Green innovation to respond to environmental regulation: How external knowledge adoption and green absorptive capacity matter?

2019 ◽  
Vol 29 (1) ◽  
pp. 39-53 ◽  
Author(s):  
Jianming Zhang ◽  
Gongqian Liang ◽  
Taiwen Feng ◽  
Chunlin Yuan ◽  
Wenbo Jiang
Keyword(s):  
Environmental Regulation ◽  
Absorptive Capacity ◽  
Green Innovation ◽  
External Knowledge ◽  
Knowledge Adoption

scholarly journals Absorptive capacity and relationship learning mechanisms as complementary drivers of green innovation performance

2018 ◽  
Vol 22 (2) ◽  
pp. 432-452 ◽  
Author(s):  
Gema Albort-Morant ◽  
Antonio L. Leal-Rodríguez ◽  
Valentina De Marchi
Keyword(s):  
Absorptive Capacity ◽  
Manufacturing Sector ◽  
Innovation Performance ◽  
Path Modeling ◽  
Green Innovation ◽  
Learning Mechanisms ◽  
Content Type ◽  
External Knowledge ◽  
Automotive Components ◽  
Knowledge Based

Purpose This paper aims to explore in depth how internal and external knowledge-based drivers actually affect the firms’ green innovation performance. Subsequently, this study analyzes the relationships between absorptive capacity (internal knowledge-based driver), relationship learning (external knowledge-based driver) and green innovation performance. Design/methodology/approach This study relies on a sample of 112 firms belonging to the Spanish automotive components manufacturing sector (ACMS) and uses partial least squares path modeling to test the hypotheses proposed. Findings The empirical results show that both absorptive capacity and relationship learning exert a significant positive effect on the dependent variable and that relationship learning moderates the link between absorptive capacity and green innovation performance. Research limitations/implications This paper presents some limitations with respect to the particular sector (i.e. the ACMS) and geographical context (Spain). For this reason, researchers must be thoughtful while generalizing these results to distinct scenarios. Practical implications Managers should devote more time and resources to reinforce their absorptive capacity as an important strategic tool to generate new knowledge and hence foster green innovation performance in manufacturing industries. Social implications The paper shows the importance of encouraging decision-makers to cultivate and rely on relationship learning mechanisms with their main stakeholders and to acquire the necessary information and knowledge that might be valuable in the maturity of green innovations. Originality/value This study proposes that relationship learning plays a moderating role in the relationship between absorptive capacity and green innovation performance.

scholarly journals Accelerating Green Innovation Performance from the Relations of Network Potential, Absorptive Capacity, and Environmental Turbulence

2021 ◽  
Vol 13 (14) ◽  
pp. 7765
Author(s):  
Shuizheng Song ◽  
Md Altab Hossin ◽  
Xiaohua Yin ◽  
Md Sajjad Hosain
Keyword(s):  
Sustainable Development ◽  
Absorptive Capacity ◽  
Bootstrap Method ◽  
Manufacturing Firms ◽  
Innovation Performance ◽  
Mediation Effect ◽  
Environmental Turbulence ◽  
High Tech ◽  
Green Innovation ◽  
The Relationship

The demand for sustainable development and the advantages of industries are expediting over time with the triggering of green innovation performance (GIP). Improving a firm’s GIP, especially in manufacturing industries, can accelerate green development and mitigate the global-concerned environmental issues. Thus, to investigate GIP from its antecedent factors, we delineate the relationship between network potential, absorptive capacity, environmental turbulence, and GIP based on social network theory, organizational learning theory, and contingency theory. We tested our hypotheses based on 233 sets of questionnaire surveys from high-tech manufacturing firms in China through deploying the hierarchical regression and bootstrap method. Our empirical findings reveal that the network potential dimensions, including network position centrality (NPC), network structure richness (NSR), and network relationship closeness (NRC), significantly positively impacted the GIP. The absorptive capacity (AC) partially mediated the relationship between the network potential dimensions and GIP. Environmental turbulence (ET) as an essential mechanism not only positively moderated the relationship between AC and GIP but also enhanced the AC mediation effect. These findings indicate that manufacturing firms should continue to improve network potential and AC and respond rapidly to changes in the external environment to enhance GIP, consequently contributing to the sustainable development of the economy.

scholarly journals Responsible innovation among academic spin-offs: how responsible practices help developing absorptive capacity

2015 ◽  
Vol 15 (2) ◽  
pp. 165-179 ◽  
Author(s):  
V.E. Scholten ◽  
P.A. van der Duin
Keyword(s):  
Conceptual Model ◽  
Absorptive Capacity ◽  
Stakeholder Engagement ◽  
Innovation Process ◽  
Responsible Innovation ◽  
Social Responsiveness ◽  
External Knowledge ◽  
Negative Effect ◽  
Sustainability Practices ◽  
Start Ups

Responsible innovation (RI) among technology-based start-ups has received little attention, while these firms are known to operate on the edges of what is socially desirable or ethically acceptable. In this paper we develop a conceptual model that captures the RI practices among 61 academic spin-offs and investigate how it affects the capacity of the firm to absorb external knowledge to better the exploitation of the innovation. The findings indicate that potential absorptive capacity is increased by both stakeholder engagement and social responsiveness, while realized absorptive capacity is moderately increased through social responsiveness. Remarkable is the finding that the extent that sustainability practices resonate in the start-ups operations does have a negative effect on the potential absorptive capacity. These results provide insight in the way in which start-ups adopt a RI philosophy to their innovation process and help to better understand how they learn and acquire external knowledge to increase the acceptance of their innovations. The findings provide clear recommendations for entrepreneurs and policymakers in the field of entrepreneurship and innovation.

Research on green innovation countermeasures of supporting the circular economy to green finance under big data

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Zhao Yaoteng ◽  
Li Xin
Keyword(s):  
Big Data ◽  
Environmental Regulation ◽  
Fixed Time ◽  
Spatial Effect ◽  
Regression Coefficients ◽  
Green Innovation ◽  
Time And Space ◽  
Content Type ◽  
Green Finance ◽  
Lag Model

PurposeThe purpose of this paper is to explore the sustainable development strategy of green finance under the background of big data.Design/methodology/approachFrom the perspective of big data, this paper uses quantitative and qualitative analysis methods to judge the correlation among green finance, environmental supervision and financial supervision. Green finance gives the entropy method to calculate the score of green finance and environmental regulation, and establishes the spatial lag model under the double fixed effects of time and space.FindingsSpatial autocorrelation test shows that economic spatial weight matrix has obvious spatial effect on green innovation. Through the model selection test, the space lag model with fixed time and space is selected. The regression coefficients of green finance, environmental regulation and their interaction are 0.1598, 0.0541 and 0.1763, respectively, which significantly promote green innovation. The regression coefficients of openness, higher education level and per capita GDP are 0.0361, 0.0819 and 0.0686, respectively, which can significantly promote green innovation.Originality/valueIn view of the current situation of large-scale application of big data technology in green innovation of domestic energy-saving and environmental protection enterprises, this paper establishes a fixed time lag evaluation model of green innovation. M-test statistics show that the original hypothesis with no obvious spatial effect is rejected.

How firms accumulate knowledge to innovate – an empirical study of Vietnamese firms

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Duy Quoc Nguyen
Keyword(s):  
Developing Countries ◽  
Knowledge Acquisition ◽  
Absorptive Capacity ◽  
Open Innovation ◽  
Content Type ◽  
Innovative Performance ◽  
External Knowledge ◽  
Knowledge Depth ◽  
Exploratory Innovation ◽  
External Knowledge Acquisition

PurposeOrganizational 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.Design/methodology/approachA 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.FindingsThe 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.Practical implicationsThe 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.Originality/valueThis 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.

Determinants of the Use of Knowledge Sources in the Adoption of Open Source Server Software

2012 ◽  
pp. 287-304
Author(s):  
Kris Ven ◽  
Jan Verelst
Keyword(s):  
Open Source ◽  
Absorptive Capacity ◽  
Exploratory Study ◽  
Knowledge Sources ◽  
External Knowledge ◽  
Capacity Theory ◽  
Knowledge Barriers ◽  
Server Software ◽  
Use Of Knowledge ◽  
Insight Into

Previous research suggests that the adoption of open source server software (OSSS) may be subject to knowledge barriers. In order to overcome these barriers, organizations should engage in a process of organizational learning. This learning process is facilitated by exposure to external knowledge sources. Unfortunately, this leaves open the question of which factors determine which knowledge sources are used by organizations. In this study, the authors have performed an exploratory study on the determinants of the use of knowledge sources in the adoption of OSSS. The conceptual model developed in this study was based on the absorptive capacity theory. Data was gathered from 95 organizations to empirically investigate this model. Results provide a quite consistent view on how external knowledge sources are used by organizations in the adoption of OSSS. Moreover, results provide more insight into the context in which the adoption of OSSS takes place.

scholarly journals The Penetration of Green Innovation on Firm Performance: Effects of Absorptive Capacity and Managerial Environmental Concern

2019 ◽  
Vol 11 (9) ◽  
pp. 2455 ◽  
Author(s):  
Min Xue ◽  
Francis Boadu ◽  
Yu Xie
Keyword(s):  
Firm Performance ◽  
Hierarchical Linear Modeling ◽  
Absorptive Capacity ◽  
Environmental Sustainability ◽  
Environmental Concern ◽  
Green Innovation ◽  
Linear Modeling ◽  
Performance Effects ◽  
Performance Dimensions ◽  
Positive Effect

Under the background of environmental sustainability, it is of great significance to investigate how green innovation influences firm performance dimensions in emerging economies. Explicitly, the interaction effects of absorptive capacity (AC) and managerial environmental concern (MEC) on the correlation between green innovation and firm performance dimensions must be explored. Our data were obtained through a questionnaire survey from 253 companies operating in China. Using hierarchical linear modeling (HLM), we found that (1) green innovation has a robustly positive effect on firm performance dimensions (operational, financial and environmental), and (2) absorptive capacity and managerial environmental concern can positively affect the correlation between green innovation and firm performance dimensions. Our results illustrate the integrating effects of absorptive capacity, managerial environmental concern, green innovation and firm performance dimensions.

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