Innovation Performance Of Companies Research Articles

Research on the Impact of Customer Participation in the Innovation on Enterprise Innovation Performance Under the Background of MindCloud

The age of MindCloud gives more possibilities for companies to acquire the information of customer behaviour. This page analyzes the analyse the influence mechanism of customer participation on innovation performance, which can give the theoretical and managerial implication for companies. The results show that intelligent collection of customer behaviour and intelligent analysis of consumer behavior have significant impact on promoting company innovation performance. Meanwhile, the information from ordinary customer and special customer are all valuable for promoting company innovation performance.

"신산업분야 규제완화 정책이 기업의 혁신성과에 미치는 영향 : 성향점수매칭을 통한 정책효과 분석"

"신산업분야 규제완화 정책이 기업의 혁신성과에 미치는 영향 : 성향점수매칭을 통한 정책효과 분석"

The impact of supply chain fit on business and innovation performance in Brazilian companies

PurposeThis paper investigates the effect of the fit between supply and demand uncertainty (SDU) and supply chain responsiveness (SCR) (SC fit) on business and innovation performance in Brazilian companies.Design/methodology/approachThe study presented an analysis carried out on an empirical study based on a sample of 150 manufacturing companies. Business and innovation performance of companies with different types of SC fit ( high–high and low–low fits) and misfit (positive and negative) are compared and discussed.FindingsThe results indicated that SC fit had a positive effect on both business and innovation performance. Further analyses suggested that companies with SC fit present similar business performance, independent of the level of SDU that characterizes the environment where they compete, while companies in environments with higher levels of uncertainty tend to present superior innovation performance. Companies with positive and negative misfit present similar performance.Originality/valueAn analysis of the literature showed that there is no consensus when it comes to the definitions and measurements of SC fit. The paper investigates the effects of SC fit on business and innovation performance, while previous empirical studies have mainly addressed its impact on financial performance. Moreover, this study compares the effects of two types of fit and two types of misfit and assesses SC fit in Brazilian manufacturing companies, analyzing the context of an under-researched reality.

A Framework of User Classification Model of Online User Innovation Communities Based on User Innovation Value

The online user innovation communities (OUICs) provide a platform for users to participate in innovation activities, share product experience, and interact with each other. Different types of users have different innovation values. Classification of users can facilitate better community management and maximize the value of users. In the existing user classification research, the analysis of user innovation value is not in-depth enough, and the professional knowledge of each stage of product development possessed by users is not fully considered, which is the key to maximize the value of user innovation. Therefore, we comprehensively consider the user’s innovation capability, professional capability, influence capability and active capability, and propose a measurement method of user innovation value (4C). And based on user innovation value, a framework of a three-dimensional user classification model (TIS) was proposed combined with the product development stages and topics that users participated in, which contains topics, innovation value, and stage. It can enable companies to introduce high-innovation value users with different professional knowledge backgrounds at different stages of product development, and give full play to their innovation value, which is conducive to improving the product innovation performance of companies.

Does Smart & Powerful CEO Contribute to the Performance of Technology Companies?

In recent decades, innovative companies became one of the major drivers of economy worldwide. According to surveys, nearly 70% of the world’s most innovative companies in 2019 are U.S. firms. However, academic studies mostly focused on the influence of the top management team and the board of director’s on the firm performance, on the relationship between innovations and CEO`s preferences. However, we suppose CEO can exert a significant influence on performance of innovative companies. We strive to show which CEO characteristics could lead to higher firm value. Does highly educated CEO contribute more to innovations in hi-tech sphere? Does CEO power matter? Are founders better CEOs than newcomers or professionals for technological companies with their longer horizons and higher risks? This research uses Generalized Least Square model on a sample of 12565 firm-year observations during 2004-2015 period. For this research we used data for three innovative industries: Pharmaceuticals, Biotechnology & Life Sciences, Software & Services and Technology Hardware & Equipment industries. We have hand-collected data from the CVs in CIQ database. Overall, the empirical results reveal that educational background, tenure, duality play crucial roles in explaining firm value. This study contributes to the existing literature in two aspects. First, our findings indicate that CEO characteristics play crucial roles in explaining technology firm value and performance. We demonstrated that founding CEO contributes to technology firm performance as well as the CEO with better education. Second, CEOs should be smart and powerful in order to sustain firm performance. We found that CEOs characteristics could mitigate the conflicts between different types of investors and their influence on firm performance. More specifically, CEOfounder was found to add greatly to the firm performance of Software and Pharmaceutical companies. Furthermore, the influence of CEO seems to mitigate the conflict of interest with independent active institutional investors in Hardware industry. We provided examples to prove the validity of our tests.

The Effect of Green Human Resource Practices on Green Innovation Performance: A New Paradigm from Industrial Companies in Jordan

The objectives of this study are twofold. First to explore the extent to which green human resource practices are applied in industrial companies in Jordan. Second, to investigate the impact of applying green human resources practices on green innovation performance. Green human resource practices were measured using green recruitment, green performance measurement, green training and development, and green pay and rewards. Green innovation performance was measured by green product innovation and green process innovation. Using a questionnaire developed based on the literature and distributed to a sample of managers (n = 350) from industrial companies (N = 47) in Jordan, the findings revealed a moderate degree of GHR practices adoption by industrial companies in Jordan. On the other hand, the results emphasized a significant effect of GHR practices on companies’ green innovation performance. In light of these results, the study recommend that industrial companies should pay greater attention to the adoption of GHR practices due to the positive impact of these practices on improving the innovation performance of companies. The study is considered one of the few studies that dealt with the impact of green human resource practices on green innovation performance, thus making a significant contribution to industrial companies and companies in other sectors in terms of the importance of GHR practices and the positive impact of these practices.

Are global R&D partnerships enough to increase a company's innovation performance? The role of search and integrative capacities

The number of global R&D partnerships has grown in recent times thanks to the wealth of cross-cultural knowledge and skills they provide to businesses, allowing firms to significantly differentiate their innovation processes and upgrade their innovation performance. But, in order to integrate and capitalize on external knowledge drawn through these international partnerships, companies also need to more effectively develop key internal capabilities. While the literature shows that absorptive capacity is critical in this process, only few studies successfully break up this concept into sub-capacities and analyze their specific impacts on firm's innovation performance, in particular in the specific and underdeveloped context of global R&D partnerships (GPs). This study addresses this research gap by empirically analyzing the interrelation between global R&D partnerships, search and integrative capacities, and innovation performance. We tested our hypotheses on a sample of 112 medium-sized Italian firms with established GPs, leveraging a Partial Least Square (PLS) Structural Equation Model (SEM). Our results suggest that knowledge drawn from GPs plays a vital role in the innovation processes of the analyzed firms, but only when combined with the development of both of the internal sub-capacities we investigated (namely search and integrative capacities) thus, demonstrating an indirect effect. Also, search capacity was found to have a stronger effect compared to integrative capacity, while also affecting the integrative capacity of the firm in question. The implications from a managerial perspective are also provided in order to stimulate debate on international R&D collaborations.

The impact of R&D tax incentive programs on the performance of innovative companies

Purpose This study aims to explore the influence of corporate taxation on the performance of innovative companies under various research and development (R&D) tax incentive programs. Design/methodology/approach The empirical model is based on the data of 520 companies for period 2007-2016. This model includes return on assets as the main proxy for performance and effective tax rate as a main explanatory variable. Controlling for other known determinants, the authors divide the sample into the subsamples to control for the various R&D tax incentive programs. The fact that the model includes the lagged explanatory variable of performance the Blundell –Bond model was applied. Findings The authors found evidence that corporate taxation has a significant impact on performance, but the direction could be ambiguous. Impact of the corporate tax rate on performance in general sample is significantly negative, which is consistent with results obtained by authors for the non-innovative companies. However, for further examination, the authors use subsamples of companies with different R&D tax incentive programs. The effect of corporate tax becomes positive under the patent box program only. Moreover, under various R&D tax incentive program, the impact of main control variables has changed. Therefore, the authors conclude that not only corporate taxation but also R&D tax incentive programs significantly influence the performance of innovative companies. Research limitations/implications The data are limited due to fragmented information disclosure about the R&D tax incentive program used. Thus, a different data set might reveal new information and correlation between variable on the same topic. Moreover, the authors do not cover all R&D tax incentive programs, which are specified for companies and countries. However, the study fills the gap between corporate taxation, performance and innovative companies. As the significant result was found the further research is important. The study contributes not only in the field of research but also a practical one. The choice of R&D tax incentive program influences main indicators of companies’ performance so it may change the behavior of the investors and decision-making managers of the companies. Originality/value Given the increasing interest in the topic of innovative companies, this study fills the gap between corporate taxation in innovative companies and performance. In addition, the importance of R&D tax incentive programs as a feature of innovative companies was found.

Firms’ innovation performance and the role of the metropolitan location. Evidence from the European periphery

ABSTRACTThis paper assesses the role of metropolitan location in explaining firms’ innovation performance while accounting for other internal and external determinants of innovation. Using micro-level dataset and controlling for firm-specific, sector-specific and region-specific features, we identify a nuanced effect of location within metropolitan areas on the innovative performance of companies The results prove to vary for the different measures of innovation output of firms and in particular there is no metropolitan advantage detected for binary self-declared measures of innovations. The advantage is detected for the count-based quantity of innovation measures which is shown to critically depend on the higher performance of metropolitan-based firms in patenting and licencing. The interlinkages between location and firm-size matter and the results are asymmetric with particular benefits arising for micro-firms in their patenting and licencing.

Decision-makers’ underestimation of user innovation

In the past few decades, much research has documented the importance of users as sources of innovations. Over the last 10 years, Research Policy alone has published 56 research articles investigating this phenomenon. We ask to what degree the findings of users as innovators have been absorbed by decision-makers responsible for new product development (managers) and by those who shape the contextual conditions for innovation (policy makers and public administration). A realistic perception of the sources of innovation is important as it constitutes the basis for a rational allocation of resources and thus indirectly impacts the innovation performance of companies and societies at large.In a large-scale survey of n = 1500 decision-makers, we found support for a substantial underestimation of users as a source of innovation: While the true proportion of user innovation among the most valuable 1678 innovations in nine industries is 54.4% (as established in existing research articles), decision-makers estimate it to be 21.7%. A content analysis of transfer media (450 academic textbooks, popular innovation books, and business articles) underscores this theory-practice gap: Of 3469 text paragraphs dealing with the sources of innovation, only 2.7% mention users as innovators. We develop six propositions on the reasons for and consequences of this underestimation that may serve as a starting point for future research and practical consequences.

Managing innovation processes in industrial sector. Qualitative study

The aim of this paper was to confirm the conceptual representation of innovation process by raising two interrelated questions: what is the impact of interactions on company innovation performance, and what is the relation between the design of innovation processes and company innovation performance? The aim was achieved through in-depth literature studies using the Salsa method and empirical study relying on the semi-structured interviews carried out with 24 respondents from Central and Eastern European companies. The paper presents a six-stage innovation process and the link between the design of the process, interactions within the process and innovation performance. The research suggested that designing the process to assure pre-preparation, reproducibility, information sharing, control together with managing outcome, resource interactions, external cooperation are essential from the innovation performance viewpoint. In most of the studied companies active innovation managing process was noted. The interviewees pointed out routines, formalised procedures, information sharing, transparency, reproducibility, and traceability as the key elements of improved innovation performance. Also, the role of resources interactions, benefit interactions and outcome interactions appearing at different stages of innovation process was discussed. The paper attempts to fulfil the research gap concerning the role of interactions and design of innovation process in increasing its efficiency.

The Influence of the Ownership Structure on the Performance of Innovative Companies in the US

Innovative companies are a major driver of the global economy. The typical major owner is an institutional investor. In recent years the stakes of institutional owners have increased, which should increase the role of institutional investors. Institutional investors, however, differ. Traditional investment managers, banks, insurance companies and hedge funds have different goals and strategies, so their roles in firms differ significantly. In this article we analyze the difference between technology and non-technology companies to find out the reason for the success of fast-growing corporations. This research uses a Generalized Least Square model on a sample of 12,565 firm-year observations 2004–15, to justify the assumption that different types of investors have different effects on the performance of innovative companies. The research reveals a distinction between the type of investor and the investor strategy. By focusing on the concentration of ownership, we demonstrate the performance effect on different blockholders. Our findings suggest, first, that grey investors decrease firm value; second, that passive independent institutions enhance firm performance in virtue of their active monitoring and long-term investment horizons; third, that innovative firms have different ownership patterns to traditional ones.

Enhancing Innovation Performance in Companies

The introductory article to the special section «Innovation in Companies» focuses on how to enhance the innovation performance in companies. It looks at the factors that define innovative activities at companies as well as the various kinds of corporate innovations. The author stresses importance of special training programs for managers, and suggests the need to take the specifics of local economic, cultural, and other factors into account when implementing relevant educational and policy initiatives aimed at fostering innovation.

Wpływ cykli koniunkturalnych na działalność innowacyjną przedsiębiorstw w krajach Unii Europejskiej

Różnokierunkowe powiązania między działaniami innowacyjnymi przedsiębiorstw a fazami cykli koniunkturalnych wywołują problemy z jednoznacznym określeniem charakteru tej zależności. Głównym celem artykułu jest ocena wpływu faz cyklu koniunkturalnego na nakłady oraz na efekty działań innowacyjnych podmiotów gospodarczych. Dlatego przeprowadzono badanie aktywności innowacyjnej firm w krajach UE i w Norwegii w latach 2002–2014, zarówno w okresach recesji, jak i w czasach ożywienia gospodarczego. Empiryczna weryfikacja teoretycznych założeń potwierdziła złożony charakter relacji między działalnością innowacyjną przedsiębiorstw a cyklami koniunkturalnymi.

Learning-by-exporting effects on innovative performance: empiric study results

This work examines the effects of learning-by-exporting on the innovative performance of a company. Innovations are considered both in the context of organisational and technological innovations. The following hypotheses are tested: the hypothesis on the increase in the performance of innovation activities as a result of a firm’s entry into foreign markets; the hypothesis on the importance of sustainable and long-term exports to improve the productivity of industrial companies; and the hypothesis on the impact of operation in developed or emerging markets on the innovative performance of industrial companies in Russia. The panel data of companies from three sectors of the manufacturing industry are used: high-, medium-, and low-tech. The result of the work is the established dependence of the increase in the performance of companies in high- and medium-tech industries on the company’s investments in new technologies, and the dependence of the increase in the performance of companies in low-tech industries on the introduction of organisational and managerial innovations. In addition, it has been shown that the influence of learning-by-exporting on the innovative performance depends on the industry affiliation of firms rather than on the geographical direction of exports (developed or emerging markets).

Successful management of diverse corporate innovation communities

PurposeIncreasing demographic diversity within societies and workforces causes challenges with regard to the innovation performance of companies. By definition, innovation communities nowadays are composed of members with diverse function background and age diversity. The challenging question is how to manage diverse corporate innovation communities. The purpose of this paper is to find out which factors determine the success of corporate innovation communities in times of demographic shifts.Design/methodology/approachThe empirical field to answer the research question are three corporate innovation communities in companies of different industries and size. Multiple case study methodology is applied to gather and analyse the data.FindingsThe study presents an empirically derived framework to structure success factors of diverse corporate innovation communities chronologically in the three phases of preparation, execution and finalization of a community work process. The success factors are described in detail and finally a time sequential guideline for those who are responsible for community management in demographic change is provided.Research limitations/implicationsIt is contributed to the literature on innovation communities and it is shown that innovation communities are not only an instrument to solve innovation tasks but are also a promising means to tackle other challenges of recent demographic changes. As limitation must be considered, that the analysed innovation communities only received corporate support for a short period of time and the supporting organizations operate in manufacturing industries in Germany only.Practical implicationsThe paper highlights that managers need to be aware that diversity in corporate innovation communities per se does not lead to success. Furthermore, a guideline of success factors for managers of diverse corporate innovation communities is presented which highlights important aspects that managers need to consider during the community work process.Social implicationsDue to demographic shifts in Germany and other European countries, societies in general and workforces in particular have modified. Most pervasive shifts take place with regard to age structures and diversity. Implications how manager could handle diversity successfully are therefore of high relevance for societies.Originality/valueThis study provides a theoretical understanding of the implications of organizational and age diversity on corporate innovation community management. Extant authors have already focussed on success factors in innovation communities and diverse settings isolated, but have not merged these issues.

Does government support for private innovation matter? Firm-level evidence from two catching-up countries

Turkey and Poland are two technology-follower countries that represent a similar level of economic development. In recent years the governments in both countries sought to improve the innovation performance of companies by increasingly offering grants for innovation activities. We analyze the institutional frameworks in which these policies were formulated and implemented, and we assess their efficiency by looking at data from the 2010 innovation surveys. We find that government aid for R&D activities contributed to better innovation performance by firms in both countries. By contrast, EU-funded grants for physical and human capital upgrading in Poland were inefficient in fostering innovation; in fact they may have actually impeded it. Policy conclusions for what we call “technology-follower countries with relatively well-developed institutions” are suggested.

The role of firm R&D effort and collaboration as mediating drivers of innovation policy effectiveness

This paper investigates the impact of firm R&D policies supporting R&D investment and collaboration on company innovation performance. Individual and cooperative R&D investments are considered as intermediate outcomes (input and behavioural additionality, respectively) contributing to the final outcome (probability of product innovation). We use a treatment random coefficient model to estimate the policy additionality on a panel data-set merging the third and the fourth wave of the Italian Community Innovation Survey. Results show a significant and positive policy impact on company propensity to product innovation only for the input additionality and for the interaction between the input and the cooperative additionality. This occurs when company cooperation scores overcome a given threshold, in accordance with the assumption that cooperation entails benefits but also coordination costs.

Triple Helix Model of University–Industry–Government Cooperation in the Context of Uncertainties

The purpose of the research is to look for the new ways of the investigation of the subsidy impacts on research and development (R&D) investment and company's innovation performance. Methodology of research based on the papers type or theoretical approach. Innovation performance measured by firms’ success in bringing innovations to the market, the share of sales that can attributed to products that were new to the market. R&D efficiency is the essential factor for company's innovation performance, it is the link between R&D input and output. The Triple Helix (TH) model assumes that the driving force of economic development in the post-industrial stage is the production and dissemination of socially organized knowledge. Institutions that generate knowledge increasingly play a role in the networks of relations among the key actors: University (Science), Industry (Business), and Government (Governance). Nowadays the impact of the external environment in particular is critical for innovation under different kinds of the uncertainty. Targeted innovation policy design fosters innovation performance, that is, whether the publicly induced part of the R&D investment translates subsequently into product market innovations. New research framework is created for practical implementation.

The Investigation of Knowledge Leadership in Innovation Performance of Companies

Knowledge leadership is essential for organizations focused on intensive technology in order to improvement of innovation performance through the effective development and implementation of performance of knowledge management. Knowledge leadership as a driving force for knowledge management measures that are indirectly linked with innovation performance. In fact, the more leadership is broader, more developed knowledge management practices, which in turn affects the performance of innovation. According to to the increasing demand for knowledge and activities to integrate knowledge, innovation can promote exchange and interaction between people, thus leading to joint activities of knowledge management and innovation performance.