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ABSTRACTFollowing the aftermath of the COVID‐19 pandemic, small and medium‐sized enterprises (SMEs) have faced growing challenges that underscore the critical need for enhanced organizational resilience. This study aims to bridge the gap in resilience research by offering a structured and practical decision‐support tool to enhance the resilience of SMEs. Adopting a multiple‐criteria decision analysis (MCDA) approach, combining value‐focused thinking (VFT), and interpretative structural modeling (ISM), the study identifies and prioritizes key initiatives and factors affecting SME resilience. Specifically, using a constructivist, process‐oriented methodology, we engaged an expert panel from diverse sectors, including technology, manufacturing, and services, to collaboratively develop a group cognitive map and an interpretive model that guide resilience‐building efforts. The findings highlight a hierarchy of resilience determinants, offering actionable insights for SME managers to structure and implement targeted resilience‐enhancing strategies. The originality of this study lies in its dynamic decision‐support approach, tailored specifically for SMEs, which is particularly relevant in today's volatile, post‐pandemic business environment. The results provide a significant contribution to the field by addressing critical gaps in SME resilience research and offering practical tools for organizational planning.

Information technology is an open door for governments to service citizens in a more timely, cost-efficient and effective manner. Even considering citizen resistance, cultural adversity or changes in the economic agents' relationship, few would contest that concern over the state of electronic government (e-government) has increased over the years. This concern has been responsible for the emergence of a wide range of new initiatives devoted to development of the information and knowledge society, which occupies a central place in government policies and planning strategies worldwide. In this paper, we aim to analyze the evolutionary patterns of e-government in Portugal and, based on an application of the Delphi technique, provide development prospects considering the perceptions of a panel of administrative agents. Despite the low use of e-government services, our study demonstrates that the administrative agent expresses overall satisfaction with its use. Additionally, the high level of modernization allows us to forecast the increased use of information and communication technologies in terms of e-government services.

Information technology is an open door for governments to service citizens in a more timely, cost-efficient and effective manner. Even considering citizen resistance, cultural adversity or changes in the economic agents' relationship, few would contest that concern over the state of electronic government (e-government) has increased over the years. This concern has been responsible for the emergence of a wide range of new initiatives devoted to development of the information and knowledge society, which occupies a central place in government policies and planning strategies worldwide. In this paper, we aim to analyze the evolutionary patterns of e-government in Portugal and, based on an application of the Delphi technique, provide development prospects considering the perceptions of a panel of administrative agents. Despite the low use of e-government services, our study demonstrates that the administrative agent expresses overall satisfaction with its use. Additionally, the high level of modernization allows us to forecast the increased use of information and communication technologies in terms of e-government services.

AbstractHospitals, as critical infrastructures, confront multifaceted challenges during crises, ranging from natural disasters to pandemics. Initially, these facilities must secure essential emergency support functions and, subsequently, expedite their recovery from any adverse impacts. Hospital resilience, influenced by numerous variables and assessed through various evaluation criteria, remains enigmatic in terms of relationships and hierarchy among these factors. By integrating group decision‐making and interpretive structural modeling, this study delves into determinants of practices bolstering hospital resilience from an internal management perspective. While the empirical results offer insights specific to the study context, the primary contribution is in the innovative methodology that shifts the emphasis from mere outputs to the intrinsic value of the process itself. Consequently, a hierarchical model of hospital resilience emerges, enriching insights into hospital resilience and highlighting the intricate balance between methodological rigor and tangible application, additionally serving as a blueprint for similar context‐specific investigations. The research culminated in a consolidation session with an external expert, who assessed the model's applicability as a tool for generating new knowledge about developing hospital resilience management. Advantages and limitations are also discussed.

AbstractFamily businesses are increasingly recognized for their significance in the global economy, constituting a growing portion of companies worldwide and elevating the importance of this topic on governmental agendas. Unique challenges confront family firms, intertwining business decisions with familial repercussions. Among these challenges, the succession process emerges as a critical threat to their continuity. Inadequate solutions to the question of succession often lead to organizational failure, underscoring the urgency of addressing this issue. This study endeavors to construct an analysis model to support decision-makers throughout the succession journey, integrating a constructivist approach that merges cognitive mapping and interpretive structural modeling (ISM). This dual methodology facilitates the swift identification and analysis of factors crucial for smoother family business succession. The model development leverages insights from an expert panel and entails delineating cause-and-effect relationships among identified determinants and prioritizing these factors based on their significance. Subsequently, the model undergoes validation through a consolidation session with experts from the Associação de Empresas Familiares (i.e., Family Business Association in Portuguese), who assess its practical applicability. This includes perspectives from a Brazilian expert renowned for his understanding of family business dynamics within an emerging economy—Brazil. The insights gleaned from these sessions inform recommendations on implementing the tested procedures within real-life family enterprises, thereby contributing to the sustainability and longevity of these businesses.