Development of an Investment Management Model for Air Carriers

Authors

  • Kamilla G. Sadvakassova
  • Azhar Z. Nurmagambetova
  • Gulmira E. Kassenova
  • Zhanar S. Kazbekova
  • Dariyoush Jamshidi

DOI:

https://doi.org/10.47839/ijc.22.3.3226

Keywords:

investment, information technology, market, air transportation, work efficiency

Abstract

For Kazakh airlines, the issue of using information technologies (IT) is relevant and complex, since the increased competition and partially identical business practices by companies in the same industry force the accelerated implementation of such technologies in their activities. It is necessary to consider and systematize information technologies and systems used by leading air carriers in order to structure them and determine the formats of their use in airlines. The methodological framework of the study consists of the dialectical, system, and historical approaches, fundamental provisions of economic theory, the theory of information economy and innovative development, and studies conducted by scientists-economists devoted to the development of the information society and the problems of company functioning in the information economy. As a result, the investment project assessment for the implementation of information technologies was calculated, which clearly demonstrated the capabilities of such systems as a tool for improving competitiveness, and proved their fast payback period and positive impact on the company.

References

S. Meire and B. Derudder, “Virtual interlining within the European airport network: An airfare analysis,” Journal of Air Transport Management, vol. 94, pp. 102073, 2021. https://doi.org/10.1016/j.jairtraman.2021.102073

Y.-J. Chiu, “Mining patent big data to forecast enterprise performance. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics),” 10923 LNCS, 2018, pp. 687-698. https://doi.org/10.1007/978-3-319-91716-0_54

R. D. Apaza, and L. Popescu, “The way to the future has already started: International Civil Aviation Organization (ICAO) Aeronautical Telecommunication Network (ATN) using Internet Protocol Suite (IPS) Standards and Protocol evolution update,” Proceedings of the AIAA/IEEE Digital Avionics Systems Conference, September 2018, article number 8569263, 2018. https://doi.org/10.1109/DASC.2018.8569263

K. Button, “Applied economics and understanding trends in air transportation policy,” Transport Policy, vol. 80, pp. 78-85, 2019. https://doi.org/10.1016/j.tranpol.2019.04.022

R. Merkert and H. Swidan, “Flying with (out) a safety net: Financial hedging in the airline industry,” Transportation Research, Part E: Logistics and Transportation Review, vol. 127, pp. 206-219, 2019. https://doi.org/10.1016/j.tre.2019.05.012

M. A. H. Al-Fadl, and A. A. A. J. Al Shammari, “The role of cost and benefit techniques in developing supply chain management models in the transportation system (analytical and practical study at Baghdad international airport),” International Journal of Supply Chain Management, vol. 8, no. 1, pp. 563-579, 2019.

R. P. de Oliveira, A. V. M. Oliveira, and G. Lohmann, “A network-design analysis of airline business model adaptation in the face of competition and consolidation,” Transportation Science, vol. 55, no, 2, pp. 532-548, 2021. https://doi.org/10.1287/trsc.2020.1025.

M. Abate, P. Christidis, and A. J. Purwanto, “Government support to airlines in the aftermath of the COVID-19 pandemic,” Journal of Air Transport Management, vol. 89, pp. 101931, 2020. https://doi.org/10.1016/j.jairtraman.2020.101931

I. Stevenson, and K. Marintseva, “A review of corporate social responsibility assessment and reporting techniques in the aviation industry,” Transportation Research Procedia, vol. 43, pp. 93-103, 2019. https://doi.org/10.1016/j.trpro.2019.12.023

T. A. Slepneva and N. V. Svishcheva, “Sustainable growth of airline companies: Challenges and prospects assessment,” SHS Web of Conferences. EDP Sciences, vol. 91, 2021. https://doi.org/10.1051/shsconf/20219101018

N. Barera, L. Sylvain, G. Valléry, and S. Sutter, “Conditions of use and adoption of digital tools: results from a field study on airport reception agents,” Advances in Intelligent Systems and Computing, vol. 822, pp. 533-538, 2019. https://doi.org/10.1007/978-3-319-96077-7_57

M. Rossi, et al., “Financial structure instability as failure symptom in the aviation industry – The jet airways bankruptcy case,” Proceedings of the 12th Annual Conference of the EuroMed Academy of Business, 2019, pp. 1047-1057.

A. Borodin, V. Pyatanova, and A. Yashin, “Bankruptcy predictions for air carriers: Global market,” HSE Economic Journal, vol. 23, no. 3, pp. 418-443, 2019. https://doi.org/10.17323/18138691-2019-23-3-418-443

D. Kim, A. Seth, and R. P. Liem, “Data-enhanced dynamic flight simulations for flight performance analysis,” Aerospace Science and Technology, vol. 121, pp. 107357, 2022.

S. Lee, H. Kim, and N. Lee “A comparative analysis of financial and operational performance pre – and post-IPO: with a focus on airline companies,” Academy of Accounting and Financial Studies Journal, vol. 23, no. 3, 2019. https://www.abacademies.org/articles/a-comparative-analysis-of-financial-and-operational-performance-pre--and-postipo-with-a-focus-on-airline-companies-8282.html

P. S. Morrell, “Airline finance,” London: Taylor and Francis, 2018. https://doi.org/10.4324/9781315263007

J. Sun, J. M. Hoekstra, and J. Ellerbroek, “OpenAP: An open-source aircraft performance model for air transportation studies and simulations,” Aerospace, vol. 7, pp. 104, 2020.

C. Lagos, F. Delgado, and M. A. Klapp, “Dynamic optimization for airline maintenance operations,” Transportation Science, vol. 54, no. 4, pp. 998-1015, 2020. https://doi.org/10.1287/trsc.2020.0984

H. Swidan, and R. Merkert, “The relative effect of operational hedging on airline operating costs,” Transport Policy, vol. 80, pp. 70-77, 2019. https://doi.org/10.1016/j.tranpol.2019.05.001

M. Renold, J. Kuljanin, and M. Kalić, “The comparison of financial performance of airlines with different business model operated in long-haul market,” Transportation Research Procedia, vol. 43, pp. 178-187, 2019. https://doi.org/10.1016/j.trpro.2019.12.032

R. Doganis, Flying off Course: Airline Economics and Marketing, Routledge, 2019.

M. Dingari, D. M. Reddy, and V. Sumalatha, “Air traffic forecasting using artificial neural networks,” International Journal of Scientific & Technology Research, vol. 8, no. 10, pp. 556-559, 2019.

E. Alarfaj and S. AlGhowinem, “Forecasting air traveling demand for Saudi Arabia’s low cost carriers,” Proceedings of the SAI Intelligent Systems Conference, Springer, 2018, pp. 1208-1220.

J. Yanto and R. P. Liem, “Cluster-based aircraft fuel estimation model for effective and efficient fuel budgeting on new routes,” Aerospace, vol. 9, pp. 624, 2022. https://doi.org/10.3390/aerospace9100624

G. Burmester, H. Ma, D. Steinmetz, and S. Hartmannn, “Big data and data analytics in aviation,” in: U. Durak, J. Becker, S. Hartmann, N. Voros, (Eds.), Advances in Aeronautical Informatics, Springer, Cham, Switzerland, 2018.

V. Krasnobayev, S. Koshman, S. Moroz, V. Kalashnikov, and V. Kalashnikov, “Data errors control in the modular number system based on the nullification procedure,” International Journal of Computing, vol. 19, no. 2, pp. 237-246, 2020. https://doi.org/10.47839/ijc.19.2.1767

M. Abbas, R. Rioboo, C.-B. Ben-Yelles, and C. F. Snook, “Formal modeling and verification of UML Activity Diagrams (UAD) with FoCaLiZe”, Journal of Systems Architecture, vol. 114, 101911, 2021. https://doi.org/10.1016/j.sysarc.2020.101911

F. Bozyiğit, Ö. Aktaş, and D. Kılınç, “Linking software requirements and conceptual models: A systematic literature review,” Engineering Science and Technology, an International Journal, vol. 24, no. 1, pp. 71-82, 2021. https://doi.org/10.1016/j.jestch.2020.11.006

Downloads

Published

2023-10-01

How to Cite

Sadvakassova, K. G., Nurmagambetova, A. Z., Kassenova, G. E., Kazbekova, Z. S., & Jamshidi, D. (2023). Development of an Investment Management Model for Air Carriers. International Journal of Computing, 22(3), 319-327. https://doi.org/10.47839/ijc.22.3.3226

Issue

Section

Articles