Understanding Mindsets Across Markets, Internationally: A Public-private Innovation Project for Developing a Tourist Data Analytic Platform

Kristoffer Jon Albers; Mikkel Nørgaard Schmidt; Marisciel Litong-Palima; Morten Mørup; Rasmus Bonnevie; Fumiko Kano Glückstad

doi:10.1109/COMPSAC.2018.10221

Understanding Mindsets Across Markets, Internationally: A Public-private Innovation Project for Developing a Tourist Data Analytic Platform

Kristoffer Jon Albers
, Mikkel Nørgaard Schmidt
, Marisciel Litong-Palima
, Morten Mørup
, Rasmus Bonnevie
, Fumiko Kano Glückstad

Copenhagen Business School

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

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Abstract

This paper presents an ongoing public-private innovation project that integrates unsupervised machine learning tools and a marketing theory, in order to analyze segment-based attitudes and behaviors of tourists. Our case study involving the major governmental tourism stakeholders emphasizes the importance of developing a user-friendly data analytic pipeline that carefully considers users' data collection procedure, easy access to the back-office computation algorithms, an interactive output data analysis workflow and its visualization. At the end of this paper, we present our vision to further develop a cloud-based tourist data collection platform.

Original language	English
Title of host publication	Proceedings of the 2018 IEEE 42nd Annual Computer Software and Applications Conference (COMPSAC)
Editors	Sorel Reisman , Sheikh Iqbal Ahamed , Claudio Demartini , Thomas Conte , William Claycomb , Motonori Nakamura , Edmundo Tovar , Stelvio Cimato , Chung-Horng Lung , Hiroki Takakura , Ji-Jiang Yang , Toyokazu Akiyama , Zhiyong Zhang , Kamrul Hasan
Number of pages	6
Publisher	IEEE
Publication date	2018
Pages	159-164
ISBN (Print)	978-1-5386-2667-2
ISBN (Electronic)	978-1-5386-2666-5
DOIs	https://doi.org/10.1109/COMPSAC.2018.10221
Publication status	Published - 2018
Event	2018 IEEE 42nd Annual Computer Software and Applications Conference - Tokyo, Japan Duration: 23 Jul 2018 → 27 Jul 2018 Conference number: 42 https://ieeexplore.ieee.org/xpl/conhome/8376143/proceeding

Conference

Conference	2018 IEEE 42nd Annual Computer Software and Applications Conference
Number	42
Country/Territory	Japan
City	Tokyo
Period	23/07/2018 → 27/07/2018
Internet address	https://ieeexplore.ieee.org/xpl/conhome/8376143/proceeding

Keywords

Tourism data analysis
Unsupervised machine learning
Behavior prediction
Data visualization
Case study

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10.1109/COMPSAC.2018.10221

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Albers, K. J., Schmidt, M. N., Litong-Palima, M., Mørup, M., Bonnevie, R., & Kano Glückstad, F. (2018). Understanding Mindsets Across Markets, Internationally: A Public-private Innovation Project for Developing a Tourist Data Analytic Platform. In S. R., S. I. A., C. D., T. C., W. C., M. N., E. T., S. C., C.-H. L., H. T., J.-J. Y., T. A., Z. Z., & K. H. (Eds.), Proceedings of the 2018 IEEE 42nd Annual Computer Software and Applications Conference (COMPSAC) (pp. 159-164). IEEE. https://doi.org/10.1109/COMPSAC.2018.10221

Albers, Kristoffer Jon ; Schmidt, Mikkel Nørgaard ; Litong-Palima, Marisciel et al. / Understanding Mindsets Across Markets, Internationally : A Public-private Innovation Project for Developing a Tourist Data Analytic Platform. Proceedings of the 2018 IEEE 42nd Annual Computer Software and Applications Conference (COMPSAC). editor / Sorel Reisman ; Sheikh Iqbal Ahamed ; Claudio Demartini ; Thomas Conte ; William Claycomb ; Motonori Nakamura ; Edmundo Tovar ; Stelvio Cimato ; Chung-Horng Lung ; Hiroki Takakura ; Ji-Jiang Yang ; Toyokazu Akiyama ; Zhiyong Zhang ; Kamrul Hasan. IEEE, 2018. pp. 159-164

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title = "Understanding Mindsets Across Markets, Internationally: A Public-private Innovation Project for Developing a Tourist Data Analytic Platform",

abstract = "This paper presents an ongoing public-private innovation project that integrates unsupervised machine learning tools and a marketing theory, in order to analyze segment-based attitudes and behaviors of tourists. Our case study involving the major governmental tourism stakeholders emphasizes the importance of developing a user-friendly data analytic pipeline that carefully considers users' data collection procedure, easy access to the back-office computation algorithms, an interactive output data analysis workflow and its visualization. At the end of this paper, we present our vision to further develop a cloud-based tourist data collection platform.",

keywords = "Tourism data analysis, Unsupervised machine learning, Behavior prediction, Data visualization, Case study",

author = "Albers, \{Kristoffer Jon\} and Schmidt, \{Mikkel N{\o}rgaard\} and Marisciel Litong-Palima and Morten M{\o}rup and Rasmus Bonnevie and \{Kano Gl{\"u}ckstad\}, Fumiko",

year = "2018",

doi = "10.1109/COMPSAC.2018.10221",

language = "English",

isbn = "978-1-5386-2667-2",

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editor = "\{Sorel Reisman\} and \{Sheikh Iqbal Ahamed\} and \{Claudio Demartini\} and \{Thomas Conte\} and \{William Claycomb\} and \{Motonori Nakamura\} and \{Edmundo Tovar\} and \{Stelvio Cimato\} and \{Chung-Horng Lung\} and \{Hiroki Takakura\} and \{Ji-Jiang Yang\} and \{Toyokazu Akiyama\} and \{Zhiyong Zhang\} and \{Kamrul Hasan\}",

booktitle = "Proceedings of the 2018 IEEE 42nd Annual Computer Software and Applications Conference (COMPSAC)",

publisher = "IEEE",

address = "United States",

note = "2018 IEEE 42nd Annual Computer Software and Applications Conference, COMPSAC 2018 ; Conference date: 23-07-2018 Through 27-07-2018",

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Albers, KJ, Schmidt, MN, Litong-Palima, M, Mørup, M, Bonnevie, R & Kano Glückstad, F 2018, Understanding Mindsets Across Markets, Internationally: A Public-private Innovation Project for Developing a Tourist Data Analytic Platform. in SR, SIA, CD, TC, WC, MN, ET, SC, C-HL, HT, J-JY, TA, ZZ & KH (eds), Proceedings of the 2018 IEEE 42nd Annual Computer Software and Applications Conference (COMPSAC). IEEE, pp. 159-164, 2018 IEEE 42nd Annual Computer Software and Applications Conference, Tokyo, Japan, 23/07/2018. https://doi.org/10.1109/COMPSAC.2018.10221

Understanding Mindsets Across Markets, Internationally: A Public-private Innovation Project for Developing a Tourist Data Analytic Platform. / Albers, Kristoffer Jon; Schmidt, Mikkel Nørgaard; Litong-Palima, Marisciel et al.
Proceedings of the 2018 IEEE 42nd Annual Computer Software and Applications Conference (COMPSAC). ed. / Sorel Reisman; Sheikh Iqbal Ahamed; Claudio Demartini; Thomas Conte; William Claycomb; Motonori Nakamura; Edmundo Tovar; Stelvio Cimato; Chung-Horng Lung; Hiroki Takakura; Ji-Jiang Yang; Toyokazu Akiyama; Zhiyong Zhang; Kamrul Hasan. IEEE, 2018. p. 159-164.

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

TY - GEN

T1 - Understanding Mindsets Across Markets, Internationally

T2 - 2018 IEEE 42nd Annual Computer Software and Applications Conference

AU - Albers, Kristoffer Jon

AU - Schmidt, Mikkel Nørgaard

AU - Litong-Palima, Marisciel

AU - Mørup, Morten

AU - Bonnevie, Rasmus

AU - Kano Glückstad, Fumiko

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N2 - This paper presents an ongoing public-private innovation project that integrates unsupervised machine learning tools and a marketing theory, in order to analyze segment-based attitudes and behaviors of tourists. Our case study involving the major governmental tourism stakeholders emphasizes the importance of developing a user-friendly data analytic pipeline that carefully considers users' data collection procedure, easy access to the back-office computation algorithms, an interactive output data analysis workflow and its visualization. At the end of this paper, we present our vision to further develop a cloud-based tourist data collection platform.

AB - This paper presents an ongoing public-private innovation project that integrates unsupervised machine learning tools and a marketing theory, in order to analyze segment-based attitudes and behaviors of tourists. Our case study involving the major governmental tourism stakeholders emphasizes the importance of developing a user-friendly data analytic pipeline that carefully considers users' data collection procedure, easy access to the back-office computation algorithms, an interactive output data analysis workflow and its visualization. At the end of this paper, we present our vision to further develop a cloud-based tourist data collection platform.

KW - Tourism data analysis

KW - Unsupervised machine learning

KW - Behavior prediction

KW - Data visualization

KW - Case study

U2 - 10.1109/COMPSAC.2018.10221

DO - 10.1109/COMPSAC.2018.10221

M3 - Article in proceedings

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BT - Proceedings of the 2018 IEEE 42nd Annual Computer Software and Applications Conference (COMPSAC)

A2 - , Sorel Reisman

A2 - , Sheikh Iqbal Ahamed

A2 - , Claudio Demartini

A2 - , Thomas Conte

A2 - , William Claycomb

A2 - , Motonori Nakamura

A2 - , Edmundo Tovar

A2 - , Stelvio Cimato

A2 - , Chung-Horng Lung

A2 - , Hiroki Takakura

A2 - , Ji-Jiang Yang

A2 - , Toyokazu Akiyama

A2 - , Zhiyong Zhang

A2 - , Kamrul Hasan

PB - IEEE

Y2 - 23 July 2018 through 27 July 2018

ER -

Albers KJ, Schmidt MN, Litong-Palima M, Mørup M, Bonnevie R, Kano Glückstad F. Understanding Mindsets Across Markets, Internationally: A Public-private Innovation Project for Developing a Tourist Data Analytic Platform. In SR, SIA, CD, TC, WC, MN, ET, SC, CHL, HT, JJY, TA, ZZ, KH, editors, Proceedings of the 2018 IEEE 42nd Annual Computer Software and Applications Conference (COMPSAC). IEEE. 2018. p. 159-164 doi: 10.1109/COMPSAC.2018.10221

Understanding Mindsets Across Markets, Internationally: A Public-private Innovation Project for Developing a Tourist Data Analytic Platform

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