/library/oar/handle/123456789/296 2026-05-24T22:55:17Z 2026-05-24T22:55:17Z Camilleri, Mark Anthony Camilleri, Adriana Caterina /library/oar/handle/123456789/146598 2026-05-20T13:03:13Z 2026-05-16T00:00:00Z

Title: User acceptance of edutainment mobile applications : advancing an experiential design-engagement model (EDEM) Authors: Camilleri, Mark Anthony; Camilleri, Adriana Caterina Abstract: Mobile users are increasingly engaging with edutainment gaming apps in formal and informal contexts. They are drawn to them for their educational and entertainment aspects. In this light, this study validates the Theory of Planned Behavior’s key measures and integrates them with game narratives and game aesthetics constructs to better understand the extent to which psychological and gaming design factors are predicting the individuals’ intentions to play with these learning technologies. The data were gathered through a survey questionnaire from one hundred eighty-six (n = 186) respondents, who were higher education students in a Southern European university. The quantitative findings analyzed through partial least squares (PLS) revealed that the gamers appreciate the edutainment platforms’ audiovisual effects as well as their storylines and narratives. The results reported that mobile users enjoyed playing with entertaining learning apps. Respondents indicated that they were willing to continue their gameplay in the future. In conclusion, this contribution raises awareness on the important synergies between gaming design elements and behavioral dimensions driving the users’ engagement with edutainment apps. It puts forward a robust theoretical framework that is empirically-grounded.

2026-05-16T00:00:00Z Mifsud, Rebekah Sammut, Gordon /library/oar/handle/123456789/146295 2026-05-11T09:22:57Z 2023-01-01T00:00:00Z

Title: Worldviews and the role of social values that underlie them Authors: Mifsud, Rebekah; Sammut, Gordon Abstract: In today’s ideologically diverse world, it is pertinent to have a better understanding of how our beliefs of the social world shape our thinking and behaviour. The purpose of this paper is to investigate the key social values that underlie particular sets of beliefs, referred to here as worldviews. Worldviews encompass beliefs that shape one’s outlook on life and are, therefore, instrumental in providing meaning to one’s reality and one’s understanding as to how one fits in it. They can be classified into five unique types, namely, Localised, Orthodox, Pragmatist, Reward, and Survivor. In this paper we start by proposing a theoretical relationship between this five-factor typology and social values. Following this, we present findings that show that worldviews may be mapped onto the two higher order value dimensions of Openness to Change versus Conservation, and Self-transcendence versus Self-Enhancement. We conclude by outlining the implications that these findings have on understanding individual cognition and society in general.

2023-01-01T00:00:00Z Camilleri, Mark Anthony /library/oar/handle/123456789/146103 2026-05-04T10:32:55Z 2026-01-01T00:00:00Z

Title: Opening the black box : operational principles, tools and frameworks that advance explainable artificial intelligence (XAI) models Authors: Camilleri, Mark Anthony Abstract: As artificial intelligence (AI) models are increasingly becoming permeated across various domains, there are instances where they are generating hallucinations, misinformation and erroneous outputs. Various stakeholders, particularly the regulatory ones, are encouraging the developers of machine learning (ML) systems to clarify or justify their models' decisions, actions or predictions in a way that is understandable to their users. In this light, this article raises awareness on Explainable Artificial Intelligence (XAI) principles that are intended to increase transparency, accountability and fairness about the modus operandi of machine learning algorithms. A systematic review of the extant literature identifies key tools, frameworks and best practices that enhance the interpretability of AI models, including open-source techniques like SHapley Additive exPlanations (SHAP) and Local Interpretable Model-agnostic Explanations (LIME), among others. The synthesis of the findings also shed light on XAI challenges and limitations of black-box models. This contribution advances a conceptual framework for the responsible implementation of XAI and offers practical guidelines that promote the interpretability of AI systems, whilst addressing their opacity, as well as their biased outcomes. It puts forward theoretical and managerial implications as well as future research avenues.

2026-01-01T00:00:00Z Chohen, R. Konietzny, Jirka Caruana, Albert /library/oar/handle/123456789/146090 2026-04-30T14:00:53Z 2022-01-01T00:00:00Z

Title: Drivers of managements’ behaviour intention and expectation to adopt blockchain technology Authors: Chohen, R.; Konietzny, Jirka; Caruana, Albert Abstract: Blockchain technology offers significant potential for business applications through improved information sharing and decentralized validation. However, many managers remain reluctant to adopt digital trade via blockchain. This research proposes a model to understand the drivers of managers' behavioral intentions and expectations regarding blockchain adoption. By integrating interorganizational factors (competitive pressure and trading partner readiness) and intraorganizational factors (individual technological readiness, interdepartmental conflict/connectedness, and organizational structure), the study differentiates between rational "Type 2" thinking (intention) and more intuitive "Type 1" thinking (expectation). The model suggests that while profit-driven rationales dominate management decisions, technological readiness and organizational context significantly influence the likelihood of adoption.

2022-01-01T00:00:00Z