Abstract
Blockchain technology is expected to play a pivotal role in innovation across various sectors in the near future, facilitating long-term and sustainable growth for businesses and the economy. The food retail sector, in particular, can greatly benefit from blockchain technology, as food safety remains a top priority for stakeholders, particularly consumers. This chapter examines the advantages of blockchain technology in the food retail sector and presents a case study of a Portuguese food retail corporation. The case study explores whether the company should expedite the adoption of blockchain technology in its supply chain management. The conclusions drawn from this study help managers in making informed decisions regarding future strategy implementation, intending to enhance supply chain efficiency, safety, and transparency. Furthermore, these findings will provide valuable insights for other players in the food retail sector grappling with similar challenges. © 2023, IGI Global.

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This article fills a gap in the literature by exploring e-shoppers' views on the ability of verbal and visual cues to represent scents of unknown perfumes. In-depth face-to-face interviews were conducted with 27 consumers from Brazil, Iran, and Portugal. Results demonstrate that visual cues could complement verbal descriptions in conveying the type of scent of perfumes. In addition, this study identified a set of associations between several colors and types of scents. Overall, this article argues that consistent combinations of perfume components' symbolic and sensory verbal descriptions, colors, and images should be developed to effectively convey the scent of an unknown perfume, which can attract more e-shoppers and eventually boost online sales. Cross-cultural comparisons are also highlighted. The present study advances the knowledge of how perfume companies and e-tailors can take the advantage of implementing sensory cues to facilitate the online purchase of a typical experience product. Copyright © 2023 (Barbosa, Oliveira, Chkoniya, Mahdavi).

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The main objectives of this chapter are to provide an overview of chatbot personality dimensions and to analyze the expected impacts on user behavior. To accomplish these objectives, the chapter provides a detailed review of the main contributions in the literature regarding this topic. It highlights the chatbot personality characteristics that are expected to foster user satisfaction, trust, loyalty, and engagement. This information is useful for both practitioners and researchers, particularly related to customer service, as it provides clear guidance on what characteristics to incorporate in chatbots and on what factors need to be further studied in the future.