Search results

Driven by the development of the global digital economy, knowledge management in industrial enterprises offers more possibilities for green innovation. Based on the perspective of external knowledge sources, this study aims to construct a panel regression model to explore the relationship between digital economy and industrial green innovation efficiency.

Panel data from 30 regions in China from 2011 to 2020 were selected as research samples. All data are obtained from national and provincial statistical yearbooks. Coupling coordination degree analysis, entropy method, panel regression analysis, robustness test and threshold effect test by Stata 16.0 were used to test the hypotheses.

The empirical results demonstrate the hypotheses and reveal the following findings: the digital economy is positively related to industrial green innovation efficiency and external knowledge sources, and external knowledge sources mediate the relationship between them. Moreover, based on the threshold test results, the digital economy has a double-threshold effect on industrial green innovation efficiency.

Based on the perspective of external knowledge sources, the proposed mediating mechanism between the digital economy and industrial green innovation efficiency has not been established previously, further enriching the research on the antecedents and outcomes of external knowledge sources. Moreover, this study estimated the direct influence mechanism and double-threshold effect of the digital economy on industrial green innovation efficiency from theoretical and empirical analysis, thus responding to the call of scholars and adding to existing research on how the digital economy affects the green transformation of industrial enterprises.

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.

Drawing on open innovation and knowledge-based view, this study was initiated by investigating the fact that despite the growing literature on external knowledge being important for bridging the knowledge gap across the new product development (NPD) processes, gaps exist to explore as to what are the potential knowledge sources and their contribution for the Fuzzy-Front end (FFE-) (i.e. idea-generation) phase of the NPD process?

Thirty-seven open-ended interviews with the NPD managers in large firms from the Chemicals and Electronic industries have been conducted to collect the data following thematic analysis into NVIvo 12.

The findings reveal customers, suppliers and external research organizations are the potential knowledge sources. Each of the sources delivers distinct knowledge for FFE of the NPD process. The empirical analysis of this study demonstrates that each of the potential knowledge sources though bridges the knowledge gap that innovative firms seek for the FFE of the NPD process, however collaboration with such sources incurs significant costs, risks, resources, capabilities and management practices which differs noticeably among different kinds of knowledge sources.

Managers must need assessing not just the gains but also the pains associated with each of the knowledge source before deciding to make additional investments in terms of resources and capabilities dedicated to learning from them while considering any of these for the FFE.

This new conceptualization of FFE offers a better theoretical and practical rationale for how and what types of different sources of knowledge can bridge the knowledge gaps for the FFE of NPD processes provided that innovative firms have necessary resources to entail a successful collaboration.

The purpose of this paper is to study the external sources of knowledge that better exploit internal knowledge in order to innovate.

A balanced panel of 1,266 firms that respond to the Survey of Business Strategies for a five-year period was used, which represents a total of 6,330 observations.

The influence of the absorptive capacity on new products is significant, with an inverted U-shaped relationship. The interaction between external sources of knowledge and firm ' s absorptive capacity has a negative effect on innovation up to a certain level (substitution effect), after which that interaction improves the innovation of firms, displaying a complementary effect.

Firms with excess of internal sources of knowledge do not obtain better innovative results because overtime firms tend to inertia and need external sources of knowledge to obtain new knowledge. Firms must be conscious that the effect on innovation of using a strategy of external knowledge acquisition could be different depending on their internal knowledge base level. Thus, those firms that select their strategies to combine knowledge appropriately will have better results.

This paper reveals that the positive effect of internal sources of knowledge on innovation decline after it reaches a high level because those firms with strong absorptive capacity may enter a state of organizational inertia that reduces their innovation. This research enhances the importance of identifying each of the external knowledge sources likely to be used, since their influence on innovation differs depending on the level of internal knowledge. Finally, this study is based on panel data models, which allows us to control unobservable heterogeneity improving earlier studies that had to rely on cross-sectional data.

The purpose of this study is to identify the role played by external knowledge sources and intra-organizational collaboration as determinants of innovation in hotel firms. It proposes that local knowledge sources and intra-organizational collaboration determine the probability of producing incremental innovations, and that non-local knowledge sources determine the introduction of radical innovations.

Descriptive statistics made it possible to evaluate the importance of each of the external sources as the origin of ideas for innovation. Principal component analysis was used to find homogeneous groups based on the different knowledge sources contemplated. Multiple regression analysis was used to determine which variables predict a hotel’s capacity to introduce innovations.

The findings suggest a dissociation between innovations adopted by directly incorporating the specific knowledge provided by external agents and innovations that require the mediation of intra-organizational collaboration for their development.

Future qualitative studies can provide data that would considerably improve the understanding of how innovation processes are produced in hotel companies based on the use of external knowledge and how hotel firms develop spaces to exchange and combine internal knowledge.

Hotel firms can adopt innovations by incorporating specific knowledge from external companies or by developing their own innovations based on information gathered from external agents or events (e.g. customers, attending trade fairs and professional conferences). The transformation of this information into innovations requires the establishment of internal communication channels that foment employees’ collaboration and exchange of information.

The study provides empirical evidence for the relevant role played by both external agents and intra-organizational relationships as sources of knowledge to foster innovation in hotel firms. External agents are classified as local and non-local sources, and their effect on innovation is analyzed, distinguishing between incremental and radical innovations.

There is a dearth of empirical research on the impact of external knowledge search on innovation performance in different categories of service firms. This study explores the effectiveness of the breadth of external search on product and process innovations in German firms. In particular, the author modelled a non-linear relationship between the breadth of knowledge and product and process innovations.

Drawing on the Mannheim Innovation Panel (MIP) data for the German service firms in the period 2014–2016, the author reported findings from a bivariate probit model which took into account mutual interdependence between product and process innovations. Moreover, the model was separately estimated for knowledge-intensive business services (KIBS) and other services. For comparative purposes, the author also estimated the model for manufacturing firms.

Empirical findings uniformly indicated an inverted U-shaped effect of the breadth of knowledge on both product and process innovations. Furthermore, the results demonstrated that using up to three knowledge sources increases the probability of a joint implementation of product and process innovations. These findings hold for both KIBS firms and other services. However, those service firms that focussed on a single type of innovation experienced diminishing returns to external knowledge when exploiting more than one source of knowledge. These results indicated that a simultaneous introduction of different types of innovation required diverse knowledge sources. In contrast, when focussing on a single type of innovation, service firms experienced diminishing returns when multiple sources were used. However, this finding was only partially found for manufacturing firms. Accordingly, this study’s findings provided support for the demarcation approach, insofar as the breadth of knowledge had a heterogenous impact on innovation in manufacturing relative to service firms.

Previous studies on the breadth of knowledge search mostly examined its influence on innovation performance without separately analysing manufacturing and service firms. The present study focussed on service firms that were further divided into KIBS and other service firms. By investigating potentially non-linear relationships between knowledge breadth and product and process innovations, it illustrated how different innovation strategies were affected by a diverse pool of external knowledge sources.

The combination of different knowledge sources has been considered conducive for innovation performance. While the literature has advanced regarding the combination of knowledge inputs as in internal and external research and development (R&D), the evolvement of knowledge blend from customers and competitors has also received substantial attention. The purpose of this paper is to delineate the sources of information from the customers into private and public and examine their direct effect on firm-level innovation. While the extant literature is mixed regarding this, no clear-cut results have emerged yet on the effect of knowledge combination from the private and public customers with internal R&D and human capital on innovation activities. This study, however, shed more lights on the inconclusiveness of the effect of knowledge diversity on firm-level innovation.

Using the microdata from the German Community Innovation Survey 2013, the authors employ a binary instrumental variable treatment model with Heckman selection, a suitable strategy to estimate binary variables to cope with a possible endogeneity issue.

The paper demonstrates that knowledge from customers in the private and public sector, and competitors are positively and significantly associated with innovation. The authors find evidence of a positive and significant effect of the combination of firm internal knowledge competencies with information from the public sector. In contrary, the blend of knowledge competencies with information from customers in the private sector and information from the competitors results in decline to innovation. The results also show that the blend of internal R&D with knowledge source from the customers in the public sector appears to have a stronger influence in the manufacturing sector than services. The results offer strong evidence of the positive link between knowledge diversity and firm-level innovation performance.

The results have significant managerial implications on the role of the blend of different sources of information in supporting a compelling internal knowledge development to optimise innovation performance.

This study is foremost to focus on knowledge sources from the customers in the public and private sector and its relationship with R&D and human capital in supporting a successful introduction of innovation.

This paper aims to analyze the extent to which the influence of external knowledge search on innovation performance is contingent on both a firm’s innovation strategy and the industry context in which it operates.

The paper adopts a contingent approach that centers analysis on the influence of situational factors, either exogenous or endogenous to the organization, as determinants of the external knowledge search in promoting the firm’s innovation performance. The empirical study is based on a large sample of 18,955 firms operating in 29 industries that belong to 13 European countries.

This analysis reveals that a broad knowledge search is more effective for firms that innovate in new goods, while a deeper knowledge search is more effective for firms that innovate in new services. The results of this study also indicate that external knowledge search varies across industries, with search depth being used more in industries in which the knowledge development process is cumulative and appropriable, while the external breadth search is preferred in industries with a high level of technological opportunity.

The current approach implies recognizing that the knowledge search strategies may not always be effective, and that firms should align the search strategy to both internal and external factors. Analyzing the influence of these factors can help managers to better choose the type of knowledge search (e.g. intensive or extensive search) that best aligns with the firm’s innovation objectives.

The purpose of this paper is to analyze the role of external knowledge in the innovation process of firms in the food and beverage (F&B) industry and the effects of two external knowledge sourcing modes on new product development (NPD) performance.

The paper applies a quantitative approach, relying on data from 157 Italian firms operating in the F&B industry to test the hypotheses through OLS regression models.

Results suggest that the surveyed firms actively engage in open innovation with strong ties with market-based sources. Moreover, the authors found that market-based sources are associated with income from incremental innovation and time to market, while science-based sources are associated with income from radical innovation. Finally, the authors found that the R&D intensity enhances the benefits of the above external knowledge sourcing modes.

Despite the large amount of studies assessing the effects of external knowledge sourcing on performance in the open innovation field, few studies focused on a specific industry, especially with regard to F&B. Moreover, this paper considers different types of NPD performance measures given that different external knowledge sourcing modes exert different effects.

The aim of the paper is to identify the different directions of external knowledge search and to investigate their individual effect on performance at the firm level.

The empirical study is based on survey data gathered from two distinct informants of 248 large- and medium-sized high-tech manufacturing Spanish firms. In dealing with concerns on simultaneity and reverse causality, perceived time-lags among dependent and independent variables were introduced. Quantitative methods based on questionnaire answers were used.

Findings reveal six distinct external search patterns and indicate that, while market sources such as customers and competitors are positively associated with performance, knowledge acquired from general information sources, other firms beyond the core business and patents and databases have no significant effect. Moreover, knowledge obtained from science and technology organizations and from suppliers displays an inversed U-shaped effect on firm performance.

Conclusions can only be generalized to high-tech manufacturing firms from developed countries and, although well-established methodological procedures were followed, the nature of the study remains cross-sectional. Yet, an important implication emerges from this work: more openness to external knowledge is not always better. It is necessary to carefully evaluate the potential gains and pains of each type of partner and source.

This research provides guidance to managers about how to shape their companies’ inter-organizational networks, i.e. the specific external agents on which they should focus, as well as the efforts they should devote to each of these key partners.

By considering distinct directions of external knowledge search instead of a single dimension, the paper contributes to shed some more light to the mixed results reported by the scarce empirical studies that have investigated the effect of openness towards external knowledge on performance at the firm level.