Government-driven university-industry linkages in an emerging country: the case of China

2015 ◽  
Vol 6 (3) ◽  
pp. 263-282 ◽  
Author(s):  
Dejin Su ◽  
Dayong Zhou ◽  
Chunlin Liu ◽  
Lanlan Kong
Keyword(s):  
Economic Growth ◽  
Technological Progress ◽  
Transition Period ◽  
Critical Role ◽  
Content Type ◽  
Knowledge Based ◽  
Industrial Sectors ◽  
Knowledge Based Economy ◽  
University Industry ◽  
University Industry Linkages

Purpose – The purpose of this paper is to analyze and summarize the development of science and technology (S & T) policies in China from a government-driven perspective in chronological order. To develop knowledge-based economy, China enacts a range of S & T policies since “Reform and Open Policy” started in 1978. Furthermore, it investigates the overall effects of these S & T policies on university-industry linkages (UILs). Design/methodology/approach – This paper conducts an analysis framework of S & T policies in historical sequence to explain how government drives UILs to stimulate technological progress and economic growth in China. Findings – More than a site for high-quality workforce education and knowledge spread, universities as an important part of national innovation are required to participate in economic activities. Considering that most Chinese universities are national, S & T policies with particular regard to university technology transfer would be more important and essential. This research finds that S & T policies enacted by government have made critical contributions to UILs in economic transition period, such as improving academic faculty, enhancing university–industry collaborations and supporting university spin-off formation. The experiences of China suggest that government should enact more effective S & T policies in the knowledge-based economy era. Practical implications – First, universities need to educate high-level human resources that are important for economic growth and social development. Second, universities need to engage in R & D activities and enhance their collaboration with industries, such as consulting services, research contracts with industry, patent licensing and other general knowledge commercial mechanisms. Third, universities also can directly transfer commercial knowledge to start up new businesses by itself or in partnership with industrial sectors. Without doubt, a series of S & T policies or programs enacted by China’s government to drive entrepreneurship continuously played critical role in the UILs over the past 26 years. Originality/value – This paper is a pioneering work on how S & T policies enacted by government drive UILs to stimulate technological progress in transitional China.

Building a knowledge-based economy in the Muslim world

2012 ◽  
Vol 9 (2) ◽  
pp. 76-98 ◽  
Author(s):  
Allam Ahmed ◽  
Amer Al-Roubaie
Keyword(s):  
Critical Role ◽  
Innovation System ◽  
Secondary Data ◽  
Muslim World ◽  
Content Type ◽  
Technological Learning ◽  
Knowledge Based ◽  
Muslim Countries ◽  
Knowledge Based Economy ◽  
The Subject

Purpose – The purpose of this paper is to highlight the importance of innovation and technological learning in building a knowledge-based economy in the Muslim world. Despite abundant financial and human capital, most Muslim countries still lack adequate scientific and technological infrastructure to absorb, apply and create knowledge and disseminate information. Design/methodology/approach – Using various major international institutions’ databases (UN, World Bank, OCED, etc.), a holistic approach is used to analyse the critical role of science, technology and innovation to build a knowledge-based economy in Muslim countries. Findings – This paper examines the main challenges facing Muslim countries to build a knowledge-based economy driven by innovation and technological learning. In doing so, a framework for building an effective innovation system that will achieve a knowledge-based economy in Muslim countries is presented, taking into account a variety of international, institutional and intellectual perspectives. Originality/value – Given the scarcity of information and data about the subject area on Muslim countries, the study uses several sources of secondary data which are considered the most valid and reliable data available internationally about the subject.

The relationship between knowledge-based economy and fraudulent financial reporting

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Abbas Koolivand ◽  
Mahdi Salehi ◽  
Meysam Arabzadeh ◽  
Hassan Ghodrati
Keyword(s):  
Financial Markets ◽  
Financial Reporting ◽  
Fixed Effects ◽  
Stock Exchange ◽  
Fraudulent Financial Reporting ◽  
Content Type ◽  
Knowledge Based ◽  
Robust Testing ◽  
Knowledge Based Economy ◽  
The Relationship

Purpose This paper aims to assess the relationship between a knowledge-based economy and fraudulent financial reporting. Design/methodology/approach The study is descriptive-correlation based on published information from enlisted firms on the Tehran Stock Exchange during 2013–2019 with a sample of 178 firms (1,246 observations). The method used for hypothesis testing is linear regression using the panel data. Findings The results show that a knowledge-based economy is associated negatively and significantly with financial reporting. Moreover, robust testing has also examined the hypotheses (including fixed effects, OLS and t + 1) that confirmed the study’s preliminary results. Originality/value As the study was carried out in the emergent financial markets, like Iran, to figure out the relationship between knowledge-based economy and financial reporting, it can provide helpful information for the practitioners in this field.

A gene expression programming model for economy growth using knowledge-based economy indicators

2019 ◽  
Vol 14 (1) ◽  
pp. 31-48 ◽  
Author(s):  
Mohsen Ahmadi ◽  
Rahim Taghizadeh
Keyword(s):  
Gene Expression ◽  
Fitness Function ◽  
Gene Expression Programming ◽  
Information Criteria ◽  
Bounds Testing ◽  
Content Type ◽  
Economy Growth ◽  
Knowledge Based ◽  
Knowledge Based Economy ◽  
Ardl Bounds Testing

Purpose The purpose of this paper is to focus on modeling economy growth with indicators of knowledge-based economy (KBE) introduced by World Bank for a case study in Iran during 1993-2013. Design/methodology/approach First, for grouping and reducing the number of variables, Tukey method and the principal component analysis are used. Also for modeling, 67 per cent of data is used for training in the two approaches of ARDL bounds testing and gene expression programming (GEP) and 33 per cent of them for testing the models. Then, the result models are compared with fitness function and Akaike information criteria (AIC). Findings The GEP model with fitness 945.7461 for training data and 954.8403 for testing data from 1000 is better than ARDL bounds testing model with fitness 335.5479 from 1000. In addition, according to model comparison tools (AIC), the GEP model has an extremely larger weight in comparison with ARDL bounds model. Therefore, the GEP model is introduced for future use in academia. Practical implications Knowledge and information is one of the most basic sources of wealth in economists’ sight. Thus, using KBE indicators appears essential in economic growth regarding daily progress in knowledge processes and its different theories. It is also extremely important to determine an appropriate model for KBE indicators which play a highly important role in the allocation of the economic resources of the country in an optimal manner. Originality/value This paper introduced a novel expression for economy growth using KBE indicators. All the data and the indicators are extracted from Word Bank service between 1993 and 2013.

Internet plus policy

2017 ◽  
Vol 8 (3) ◽  
pp. 375-386 ◽  
Author(s):  
Kalin Hristov
Keyword(s):  
Dynamic Capabilities ◽  
Cost Effective ◽  
Chinese Economy ◽  
Policy Recommendations ◽  
Content Type ◽  
Knowledge Based ◽  
Course Of Action ◽  
Knowledge Based Economy ◽  
Start Up ◽  
Cooperative Relationship

Purpose The purpose of this paper is to analyze and determine the best course of action for policymakers in China when dealing with the implementation of best practices for the internet of things (IoT). The recently introduced Internet Plus strategy is an attempt by Chinese policymakers to boost the Chinese economy by diminishing its reliance on manufacturing and export in favor of a knowledge-based economy driven by services and the tech sector. The IoT is arguably one of the key drivers behind this transformation. Design/methodology/approach This paper conducts an analysis of existing literature on the IoT and uses two complimentary theories, resource-based view and dynamic capabilities theory, to determine a set of policy recommendations. Findings A cooperative relationship between policymakers, start-up firms and academia is essential to the success of the IoT. The artificial intelligence industry also plays a key role in the development of the IoT and requires strategic funding and favorable policy. Finally, established and cost-effective standards and practices are much more likely to be effective than new and costly alternatives. Originality/value This paper examines the newly established field of the IoT and sets out a number of policy recommendations needed for its success. To achieve this, the author uses two complimentary theories unique to the business management field but increasingly compatible with the Chinese public policy sector.

scholarly journals IMPORTANCE OF PATENT AND INNOVATION IN EDUCATIONAL INSTITUTIONS

2015 ◽  
Vol 3 ◽  
pp. 271-275 ◽  
Author(s):  
Mario Al Kassiri ◽  
Tatiana Čorejová
Keyword(s):  
Economic Growth ◽  
Educational Institutions ◽  
Foreign Investors ◽  
Knowledge Based ◽  
Knowledge Based Economy ◽  
Innovation Projects ◽  
Start Ups

This articles discusses the importance of converting knowledge into realizable output, which can subsequently be patented. Patenting, in itself, is already the result of a completed and difficult process. The importance of patenting is not only advantageous for the author patent, but also for the whole society and knowledge-based economy. In this article, we explain not only the effect of patenting on the economy as a whole, along with its advantages, but also possible acceleration in process of patenting. Universities rely on the important aspect of innovation and patenting, whereas innovation and patenting alone support the economic growth. Lack of projects covering patenting process may cause less outputs of innovation. Projects which support the development of innovation and start-ups have big potential in reducing unemployment and increasing the motivation of new foreign investors.

The state of the knowledge-based economy in the Arab world: cases of Qatar and Lebanon

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Tarek Ben Hassen
Keyword(s):  
Arab World ◽  
Innovation System ◽  
Policy Implications ◽  
Structured Interviews ◽  
Content Type ◽  
Knowledge Based ◽  
Current State ◽  
Knowledge Based Economy ◽  
Low Performance ◽  
Ict Infrastructure

PurposeThe purpose of this paper is to examine the current state of the knowledge-based economy in two distinctive case studies in the Arab World: Qatar and Lebanon. Based on five aspects of the knowledge-based economy namely: ICT, human capital and education; innovation, entrepreneurship, and economic and institutional regime, we provide a careful view of the obstacles and challenges that Qatar and Lebanon are facing and how this is hindering their transformation to a knowledge-based economy.Design/methodology/approachThe methodology of this research is based on a literature review and information collected through semi-structured interviews with the different stakeholders of the knowledge-based economy in Qatar and Lebanon.FindingsThe research reveals that numerous factors shape the knowledge-based economy in Qatar and Lebanon. In Qatar, the main strength of the knowledge-based economy is the determination of the Qatari government to diversify the economy and the main weaknesses are the shortage of qualified human resources, the fear of failure and the low performance of the innovation system. In Lebanon, the knowledge-based economy is driven by the education system and the entrepreneurship culture, nevertheless the political instability of the country and the weak ICT infrastructure impede its development.Originality/valueThese findings contribute to the clarification and critical analysis of the current state of the knowledge-based economy in Qatar and Lebanon, which would have several policy implications.

Optimization of knowledge transferring costs in designing product portfolio: a fuzzy binary linear programming model

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Nahid Dorostkar-Ahmadi ◽  
Mohsen Shafiei Nikabadi ◽  
Saman babaie-kafaki
Keyword(s):  
Linear Programming ◽  
Programming Model ◽  
Fuzzy Model ◽  
Linear Programming Model ◽  
Product Portfolio ◽  
Ranking Functions ◽  
Content Type ◽  
Binary Linear Programming ◽  
Knowledge Based ◽  
Knowledge Based Economy

Purpose The success of any organization in a knowledge-based economy depends on effective knowledge transferring and then proper use of the transferred knowledge. As is known, optimizing the knowledge transferring costs in a product portfolio plays an important role in improving productivity, competitive advantage and profitability of any organization. Therefore, this paper aims to determine an optimal product portfolio by minimizing the konlwedge transferring costs. Design/methodology/approach Here, a fuzzy binary linear programming model is used to select an optimal product portfolio. The model is capable of considering the knowledge transferring costs while taking into account the human-hours constraints for each product by a fuzzy approach. Using fuzzy ranking functions, a reasonable solution of the model can be achieved by classical or metaheuristic algorithms. Findings Numerical experiments indicate that the proposed fuzzy model is practically effective. Originality/value The contributions of this work essentially consist of considering knowledge transferring costs in selecting an optimal product portfolio and using the fuzzy data which make the model more realistic.

Increasing team performance in a knowledge-based economy

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Keyword(s):  
Emotional Intelligence ◽  
Team Performance ◽  
World Knowledge ◽  
Business World ◽  
Content Type ◽  
Organizational Goals ◽  
Knowledge Based ◽  
Team Working ◽  
Knowledge Based Economy ◽  
And Control

Purpose This paper aims to review the latest management developments across the globe and pinpoint practical implications from cutting-edge research and case studies. Design/methodology/approach This briefing is prepared by an independent writer who adds their own impartial comments and places the articles in context. Findings In a competitive business world, knowledge has become an invaluable asset. The transfer and creation of knowledge between employees is essential for improving team performance and achieving organizational goals. An important contributing factor for knowledge sharing is emotional intelligence; the ability to identify, manage and control emotions in oneself and in others. This leads to increased positive relationships and decreased team conflict. Increased emotional intelligence leads to increased collaboration and sharing of knowledge. Team working is more successful, leading to increased team performance. Originality/value The briefing saves busy executives and researchers hours of reading time by selecting only the very best, most pertinent information and presenting it in a condensed and easy-to-digest format.

scholarly journals Academic research in emerging knowledge-based economies

2018 ◽  
Vol 8 (4) ◽  
pp. 415-428 ◽  
Author(s):  
Chandanie Hadiwattege ◽  
Sepani Senaratne ◽  
Yasangika Sandanayake ◽  
Nirodha Gayani Fernando
Keyword(s):  
Construction Industry ◽  
Qualitative Interviews ◽  
Academic Research ◽  
Knowledge Dissemination ◽  
Sri Lankan ◽  
Content Type ◽  
Knowledge Based ◽  
Research Collaborations ◽  
Knowledge Based Economy

Purpose Knowledge-based economies are popular in the present world. Simultaneously, universities are becoming more responsible for leading economic development through research. As a key contributor to the national economy, it is vital for the construction industry to move beyond outdated practices, and hence, reviewing the role of academic research in empowering the construction industry with knowledge is essential. The purpose of this paper is to focus on how relevant theories conceptualise the expected role of academic research in the innovative development of an industry and the specific location in the Sri Lankan construction industry. Design/methodology/approach Following a comprehensive literature review, empirical data were collected from the Sri Lankan context with a mixed approach informed by a pragmatist philosophical stance. The perspective of academia and industry practitioners were deductively obtained through surveys and inductively explored through qualitative interviews. Findings This study provides evidence that academic research in Sri Lanka does not contribute effectively to innovative construction management. Due to the absence of industry-focussed knowledge dissemination strategies, the academic–industry relationships are mostly non-research based. The industry lacks in research-informed-decision making, leading to lesser innovations. Research limitations/implications The research conclusions are more applicable to the developing country construction industry contexts. Practical implications The research urges the need for improved academic–industry research collaborations and strategic knowledge dissemination movements. Originality/value The research confirms that academic research is a major integral part of the developing construction industry in a knowledge-based economy. In establishing the expected role of academic research, the research revealed the current practice to be under-located. Hence, the research prescribes the necessary actions; research collaborations in major and subsequent requirements.

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