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The knowledge economy, or knowledge-based economy, is an economic system in which the production of goods and services is based principally on knowledge-intensive activities that contribute to advancement in technical and scientific innovation. The key element of value is the greater dependence on human capital and intellectual property as the source of innovative ideas, information, and practices. Organisations are required to capitalise on this "knowledge" in their production to stimulate and deepen the business development process. There is less reliance on physical input and natural resources. A knowledge-based economy relies on the crucial role of intangible assets within the organisations' settings in facilitating modern economic growth.

Overview

Description

A knowledge economy features a highly skilled workforce within the microeconomic and macroeconomic environment; institutions and industries create jobs that demand specialized skills to meet the needs of the global market. Knowledge is viewed as an additional input to labour, and capital. In principle, one's primary individual capital is knowledge together with the ability to perform to create economic value.

In a knowledge economy, highly skilled jobs require excellent technical skills and relational skills such as problem-solving, the flexibility to interface with multiple discipline areas as well as the ability to adapt to changes as opposed to moving or crafting physical objects in conventional manufacturing-based economies. A knowledge economy stands in contrast to an agrarian economy, in which the primary economic activity is subsistence farming for which the main requirement is manual labour or an industrialized economy that features mass production in which most of the workers are relatively unskilled.

A knowledge economy emphasizes the importance of skills in a service economy, the third phase of economic development also called a post-industrial economy. It is related to an information economy, which emphasizes the importance of information as non-physical capital, and a digital economy, which emphasizes the degree to which information technology facilitates trade. For companies, intellectual property such as trade secrets, copyrighted material, and patented processes become more valuable in a knowledge economy than in earlier eras.

The global economy's transition to a knowledge economy is also referred to as the Information Age, bringing about an information society. The term knowledge economy was made famous by Peter Drucker as the title of Chapter 12 in his book The Age of Discontinuity (1969), which Drucker attributed to economist Fritz Machlup, originating in the idea of scientific management developed by Frederick Winslow Taylor.

Knowledge-based economy and human capital

In a knowledge economy, human intelligence is the key engine of economic development. It is an economy where members acquire, create, disseminate and apply knowledge to facilitate economic and social development.

An economic system that is not knowledge-based is considered to be inconceivable. It describes the process of consumption and production activities that are satisfied from the application of workers' expertise - intellectual capital and typically represents a significant level of individual economic activities in modern developed economies through building an interconnected and advanced global economy where sources of knowledge are the critical contributors.

The present concept of "knowledge" originates from the historical and philosophical studies by Gilbert Ryle and Israel Scheffler, who conducted knowledge to the terms "procedural knowledge" and "conceptual Knowledge" and identified two types of skills: "routine competencies or facilities" and "critical skills" that is intelligent performance; and it's further elaborated by Lundvall and Johnson who defined "knowledge" as falling in four broad categories:

  • Know-what refers to knowledge about facts. Like information, experts utilize know-what to fulfill their jobs, such as with complex occupations such as law and medicine.
  • Know-why refers to scientific knowledge of principles and laws of motion in nature. It concerns the theoretical research of scientific and technological fields, which is essential for allowing innovation in the production process and products development in areas such as universities and specialized firms. It can also reduce error frequency in trial and error procedures.
  • Know-who refers to knowledge of specific and selective social relations, identifying the key persons who know the solutions and can perform under difficult scenarios. Finding the right people can be more essential to innovation than simply knowing basic scientific knowledge.
  • Know-how refers to practical skills which allow individuals to do different kinds of things. Individuals share experiences in groups with uniform practices. It constitutes the human capital of enterprises.

The World Bank has spoken of knowledge economies by associating it with a four-pillar framework that analyses the rationales of human capital-based economies:

  • An educated and skilled labour force is required to establish a strong knowledge-based economy where workers continuously learn and apply their skills to build and practice knowledge efficiently.
  • A dense and modern information infrastructure provides easy access to information and communication technology (ICT) resources to overcome the barrier of high transaction costs and to facilitate the effectiveness in interacting, disseminating and processing the information and knowledge resources.
  • An effective innovation system is needed to support a great level of innovation within firms, industries, and countries, allowing them to keep up with the latest global technology and human intelligence to utilize it for the domestic economy.
  • Institutional regime that supports incentives for entrepreneurship and the use of knowledge suggests that an economic system should offer incentives for better efficiency in mobilizing and allocating resources and encourage entrepreneurship.

The advancement of a knowledge-based economy occurred when global economies promote changes in material production, together with the creation of rich mechanisms of economic theories after the Second World War that tend to integrate science, technology and the economy.

Peter Drucker discussed the knowledge economy in the book The Effective Executive 1966, where he described the difference between the manual workers and the knowledge workers. The manual worker is the one who works with their own hands and produces goods and services. In contrast, the knowledge worker works with their head rather than hands and produces ideas, knowledge, and information.

Information versus knowledge

Definitions around "knowledge" are considered to be vague in terms of the formalization and modeling of a knowledge economy, as it is rather a relative concept. For example, there is no sufficient evidence and consideration for whether the "information society" could serve or act as the "knowledge society" interchangeably. Information in general, is not equivalent to knowledge. Their use depends on the individual and group's preferences which are "economy-dependent". Information and knowledge together are production resources that can exist without interacting with other sources. Resources are highly independent of each other in the sense that if they connect with other available resources, they transfer into factors of production immediately, and production factors are present only to interact with other factors. Knowledge associated with intellectual information then is said to be a production factor in the new economy that is distinguished from traditional production factors.

Evolution

From the early days of economic studies, though economists recognised the essential link between knowledge and economic growth, knowledge was still identified only as a supplemental element in economic factors. The idea behind it has transformed recently when new growth theory praised knowledge and technology in enhancing productivity and economic advancement.

Overview

The developed society has transitioned from an agriculture-based economy, that is, the pre-industrial age where economy and wealth were primarily based upon agriculture, to an industrial economy where the manufacturing sector was booming. In the mid-1900s, world economies moved towards a post-industrial or mass production system, where they were driven by the service sector that creates greater wealth versus manufacturing; to the late 1900s - 2000s, knowledge economy emerged with the highlights of the power of knowledge and human capital sector, and it's now marked as the latest stage of development in global economic restructuring. In the final decades of 20th century, the knowledge economy became greatly associated with sectors based in research-intensive and high-technology industries as a result of the steadily increased demand for sophisticated science-based innovations. The knowledge economy operates differently from the past as it has been identified by the upheavals (sometimes referred to as the knowledge revolution) in technological innovations and the globally competitive need for differentiation with new goods and services, and processes that develop from the research community (i.e., R&D factors, universities, labs, educational institutes). Thomas A. Stewart points out that just as the Industrial Revolution did not end agriculture because people have to eat, the Knowledge Revolution is unlikely to end manufacturing industries because of ongoing societal demands for physical goods and services.

For the modern knowledge economies, especially in developed countries, information, and knowledge have always taken on enormous importance in the development of either traditional or industrial economies, particularly with the efficient use of factors of production. Owners of production factors should possess and master information and knowledge so as to apply them to economic activity. In the knowledge economy, the specialised labor force is characterised as computer literate and well-trained in handling data, developing algorithms and simulated models, and innovating on processes and systems. Harvard Business School Professor Michael Porter asserts that today's economy is far more dynamic and that the conventional notion of comparative advantages within a company has changed and is less relevant than the prevailing idea of competitive advantages which rests on "making more productive use of inputs, which requires continual innovation". Therefore, the technical STEM careers, including computer scientists, engineers, chemists, biologists, mathematicians, and scientific inventors will continue to see demand. Porter further argues that well-situated clusters (that is, geographic concentrations of interconnected companies and institutions in a particular field) are vital with global economies, connect locally and globally with linked industries, manufacturers, and other entities that are related by skills, technologies, and other common inputs. Knowledge is the catalyst and connective tissue in modern economies. Ruggles and Holtshouse argue the change is characterised by a dispersion of power and by managers who lead by empowering knowledge workers to contribute and make decisions.

Green infrastructure

With Earth's depleting natural resources, the need for green infrastructure, a logistics industry forced into just-in-time deliveries, growing global demand, regulatory policy governed by performance results, and a host of other items place a high priority on knowledge, and research becomes paramount. Knowledge provides the technical expertise, problem-solving, performance measurement and evaluation, and data management needed for today's competition's transboundary, interdisciplinary global scale.

Prevailing and future economic development

Prevailing and future economic development will be highly dominated by technology and network expansion, in particular on knowledge-based social entrepreneurship and entrepreneurship as a whole. The knowledge economy is incorporating the network economy, where the relatively localised knowledge is now being shared among and across various networks for the benefit of all network members, to gain economies of scale in a wider, more open scale.

Globalisation

The rapid globalisation of economic activities is one of the main determinants of the emerging knowledge economy. While there are no doubts on the other stages of relative openness in the global economy, the prevailing pace and intensity of globalisation are without precedent. Fundamental microeconomic forces are the significant drivers of globalizing economic activities and further demands for human intelligence. These forces include the rapid integration of the world's financial and capital markets since the early 1980s, which influences essentially each level of the developed country's financial and economic systems; increased multinational origin of the inputs to productions of both goods and services, technology transfers and information flow.

Examples of knowledge economies

Worldwide examples congregate around regions or cities with high concentrations of talented human capital and are often accompanied with High tech-oriented companies as well as innovation hubs. The knowledge economic hubs include information technology in Silicon Valley, United States; water and agricultural technology in Silicon Wadi, Israel; aerospace and automotive engineering in Munich, Germany; biotechnology in Hyderabad, India; electronics and digital media in Seoul, South Korea; petrochemical and the renewable energy industry in Brazil. Many other cities and regions try to follow a knowledge-driven development paradigm and increase their knowledge base by investing in higher education and research institutions to attract highly skilled labour and better position themselves in the global competition. Yet, despite digital tools democratising access to knowledge, research shows that knowledge economy activities remain as concentrated as ever in traditional economic cores.

  • Yair Agricultural Research and Development Station, Israel Yair Agricultural Research and Development Station, Israel
  • San Francisco, California, USA. The city is a central city in Silicon Valley. San Francisco, California, USA. The city is a central city in Silicon Valley.
  • Munich, Germany Munich, Germany
  • Hyderabad Hyderabad

Technology

The technology requirements for a national innovation system, as described by the World Bank Institute, must be able to disseminate a unified process by which a working method may converge scientific and technology solutions and organizational solutions. According to the World Bank Institute's definition, such innovation would further enable the World Bank Institute's vision outlined in its Millennium Development Goals.

Challenges for developing countries

The United Nations Commission on Science and Technology for Development report (UNCSTD, 1997) concluded that for developing countries to integrate ICTs successfully and sustainable development to participate in the knowledge economy, they need to intervene collectively and strategically. Suggested collective intervention includes the development of effective national ICT policies that support the new regulatory framework, promote the selected knowledge production, and use of ICTs and harness their organizational changes to be in line with the Millennium Development Goals. The report further suggests that developing countries develop the required ICT strategies and policies for institutions and regulations, considering the need to be responsive to the issues of convergence.

See also

Notes

  1. ^ Powell, Walter W.; Snellman, Kaisa (2004). "The Knowledge Economy". Annual Review of Sociology. 30 (1): 199–220. doi:10.1146/annurev.soc.29.010202.100037.
  2. ^ World, Bank (2007). Building Knowledge Economies: Advanced Strategies for Development. H Street, NW,Washington, DC: World Bank Publications. pp. 4–12. ISBN 9780821369579.
  3. ^ Kwon, Dae-Bong (27–30 Oct 2009). Human capital and its measurement (PDF). The 3rd OECD World Forum on "Statistics, Knowledge and Policy": Charting Progress, Building Visions, Improving Life. OECD. pp. 1–15.
  4. Commission, European (2005). Conference on knowledge economy - Challenges for Measurement. Luxembourg: Office for Official Publications of the European Communities: Eurostat. pp. 9–13. ISBN 92-79-02207-5.
  5. Dusi, Paola; Messetti, Giuseppina; Steinbach, Marilyn (2014). "Skills, Attitudes, Relational Abilities & Reflexivity: Competences for a Multicultural Society". Procedia - Social and Behavioral Sciences. 112: 538–547. doi:10.1016/j.sbspro.2014.01.1200. ISSN 1877-0428.
  6. Harpan, Ioana; Draghici, Anca (20 Mar 2014). "Debate on the Multilevel Model of the Human Capital Measurement". Procedia - Social and Behavioral Sciences. 124: 170–177. doi:10.1016/j.sbspro.2014.02.474.
  7. Kofler, Ingrid; Innerhofer, Elisa; Marcher, Anja; Gruber, Mirjam; Pechlaner, Harald (2020). The Future of High-Skilled Workers: Regional Problems and Global Challenges. Cham, Switzerland: Springer Verlag. pp. 29–41. ISBN 9783030428709.
  8. Johnson, D. Gale (16 Jan 2019). "Agricultural economics". Encycloaedia Britannica, Inc. Retrieved 16 Oct 2020.
  9. Wokutch, Richard E. (12 Feb 2014). "Newly industrialized country". Encycloaedia Britannica. Retrieved 16 Oct 2020.
  10. ^ Houghton, John; Sheehan, Peter (2000). A Primer on the Knowledge Economy (PDF). Melbourne City: Centre for Strategic Economic Studies, Victoria University of Technology.
  11. Stehr, Nico; Mast, Jason L. (2012). "Knowledge Economy". Handbook on the Knowledge Economy, Volume Two. doi:10.4337/9781781005132.00009. ISBN 9781781005132.
  12. Foundations of the knowledge economy: innovation, learning, and clusters. Westeren, Knut Ingar. Cheltenham, UK: Edward Elgar. 2012. ISBN 978-0-85793-771-1. OCLC 758983832.{{cite book}}: CS1 maint: others (link)
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  17. Rothboeck, Sandra (2000). "Human Resources and Work Organization in the Knowledge Economy – The Case of the Indian Software Industry" (PDF). {{cite journal}}: Cite journal requires |journal= (help)
  18. Blomström, Magnus; Kokko, Ari; Sjöholm, Fredrik (2002). "Growth & Innovation Policies For a Knowledge Economy. Experiences From Finland, Sweden & Singapore" (PDF). Working Paper 156. Archived from the original (PDF) on 2014-12-22.
  19. Djeflat, Pr. Abdelkader (2009). "Building Knowledge Economies for job creation, increased competitiveness, and balanced development" (PDF). Worldbank Draft.
  20. Antràs, Pol; Garicano, Luis; Rossi-Hansberg, Esteban (2006). "Offshoring in a Knowledge Economy" (PDF). Quarterly Journal of Economics. 121 (1): 31–77. doi:10.1093/qje/121.1.31.
  21. Dutta, Soumitra, ed. (2012). "The Global Innovation Index 2012: Stronger Innovation Linkages for Global Growth" (PDF). INSEAD. Archived from the original (PDF) on 2013-04-18. {{cite journal}}: Cite journal requires |journal= (help)
  22. ^ Drucker, Peter (1969). The Age of Discontinuity; Guidelines to Our Changing Society. New York: Harper and Row.
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  27. Ryle, Gilbert (1949). The concept of mind. London: Abingdon : Routledge. p. 92. ISBN 9780415485470.
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  33. ^ Kabir, Mitt Nowshade (22 February 2019). Knowledge-based social entrepreneurship : understanding knowledge economy, innovation, and the future of social entrepreneurship. New York, NY. ISBN 978-1-137-34809-8. OCLC 1089007311.{{cite book}}: CS1 maint: location missing publisher (link)
  34. ^ Unger, Roberto Mangabeira (19 March 2019). The knowledge economy. London. ISBN 978-1-78873-497-4. OCLC 1050279840.{{cite book}}: CS1 maint: location missing publisher (link)
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  46. Tho, Q.T.; Hui, S.C.; Fong, A.C.M.; Tru Hoang Cao (2006). "Automatic Fuzzy Ontology Generation for Semantic Web". IEEE Transactions on Knowledge and Data Engineering. 18 (6): 842–856. doi:10.1109/TKDE.2006.87. S2CID 17557226.
  47. UNCSTD (1997). United Nations Commission on Science and Technology for Development. 12 May, Geneva, Switzerland. {{cite book}}: |work= ignored (help)CS1 maint: location (link) CS1 maint: location missing publisher (link)

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