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Sales of radically new products and technological innovations in
most instances depend on the development of an associated
infrastructure. Infrastructure, as utilized in this thesis, is the
development of supporting products, services and systems to capitalize
on the adoption of an innovation. Infrastructure development can
accelerate product growth, whereas its absence can hinder growth.
In this dissertation I argue that inner city markets pose a
challenge for business managers and entrepreneurs because many do not
understand how to address important social and institutional factors
that exist in these markets. Business opportunities in inner city
markets are shaped by these factors and therefore different approaches
to entrepreneurship are necessary.
The areas of Revenue Management and Supply Chain Management
represent two fundamental pillars for the management of industries that
procure and distribute consumer products. The former is concerned with
the management of the demand processes and the development of
methodologies and systems required to support this management function.
The area of Supply Chain Management is concerned with the design of a
supply process to match a given demand pattern as efficiently as
possible. It may therefore be viewed as the complement of the Revenue
Revenue management refers to the set of methods for capacity
allocation and pricing used by airlines, hotels and other industries
with fixed, perishable capacity. This thesis explores game theoretic
models for revenue management.
Nonlinear pricing schemes are present in many service industries.
However, there is relatively little empirical research that models
customers' choices of service options and their consumption decisions
in the presence of such nonlinear pricing schemes. In this
dissertation, we contribute by structurally modeling the impact of
nonlinear pricing schemes employed by services on customers' choice of
service options, their consumption patterns and their decision to stay
or defect. We focus on the wireless industry.
This thesis analyzes financial market risk premiums. I use
representative agent models to theoretically and empirically explain
various asset pricing phenomena such as the joint dynamics of stock and
bond market returns (Chapter 1) and the predictability of excess equity
returns with respect to the dividend price ratio (Chapter 2). Finally,
I use a similar model to determine the relative roles of time-varying
investor preferences and time-varying volatility in driving variation
in the equity risk premium (Chapter 3).
The first essay is about interest rate swap. Existing models of the
term structure of interest rate swap yields assume a unique regime for
the data generating process and ascribe variations in swap-Treasury
yield spread to default risk or to liquidity premium. However, the
interest rate swap market has been marked by economic events and
institutional changes that might have significant effects on the data
generating process, and thus on the relationship between the swap
spread and its determining factors. We investigate the stability of the
Results from six experiments suggest that the reliance on feelings in
judgment may involve a metacognitive assessment of whether one's
feelings should be used in the judgment. The influence of
integral (target-induced) and incidental (mood-induced) affect on
judgment was found to depend on the momentary trust that participants
had in their feelings. This trust moderated the influence of affect
when cognitive resources were available, but not when resources were
reduced. It is proposed that the reliance on feelings in judgment