This research analyses how the joint integration of artificial intelligence and blockchain can contribute to the resilience and sustainability of multimodal transport chains. We adopt an interpretivist and constructivist stance in order to understand the modalities of appropriation, negotiation, and deployment of AI–blockchain mechanisms at the port–rail–road interfaces. The data come from 29 semi-structured interviews conducted with four categories of actors involved in multimodal corridors: digital-solution start-ups, transport–logistics SMEs, industrial shippers, and infrastructure managers. The thematic analysis, conducted through an abductive approach, highlights that the expected effects of AI and blockchain do not manifest directly on sustainability, but mainly pass through four mediating organizational mechanisms. First, shared logistics visibility appears as the decisive entry point. Inter-organizational coordination, supported by augmented governance mechanisms, conditions the translation of visibility into joint decisions. Third, distributed trust is built around shared evidence. Transactional automation unfolds gradually, with an ambivalence between efficiency gains and risks of rigidity in crisis situations. These mechanisms jointly fuel resilience as well as sustainability. The study proposes an integrated conceptual model and opens the way to a confirmatory phase by suggesting avenues for operationalizing the constructs.

The intensification of urbanization, the growth in mobility demand and the multiplication of disruptions expose intelligent transport systems to new operational vulnerabilities, making resilience a central issue for the management of transport networks. By conducting a systematic literature review, in accordance with the PRISMA 2020 and PRISMA-S recommendations, this article examines the extent to which, through which functions, under which conditions, and with what level of evidence digital twins can support the resilience of intelligent transport systems. The literature search covered the 2020–2025 period across Scopus, IEEE Xplore, and TRID and was complemented by backward and forward citation chaining, targeting research and review articles dealing with digital twins in transport, mobility, transport infrastructures, or ITS, as well as their links with resilience mechanisms. After screening and eligibility assessment, 61 studies were included in the final analytical corpus. The results show that digital twins are no longer limited to a simple virtual representation of the physical system but are increasingly established as service-oriented cyber–physical layers capable of supporting functions that may contribute to resilience, including real-time visibility, disruption anticipation, scenario simulation, dynamic optimization, decision support, service continuity, and post-disruption learning. The study also highlights several persistent limitations, notably conceptual instability, the sectoral concentration of studies, the lack of large-scale empirical validation, and the insufficient consideration of organizational, human, and governance dimensions. It concludes that digital twins should not be interpreted as automatically enhancing the resilience of ITS, but rather as having the potential to support resilience when they are associated with reliable data, interoperability, synchronization, model reliability, and the ability of stakeholders to transform digital intelligence into coordinated operational responses.

Between 2018 and 2025, artificial intelligence expanded alongside major market shifts, while generative artificial intelligence began to reshape organizational strategy and value creation across functions and sectors. This article offers an integrated account of organizational uses of generative models in marketing, operations, human resources, finance and governance and identifies four core capabilities of generative artificial intelligence, namely personalization, decision augmentation, automation and ecosystem orchestration. It links these capabilities to the adoption and, above all, to the intensity and quality of use. Following PRISMA 2020 and PRISMA-S, we conducted a systematic review of Scopus and Web of Science in English, with critical appraisal through the Mixed Methods Appraisal Tool and a SWiM narrative synthesis. From 1,284 records, 83 peer reviewed studies were retained. Findings converge on a coherent architecture of mediating mechanisms. Dynamic capabilities, absorptive capacity, process and organizational reconfiguration and multi-level innovation form an organizational infrastructure that translates generative artificial intelligence into organizational performance outcomes. Responsible governance of artificial intelligence and data, grounded in transparency, human oversight, risk management and environmental vigilance, acts as a moderating buffer that aligns use with strategic objectives, amplifies benefits and contains risks. We also find a transversal role of this governance layer across functions and sectors through standard setting, supervision and accountability arrangements. The study proposes an operationalized integrative framework with fourteen testable hypotheses and outlines avenues for future longitudinal and quasi-experimental research, together with managerial implications for turning local experimentation into durable strategic advantage.

Between 2018 and 2025, alternative finance expanded while micro-, small- and medium-sized enterprises in emerging economies continued to face a substantial funding gap. This study examines how entrepreneurial frugality articulates frugal ecosystems, access to alternative finance, resilience and SME performance within a single explanatory framework. Following PRISMA 2020 and PRISMA-S, we conduct a systematic review of Scopus, Web of Science and Cairn; out of 1483 records, 106 peer-reviewed studies are retained and assessed using the Mixed Methods Appraisal Tool and a narrative synthesis approach. The findings show that frugal ecosystems characterized by pooled assets, norms of repair and modularity, and lightweight digital tools reduce experimentation costs and develop frugal innovation as an organizational capability. This capability enhances access to alternative finance by generating readable quality signals, while non-bank channels provide a financial buffer that aligns liquidity with operating cycles and strengthens entrepreneurial resilience. The article proposes an operationalized conceptual model, measurement guidelines for future quantitative surveys, and public policy and managerial implications to support frugal and inclusive innovation trajectories in emerging contexts.

Faced with the proliferation of global crises and rising uncertainty, this study examines the conceptual shift in organizational resilience through a lexicometric analysis of a global corpus of 37,289 articles (1929-2025). The issue at stake is how the analysis of terminological usage reveals the shift from the paradigm of “rebound” to that of “transformation.” Three questions structure the research: the role of technology and sectors in the spread of this transition, the influence of linguistic specificities on conceptual paradigms, and the existence of emerging niches confirming the epistemological maturation of the field. The methodology is based on automated web scraping with Python, context extraction via the ISIDORE API, and a quantitative and qualitative analysis of terminological co-occurrences and sectoral definitions. The results show the dominance of the technology sector (48.2% of the contextualized corpus), the evolution of definitions of resilience according to three phases (territorial, systemic, transformative), and marked linguistic differences between the English-speaking and French-speaking corpora. The study highlights five priority niches for future research: predictive algorithmic resilience, accelerated regulatory adaptation, digital inter-organizational resilience, post-pandemic health governance, and resilience of climate meta-organizations. These results underscore the These results underscore the need for new theoretical frameworks to support the ongoing transformation of organizations in the face of contemporary challenges.