TO DOWNSIZE OR NOT DOWNSIZE WITHIN THREE AIRLINE CARRIERS
ANALYZING THE WINNERS AND LOSERS BASED ON THE FINANCIAL OUTCOMES
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This study analyzes the relationships between downsizing and various financial and operational outcome variables among three airline carriers. Examines the airlines that were selected due to a large volume of international and regional flight departures, the varying characteristics of the airlines in terms of size, niche, and performance, and the availability of the secondary data for analysis.Provides archival data were collected from various sources covering a time period. Delves a parallel autoregressive time series analyses were conducted for the three airlines in which the outcome variabl...
This study analyzes the relationships between
downsizing and various financial and operational
outcome variables among three airline carriers.
Examines the airlines that were selected due to a
large volume of international and regional flight
departures, the varying characteristics of the
airlines in terms of size, niche, and performance,
and the availability of the secondary data for
analysis.
Provides archival data were collected from various
sources covering a time period.
Delves a parallel autoregressive time series
analyses were conducted for the three airlines in
which the outcome variables were modeled as
functions of the number of employees and an
autoregressive effect, allowing for the
incorporation of the serial dependence of the
outcome variable values.
Presents one model that was examined for each of the
six dependent measures and each of the three
airlines, for a total of 18 models.
downsizing and various financial and operational
outcome variables among three airline carriers.
Examines the airlines that were selected due to a
large volume of international and regional flight
departures, the varying characteristics of the
airlines in terms of size, niche, and performance,
and the availability of the secondary data for
analysis.
Provides archival data were collected from various
sources covering a time period.
Delves a parallel autoregressive time series
analyses were conducted for the three airlines in
which the outcome variables were modeled as
functions of the number of employees and an
autoregressive effect, allowing for the
incorporation of the serial dependence of the
outcome variable values.
Presents one model that was examined for each of the
six dependent measures and each of the three
airlines, for a total of 18 models.
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