Firm-level innovation and efficiency in the food sector: Insights from a literature-based innovation output indicator

2021 ◽  
pp. 1-18
Author(s):  
Fabian Frick ◽  
Corina Jantke ◽  
Johannes Sauer
Keyword(s):  
Food Sector ◽  
Firm Level ◽  
Innovation Output ◽  
Output Indicator

scholarly journals The Intensity of Knowledge Capital Investment in Kenya: Evidence from Manufacturing and Service Sectors

2017 ◽  
Vol 9 (10) ◽  
pp. 179
Author(s):  
Simon Ndicu ◽  
Lucy Wacuka
Keyword(s):  
Capital Investment ◽  
New Product ◽  
Knowledge Capital ◽  
Firm Level ◽  
Product Innovativeness ◽  
Service Sectors ◽  
Innovation Output ◽  
And Performance ◽  
Product Output ◽  
Combined Data

The study investigates the extent to which firms in Kenya manufacturing and service sectors invest in knowledge capital leading to innovations. 534 firms were included in the analysis. This was the combined data from the first Kenya innovation survey data of 2012, which covered 158 firms, (2008-2011) and the second Kenya innovation survey of 2015 which covered 376 firms (2012-2014). The Crépon, Duguet, and Mairessec (CDM) (1998) model, which considers a system of four equations: innovation propensity, innovation investment, innovation output and performance equations, was used as the estimation technique. The results revealed that, a firm’s decision to spend on R&D was significantly influenced by firm ownership, financial turnover and product innovativeness. A firm’s R&D intensity was significantly determined by its financial turnover and ownership. A firm’s activity and financial turnover were also significant in determining whether it introduced a new product in the market or not. The results of this paper suggest that a firm’s financial turnover was significant in R&D decisions but R&D intensity did not significantly matter to a firm’s product innovativeness. Further, a firm’s level of innovativeness was a significant determinant of its productivity. In addition, the results suggest that, innovations among the Kenyan firms in the manufacturing and service sectors were heavily reliant on financial capital and were struggling to convert knowledge inputs into product output. This study thus recommends a policy that incorporates the academia and firm level innovation with national innovation systems to enhance knowledge and skill intensive innovations that are new to the world.

Capital Account Liberalization and Firm Innovation: Worldwide Evidence

2021 ◽  
pp. 0148558X2110594
Author(s):  
Fangfang Hou ◽  
Xinpeng Xu
Keyword(s):  
Positive Impact ◽  
Set Covering ◽  
Capital Account ◽  
Legal Environment ◽  
Firm Level ◽  
Firm Innovation ◽  
Capital Account Liberalization ◽  
Data Set ◽  
Innovation Output

This study investigates whether capital account liberalization, a leading characteristic of globalization, is associated with firms’ future innovation output. Employing a novel firm-level panel data set covering 41 countries over two decades, we show that capital account liberalization is significantly associated with higher corporate patenting activities, particularly for firms from innovation-intensive industries. Further analyses show that the effect is stronger among firms from economies in a better legal environment, signifying the important role of good institutional quality in facilitating the positive impact of liberalization. The effect is also stronger among firms with higher initial productivity, consistent with the “productivity” hypothesis, according to which bigger and more productive firms generate more innovation after liberalization. Our findings are robust to the use of various measurements, subsamples, and estimation models. This study provides global firm-level evidence of the real economic impact of financial globalization.

A literature-based innovation output indicator

1996 ◽  
Vol 25 (3) ◽  
pp. 403-413 ◽  
Author(s):  
R. Coombs ◽  
P. Narandren ◽  
A. Richards
Keyword(s):  
Innovation Output ◽  
Output Indicator

scholarly journals Innovation, firm productivity, and export survival: firm-level evidence from ASEAN developing countries

2021 ◽  
Vol 10 (1) ◽  
Author(s):  
Utumporn Jitsutthiphakorn
Keyword(s):  
Developing Countries ◽  
Process Innovation ◽  
The Philippines ◽  
Export Market ◽  
Firm Productivity ◽  
Firm Level ◽  
Product And Process Innovation ◽  
Innovation Output ◽  
Product And Process ◽  
Innovation Approach

AbstractThis firm-level study investigates the importance of innovation as a determinant of firm productivity and how firm productivity could impact firm export survival. This is the first integration of the innovation approach, productivity approach, and firm survival approach to explore their linkages at the regional level in ASEAN developing countries. Using the panel database from the World Bank Enterprise Survey, which covers six developing countries in ASEAN—the Philippines, Indonesia, Vietnam, Laos, Cambodia, and Myanmar—and also covers six selected industries, we construct four equations: innovation inputs, innovation output, firm productivity, and export survival. The four equations’ findings suggest that the technology level of the sector, firm size, and exports are significant factors for R&D expenditure (innovation input). R&D expenditure is a significant driver of a firm’s product and process innovation (innovation output). Increasing firm productivity in the six ASEAN developing countries we considered is driven by process innovation rather than product innovation, and productive firms are more likely to survive in the export market.

scholarly journals COMPLEMENTARITIES OF R&D STRATEGIES ON INNOVATION PERFORMANCE: EVIDENCE FROM TAIWANESE MANUFACTURING FIRMS

2014 ◽  
Vol 19 (Supplement_1) ◽  
pp. S134-S156 ◽  
Author(s):  
Eric S. Lin ◽  
Yi-Chi Hsiao ◽  
Hui-lin Lin
Keyword(s):  
Developed Countries ◽  
Manufacturing Firms ◽  
Empirical Models ◽  
Combined Method ◽  
Firm Level ◽  
Data Set ◽  
Step Procedure ◽  
Level Data ◽  
Innovation Output ◽  
Consistent Estimators

This paper aims to empirically test the R&D complementarities among three alternative R&D strategies, namely, internal R&D, external R&D and cooperative R&D, under different measures of innovation output. Using a firm-level data set based on the Taiwanese innovation survey (in accordance with CIS 3) conducted in 2003, we are able to compare the R&D activities in this newly-industrialized country with other developed countries. Additionally, we apply a two-step procedure to reduce the endogeneity problem caused by the firms’ choices of strategies to obtain consistent estimators, which can be regarded as a combined method of adoption and productivity approaches. We show that the results of the estimation for R&D complementarities may be biased upwards or downwards if we do not include selection equations in the empirical models, thereby giving rise to endogeneity problems. Our empirical results generally support the existence of R&D complementarities, while the strength of complementary effects may vary across different measures of innovation output. Moreover, our finding suggests that the complementary relationship between external and cooperative R&D is fairly robust to various model specifications.

Effects of information sources for new customers and suppliers on the immediate innovation output of firms

2019 ◽  
Vol 22 (4) ◽  
pp. 660-680 ◽  
Author(s):  
Pankaj Kumar Medhi ◽  
Palakh Jain ◽  
Tinu Jain
Keyword(s):  
Information Sources ◽  
Sources Of Information ◽  
Firm Level ◽  
Content Type ◽  
Level Data ◽  
Product And Process Innovation ◽  
Innovation Output ◽  
Product And Process ◽  
Relational Aspect ◽  
Types Of Information

Purpose The purpose of this paper is to propose a typology of the information sources for new customers or suppliers on the basis of their existing relational linkage with the acquiring firm and to further explore whether various types of information sources for new customers and suppliers have any differential effect on a firm’s immediate innovation output. Design/methodology/approach The research sample was taken from the data collected by WB enterprise surveys (2005). The WB enterprise survey is considerably comprehensive for firm-level data. Relevant questions for the study were extracted from the survey. Simultaneously, EFA, CFA and SEM using AMOS 6.0 was run for the analysis. Findings The findings confirm that sources for a new customer and supplier with a strong relational aspect have a significant positive effect on a firm’s innovation output in the immediately following period. Research limitations/implications The research acknowledges the need to measure the effect of new supplier/customer on innovation depending on the type of information sources separately for product and process innovation as one of the major limitations. Practical implications This research can help managers obtain information of holistic and critical nature to incorporate in decision making for improving firm performance in innovation. Originality/value Customers and suppliers are well-established external sources of innovation ideas and information. But to what extant new customers or suppliers may be effective resources for innovation may depend largely on the sources through which they themselves are acquired by a firm, which is relatively unexplored. This study addresses the gap is the first of its kind to explore the role of the sources of information for new customer/supplier on a firm’s innovation output in the immediately following period.

INVESTIGATING FIRM-LEVEL EFFECTS OF KNOWLEDGE MANAGEMENT STRATEGIES ON INNOVATION PERFORMANCE

2015 ◽  
Vol 19 (01) ◽  
pp. 1550012 ◽  
Author(s):  
GIOVANNI MANGIAROTTI ◽  
ANNE-LAURE MENTION
Keyword(s):  
Knowledge Management ◽  
Management Strategies ◽  
Innovation Performance ◽  
Empirical Literature ◽  
Service Firms ◽  
Community Innovation Survey ◽  
Firm Level ◽  
Innovation Output ◽  
Output Only ◽  
The Impact

This study contributes to the scarce stream of literature that concentrates on measuring the firm-level effects of knowledge management (KM) strategies on innovation performance. It evaluates the impact of codification and personalisation strategies, both individually and jointly, distinguishing between innovation propensity and innovation output. The research applies a knowledge production function (KPF) approach to the Community Innovation Survey (CIS) data for Luxembourg. Reliance on internationally agreed definitions and focus on an open international economy largely dominated by innovative service firms provide an original and significant contribution to the available empirical literature. Findings indicate that personalisation and codification effects on innovation propensity are highly comparable. In contrast, personalisation exerts a positive effect on innovation output, whereas codification does not. Results further advocate that codification affects output only when combined with personalisation. However, the adoption of mixed strategies does not seem to be more effective than a pure personalisation strategy.

scholarly journals Innovation behavior of agri-food small and medium-sized enterprises: the case of Europe’s emerging economies

2020 ◽  
pp. 1-16
Author(s):  
Gaukhar B. Kussainova ◽  
Sayed H. Saghaian ◽  
Michael R. Reed
Keyword(s):  
Estimation Method ◽  
Business Environment ◽  
Workforce Training ◽  
Food Sector ◽  
Firm Level ◽  
Innovation Activities ◽  
Logit Estimation ◽  
Level Data ◽  
Fixed Assets ◽  
Survey Results

This paper examines the innovative behavior of agri-food firms located in Central and Eastern Europe. In the literature, empirical analyses on innovation activities of firms focus on various case studies from around the world. However, very few studies explore the innovation of small and medium sized enterprises from Central and Eastern Europe’s agri-food sector. The analysis uses the logit estimation method and firm-level data, which are obtained from ERBD-World Bank Business Environment and Enterprise Performance Survey. Results suggest that firms that spent some proportion of their financial budget on research and development, had workforce training programs, and bought fixed assets are more likely to launch product, process, organizational, and marketing innovations.

Cognitive proximity and innovation performance: are collaborators equal?

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mari O' Connor ◽  
Justin Doran ◽  
Nóirín McCarthy
Keyword(s):  
Innovation Policy ◽  
Probit Model ◽  
Innovation Performance ◽  
Community Innovation Survey ◽  
Firm Level ◽  
Content Type ◽  
External Knowledge ◽  
Innovation Output ◽  
Backward Linkages ◽  
The Impact

PurposeThis paper combines the concepts of search depth and cognitive proximity to investigate the impact of intense collaboration with different external agents on firms' innovation performance. It empirically tests whether firms that draw deeply on cognitively proximate collaborative partners are more innovative than those collaborating intensively with cognitively distant partners. It explores whether the impact of each external agent is equally important in determining the innovation output of firms.Design/methodology/approachUsing data from the Irish Community Innovation Survey 2012–2014, this paper employs a probit model to empirically test the impact of collaboration with cognitively proximate and distant sources of external knowledge to establish whether their impact on innovation performance is uniform.FindingsThe results show that not all collaborators equally impact firm innovation performance. Firms who indicate that knowledge sourced from backward linkages with suppliers is highly important are more likely to engage in both product and process innovation, with the effect more pronounced for the former. The extent of this is greatest for backward linkages compared to forward, horizontal and public linkages. Public linkages have the weakest impact on innovation output which raises questions from a policy perspective given the focus on university–industry collaboration for innovation. The findings indicate that collaboration with cognitively proximate sources of knowledge benefits firms' innovation output.Originality/valueThe study provides empirical evidence on the role of intense collaboration with cognitively proximate and distant external knowledge sources to explore their impact on the subsequent innovation performance of firms. The results can be used to help shape firm-level innovation policy, and indeed national policy, to promote innovation performance.

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