117 construal-level theory
construal-level theory
DESCRIPTION
A theory proposing that individuals use more abstract and global mental mod-
els to represent information about distant future events and more concrete
and local mental models to represent information about near future events.
KEY INSIGHTS
Construal-level theory (CLT), as developed in research by Trope and
Liberman (2000, 2003), suggests that the spatial or temporal distance
of social objects or events influences how individuals represent such
objects or events. Specifically, when evaluating spatially distant events,
CLT suggests that individuals will tend to use more central, abstract,
and global features (i.e. high-level construals), and when evaluating near
events, individuals will tend to use more peripheral, concrete, and local
features (e.g. low-level construals). Supporting the theory is the view that
removing an individual from the direct experience of an event makes
information about the event less available and reliable, thereby leading
individuals to rely more on prototypical information. When individuals
use abstract mental models to characterize information concerning a
distant event, they rely on general, superordinate, and essential features
of the event. On the other hand, when individuals use concrete mental
models to characterize information concerning a near event, they rely on
contextual and incidental features of the event.
KEY WORDS Temporality, spatial distance
IMPLICATIONS
Marketers seeking to understand temporal influences on consumer
behavior, such as how time can influence consumer evaluations of a new
product for possible adoption, can benefit from a deeper knowledge of
construal-level theory in that they may potentially be able to identify
and predict systematic temporal influences on consumer behavior. In the
context of consumer evaluation of new products or services, for example,
it is found that, when thinking of using a new product in a distant future,
consumers tend to put more weight on the benefits and less on the cost,
or hassles, of using the new product. CLT, therefore, suggests important
implications for marketers including the timing of market research and
time-based advertising strategies.
APPLICATION AREAS AND FURTHER READINGS
Marketing Strategy
Ziamou, Paschalina, and Veryzer, Robert W. (2005). ‘The Influence of Temporal
Distance on Consumer Preferences for Technology-Based Innovations,’ Journal of
Product Innovation Management, 22(4), July, 336.
Lynch, John G., Jr., and Zauberman, Gal (2006). ‘When Do You Want It? Time,
Decisions, and Public Policy,’ Journal of Public Policy & Marketing, 25, Spring, 67–
78.
Marketing Research
Bonoma, Thomas V. (1985). ‘Case Research in Marketing: Opportunities, Problems,
and a Process,’ Journal of Marketing Research, 22(2), May, 199–208.