76454 research outputs found
Sort by
Brand advocacy: a scoping review and future research agenda
No full textPurpose
The purpose of this paper is to conduct a comprehensive scoping review to examine how brand advocacy has evolved as a key construct in consumer–brand relationship research. Through systematic analysis of existing literature, this review clarifies the conceptual boundaries of brand advocacy, synthesises current knowledge and develops an agenda for future research.
Design/methodology/approach
By reviewing a selection of 172 studies, this research explores various aspects of the brand advocacy literature, including theories, methods, contexts, antecedents, outcomes, mediators and moderators. The review examines key themes and synthesises the theoretical and contextual foundations.
Findings
This review identifies significant gaps in the current literature, particularly regarding conceptual clarity and consistency, framework development, validation and contextual measurements. The findings of this study suggest guidelines for future research to advance scholarly understanding of brand advocacy.
Research limitations/implications
The insights from this review offer guidance for researchers and practitioners looking to advance the field of brand advocacy. This study highlights the importance of creating validated frameworks and addressing measurement issues to integrate the brand advocacy concept into consumer–brand relationship research.
Originality/value
This scoping review advances the field of brand advocacy by synthesising existing research, identifying critical gaps and proposing a coherent research agenda for future studies. This study contributes to the broader understanding of consumer–brand relationships and provides a foundation for developing more robust theoretical and practical frameworks in the domain
The breath of revolution: Illness and metaphor in the life of Ernesto "Che" Guevara.
Full text linkThis article examines the chronic asthma of Ernesto "Che" Guevara not merely as a biomedical condition, but as a metaphorical and existential element of his revolutionary identity. Drawing on Aristotle's theory of metaphor and S. Sontag's cultural critique of illness, it explores how Guevara's lifelong struggle with asthma shaped his medical vocation and informed his political radicalism. Through a close reading of primary sources-including Guevara's letters, diaries, and biographical accounts-this study contextualizes his disease as both a personal crucible and a symbol of rebellion. The article situates Guevara within a lineage of physician-activists, alongside Albert Schweitzer and Frantz Fanon, to consider the transformative potential of embodied suffering in revolutionary praxis
Respiratory syncytial virus hospitalisation by chronological month of age and by birth month in infants
Full text linkUnderstanding the distribution of respiratory syncytial virus (RSV) disease burden by more granular age bands in infants is necessary for optimising infant RSV immunisation strategies. Using a Bayesian model, we synthesised published data from a systematic literature review and unpublished data shared by international collaborators for estimating the distribution of infant RSV hospitalisations by month of age. Based on local RSV seasonality data, we further developed and validated a web-based prediction tool for estimating infant RSV hospitalisation distribution by birth month. Although RSV hospitalisation burden mostly peaked at the second month of life and was concentrated in infants under six months globally, substantial variations were noted in the age distribution of RSV hospitalisation among infants born in different months. Passive immunisation strategies should ideally be tailored to the local RSV disease burden distribution by age and birth month to maximise their per-dose effectiveness before a universal immunisation can be achieved
Police-Identified Psychological Distress and Substance Use Among Male Intimate Partner Stalkers in the Western Australia Criminal Justice System
No full textThis project examined violence, substance use, and psychological distress among men reported to police for stalking a woman ex-partner. A scoping review systematically mapped stalkers’ substance use for the first time. Analysis of police incident reports showed ex-partner stalker men were not a homogenous group and differentiating the type and severity of their behaviour was important. The findings suggest that police officers should screen for stalkers’ drug use, severe threats, and suicidality during risk assessment
A Just Transition for Western Australia: Advancing Business Respect for Human Rights in the Deployment of Wind and Solar Energy Projects
No full textThe thesis examines how international, Commonwealth and state-level factors shape expectations of wind and solar energy developers in Western Australia to contribute to a just transition by respecting human rights. It identifies three key barriers to a just transition: fragmented regulation, sector underperformance on human rights, and gaps in emerging human rights due diligence laws. The thesis proposes how barriers could be addressed through legislation and sets out a good practice framework for WA project developers
Production scheduling optimisation using mixed integer programming with machine learning dilution prediction capabilities for underground open stoping operations
Full text linkFor decades, Mixed Integer Programming (MIP) has been successfully utilised to optimise production schedules in underground mining, with increasingly notable results reported. However, recurrent inconsistencies between schedule forecasts and actual production due to imprecise input assumptions, such as mining dilution factors, subtly impair the robustness of optimal solutions, with detrimental hierarchical effects on the business’s cashflow projections and profitability. To address this, this study leverages emerging applications of Machine Learning (ML) and adjacent technologies that are revolutionising intelligent prediction of dilution in underground mining operations. The study proposes a synergistic nexus between MIP and ML models using ML-predicted dilution on a per-stope granularity instead of the traditional single dilution factor to improve the schedule’s forecasting accuracy. A sample of 61 stopes from an underground open-stoping operation was used to create and optimise schedules based on empirically determined and ML-predicted dilution factors. Study findings revealed a 3.1% higher net present value (NPV) for MIP-optimised schedules over manual schedules for the same dilution factor (empirical). Further, it was also noted that the ML-predicted dilution at 74% accuracy on a per-stope granularity enhances the MIP-optimised schedules’ tonnage forecast precision by at least 4 % and the NPV by at least 2 % compared to MIP-optimised schedules using the single dilution factor over a 16-month period. Additionally, results revealed that MIP schedules augmented with ML-predicted dilution demonstrated greater flexibility in navigating schedule constraints, leading to better schedule responsiveness and granularity on forecasts. Thus, the study improves optimal solutions’ robustness, reliability and production scheduling efficacy
