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Preparing for Airport Collaborative Decision Making (A-CDM) implementation: an evaluation and recommendations
KTH, School of Industrial Engineering and Management (ITM), Industrial Economics and Management (Dept.), Industrial Management.
KTH, School of Industrial Engineering and Management (ITM), Industrial Economics and Management (Dept.), Industrial Management. Universidad Politécnica de Madrid (UPM), Spain .ORCID iD: 0000-0001-6887-6859
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2015 (English)In: Cognition, Technology & Work, ISSN 1435-5558, E-ISSN 1435-5566, Vol. 17, no 2, 207-218 p.Article in journal (Refereed) Published
Abstract [en]

The key objective of this paper was to report on one of the industrial-based change case studies of the MASCA project (MAnaging System Change in Aviation-EU FP7, 2010-2013 ). This case study provides a systematic insight into one airport's approach to their preparation for full implementation of Airport Collaborative Decision Making (A-CDM). An action-based methodological approach was applied over a 3-year period, and a particular focus of this paper is on the application of the MASCA system change and operational evaluation tool (SCOPE/Structured Enquiry). Key recommendations resulted in research-led interventions, such as the development of a Serious Game to facilitate co-ordination and communications. The paper also reports on future recommendations for the implementation of A-CDM, such as prioritising social relations and trust building amongst airport stakeholders as opposed to viewing A-CDM solely as an IT-led project. Recommendations and learning from this case study can also be disseminated to other airports who are about to embark on the preparation for full A-CDM implementation and compliance.

Place, publisher, year, edition, pages
Springer, 2015. Vol. 17, no 2, 207-218 p.
Keyword [en]
MASCA, Implementing change, Airport Collaborative Decision Making, Multi-stakeholder collaborations
National Category
Other Engineering and Technologies
Identifiers
URN: urn:nbn:se:kth:diva-171671DOI: 10.1007/s10111-014-0295-xISI: 000353465700009Scopus ID: 2-s2.0-84939957242OAI: oai:DiVA.org:kth-171671DiVA: diva2:845707
Note

QC 20150812

Available from: 2015-08-12 Created: 2015-08-05 Last updated: 2017-05-29Bibliographically approved
In thesis
1. Collaborative Measures: Challenges in Airport Operations
Open this publication in new window or tab >>Collaborative Measures: Challenges in Airport Operations
2017 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

Over the last 20 years, internal use of Performance Management(PM) within organizations has become much more complex in terms measurement techniques and approaches as well as their deployment within different organizational structures. In contrast to the traditional use of PM as an intra-organizational system, the emergence of networked operations, has extended organizational boundaries of Performance Management System (PMS) to new operational settings where actors often deal with a challenge of Collaborative Measures. Consequently, there is a significant lack of feedback and feedforward reporting mechanisms. This raises an important question for Performance Measurement & Management (PMM) literature. How do actors manage operations through inter- organizational performance measures? Hence, the purpose of this thesis is to investigate the management of collaborative measures in a quest to attain better operational performance for inter- organizational PM.

The thesis builds on four studies investigating a collaborative PMS for capacity enhancements in airport operations. Due to their operational complexity and highly networked subsystems, airport operations provided a fitting empirical scene for studying PM that transcends organizational boundaries. Within the context of this thesis, airports are viewed as a System of System (SoS), and inter- organizational PM is investigated with the dimensions Organizational Complexity, Continuous Improvement and Social system. The studies use a multimethod approach, including longitudinal action research, multiple-case study, Systematic Literature Review (SLR), Classification and Regression Tree method (CART) and Artificial Neural Network (ANN) Method.

The findings show that that (1) inter- organizational performance is affected by intrinsic Performance Measurement Complexity (PMC) which aggregates as interactive complexity with many actors. (2) The challenge of feedback and feedforward mechanisms as a dual control for collaborative performance is analysed with four cybernetic functions: sensor, commander, actuator and process. (3) The concept of Reflective Performance Measurement System (RPMS) is introduced with general conditions to facilitate collaborative decision-making within such platforms.

Place, publisher, year, edition, pages
Stockholm: KTH Royal Institute of Technology, 2017. 76 p.
Series
TRITA-IEO, ISSN 1100-7982 ; 7
Keyword
Performance Measurement, Airport Operations, Collaboration Decision Making
National Category
Business Administration
Research subject
Industrial Economics and Management; Planning and Decision Analysis; Transport Science; Industrial Information and Control Systems
Identifiers
urn:nbn:se:kth:diva-207780 (URN)978-91-7729-331-6 (ISBN)
Public defence
2017-06-14, F3, Lindstedtsvägen 26, Stockholm, 09:00 (English)
Opponent
Supervisors
Projects
MASCA- Managing System Change in Aviation
Note

This research was conducted within the framework of the European Doctorate in Industrial Management—EDIM, which is funded by the Education, Audiovisual and Culture Executive Agency (EACEA) of the European Commission. QC 20170524

Available from: 2017-05-24 Created: 2017-05-23 Last updated: 2017-06-07Bibliographically approved

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