E=turism
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As successful tourism firms invest heavily in marketing to defend or improve their competitive position, they increasingly need to measure their marketing performance. Previous studies related to tourism have largely focused on financial... more
As successful tourism firms invest heavily in marketing to defend or improve their competitive position, they increasingly need to measure their marketing performance. Previous studies related to tourism have largely focused on financial and operational performance, but the marketing perspective has been largely overlooked. Drawing on an in-depth investigation involving 12 hotel chains, 8 travel agencies and 8 tour operators, this study provides an overview of the state-of-the-art marketing performance measurements among some of the leading tourism firms in Italy. Several issues and unanswered questions are also identified.
- by Fabio Cassia and +1
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- Business, Information Systems, Management, Marketing
—Due to the increasing use of smart phones, various applications of existing sensors such as compass in the phone, Gyroscope, Seismometers and .... Use is increase. In the meantime, if you can provide a program that uses the smartphone's... more
—Due to the increasing use of smart phones, various applications of existing sensors such as compass in the phone, Gyroscope, Seismometers and .... Use is increase. In the meantime, if you can provide a program that uses the smartphone's camera surrounding environment in the frame of a series of mobile information is added. This can be very useful for tourists who go to the place. In this paper, using computer vision techniques known tourist location and then a series of real information will be added to the photos displayed on the phone. Suppose a tourist Enter the street which contains a series of hotels, museums, shopping centers, etc. For information on the features of your phone on the street just added to the information on the page is displayed. We harness these opportunities through a system called Object Positioning System (OPS) that achieves reasonable localization accuracy. Our core technique uses computer vision to create an approximate 3D structure of the object and camera, and applies mobile phone sensors to scale and rotate the structure to its absolute configuration. We believe that OPS show promising results, enabling a variety of applications. Our ongoing work is focused on coping with large GPS errors, which proves to be the prime limitation of the current prototype.
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