Nuclear cooperation will bolster South Korea-Gulf ties

2015 ◽  
Keyword(s):  
Saudi Arabia ◽  
South Korea ◽  
United Arab Emirates ◽  
Energy Demand ◽  
Nuclear Power ◽  
Youth Unemployment ◽  
Content Type ◽  
Knowledge Based ◽  
Gulf Countries ◽  
Knowledge Based Economy

Subject South Korea-Gulf ties. Significance As Saudi Arabia and the United Arab Emirates seek to reduce their economic dependence on oil, they have been deepening their ties with South Korea. Saudi Arabia and the United Arab Emirates (UAE) view South Korea as a development model because of its swift and successful transition to a knowledge-based economy. For its part, Seoul believes that developing ties with Gulf countries will enhance its energy security and boost trade flows. Impacts Increased renewables capacity will help meet the Gulf's rising domestic energy demand that threatens to erode its capacity to export oil. South Korean technology transfer and expertise should stimulate job creation in downstream industries, and help reduce youth unemployment. Construction of nuclear plants in the Gulf will establish South Korea as a credible exporter of nuclear power technology.

Turkey's rift with Saudi Arabia will not end soon

2018 ◽  
Keyword(s):  
Saudi Arabia ◽  
Middle East ◽  
United Arab Emirates ◽  
Joint Ventures ◽  
The Other ◽  
Content Type ◽  
Gulf Countries ◽  
Political Differences

Significance The two-day visit has not averted the growing confrontation between Turkey on one hand and the Saudis and the United Arab Emirates (UAE) on the other. This is forming a new and important cleavage in the politics of the Middle East. Impacts Turkish exports to the Gulf countries look vulnerable. Turkey will avoid allowing its political differences with Saudi Arabia to affect business links. Saudi investments in Turkey, at about 6 billion dollars, will be a stabilising factor. Joint ventures in the arms industry could be the main casualties.

India’s Gulf ties will face setbacks in the near term

2020 ◽  
Keyword(s):  
Saudi Arabia ◽  
Middle East ◽  
United Arab Emirates ◽  
Migrant Workers ◽  
Oil Prices ◽  
South East Asia ◽  
Content Type ◽  
Gcc Countries ◽  
Gulf Countries ◽  
Near Term

Significance Indian nationals are struggling to maintain jobs in the Middle East as GCC states contend with historically low oil prices as well as the economic fallout of the pandemic. Gulf countries have meanwhile expressed concern at what they regard as growing anti-Muslim sentiment in India. Impacts Pakistan will step up efforts to gather support from GCC countries regarding the Kashmir issue. Saudi Arabia and the United Arab Emirates will increase investment in India’s health and tech sectors. The number of Indian migrant workers in South-east Asia, Australia and Canada will gradually increase.

Western universities may become wary of Gulf invites

2020 ◽  
Keyword(s):  
United Arab Emirates ◽  
Work Experience ◽  
Youth Unemployment ◽  
Research Partnerships ◽  
Content Type ◽  
Security Applications ◽  
Gulf Countries ◽  
Gulf States ◽  
The Impact ◽  
Foreign Universities

Subject Foreign universities in Gulf states. Significance Saudi Arabia is set to follow Qatar and the United Arab Emirates (UAE) in allowing foreign academic institutions to establish campuses. This is part of ongoing efforts by Gulf countries to overhaul their education systems and strengthen the research base in order to open up new economic opportunities. Impacts Universities researching artificial intelligence, biotechnology and medical technologies will be especially courted. Foreign universities could help address youth unemployment by linking to industries with apprenticeship and work experience programmes. The Gulf may offer new opportunities for UK universities struggling with the economic costs of Brexit. The impact of better universities will be limited unless primary and secondary education can be improved. Research partnerships with Gulf countries in areas with potential security applications could run into controversy.

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.

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.

scholarly journals Knowledge Management Practice in Private Sector: Building the Way for Saudi Arabia Strategic Growth and Transformation To Knowledge-Based Economy

2018 ◽  
Vol 7 (2.34) ◽  
pp. 69
Author(s):  
Abdulrahman Gharamah ◽  
Mohamad Fauzan Noordin ◽  
Najma Imtiaz Ali ◽  
Imtiaz Ali Brohi
Keyword(s):  
Saudi Arabia ◽  
Knowledge Management ◽  
Private Sector ◽  
Global Economy ◽  
Management Practice ◽  
Growth Strategy ◽  
Added Value ◽  
Knowledge Based ◽  
Knowledge Based Economy ◽  
Major Player

The Kingdome of Saudi Arabia (KSA) and its growth objective is to be a major player in the global economy and moving toward a knowledge-based economy. To achieve its objectives, the private sector in various fields in KSA needs to be in line with country’s ambitious goal; Knowledge Management (KM) handling and readiness for the foreseen customer demand need to be in line with goals. This study presents a critical review to evaluate existing KM practice in the private sector in Kingdom of Saudi Arabia (KSA) to see the readiness of this sector to play an integral role of knowledge-based economy and support nation’s growth strategy.  The paper will examine current states in term of how knowledge management is practiced in the country.  This paper addressed various aspects of knowledge management ranges from the need of implementing knowledge management systems to the added value by deploying such systems. In addition, the review was discuss if the private sector is heading in the right direction, and coherent with KSA strategic goal by examining a sample of four major firms in private sector. The outcome of the sample reflected that the private sector is harmonized with KSA objective. 

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.

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