My research portfolio reflects a sustained commitment to rigorous, high-impact scholarship advancing knowledge in finance, financial technology, capital markets, sustainability, and business education.
My work spans Scopus Q1–Q3 journals, ABDC-ranked outlets, edited books with leading global publishers, and practitioner-facing platforms — demonstrating breadth, depth, and real-world relevance.
Purpose This study aims to synthesize existing empirical findings to identify the primary drivers of robo-advisor (RA) adoption in financial services. It addresses inconsistencies in the literature regarding key predictors – such as trust, perceived risk and usefulness – and investigates how national, economic and cultural factors moderate these relationships. By examining 41 studies across...
Purpose This meta-analysis examines the effects of risk perception and trust on the technological adoption of financial services. By integrating findings from multiple studies, it aims to identify the overall influence of these factors while assessing the role of moderators that shape adoption patterns. This study seeks to clarify how risk and trust interact across...
Purpose This study aims to synthesize meta-analytic research in the banking sector by mapping thematic clusters and identifying theoretical and methodological patterns. It highlights how meta-analyses contribute to understanding heterogeneity across banking contexts. Design/methodology/approach A systematic literature review was conducted across seven academic databases using targeted search terms. Four thematic clusters were identified: technology adoption,...
Artificial intelligence (AI) is transforming the dimension of financial technology, also known as fintech, by automating procedures, boosting risk assessment, increasing user experience, and making transaction-level fraud detection easier to carry out in real time. Nevertheless, the speedy adoption of AI by the finance sector has raised a lot of concerns on ethical AI governance,...
This book discusses the financial impact of Artificial Intelligence (AI) on the finance and business sectors. By providing readers with comprehensive insights, real-world case studies, and expert discussions, it delves into various applications of AI in finance, including NLP for financial document analysis, predictive analytics, explainable AI, and blockchain integration. Covering a range of topics,...
As artificial intelligence (AI) becomes increasingly embedded in service delivery, ethical concerns around transparency, fairness, surveillance, and accountability have intensified. Despite a growing body of research, studies remain conceptually fragmented and lack a cohesive analytical framework. This study responds to that gap by systematically reviewing 99 peer-reviewed articles published between 2000 and 2025. Guided by...
Purpose Diverse and fragmented insights mark the growing field of brand hate research, and thus, the goal of this study is to demystify the dynamics of brand hate and pave a clear trajectory for subsequent investigations in this field. Design/methodology/approach This study uses a c (MASEM) approach, synthesizing empirical data from 29 studies that represent...
Window displays are crucial in capturing consumer attention. However, the connection between how these displays guide attention and influence price perception remains underexplored. This study investigates how turning bias and product placement along the vertical axis (hereafter, vertical product placement) jointly guide attention and shape price perception, including under the influence of objective temporality, through...
Purpose This study aims to develop a machine learning model to distinguish market leaders from copycat packaging by analyzing eye-tracking data, focusing on visual scanning patterns. It explores how these patterns influence consumer decision-making, integrating signaling theory to understand the impact of visual similarities on brand perception. Design/methodology/approach Eye-tracking data from 273 participants analyzing 2,043 packaging...
Purpose Grounded in the theory of planned behavior (TPB), this study aims to investigate the determinants of halal food purchase intention (HFPI) among Generation Z (Gen Z), with a particular focus on religiosity (RL), halal literacy (HL) and self-efficacy (SE) as additional variables. It aims to offer a deeper understanding of Gen Z's HFPI by...
Driving curriculum design, programme governance, and academic benchmarking aligned with global standards and long-term institutional relevance.
Strengthening research direction, journal-quality alignment, and publication planning across Scopus and ABDC-ranked outlets.
Building sustainable research capability through mentoring, structured guidance, and performance-aligned academic systems.
Academic programmes strengthened through curriculum redesign, outcome-based frameworks, and alignment with international accreditation and ranking standards.
Improved research output through structured publication planning, journal-quality alignment, and faculty research mentoring across Scopus and ABDC-ranked outlets.
Strengthening academic leadership capability through evidence-based decision-making, governance frameworks, and research capacity development.
Bridging academic theory with industry practice through applied research, executive education, and practitioner-focused knowledge dissemination.
Institutional initiatives aligned with strategic objectives, quality benchmarks, and long-term academic sustainability.
Recognition earned through sustained academic contribution, global research impact, and leadership across finance, AI, and emerging technologies.
International recognition for innovation-driven higher education leadership.
High-impact publications across Scopus Q1–Q3 ranked journals.
Scholarly citations across international journals and research platforms.
Recognised for pedagogical innovation and academic leadership.
Shaping the Future of Finance Education
