Fabiola del Toro Osorio
ABSTRACT
Competitiveness is one of the important goals that economies are trying to achieve. Some experts associate competitiveness with stability and growth, and as such governments are designing solutions to increase competitiveness to improve the quality of life in their communities. To contribute to this goal, we are currently researching how data can be used to increase competitiveness of Smart Territories. This paper presents the progress of our ongoing research that aims to answer the following question: Which artifacts drive the competitiveness of smart territories? This question will help us to answer the overall research question: How to obtain the greatest value from data to contribute to the competitiveness of smart territories? So far, we have proposed a data strategy model that was validated with the private sector, and we are working on the first version of the model adaptation for the design of an effective data strategy for smart territories. We presented this advance in the paper Designing a Data Strategy for Organizations and its adaptation of Smart Territories [8]. We will expand and customize the model focusing on the field of competitiveness of Smart Territories. One of the biggest challenges in the research is identifying the boundaries of competitiveness and, subsequently, how to use the data effectively to expand them. The focus of this paper is to identify these boundaries by researching competitiveness. As such, the paper presents the boundaries of competitiveness and the factors that engage in this subject area to better understand the relationship between competitiveness and the data smart territory strategy.
- Ács, Z. J., Szerb, L., Lafuente, E., & Lloyd, A. (2018). Global Entrepreneurship and Development Index 2018. Springer International Publishing. https://doi.org/10.1007/978-3-030-03279-1Google Scholar
Cross Ref
- Appio, F. P., Lima, M., & Paroutis, S. (2019). Understanding Smart Cities: Innovation ecosystems, technological advancements, and societal challenges. Technological Forecasting and Social Change, 142, 1–14. https://doi.org/10.1016/j.techfore.2018.12.018Google ScholarCross Ref
- Castelnovo, W., Misuraca, G., & Savoldelli, A. (2016). Smart Cities Governance: The Need for a Holistic Approach to Assessing Urban Participatory Policy Making. Social Science Computer Review, 34(6), 724–739. https://doi.org/10.1177/0894439315611103Google ScholarDigital Library
- Cherednychenko, O. O. (2016). Cooperative or competitive? Private regulators and public supervisors in the post-crisis European financial services landscape. Policy and Society, 35(1), 103–114. https://doi.org/10.1016/j.polsoc.2015.12.005Google ScholarCross Ref
- Chourabi, H., Walker, S., Gil-Garcia, J. R., Mellouli, S., Nahon, K., Pardo, T. A., & Scholl, H. J. (n.d.). Understanding Smart Cities: An Integrative Framework. http://www.unfpa.orgGoogle Scholar
- Delgado, M., Ketels, C., Porter, M. E., & Stern, S. (2012). The determinants of national competitiveness (No. w18249). National Bureau of Economic Research.Google ScholarCross Ref
- DAMA International. (2017). Data Management Body of Knowledge (C. Deborah Henderson, C. Susan Earley, & C. I. Laura Sebastian-Coleman, Eds.; 2nd ed.). Technics PublicationsGoogle Scholar
- del Toro Osorio, F., Ospina Becerra, V.E., Estévez, E. (2023). Designing a Data Strategy for Organizations. In: Naiouf, M., Rucci, E., Chichizola, F., De Giusti, L. (eds) Cloud Computing, Big Data & Emerging Topics. JCC-BD&ET 2023. Communications in Computer and Information Science, vol 1828. Springer, Cham. https://doi.org/10.1007/978-3-031-40942-4_11Google ScholarCross Ref
- Edwards-Schachter, M. (2018). The nature and variety of innovation. In International Journal of Innovation Studies (Vol. 2, Issue 2, pp. 65–79). KeAi Publishing Communications Ltd. https://doi.org/10.1016/j.ijis.2018.08.004.Google ScholarCross Ref
- Gerard ADAMS, F., Gangnes, B., Shachmurove, Y., & Gerard, F. (2004). Why Is China So Competitive? Measuring and Explaining China's Competitiveness. https://ink.library.smu.edu.sg/soe_research/782Google Scholar
- Giffinger, R. (2007). Smart cities Ranking of European medium-sized cities. In Research Institute for Housing, Urban and Mobility Services (Vol. 16, Issue October).Google Scholar
- Hall, R., & Jones, C. (1998). Whydosomecountriesproducesomuchmoreoutputperworkerthanothers. https://www.nber.org/papers/w6564Google Scholar
- Institute for Urban Strategies. (2022). Global Power City Index. https://mori-m-foundation.or.jp/english/ius2/gpci2/index.shtmlGoogle Scholar
- Janowski, T. (2015). Digital government evolution: From transformation to contextualization. In Government Information Quarterly (Vol. 32, Issue 3, pp. 221–236). Elsevier Ltd. https://doi.org/10.1016/j.giq.2015.07.001Google ScholarCross Ref
- Kabak, Ö., Önsel Ekici, Ş., & Ülengin, F. (2020). Analyzing two-way interaction between the competitiveness and logistics performance of countries. Transport Policy, 98, 238–246. https://doi.org/10.1016/j.tranpol.2019.10.007Google ScholarCross Ref
- Lestari, S. D., Leon, F. M., Widyastuti, S., Brabo, N. A., & Putra, A. H. P. K. (2020). Antecedents and consequences of innovation and business strategy on performance and competitive advantage of SMEs. Journal of Asian Finance, Economics and Business, 7(6), 365–378. https://doi.org/10.13106/JAFEB.2020.VOL7.NO6.365Google ScholarCross Ref
- Manville, (2014). Mapping Smart Cities in the EU. Di rectorate-General for Internal Policies. https://doi.org/10.2861/3408Google ScholarCross Ref
- Muschkiet, M., Kühne, B., Jagals, M., & Bergan, P. (2022). Making Data Valuable for Smart City Service Systems-A Citizen Journey Map for Data-driven Service Design Augmented Reality-enabled Enterprise Architecture Management View project Projekt Portfolio Management View project. https://www.researchgate.net/publication/358644525Google Scholar
- Mondal, S., Pant, M. (2014) FDI and Firm Competitiveness: Evidence from Indian Manufacturing Sector. Economic and Political Weekly (Vol 49)Google Scholar
- Newall, J. E. (1992). The challenge of competitiveness. Business quarterly, 56(4), 94-100.Google Scholar
- Oliinyk, O., Bilan, Y., Mishchuk, H., Akimov, O., & Vasa, L. (2021). The impact of migration of highly skilled workers on the country's competitiveness and economic growth. Montenegrin Journal of Economics, 17(3), 7–19. https://doi.org/10.14254/1800-5845/2021.17-3.1Google ScholarCross Ref
- Ozkaya, G., & Erdin, C. (2020). Evaluation of smart and sustainable cities through a hybrid MCDM approach based on ANP and TOPSIS technique. Heliyon, 6(10). https://doi.org/10.1016/j.heliyon.2020.e05052Google ScholarCross Ref
- Roszko-Wójtowicz, E., & Grzelak, M. M. (2020). Macroeconomic stability and the level of competitiveness in EU member states: a comparative dynamic approach. Oeconomia Copernicana, 11(4), 657–688. https://doi.org/10.24136/oc.2020.027Google ScholarCross Ref
- Schwab, K. (2013). Insight Report The Global Competitiveness Report 2013-2014. https://www.weforum.org/reports/global-competitiveness-report-2013-2014Google Scholar
- Sergi, B. S., D'Aleo, V., Konecka, S., Szopik-Depczyńska, K., Dembińska, I., & Ioppolo, G. (2021). Competitiveness and the Logistics Performance Index: The ANOVA method application for Africa, Asia, and the EU regions. Sustainable Cities and Society, 69. https://doi.org/10.1016/j.scs.2021.102845Google ScholarCross Ref
- Veiga, P. M., Teixeira, S. J., Figueiredo, R., & Fernandes, C. I. (2020). Entrepreneurship, innovation, and competitiveness: A public institution love triangle. Socio-Economic Planning Sciences, 72. https://doi.org/10.1016/j.seps.2020.100863Google ScholarCross Ref
- World Economic Forum, Schwab, K., & Zahidi, S. (2020). The Global Competitiveness Report Special Edition 2020. World Economic Forum.Google Scholar
- World Economic Forum, Schwab, K., (2016). The Global Competitiveness Report Special Edition 2016-2017. World Economic ForumGoogle Scholar
Index Terms
- Smart territories competitiveness based on data use
Recommendations
Education, research, and development expenditure is the best way to competitiveness—a panel data approach for Latin American Countries
AbstractThis paper investigates the impact of variations in Research and Development Spending and Education Expenditure on GDP variations in Latin America during the period between 2000 and 2019 (20 years). The dependent variable for productivity and ...
Developing Smart Regions: Proposal and Application of a Model for Island Territories
Transforming a city into a smart city is a long and complex process. If the aim is to modify large areas regions/territories, the problem becomes significantly harder. Contrary to what might be expected, combining N smart cities within the same ...
Strategic alliance and competitiveness in Taiwan speakers and amplifiers firms
ISTASC'10: Proceedings of the 10th WSEAS international conference on Systems theory and scientific computationEconomic globalization has forced and is still forcing firms to develop new global manufacturing and distribution concepts. Through the development of economic globalization, every government and firms in the world is proceeding to reform and redevelop ...
Comments