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This work is devoted to the question of how managers can
successfully probe latent needs and uncover future needs of
customers, labeled as proactive customer orientation. To answer this
question, three stages of research are deployed: (1) An exploratory
study investigating two different dimensions of proactive customer
orientation, (2) a quantitative study investigating consequences,
antecedents, and factors that moderate the effects of proactive
customer orientation, and (3) a qualitative study investigating
situation-specific recommendations on how to increase proactive
customer orientation.
First, based on an observation of specialized proactive
customer-oriented departments, expert interviews, workshops with
managers, and a meta-analysis of existing research, two dimensions
of proactive customer orientation are defined, proactive
customer-oriented climate and proactive customer-oriented processes.
New scales are developed for the two constructs, and the
reliability, validity, and generalizability of the second-order
measurement models are supported by an empirical study of 218
business-to-business firms and 202 business-to-consumers firms.
Second, detailed research hypotheses are developed and tested with
a cross-industry sample of 420 key informants, 82 additional
informants, and 51 customers. Using structural equation modeling and
hierarchical regression, the empirical results support that
proactive customer-oriented climate and proactive customer-oriented
processes are positively related with exploratory innovation and
exploitative innovation, customer value, and superior business
performance. Furthermore, four organizational values are identified
as antecedents of proactive customer orientation, and several
organizational characteristics moderate the relative importance of
climate and processes for innovation, customer value, and
performance.
Third, a systematic change process is developed to guide managers
that aim to increase their company's proactive customer orientation.
More specifically, a four-step process is recommended to
successfully probe latent needs and uncover future needs of
customers and introduce market-based innovations. However, a cluster
analysis revealed different market-based innovation strategies.
Typical firms for each strategy are described and situation-specific
recommendations regarding resource allocation are given.
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