Browsing by Author "Linardi, Marcelo Augusto"
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- Consumer vulnerability and well-being across contexts: Implications for international businessesPublication . Duarte, Paulo; Linardi, Marcelo Augusto; Domingues, Helena Sá; Silva, Susana C.This article assesses the relationship between consumer vulnerability (CV) and well-being (WB) by comparing the effects of ordinary (non-pandemic) and pandemic consumption contexts among Portuguese and Brazilian consumers. Data on pre-and post-pandemic perceived vulnerability and well-being from a cross-cultural sample of 397 consumers were analyzed through structural equations modelling using the PLS-Path. The results revealed an inverse relationship between CV and well-being, which worsened with the emergence of the pandemic. Refund Policies, Product Promotions and Purchase Ability are the dimensions of CV identified as the most affected by the COVID-19 outbreak. Furthermore, fear proved to mediate the effect of vulnerability on well-being partially. The findings allow us to conclude that the most disrupted CV dimensions during COVID-19 are Refund Policy (RP), Purchase Ability (PA), and Product Promotion (PP). Studies comparing consumer vulnerability in international contexts are scarce. By finding the most critical dimensions of CV during a pandemic crisis, this study provides novel insights for companies and public institutions when planning responses and strategies to future disruptive occurrences. The conclusions represent an original contribution by analysing and comparing consumers' vulnerability in an everyday consumption situation and an extreme situation deployed by the COVID-19 pandemic. Valuable insights for governments and policymakers are provided. Firms working in international markets can use the insights to adapt their business strategy as effects on well-being vary across cultures.
- Understanding the implementation of retail self-service check-out technologies using necessary condition analysisPublication . Duarte, Paulo; Silva, Susana C.; Linardi, Marcelo Augusto; Novais, BeatrizPurpose Self-service check-out technologies (SSTs) are becoming a trend across different retail settings, allowing companies to gain efficiency and reduce costs. Nevertheless, the success of SSTs implementation is still subject to challenges and uncertainties. This study aims to provide insights for theory and managers on the necessary conditions for the successful implementation of retail SSTs. Design/methodology/approach Based on an online survey, data from 251 participants were collected to understand the factors predicting SSTs adoption and realise what conditions are mandatory for the adoption. partial Least Squares Structural Equation Modelling (PLS-SEM) and necessary condition analysis (NCA) were used to analyse the data. Findings According to the NCA analysis results, 12 latent variables were relevant for predicting SSTs adoption, but only seven were necessary conditions for user adoption. Originality/value The complementarity of perspectives for understanding the adoption of SSTs based on the two data analysis techniques provides novel insights into theory and support for retailers' decision-making on self-service technologies (STTs) implementation.