arXiv subjects

Dhushy Thillaivasan

Publications and source records attributed to Dhushy Thillaivasan.

3 recordsLinked to original sources

arXiv2026

From Digital Capabilities to Non Linear Growth: The Exponential SME Framework

Small and medium-sized enterprises (SMEs) face increasing pressure to navigate digital transformation, yet many struggle to convert digital initiatives into sustainable organisational capability development and growth outcomes. This paper develops the Exponential SME Framework, an integrated conceptual framework that explains how SMEs may progress from digital capability development to non-linear growth potential. Drawing on literature relating to Digital Dynamic Capabilities (DDC), digital transformation practices, organisational transformation, Exponential Organization (ExO) attributes, and SME growth, the framework synthesises previously fragmented streams of research into a coherent conceptual structure. The framework proposes that Digital Dynamic Capabilities provide the foundation for Digital Transformation Practices (DASAT), which contribute to transformations across key organisational domains, including business models, value chains, customer relationships, and organisational culture. These transformations may support the adoption of ExO-like attributes, specifically experimentation, dashboards, autonomy, and community engagement, that enhance organisational adaptability, learning, and responsiveness. Through the interaction of these organisational elements, SMEs may strengthen the conditions associated with non-linear growth potential. The paper contributes to the SME and digital transformation literature by integrating multiple streams of research into a unified framework, clarifying the relationships between capabilities, practices, organisational transformation, and growth-enabling mechanisms, and providing a foundation for future empirical research. The paper also offers managerial and policy implications for strengthening SME digital transformation and growth readiness.

cs.CY↗

arXiv2026

Religion and Artificial Intelligence as Distributed Meaning Systems: A Naturalistic Conceptual Model

This paper develops a naturalistic account of religion and artificial intelligence as structurally similar distributed meaning systems. I argue that both emerge from the same underlying cognitive architecture: socially extended processes that offload interpretation, norm-guidance, and world-model construction into external symbolic environments. Drawing on work in distributed cognition, cultural evolution, and philosophy of mind, the paper proposes a conceptual model showing how meaning is generated, stabilised, and transmitted through recursive interactions between agents and their informational ecologies. Religion is analysed not as a set of beliefs but as a cognitive-ecological system that scaffolds coordination, normativity, and shared interpretation. Contemporary AI systems are shown to instantiate analogous functions, operating as high-bandwidth, algorithmically mediated environments that shape reasoning, attention, and social meaning-making. The model explains how both systems create epistemic compression, reduce cognitive load, and generate shared frameworks that guide behaviour. It also clarifies the conditions under which AI systems can become culturally entrenched meaning authorities. The contribution is conceptual: a unified framework for understanding religion and AI as parallel forms of distributed cognitive machinery. This reframing opens new pathways for analysing artificial agents not as isolated tools but as components in evolving socio-cognitive ecologies.

cs.CY↗

arXiv2026

The Digital Pirahã Condition: Ecological Mismatch and the Reconstruction of Recursive Cognition

Contemporary digital and AI-mediated environments are reshaping the cognitive ecologies within which human reasoning develops. As everyday activity becomes embedded in datafied infrastructures, cognitive habits adapt to conditions of immediacy, fragmentation, externalisation, and algorithmic filtering. This paper introduces the Digital Pirahã Condition, a cultural ecological model explaining how these environments cultivate adaptive but shallow cognitive patterns, epistemic flattening, reduced recursive capacity, and heightened reliance on external scaffolds. While functional within digital systems, these adaptations create an ecological mismatch with the recursive, integrative reasoning required in academic and institutional activity systems. The paper argues that this mismatch is an ecological outcome rather than a psychological deficit, and that addressing it requires intentional cognitive niche construction within educational institutions. The lecturer is conceptualised as a cultural entrepreneur who reconstructs the cognitive ecology of learning through analog sanctuaries, AI-supported metacognitive scaffolds, and recursive curriculum architectures. The Digital Pirahã Condition thus provides a theoretical lens for understanding contemporary cognitive change and a framework for ecological redesign in AI-mediated societies.

cs.HC↗