Journal of Digitovation and information system

Artificial Intelligence in Banking Systems: A Bibliometric Mapping of Applications, Gaps, and Strategic Research Pathways (1996–2024)

Mohamed Essabir — 2025-12-17

This study conducts a descriptive bibliometric analysis of artificial intelligence (AI) applications in banking systems, synthesizing 622 peer-reviewed journal articles published between 1996 and 2024. Drawing from the Web of Science Core Collection, the dataset was screened to include only ABS-listed or Scopus-indexed journals. The analysis applies keyword co-occurrence, citation profiling, Latent Dirichlet Allocation (LDA), and SCOR-style process classification to identify thematic clusters and research gaps. Findings show that scholarly output has increased significantly since 2019, with machine learning and predictive models dominating the methodological landscape. Most studies focus on credit scoring and fraud detection, while compliance, investment advisory, and prescriptive analytics remain marginally addressed. Five thematic research clusters were identified: model evaluation, fintech integration, credit classification, organizational transformation, and decision support. Journals such as the International Journal of Bank Marketing and Annals of Operations Research were among the most prolific sources. Despite progress, the literature remains imbalanced favouring technical outputs over behavioural, ethical, or institutional dimensions. This paper offers a structured research agenda emphasizing decision-oriented AI models, compliance analytics, human-AI collaboration, and strategic integration. The results inform scholars and banking professionals seeking to align AI innovations with financial governance, digital transformation, and sustainable operational design.

Tele-Pediatrics and Caregiver Psychology: Understanding Trust Development in Virtual Child Healthcare

Abdul-Rahim Bajaber — 2025-12-17

Tele-pediatrics has transformed caregiver–clinician communication, introducing new patterns of trust formation in remote child healthcare. This paper conceptualizes trust as a co-created process shaped by emotional responsiveness, communication reliability, and participatory interaction in virtual pediatric settings. Drawing on evidence from pediatric psychology, behavioral communication, and telehealth studies, a multidimensional framework is proposed with three interrelated components: interactional consistency, perceptual authenticity, and collaborative assurance. These constructs explain how caregivers interpret empathy, competence, and partnership during digital consultations. The framework highlights that trust in remote pediatric care extends beyond technical expertise, emerging through consistent communication and visible emotional understanding. It also identifies challenges such as depersonalization and reduced empathy in high-volume digital environments. The model offers theoretical insight into how trust evolves in technologically mediated healthcare and practical guidance for training clinicians to communicate emotional presence effectively through digital interfaces. Future work should include empirical validation through qualitative observation and caregiver narratives to assess the model’s relevance across diverse cultural and healthcare contexts.

Employee Mood, Cognitive Thinking, and Workplace Achievement: Investigating Mobility Service System

Daniyal Ahmad — 2025-12-17

The rapid growth of digital technologies has significantly influenced organizational practices, particularly in how services are delivered and employees interact with technological systems. Drawing on the Theory of Planned Behavior and Signaling Theory, this study examines the impact of employee mood, cognitive thinking, and workplace achievement on job outcomes and the intention to adopt a mobility service system (MSS) within Australian mobility organizations. A cross-sectional survey was conducted with a sample of 480 employees across multiple mobility service firms in the Australia. Findings reveal that cognitive thinking, positive mood, and workplace achievement operationalized through enriched job levels, pay incentives, and social support exert a significant positive influence on job outcomes, including performance, creativity, and Organizational Citizenship Behavior (OCB). Moreover, job outcomes were found to substantially impact employees’ intention to use MSS. This research contributes to the intersection of behavioral science and digital innovation by demonstrating how internal psychological and contextual factors shape technology-related behaviors in the workplace. The study offers valuable implications for policy design, organizational development, and future research focused on employee readiness and digital transformation strategies.

Artificial Companionship and Emotional Continuity in Geriatric Mental Health: A Conceptual Examination of Substitution and Wellbeing

Arslan Ali — 2025-12-17

This conceptual work examines how artificial companionship contributes to emotional steadiness in older adults through a structured framework that explains the processes involved in emotional substitution and relational interpretation. The analysis integrates perspectives from geriatric psychology, human machine interaction, and social communication theory to clarify how older adults make sense of artificial engagement when human contact becomes limited or irregular. The framework identifies three central conditions that shape emotional continuity. The first concerns the sense of presence created through familiar and consistent interaction. The second involves the interpretation of responsiveness as a form of mutual attention. The third relates to the manner in which artificial and human relationships are balanced within the broader emotional environment. Together, these conditions illustrate how artificial companionship can support comfort when users retain awareness of its limitations. Ethical considerations guide the interpretation of artificial behaviour to ensure that human relationships remain central to psychological wellbeing. The work also highlights the need for empirical exploration that captures the lived experiences of older adults and the diverse ways they integrate artificial companionship into daily emotional routines. These insights can inform future design and clinical strategies that respect authenticity and relational clarity in geriatric care.

Evaluating the Influence of AI-Integrated Cloud Computing Services on Individual and Organizational Performance Metrics

Valentin Lefevre — 2025-12-18

Artificial Intelligence (AI)-integrated Cloud computing services are transforming how individuals and organizations operate by enhancing performance, collaboration, and access to digital resources. This research investigates the effects of these services on individual efficiency, skill development, and satisfaction, as well as on organizational processes, cost management, and data governance. Semi-structured interviews with professionals across diverse sectors provided insights into both practical benefits and challenges of implementation. Results indicate that AI-driven Cloud solutions improve task efficiency, facilitate interdepartmental and cross-organizational collaboration, and support the development of individual competencies. Organizations benefit from optimized workflows, reduced operational costs, and improved data security, while societal impacts include enhanced digital equity, resilience, and innovation potential through secure and efficient management of large-scale data. Despite these advantages, privacy concerns, environmental considerations, and organizational readiness remain significant factors that influence adoption outcomes. The findings contribute to the understanding of AI-integrated Cloud computing adoption, highlighting the interplay between technology, human factors, and organizational practices. The study offers practical guidance for organizations and individuals seeking to leverage AI-driven Cloud services effectively while addressing associated risks, and extends theoretical perspectives on the adoption and performance implications of emerging information technologies.