Search results

This study aims to examine Braille usage among consumers with visual impairments, investigating motivations and addressing inherent challenges.

Drawing insights from 16 semistructured interviews with individuals experiencing blindness, this study reveals nuanced aspects of Braille utilization.

Three key motivations for Braille usage are identified: as a coping mechanism for functional needs and to combat stigma; as an embodied experience contributing to pleasure; and as a heritage embodying a culture of visual impairment. Obstacles include cultural and financial barriers to learning, incomplete retail transcriptions limiting practicality and spatial congestion issues.

This study underscores Braille’s dual function as both coping mechanism and cultural heritage. By highlighting obstacles, it sheds light on challenges faced by consumers with visual impairments, facilitating advocacy and promoting inclusive retail practices. Originality lies in recognizing diverse motivations and experiences among Braille users, offering insights for enhancing tactile engagement in the marketplace.

This paper aims to manage the word gap in information retrieval (IR) especially for long documents belonging to specific domains. In fact, with the continuous growth of text data that modern IR systems have to manage, existing solutions are needed to efficiently find the best set of documents for a given request. The words used to describe a query can differ from those used in related documents. Despite meaning closeness, nonoverlapping words are challenging for IR systems. This word gap becomes significant for long documents from specific domains.

To generate new words for a document, a deep learning (DL) masked language model is used to infer related words. Used DL models are pretrained on massive text data and carry common or specific domain knowledge to propose a better document representation.

The authors evaluate the approach of this study on specific IR domains with long documents to show the genericity of the proposed model and achieve encouraging results.

In this paper, to the best of the authors’ knowledge, an original unsupervised and modular IR system based on recent DL methods is introduced.

Consumers' responses to service failures are influenced not just by company-related issues but also by one's ability to react to stressful situations. The aim of this research is to explore the emotional intelligence of brand haters and transform them into forgivers.

This study used two qualitative methods, namely in-depth semi-structured interviews with a total of 17 participants who have different emotional intelligence levels (high, medium and low) and projective techniques with 6 participants.

This study's results showed that consumers with high and medium emotional intelligence feel less hate toward a brand and are more likely to forgive it, whereas consumers with low emotional intelligence feel more hate toward a brand and are unwilling to forgive it.

To the best of the authors' knowledge, this study is among the first to shed light on the importance of managing hate by consumers. Findings will help managers understand the importance of consumer personality in a management strategy and explain why some consumers forgive brands while others participate in anti-brand activities.