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The purpose of this paper is to assess the impact of open innovation practices on the innovation capability and export performance of UK small and medium‐sized enterprises (SMEs).

The empirical (quantitative) investigation is based on a sample of 64 SMEs in the UK – 33 “open” innovation firms and 31 “closed” innovation firms.

The overall results demonstrate that the international competitiveness of SMEs is highly dependent on the cumulative effects and interrelationship between two key internal components, i.e. R&D capacity and managerial structure and competencies, coupled with two external factors, i.e. open innovation practices and the ability of the firm to attract government grants for R&D and technological development.

Owing to the size of the sample, it has not been possible to undertake research within the context of specific regional disparities and/or sectoral characteristics.

In order to achieve and sustain competitive advantage in today's global market, SMEs need to collaborate with universities and other firms to advance and commercialise their technologies through “open innovation”.

Results show that open innovation activities and their impact on the international competitiveness of SMEs are complex and multi‐faceted. Essentially, they are highly related to and dependent upon the cumulative effects of, and interrelationship between, several key internal and external factors. Such factors cannot be fully explored through qualitative approaches as they require more complex and rigorous statistical analyses.

Chinese firms were operating within a closed economic environment before the “opening up” in the late 1970s, but it has only been in the late 1990s that China has recognized the importance of innovation. The Chinese government has attempted to rectify this liability by providing funding to assist Chinese firms in developing innovation capability by increasing R&D collaborations and employing external experts. The purpose of this paper is to study the innovation of Chinese firms by examining how internal and external resources interactively impact the innovation capability.

Panel data collected from Chinese manufacturers are used to test the hypothesized relationships.

The results have shown that the interplay between internal and external resources exhibits differential patterns of impact on innovation capability. The authors discover different moderating patterns of the two types of external resources: visiting experts are helpful in enhancing the effects of internal human resources, while R&D collaborations are useful in exploiting internal financial and physical resources, even when the main effect of financial resources on innovation capability is not significant.

The study contributes to the literature by providing empirical evidences on the roles of absorbed external resources and knowledge to catalyze internal resources in building up innovation capability in an emerging economy.

Briefly reviews previous literature by the author before presenting an original 12 step system integration protocol designed to ensure the success of companies or countries in their efforts to develop and market new products. Looks at the issues from different strategic levels such as corporate, international, military and economic. Presents 31 case studies, including the success of Japan in microchips to the failure of Xerox to sell its invention of the Alto personal computer 3 years before Apple: from the success in DNA and Superconductor research to the success of Sunbeam in inventing and marketing food processors: and from the daring invention and production of atomic energy for survival to the successes of sewing machine inventor Howe in co‐operating on patents to compete in markets. Includes 306 questions and answers in order to qualify concepts introduced.

The purpose of this paper is to investigate how and how much open innovation is used across Europe. The goal of this study is therefore to provide comprehensive empirical evidence for the adoption of inbound and outbound open innovation activities in Europe.

Data from 180 European companies were used to test three hypotheses on open innovation adoption and the role of internal R&D. Data were collected in 2009 and the sample comprises companies from different industries and 24 European countries.

It is found that 30.3 per cent of European companies are very open to innovation and 38.7 per cent are semi‐open. The results show that inbound open innovation is more commonly used than outbound open innovation, which can be explained by insufficiencies of the market or the organization. Finally, it is found that the type of innovation strategy (vertically integrated, inbound, outbound, or mixed) is related to the R&D intensity.

This paper provides large‐scale empirical evidence for the extent of open innovation adoption in Europe. Moreover, it confirms the role of open innovation generally as a complement for internal R&D. However, results show that firms can reduce R&D intensity through inbound open innovation.

The purpose of this paper is to analyze to what extent spending on innovation activities and collaboration at the industry level affects the relationship between firm innovation and performance.

A conceptual model was proposed and empirically tested using multiple linear regression. The data were obtained from the Community Innovation Survey 2012, composing a sample of 890 Italian manufacturing firms.

The results provided full support for the positive moderating effect of intra-industry innovation spending and partial support for the positive moderating effect of intra-industry collaboration, both regarding the relationship between firm innovation spending and performance. Knowledge spillovers derived from intra-industry innovation spending and intra-industry collaboration affect firm performance. While this finding corroborates other studies that have found that the intra-industry R&D spending influences firms’ innovation and performance, it also contributes to improve the understanding about the complementarity of internal innovation activities and knowledge spillovers.

This study contributes to theory by filling a gap concerning the complementarity of internal innovation activities and the effect of knowledge spillovers to improve firm performance. Our findings suggested that intra-industry openness to collaboration and innovation spending, as proxies of knowledge spillovers, plays an important role in complementing firm level innovative efforts, even in the case of firms that spend less on innovation and have a lower degree of collaboration. This is especially relevant for small and medium enterprises, which can take advantage of access to the necessary information to overcome their internal resource constraints for R&D and innovation. The originality of these findings adds value in terms of furthering the understanding of this phenomenon.

This paper examines the extent to which different sources of ideas for innovation are associated with novelty of innovation outcomes. We measure the novelty of product innovation using three well-established categories, ranging from highly novel new-to-world products to new-to-firm products that are essentially imitative, with products that are new-to-country (but not the world) being an intermediary category. In turn we investigate how knowledge derived from different external and internal (within-firm) sources of ideas can help firms increase innovation with different degrees of novelty. Our empirical analyses are conducted on a large sample of manufacturing firms from the South American emerging market of Colombia and show that many of the same sources of knowledge – such as scientific sources, production departments and managers – are associated with higher innovation in all three categories of novelty. However, some sources – notably external clients and internal interdisciplinary groups – are more significantly associated with more novel innovation than imitation. The implications of these findings for the literatures on innovation and imitation, and innovation by emerging market firms are discussed.

The high‐tech industry is the economic lifeline for Taiwan. Its characteristics are short product life cycle, rapid changes in the market, and a high obsolescence rate for new products. Under globalization, the high‐tech industry has adopted Information Technology (IT) to shorten the manufacturing process, reduce costs and conduct product research and development (R&D) to increase the core competence of enterprises and achieve the goal of sustainable operations. Enterprises should actively strengthen their integration with internal and external resources and lead in R&D management to increase industrial operating performance. Effectively managing operations and R&D management evaluation in Taiwan’s High‐tech Industry has become a critical subject. This study adopted 4 major Balanced Scorecard (BSC) perspectives to establish the Total Performance Evaluation Indicators for the R&D management department in Taiwan’s High‐tech Industry. The Analytic Network Process (ANP) was applied to evaluate the overall performance of the R&D management department. The research framework is divided into 2 phases. The first phase is combined with the 4 major perspectives, Financial, Customer, Internal Business Process and Learning and Growth, as the related indicators for each measurement perspective. The Key Performance Indicators (KPI) were selected using Factor Analysis to identify the key factor from the complicated indicators. The relationship between the characteristics of each BSC’s evaluation perspective is dependence and feedback. This study applied ANP to conduct the calculation and adjustment of correlation between each KPI, and determine on their relative weights for the objective KPI. The “Financial Perspective” for R&D management department in Taiwan’s High‐tech Industry focused on the budget achievement rate of R&D management. The weight indicator value is (0.05863). The “Customer Perspective” focused on problem‐solving satisfaction. The weight value of this indicator is (0.17549). The “Internal Business Process Perspective” focused on the quantity and quality of R&D. The weight value of this indicator is (0.13506). The “Learning and Growth Perspective” focused on improving competence in the research ersonnel’s professional techniques. The weight value of this indicator is (0.02789). From the total weighting indicators, the order of the Performance Indicators for the R&D management department in Taiwan’s High‐tech Industry is: (1) Customer Perspective; (2) Internal Business Process Perspective; (3) Financial Perspective; and (4) Learning and Growth Perspective.

A firm will seek an optimal balance between internal R&D and technology outsourcing when formulating its innovation strategy. This paper aims to provide a review of the determinants of firm's innovation strategy, and performs an empirical study on a sample from Chinese high‐tech industry, with the purpose of identifying two aspects of the issue: the choice patterns of Chinese firms over innovation strategy, and the innovation effect elasticity of different strategies.

The development of a multiple regression model supported by data from industry level and a statistic analysis.

Outsourcing is the major innovation strategy adopted by most Chinese high‐tech firms, especially technology import, which implies the imperfection of Chinese innovation service system. The empirical analysis also indicates the insufficiency of internal R&D expenditure and the weakness of absorptive capacity in Chinese high‐tech firms. Although, Chinese high‐tech firms prefer the outsourcing strategy in their innovation, the contribution of outsourcing is much smaller than that of internal R&D. When expenditures are increased by the same rate, the innovation output form internal R&D is twice the output of outsourcing. For improving Chinese firms' innovation efficiency, the reform of innovation service system is needed on the macro‐level, while on the micro‐level, it calls for firms to readjust their innovation strategy portfolio.

This paper will make up for the deficiency in current researches on innovation, which often apply firm samples in developed countries, and lack evidences from firm samples in developing countries. In addition, it will provide the decision‐making basis for Chinese Government's current actions in constructing and improving China's innovation service system.

Organizational innovations are closely associated with organizational knowledge, and thus a firm builds its knowledge base to enhance its innovative performance. However, insights into this process are still limited, especially in the context of firms in developing countries. Building on the dynamic managerial capabilities literature and open innovation paradigm, this paper attempts to fill this gap by developing and empirically testing a model that investigates how firms in developing countries accumulate knowledge to innovate.

A model of a firm's knowledge accumulation and innovation is proposed in which it specifies relationships among absorptive capacity, knowledge breadth, research and development (R&D), knowledge depth, exploratory innovation and exploitative innovation, and then it is empirically tested by using the structural equation modeling (SEM) technique based on the surveyed data of Vietnamese firms.

The results indicate that absorptive capacity positively influences both knowledge breadth and knowledge depth, knowledge breadth positively influences R&D, R&D positively influences exploratory innovation and knowledge depth, and knowledge depth positively influences exploratory and exploitative innovation.

The study proposes an “acquire and develop” open innovation model for firms in developing countries in which firms acquire external technologies and then develop R&D (develop and design) capability to adapt acquired technologies to their local conditions to create new organizational-specific capabilities and exploratory innovation.

This study argues that external knowledge acquisition is beneficial to innovative performance of firms in developing countries via renewing their knowledge base. Furthermore, the study provides the unique evidence that novel external knowledge acquisition and internal R&D are fit to each other in the fit-as-mediation form in which novel external knowledge acquisition is mediated by R&D to positively influence exploratory innovation.

The purpose of this paper is to investigate how supplier concentration influences a buyer firm's R&D intensity. This study proposes a mediation and moderation model to test this relationship in the Chinese household appliance industry. Specifically, this study tests the mediation effect of operational slack on the relationship between supplier concentration and R&D intensity and the moderation effect of financial constraints on this relationship.

Drawing upon real options theory and resource dependence theory, the proposed relationships are tested with the Chinese household appliance market using financial data from listed companies over a ten-year span from 2012 to 2021. Fixed effects (within-group) panel regression models are used to test the hypotheses. In addition, the authors use the bias-corrected bootstrap method to test the mediation effect.

The authors find that supplier concentration negatively affects a buyer firm's R&D intensity and that internal operational slack mediates this relationship. Interestingly, financial constraints from the external financing organization weaken the negative relationship between the buyer firm's supplier concentration and R&D intensity.

Based on the argument of real options theory and resource dependence theory, this study provides novel insights into the issue of how concentration on several major suppliers may reduce buyer firms' R&D intensity. First, this study introduces operational slack as a form of internal uncertainty that mediates the supplier concentration–R&D intensity relationship. Second, this study suggests that the effect of supplier concentration on R&D intensity is contingent upon firms' financial constraints from external financial organizations, disclosing a synergetic interactive effect of supplier concentration and financial constraints on firms' R&D activities. Third, this study is conducted in the unique institutional context of China, providing meaningful insights into the relationship between supplier concentration and R&D intensity.