Journal of Innovation & Knowledge
Scope & Guideline
Empowering research to shape the future of innovation.
Introduction
Aims and Scopes
- Innovation Management:
The journal emphasizes research on managing innovation processes within organizations, exploring how different factors such as leadership, organizational culture, and resources influence innovation outcomes. - Knowledge Sharing and Management:
Research addressing the mechanisms of knowledge creation, sharing, and application is a core focus, highlighting how knowledge management practices can enhance organizational performance and innovation. - Sustainable Development and Green Innovation:
The scope includes the role of innovation in achieving sustainable development goals, particularly through green technologies and practices that promote environmental sustainability. - Digital Transformation:
The journal explores the impact of digital technologies on innovation processes, business models, and organizational structures, assessing how digital transformation can drive competitive advantage. - Entrepreneurship and Innovation Ecosystems:
It covers studies on entrepreneurship, particularly in emerging economies, and the dynamics of innovation ecosystems that foster collaboration and knowledge exchange among stakeholders. - Impact of Policy on Innovation:
Research analyzing the influence of governmental and institutional policies on innovation performance and entrepreneurship is a significant area, particularly in the context of developing regions.
Trending and Emerging
- Artificial Intelligence and Innovation:
Research exploring the role of artificial intelligence in enhancing innovation processes, decision-making, and operational efficiency is increasingly prominent, highlighting AI's transformative potential. - Circular Economy Practices:
There is a growing focus on circular economy models that emphasize sustainability and resource efficiency, reflecting a broader societal shift towards environmentally responsible business practices. - Digital Economy and Technological Integration:
The intersection of digital technologies and innovation strategies is a trending theme, particularly regarding how organizations leverage digital tools for innovation and competitive advantage. - Social Innovation and Impact:
Emerging research is increasingly addressing the social dimensions of innovation, including how innovations can drive social change and contribute to community well-being. - Resilience and Adaptability in Innovation:
Studies emphasizing the importance of resilience and adaptability in innovation practices, especially in the context of crises such as the COVID-19 pandemic, are becoming more prominent. - Diversity and Inclusion in Innovation:
The role of diversity, particularly gender diversity, in fostering innovative environments and enhancing performance is a growing area of interest, reflecting broader societal movements towards inclusivity.
Declining or Waning
- Traditional R&D Models:
There is a noticeable decline in the focus on conventional R&D models, as more emphasis shifts towards agile methodologies, open innovation, and collaborative approaches that integrate multiple stakeholders. - Sector-Specific Innovations:
Research targeting specific industries or sectors has decreased in favor of broader, cross-sectoral studies that address innovation in a more holistic manner, reflecting the interconnected nature of modern challenges. - Basic Technological Innovations:
The emphasis on purely technological innovations without consideration of social, environmental, or economic contexts appears to be waning, as the journal increasingly prioritizes comprehensive sustainability perspectives. - Static Knowledge Management Practices:
Static models of knowledge management that do not account for dynamic changes in organizational contexts are being replaced by research focusing on adaptive and responsive knowledge practices. - Single-Dimensional Impact Studies:
Studies focused on measuring the impact of a single variable on innovation outcomes are becoming less common, with a preference for multi-dimensional analyses that reflect the complexity of innovation ecosystems.
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