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Contemporary Approaches in Humanities

Edited By Hasan Arslan, Mehmet Ali Içbay, Günther Löschnigg and Rasim Yilmaz

This book presents a collection of papers written by researchers, teachers, administrators, analysts and graduate students working and doing research in the field of social sciences. The scientific studies include a wide range of topics from the analysis of social science textbooks to the teacher image in newspapers, the relationship between self-efficacy and cognitive level and the role of organizational silence on the loneliness of academics in work life.

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Eliminating Muda and Increasing Level of Service in Airports: A New Model Using iBeacon Technology (Cansu Tayaksi / Birce Dobrucalı)


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Cansu Tayaksi* & Birce Dobrucalı**

Eliminating Muda and Increasing Level of Service in Airports: A New Model Using iBeacon Technology

Abstract The contemporary goal of today’s service providing firms is to increase both their efficiency and customer satisfaction. It is crucial to reduce waste and increase the level of service (LOS) in order to reach that goal and survive in a highly competitive environment, such as airport operating industry. Existing LOS measurement standards and methods have been widely criticised by airport professionals due to the lack of extensive and objective passenger input (Correia et al., 2008). Major problems arise while measuring LOS in consequence of poor data. In 2013, Apple introduced iBeacons which are small computers that emit Bluetooth signals to communicate with smart devices nearby and are mainly used for indoor positioning. The indoor positioning and tracking capability leads to the emergence of numerous applications, such as wayfinding and location based information sharing. The underlying principle that makes the whole concept so usable is the ability to bind both the physical and digital world together.

In this study, the conceptual infrastructure of iBeacon is investigated, advantages for the airline industry are listed and a new model is built for improving business processes. With the usage of this model, airports can reduce waste, increase level of service by enhancing wayfinding, which is the second important airport LOS determinant (Correia et al., 2008), and obtain customer data simultaneously. Lastly, recommendations are made...

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