Leveraging Big Data for Economic Stability: A Dashboard for ASEAN's Future Growth
DOI:
https://doi.org/10.24191/jcrinn.v9i2.445Keywords:
Big Data, Currency Rate, Economy, GDP, Unemployment RatesAbstract
The economy is expected to decline. All countries aspire for economic stability because it can enhance a country's gross domestic product (GDP). Nations must thoroughly examine their economic realities in order to adopt strategic economic policies that foster growth and attract investment. The present dashboard only displays the inflation rate and excludes other essential economic indicators such as total economic output, current GDP rate, currency rates, and unemployment rate. The indicators were presented graphically on a separate platform without a detailed explanation, which could lead to misinterpretation. Investors may make an incorrect evaluation, leading to a financial loss. The major purpose of this project is to create a dashboard that appropriately assesses Southeast Asian states' economic stability. The primary goals of this research are to determine the techniques and requirements of an economic stability indicator dashboard for ASEAN countries, to create a console utilizing Big Data methods and to assess the usefulness of this system. This study employs the Rapid Application Development paradigm, which was chosen for its ability to efficiently build a system within a small time frame. The objectives are met successfully within the specified stages through Technology Acceptance Model. There are four dimensions were evaluated namely Perceived Ease of Use, Perceived Usefulness, Attitude and Intention to Use. The participants comprised both salaried Malaysians from various industries and self-employed people. The system's average score for all dimensions is 4.76 shows that the dashboard can help consumers make better decisions. This study is suggested to has prediction and machine learning to be used as a prediction model for future implementation.
Downloads
References
AAlghamdi, N. A., & Al-Baity, H. H. (2022). Augmented analytics driven by AI: A digital transformation beyond Business Intelligence. Sensors, 22(20). https://doi.org/10.3390/s22208071
Amado, A., Cortez, P., Rita, P., & Moro, S. (2018). Research trends on Big Data in Marketing: A text mining and topic modeling based literature analysis. European Research on Management and Business Economics, 24(1), 1–7. https://doi.org/10.1016/j.iedeen.2017.06.002
Carlsson-Szlezak, P., Reeves, M., & Swartz, P. (2020). What coronavirus could mean for the global economy. Harvard Business Review. https://hbr.org/2020/03/what-coronavirus-could-mean-for-the-global-economy
Chen, J., Scott, G., & Kvilhaug, S. (2022). Exchange rates: What they are, how they work, why they fluctuate. Investopedia. https://www.investopedia.com/terms/e/exchangerate.asp
Dash, S., Shakyawar, S. K., Sharma, M., & Kaushik, S. (2019). Big data in healthcare: Management, analysis and future prospects. Journal of Big Data, 6(1). https://doi.org/10.1186/s40537-019-0217-0
Dubey, R., Gunasekaran, A., Childe, S. J., Blome, C., & Papadopoulos, T. (2019). Big data and predictive analytics and manufacturing performance: integrating institutional theory, resource-based view and big data culture. British Journal of Management, 30(2), 341–361. https://doi.org/10.1111/1467-8551.12355
European Central Bank. (2024). Inflation dashboard and available data series. Measuring inflation - the Harmonised Index of Consumer Prices (HICP). https://www.ecb.europa.eu/stats/macroeconomic_and_sectoral/hicp/more/html/data.en.html
Fontanel, J. (2020). GDP, an insufficient indicator for estimating the power of a country and GDP per capita, an insufficient indicator for estimating the well-being of citizens. Working Papers hal-02986071, HAL. https://ideas.repec.org/p/hal/wpaper/hal-02986071.html
Frankenfield, J., & Chavarria, A. (2022a). What Is a data warehouse? warehousing data, data mining explained. Investopedia. https://www.investopedia.com/terms/d/data-warehousing.asp
Frankenfield, J., Boyle, M. J., & Rathburn, P. (2022b). Data analytics: What it is, how it’s used, and 4 basic techniques. Investopedia. https://www.investopedia.com/terms/d/data-analytics.asp#toc-types-of-data-analytics
Gupta, S., Chen, H., Hazen, B. T., Kaur, S., & Santibañez Gonzalez, E. D. R. (2019). Circular economy and big data analytics: A stakeholder perspective. Technological Forecasting and Social Change, 144, 466–474. https://doi.org/10.1016/j.techfore.2018.06.030
Hamilton, A. (2018). Understanding exchange rates and why they are important. Reserve Bank of Australia. https://www.rba.gov.au/publications/bulletin/2018/dec/understanding-exchange-rates-and-why-they-are-important.html
Han, L., Liu, Y., & Yin, L. (2019). Uncertainty and currency performance: A quantile-on-quantile approach. North American Journal of Economics and Finance, 48, 702–729. https://doi.org/10.1016/j.najef.2018.08.006
Hassani, H., Huang, X., & Silva, E. (2018). Digitalisation and big data mining in banking. Big Data and Cognitive Computing, 2(3), 1-13. https://doi.org/10.3390/bdcc2030018
Hayes, A., Anderson, S., & Perez, Y. (2022). What is unemployment? Understanding causes, types, measurement. Investopedia. https://www.investopedia.com/terms/u/unemployment.asp
Infomediang. (2022). 10 weakest currencies in Asia. Actionable Info. https://infomediang.com/weakest-currencies-asia/
International Monetary Fund. (2024a). Inflation rate, average consumer prices. Annual percent change. https://www.imf.org/external/datamapper/PCPIPCH@WEO/OEMDC
International Monetary Fund. (2024b). Unemployment rate. Percent. https://www.imf.org/external/datamapper/LUR@WEO/OEMDC/ADVEC/WEOWORLD
Jiao, S. (2022). Epidemic data analysis based on data visualization technology. In 5th IEEE International Conference on Computer and Communication Engineering Technology (CCET 2022) (pp. 47–51). https://doi.org/10.1109/CCET55412.2022.9906371
Kar, A. K., & Dwivedi, Y. K. (2020). Theory building with big data-driven research – Moving away from the “What” towards the “Why.” International Journal of Information Management, 54. https://doi.org/10.1016/j.ijinfomgt.2020.102205
Kenton, W., Boyle, M. J., & Li, T. (2022). Economy: What it is, types of economies, economic indicators. Investopedia. https://www.investopedia.com/terms/e/economy.asp
Kramer, L., Boyle, M. J., & Perez, Y. (2022). What is GDP and why is it so important to economists and investors? Investopedia. https://www.investopedia.com/ask/answers/what-is-gdp-why-its-important-to-economists-investors/#toc-nominal-vs-real-gdp
Maverick, J. B. (2022). Limitations of the Consumer Price Index (CPI). Investopedia. https://www.investopedia.com/ask/answers/012915/what-are-some-limitations-consumer-price-index-cpi.asp
Meng, X., Ma, L., & Zhou, Y. (2022). Analysis and example implementation of data visualization Technology. ACM International Conference Proceeding Series, 56–60. https://doi.org/10.1145/3523111.3523119
Murray, A., Skene, K., & Haynes, K. (2017). The circular economy: An interdisciplinary exploration of the concept and its application in a global context. Journal of Business Ethics, 140(3), 369–380. https://doi.org/https://doi.org/10.1007/s10551-015-2693-2
Nguyen, P. H., Tsai, J. F., Kayral, I. E., & Lin, M. H. (2021). Unemployment rates forecasting with grey-based models in the post-COVID-19 period: A case study from Vietnam. Sustainability, 13(14). https://doi.org/10.3390/su13147879
Pettinger, T. (2021). Definition of inflation. Economics Help. https://www.economicshelp.org/macroeconomics/inflation/definition/
Pozo, S., Carrillo, G., & Amaro, I. R. (2021). An exploratory analysis of Covid-19 in South America: Relationship between public health damages and economic impact in the region. Smart Innovation, Systems and Technologies, 233, 266–280. https://doi.org/10.1007/978-3-030-75680-2_31
Ridoh, A., Putra, I., Fadli, R., Muhammadiyah, S., & Bungo, M. (2020). Web-based data visualization to identify the spread of Covid-19 in Indonesia. JPVTI, 2(1), 20–25. http://dx.doi.org/10.23960/jpvti.v2.i1.202003
Shah, V. (2019). Five Crucial Features Your Big Data Visualization Tool Should Possess. Dataversity. https://www.dataversity.net/five-crucial-features-your-big-data-visualization-tool-should-possess/#
Shamim, S., Zeng, J., Khan, Z., & Zia, N. U. (2020). Big data analytics capability and decision making performance in emerging market firms: The role of contractual and relational governance mechanisms. Technological Forecasting and Social Change, 161. https://doi.org/10.1016/j.techfore.2020.120315
Sharma, M. (2018). Characteristics and Functions of Data warehouse. GeeksForGeeks. https://www.geeksforgeeks.org/characteristics-and-functions-of-data-warehouse/
Smith, M. (2019). The relationship between inflation and economic growth (GDP): An empirical analysis. Ivory Research. https://www.ivoryresearch.com/samples/the-relationship-between-inflation-and-economic-growth-gdp-an-empirical-analysis/
Smith, L., & Boyle, M. J. (2021). Does High GDP Mean Economic Prosperity? Investopedia. https://www.investopedia.com/articles/economics/08/genuine-progress-indicator-gpi.asp
Trading Economics. (2024). Currency Exchange Rate. https://tradingeconomics.com/currencies
The Global Economy. (2021). Unemployment Rate. The Global Economy. https://www.theglobaleconomy.com/rankings/unemployment_rate/Asia/
Vecchio, M. (2022). The 12 Strongest Currencies of Asia. World Atlas. https://www.worldatlas.com/economics/the-12-strongest-currencies-of-asia.html
Vuckovic, M., & Schmidt, J. (2022). On sense making and the generation of knowledge in visual analytics. Analytics, 1(2), 98–116. https://doi.org/10.3390/analytics1020008
Washmuth, D. (2022). Economic instability examples, causes & effects. Study. https://study.com/learn/lesson/economic-instability-causes-examples-what-is-economic-instability.html
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2024 Norfiza Ibrahim, Nurul Athirah Aziz, Azmi Abu Seman, Nadia Abdul Wahab, Aznoora Osman, Siti Sarah Md Ilyas (Author)
This work is licensed under a Creative Commons Attribution 4.0 International License.