Sunway University is a private university in Bandar Sunway, Subang Jaya, Selangor, Malaysia. It has a 10 hectare (24 acre) campus comprising academic and residential blocks adjacent to the Sunway Lagoon theme park.It offers undergraduate and postgraduate programmes taught in English.The President of Sunway University, Professor Sibrandes Poppema was appointed in 2021, further strengthening the University’s capacity and strategic leadership in a global setting. Professor Poppema joined Sunway University in 2019 after retiring as the President of University of Groningen in the Netherlands. Professor Poppema, a Tan Sri Jeffrey Cheah Distinguished Professor is also an advisor to the establishment of the new medical school at Sunway University. Its Vice-Chancellor is Professor Graeme Wilkinson, who was appointed from the UK in 2012. He is supported by a Deputy Vice-Chancellor and a Provost. In 2018 the University established its own academic publishing arm, Sunway University Press.
The literature has frequently studied the effect of privacy concerns, irritation, trust, incentives, enjoyment, innovativeness, usefulness, ease of use and subjective norms on mobile advertising value. However, the findings are inconsistent regarding the real effect of these antecedents, leaving practitioners uncertain about which antecedents to rely upon to design effective mobile advertisements triggering a problem for them. Using a meta-analytic approach, the current research synthesises 211 empirical studies to test the relationship between these antecedents and advertisement value, which subsequently influences attitudes, intentions, and actual behaviour of receiving mobile advertisements. In terms of findings, our study suggests that usefulness is the strongest driver of advertisement value, whereas irritation is the strongest mitigator, and subjective norms have minimal influence. Similar patterns were observed for the effect of the antecedents on attitudes and intentions. Findings also suggest that strength of these relationships varies depending on contexts and methodological approaches adopted in prior studies. Specifically, the effects of antecedents on the outcome variables are comparatively stronger in recent studies, published in high-quality journals, in developed countries, younger samples, experimental designs, smartphone contexts, customized ads, permission-based and location-aware ads, and in-app formats. Accordingly, this study resolves the inconsistent findings of previous research which makes a novel contribution to the mobile advertising literature. Regarding implications, we recommend mobile advertisers use precision targeting using customers’ geographical area and age group, prioritise customised content over generic campaigns, and adopt permission-based communication as a standard practice.
Population ageing and demographic shifts in the European Union are placing increasing strain on traditional pension systems, shifting greater responsibility to individuals to ensure their own retirement preparedness. In this context, identifying factors that strengthen individuals’ confidence in their retirement readiness has become increasingly important. This study examines the role of trust in financial advisors in shaping retirement preparedness and investigates a serial mediation mechanism through financial behavior and financial resilience. Drawing on the financial capability framework, the study emphasizes the importance of behavioral and capacity-building processes that translate trust into improved retirement outcomes. Using a large-scale dataset from European Union member states, the proposed relationships are empirically tested using PROCESS Model 6. The results show that trust in financial advisors is positively associated with retirement preparedness, both directly and indirectly through financial behavior and financial resilience. By integrating trust, financial behavior, and resilience into a unified analytical framework, this study contributes to the literature on household finance and retirement planning. The findings also offer practical implications for policymakers and financial service providers seeking to improve retirement readiness in ageing societies.
Mixed methods research has a prominent place in tourism and hospitality scholarship, yet adoption has advanced faster than methodological selectivity, which leaves many studies combining qualitative and quantitative strands without explaining why both strands were necessary, how the strands were related, or what integrated inference their combination alone made possible. Drawing on a critical review of 222 mixed methods studies published in leading tourism and hospitality journals, this article identifies dominant patterns, strengths and weaknesses, and underused possibilities. In response, the article offers a stage-based guide that links problem formulation, purpose selection, design fit, sampling bridges, strand roles, integration, divergence handling, reporting architecture, and contribution development. In doing so, the article advances a more demanding standard for mixed methods scholarship and argues that the next phase of tourism and hospitality research should shift from routine method combination toward integrated inferences that are conceptually sharper, methodologically clearer, and practically more useful.
The debate on generative and agentic artificial intelligence (AI) in management education has centered on whether students may use AI, yet the larger question is what student work can still prove. Once AI can draft and polish a case analysis, an essay, or slides, polished work stops being strong evidence of what a student can do. This article calls the resulting problem credential integrity (i.e., whether a business school can defend what its degree certifies when AI may have produced the graded work). Policies on detection, disclosure, and originality cannot solve this problem, given that all three ask who produced the work and leave intact the assumption that good work proves a capable student. In response, this article draws on assessment scholarship, policy research, and validity theory to propose a verified-judgment architecture in which high-stakes certification rests on unaided command of core concepts and methods, reasoning defended when questioned, positions reconsidered when challenged, learning transferred to changed conditions, and accountable decision making. The architecture is translated into program-level responsibilities for school leaders and redesigned assessments for teachers, neither of which requires a ban on AI or the false belief that an AI-free submission proves learning. A reality check of 84 business schools shows how far practice is from this standard, given that schools describe AI access, curriculum integration, and faculty development more fully than any proof of what the degree certifies and only one school in seven reports a safeguard (e.g., a defended capstone or work kept free of AI).
PurposeGrowing amounts of e-waste containing metal and non-metal components require specialised disposal and processing to prevent adverse environmental and health impacts. On this matter, consumers play a crucial role in the proper disposal of e-waste. This study aims to investigate the role of habit, moral norms, convenience-situational factors and environmental values on e-waste recycling behaviour, drawing on the theory of planned behaviour (TPB).Design/methodology/approachThis quantitative study used non-probability quota sampling. A survey using an online questionnaire obtained 463 responses after data cleaning. Data analysis was conducted using partial least squares structural equation modelling (SmartPLS4).FindingsThe results indicate that habit, convenience-situational factors, perceived behavioural control and moral norms significantly affect e-waste recycling behaviour, bypassing intention. This finding shows the capacity to perform the behaviour and suggests a habitual and spontaneous performance of behaviour or the non-deliberative decision-making pathway, foregoing the conscious formation of intention. From a goal-directed behaviour perspective, values can motivate behaviour performance either through reasoned and conscious decision-making or spontaneous and non-conscious decision-making. Also, the results highlight environmental values as a notable predictor in influencing attitude and moral norms.Originality/valueIn Malaysia, there is a strong need to understand e-waste recycling behaviour to design better e-waste management systems. TPB emerges as the dominant model used in this context, and recent advances in TPB present sound evidence for extending the model with key variables that may improve intention and behaviour prediction. Thus, this study extends TPB with factors accounting for non-conscious processes and external factors. TPB is extended with habit (accounting for the dual process model of cognition), moral norms, convenience-situational factors and environmental values to further investigate consumer motivation.
