Automated Short Answer Grading (ASAG) is increasingly deployed in high-stakes educational contexts, yet the dominant evaluation paradigm focuses primarily on agreement with human raters, overlooking robustness as a complementary quality dimension. Robustness, defined as the consistency of grading behaviour under controlled, meaning-aware input transformations, bears directly on construct validity, the degree to which an assessment […]
Online reviews and influencer-centred social media conversations jointly shape product understanding in digital markets, yet they are still often studied as separate streams. This gap is especially relevant in the beauty sector, where product evaluation depends on subjective experience, perceived efficacy, tolerability, routine fit, and trust in peer-generated accounts. This study develops a cross-platform comparison […]
This study examines the evolution of customer segmentation from rule-based systems to multimodal AI architectures, emphasizing the necessity for transparent and context-aware CRM strategies. Despite the widespread adoption of RFM models, organizations often struggle to synthesize transactional metrics with multifaceted qualitative feedback, creating a numerical paradox that this research addresses by capturing the authentic voice […]
Retrieval-Augmented Generation (RAG) has become one of the most visible mechanisms for grounding large language model outputs in organizational knowledge sources. While the technical literature on RAG architectures is substantial, the evidence on how RAG is deployed inside organizations, and on the organizational consequences of those deployments, has not been systematically synthesized. This paper addresses […]
This paper investigates how rubric-based Explainable Artificial Intelligence (XAI) outputs influence instructor trust and grading behavior in AI-assisted academic assessment. As AI technologies become increasingly integrated into educational evaluation workflows, understanding the cognitive mechanisms through which instructors interact with AI-generated scores is critical for designing effective human–AI collaboration in grading and for the broader governance […]
In an increasingly digitized and hypercompetitive market landscape, pricing is evolving from a static, cost-based process into a dynamic, strategic function powered by Artificial Intelligence (AI). Organizations are moving beyond traditional pricing models by leveraging real-time analytics, predictive modelling, and behavioural insights to enhance pricing decisions. AI enables large-scale automation and personalization of prices, allowing […]
This study explores how Artificial Intelligence is reshaping managerial competencies in modern organizations. While much of the literature emphasizes technological capabilities, we adopt a human-centric perspective to map the evolving competencies, skills, knowledge, and responsibilities that managers must acquire to navigate the evolving technological landscape. The analysis is grounded in a Systematic Literature Review conducted […]
This paper promises to shed light on the heterogeneous nature of the skills required to ‘win’ with Big Data by analysing a large amount of job posts published online. More specifically we: 1) identify the most important ‘job families’ related to Big Data; 2) recognize homogeneous groups of skills (skillsets) that are most sought after […]