Consumers' preference for urban last-mile delivery: effects of value perception and long-term COVID-initiated contextual shifts

The economic and environmental challenges associated with Last Mile Delivery (LMD) give rise to the self-collection concept, yet the practical adoption is often below expectations. In this consumer-centric segment, adequate understandings of consumers are vital but are often lacking. To address this gap, this study examines consumers' LMD preference with the Integrated Choice and Latent Variable framework. A stated choice experiment was commissioned in Singapore during the transition of COVID pandemic toward endemic. Our results showed that consumers accept unattended delivery methods and are no longer concerned with the delivery time window, a traditionally critical delivery attribute. Regarding latent perceptions, this study confirmed the significant effects of value perception on self-collection preferences. Nonetheless, individuals' environmental consciousness was found to be insignificant. The relative effects of specific value statements were quantified using the marginal rate of substitution and the mediation roles of value perception on the sociodemographic-preferences relationships were validated.

Social determinants of panic buying behaviour amidst COVID-19 pandemic: The role of perceived scarcity and anticipated regret

Panic buying behaviour is inherently undesirable due to its detrimental impact on community's resources and disruptions to supply chain systems. The prevailing COVID-19 pandemic has seen a resurgence of this phenomenon across the world, leaving supermarkets in stockout situations. While panic buying is largely reasoned as a psychological reaction to an extreme event, it is also a socially relevant behaviour as our perception of a crisis can be shaped by our observations and interactions within the society. The social determinants of panic buying behaviour, particularly on how these factors heighten one's perception of scarcity, and trigger panic buying behaviour, are studied. A theoretical model is developed to explain panic buying behaviour in a social context by synthesizing various social and behavioural theories, and the inter-relationship among the latent constructs is analysed using the structural equation modelling approach. Accordingly, an online survey was administered and analysis of the data confirmed that non-coercive social influence, social norm and observational learning directly influence one's perception of scarcity. Additionally, perceived scarcity can motivate panic buying behaviour directly or indirectly through feelings of anticipated regret. This study has contributed to the limited literature on panic buying. Understanding the underlying mechanisms of panic buying will aid policymakers and businesses in developing intervention or support strategies to cope with such behaviour.

An investigation of technology-dependent shopping in the pandemic era: Integrating response efficacy and identity expressiveness into theory of planned behaviour

The COVID-19 pandemic has led to a rapid surge of digitalisation in shopping activities. Although the rising phenomenon of technology-dependent shopping is sensational, the subtle motivations that cause such a phenomenon remain to be explored. Thus, extending the theory of planned behaviour (TPB), this study investigates two distinct motivations (i.e. to respond to health concerns and to express self-identity) that lead to technology-dependency among modern shoppers. A survey instrument is adopted for data collection online targeting adult shoppers in Singapore, and the data (n = 519) are analysed using structural equation modelling. Results reveal that the two motivations mediate the relationship between subjective norm/perceived behavioural control and shoppers’ behavioural intention. The response- and identity-mediated paths lead to differentiated behavioural consequences: the former is associated with only shoppers’ engagement intention with shopping technologies, whereas the latter also instigates the habit of technology-dependent shopping. The findings contribute to the TPB framework by confirming the mediator role of two context-specific motivations. The revealed habit formation process of technology-dependent shopping provides practical implications in managing the retailer-shopper relationship in the pandemic era. © 2022 Elsevier Inc.

What influences panic buying behaviour? A model based on dual-system theory and stimulus-organism-response framework

Panic buying has been observed across many regions during the COVID-19 pandemic which greatly disrupts supply chains and market economies. The determinants of panic buying, upon being identified, can be applied to control the escalation of panic buying behaviour that is highly detrimental to societies. This research aims to synthesise the dual-system theory and stimulus-organism-response framework to investigate into the causes of panic buying. Structural equation modelling is employed to analyse data collected from 508 residents in Singapore. The results reveal that panic buying can be explained as a response to both environmental stimuli and reflective thinking. Specifically, perceived susceptibility and perceived severity of a pandemic event as well as social influence and social norm can stimulate consumers' perceptions of scarcity and affective response, which in turn leads to the impulsive decision of panic buying;meanwhile, a rational reflection which is operationalised by perceived lack of control also influences panic buying. Furthermore, the perceived lack of control positively moderates the effect of affective response on panic buying. Theoretically, this research provides a unique explanation of panic buying. The findings also provide managerial implications on dealing with panic buying in response to disasters such as a health crisis. © 2021 Elsevier Ltd

Exploration of an integrated automated public transportation system

The COVID-19 pandemic triggers a pause in the urban transport system by creating disruptive impacts on both passenger and delivery services. A key prompt stemming from the outbreak of COVID-19 is for transportation engineers to re-think existing issues regarding urban transportation system and to develop innovative solutions to better cater to demands. An urban-based integrated automated public transportation system (APTS) that serves both people and freight is examined which leverages on emerging technologies such as information communication technology and automated vehicle. An illustrative example of an APTS, namely Dynamic Autonomous Road Transit (DART), is introduced, and the technical challenges are summarised. An APTS typology and components to model such an integrated mobility system for the urban area are described. Issues concerning business model and governance intervention to promote such an urban integration are explicitly discussed. © 2020 The Authors