A meta-analysis on the effects of product scarcity

Product scarcity can influence purchase decisions, but this relationship is multifaceted due to the influence of various cues. This study aims to integrate knowledge of this subject through a meta-analysis. The findings suggest that the likelihood of purchasing a scarce product is greater under (i) scarcity conditions of excessive demand (rather than restricted supply) and variety (rather than a category), but not urgency (limited quantity and limited time) scarcity, and (ii) product conditions of enduring luxuries (as opposed to transitory luxuries) and the presence (rather than absence) of social signaling and seasonality. From a theoretical standpoint, this study offers a typology of product and scarcity cues and employs a meta-analysis to enhance our understanding of the relationships between product scarcity, product and scarcity cues, and purchase decisions, resulting in the establishment of a heterogeneous theory of product scarcity. From a managerial standpoint, the study suggests that product scarcity can affect purchase decisions and can be ethically utilized as a marketing strategy.

Acceptance of service robots: a meta-analysis in the hospitality and tourism industry

Robot services have become an essential competitive differentiator in the hospitality and tourism industry. Seminal studies indicate the need for more profound knowledge about the factors that can increase the acceptance of service robots. This paper investigates the relationship between informational cues and acceptance of service robots through a meta-analysis. Our study also analyzes the acceptance of service robots through contextual characteristics moderators. The results showed that perceived robot trust influences the relationship between informational cues (anthropomorphism and social influence) and acceptance of service robots. By analyzing previous studies, our framework demonstrates that acceptance of service robots has increased more after the COVID pandemic than before the COVID pandemic. Furthermore, the relationship between attitude toward robots and robot usage intention tends to be greater in humanoid service robots (than social robots) and analytical intelligence (than mechanical intelligence). © 2023 Taylor & Francis Group, LLC.

Gendered Experiences of Software Engineers During the COVID-19 Crisis

Although gender divides are largely due to cultural and environmental conditions, changes in the nature of professional and domestic work due to the COVID-19 pandemic have had unprecedented implications on gender inequality.