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on Knowledge Management and Knowledge Economy |
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Issue of 2024‒04‒22
four papers chosen by Laura Nicola-Gavrila, Centrul European de Studii Manageriale în Administrarea Afacerilor |
| By: | Drydakis, Nick |
| Abstract: | There is limited research assessing how AI knowledge affects employment prospects. The present study defines the term 'AI capital' as a vector of knowledge, skills and capabilities related to AI technologies, which could boost individuals' productivity, employment and earnings. Subsequently, the study reports the outcomes of a genuine correspondence test in England. It was found that university graduates with AI capital, obtained through an AI business module, experienced more invitations for job interviews than graduates without AI capital. Moreover, graduates with AI capital were invited to interviews for jobs that offered higher wages than those without AI capital. Furthermore, it was found that large firms exhibited a preference for job applicants with AI capital, resulting in increased interview invitations and opportunities for higher-paying positions. The outcomes hold for both men and women. The study concludes that AI capital might be rewarded in terms of employment prospects, especially in large firms. |
| Keywords: | Artificial Intelligence, Artificial Intelligence Capital, Employment, Wages, Higher Education, Education |
| JEL: | E24 I26 O14 |
| Date: | 2024 |
| URL: | http://d.repec.org/n?u=RePEc:zbw:glodps:1408&r=knm |
| By: | Leogrande, Angelo |
| Abstract: | In the following article I take into consideration the role of knowledge workers in the Italian regions. The analysed data refers to the ISTAT-BES database. The metric analysis consists of an in-depth analysis of the trends of the regions and macro-regions, followed by clustering with the k-Means algorithm, the application of machine learning algorithms for prediction, and the presentation of an econometric model with panel methods date. The results are also critically discussed in light of the North-South divide and the economic policy implications. |
| Keywords: | Innovation, Innovation and Invention, Management of Technological Innovation and R&D, Technological Change, Intellectual Property and Intellectual Capital |
| JEL: | O3 O30 O31 O32 O33 O34 |
| Date: | 2024–03–26 |
| URL: | http://d.repec.org/n?u=RePEc:pra:mprapa:120550&r=knm |
| By: | Nakatani, Ryota |
| Abstract: | Multifactor productivity (MFP) growth is an imperative economic engine. MFP dynamism across five advanced and seven developing countries from 1996 to 2015 is analyzed, elucidating its association with financing and intangible assets. Debt is manifested by its inverted U-shaped nonlinear relationship with MFP advancement, while corporate cash holdings are negatively (positively) associated with MFP development in five (three) countries. The heterogeneous relationships between intangible assets and MFP growth are identified across industries, countries, and time; intangible assets are requisite MFP growth enhancers for manufacturing in developing countries, for service businesses in advanced countries, and for the period after the global financial crisis. The greater the productivity effect of intangible assets is, the higher a country’s per-capita income and/or governance quality becomes. Additionally, the results evince the catching-up of MFP to the technological frontier. Moreover, older firms exhibit slower MFP growth than their peers, whilst the positive effects of firm size on MFP growth are larger in high-tech and knowledge-intensive industries. |
| Keywords: | Industrial Analysis; Multifactor Productivity Growth; Cash Holding; Debt Financing; Knowledge and Technology Intensive Sectors; Intangible Assets |
| JEL: | D22 D24 G32 L25 L6 L8 M21 O34 O57 |
| Date: | 2024–03–20 |
| URL: | http://d.repec.org/n?u=RePEc:pra:mprapa:120503&r=knm |
| By: | Gupta, Ashish |
| Abstract: | The primary objective of this study is to assess the significance of the knowledge diffusion process in relation to the employment outcomes resulting from sustainable development investments made by major multinational corporations. To gauge the degree of technological interconnectedness among these companies, we employ a measure derived from the distribution of environmentally friendly patents. Within this analytical framework, we aim to decipher the multifaceted factors influencing labor innovation outcomes, which encompass both the displacement of jobs and the compensation effects stemming from innovation. This study delves into two primary research inquiries. Firstly, we examine whether investments in the green economy stimulate job creation at the firm level, specifically within three distinct environmental domains: water, waste, and energy. Secondly, we seek to understand the extent to which the diffusion of knowledge plays a pivotal role in supporting labor within an environmental context. This is achieved by scrutinizing the impact of intra-industry externalities. The research emphasizes the need not only for economic incentives to facilitate the transition to cleaner technologies but also for more robust measures aimed at promoting job generation within the environmental sector. This dual approach is essential for realizing a fully sustainable paradigm within these corporations. |
| Keywords: | labor demand, employment, international trade |
| JEL: | F1 F13 F16 |
| Date: | 2024–03–01 |
| URL: | http://d.repec.org/n?u=RePEc:pra:mprapa:120383&r=knm |