International Journal of Innovation Studies最新文献

Innovation capabilities (ICs) represent a crucial source of competitive advantage for firms. However, the literature on ICs is extensive, leading to a diverse understanding of their nature and measurement. A notable gap exists in delineating the dimensions constituting ICs. This article aims to address this gap by identifying and pinpointing the various dimensions of ICs through a systematic literature review (SLR). The initial step involves identifying the diverse dimensions used in ICs, providing a distinctive insight for assessing their metrics. Notably, this SLR stands out as the only comprehensive analysis of various ICs dimensions, organizing them coherently. Examining 103 articles from the Web of Science and Scopus databases spanning from 2001 to 2022, the results reveal an amalgam of scales and associated approaches for IC measurement. This study contributes to the literature by systematically identifying and analyzing the main dimensions employed by researchers to measure ICs. Additionally, it highlights the foundational theoretical approaches of the identified studies. In practical terms, the study consolidates and presents the identified dimensions and metrics in integrative tables, offering researchers and companies valuable insights into diverse innovation paths that impact performance.

Product innovation is crucial for the future of the publishing industry, and the objective of this study was to understand the role of multi-disciplinarity in publishing innovation teams, typical patterns of interaction between team members, and similarities and differences in multidisciplinary innovation teams across national boundaries (US, Canada, and Germany). This is an exploratory study from Portland State University, Stuttgart Media University and Toronto Metropolitan University based on twenty-one qualitative in-depth interviews with publishing employees involved in the innovation process. The study reveals that multidisciplinary innovation teams are common in all three countries. Using an input-process-output (IPO) model, researchers found three main things: 1) input from outside the company is helpful; 2) corporate culture, familiarity and psychological safety foster creativity during the innovation process; and 3) innovation output is often evaluated by low-cost prototypes presented to the target audience.

The concept of entrepreneurial ecosystems (EE) is gaining increasing attention from academics, professionals, and policymakers because of its potential as a policy tool for promoting economic growth. However, the theoretical foundation for analyzing EE needs further development to comprehensively capture its systemic, complex, and adaptive nature. Although recent studies have made progress in this area by incorporating complexity theory into this field of literature, the multilayer characteristics of an EE have been overlooked in those conceptualizations. We therefore build upon those papers by introducing an understanding of EE as a multilayer network from the perspective of complexity theory. Building upon this understanding, we provide a representative example to illustrate the practical application of our conceptual model via agent-based modeling while outlining a research agenda that suggests new directions for future studies in this field.

This article examines how design thinking and artificial intelligence (AI) work together and what it means for the design sector. The goal is to understand how AI technologies may advance the design process, encourage innovation, and produce more individualized and user-centric solutions. This study intends to shed light on the potential of AI as a catalyst for creativity and the ethical implications of AI-driven design by discovering overlapping ideas and methodologies between design thinking and AI. According to the research, AI can significantly influence the design process by eliminating tedious processes, improving user-centricity, and stimulating creativity. AI may support designers’ decision-making, prototyping, and ideation processes, resulting in more creative and effective design solutions. Addressing bias in AI algorithms and data privacy is imperative to ensure ethical AI integration. Virtual reality, bio-design, and inclusive design are untapped areas where AI can be used.

Today, the Metaverse consists of various platforms, including digital twins of the physical world as well as virtual and blended digital-material environments that offer immersive experiences for individual users. By going beyond solely physical or virtual realms, these platforms unlock new possibilities for exploration, experimentation, and interaction. This makes it possible to transcend the limitations of innovation processes confined to physical locations, so the Metaverse is thus poised to drive groundbreaking innovations. This article explores the Metaverse as an innovation platform, its opportunities and challenges, including the role of generative AI in it. It discusses how the Metaverse, as a collaboration, creativity, and technological platform, supports innovation potential. By embracing the possibilities and challenges offered by the Metaverse and leveraging the capabilities of generative AI within it, a future in which individuals can truly explore novel synergies between the physical and digital realms, thriving various kinds of innovations. It is crucial to achieve holistic sustainability impacts both within the Metaverse innovation platform and as its outputs.

We explore the existence of a relationship between firms' allocentric approach, measured by their collaboration activities for innovation, and the orientation of their innovation. In particular, we propose a distinction between numerator-driven and denominator-driven innovation and how that relates to collaboration. We discuss the theoretical underpinnings of this relationship and test its existence using survey data from the PITEC, a panel of Spanish firms. We find that cooperation is indeed associated with a greater emphasis on numerator-driven innovation relative to denominator-driven innovation.

This study explores the interaction between the business ecosystem and strategic management. This research is driven by the necessity of understanding how the principles of the business ecosystem influence organizational strategic management. A Systematic Literature Review was carried out, focusing on a detailed analysis of articles indexed in the Scopus academic database. The research procedure aimed to uncover emerging perspectives on strategic management and the development of business ecosystems. The findings reveal a substantial gap in research regarding business ecosystems and sustainable strategic management. The paper suggests a new research agenda and proposes novel pathways for future investigations in this field.