Purpose: Fear of Missing Out (FOMO) is characterized by the anxiety of missing out on others' experiences, and serves as a key motivator influencing consumer behavior on social media platforms. This study investigates how social media marketing (SMM) affects consumer purchase intentions for lifestyle products in India, with a particular focus on the mediating role of FOMO. Through empirical analysis of 367 Indian consumers, this research aims to provide insights into the interconnected dynamics of SMM, FOMO, and purchase intention in lifestyle products.Design/methodology/approach: This research adopts a quantitative approach, surveying 367 Indian consumers of lifestyle products in India. Utilizing structural equation modeling, the study assesses the relationships between social media marketing (SMM), Fear of Missing Out (FOMO), and consumer purchase intention. Data collection involves targeted surveys, and statistical analyses are employed to unveil the mediating role of FOMO in the SMM and purchase intention nexus.Findings: The study reveals exciting evidence supporting the significant influence of social media marketing on both FOMO and consumer purchase intention for lifestyle products. Importantly, FOMO emerges as a key mediator, elucidating its role in bridging the relationship between SMM and purchase intention. The findings underscore the dual impact of social media, directly shaping purchase intention and indirectly influencing it through the lens of FOMO.Originality/value: This study enriches the existing body of knowledge by elucidating the complex interplay between social media marketing, FOMO, and consumer behavior in India’s lifestyle product market. By identifying FOMO as a critical mediator, the research deepens the understanding of consumer decision-making in the digital era. The study’s originality lies in its theoretical contribution to consumer behavior literature, highlighting FOMO’s mediating role in the relationship between social media engagement and impulsive buying. Grounded in the Technology Acceptance Model (TAM) and the Theory of Planned Behavior, the research bridges existing gaps and provides practical implications for marketers.

This study developed an integrated model to examine the main factors affecting e-government services adoption in Saudi Arabia context. We extended the UTAUT model to explore factors affecting Saudi Arabia citizens to use e-government services. Data were collected from 1290 citizen and analysed using AMOS. The results indicated that all the variables of UTAUT model have a significant effect on intentions to use e-government services. The results also indicated that perceived awareness and self-efficacy have a significant effect on behavioural intentions. Moreover, religiosity moderates the link between perceived awareness, attitudes, self-efficacy, and behavioural intentions. Our study demonstrated the implications and future research directions. Request access from your librarian to read this article's full text.

This study examines the impact of explainable artificial intelligence (XAI) features on user satisfaction and purchase intention in Saudi mobile shopping applications, utilising the stimulus–organism–response (S–O–R) framework. With the increasing reliance on AI-driven decision support in e-commerce, enhancing transparency, fairness, trustworthiness, and interpretability has become crucial for shaping consumer perceptions and behavioural responses. The research employed a quantitative methodology using partial least squares structural equation modelling (PLS-SEM) to examine the relationships among stimulus factors, cognitive and affective states, consumer satisfaction, and purchase intention. In a survey of 597 respondents from Jeddah and Makkah, Saudi Arabia, the findings highlight that fairness and bias detection, trustworthiness, and transparency significantly influence consumers’ cognitive and affective states, which in turn enhance satisfaction and intention to purchase. Consumer satisfaction emerged as a critical mediator, reinforcing the role of positive emotional and cognitive experiences in driving purchase behaviours. However, interpretability showed limited impact, suggesting that consumers may prioritise fairness and trustworthiness over technical clarity of explanations. Theoretically, this study contributes to advancing knowledge on the role of XAI in consumer behaviour by integrating fairness, transparency, and affective responses into the S–O–R paradigm. From a managerial perspective, the results underscore the importance for mobile shopping platforms to design AI systems that foster trust, reduce perceived bias, and ensure transparency, thereby improving consumer engagement and purchase outcomes. By addressing gaps in interpretability and transparency, businesses can strengthen user trust and loyalty, ultimately enhancing competitive advantage in Saudi Arabia’s rapidly growing e-commerce sector.

This study investigates the antecedents and consequences of trust in e-government websites in Saudi Arabia. FSQCA and Structural equation modelling were used to analyse data collected from 504 participants. The findings indicate that our unified framework possesses some predictive ability regarding citizens' intentions to use e-government services, which was superior to existing theories. The findings indicate that (1) there is no sole factor that sufficiently motivates citizens to use e-government services; (2) three distinct settings of citizens' intention drivers are probable to lead in a significant level of citizens intending to use e-government services; and (3) Uncertainty avoidance has a moderating effect on citizens’, intention to use e-government services. The theoretical and practical implications were demonstrated.

Background: The prevalence of diabetes among young individuals has reached concerning levels, posing significant public health risks and exacerbating the economic burden on healthcare systems. The health outcomes of individuals with diabetes are heavily influenced by malnutrition and unhealthy dietary habits, which not only hamper effective blood glucose management but also negatively affect overall health perceptions. Introduction: This study analyzes the factors influencing malnutrition, food habits, and health perceptions among diabetic patients. Methods: A well-structured questionnaire was designed to collect data. A cross-sectional survey of 503 diabetic patients across various regions in India was conducted. Additionally, structural equation modeling, as well as mediation and moderation analyses, were performed. Results: The study findings revealed that dietary knowledge, dietitian-led interventions, and economic factors significantly influenced malnutrition and health outcomes. Conversely, nutritional quality did not emerge as a significant predictor. Discussions: The study will help pharmaceutical companies, governments, and healthcare practitioners in marketing dietary supplements, design focused dietary programs, and develop health education campaigns to improve diabetes patients’ quality of life. The findings illuminated the critical roles of dietary knowledge, dietitian-led interventions, economic factors, and lifestyle modifications in managing malnutrition and enhancing health outcomes. Conclusions: The study demonstrated significant mediation and moderation effects, emphasizing the complex interplay between food habits and malnutrition on health perceptions. However, nutritional quality was not a significant predictor, and the research underscored the necessity of holistic, personalized interventions. This will also help medical marketers in devising their marketing strategies.

This study explores the effectiveness of participative pricing strategies by examining the interplay between psychological triggers, ethical dilemmas, and tourist engagement in sustainable tourism. Drawing on the Theory of Planned Behaviour and SelfDetermination Theory, the research investigates their role in shaping psychological triggers that influence tourist motivation and engagement. Ethical dilemmas are also examined as a moderating factor in the relationship between psychological triggers and motivation. The study employs a quantitative, cross-sectional survey with stratified sampling and SEM analysis to examine psychological triggers, ethical dilemmas, and tourist engagement in participative pricing, advancing insights into sustainable tourism behaviour in India. In a survey of 449 Indian tourists using a structured questionnaire, the findings suggest that psychological ownership fosters psychological triggers, reinforcing tourist motivation towards sustainable engagement. Altruism and noveltyseeking significantly enhance psychological triggers, highlighting their importance in shaping responsible tourism choices. However, emotional gratification does not significantly impact psychological triggers, suggesting that sustainability-driven decisions are more value-oriented than hedonic. Ethical dilemmas play a crucial role in influencing tourist motivation, emphasizing the need for transparency and fairness in participative pricing models. This study enriches theory by linking psychological and ethical factors to participatory pricing in sustainable tourism and guides managers to enhance visitor engagement through ethical pricing, intrinsic motivation, and transparent communication strategies. This study contributes to sustainable tourism literature by examining the psychological and ethical aspects of participative pricing, paving the way for more consumer-centric and ethical tourism models.