scholarly journals A Comparative Analysis of Corporate R&D Capability and Innovation: Focused on the Korean Manufacturing Industry

2020 ◽  
Vol 6 (4) ◽  
pp. 100 ◽  
Author(s):  
Jaeseong Kim ◽  
Sang Ok Choi

In order to improve innovation performance, it is necessary to analyze a series of processes that are connected to innovation performance, as well as R&D input. Since industrial characteristics affect innovation performance, the differences between corporate R&D capabilities in the industrial sector should also be considered. This study verified the effect of R&D capabilities and absorptive capacities on innovation using a structural equation model for Korean manufacturing companies, and analyzed in-depth the relationship between capability and performance of high- and low-tech sectors through multi-group analysis. The results show that internal and external R&D capabilities had a positive effect on absorptive capacities, and potential absorptive capability had a positive effect on realized absorptive capacity. In addition, internal R&D capability and realized absorptive capacity had a positive effect on innovation, and the mediating effect of absorption capacities could be identified. As a result of industry sector-specific analysis, the latent mean of internal R&D capability and innovation of the high-tech sector were higher, and the path coefficient of the high-tech sector from the internal R&D capability to potential absorptive capacity and innovation performance was more strongly identified than those of the low-tech sector. Based on the results of this study, we would like to present policies for the development of firm’s R&D capabilities by the industry sector.

2019 ◽  
Vol 24 (1) ◽  
pp. 43-65 ◽  
Author(s):  
Suming Wu ◽  
Xiuhao Ding ◽  
Ruihong Liu ◽  
Hui Gao

Purpose Open innovation and information systems have been key topics in the theoretical domain, but little empirical research thoroughly examines how information technology (IT) capability affects open innovation performance. Thus, the purpose of this paper is to explore the relationship between IT capability and open innovation performance and to expose the inner mechanism at the firm level. Design/methodology/approach This paper collected firm-level data in China; 232 usable questionnaires from different firms were collected. Then, the study used a structural equation model by AMOS for hypothesis testing. Findings The results indicate that both internal IT capability and external IT capability have positive impacts on open innovation performance; potential absorptive capacity and realized absorptive capacity mediate the relationship between external IT capability and open innovation performance. Additionally, realized absorptive capacity plays a mediating role in the relationship between internal IT capability and open innovation performance. Practical implications These findings indicate that practitioners should pay attention to the important relationship between absorptive capacity and IT capability and open innovation performance in Chinese businesses. Originality/value Existing research has emphasized the influence of IT on open innovation, but empirical studies have not thoroughly focused on the inner mechanisms of the effect of IT capability on open innovation performance. Drawing on firm capability theory, this paper classifies IT capability as internal and external IT capability and absorptive capacity as potential and realized absorptive capacity. Then, this paper confirms the mediating role of absorptive capacity between IT capability and open innovation performance.


2021 ◽  
Vol 13 (14) ◽  
pp. 7765
Author(s):  
Shuizheng Song ◽  
Md Altab Hossin ◽  
Xiaohua Yin ◽  
Md Sajjad Hosain

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.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Thammanoon Charmjuree ◽  
Yuosre F. Badir ◽  
Umar Safdar

PurposeThis study is among the very few to examine the firm's simultaneous use of both dimensions of open innovation and its influences on the firm's process innovation performance (PIP). Specifically, the authors consider the relationship between firm's external technology acquisition (ETA) and external technology exploitation (ETE) and examine their direct, indirect and mediating effect on the firm's PIP. The authors also examine the moderating effect of the organizations' unabsorbed slack (UASL) on the relationship between ETA and ETE.Design/methodology/approachAnalyzing data collected from 311 small- and medium-sized software development firms in emerging market; Thailand, we show that both ETA and ETE have a positive effect on PIP and that ETE fully mediates the relationship between ETA and PIP.FindingsThe authors show that both ETA and ETE have a positive effect on PIP and that ETE fully mediates the relationship between ETA and PIP. Moreover, the relationship between ETA and ETE is positively moderated by the firms' unabsorbed slack (UASL) and that the influence of ETA on PIP through ETE is stronger under higher unabsorbed slack.Originality/valueThe authors extend the “traditional” performance outcome of outbound dimension of open innovation concept, which focuses exclusively on commercialization and market (Chesbrough, 2003b), by showing that ETE positively influences the firm's PIP. Moreover, the study explains the mechanism through which ETA influence the firm's PIP by proposing that ETE fully mediates the relationship between ETA and PIP.


2019 ◽  
Vol 27 (4) ◽  
pp. 70-90 ◽  
Author(s):  
Jung-Chieh Lee ◽  
Chung-Yang Chen

Software process improvement (SPI) is critical to information system development. In the context of successful SPI, this research focuses on a firm's dynamic learning ability to see how it facilitates an effective means of acquiring and utilizing external SPI knowledge in responding to changing software development environments. Specifically, the authors propose a research model to investigate how two mechanisms of absorptive capacity are incorporated with innovation culture as a contextual factor to enable successful software process improvement. A survey was conducted including 125 SPI certified firms in China and Taiwan to examine the model. The findings indicate that a firm's potential absorptive capacity significantly influences realized absorptive capacity, which has a significant impact on SPI success and acts as a partial mediator between potential absorptive capacity and SPI success. Moreover, the results suggest that the mediating effect of potential absorptive capacity on SPI success via realized absorptive capacity is amplified when innovation culture is imposed.


2020 ◽  
Vol 26 (5) ◽  
pp. 1021-1039 ◽  
Author(s):  
T. Ramayah ◽  
Pedro Soto-Acosta ◽  
Khoo Kah Kheng ◽  
Imran Mahmud

PurposeFirms' knowledge-processing capabilities have a central role in achieving innovation performance and competitive advantage. Absorptive capacity capabilities and innovation are viewed as essential for enterprise success. Absorptive capacity is deemed as a highly important organizational capability to recognize value and assimilate both external and internal knowledge in order to enhance firm innovation. The aim of this study is to determine if innovation performance can be improved through absorptive capacity (knowledge acquisition, dissemination and utilization), when it is supported by internal (firm experience) and external knowledge sources (R&D cooperation and contracted R&D).Design/methodology/approachA quantitative methodology based on employing a structured questionnaire was used for data collection. The proposed research model and its associated hypotheses are tested by using Partial Least Squares (PLS) structural equation modelling (SEM) on a data set of 248 manufacturing companies located in the Northern Region of Malaysia.FindingsResults showed that firms' experience is significantly related to absorptive capacity, while for R&D cooperation and contracted R&D findings were mixed. In addition, absorptive capacity was found as a strong predictor of innovation performance.Originality/valueOne of the defining features of competition in many industries has been the extremely rapid pace of technological change, marked by a continuous stream of innovations. Manufacturing firms, therefore, face the challenge of nurturing existing knowledge and developing novel knowledge in order to create new business opportunities. This study makes valuable contributions with regard to understanding the behavioural of manufacturing firms towards process and product innovation.


2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ricardo Zimmermann ◽  
Luis Miguel D.F. Ferreira ◽  
Antonio Carrizo Moreira ◽  
Ana Cristina Barros ◽  
Henrique Luiz Correa

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.


2019 ◽  
Vol 23 (9) ◽  
pp. 1729-1746 ◽  
Author(s):  
Xiongfeng Pan ◽  
Ma Lin Song ◽  
Jing Zhang ◽  
Guangyou Zhou

Purpose This paper aims to identify the influence of innovation network and technological learning on innovation performance of high-tech cluster enterprises. Design/methodology/approach Using a questionnaire, data are collected from Dalian High-tech Industrial park in China. In addition, structural equation model is used to identify the influence of innovation network and technological learning on the innovation performance of high-tech cluster enterprise. Findings The findings of this study show that the centrality of network location and the strength of the network relationship have a direct positive effect on technology acquisition, technology digestion and technology exploit of high-tech cluster enterprises. Meanwhile, technology acquisition has a direct positive effect on technology digestion, technology digestion has a direct positive effect technology exploit, and technology exploit has a direct positive effect innovation performance of high-tech cluster enterprises. Practical implications To improve innovation performance, high-tech cluster enterprises should not only nurture and optimize innovation networks but also improve technological learning ability. Originality/value This paper empirically supports the significant influence of innovation network and technological learning on innovation performance. While the results provide guidance for researchers and practitioners, it also adds value to innovation-related research.


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