scholarly journals Impacts of Network Embeddedness Structure on Innovation Performance

2011 ◽  
Vol 2 (2) ◽  
pp. 25
Author(s):  
Jian Zhaoquan ◽  
Wu Zhuoshen ◽  
Liu Rong
Keyword(s):  
Knowledge Sharing ◽  
Structural Equation ◽  
Positive Impact ◽  
Innovation Performance ◽  
Equation Modeling ◽  
High Tech ◽  
Research Approach ◽  
Network Embeddedness ◽  
Structure Knowledge ◽  
New Research

Driven by the trend of global economic integration, informationlization and networking, the era of open innovation has arrived. Relationship network has become a new research approach of probing into the enterprises’ innovation, but the results are various. This research draws 114 samples from high-tech enterprises, utilizing structural equation modeling, aiming to explore the relationship among network embeddedness structure, knowledge sharing and innovation performance. Research results show that: (1) Enterprises’ relational embeddedness and structural embeddedness have a significant positive impact on innovation performance; (2) Knowledge sharing is the mediating variable in the path of network embeddedness structure on innovation performance. Hoping these results can enrich related theory, and also provide some practicing guidance for enterprises establishing relationship networks to improve innovation performance.

scholarly journals The mediating role of personnel training between innovation and performance: Evidence from the German pharmaceutical industry

2020 ◽  
Vol 20 (3) ◽  
pp. 41-52
Author(s):  
Julen Castillo Apraiz ◽  
◽  
Jesús Matey de Antonio ◽  
Keyword(s):  
Pharmaceutical Industry ◽  
Structural Equation ◽  
Positive Impact ◽  
Work Force ◽  
Innovation Performance ◽  
Equation Modeling ◽  
High Tech ◽  
Sustainable Competitive Advantage ◽  
Personnel Training ◽  
The Impact

Purpose – The need for companies to become more innovative has never been greater, because innovation helps them deal with a turbulent environment by providing them a sustainable competitive advantage. In this sense, it has been generally accepted that a successful innovative environment requires a welltrained work force. Nevertheless, the literature showing how personnel training drives the innovationperformance relationship in industries where innovation is a key factor is scarce, especially in high-tech industries such as the pharmaceutical industry. Thus, we build upon existing studies to contribute to the innovation and training-related literature by considering the latter as a mediating variable between innovation and business performance. Hence, we aim to assess the impact of innovation on performance, and bring new insights into the innovation-performance link by including training as a variable that drives the aforementioned relationship. Design/methodology – We apply the partial least squares structural equation modeling technique to a sample of German pharmaceutical firms. The data were collected in mid-2014 by means of a computerassisted telephone interviewing (CATI) procedure. As a result, 200 valid responses were obtained from CEOs. Findings – First, this study demonstrates that both innovation and personnel training have a significant, positive impact on performance. Second, the results suggest that training personnel does indeed positively mediate the innovation-performance link. Hence, our study helps explain how innovation effectively translates into greater levels of performance. Originality / value – We answer calls to clarify about the innovation-personnel training relationship to generate greater levels of performance in turbulent environments. Furthermore, we assess this fact in the pharmaceutical industry, where paradoxically there is a lack of studies within the aforementioned framework.

scholarly journals Enhancing the Innovation Performance of Small and Medium-Sized Enterprises Through Network Embeddedness

2020 ◽  
Vol 12 (3) ◽  
pp. 156-171
Author(s):  
Wisdom Wise Kwabla Pomegbe ◽  
Wenyuan Li ◽  
Courage Simon Kofi Dogbe ◽  
Charles Oduro Acheampong Otoo
Keyword(s):  
Structural Equation ◽  
Sampling Technique ◽  
Innovation Performance ◽  
Three Dimensions ◽  
Equation Modeling ◽  
External Resources ◽  
Goods And Services ◽  
Network Embeddedness ◽  
The Rich ◽  
Positive Effect

Based on Resource Based Theory (RBT), the competitiveness of Small and Medium-sized Enterprises (SMEs) depends on the uniqueness of resources used in the production and delivering of goods and services. Moreover, the innovation capability of SMEs is critical in enhancing their uniqueness. Various factors, however, could potentially influence SME innovation performance. This present study thus focuses on how SME innovation performance could be enhanced through the three dimensions of network embeddedness (relational, structural and cognitive). Founded on Resource Dependency Theory (RDT), the study seeks to demonstrate how SMEs could tap into the rich external resources within the networks they are embedded in. The study was based on 388 SMEs selected using a purposive sampling technique. A structured questionnaire was used for the data collection, with the data analyzed by structural equation modeling performed in Amos (v.20). The findings revealed that relational, structural and cognitive embeddedness had a positive effect on innovation performance, while structural embeddedness had the greatest impact on SME innovation performance. As such, SMEs seeking to improve their innovation performance through networks should pay critical attention to the network tie and density. Past studies on network embeddedness and innovation performance have shown conflicting results, and therefore this present study makes a notable contribution to the ongoing debate. Past studies have indicated a positive, negative, inverted u-shape, and even no significant relationship at all between the various dimensions of network embeddedness and innovation performance.

scholarly journals How Can Apple Farmers Be Encouraged to Apply Information Technology? The Moderating Effect of Knowledge Sharing

2021 ◽  
Vol 13 (18) ◽  
pp. 10228
Author(s):  
Xue Chen ◽  
Ye Jin ◽  
Shiping Mao
Keyword(s):  
Information Technology ◽  
Knowledge Sharing ◽  
Structural Equation ◽  
Explicit Knowledge ◽  
Positive Impact ◽  
Moderating Effect ◽  
Equation Modeling ◽  
Actual Behavior ◽  
Technology Application ◽  
Factors Influencing

Information technology has become an increasingly powerful driving force in modern agriculture. In particular, its application is important for the sustainable development of the apple industry. However, to promote technology application effectively, a better understanding of the behavioral intention of apple farmers towards such information technology is needed. This study uses micro data from 226 Chinese apple growers and applies the theory of planned behavior. The factors influencing apple farmers’ intention to choose information technology, along with factors influencing the transformation of that intention into actual behavior, are investigated through structural equation modeling. The results show that farmers’ information technology attitudes and perceived behavioral control have a significant positive impact on their intention to choose information technology, and that intention has a significant positive impact on behavioral response. Additionally, both tacit and explicit knowledge sharing have a positive moderating effect on transforming the intention to choose information technology into actual behavior, and the higher the degree of knowledge sharing, the stronger its moderating effect. The results imply that to achieve industry sustainability, the government needs to improve its guidance and incentives for agricultural technology, as well as support the development of a strong knowledge-sharing system specifically for agricultural information technology.

scholarly journals Understanding the Impact of Social Capital on the Innovation Performance of Construction Enterprises: Based on the Mediating Effect of Knowledge Transfer

2021 ◽  
Vol 13 (9) ◽  
pp. 5099
Author(s):  
Qing’e Wang ◽  
Luwei Zhao ◽  
Alice Chang-Richards ◽  
Yuanyuan Zhang ◽  
Hujun Li
Keyword(s):  
Social Capital ◽  
Knowledge Transfer ◽  
Structural Equation ◽  
Positive Impact ◽  
Innovation Performance ◽  
Mediating Effect ◽  
Equation Modeling ◽  
Construction Firms ◽  
Construction Enterprises ◽  
The Impact

In knowledge economy era, enterprise needs to innovate to maintain its advantages and competitiveness. Construction enterprises, being pillars of China’s economy and confronting the challenge brought by the strategy of “going out”, the call for their technology or management innovation was broadly pronounced across practical and academic fields. Social capital (SC), as a resource in a social network, is the basis for creating sustainable competitiveness and advantage for enterprises. The innovative achievements and innovation performance (IP) of enterprises are largely determined by their SC. To achieve competitiveness in the market, enterprises must carry out knowledge transfer (KT) with the other members of their networks. However, few scholars have examined weather SC has any effect on IP in construction enterprises. Using a KT perspective, this paper explored how SC affects the IP of construction enterprises. Based on the literature review and analysis, a conceptual model was constructed and validated using structural equation modeling (SEM). Through empirical analysis, the following conclusions were drawn: (1) SC has a positive impact on the IP of construction enterprises. Among them, the structural dimension (SD) and cognitive dimension (CD) have a significant positive impact on the IP of construction enterprises, while the relational dimension (RD) does not. (2) The SD, CD, and RD of construction enterprises’ SC have a positive influence on KT. (3) There are mediating effects of KT between SC and IP of construction firms, and they are partial. KT plays a partial mediating effect between SD, CD, and IP of construction firms. The research results can not only improve an understanding of effects of SC on IP of construction enterprises, but also validate the importance of KT in stimulating IP.

scholarly journals Knowledge sharing and innovation capability at both individual and organizational levels: An empirical study from Vietnam’s telecommunication companies

2020 ◽  
Vol 15 (2) ◽  
pp. 275-301 ◽  
Author(s):  
Tuan Phong Nham ◽  
Tuyet-Mai Nguyen ◽  
Nam Hoai Tran ◽  
Hao Anh Nguyen
Keyword(s):  
Knowledge Sharing ◽  
Structural Equation ◽  
Organizational Innovation ◽  
Positive Impact ◽  
Equation Modeling ◽  
Extensive Literature ◽  
Innovation Capability ◽  
Firm Innovation ◽  
Telecommunication Companies ◽  
Organizational Levels

AbstractThis paper aims at investigating the relationship between knowledge sharing activities and innovation capability at both individual and organizational levels. By reviewing extensive literature, a conceptual framework is built with integrating three factors: knowledge sharing, individual innovation capability and firm innovation capability. This study applies structural equation modeling (SEM) to analyze the data collected from 392 employees working at major Vietnam’s telecommunication companies. Empirical results show that knowledge sharing including knowledge donating, knowledge collecting play an important role in improving individual innovation capability. There is no direct link between knowledge collecting and organizational innovation capability, while knowledge donating has direct positive impact on product and managerial innovation. Furthermore, the individual innovation capability acts as a mediating variable between knowledge sharing practices and firm innovation capability. Implications for academics and practitioners are provided in this study.

scholarly journals Interplay of Knowledge Creation Capability and Organizational Forgetting on Absorptive Capacity and Innovation Performance among SMEs: A Symmetrical Approaches

2019 ◽  
pp. 1-12
Author(s):  
Ismail Raisal ◽  
Arun Kumar Tarofder ◽  
Athambawa Haleem
Keyword(s):  
Absorptive Capacity ◽  
Knowledge Creation ◽  
Structural Equation ◽  
Positive Impact ◽  
Innovation Performance ◽  
Mediating Effect ◽  
Equation Modeling ◽  
Innovative Performance ◽  
Organizational Forgetting ◽  
The Relationship

Organizations needs knowledge creation capability and organizational forgetting to enrich their innovative performance in ever-changing business setting.The purpose of this article is to explore the influence of knowledge creation capability, organizational forgetting and absorptive capacity on Firm’s innovative performance. We test the model using Partial least squares structural equation modeling (PLS-SEM) to analyze empirical data collected from 194SMEs listed in Sri Lanka inventors’ commission.The findings of the study show that in addition to their individually positive impact of knowledge creation capability and organizational forgetting on firm’s innovative performance, the absorptive capacity mediates the relationship between knowledge creation capability, organizational forgetting and innovation performance. As one of the first studies to integrate the  capabilities of creating internal new knowledge and unlearning outdated knowledge for advancing firm innovativenessthrough the mediating effect of absorptive capacity. A major implication of this finding is that absorptive capacity enhances the effect of knowledge creation capability and organizational forgetting on firm's innovativeness and affects the types of innovation strategies adopted by firms.

Network embeddedness and innovation performance: a mediation moderation analysis using PLS-SEM

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Hongyun Tian ◽  
Shuja Iqbal ◽  
Farooq Anwar ◽  
Shamim Akhtar ◽  
Muhammad Aamir Shafique Khan ◽  
...  
Keyword(s):  
Absorptive Capacity ◽  
Significant Relationship ◽  
Structural Equation ◽  
Manufacturing Industry ◽  
Innovation Performance ◽  
Equation Modeling ◽  
Content Type ◽  
Network Embeddedness ◽  
The Impact ◽  
The Relationship

PurposeThis study examines the impact of network embeddedness (NE) on innovation performance in small- and medium-sized enterprises (SMEs), and analyses absorptive capacity as mediator and openness as moderator.Design/methodology/approachData were collected from 209 employees of SMEs using a convenient sampling technique. Partial least squares structural equation modeling in SmartPLS was used to analyze the various constructs.FindingsThe results exhibit a positive and significant relationship in NE and absorptive capacity. Also, this study found a positive and significant relationship in absorptive capacity and innovation performance. Moreover, absorptive capacity has a positive and significant mediation role in the relationship between NE and innovation performance. Also, openness positively moderated the relationship of NE and absorptive capacity.Practical implicationsSMEs should try to implement the functions of NE, such as interaction with other firms in higher frequency, developing trust among all parties, clear alliance among the partners to enhance innovation performance. Similarly, SMEs should focus on absorptive capacity and openness to enrich innovation performance.Originality/valueThis study adds in the current literature of the chosen constructs and empirically contributes the effects in the manufacturing industry of Jiangsu Province, China.

scholarly journals Influence of the Mechanism of the Community of Shared Future on the Innovation Performance of Knowledge Workers: The Intermediary Role of Extra-Role Behavior

2019 ◽  
Vol 11 (19) ◽  
pp. 5370 ◽  
Author(s):  
Jianping Gu ◽  
Hanxiao Wu ◽  
Yan Li ◽  
Evan David Hermawan
Keyword(s):  
Knowledge Sharing ◽  
Structural Equation ◽  
Positive Impact ◽  
Helping Behavior ◽  
Innovation Performance ◽  
Voice Behavior ◽  
Role Behavior ◽  
Knowledge Sharing Behavior ◽  
Medium Enterprises ◽  
Sharing Behavior

This paper investigates the relationship between the community of shared future, extra-role behavior, and innovation performance. This paper conducts an empirical study based on 334 valid sample data items of 53 technology-based small to medium enterprises (SMEs) in China. The data were subjected to structural equation analysis using SPSS 20.0 software. The results show that the community of shared future positively affects the extra-role behavior of employees and their innovation performance and has a positive impact on knowledge sharing behavior, voice behavior, and helping behavior. Knowledge sharing behavior, voice behavior, and helping behavior all play a mediating role between the community of shared future and employees’ innovation performance.

Determinants of knowledge-sharing behaviour among students at higher educational institutions in Oman: a planned behaviour theoretical perspective of knowledge sharing

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Fadi Abdel Muniem Abdel Fattah ◽  
Abdul Hakim H.M Mohamed ◽  
Mohamed Izzeldin A. Bashir ◽  
Abrar Mohammed Mubarak Al Alawi
Keyword(s):  
Knowledge Sharing ◽  
Structural Equation ◽  
Positive Impact ◽  
Academic Staff ◽  
Partial Least Square ◽  
Least Square ◽  
Mediation Effect ◽  
Research Approach ◽  
Content Type ◽  
Factors Affecting

Purpose This paper aims to investigate how students’ attitude (SA), students’ subjective norms (SN), students’ knowledge sharing intentions (KSI) can contribute to the enhancement of knowledge sharing behaviour (KSB) among students at higher education institutes (HEI) in Oman. Design/methodology/approach This study follows the quantitative methodology and the deductive causal research approach. The data were conveniently collected through a Web-based questionnaire (Google forms) from 285 active students who are affiliated to Omani universities. SPSS was used to statistically analyse the collected data, including partial least square-structural equation modelling (PLS-SEM V3.3) to draw the results. Findings The study concluded that SA has both direct and indirect positive impact on SN, KSI and KSB. Moreover, the result revealed that there is a mediation effect between SA and KSB through KSI, SA and KSI when SN is playing as a mediation role. Research limitations/implications Although this study contributes to the existing body of knowledge, this study is limited by the scarcity of the related literature in the Omani context. It is recommended that these shortfalls be addressed together while improving the knowledge-sharing behaviour among students and administrative staff. Furthermore, the potential variation between academic staff and students in terms of factors affecting their intentions to share knowledge within HEIs should be explored. Practical implications This research provides policymakers in academic fields with the appropriate approaches to leverage the knowledge-sharing behaviour amongst Omani students with the understanding of the main factors affecting individuals’ knowledge-sharing behaviours. Social implications This will help in improving the means of employing and practising knowledge-sharing strategies within HEIs, which can generate competitive advantages amongst students and institutions while benefiting knowledge management strategies and its members. Originality/value The importance of the study stems from its context being conducted in Oman as a developing country. In addition, this study is one of the initial attempts to investigate KSB by considering SA, SN and KSI and its applicability on HEI in Oman. The findings of the study can serve as inputs to HEI in developing best practices across KSB dimensions and expanding the knowledge-sharing culture amongst HEI’s students in Oman. One of the developed strategies is the spreading of the knowledge-sharing culture among students by positively directing their attitude towards the practices of knowledge exchange.

Innovation performance of Italian manufacturing firms

2017 ◽  
Vol 20 (3) ◽  
pp. 428-445 ◽  
Author(s):  
Fabio de Oliveira Paula ◽  
Jorge Ferreira da Silva
Keyword(s):  
Structural Equation ◽  
Manufacturing Industry ◽  
Manufacturing Firms ◽  
Innovation Performance ◽  
Equation Modeling ◽  
High Tech ◽  
Content Type ◽  
External Knowledge ◽  
Italian Manufacturing Firms ◽  
Internal Knowledge

Purpose The purpose of this paper is to explain how internal and external sources of knowledge influence the innovation performance (IP) in Italian manufacturing firms and how different these relationships are for low-technology (LT) and high-technology (HT) firms. Design/methodology/approach The study proposed a model relating external knowledge, internal knowledge and IP that was tested using Bayesian structural equation modeling with a sample of Italian manufacturing firms of Community Innovation Survey 2010. It was run separately for high-tech firms (including HT and medium-HT aggregations of manufacturing industries of NACE Rev. 2) and low-tech firms (including LT and medium-LT aggregations). Findings The results showed a difference between high-tech and low-tech manufacturing firms in Italy. The investments to leverage internal knowledge sources are important for high-techs and not significant for low-techs. On the other hand, the level of external KS improves significantly the IP of low-techs and has a negative effect for high-techs. The level of absorptive capacity is central to improve the positive effect of the external knowledge on the IP for all firms, but it is still underdeveloped. Originality/value The effects of 2008 economic crisis hit the Italian manufacturing industry specifically hard and are still felt. Innovation is a solution for firms’ growth and Italy is considered a below-average innovator country in Europe. The study could identify important gaps in Italian manufacturing firms that hinder their innovative performance improvement.

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