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Sources of Complexity within a System of System: Implications for Performance Management
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.
KTH, School of Industrial Engineering and Management (ITM), Industrial Economics and Management (Dept.), Industrial Management.
2014 (English)In: EurOMA Conference, Palermo, Italy, 20- 25 June 2014, 2014Conference paper, Abstract (Refereed)
Abstract [en]

The purpose of this paper is to identify factors that induce complexity in the airport Turn-Around Process (TAP) so as to understand implications for Perfromance Measurement and Management (PMM). The study is addressed as an inductive/exploratory case study. The unit of analysis is the Turn-Around Process at a major Swedish airport. Data is obtained from conducting twenty-three semi-structured interviews. In addition, participant observations during eight months were conducted. As a result, three implications for PMM are identified as (i) organizational complexity, (ii) Continious improvement, (iii) social system. The findings support the challenge of managing interoperability within complex multi-stakeholder settings. The value of this study is that it enhances our understanding on how inter- organizational performance can be examined and hence managed

Place, publisher, year, edition, pages
2014.
Keyword [en]
Airport services, Turnaround Process, Perfromance Measurement.
National Category
Production Engineering, Human Work Science and Ergonomics
Identifiers
URN: urn:nbn:se:kth:diva-206834OAI: oai:DiVA.org:kth-206834DiVA: diva2:1094013
Conference
EurOMA Conference, Palermo, Italy, 20- 25 June 2014
Note

An earlier version of this paper was presented at EurOMA Conference, Palermo, Italy, 20- 25 June 2014

QC 20170519

Available from: 2017-05-08 Created: 2017-05-08 Last updated: 2017-05-23Bibliographically 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: 2017-05-24Bibliographically approved

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