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 Local rooting and creativity within the fashion industry in Beirut

2019 ◽  
Vol 14 (2) ◽  
pp. 92-109
Author(s):  
Tarek Ben Hassen ◽  
Diane-Gabrielle Tremblay
Keyword(s):  
Policy Implications ◽  
Fashion Design ◽  
Fashion Industry ◽  
Structured Interviews ◽  
Content Type ◽  
Current State ◽  
Governmental Intervention ◽  
Fashion Designers ◽  
International Success

Purpose The purpose of this paper is to analyze the factors that make Beirut a fashion hub by studying the characteristics of creativity and the role of the different stakeholders in setting an environment that encourages creativity in Beirut. Design/methodology/approach The methodology of this research is based on a literature review and information collected through semi-structured interviews with the different stakeholders of the sector. Findings The research reveals three results. First, this dynamic fashion design in Beirut is explained by the international success of some Lebanese fashion designers. Second, as there is an absence of any form of governmental intervention, the development of the sector is totally based on private business initiatives. Third, the research demonstrates the importance of the local culture, knowledge exchanges and lifestyle in shaping creativity and designers’ careers in Beirut. Originality/value These findings contribute to the clarification and critical analysis of the current state of fashion design in Beirut, which would have several policy implications.

The role of entrepreneurship education and training on creation of the knowledge economy

2017 ◽  
Vol 13 (4) ◽  
pp. 375-388 ◽  
Author(s):  
Yagoub Ali Gangi
Keyword(s):  
Knowledge Economy ◽  
Innovation System ◽  
Entrepreneurship Education ◽  
Education And Training ◽  
Content Type ◽  
Long Period ◽  
Knowledge Based ◽  
Knowledge Based Economy ◽  
Short Period ◽  
And Training

Purpose The purpose of this paper is to explore the experience of Qatar with entrepreneurship education and training, and its contribution in creating a knowledge-based economy. By doing so, the paper will contribute towards raising awareness about the state of entrepreneurship education, training and the knowledge economy in Qatar. Design/methodology/approach The research design for this paper is a descriptive and interpretive case study that is analysed through qualitative methods. Secondary information is analysed through descriptive statistics. Findings The main finding of this paper is that although Qatar has launched many initiatives of entrepreneurship education and training to help diversify its economy by creating knowledge-based economy, the data show that there is some improvement in Qatar’s ranking in the Knowledge Economy Index. Research limitations/implications The main limitation of this study is the unavailability of secondary data for a long period of time. Social implications The main policy implication that can be derived from the findings of this paper is that entrepreneurship education and training alone cannot create a diversified and knowledge-based economy in a short period of time. In fact building a knowledge economy requires more than introduction of entrepreneurship education and training. In addition to entrepreneurship education it requires improvement in the national innovation system, large investment in information and communication technology and a good macroeconomic performance. Moreover, the success of entrepreneurship education and training in fulfilling its objective requires a comprehensive strategy to be implemented over a long period of time. Originality/value The paper represents an original work that links entrepreneurship education and training with the knowledge economy. This is the first paper that handles this issue in the context of Gulf countries.

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.

Value co-creation in the B2B context: a diagnosis of knowledge management based on multiple case studies

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Andrei Bonamigo ◽  
Camila Guimarães Frech ◽  
Ana Carolina Custódio Lopes
Keyword(s):  
Empirical Studies ◽  
Structured Interviews ◽  
Content Type ◽  
Knowledge Based ◽  
Multiple Case ◽  
Multiple Case Studies ◽  
Knowledge Asymmetry ◽  
Business To Business ◽  
Practical Implications

Purpose This study aims to empirically investigate how organizations delivering services in business-to-business relations deal with the boundary paradox and knowledge asymmetry in value co-creation. Design/methodology/approach This study adopted a qualitative multiple case study strategy. Datas were gathered through 13 semi-structured interviews that were then analyzed through the content analysis. Findings The authors identified three mechanisms that organizations use to deal with the boundary paradox and two strategies to handle the knowledge asymmetry. Research limitations/implications First, no opportunities were afforded to involve more participants. Second, owning to confidentiality reasons, not all organizations provided us documents to be analyzed. Practical implications The findings guide managers in balancing the use of contracts and trust in inter-firm collaborations and fostering the learning of customers. Also, insights to protect knowledge based on the paradox of openness in value co-creation. Originality/value This study’s findings address the gap in value co-creation literature concerning the lack of empirical studies.

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.

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.

Mandatory audit firm rotation: a critical composition of practitioner views from an emerging economy

2020 ◽  
Vol 35 (7) ◽  
pp. 861-896
Author(s):  
Michael Harber ◽  
Warren Maroun
Keyword(s):  
Audit Committee ◽  
Audit Quality ◽  
Unintended Consequences ◽  
Policy Implications ◽  
Chief Financial Officers ◽  
Structured Interviews ◽  
Design Data ◽  
Content Type ◽  
Audit Firm ◽  
Mandatory Audit Firm Rotation

Purpose This study aims to address an acknowledged gap in the literature for the analysis of experienced practitioner views on the effects and implications of mandatory audit firm rotation (MAFR). Design/methodology/approach Using an exploratory and sequential design, data was collected from South African regulatory policy documents, organisational comment letters and semi-structured interviews of practitioners. These findings informed a field survey, administered to auditors, investors, chief financial officers (CFOs) and audit committee members of Johannesburg Stock Exchange (JSE) listed companies. Findings Practitioners expressed considerable pushback against the potential efficacy of MAFR to improve audit quality due to various “switching costs”, notably the loss of client-specific knowledge and expertise upon rotation. In addition, the cost and disruption to both the client and audit firm are considered significant and unnecessary, compared to audit partner rotation. The audit industry may suffer reduced profitability and increased strain on partners, leading to a decline in the appeal of the profession as a career of choice. This is likely to have negative implications for audit industry diversity objectives. Furthermore, the industry may become more supplier-concentrated amongst the Big 4 firms. Practical implications The findings have policy implications for regulators deciding whether to adopt the regulation, as well as guiding the design of policies and procedures to mitigate the negative effects of adoption. Originality/value The participants are experienced with diverse roles concerning the use, preparation and audit of financial statements of large exchange-listed multinational companies, as well as engagement in the auditor appointment process. The extant literature presents mixed results on the link between MAFR and audit quality, with most studies relying on archival and experimental designs. These have a limited ability to identify and critique the potential’s witching costs and unintended consequences of the regulation. Experienced participants responsible for decision-making within the audit, audit oversight and auditor appointment process, are best suited to provide perspective on these effects, contrasted against the audit regulator’s position.

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