Language:
English
繁體中文
Help
Login
Back
Switch To:
Labeled
|
MARC Mode
|
ISBD
Big Data to Improve Strategic Networ...
~
SpringerLink (Online service)
Big Data to Improve Strategic Network Planning in Airlines
Record Type:
Language materials, printed : Monograph/item
Title/Author:
Big Data to Improve Strategic Network Planning in Airlines/ by Maximilian Schosser.
Author:
Schosser, Maximilian.
Description:
XXVII, 462 p. 87 illus., 8 illus. in color.online resource. :
Contained By:
Springer Nature eBook
Subject:
Business logistics. -
Online resource:
https://doi.org/10.1007/978-3-658-27582-2
ISBN:
9783658275822
Big Data to Improve Strategic Network Planning in Airlines
Schosser, Maximilian.
Big Data to Improve Strategic Network Planning in Airlines
[electronic resource] /by Maximilian Schosser. - 1st ed. 2020. - XXVII, 462 p. 87 illus., 8 illus. in color.online resource. - Schriftenreihe der HHL Leipzig Graduate School of Management. - Schriftenreihe der HHL Leipzig Graduate School of Management.
Introduction, Methodology, and Theoretical Foundations of Strategic Network Planning in Airlines -- Status Quo of Strategic Network Planning in Airlines -- Big Data Opportunities for Airline Network Planning -- Financial Impact of Big Data for Airline Network Planning.
Big data has become an important success driver in airline network planning. Maximilian Schosser explores the status quo of network planning across a case study group consisting of nine airlines representing different business models. The author describes 23 big data opportunities for airline network planning and evaluates them based on their specific value contribution for airline network planning. Subsequently, he develops a financial evaluation methodology for big data opportunities based on key performance indicators for airline network planning departments. Contents Introduction, Methodology, and Theoretical Foundations of Strategic Network Planning in Airlines Status Quo of Strategic Network Planning in Airlines Big Data Opportunities for Airline Network Planning Financial Impact of Big Data for Airline Network Planning Target Groups Researchers and students in the fields of logistics, business information systems, and business administration Practitioners in the fields of logistics, network planning, and airlines The Author Maximilian Schosser completed his doctoral dissertation under the supervision of Prof. Dr. Iris Hausladen at the Heinz-Nixdorf Chair for IT-based Logistics at HHL Leipzig Graduate School of Management, Germany. He works as a management consultant and focuses on digitization and analytical topics in the transportation and logistics sector. His core field of expertise is the deployment of big data analytics in commercial and operational processes. .
ISBN: 9783658275822
Standard No.: 10.1007/978-3-658-27582-2doiSubjects--Topical Terms:
562973
Business logistics.
LC Class. No.: HD38.5
Dewey Class. No.: 658.5
Big Data to Improve Strategic Network Planning in Airlines
LDR
:03170nam a22003975i 4500
001
1023877
003
DE-He213
005
20200705091219.0
007
cr nn 008mamaa
008
210318s2020 gw | s |||| 0|eng d
020
$a
9783658275822
$9
978-3-658-27582-2
024
7
$a
10.1007/978-3-658-27582-2
$2
doi
035
$a
978-3-658-27582-2
050
4
$a
HD38.5
072
7
$a
KJMV
$2
bicssc
072
7
$a
BUS087000
$2
bisacsh
072
7
$a
KJMV9
$2
thema
082
0 4
$a
658.5
$2
23
100
1
$a
Schosser, Maximilian.
$e
author.
$4
aut
$4
http://id.loc.gov/vocabulary/relators/aut
$3
1319921
245
1 0
$a
Big Data to Improve Strategic Network Planning in Airlines
$h
[electronic resource] /
$c
by Maximilian Schosser.
250
$a
1st ed. 2020.
264
1
$a
Wiesbaden :
$b
Springer Fachmedien Wiesbaden :
$b
Imprint: Springer Gabler,
$c
2020.
300
$a
XXVII, 462 p. 87 illus., 8 illus. in color.
$b
online resource.
336
$a
text
$b
txt
$2
rdacontent
337
$a
computer
$b
c
$2
rdamedia
338
$a
online resource
$b
cr
$2
rdacarrier
347
$a
text file
$b
PDF
$2
rda
490
1
$a
Schriftenreihe der HHL Leipzig Graduate School of Management
505
0
$a
Introduction, Methodology, and Theoretical Foundations of Strategic Network Planning in Airlines -- Status Quo of Strategic Network Planning in Airlines -- Big Data Opportunities for Airline Network Planning -- Financial Impact of Big Data for Airline Network Planning.
520
$a
Big data has become an important success driver in airline network planning. Maximilian Schosser explores the status quo of network planning across a case study group consisting of nine airlines representing different business models. The author describes 23 big data opportunities for airline network planning and evaluates them based on their specific value contribution for airline network planning. Subsequently, he develops a financial evaluation methodology for big data opportunities based on key performance indicators for airline network planning departments. Contents Introduction, Methodology, and Theoretical Foundations of Strategic Network Planning in Airlines Status Quo of Strategic Network Planning in Airlines Big Data Opportunities for Airline Network Planning Financial Impact of Big Data for Airline Network Planning Target Groups Researchers and students in the fields of logistics, business information systems, and business administration Practitioners in the fields of logistics, network planning, and airlines The Author Maximilian Schosser completed his doctoral dissertation under the supervision of Prof. Dr. Iris Hausladen at the Heinz-Nixdorf Chair for IT-based Logistics at HHL Leipzig Graduate School of Management, Germany. He works as a management consultant and focuses on digitization and analytical topics in the transportation and logistics sector. His core field of expertise is the deployment of big data analytics in commercial and operational processes. .
650
0
$a
Business logistics.
$3
562973
650
0
$a
Management information systems.
$3
561123
650
1 4
$a
Logistics.
$3
643936
650
2 4
$a
Business Information Systems.
$3
669204
710
2
$a
SpringerLink (Online service)
$3
593884
773
0
$t
Springer Nature eBook
776
0 8
$i
Printed edition:
$z
9783658275815
776
0 8
$i
Printed edition:
$z
9783658275839
830
0
$a
Schriftenreihe der HHL Leipzig Graduate School of Management
$3
1265459
856
4 0
$u
https://doi.org/10.1007/978-3-658-27582-2
912
$a
ZDB-2-BUM
912
$a
ZDB-2-SXBM
950
$a
Business and Management (SpringerNature-41169)
950
$a
Business and Management (R0) (SpringerNature-43719)
based on 0 review(s)
Multimedia
Reviews
Add a review
and share your thoughts with other readers
Export
pickup library
Processing
...
Change password
Login