A Comparative Analysis toward Two Famous Smart-Tourism by Integrated Dynamic-Programming & Project Appraisal Model

DOI

10.2991/aiie-16.2016.8How to use a DOI?

Keywords

smart tourism; R&D project;dynamic-programming model; project appraisal model; huang mountain; tai mountain

Abstract

The purpose of this study is aimed to construct a comprehensive theoretical framework for explaining the characteristics of different Smart Tourism Projects' Designing and Developing, and finding the best practice model in this booming area. Based on the three stages of R&D project pipeline of dynamic-programming model, and Project Appraisal Model (PAM),the research framework of the study focuses on the three dimensions, economic and scoring values: energy benefits, consumer savings and societal factors. Furthermore, for enhancing the explanation of the framework, five example types of R&D uncertainty from (Huchzermeier & Loch 2001) were considered: market payoffs, project budgets, product performance, market requirements, and project schedules. For examining the value of the framework, this paper analyzes the Difference of two Smart Tourism projects in two famous Chinese scenic regions, Huang Mountain and Tai Mountain. Conclusion, our focus was set at discovering the difference between the processes of those two Smart Tourism systems based on the integrated theoretical framework.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Tianhang Huang
AU  - Nan Zhang
PY  - 2016/11
DA  - 2016/11
TI  - A Comparative Analysis toward Two Famous Smart-Tourism by Integrated Dynamic-Programming & Project Appraisal Model
BT  - Proceedings of the 2016 2nd International Conference on Artificial Intelligence and Industrial Engineering (AIIE 2016)
PB  - Atlantis Press
SP  - 33
EP  - 36
SN  - 1951-6851
UR  - https://doi.org/10.2991/aiie-16.2016.8
DO  - 10.2991/aiie-16.2016.8
ID  - Huang2016/11
ER  -