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7516NSC Strategic Airline And Airport Management
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7516NSC Strategic Airline And Airport Management
0 Download5 Pages / 1,099 Words
Course Code: 7516NSC
University: Griffith University
MyAssignmentHelp.com is not sponsored or endorsed by this college or university
Country: Australia
Question:
This task consists of three interconnected sub-tasks around the topic of airport strategic management.
You are required to write a literature review that discusses one theoretical approach to dynamic strategic management of airports making use of at least five academic references. You should refer to a specific airport case to illustrate your chosen approach. You might eventually want to speculate about the implications of applying a particular theory into a real airport/airport authority, but it has to be a good speculation.
You are also required to provide feedback for two drafts uploaded by your classmates.
You need to do the three tasks described in the following table.
What is a literature review?
A literature review is a critical review of existing knowledge on areas such as theories, research findings and evaluations on a particular topic. It is not merely a summary to gather information from reports, journals and articles. A literature review involves a critical evaluation identifying similarities and differences between existing literature and the work being undertaken (an airport example you are providing). It reviews what has already been done in the context of a topic.
For further information, please consult the resources available at the Assessment link of the L@G portal.
Answer:
Introduction
There has been an increase in the pressure for improvement of the airport performance through the effective and sustainable management of the airport resources. The order performance is based on assessing the present status and then evaluating the aspects of operations in the quantitative form with impacts on the delays, congestion, safety and the environment for the economy at large. The performance of the airport assessment is mainly to understand about the operations and processes. It includes the different variety of performance measures like the capacity, delays and a proper service level, safety and security that is based on handling the costs at economic level, and the benefits need to consider along with the interdependencies and the other trade-offs (Brown et al, 2015). With the improvement in productivity, there are highlights of performance monitoring, where the initiatives are taken to enhance the productivity through the strategical approaches. The best practice used is Benchmarking and the report will discuss about the case study relevant to it.
Literature Review
The benchmarking strategic approach is effective for handling the performance at any airport with measuring the ways in which it can handle the regional customer care support. With globalization, there are industries working on increasingly working on comparing themselves on a worldwide basis. The time to apply the strategic tool is mainly when there is a need to improve the processes and then work on the performance objectives as well. The study highlights about the identification of key indicators that are effectively used for better performance and capacity, where there is a wider selection of the facilities and the collection of data relevant. The objective analysis is based on the ranking that has been done worldwide. Benchmarking is easy to comprehend but it is difficult to implement (Kamp, Niemeier & Muller, 2007). The data collection is difficult and there are physical characteristics which might be easy to count on or measure the requirements of the effort and time.
Background of case study
The case study highlights about the examination of Imam Khomeini International Airport, in Iran which has been able to establish the competitive benchmarking. The data collection with quality requirements and service design requirements are identified using benchmarking deployment. The case study determines about the economic performance of European Airports for the different sizes and ownership structure. According to the study, there are German airports which are financial inefficiency when compared to the other airports in Europe and in Non-European areas.
It is seen that German airports benchmarking for the Air Transport Research Society is to focus on categorizing the different geographical regions which highlight about measuring the productivity and efficiency with unit costs and competitiveness. The measurements are based on variable and total to include some factors which influence the productivity and the measurement efficiency between gross and Residual Factor Productivity (Kamp, Niemeier & Muller, 2007). The efficiency scores are set with physical standard with financial data set that includes the efficiency scores for European airports that are high on the operational sides. The benchmarking is about handling the relative handling the lower labor productivity with the higher labor costs and better technical efficiency. The benchmarking is about project construction costs which might be useful for the fundamental issues with increased or decreased long run average costs that is addressed by use of alternative empirical approaches (Hatami-Marbini, 2017).
The benchmarking is based on strategic positioning and outsourcing that includes the long run average cost curve with handling the medium sized German airports. The better analysis is on the product differentiation at airport is necessary with carrying out the studies with measuring economies with avoiding diseconomies. The better analysis is based on the product differentiation at airport which is necessary for increased passenger number and cargo volumes that will lead to the change in productivity. The change in the airport strategies regards non-aviation activities that will lead to changing performance measures with adapting capacity and product spectrum to changes.
The cost performance helps in improving the labor productivity with measurements that are not a good method for determining the performance of airport. In case of Germany, the general indicators is for cost performance with aggregation of measures set to look for cost performance and then aggregate the measures to estimate variable and Total Factor Productivity (Hoang, Thu, Ha & Quy, 2016). The Gross v/s Residual Factor Productivity with aggregation that allows the different number of air transport movement with number of passengers working on quantity index for non-aviation related revenue. The benchmarking is to be used with the disequilibrium environment with informing the debates about the capital measures and the capacity, as per the requirement. The standards are set for balancing the technical and agency efficiency. The organization is set to supply services with arm’s length market transactions to organize least cost production processes. At the time of ranking the airports in Germans, ATRS study is about indicating how Frankfurt is able to handle the higher staff costs per passenger than another German airport. The findings are based on labor productivity with data adjustment set with high labor costs in the segments of value added chain receiving more weight in the calculations of passengers for labor costs (Kamp, Niemeier & Muller, 2007).
Conclusion
The benchmarking of the financial performance and technical efficiency with substantial differences for German airports which is compared to the international peers. The financial performance is low by European standards with working on relatively higher costs and low productivity. This is the case with Frankfurt airport (Leung, Burke, Yen & Cui, 2016). The weak financial performance is relatively good for the technical efficiency results.
References
Bezerra, G. C., & Gomes, C. F. (2016). Performance measurement in airport settings: a systematic literature review. Benchmarking: An International Journal, 23(4), 1027-1050.
Brown, R., Castaneda, I., Encinas, C., Flores, S., Gillespie, C., Kuehn, R., … & Reschke, R. (2015). Exploratory Airport Study 2.1 (EAS 2.1).
Hatami-Marbini, A. D. E. L. (2017). Benchmarking with network DEA in a fuzzy environment.
Hoang, T. P., Thu, D. M., Ha, N. T., & Quy, H. K. (2016). FACTORS AFFECTING THE SERVICE QUALITY STANDARDS AT THE INTERNATIONAL AIRPORTS WHEN VIET NAM INTEGRATES TPP: A STUDY AT TAN SON NHAT AIRPORT, HO CHI MINH CITY, VIETNAM. British Journal of Marketing Studies, 4(1), 43-52.
Kamp, V., Niemeier, H. M., & Müller, J. (2007). Can we learn from benchmarking studies of airports and where do we want to go from here.
Leung, A., Burke, M., Yen, B. T., & Cui, J. (2016, November). Oil vulnerability of Australian capital cities: A pilot study using Data Envelopment Analysis (DEA) for vulnerability benchmarking. In Australasian Transport Research Forum 2016 Proceedings.
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