Contribution of Scientific Production to Air Logistics: A Bibliometric Analysis from the 70s to the Present

Year 2022, , 334 - 345, 22.11.2022

Artuğ Eren Coşkun , Mustafa Özer Alpar , Ramazan Erturgut

https://doi.org/10.30518/jav.1121377

Abstract

With increased performance expectations based on speed and agility in logistics flow and supply chain processes, air logistics has gained popularity as a research area. Although more and more papers are published each year on this subject, to the best of our knowledge, a comprehensive bibliometric academic publication review has not been presented so far to contribute to the intellectual structure of the literature. Therefore, this study aims to investigate the last 5 decades’ intellectual basis of air logistics studies that can be evaluated in the field of social sciences. For this purpose, a total of 398 articles have been accessed to be used in the bibliometric analysis of studies published in the literature of air logistics, and these data have been provided from the Core Collection Database of Web of Science (WOS). The research data consists of articles published in English in the WOS database between 1971 and 2019. Books and papers published in all other languages were not included in the research. The Bibliometrix (Biblioshiny) package of the statistical software program R was used for the analysis and visualization of the data. Research findings indicate that air logistics research has increased greatly, especially in the last 10 years. The most productive countries are the United States, China, and Canada, respectively, while the most published journal is the Journal of Air Transport Management, which has continued to increase its number of publications since 1995. Although there are no tear restrictions in this study, the number of publications on air logistics in the field of social sciences is still insufficient.

Keywords

Bibliometric Analysis, Air Logistics, Air Transportation, Bibliometrix, Web of Science

References

• Adler, N., and Smilowitz, K. (2007). Hub-and-spoke network alliances and mergers: Price-location competition in the airline industry. Transportation Research Part B: Methodological, 41(4), 394-409.
• Alumur, S., and Kara, B. Y. (2008). Network hub location problems: The state of the art. European Journal of Operational Research, 190(1), 1-21.
• Aria, M., and Cuccurullo, C. (2017). bibliometrix: An R-tool for comprehensive science mapping analysis. Journal of Informetrics, 11(4), 959-975.
• Aria M, Cuccurullo C, and Aria M. M. (2017). Package ‘bibliometrix’.
• Aykin, T. (1995). Networking policies for hub-and-spoke systems with application to the air transportation system. Transportation Science, 29(3), 201-221.
• Barrat, A., Barthelemy, M., Pastor-Satorras, R., & Vespignani, A. (2004). The architecture of complex weighted networks. Proceedings of the National Academy of Sciences, 101(11), 3747-3752.
• Bensalem, A., and Kin, V. (2019, January). A bibliometric analysis of reverse logistics from 1992 to 2017. In Supply Chain Forum: An International Journal (Vol. 20, No. 1, pp. 15-28). Taylor & Francis.
• Borenstein, S. (1989). Hubs and high fares: dominance and market power in the US airline industry. The RAND Journal of Economics, 344-365.
• Brueckner, J. K. (2003). Airline traffic and urban economic development. Urban Studies, 40(8), 1455-1469.
• Bryan, D. L., and O'kelly, M. E. (1999). Hub‐and‐spoke networks in air transportation: an analytical review. Journal of Regional Science, 39(2), 275-295.
• Burghouwt, G., and de Wit, J. (2005). Temporal configurations of European airline networks. Journal of Air Transport Management, 11(3), 185-198.
• Button, K., and Taylor, S. (2000). International air transportation and economic development. Journal of Air Transport Management, 6(4), 209-222.
• Campbell, J. F. (1994). Integer programming formulations of discrete hub location problems. European Journal of Operational Research, 72(2), 387-405.
• Cardillo, A., Zanin, M., Gómez-Gardenes, J., Romance, M., García del Amo, A. J., and Boccaletti, S. (2013). Modeling the multi-layer nature of the European Air Transport Network: Resilience and passengers re-scheduling under random failures. The European Physical Journal Special Topics, 215(1), 23-33.
• Charvet, F. F., Cooper, M. C., and Gardner, J. T. (2008). The intellectual structure of supply chain management: A bibliometric approach. Journal of Business Logistics, 29(1), 47-73.
• Chen, X., Chen, J., Wu, D., Xie, Y., and Li, J. (2016). Mapping the research trends by co-word analysis based on keywords from funded project. Procedia Computer Science, 91, 547-555.
• Silva, R. G., Dias, I. C. P., & Gonçalves, M. C. (2019). A bibliometric contribution of the strategies of reverse logistics in waste electrical and electronic equipment (weee) management. Engrxiv, 1-13.
• Davarzani, H., Fahimnia, B., Bell, M., and Sarkis, J. (2016). Greening ports and maritime logistics: A review. Transportation Research Part D: Transport and Environment, 48, 473-487.
• de Campos, E. A. R., de Paula, I. C., Pagani, R. N., and Guarnieri, P. (2017). Reverse logistics for the end-of-life and end-of-use products in the pharmaceutical industry: a systematic literature review. Supply Chain Management: An International Journal. 22(4): 375-392.
• de Carvalho, P. P. S., de Araújo Kalid, R., Rodríguez, J. L. M., and Santiago, S. B. (2019). Interactions among stakeholders in the processes of city logistics: a systematic review of the literature. Scientometrics, 120(2), 567-607.
• Dolati Neghabadi, P., Evrard Samuel, K., and Espinouse, M. L. (2019). Systematic literature review on city logistics: overview, classification and analysis. International Journal of Production Research, 57(3), 865-887.
• Ernst, A. T., and Krishnamoorthy, M. (1996). Efficient algorithms for the uncapacitated single allocation p-hub median problem. Location Science, 4(3), 139-154.
• Erturgut R. (2016). Lojistik ve Tedarik Zinciri Yönetimi [Logistics and Supply Chain Management]. Nobel Yayıncılık. Ankara.
• Feng, B., Li, Y., and Shen, Z. J. M. (2015). Air cargo operations: Literature review and comparison with practices. Transportation Research Part C: Emerging Technologies, 56, 263-280.
• Georgi, C., Darkow, I. L., and Kotzab, H. (2013). Foundations of logistics and supply chain research: a bibliometric analysis of four international journals. International Journal of Logistics Research and Applications, 16(6), 522-533.
• Gerede E. (2002). Havayolu Taşımacılığında Küreselleşme ve Havayolu İşbirlikleri-THY AO'da Bir Uygulama [Globalization In Airline Industry and Airline Alliances- A Case Study At Turkish Airline], Doctoral dissertation, Anadolu University, Sosyal Bilimler Enstitüsü, Turkey.
• Gokasar, I., and Gunay, G. (2017). Mode choice behavior modeling of ground access to airports: A case study in Istanbul, Turkey. Journal of Air Transport Management, 59, 1-7.
• Guimera, R., Mossa, S., Turtschi, A., and Amaral, L. N. (2005). The worldwide air transportation network: Anomalous centrality, community structure, and cities' global roles. Proceedings of the National Academy of Sciences, 102(22), 7794-7799.
• Hajduk, S. (2017). Bibliometric analysis of publications on city logistics in international scientific literature. Procedia Engineering, 182, 282-290.
• IATA. (2018). In Annual Review 2018. 74th Annual General Meeting.
• Kazemi, N., Modak, N. M., and Govindan, K. (2019). A review of reverse logistics and closed loop supply chain management studies published in IJPR: a bibliometric and content analysis. International Journal of Production Research, 57(15-16), 4937-4960.
• Kinene, A., Granberg, T. A., Polishchuk, V., and Rydergren, C. (2020). Decision support for an optimal choice of subsidised routes in air transportation. Journal of Air Transport Management, 82, 101724.
• Kwasiborska, A. (2016, May). Idea of Sustainable Development of Transport with Special Reference to Air Transportation. In TranSopot Conference (pp. 47-55). Springer, Cham.
• Lin, J. (2012). Network analysis of China’s aviation system, statistical and spatial structure. Journal of Transport Geography, 22, 109-117.
• Lin, Y. K., Nguyen, T. P., and Yeng, L. C. L. (2019). Reliability evaluation of a multi-state air transportation network meeting multiple travel demands. Annals of Operations Research, 277(1), 63-82.
• Lin, Y., and Zhao, Q. (2019, March). Analysis of agricultural logistics literatures based on Cnki. In International Academic Conference on Frontiers in Social Sciences and Management Innovation (IAFSM 2018) (pp. 86-91). Atlantis Press.
• Mishra, D., Gunasekaran, A., Papadopoulos, T., and Dubey, R. (2018). Supply chain performance measures and metrics: a bibliometric study. Benchmarking: An International Journal.
• Munari, P., and Alvarez, A. (2019). Aircraft routing for on-demand air transportation with service upgrade and maintenance events: Compact model and case study. Journal of Air Transport Management, 75, 75-84.
• O'kelly, M. E. (1987). A quadratic integer program for the location of interacting hub facilities. European Journal of Operational Research, 32(3), 393-404.
• Osareh, F. (1996). Bibliometrics, citation analysis and co-citation analysis: A review of literature I. Libri. 46(3), 149-58.
• Padrón, S., and Guimarans, D. (2019). An improved method for scheduling aircraft ground handling operations from a global perspective. Asia-Pacific Journal of Operational Research, 36(04), 1-25, 1950020.
• Parsa, M., Nookabadi, A. S., Flapper, S. D., and Atan, Z. (2019). Green hub-and-spoke network design for aviation industry. Journal of Cleaner Production, 229, 1377-1396.
• Pritchard, A. (1969). Statistical bibliography or bibliometrics. Journal of Documentation, 25(4), 348-349.
• Qaiser, F. H., Ahmed, K., Sykora, M., Choudhary, A., and Simpson, M. (2017). Decision support systems for sustainable logistics: a review and bibliometric analysis. Industrial Management & Data Systems.
• Raisig, L. M. (1962). Statistical bibliography in the health sciences. Bulletin of the Medical Library Association, 50(3), 450.
• Real, L. B., O'Kelly, M., de Miranda, G., and de Camargo, R. S. (2018). The gateway hub location problem. Journal of Air Transport Management, 73, 95-112.
• Sengupta, I. N. (1992). Bibliometrics, informetrics, scientometrics and librametrics: an overview, 42(2), 75-98.
• Shen, H., Liang, Y., and Shen, Z. J. M. (2021). Reliable hub location model for air transportation networks under random disruptions. Manufacturing & Service Operations Management, 23(2), 388-406.
• Shonhe, L. (2020). Continuous Professional Development (CPD) of librarians: A bibliometric analysis of research productivity viewed through WoS. The Journal of Academic Librarianship, 46(2), 102106.
• Siamaki, S., Geraei, E., and Zare-Farashbandi, F. (2014). A study on scientific collaboration and co-authorship patterns in library and information science studies in Iran between 2005 and 2009. Journal of education and health promotion, 3.
• Singhaseni, C., Wu, Y., and Ojiako, U. (2013). Modeling overbookings on air cargo transportation. International Journal of Physical Distribution & Logistics Management.
• Sun, X., Wandelt, S., and Linke, F. (2015). Temporal evolution analysis of the European air transportation system: air navigation route network and airport network. Transportmetrica B: Transport Dynamics, 3(2), 153-168.
• Totamane, R., Dasgupta, A., and Rao, S. (2012). Air cargo demand modeling and prediction. IEEE Systems Journal, 8(1), 52-62.
• University of Maryland. LibGuides: Bibliometrics and altmetrics: measuring the impact of knowledge. Available from: https://lib.guides.umd.edu/ bibliometrics/.
• Voigt, D., Casarotto Filho, N., Macedo, M. A., Braga, T. G., and da Rocha, R. U. G. (2019). Performance Evaluation of Reverse Logistics: Opportunities for Future Research. Sustainability, 11(19), 5291.
• Wang, C., Lim, M. K., and Lyons, A. (2019). Twenty years of the International Journal of Logistics Research and Applications: a bibliometric overview. International Journal of Logistics Research and Applications, 22(3), 304-323.
• Wang, J. J., Chen, H., Rogers, D. S., Ellram, L. M., and Grawe, S. J. (2017). A bibliometric analysis of reverse logistics research (1992-2015) and opportunities for future research. International Journal of Physical Distribution & Logistics Management.
• Wei, K., and Vaze, V. (2018). Modeling crew itineraries and delays in the national air transportation system. Transportation Science, 52(5), 1276-1296.
• Wensveen, J. G. (2018). Air transportation: A management perspective. Routledge.
• Winter, M., and Knemeyer, A. M. (2013). Exploring the integration of sustainability and supply chain management: Current state and opportunities for future inquiry. International Journal of Physical Distribution & Logistics Management, 43(1), 18-38.
• Xie, H., Zhang, Y., Zeng, X., and He, Y. (2020). Sustainable land use and management research: a scientometric review. Landscape Ecology, 35(11), 2381-2411.
• Xu, Z., and Harriss, R. (2008). Exploring the structure of the US intercity passenger air transportation network: a weighted complex network approach. GeoJournal, 73(2), 87-102.
• Yang, K., Yang, L., and Gao, Z. (2016). Planning and optimization of intermodal hub-and-spoke network under mixed uncertainty. Transportation Research Part E: Logistics and Transportation Review, 95, 248-266.
• Zary, B., Bandeira, R., and Campos, V. (2014). The contribution of scientific productions at the beginning of the third millennium (2001–2014) for humanitarian logistics: A bibliometric analysis. transportation research procedia, 3, 537-546.
• Zhao, H., and Zhang, N. (2019). Who is the main influencer on safety performance of dangerous goods air transportation in China? Journal of Air Transport Management, 75, 198-203.