scholarly journals Tacit knowledge, localization push, and diffusion of science: Evidence from Singapore

Author(s):  
Albert G Z Hu ◽  
Vu Thinh Ly

Abstract We propose localization push, as an alternative to tacit knowledge, to explain the localization of knowledge diffusion. Sponsors of scientific research enact policies and create institutions for locally-produced knowledge spillovers. We hypothesize that localization necessitated by tacit knowledge renders the local diffusion of such knowledge more productive than distant commercialization. However, this is not the case when the localization push is the primary reason for the localization. We empirically investigate the hypothesis using data on knowledge diffusion in SingaporeOur main findings are as follows: (1) The diffusion of basic research, measured by journal articles cited in patents, is localized, but this is almost exclusively accounted for by Singaporean public institutions; (2) Local patents citing papers authored by Singaporeans are less significant than foreign patents citing such papers; and (3) Singaporean public patent applicants are more willing to seek multijurisdiction patent protection despite the ineffectiveness of their commercialization efforts.

2020 ◽  
Vol 66 (12) ◽  
pp. 5485-5504 ◽  
Author(s):  
Eduardo Melero ◽  
Neus Palomeras ◽  
David Wehrheim

This article investigates the effect of patent protection on the mobility of early-career employee-inventors. Using data on patent applications filed at the U.S. Patent and Trademark Office between 2001 and 2012 and examiner leniency as a source of exogenous variation in patent protection, we find that one additional patent granted decreases the likelihood of changing employers, on average, by 23%. This decrease is stronger when the employee has fewer coinventors, works outside the core of the firm, and produces more basic-research innovations. These findings are consistent with the idea that patents turn innovation-related skills into patent-holder-specific human capital. This paper was accepted by Ashish Arora, entrepreneurship and innovation.


2022 ◽  
Vol 14 (1) ◽  
pp. 104-145
Author(s):  
Jie Cai ◽  
Nan Li ◽  
Ana Maria Santacreu

This paper provides a unified framework for quantifying the cross-country and cross-sector interactions among trade, innovation, and knowledge diffusion. This framework is used to study the effect of trade liberalization in an endogenous growth model in which comparative advantage and the stock of knowledge are determined by innovation and diffusion. The model is calibrated to match observed cross-country and cross-sector heterogeneity in production, innovation efficiency, and knowledge spillovers. The counterfactual analysis shows that a reduction in trade costs induces a reallocation of R&D and comparative advantage across sectors. Heterogeneous knowledge diffusion amplifies the specialization effects of trade-induced R&D reallocation, becoming an important source of welfare. (JEL F12, F14, O33, O34, O41)


Organizacija ◽  
2017 ◽  
Vol 50 (2) ◽  
pp. 163-176 ◽  
Author(s):  
Olja Arsenijević ◽  
Dragan Trivan ◽  
Iztok Podbregar ◽  
Polona Šprajc

Abstract Background and Purpose: This paper analyses the strategic aspects of knowledge management in organizations in Serbia, from the theoretical and empirical point of view. In its theoretical part, the paper analyzes the latest literature in the fields of knowledge management, relations between communications strategyes and knowledge management, generations of knowledge management and organizational culture. Design/Methodology/Approach: In its empirical part, the paper deals with determining the level of knowledge management in Serbian organizations through diffrent generations of knowledge management, as well as the problem with explicit and tacit knowledge management. The hypotheses were tested using data colleted from organizatons in Serbia via questionnaire, which consisted of 50 questions to examine five key factors in knowledge management. Results: The results showed that out of 41 indicators, only eight are rated positively. Results of t-test indicate significant distinctions within factors affecting the quality of knowledge management, as well as differences in quality of explicit and tacit knowledge management, therefore they confirmed both hypotheses. Conclusion: The knowledge management projects in organizations in Serbia are initiated, as well as that belonging to the first generation of knowledge management can be defined.


2019 ◽  
Vol 50 (4) ◽  
pp. 672-697 ◽  
Author(s):  
Daniel G Colombo ◽  
Jorge Martinez-Vazquez

Abstract This article presents a first analysis of the potential link between the level of fiscal decentralization of a country and its public investment in innovation. We present a theoretical model where a “benevolent government” invests in research and development (R&D) aiming at maximizing net income, and R&D results are subject to interregional knowledge spillovers. The model predicts that decentralization leads to a lower level of public spending on innovation, and to a lower share of basic research in the government R&D budget. These hypotheses are empirically tested using country aggregate data. The results provide empirical support to the mentioned hypotheses, as we find evidence that higher levels of both expenditure and revenue decentralization are associated with a lower intensity of basic research in public R&D and with a lower level of R&D spending. The strength of the evidence, however, is weakened by the small sample size and shortcomings of the indicators used in the analysis.


Author(s):  
Michael J. Zhang

In this chapter, a study that investigated the roles of interpersonal trust in knowledge seeking in China is presented. Specifically, the study examined and tested the effects of two distinct types of interpersonal trust (cognition-based and sincerity-based) on Chinese employees' willingness to seeking two different types of knowledge (explicit and tacit). Using data from a survey of 243 Chinese MBA students at two universities in China, the study found both types of interpersonal trust positively related to explicit knowledge seeking as well as tacit knowledge seeking. The study also found that cognition-based trust had a stronger relationship with seeking of both explicit and tacit knowledge than sincerity-based trust. Implications for future research and practice are discussed.


2013 ◽  
Vol 19 (1) ◽  
pp. 79-115 ◽  
Author(s):  
James B. Ang ◽  
Jakob B. Madsen

The ideas production function is at the heart of endogenous growth theory. Using data for Europe, its offshoots, and the Asian Tiger economies over the period from 1870 to 2010, this paper provides direct estimates of an ideas production function that explicitly distinguishes between the first- and second-generation endogenous growth models while allowing for human capital and international knowledge spillovers through various channels. The estimates show strong intertemporal and cross-country knowledge spillovers, provide robust support for Schumpeterian growth theory, and suggest that human capital and some channels of international knowledge spillover are influential for ideas production.


2014 ◽  
Vol 693 ◽  
pp. 123-128
Author(s):  
Alena Kopcekova ◽  
Michal Kopcek ◽  
Pavol Tanuska

The term business intelligence (BI) represents the tools and systems that play a key role in the strategic planning process of the corporation. These systems allow a company to gather, store, access and analyze corporate data to aid in decision-making. Necessary fundamental definitions are offered and explained to better understand the basic principles and the role of this technology for a company management. The proposed article is logically divided into more sections, where the stages of basic research in the field of data mining are described gradually. This involves the definition of the technology and the list of main advantages and analytical methods incorporated in online analytical processing. Also some typical applications of above mentioned particular methods are introduced. The focus of this paper is to introduce the options of using the data mining methods on the control systems level within the hierarchical control systems model.


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