AIRPORT CONGESTION AND CUSTOMER SATISFACTION AT SMALL AIRPORTS IN INDONESIA

Authors

  • Dewi Tamara Executive in Strategic Management Program, Management Department, BINUS Business School Master Program, Bina Nusantara University, Jakarta, Indonesia 11480
  • Asnan Furinto Executive in Strategic Management Program, Management Department, BINUS Business School Master Program, Bina Nusantara University, Jakarta, Indonesia 11480
  • Faik Fahmi Executive in Strategic Management Program, Management Department, BINUS Business School Master Program, Bina Nusantara University, Jakarta, Indonesia 11480
  • Heny Poerwanti Executive in Strategic Management Program, Management Department, BINUS Business School Master Program, Bina Nusantara University, Jakarta, Indonesia 11480
  • Ratih Safitri Executive in Strategic Management Program, Management Department, BINUS Business School Master Program, Bina Nusantara University, Jakarta, Indonesia 11480

DOI:

https://doi.org/10.53555/eijbms.v3i4.58

Abstract

Congestion is a growing trend at major airports in Indonesia, as there is a general sense of what to expect when a hub or home airport begins approaching maximum capacity. Airports increased their capacity, safe and secure operations. Given that airports – which used to be known as local monopolies – now operate in a competitive environment, they now have invested massively in facilities to ensure customer satisfaction. In this research, the researchers aim to study whether airport congestion impacts customer satisfaction at secondary airports in Indonesia. The research will take place at Adisucipto International Airport in Yogyakarta, Central Java, Indonesia, known as congested small airports. The utilization rate is exceeding 370% of its planned capacity. The researchers specifically targeted departing international passengers at Terminal A during peak hours (6:00 AM – 8:00 AM) and did secondary research towards those leaving outside the airport’s peak hours (9:00 AM – 12:00 PM). The research approach is a descriptive analysis using questionnaires to 253 respondents (123 peak hour passengers & 130 non-peak hour passengers) to measure their expectations and perceived qualities at the airport. Based on the comprehensive service quality model, SERVQUAL, developed by Parasuraman, Zeithamal, and Berry (1988) and data processing using IBM’s SPSS, the researchers found no significant correlation between departure time and passengers’ perceptions in all five service dimensions. However, the discrepancy (gap) value between expectations and perceptions during non-peak hour departures is higher than that of the airport’s peak hour departures.

References

. Bitner, M. J. & Wang, H. S. (2014). 11 service encounters in service marketing research, Handbook of Service Marketing Research, Edward Elgar Publishing. → place of publication

. Cronin, J. J. J., Brady, M. K., & Hult, T. M. (2000). Assessing the effects of quality, value, and customer satisfaction on consumer behavioral intentions in a service environment. J. Retail. 76(2), 193-218.

. Falk, T., Hammerschmidt, M., & Schepers, J. J. L. (2010). The service quality-satisfaction link revisited: Exploring asymmetries and dynamics. J. Acad. Mark. Sci. 38, 288e302. http://dx.doi.org/10.1007/s11747-009-0152-2.

. Global Passenger Survey Highlights, IATA (2015). Retrieved January 1, 2015, from.

www.iata.org/publications/Pages/global-passenger-survey.aspx

. Horonjeff, R., McKelvey, K., & Young, S. (2010). Planning and designing airports. 5th Edition. McGraw Hill. New York Chicago San Francisco. IBM Corp. (2017). IBM SPSS statistics for Windows, version 25.0. Armonk, NY: IBM Corp.

. Kaufmann, Hans-Ruediger (2014). Handbook of research on managing and influencing consumer behavior. Hershey PA: IGI Global.

. Kramer, L. S., Bothner, A., & Spiro, M. (2013). How airports measure customer service performance. Washington D.C.: Transportation Research Board.

. Oliver, R. L. (1980). A cognitive model of the antecedents and consequences of satisfaction decisions. Journal of Marketing Research, 17 (September), 46-49.

. Parasuraman, A. Zeithaml, V. A., & Berry, L. L. (1998). SERVQUAL: A multiple – item scale for measuring consumer perceptions of service quality. Journal of Retailing, 64(1), 12-40. Popovic, V., Kraal, B., & Kirk, P. J. (2010). Towards airport passenger experience models. Paper presented at the 7th International Conference on Design and Emotion, Chicago, United States.

. Sekaran, U. & Bougie, R. (2016). Research methods for business: A skill building approach, 6th Ed., Wiley Publishing.

. Wilson, A., Zeithaml, V. A., Bitner, M. J., & Gremler, D. D. (2012). Services marketing: Integrating customer focus across the firm, 2nd Ed., Berkshire: McGraw-Hill.

. Wyman, O. (2012). Guide to airport performance measures. Montreal, Canada: Airports Council International.

. Zidarova, E. D., & Zografos, K. G. (2011). Measuring quality of service in airport passenger terminals. Transportation Research Record (2214), 69-76.

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Published

2017-12-27