Leogrande, Angelo (2024): Knowledge Workers across the Italian Regions.
Preview |
PDF
MPRA_paper_120550.pdf Download (1MB) | Preview |
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.
Item Type: | MPRA Paper |
---|---|
Original Title: | Knowledge Workers across the Italian Regions |
English Title: | Knowledge Workers across the Italian Regions |
Language: | English |
Keywords: | Innovation, Innovation and Invention, Management of Technological Innovation and R&D, Technological Change, Intellectual Property and Intellectual Capital |
Subjects: | O - Economic Development, Innovation, Technological Change, and Growth > O3 - Innovation ; Research and Development ; Technological Change ; Intellectual Property Rights O - Economic Development, Innovation, Technological Change, and Growth > O3 - Innovation ; Research and Development ; Technological Change ; Intellectual Property Rights > O30 - General O - Economic Development, Innovation, Technological Change, and Growth > O3 - Innovation ; Research and Development ; Technological Change ; Intellectual Property Rights > O31 - Innovation and Invention: Processes and Incentives O - Economic Development, Innovation, Technological Change, and Growth > O3 - Innovation ; Research and Development ; Technological Change ; Intellectual Property Rights > O32 - Management of Technological Innovation and R&D O - Economic Development, Innovation, Technological Change, and Growth > O3 - Innovation ; Research and Development ; Technological Change ; Intellectual Property Rights > O33 - Technological Change: Choices and Consequences ; Diffusion Processes O - Economic Development, Innovation, Technological Change, and Growth > O3 - Innovation ; Research and Development ; Technological Change ; Intellectual Property Rights > O34 - Intellectual Property and Intellectual Capital |
Item ID: | 120550 |
Depositing User: | Dr Angelo Leogrande |
Date Deposited: | 26 Mar 2024 14:40 |
Last Modified: | 26 Mar 2024 14:40 |
References: | Alyusuf, A. (2023). From ‘Knowledge is Power’to ‘Voluntary Knowledge Sharing is Power’: Its Relation with Personality Traits and Motivation for Sustainability (Literature Review). AI and Business, and Innovation Research: Understanding the Potential and Risks of AI for Modern Enterprises, 833-851. Ayinde, L., Wibowo, M. P., Ravuri, B., & Emdad, F. B. (2023). ChatGPT as an important tool in organizational management: A review of the literature. Business Information Review, 40(3), 137-149. Baltuttis, D., Teubner, T., & Adam, M. T. (2024). A typology of cybersecurity behavior among knowledge workers. Computers & Security, 140, 103741. Chen, X., Yang, H. J., Zhou, S. S., Cheng, Z. F., & Yang, M. L. (2023). How do tourism recovery experiences contribute to knowledge workers’ creativity? The moderating role of travel companion. Asia Pacific Journal of Tourism Research, 28(6), 521-538. Chow, K., Fritz, T., Holsti, L., Barbic, S., & McGrenere, J. (2023). Feeling stressed and unproductive? A field evaluation of a therapy-inspired digital intervention for knowledge workers. ACM Transactions on Computer-Human Interaction, 31(1), 1-33. Erdiaw-Kwasie, M. O., Abunyewah, M., Yusif, S., & Arhin, P. (2023). Small and medium enterprises (SMEs) in a pandemic: A systematic review of pandemic risk impacts, coping strategies and resilience. Heliyon. Fujita, K., Takashima, K., Itoh, Y., & Kitamura, Y. (2023). Human-Workspace Interaction: prior research efforts and future challenges for supporting knowledge workers. Quality and User Experience, 8(1), 7. Gerlitz, A., & Hülsbeck, M. (2023). The productivity tax of new office concepts: a comparative review of open-plan offices, activity-based working, and single-office concepts. Management Review Quarterly, 1-31. Ghorbanali, H., Mousa Khani, M., & Daneshfard, K. (2023). Presenting a model of evidence-based policies to attract and retain knowledge workers in Iran's aviation industry. Geography (Regional Planning), 13(51), 97-111. Gorbatov, S., Oostrom, J. K., & Khapova, S. N. (2024). Work does not speak for itself: Examining the incremental validity of personal branding in predicting knowledge workers’ employability. European Journal of Work and Organizational Psychology, 33(1), 40-53. Harkiolakis, T., & Komodromos, M. (2023). Supporting knowledge workers’ health and well-being in the post-lockdown era. Administrative Sciences, 13(2), 49. Herlina, M. G., & Syahchari, D. H. (2023). What Rasch Model Tells About Intergenerational Ambidextrous Behavior Among Knowledge Workers. In E3S Web of Conferences (Vol. 388, p. 04056). EDP Sciences. Hussain, S., Knijnik, J., & Balram, R. (2024). Curriculum wars and youth political education in the UK and Australia—a narrative review. Curriculum Perspectives, 1-11. Hwang, Y., Lin, H., & Shin, D. (2023). An Empirical Study on the Information Formality Motivation, Social Influence, and Goal Commitment of Knowledge Workers. International Journal of Enterprise Information Systems (IJEIS), 19(1), 1-17. Jayaram, N., & Bhatta, N. M. K. (2023). Tacit knowledge management in engineering industries: systematic literature review and development of a conceptual model. Journal of Information & Knowledge Management, 22(04), 2350012. Khan, A., & Nasim, S. (2024). Mapping research on the subjective well-being of knowledge workers: a systematic enquiry deploying bibliometrics. Management Review Quarterly, 1-44. Khatri, P., Duggal, H. K., Dutta, S., Kumari, P., Thomas, A., Brod, T., & Colimoro, L. (2023). Unveiling heterogenous knowledge-oriented leadership and knowledge acquisition based hybrid work agility of knowledge workers. Journal of Knowledge Management, 27(11), 253-278. Li, L., Yang, P., Duan, Y., Xie, J., Liu, M., Zhou, Y., ... & Cheng, A. S. (2024). Association between dietary diversity, sedentary time outside of work and depressive symptoms among knowledge workers: a multi-center cross-sectional study. BMC public health, 24(1), 53. Matli, W., & Wamba, S. F. (2023). Work from anywhere: inequalities in technology infrastructure distribution for digit workers. Digital Transformation and Society, (ahead-of-print). Muzam, J. (2023). The challenges of modern economy on the competencies of knowledge workers. Journal of the Knowledge Economy, 14(2), 1635-1671. Nazeer, S., Sumbal, M. S., Liu, G., Munir, H., & Tsui, E. (2023). The next big thing: role of ChatGPT in personal knowledge management challenges and opportunities for knowledge workers across diverse disciplines. Global Knowledge, Memory and Communication. Nugapitiya, O., & Wickramarachchi, R. (2023, April). Strategies to Overcome Information Overload in the Workplace: A Systematic Literature Review. In 2023 IEEE 8th International Conference for Convergence in Technology (I2CT) (pp. 1-5). IEEE. Pedersen, A., Ipsen, C., Kirchner, K., & Edwards, K. (2023, September). Capabilities for knowledge management in virtual collaboration: A systematic review. In ECKM 2023 24th European Conference on Knowledge Management Vol 2. Academic Conferences and publishing limited. Pratiwi, M., Hinduan, Z. R., & Lubis, F. Y. (2024, March). Unraveling the Factors Contributing to Turnover Intentions Among Knowledge Workers: A Systematic Literature Review. In Proceeding of the International Conference on Multidisciplinary Research for Sustainable Innovation (Vol. 1, No. 1, pp. 400-410). Ren, Y., & Clement, J. (2024). Augmenting Human Teams with Robots in Knowledge Work Settings: Insights from the Literature. ACM Transactions on Human-Robot Interaction. Rogozińska-Pawełczyk, A. (2023). Inclusive Leadership and Psychological Contract Fulfilment: A Source of Proactivity and Well-Being for Knowledge Workers. Sustainability, 15(14), 11059. Sari, E. R., & Junedi, S. S. (2023). APPLICATION OF KNOWLEDGE MANAGEMENT IN R&D INSTITUTIONS: A SYSTEMATIC REVIEW. EPRA International Journal of Research and Development (IJRD), 8(11), 123-128. Satarova, B., Siddiqui, T., Raza, H., Abbasi, N., & Kydyrkozha, S. (2023). A Systematic Review of “The Performance of Knowledge Organizations and Modelling Human Action”. Socioecon. Anal, 1, 56-77. Segura‐Rodas, S., Griffin, M., Simpson, A., & Toms, E. (2023). Knowledge Work Activities of a Systematic Review Task. Proceedings of the Association for Information Science and Technology, 60(1), 1116-1118. Shah, S. T. H., Shah, S. M. A., & El-Gohary, H. (2023). Nurturing innovative work behaviour through workplace learning among knowledge workers of small and medium businesses. Journal of the knowledge economy, 14(4), 3616-3639. Tarvainen, J. (2023). The relevance of cognitive ergonomics for the work well-being of knowledge workers. Ventista, O. M., & Brown, C. (2023). Teachers’ professional learning and its impact on students’ learning outcomes: Findings from a systematic review. Social Sciences & Humanities Open, 8(1), 100565. Vogl, T., Sinitsyna, A., & Micek, G. (2024). Systematic literature review of location factors of coworking spaces in non-urban areas. Evolution of New Working Spaces: Changing Nature and Geographies, 83-94. Wang, L., Sun, C., Zhang, C., Nie, W., & Huang, K. (2023). Application of knowledge graph in software engineering field: A systematic literature review. Information and Software Technology, 107327. Wang, Y. Z., & Yu, R. F. (2023). The influence of spousal support on the outcomes and willingness of work from home for female knowledge workers. Ergonomics, 1-13. Wechsler, K., Griemsmann, S., Weber, B., & Ellegast, R. (2024). The impact of remote work using mobile information and communication technologies on physical health: a systematic review. Ergonomics, 1-18. Wewerka, J. (2023). A checklist to support knowledge workers in implementing robotic process automation projects (Doctoral dissertation, Universität Ulm). Woodruff, A., Shelby, R., Kelley, P. G., Rousso-Schindler, S., Smith-Loud, J., & Wilcox, L. (2023). How Knowledge Workers Think Generative AI Will (Not) Transform Their Industries. arXiv preprint arXiv:2310.06778. Yan, Y., Geng, Y., & Gao, J. (2023). Measuring the decent work of knowledge workers: Constructing and validating a new scale. Heliyon, 9(7). Yen, Y. Y., Zhang, C. Y., & Yen, W. T. M. (2024). Retaining knowledge workers for effective digital transformation. International Journal of Innovative Research and Scientific Studies, 7(1), 202-210. |
URI: | https://mpra.ub.uni-muenchen.de/id/eprint/120550 |