Present day marketing environment is characterized by large-scale
brand proliferation and ever-increasing competition. This has created confusion
in the minds of the consumers regarding what to purchase. Putrevu and Lord
(2001) contend that search and choice are directly related, hence to choose the best option
out of large set of alternatives consumers make search for information.
Information search as defined by Haines (1978) means data that induces consumer
to construct or alter an existing decision process for the relevant
product, including raw data, encoded symbols, and any other data capable
of representing reality to the decision maker. Understanding the information
search behavior of the consumer is crucial for the marketing managers for
designing effective marketing communication campaigns because it is that stage
where marketers can influence the decision-making process of consumers
(McColl-Kennedy and Fetter, 1999).
Today's consumers are hard-pressed for time. Time constraint puts a
negative effect on total information search
efforts of the consumers (Moore and Lehmann, 1980; Ratchford, 1982; Beatty
and Smith, 1987; and Urbany et al., 1996). Time constraint refers to the problem
of time availability. Time constraint occurs when people feel that they have less
time, as a result, they may not be able to do the tasks they actually want to do. The
more they face the problem of time availability, lesser they would put information
search effort. Literature exists depicting the relationship between time pressure
and information search. However, it is silent on the aspect of interrelationship
of demographic trait and time pressure. Thus the present study has tried to explore
this untouched area.
Understanding the amount of information search efforts made by different
segments of consumers is of great relevance to marketers to frame appropriate
marketing strategy for different segments as
consumers differ from one another because of
different demographic characteristics (Slama and Tashchain, 1985). A large number
of studies have analyzed the role of demographics in the process
of information search task. Newman and Staelin (1972); Claxton et al. (1974); Kiel and Layton (1981); Ratchford
(1982); and Putrevu and Lord (2001) found that education level of the consumers
influence their information search process. Moore and Lehmann (1980) and Putrevu
and Lord (2001) analyzed the role of marital status of the consumers in
information search behavior. Kiel and Layton
(1981); Ratchford (1982); Furse et al. (1984)
and Putrevu and Lord (2001) observed that age is related to the amount of
information search made. Meyers-Levy and Maheshwaran (1991) examined
the difference between the behavior of males and females at the time of buying.
Kiel and Layton (1981); Avery (1996); and Putrevu and Lord (2001) illustrated
the role of income in information search behavior of the consumers. |