Status information from avionics systems is typically transmitted to airlines, but aircraft cabin systems remain largely disconnected and frequently reliant on manual, paper-based logbooks for defect recording. This results in error-prone processes that compromise data consistency and complicate maintenance planning. Digitalisation offers solutions to these challenges by enabling predictive maintenance, real-time monitoring and streamlined data sharing, improving operational reliability and efficiency. However, developing such systems is inherently complex due to operational constraints and stringent safety and security regulations. Model-based Systems Engineering (MBSE) effectively manages complexity, provide standardised system visualisation and enhance multidisciplinary communication. From a methodological perspective, approaches from literature suitable for addressing aviation maintenance systems were selected and enhanced with allocation techniques and subsequently applied to create system models for both current and digitalised aircraft cabins. This paper showcases MBSE’s relevance to develop digitalised aircraft cabin systems by using the Systems Modeling Language (SysML) enabling stakeholders to visualise system architectures and to make better-informed design decisions. The analysis of the presented SysML models highlights the error-prone structure of current non-digitalised aircraft cabin systems while illustrating new use cases unlocked by digitalisation. A model-based comparison underscores the improved efficiency, reliability and predictive capabilities achieved through digital transformation. This study demonstrates that MBSE provides qualitative advantages in system development by enhancing stakeholder collaboration, clarifying complex system architectures, and providing actionable insights into system behaviour and improvements.

This study delves into the intricate relationship between chief executive officers' (CEOs') experiences of poverty and the digital transformation of their firms. Employing comprehensive data collection on CEOs' birthplaces and leveraging advanced text analytics to quantify digitalization, our analysis encompasses a wide array of listed companies in China. The findings reveal that CEOs' impoverished experiences exert a detrimental influence on their firms' digital transformation efforts, primarily due to a lack of motivation and social resources necessary for such initiatives. However, this adverse effect can be ameliorated when CEOs gain access to substantial social resources in later life. Our conclusions are robust, supported by rigorous testing, and underscore not only the impact of CEOs' early-life poverty on corporate digitalization but also the potential for overcoming these challenges through the acquisition of external social resources and connections in adulthood. This study contributes significantly to existing literature and offers practical implications for enhancing corporate digital transformation strategies.

As the International Committee of the Red Cross (ICRC) and other international organizations (IOs) are undergoing significant digital transformation and operate in an increasingly digitalized environment, questions as to how they can continue to ensure their information security are becoming more acute. Legal tools to protect IOs from harm in the digital age are central in this regard, alongside technical and organizational measures. This article focuses on one specific legal tool that can be used to foster IOs’ information security, namely legal interpretations of the concept of inviolability. Specifically, the article explores how the Agreement on the ICRC’s privileges and immunities in Luxembourg interprets the scope of the concept of inviolability, and the obligations arising under it.

Research in digital transformation has focused on the challenges, determinants, or influencing resources, tools, and capabilities that enhance successful performance, innovation, competitive advantage, and internationalization. This paper discusses the process of digital transformation in the context of the footwear industry in Portugal, which is an interesting cluster of small and medium enterprises with a reported turnaround from traditional manufacturing targeting the domestic market to an innovative industry highly focused on export. The authors analyzed five important footwear companies ‘Made in Portugal’. The results show different stages of digital transformation, different levels of digital leadership, and different digital capabilities. The heterogeneous stage of digital maturity found has implications in the desired common positioning of the clustering-based brand ‘Portuguese Shoes’. The paper offers guidance for companies to align with the digital transformation requirements and respond to the global digital challenges, which can be transferred to other clustering industries and geographies.

This study examines the antecedent role of organizational culture and the mediating role of digital transformation when promoting big data analytics capabilities. Employing the Competing Values Framework, we scrutinize the influence of various cultural typologies, including digital culture on the successful deployment of digital transformation and the enhancement of big data analytics capabilities. Our analysis utilizes Partial Least Squares Structural Equation Modeling on a dataset of 183 firms to evaluate our hypotheses. The findings reveal that adhocratic, digital and hierarchical cultures significantly foster big data analytics capabilities mediated by digital transformation, which is a dynamic process that needs supportive digital and innovative values. In contrast, market and clan cultures exhibit weaker linkages. By providing empirical evidence and practical implications, this study highlights how organizations with a strong adhocratic and digital cultures outperform those with traditional cultures in their digital transformation and big data analytics capabilities efforts.

The rapid evolution of digital technology has made it necessary to examine the digital transformation and firms’ innovation initiatives. However, prior studies have often oversimplified the relationship between ‘digital transformation’ and ‘innovation’ as linear. By integrating perspectives from search and recombination, attention-based views, and competitive strategy theory, this paper constructs a theoretical framework, revealing that the relationship between digital transformation and innovation is nonlinear. We analyzed 21,509 observations from 2,565 Chinese listed companies spanning the period from 2009 to 2019 and found an inverted U-shaped relationship between digital transformation and innovation. We also discovered that differentiation strategies and cost leadership strategies have different moderating impacts on this inverted U-shape. This study provides valuable insights for businesses seeking to effectively navigate the complexities of digital transformation and innovation.

Since its establishment in 2014, Data for Policy (https://dataforpolicy.org) has emerged as a prominent global community promoting interdisciplinary research and cross-sector collaborations in the realm of data-driven innovation for governance and policymaking. This report presents an overview of the community’s evolution from 2014 to 2023 and introduces its six-area framework, which provides a comprehensive mapping of the data for policy research landscape. The framework is based on extensive consultations with key stakeholders involved in the international committees of the annual Data for Policy conference series and the open-access journal Data & Policy (https://www-cambridge-org.demo.remotlog.com/core/journals/data-and-policy), published by Cambridge University Press. By presenting this inclusive framework, along with the guiding principles and future outlook for the community, this report serves as a vital foundation for continued research and innovation in the field of data for policy.