Abstract Post-pandemic surge in digital technology adoption has presented primary care with various organisational, technical, and regulatory challenges. In response, it becomes essential for organisations to gain a comprehensive understanding of digital transformation across diverse dimensions. This study addresses critical gaps in the literature by examining the interplay between digital maturity, job satisfaction, and organisational commitment within UK Primary Care Facilities, with a specific focus on their implications for decision-making processes. An online survey was conducted in Q2 2023 involving managers from UK Primary Care Facilities (n = 200). The collected data was analysed using descriptive statistics, reliability analysis, and structural equation modelling in order to assess digital maturity and to explore its influence on organisational commitment and job satisfaction. The findings reveal a high advancement of digital maturity among UK Primary Care Facilities. Digital maturity significantly and positively influences both organisational commitment and job satisfaction. Additionally, a positive relationship between job satisfaction and organisational commitment was observed. Furthermore, the paper makes a valuable contribution to the field by introducing a newly developed, comprehensive, and user-friendly scale for assessing digital maturity in Primary Care Facilities. The study highlights the significant impact of digital maturity on organisational commitment and job satisfaction among managers in the studied group. Increased adoption of digital tools and systems has positively influenced managers’ dedication and attitudes towards their work. Through an in-depth analysis of these relationships, this research contributes to a more nuanced understanding of how digital transformation influences managerial attitudes and behaviours in primary care, ultimately informing strategies for more effective organisational decision-making processes.

Abstract The study emphasizes affective dispositions and emotions to identify the hidden retail qualities that significantly influence consumer decision-making. Previous investigations have primarily focused on explicit retail attributes, often overlooking the impact of unconscious and semi-conscious judgments on customer experiences. To address this gap, we employ the Zaltman Metaphor Elicitation Technique (ZMET), a qualitative method designed to elicit consumers’ intrinsic sentiments and beliefs. Our research shows that emotions related to comfort serve as key filters, shaping consumer perceptions and purchasing behavior through an analysis of metaphors and subconscious associations. By offering a comprehensive methodological framework for ZMET, which remains underexplored in retail research, and providing a fresh perspective on the emotional dimensions of retail environments, the study makes a meaningful contribution to the existing body of literature. Additionally, our findings not only deepen the understanding of customer satisfaction within retail contexts but also provide valuable insights for retailers looking to enhance their marketing strategies and store design.