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This study aims to focus on living labs as a means of achieving radical innovation by discussing the differences in their network structure and its effect on the type of innovation outcome.

This research analyses 24 living labs in four countries using qualitative methods.

A specific network structure referred to as a distributed multiplex supports radical innovation in living labs, while distributed and centralized network structures support incremental innovations. Also, the results suggest that radical innovation depends on the driving actor and objectives in a living lab.

A bias on the perceived novelty of innovation may exist when analyzing data collected through interviews with a limited number of living lab participants compared to a large number of informants. This study proposes a two-dimensional framework based on the network structure to investigate innovation in living labs.

This paper offers a classification tool to identify, categorize and make sense of organizations’ participation in open innovation networks and in living labs.

The study provides evidence that, although the distributed multiplex network structure supports the emergence of radical innovations, the distributed and centralized network structures support incremental innovation. A combination of a provider- or utilizer-driven living lab and a distributed multiplex network structure, with a clearly defined and future-oriented strategic objective, offers good potential for radical innovation to occur.

The purpose of this paper was to investigate the role of an intra-organizational change facilitating function (CFF) in relation to a multi-level development initiative in a health care organization. Involved actors’ views on factors in need of attention and how the CFF related to these factors were studied.

A longitudinal case study design was used, combining data from questionnaires, process diaries and interviews with employees at the CFF, managers and clinic staff.

Factors on micro, meso and macro levels, crucial to attend to, were highlighted by respondents at staff and managerial levels. The CFF related to some of these factors by acting upon them, or by developing plans to handle them, while other factors were unattended to. The CFF activities also had indirect influence on other factors. The CFF role and responsibilities were not clearly defined beforehand, and a need to clarify a division of roles and responsibilities is highlighted.

Our study contributes to current knowledge on facilitation of change by relating it to an organizational dimension of implementation.

The description of important factors to handle during a large organizational change process and issues a CFF can encounter may aid others involved in designing and managing large organizational development initiatives.

The study elaborates on less studied functions and roles of an intra-organizational CFF in relation to factors of vital importance for organizational change and development in health-care organizations.

Competing activities and projects can interfere with implementing new knowledge and approaches. The purpose, therefore, was to investigate processes and impact related to implementing two concurrent quality initiatives in a Swedish hospital. These were a regionally initiated, system-wide organizational learning programme called the Dynamic and Viable Organization (DVO) and a national initiative on stopping healthcare-associated and hospital-acquired infections (SHAI). Both undertakings aspired to increase staff competence in systematic improvement approaches.

Multiple methods were applied including surveys, observations, interviews, process diaries, documents and organizational measurements. Respondents were unit managers, change facilitators and improvement team members.

Even though both initiatives shared the same improvement approach, there was no strong indication that they were strategically combined to benefit each other. The initiatives existed side by side with some coordination and some conflict. Despite absent management strategies to utilize the national SHAI initiative, positive developments in QI culture and communication were reported. The current study illustrates the inherent difficulties coordinating change initiatives, even in favourable circumstances.

This article addresses the lesser studied but common situation of coinciding and competing projects in organizations.

This study aims to examine the dynamic effect of FinTech on financial stability, with the moderating role of green finance (GF), its dimensions and mechanisms in the context of the spillover effects of the COVID-19 shock. This study used balanced panel data from 148 countries, including 76 developed and 72 emerging nations, from 2005 to 2022.

The research utilized the dynamic two-step system (GMM), and robustness was performed with the bootstrapped panel quantile regression.

The findings reveal that FinTech significantly affects financial stability across the entire sample. The overall composite of GF boosts financial stability by improving financial soundness. The GF dimensions, such as environmental, resource and financial, positively influence FS, while the GF economic dimension hurts FS. The moderating role and all interaction terms of GF dimensions with FinTech contribute positively and significantly to FS. While the interaction term GF resources with FinTech negatively impacts FS, indicating that countries should utilize resources more efficiently. Additionally, the COVID-19 spillover effect negatively influences FS across all samples. In advanced countries, FinTech and green finance positively affect FS. In emerging countries, green finance (except for the resource dimension) and FinTech interactions enhance financial stability, (except for the environmental dimension), leading to environmental hazards from their highly intensive industrial carbon policies.

The findings suggest that policymakers should prioritize promoting the adoption of initiatives related to FinTech and green finance by integrating sustainable transition finance policy frameworks to maintain stability and foster low-carbon economies for a sustainable future.

Improved financial stability has more significant social effects, such as better investment instruments, confidence and economic growth. Policymakers can leverage these findings to establish resilient financial ecosystems, fostering sustainable economic development and decreasing the risk of financial crises.

This study offers novel insights into how FinTech and multi-dimensional green finance effect financial stability in advanced and emerging nations. It provides unique insights into context-specific dynamics and enhances the literature on financial stability.

This paper aims to investigate the impact of social features of an inter-organizational network on organizational learning and, in turn, on its performance. Specifically, this paper focuses on the following social features: proximity among members, trust among members, trust in network management, commitment among members, members’ engagement and exchange of information.

This paper is based on evidence from a survey involving 101 organizations that integrate the Cooperation Networks established in Rio Grande do Sul, Brazil. The authors analyze data by using exploratory factor analysis, confirmatory factor analysis and structural equation modeling. Furthermore, they advance to also measuring “subjective” variables to business excellence.

The authors find that trust in network management and information exchange is positively associated with organizational learning. In turn, organizational learning appears to impact network members’ performance positively. Arguably, no results about the impact of proximity among members, trust among members and commitment among members are interesting to activate a discussion on the role of region cultural dimensions in shaping the impact of social features underlying the inter-organizational networks on organizational learning.

This study can be enriched by considering moderating variables in the relationships between the social conditions underlying inter-organizational network and learning.

The authors critically discuss the social features underlying the inter-organizational networks that impact learning among network members and how these aspects may be addressed to improve performance.

Given the focus of this empirical analysis, the authors advance the idea that regional culture is the layer of culture that most powerfully inspires the social features of networks, and shapes organizational learning.

The focus is on determining the long-term relationship in explaining how technological capabilities interact with trade and global value chain (GVC) participation to aid in the upgradation process using a panel auto-regressive distributed lag (ARDL) model. The results suggest that export of both low-skill and medium-skill technology-intensive manufactures and patents by residents positively and significantly impact GVC participation.

This paper examines the dynamic linkages between GVC participation and technological capability of major Asian countries in a comparative (1995–2018) perspective.

This implies that certain sectors enable greater integration into GVCs in the long-run, supported by critical learning variables. Further, with the help of the panel causality test, a bi-directional flow between GVC participation and export of high-technology manufactures and import of labour-intensive technology manufactures is witnessed. Even a one-way flow from research and development (R&D) intensity to GVC participation is seen.

The technological capabilities are found to be characterising the initial structure of local enterprises in trade and GVCs, as well as the extent to which emerging-market firms may harness knowledge flows and migrate into high-tech industries.

This paper aims to investigate how the relationships among the different actors within the business networks affect the evolution of innovation along the different steps of technology life cycle.

The study is supported by a longitudinal case study referred to a mechanical company operating in the knitting machineries industry. A triangulation method integrating multiple data sources in a multiple method design was used to gather data.

The longitudinal study supports the idea that interactions among the actors within the business networks heavily influence the technology evolution.

Although the longitudinal case study reported in this paper refers to a period of time of about 10 years, our findings refer only to a single case study in a specific sector and so they cannot be generalized.

This paper provides important guidelines on how to manage the relationships emerging within a business network to influence the new technologies development.

The paper contributes to business networks literature, filling the gaps about how the relationships among the actors involved in a network can evolve over time and influence the evolution of technology in itself.

This paper aims to explore the latent structure of the literature on interorganizational network and innovation as well as to map the main themes and empirical advances in this research stream.

Using bibliometric coupling, the authors analyze the citation patterns in 67 management studies regarding innovation networks, published in ISI-journals from January 1996 to October 2012.

The authors identify the conceptual orientations that studies share. Bibliometric analysis allows us to draw an overview of how this field of research has developed, recognizing in essence six main clustered research themes: networks as a framework that sustains firm innovativeness in specific contexts; network dimensions and knowledge processes; networks as a means to access and share resources/knowledge; the interplay between firm and network characteristics and its effects on innovative processes; empirical research on networks in highly dynamic industries; and the influence of industry knowledge domain’s peculiarities on network dimensions and characteristics.

By providing a comprehensive survey of current trends in the literature on interorganizational network and innovation, the authors eventually identify the major gaps in our knowledge and help refocusing the current research agenda in this increasingly relevant research stream.

The systematic introduction to the field of innovation networks is of notable interest to scholars and practitioners, who have (or desire to have) some awareness in the topic. Here, practitioners may find their compass to acquire some knowledge on innovation networks and orient their choices.

First, the spatially organized picture of the intellectual structure of the literature the authors offer is the initial thought-out comprehensive introduction to the field of on interorganizational network and innovation. Second, by developing a thorough bibliometric analysis of the extant bulk of the innovation networks literature, the authors develop specific methodological contribution. Third, we are able to map the intellectual structure in a two-dimensional space to visualize spatial distances between intellectual themes.