framework that
illustrates the process these incompatible early adopters go through when
deciding to adopt the MAI. It is examined with a qualitative approach, to give
a more detailed perspective of the process, through conducting interviews
with individuals involved in the decision. The study identifies two
motivational drivers that explain this incompatible adoption in the early stage
of the diffusion. Firstly, the existence of a superordinate objective in the
organisation that overshadows the implementation of the current MAI and
where the MAI rather works as a mean to reach the superordinate objective.
Secondly, the entrance of a new individual into the organisation brings
existing knowledge and prior experience with the MAI which disrupts the
incompatible culture. The adoption in the early stage is explained by the lack
of theorisation in the diffusion process, whereupon the organisations are
capable of customising the MAI to fit with present needs in the organisation.
By uncovering these two motivational drivers, this study is able to give an
understanding to a previously unexplained incompatible early adoption.
Degree
Master 2-years
Other description
MSc in Accounting
Collections
View/ Open
Date
2018-07-02Author
Andersson, Josefin
Larsson, Hannes
Keywords
Adoption
Early adoption
Diffusion
Management accounting innovations
Balanced Scorecard
New-institutional theory
Incompatibility
Organisational culture
Innovation-decision process
Series/Report no.
Master Degree Project
2018:17
Language
eng