Over time, large firms accumulate many non-core technology (NCT) assets that are not utilized and not managed appropriately. Utilizing these assets is a daunting task for them. The extant literature, however, comprises limited studies on NCTs and their effective management. Scholars argue that firms can benefit substantially from their NCTs, yet practitioners lack the knowledge of how to reap this benefit. The objective of this study is to explore how firms can utilize their NCT assets through multiple ways. It proposes a process for managing NCTs based on the open innovation, technology transfer and knowledge management literature. It presents a framework and conceptualizes various potential paths and modes that large firms can adopt to maximize the benefits from NCTs. This study contributes to both theory and practice by exploring different alternatives and solutions for NCTs and opens promising avenues for empirical research for each path-mode.

This case study explores social innovation in Spanish rural areas, aiming to revive local culture, transmit heritage across generations, and tackle social isolation through technology-supported initiatives. The study involved an intergenerational classroom, located in the North of Spain, which involves a methodology of 11 sessions across four phases: digital literacy, technological experimentation, intergenerational evaluation, and personal feedback analysis. Participants engaged in technology experiments linked to documenting cultural heritage. Qualitative data from semi-structured interviews explored changes in social relationships and intergenerational learning impact, analyzed thematically based on project aims. Adults and youth valued interacting across generations, finding it rewarding. The project facilitated knowledge exchange, enriched social and cultural aspects, and reduced social isolation in dispersed communities, fostering new connections. Digital heritage efforts reclaimed local histories and traditions. Strengthening intergenerational bonds enhances rural community resilience. Such innovations bolster social networks, particularly for youth. Digital heritage preservation aids in conserving cultural legacy but requires robust infrastructure and comprehensive policies for sustainability. The study underscores the role of social innovation in revitalizing communities and advancing resilience efforts.

Centralized and top-down policymaking, resource allocation, and infrastructure concentration have long shaped Iran's industrial landscape. Rooted in its historical governance model and resource-based economic structure, this approach has inadvertently marginalized regions with untapped potential. A regional approach to industrial development is essential to address the disparities among Iranian provinces. While Research and Innovation Strategies for Smart Specialization (RIS3) has gained prominence for promoting specialization within regions and fostering inter-regional synergy, its adoption remains limited in large developing countries with diverse innovation portfolios. This article proposes a mathematical model for RIS3 that extends beyond high-tech industries to encompass medium – and low-tech sectors, acknowledging the full spectrum of innovation capabilities. The output of model's implementation for Iran’s provinces aligns relatively well with regional spatial planning documents, underscoring its reliability. The model's flexibility also allows adaptation to other contexts, making it a valuable tool for policymakers and practitioners seeking tailored strategies.

In this paper, I will consider the complex relationship between contingent events and our ability to foster intuitions about other people’s behavior as well as to judge in what way normative order should resolve the source and impacts of contingency. In that regard, a model will be developed that will show how specific configurations of inferential/holistic intuitions, systemic reactions and the severity of contingent events can determine whether the social system will return to its initial equilibrium or if there will be greater impacts that lead toward rapid social change. Moreover, one of the implications of the proposed approach will be that intuitions about what will transpire in contingent events are not to be displaced as something irrational but rather used as indicators that can inform us about the specificities of dynamics that are present within the given social system.

The invasion of Ukraine by the Russian Federation in February 2022 prompted a significant influx of Ukrainian refugees into neighboring European countries. Comparative analyses have revealed that Ukrainian refugees generally received more favorable public reception compared to other groups, such as Syrians. This difference has been attributed to the perceived proximity and spillover risk of the war, as well as shared cultural values with Western countries. However, while initial sympathy towards Ukrainians is evident, concerns about economic implications and long-term costs may erode support over time. This highlights the need for sustained inquiry beyond war related empathy and cultural values. In response, this study calls for an in-depth exploration of refugee attitudes, recognizing the multifaceted nature of public opinion. Such understanding is essential for informing policymaking aimed at effectively supporting displaced populations and for fostering a more comprehensive and nuanced understanding of current European responses to the Ukrainian refugee crisis. This paper critically reviews existing literature on public attitudes towards immigrants and refugees, identifying key themes and proposing avenues for future research.

This article presents new empirical insights into European metropolitan regions, addressing a gap in the existing literature by examining the sectoral specialization and its impact on the productivity growth of metropolitan regions. The lack of evidence for European metropolitan regions contrasts with the empirical evidence for U.S. metropolitan regions, highlighting a significant research gap. By employing panel-regression analysis and leveraging unique regional data encompassing European metropolitan regions from 2000 to 2020, the authors unveil a multitude of significant findings. Key findings are that higher income countries (EU-15) tend to experience greater benefits from sectoral specialization in metropolitan regions compared to Eastern European regions (EU-NMS), suggesting that generalizing conclusions for EU-27 may be misleading. The study reveals a productivity gap resulting from sectoral specialization between metropolitan and non-metropolitan regions: Results suggest a higher concentration of specialized sectors in metropolitan regions. Policy implications are highlighted within the discussion on the framework of smart specialization in the context of metropolitan regions.

This paper aims to shed light on the key role of digital repertoire in shaping participation forms, challenging internet as a flexible, dynamic, and pervasive platform that transcends reality in terms of sense and relationship construction processes. The research design traces the narration and performance patterns in the last decade of the No Tav movement case study. The work examines the concept of innovation as both an evolving repertoire and a set of users’ practices. The empirical analysis is conducted through digital content analysis using quantitative textual analysis techniques. The research questions aim to understand how activists produce and share knowledge, what mobilization patterns emerge and are enabled by digital media, and how organizational assumptions change due to the digital turn.

Robots have gained researchers’ attention as new technologies advance in the hospitality industry. In recent years, the worldwide demand for automation has caused the idea of serving robots to raise business sustainability through technological innovations. This study aimed to analyze the efficacy of service robots on employee job loss insecurity and turnover intention. A convoluted mediation and moderation mechanism among study constructs is uncovered using a quantitative process. Our results demonstrate that robot performance efficacy positively relates to robot perceived usefulness and speed of service and positively affects employees’ job loss insecurity. Robot perceived usefulness and speed of service mediate the relationship between robot performance efficacy and employees’ job loss insecurity. The study’s findings also revealed the effect of job loss insecurity on turnover intention. Psychological aspects positively mediate the relationship between job loss insecurity and turnover intention.