Differentiating persuasive factors for tourism booking websites: towards matrix factorization

The main challenges to increasing sales, usually lie with persuasion techniques and recommender systems. Persuasion Systems models (PSDs) analyse persuasion context, identifies the key issues and subsequently, enables mapping of persuasion techniques to functional requirements. This paper investigat...

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Main Authors: Lee, Chien-Sing *, Wong, Yew-Onn, Gui, Hui-Ying
Format: Book Section
Published: Institute Electrical and Electronics Engineers 2022
Subjects:
Online Access:http://eprints.sunway.edu.my/2305/
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author Lee, Chien-Sing *
Wong, Yew-Onn
Gui, Hui-Ying
author_facet Lee, Chien-Sing *
Wong, Yew-Onn
Gui, Hui-Ying
author_sort Lee, Chien-Sing *
building SU Institutional Repository
collection Online Access
description The main challenges to increasing sales, usually lie with persuasion techniques and recommender systems. Persuasion Systems models (PSDs) analyse persuasion context, identifies the key issues and subsequently, enables mapping of persuasion techniques to functional requirements. This paper investigates persuasive factors for tourism booking websites, with the aim of utilizing derived significant factors at different stages, as the bases for weighted criteria analyses, and matrix factorization, integral in fuzzy logic computations. Two parallel case studies are carried out. The first tourism booking website is designed, based on Cialdini's persuasion techniques for the Malaysian hotel/tourism context, and tested with customers and travel agencies. The second study investigates social CRM and associations between gender, age and income on a group of different sample respondents. User evaluation indicates different weighted factors at the search, review and booking stages, as well as different perceptions, with regards to cross-selling. Comparative findings with successful cross-selling companies, such as Lazada and Shoppee further highlight three core influencing factors. These have enabled us to add specificity to some constructs in Oinas-Kukkonen and Harjumaa's PSD dialogue support model, for the sampled Malaysian contexts. This triangulated approach can enable more holistic derivation of requirements and prediction and derivation of initial rules for future decision support systems.
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institution Sunway University
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last_indexed 2025-11-14T21:20:25Z
publishDate 2022
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spelling sunway-23052023-07-04T23:15:55Z http://eprints.sunway.edu.my/2305/ Differentiating persuasive factors for tourism booking websites: towards matrix factorization Lee, Chien-Sing * Wong, Yew-Onn Gui, Hui-Ying QA75 Electronic computers. Computer science ZA4050 Electronic information resources The main challenges to increasing sales, usually lie with persuasion techniques and recommender systems. Persuasion Systems models (PSDs) analyse persuasion context, identifies the key issues and subsequently, enables mapping of persuasion techniques to functional requirements. This paper investigates persuasive factors for tourism booking websites, with the aim of utilizing derived significant factors at different stages, as the bases for weighted criteria analyses, and matrix factorization, integral in fuzzy logic computations. Two parallel case studies are carried out. The first tourism booking website is designed, based on Cialdini's persuasion techniques for the Malaysian hotel/tourism context, and tested with customers and travel agencies. The second study investigates social CRM and associations between gender, age and income on a group of different sample respondents. User evaluation indicates different weighted factors at the search, review and booking stages, as well as different perceptions, with regards to cross-selling. Comparative findings with successful cross-selling companies, such as Lazada and Shoppee further highlight three core influencing factors. These have enabled us to add specificity to some constructs in Oinas-Kukkonen and Harjumaa's PSD dialogue support model, for the sampled Malaysian contexts. This triangulated approach can enable more holistic derivation of requirements and prediction and derivation of initial rules for future decision support systems. Institute Electrical and Electronics Engineers 2022-07-04 Book Section PeerReviewed Lee, Chien-Sing * and Wong, Yew-Onn and Gui, Hui-Ying (2022) Differentiating persuasive factors for tourism booking websites: towards matrix factorization. In: 2022 22nd International Conference on Computational Science and Its Applications (ICCSA). Institute Electrical and Electronics Engineers, pp. 1-8. ISBN 9781665455848 https://ieeexplore.ieee.org/document/10064406 10.1109/ICCSA57511.2022.00011
spellingShingle QA75 Electronic computers. Computer science
ZA4050 Electronic information resources
Lee, Chien-Sing *
Wong, Yew-Onn
Gui, Hui-Ying
Differentiating persuasive factors for tourism booking websites: towards matrix factorization
title Differentiating persuasive factors for tourism booking websites: towards matrix factorization
title_full Differentiating persuasive factors for tourism booking websites: towards matrix factorization
title_fullStr Differentiating persuasive factors for tourism booking websites: towards matrix factorization
title_full_unstemmed Differentiating persuasive factors for tourism booking websites: towards matrix factorization
title_short Differentiating persuasive factors for tourism booking websites: towards matrix factorization
title_sort differentiating persuasive factors for tourism booking websites: towards matrix factorization
topic QA75 Electronic computers. Computer science
ZA4050 Electronic information resources
url http://eprints.sunway.edu.my/2305/
http://eprints.sunway.edu.my/2305/
http://eprints.sunway.edu.my/2305/