Local innovation ecosystem: structure and impact on adaptive capacity of firms

Boyer, James; Ozor, Jude; Rondé, Patrick

doi:10.1080/13662716.2021.1891407

Cited by 24 publications

(16 citation statements)

References 62 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Animal innovativeness is widely discussed in Cluster 12, with birds being the most frequently discussed topic. Cluster 14 discusses local innovation ecosystems and how; for example, their structure may affect organizational adaptation capabilities [145]. Urban innovation (Cluster 16), start-ups (Cluster 17), innovation support (Cluster 18), drug development (Cluster 19), and business incubators (Cluster 20) are among the most discussed topics.…”

Section: Plos Onementioning

confidence: 99%

Employee well-being and innovativeness: A multi-level conceptual framework based on citation network analysis and data mining techniques

2023

View full text Add to dashboard Cite

This study proposes a multilevel conceptual framework for a deeper understanding of the relationship between employee well-being and innovativeness. We overview 49 years of well-being research [1972–2021] and 54 years of research on innovativeness [1967–2021] to uncover 24 dominant themes in well-being and ten primary topics in innovativeness research. Citation network analysis and text semantic similarity were used to develop a conceptual framework featuring 21 components and three levels: individual, organizational, and market. These components consist of constructs, domains, and factors that can influence or be influenced by employee well-being and innovativeness either directly or indirectly. This is the first study to use citation network analysis and data mining techniques to investigate the relationship between employee well-being and innovativeness. This novel framework can aid organizations in identifying more holistic and efficient strategies for fostering innovativeness and enhancing the well-being of their workforce. It can also assist in developing new theories and serve as a roadmap for future research. We discuss the research limitations and theoretical and practical implications and propose three research themes that future studies may address.

show abstract

Section: Plos Onementioning

confidence: 99%

Employee well-being and innovativeness: A multi-level conceptual framework based on citation network analysis and data mining techniques

2023

View full text Add to dashboard Cite

show abstract

“…Interdependent actors combine specialised yet complementary resources or capabilities when seeking to co-create and deliver an overarching value proposition to end-users and appropriate the gains received in the process [60]. The adaptive ability of innovation actors is becoming increasingly important [61,62].…”

Section: Key Actors and Their Functionsmentioning

confidence: 99%

“…Actors in collaborations or interactions develop co-innovation networks in which indirect relations between actors become increasingly important [2,46,48,53,61,62,66].…”

mentioning

confidence: 99%

Transforming Innovation Systems into Innovation Ecosystems: The Role of Public Policy

Zheng

Cai

2022

Sustainability

View full text Add to dashboard Cite

This study investigated the role of public policy in transforming innovation systems into innovation ecosystems. Despite the numerous studies that examined the role of innovation policies in promoting innovation systems and the increasing attention paid to the transition from innovation systems to innovation ecosystems in the literature, research on the role of public policy in facilitating this transition is sparse. To develop an analytical framework that identifies factors to be considered in policies that facilitate the transition towards innovation ecosystems, we synthesised the literature that investigated (1) the role of policy in innovation systems, (2) new features of innovation ecosystems and (3) the relations between (transformative) policies and innovation ecosystems. To identify these factors, we also drew on the concept of policy layering and the neo-Triple Helix model of innovation ecosystems. Specifically, we identified the following factors: the willingness and capacity of innovation actors to develop cross-boundary interactions on a global scale; an institutionalised civil society based on bottom-up media; and the prevailing sustainability ethos in economic, social and environmental dimensions. These can be used to design and evaluate policies that promote sustainable innovation and development as core features of innovation ecosystems.

show abstract

“…Turbulent system and policy, fierce market competition, ever-changing technology structure, innovative business model and unexpected public emergency lead to the increasingly complex and volatile business environment faced by firms (Tasavori et al, 2021). In this context, adaptive innovation has become a salient strategic means for firms to cope with highly uncertain environment (Jackson and Haubelt, 2017;Boyer et al, 2021). For example, firms implement digital transformation to telecommute and optimize organizational processes to reduce the impact of coronavirus disease 2019 (COVID-19) on their operations.…”

Section: Introductionmentioning

confidence: 99%

Survival of the fittest: the multiple paths of entrepreneurial leadership driving adaptive innovation in uncertain environment

Lin

2022

EJIM

View full text Add to dashboard Cite

PurposeThis study aims to investigate the multiple influence paths or underlying mechanisms of entrepreneurial leadership (EL) on adaptive innovation from the perspectives of organizational learning and resource management, drawing on complex adaptive system theory.Design/methodology/approachWith a questionnaire survey of 317 senior and middle managers from different firms in China, structural equation modeling was used to test the hypothesized conceptual model, and bootstrapping method was employed to examine the multiple mediating effects.FindingsResults indicate that EL has a significant and positive effect on adaptive innovation. This relationship is partially mediated through exploitative learning, exploratory learning, resource bricolage and boundary-spanning integration, respectively. The impact of EL on adaptive innovation is also sequentially transmitted through exploitative learning and resource bricolage or exploratory learning and boundary-spanning integration.Originality/valueAdaptive innovation has become a firm competition strategy to cope with dynamic changes in current uncertain environment where EL can play its effectiveness to engage firms in such innovation activities. However, the question of why and how EL drives adaptive innovation has yet to be discussed. This study highlights the innovation effectiveness of EL and the triggering process of adaptive innovation, and contributes to several countermeasures for firms to implement leadership and innovation practices responding to uncertain environment.

show abstract

Local innovation ecosystem: structure and impact on adaptive capacity of firms

Cited by 24 publications

References 62 publications

Employee well-being and innovativeness: A multi-level conceptual framework based on citation network analysis and data mining techniques

Employee well-being and innovativeness: A multi-level conceptual framework based on citation network analysis and data mining techniques

Transforming Innovation Systems into Innovation Ecosystems: The Role of Public Policy

Survival of the fittest: the multiple paths of entrepreneurial leadership driving adaptive innovation in uncertain environment

Contact Info

Product

Resources

About