Limitation and Future Research

Beside the current study, the finding result still needs to be interpreted in light of its limitations. The limitation

of this research is the minimum of objects sample (two cities) and the short period of data collection (one year). This study also could not apply the sentiment analysis, where this analysis to determine whether a “social media thought” is positive, negative or neutral. Furthermore, it could also discover how people feel about a particular topic.

For future aim, this research can be replicated with the investigation with more destination cities, i.e. not only just with two objects of destination but also can comparing with more than

5 destination cities. Another further research can also widen the topic or even focus on specific attributes topics, for

example focusing on food destination as the image of choosing travel decision. In this area, research may focus on comparing few sample of destination that is famous and concern with the tradition of cuisine. Another variable that uses the food icon or food identity from a particular country as an image of the destination.

The suggestion that could be considered is the use of another social media as the sample selection, such as YouTube, Instagram, and Facebook. This kind of social media can use in supporting the analytics using social media mining. The alternative approach in analyzing

social media mining other than Statistics Analytics may also be an option. Sentiment analysis may provide the alternative outcome of the data. Final optional analyzes could be different mining approaches and comparison.

Notes on Contributors

Tomas Setya Wahyu Budi is a double degree graduate student in Master of Management (MM) Brawijaya University and Master of Business Administration (MBA) National Central University, Taiwan. He has several experiences in several research as a research assistant.

Chien Wen Shen is the associate professor at National Central University, Taiwan. He handles for many research and courses focus on Application of Innovative Information Technology, Supply Chain Management, and Decision Science. He gained his doctoral in Northwestern University Industrial Engineering and Management Science. He has writen many research paper like “Fault Diagnosis for E-Seal Unreadability Using Learning Bayesian Networks”

Kusuma Ratnawati is the senior lecturer at Management Department, Brawijaya University. Her research interest is focused on Investment Management and Derivative Financing, International Finance, Operations Management, and Strategic Operations Management. She gained her Master degree at Gadjah Mada University and her doctoral degree in Airlangga University.

Tomas Setya Wahyu Budi et al.

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