The water industry acts an interface between the public and the environment
, treating waters of various qualities to make them suitable for consumptio
n or discharge. The particular technologies and products used will influenc
e environmental quality as well as the efficiency of the treatment process
itself. However the uptake of new products aimed at improving these two fun
ctions is often hampered by a lack of appreciation concerning the complexit
y of issues which influence trialing and purchase decisions. Understanding
the nature and variety of agendas which preoccupy potential technology adop
ters is arguably a significant form of knowledge for both product developer
s and, in a wider context, policy makers. This paper reports how a relative
ly simple multimethod approach has been used to generate a richer and more
informed representation of those issues which influence new technology upta
ke for four of the UK's major water utilities. Specifically, data relating
to the adoption of an aluminium based polyelectrolyte (ABP) chemical produc
t for use in wastewater treatment has been collated. Data from secondary so
urces which relate to issues which are anticipated to influence decision cr
iteria are used to establish variances in environmental, commercial and tec
hnological motivations for take-up. This element of the study demonstrates
how the criteria vary across contexts, Interviews carried out with R&D mana
gers are then used to show how individuals with responsibility for new prod
uct assessment are able to discriminate the same criteria. Expected motivat
ions are found to be a poor predictor of stated motivations. However, when
combined, these two data sets correlate well with observations of actual ad
option intentions. The study's findings are primarily applicable at the lev
el of industrial sectors where the complexity of decision issues, differing
interpretations of operating environments and uncertainty about future dev
elopments make an understanding of the motivations of product uptake proble
matic. (C) 2000 Elsevier Science Ltd. All rights reserved.