Concepedia

Concept

innovation evaluation

Parents

4.7K

Publications

379.9K

Citations

9.7K

Authors

2.8K

Institutions

Integrated Innovation Evaluation

1992 - 1998

During 1992-1998, scholarship shifted from linear technology-push models toward integrated, cross-functional innovation systems where corporate strategy, organizational coordination, and external linkages jointly shape success. Research emphasizes coordinating internal teams, suppliers, customers, and partner networks to accelerate idea-to-market and to enable evaluative rigor. Evaluation frameworks broadened into multidimensional metrics—balancing norms, time-to-market, degrees of radicalness, and the adoption of systematic methods such as quality function deployment—highlighting that no single measure adequately captures performance. Regional and policy contexts emerged as influential forces, with geographic infrastructure and local strategies shaping diffusion, capability development, and firm outcomes. Industry-specific determinants persisted alongside cross-industry patterns, uncovering sector-tailored success factors in chemicals, high-technology services, and manufacturing, while also suggesting universal practices. Time compression, lifecycle management, and benchmarking gained prominence, reinforcing a strategic imperative to shorten development cycles and accelerate learning in new product development.

Integrated models and organizational coordination in innovation processes: research shows a shift from linear tech-push to integrated, cross-functional systems where corporate environment, strategy, and internal/external linkages jointly shape success [2], [3], [4], [8], [1].

Multidimensional evaluation of product development: studies converge on diverse performance metrics (norms, time perspective, radicalness, QFD adoption), highlighting that no single measure captures success [4], [6], [9], [17].

Regional and policy contexts shaping innovation diffusion and performance: geographic infrastructure, local policy instruments, and regional development strategies influence firms' innovation outcomes [10], [13], [20].

Industry-specific determinants and cross-industry patterns in new product development: empirical work identifies sector-tailored success factors in chemicals, Japanese firms, and services, with some universal practices [5], [18], [19], [14].

Speed, optimization, and lifecycle management in NPD: time compression, S-curves, acceleration methods, and benchmarking of R&D productivity highlight the strategic demand to shorten time-to-market [7], [16], [15].

Open Innovation Evaluation

1999 - 2010

Policy-Integrated Open Innovation Evaluation

2011 - 2017

Digital-Enabled Open Innovation

2018 - 2024