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This paper seeks to demonstrate the value of using social media to capture fashion trends, including the popularity of specific features of clothing, in order to improve the speed and accuracy of supply chain response in the era of fast fashion.

This study examines the role that text mining can play to improve trend recognition in the fashion industry. Researchers used n-gram analysis to design a social media trend detection tool referred to here as the Twitter Trend Tool (3Ts). This tool was applied to a Twitter dataset to identify trends whose validity was then checked against Google Trends.

The results suggest that Twitter data are trend representative and can be used to identify the apparel features that are most in demand in near real time.

The 3Ts introduced in this research contributes to the field of fashion analytics by offering a novel method for employing big data from social media to identify consumer preferences in fashion elements and analyzes consumer preferences to improve demand planning.

The 3Ts improves forecasting models and helps inform marketing campaigns in the apparel retail industry, especially in fast fashion.

This study examines the effectiveness of Zero-Contact Marketing that minimizes contact between employees and consumers in marketplaces by adopting an integrated research framework of motivation theory, servicescape model and the theory of reasoned action (TRA).

This study randomly collected 314 respondents through an online survey in May 2020 in South Korea. Structural equation modeling (SEM) assessed the overall hypothetical research model.

Zero-Contact Marketing facilitates the positive impacts of Korean consumers' motivations (intrinsic and extrinsic) and service environment on their word-of-mouth (WOM) intention to spread information about a store offering Zero-Contact Marketing service and the store revisit intention. In addition, consumers' attitude toward Zero-Contact Marketing and shopping pleasure (SPL) has stronger impacts on consumers' WOM intention than they do on the store revisit intention.

The limitation of this study lies in that the survey participants responded only in South Korea, which may lead to biased results. To provide a more generalized insight, this study should be extended by considering consumers in other countries, since many consumers around the world tend to minimize face-to-face interaction and avoid unnecessary interruptions under the current pandemic.

By minimizing the social interaction between employees and consumers, Zero-Contact Marketing may increase consumers' shopping satisfaction with free shopping moments and no disturbance, especially under the COVID-19 pandemic.

The findings provide theoretical contributions by empirically validating the effects of intrinsic and extrinsic motivations and service environment on consumers' internal and external responses in a Zero-Contact retail setting.

This study aims to examine the following issues: whether consumers use a dog’s facial expressions and gaze on a product’s packaging to interpret the emotions of a dog and evaluate product quality and how owner identification with the dog moderates the effect of a dog’s facial expressions on product evaluations.

A field study and three lab experiments were conducted to examine the moderating roles of a dog’s gaze on the product package (Study 1) and owner–dog identification (Study 2) in the effect of facial expressions of a dog on product evaluations.

Results showed that the facial expressions of a dog presented on the product package influenced the perceived mood of a dog and product quality evaluation. The effects of the facial expressions were strengthened when the dog looked at the front. Furthermore, those who were more likely to identify with their dog tended to be more responsive to the dog with a smiling face and evaluated the product quality more positively than those who were less likely to identify with their dog.

Marketing practitioners in the pet industry can use the findings of this study to select and place an appropriate pet image on the product package. Happy facial expressions and the direct gaze of a pet can influence positive evaluations of a product and, as a result, increase the purchase intention. Product managers also can place words, phrases or images on the product package that highlight a dog as an inseparable part of the owner’s everyday life and as a representation of his/her identity. Emphasizing the owner’s dog as an extension of him/herself or a part of his/her identities can encourage the active processing of a dog’s facial expressions on the product package and the positive evaluation of a product.

The present work adds valuable empirical findings to the limited marketing literature for the pet-related industry. The results of the experiments showed how consumers process the facial expressions and gaze of a dog and use them to infer the quality of a product. Furthermore, the findings extend prior literature reporting that dog owners with a greater identification are more likely to humanize their pet dogs and develop empathetic abilities.

This study uses computer-aided design to improve the ecological and environmental sustainability of early-stage landscape designs. Urban expansion on open land and natural habitats has led to a decline in biodiversity and increased climate change impacts, affecting urban inhabitants' quality of life and well-being. While sustainability indicators have been employed to assess the performance of buildings and neighbourhoods, landscape designs' ecological and environmental sustainability has received comparatively less attention, particularly in early-design stages where applying sustainability approaches is impactful.

The authors propose a computation framework for evaluating key landscape sustainability indicators and providing real-time feedback to designers. The method integrates spatial indicators with widely recognized sustainability rating system credits. A specialized tool was developed for measuring biomass optimization, precipitation management and urban heat mitigation, and a proof-of-concept experiment tested the tool's effectiveness on three Mediterranean neighbourhood-level designs.

The results show a clear connection between the applied design strategy to the indicator behaviour. This connection enhances the ability to establish sustainability benchmarks for different types of landscape developments using parametric design.

The study allows non-expert designers to measure and embed landscape sustainability early in the design stages, thus lowering the entry level for incorporating biodiversity enhancement and climate mitigation approaches.

This study expands the parametric vocabulary for measuring landscape sustainability by introducing spatial ecosystem services and architectural sustainability indicators on a unified platform, enabling the integration of critical climate and biodiversity-loss solutions earlier in the development process.