The Champion of Images: Understanding the role of images in the decision-making process of online hotel bookings

Overgoor, Gijs; Rand, William; Dolen, Willemijn van

doi:10.24251/hicss.2020.498

Cited by 5 publications

(3 citation statements)

References 20 publications

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“…These findings persist for the general analysis of all reviews as well as the hotel-specific analysis. In line with previous research, we can conclude that text-and imagery are complementary and that mining opinions and summarizing consumer perceptions is most accurate when they are examined together [15,9].…”

Section: Discussionsupporting

confidence: 90%

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Text vs. Image: An application of unsupervised multi-modal machine learning to online reviews

Mestri¹,

Bollam²,

Overgoor³

et al. 2022

Proceedings of the Annual Hawaii International Conference on System Sciences

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Online user-generated reviews provide a unique view into consumer perceptions of a business. Extant research has demonstrated that text mining provides insight from textual reviews. More recently, we haven seen the adoption of image mining techniques to analyze visual content as well. With data comprising of user-generated imagery (UGI) and textual reviews, we propose to perform a combination of text-and image mining techniques to extract relevant attributes from both modalities. The analysis allows for a comparison between textual and visual content in online reviews. For the UGI analysis, we use a Deep Embedded Clustering model and for the User Generated Text Analysis we use a TF-IDF based mechanism to obtain attributes and polarities.The overall goal is to extract maximum information from text and images and compare the insights we gather from both. We analyze if any modality is self-sufficient or better than the other and also if both modalities combine to give similar or contrasting insights.

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Section: Discussionsupporting

confidence: 90%

“…Text and images hold a lot of information. The combination of both information sources has shown to be highly effective for prediction [14] or in the impact they have during online consumer decision-making [15]. For this reason, the main focus of this paper is the comparison of the textual and visual components of online reviews.…”

Section: Introductionmentioning

confidence: 99%

Text vs. Image: An application of unsupervised multi-modal machine learning to online reviews

Mestri¹,

Bollam²,

Overgoor³

et al. 2022

Proceedings of the Annual Hawaii International Conference on System Sciences

Self Cite

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“…Specifically, color variations of the product context have been shown to provoke trust (i.e., blue) (Broeder & Van Doremalen, 2021;Broeder & Snijder, 2019) or emotion (i.e., red) (Broeder & Wildeman, 2021), within the online shopping environment. Future visual marketing studies might explore more in detail the complexity of information contained in the image itself (Overgoor et al, 2020;Song et al, 2018) as well as in the context of the image (Maier & Dost, 2018;Yoo & Kim, 2014).…”

Section: Limitations and Further Investigationsmentioning

confidence: 99%

The Impact of Product Tagging on Trust and Purchase Intention: A cross-cultural perspective in visual e-commerce

Broeder

Schouten

2022

CBR

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The present study aims to examine the opportunity of in-app shopping, more specifically, analyzing the influence of product tags and cultural background on consumers’ trust and purchase intention. For this purpose, a comparison was made between European and South American female consumers from two cultures: the Netherlands and Paraguay. A total of 225 subjects, 143 from the Dutch background and 82 from the Paraguayan background, participated in an experimental survey where they judged an Instagram product page (product tag: present vs. absent). The analysis of the results revealed that the Paraguayans had higher purchase intentions than the Dutch. Additionally, the presence of a text appeal in the visual product presentation had a direct positive effect on consumers’ purchase intentions and perceived trust in the shopping environment, for both the Dutch and Paraguayan cultural groups. In virtual web shops, perceiving trust is a decisive point for purchase intentions. This study contributes to the fast-growing investigations on social media effectiveness and visual marketing as an informative and persuasive tool. The findings pinpoint the synergic value of visual and textual cues of product presentation online in the atmospheric trust of in-app shopping.

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Explainable fashion compatibility Prediction: An Attribute-Augmented neural framework

Li,

Yu,

Chen

et al. 2024

Electronic Commerce Research and Applications

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The Champion of Images: Understanding the role of images in the decision-making process of online hotel bookings

Cited by 5 publications

References 20 publications

Text vs. Image: An application of unsupervised multi-modal machine learning to online reviews

Text vs. Image: An application of unsupervised multi-modal machine learning to online reviews

The Impact of Product Tagging on Trust and Purchase Intention: A cross-cultural perspective in visual e-commerce

Explainable fashion compatibility Prediction: An Attribute-Augmented neural framework

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