Comparative Analysis of R&amp;D-Based Innovation Capabilities in SMEs to Design Innovation Policy

Cho, Chanwoo; Park, Sunyoung; Son, Jong Ku; Lee, Sungjoo

doi:10.1093/scipol/scw073

Cited by 8 publications

(9 citation statements)

References 41 publications

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“…Additionally, it is witnessed that innovation behavior is affected by regional [42,58,[60][61][62][64][65][66] and sectoral [29,[39][40][41][42][43][44][45] differences. Concerning the industrial differences, it is inferred that firms belonging to a low-technology industry prefer other innovation activities rather than R&D. Concerning managerial or political implications based on the above findings, this study reemphasizes the importance of preparing and strengthening an overall support program for not only implementing R&D in collaboration with R&D institutes or organizations but also for increasing the number of R&D personnel employed for innovating products or processes [1,2,111,134,166]. Additionally, in terms of extrinsic factors of the business environment, the regional and sectoral innovation landscape should be focused on to establish and strengthen the innovation support program [1,2,[64][65][66].…”

Section: Implications and Conclusionmentioning

confidence: 71%

“…Given the fiercely competitive business environment in the globalized economy that has evolved over the years, innovation success plays a crucial role in promoting sustainable growth at the firm, industry, and national levels [1][2][3][4][5][6][7]. Therefore, numerous academic researchers, managers, and policymakers have conducted frequent examinations on the structure of successful innovation in terms of its inherent factors and behaviors in various aspects of political, strategical, or managerial landscapes [8][9][10][11][12][13][14].…”

Section: Introductionmentioning

confidence: 99%

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Identification of Overall Innovation Behavior by Using a Decision Tree: The Case of a Korean Manufacturer

Park

2019

Sustainability

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Based on the two recent consecutive Korean Innovation Surveys in 2014 and 2016, this research empirically identifies the influencing factors and overall behavior of innovation success and failure in the manufacturing industry by using decision-making tree analysis (DT). The influencing factors and behavior of a successful innovator are also investigated from the perspectives of financial contribution, innovation activity, and research and development (R&D) activity. By using DT, this study acquires comprehensive knowledge of the arguments on innovation factors and behaviors in different contexts over time while dealing with all the factors in a single statistical framework based on the Oslo manual. Results with around 80% predictive accuracy show that the role of R&D is crucial for innovation success. The larger the firm size and the older the firm, the higher the success achieved by the firm will be. Firms in a low-technology industry prefer other innovation activities rather than R&D. Concerning a successful innovator’s behavior, target market characteristics that drive a firm to seek market needs influence innovation behavior and the use of information for innovation. Firms prefer implementing low-cost R&D activities across sectors, but firms in low-technology sectors prefer non-R&D activities. Regional characteristics of well-established business environments help firms to focus on R&D activities and reduce costly non-R&D activities. Most firms having R&D institutes focus on conducting in-house R&D using their own information. Cooperative R&D is conducted for closing capability gaps, but absorptive capacity is required to complement cooperative R&D. These empirical findings reaffirm the arguments on innovation behavior and arrange them in the overall perspective; they also provide managerial and political implications. Establishing and strengthening private or public R&D support programs to increase the capability of both in-house and cooperative R&D through funding as well as leveling up the information environment on technology and the market is crucial to the national innovation system.

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Section: Implications and Conclusionmentioning

confidence: 71%

Section: Introductionmentioning

confidence: 99%

Identification of Overall Innovation Behavior by Using a Decision Tree: The Case of a Korean Manufacturer

Park

2019

Sustainability

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“…Among the 1627 keywords, 75 words met the minimum threshold of 5 occurrences. Among these 75 words there were a number of emerging and fading themes that appeared that were relevant to the selected research topic [173,174]. In the case of cluster 2; (Green in color) some trends reflected the process aspect of IM capabilities that contributed to their influence on R&D. It was observed from the huge range of articles selected from 1990 to 2018 that by applying multi-dimensional scaling (MDS) along with burst detection algorithm exploration, around 1627 keywords were screened out.…”

Section: Emerging and Disappearing Themes (Burst Detection)mentioning

confidence: 99%

Exploring the Role of Knowledge, Innovation and Technology Management (KNIT) Capabilities that Influence Research and Development

Asim¹,

Sorooshian²

2019

Journal of Open Innovation: Technology, Market, and Complexity

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A supporting management discipline is an under researched phenomenon. A majority of firms’ operating capabilities relating to knowledge, innovation and technology management as a supporting management discipline. This paper reviews the literature in the research and development (R&D) domain to formulate and propose a conceptual model which is influenced by capabilities relating to knowledge, innovation and technology management. We performed a systematic literature review in which a range of articles were searched related to R&D, from 1990 to 2018. Our review is presented in two parts. The first part presents a descriptive analysis using the Preferred Reporting Items for Systemic View and Mata Analysis (PRISMA)protocol and the second part develop proposition based on keywords analysis. The review revealed that there are nine capabilities that contribute to influence on R&D based on three dimensions known as knowledge, innovation and technology management which correspond to some of the key resources that used to drive these capabilities. Finally, this work proposes a conceptual model based on the outcome of Systematic Literature Review (SLR) interpretation. This research may support current trends on the literature. The list of references may be considered a potential source for future research in this area.

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“…As such, firms now have to contend with increased competition, volatility, uncertainty, complexity, and ambiguity in business environments (Hughes et al 2020). The bottom line in this global business environmental transformation is that existing survival strategies, such as quality control and cost efficiency, can no longer guarantee success and sustainable competitiveness (Cho et al 2017). Švarc, Lažnjak, and Dabić (2019) also add that rapid environmental changes have also increased the significance of intangible organisational assets such as capabilities and competencies.…”

Section: Introduction Problem Investigated and Objective Of The Studymentioning

confidence: 99%

The Mediating Role of Knowledge Sharing on Social Capital and Product Innovation among Tourism SMEs

Pooe

Munyanyi

2021

SABR

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Purpose: The aim of this study was to investigate the mediating role of knowledge sharing on social capital and product innovation among tourism SMEs in Zimbabwe. Design/methodology/approach: A quantitative approach was adopted in this study and data was collected using an online survey, from owners and managers of small and medium enterprises in the tourism industry. The respondents were drawn using a simple random sampling technique from a database created and maintained by the Zimbabwe Tourism Authority of Sanganai/Hlanganani World Tourism Expo participants. Covariance-based structural equation modelling was used to analyse the data and test the hypotheses proposed. Findings: The study found that both interorganisational trust and social reciprocity enhance product innovation in the tourism sector. It was also revealed that knowledge-sharing capability partially mediates the relationship between interorganisational trust and social reciprocity and product innovation. Research limitations/implications: By focusing on interorganisational trust and social reciprocity, this study was limited to the relational dimension of social capital, and this offers scope for future research. More research needs to be undertaken to explore the role of interorganisational trust and social reciprocity across other dimensions of social capital other than the relational attributes. It is also necessary to conduct longitudinal studies to capture variations in time and across sectors using more robust measures. Originality/value: The study expands on the existing line of scholarly work by providing a social dimension of the antecedents of product innovation. The findings suggest in the wake of resource limitation, firms in Zimbabwe may rely on interorganisational trust and social reciprocity to foster superior product innovation. In this knowledge-intensive business environment, this study also adds value by providing empirical evidence for the mediating role of knowledge-sharing capability in the relationship between interorganisational trust and social reciprocity, and product innovation.

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Comparative Analysis of R&D-Based Innovation Capabilities in SMEs to Design Innovation Policy

Cited by 8 publications

References 41 publications

Identification of Overall Innovation Behavior by Using a Decision Tree: The Case of a Korean Manufacturer

Identification of Overall Innovation Behavior by Using a Decision Tree: The Case of a Korean Manufacturer

Exploring the Role of Knowledge, Innovation and Technology Management (KNIT) Capabilities that Influence Research and Development

The Mediating Role of Knowledge Sharing on Social Capital and Product Innovation among Tourism SMEs

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