How has Japan become a major economic power, a world leader in the automotive and electronics industries? What is the secret of their success? The consensus has been that, though the Japanese are not particularly innovative, they are exceptionally skilful at imitation, at improving products that already exist. But now two leading Japanese business experts, Ikujiro Nonaka and Hiro Takeuchi, turn this conventional wisdom on its head: Japanese firms are successful, they contend, precisely because they are innovative, because they create new knowledge and use it to produce successful products and technologies. Examining case studies drawn from such firms as Honda, Canon, Matsushita, NEC, 3M, GE, and the U.S. Marines, this book reveals how Japanese companies translate tacit to explicit knowledge and use it to produce new processes, products, and services.

The knowledge-creating company : how Japanese companies create the dynamics of innovation

Knowledge Management

What makes organizations so similar? We contend that the engine of rationalization and bureaucratization has moved from the competitive marketplace to the state and the professions. Once a set of organizations emerges as a field, a paradox arises: rational actors make their organizations increasingly similar as they try to change them. We describe three isomorphic processes-coercive, mimetic, and normative—leading to this outcome. We then specify hypotheses about the impact of resource centralization and dependency, goal ambiguity and technical uncertainty, and professionalization and structuration on isomorphic change. Finally, we suggest implications for theories of organizations and social change.

The iron cage revisited: Institutional isomorphism and collective rationality in organizational fields (Chinese Translation)

https://ro.uow.edu.au/cgi/viewcontent.cgi?article=1983&context=buspapers

Big data analytics and firm performance: Effects of dynamic capabilities

Toward the development of a big data analytics capability

Highlights?Exploring the effect Knowledge sharing (KS) have on innovation and firm performance. ?Confirming the mediating role of innovation between KS and performance. ?finding that explicit KS impacts innovation speed more than financial performance. ?finding that tacit KS impacts innovation quality more than operational performance. This study investigates the quantitative relationship between knowledge sharing, innovation and performance. Based on the literature review, we develop a research model positing that knowledge sharing not only have positive relationship with performance directly but also influence innovation which in turn contributes to firm performance. This model is empirically tested using data collected from 89 high technology firms in Jiangsu Province of China. It is found that both explicit and tacit knowledge sharing practices facilitate innovation and performance. Explicit knowledge sharing has more significant effects on innovation speed and financial performance while tacit knowledge sharing has more significant effects on innovation quality and operational performance.

Knowledge sharing, innovation and firm performance

Purpose – The aim of this paper is to investigate the impact of knowledge sharing (KS) on firm performance and the mediating role of intellectual capital (IC). Design/methodology/approach – A research model was developed based on prior KS and IC studies. A survey was administered to a sample of high technology firms in China and 228 usable responses were collected. Structural equation modeling (SEM) was employed to test the research model. Findings – Tacit KS significantly was found to contribute to all three components of IC, namely human, structural and relational capital, while explicit KS only has a significant influence on human and structural capital. Human, structural and relational capital, enhance both operational and financial performance of firms. The effect of KS on firm performance is mediated by IC. Explicit KS has a greater effect on financial performance than operational performance, whereas tacit KS has a greater impact on operational performance than financial performance. Research limit...

Knowledge sharing, intellectual capital and firm performance

This paper examines two ways to create business value of information technology BVIT: resource structuring and capability building. We develop a research model positing that IT resources and IT capabilities enhance a firm's performance by providing support to its competitive strategies and core competencies, and the strengths of these supports vary in accord with environmental dynamism. The model is empirically tested using data collected from 296 firms in China. It is found that IT resources generate more business effects in stable environments than in dynamic environments, while IT capabilities generate more business effects in dynamic environments than in stable environments. The results suggest that the BVIT creation mechanism in stable environments is primarily resource structuring while the mechanism in dynamic environments is primarily capability building.

Resource Structuring or Capability Building? An Empirical Study of the Business Value of Information Technology

Cloud computing is one of the hottest topics in the field of information systems. In this paper, we conduct a citation and co-citation analysis on cloud computing research published in the 11-year period from 2004 to 2014. A total of 214 papers were selected from 20 leading academic journals in IS and management and 2 prominent international IS conferences for our analysis. In the citation analysis, we rely on the degree centrality and betweenness centrality to identify 41 important papers. In addition, our main path analysis reveals three development stages of cloud computing research: the incubation stage, the exploration stage, and the burgeoning stage. In the co-citation analysis, we employ a principal component factor analysis of the co-citation matrix to identify six major research themes: foundations, SaaS model, security and risk, literature review, adoption and impacts, and modeling. This is among the first studies to examine the knowledge structure of cloud computing research in the IS discipline by using evidence-based analysis methods. Recommendations for future research directions in cloud computing are provided based on our analysis. We use Citation and Co-Citation Analysis to examine the knowledge structure of cloud computing research in the IS discipline.214 papers were selected from 20 academic journals and two IS conferences in the 11-year period from 2004 to 2014.We identify 41 important papers and three development stages: the incubation, exploration, and burgeoning stage.Six major research themes are identified. Recommendations for future research directions in cloud computing are provided based on our analysis.

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Nianxin Wang

Papers

Knowledge sharing, innovation and firm performance

Knowledge sharing, intellectual capital and firm performance

Resource Structuring or Capability Building? An Empirical Study of the Business Value of Information Technology

Cloud computing research in the IS discipline

Understanding the importance of interaction between creators and backers in crowdfunding success