Real-Time Entrepreneurship Insights: Evidence from Search Data on Indonesia’s MSMEs

Authors

  • Asep Koswara Islamic Business Management, Sekolah Tinggi Ilmu Al-Qur’an As-syifa, Subang, Indonesia

DOI:

https://doi.org/10.55980/esber.v4i1.360

Keywords:

Entrepreneurship, MSMEs, Google Trends, Real-time analysis, Digital trace data

Abstract

This study explores real-time entrepreneurial dynamics among Micro, Small, and Medium Enterprises (MSMEs) in Indonesia by leveraging Google search data. Using an exploratory quantitative approach, the research analyzes search trends derived from 50 popular MSME-related keywords to capture temporal patterns of entrepreneurial attention. The findings reveal that MSME-related search interest is highly dynamic, responsive to economic context, and thematically differentiated. Searches related to entrepreneurial entry and digital market access dominate overall interest, reflecting the growing importance of digitalization in MSME development, while financing and regulatory topics exhibit more episodic attention. The study further demonstrates that search data exhibit consistency, persistence, and responsiveness, supporting their viability as a proxy for real-time entrepreneurial interest rather than direct entrepreneurial action. By providing empirical evidence from an emerging economy context, this research contributes to the growing literature on digital trace data in entrepreneurship and highlights the potential of search-based analytics to support agile, data-driven MSME policy and decision-making.

References

Aaronson, D., Brave, S. A., Butters, R. A., Fogarty, M., Sacks, D. W., & Seo, B. (2022). Forecasting unemployment insurance claims in realtime with Google Trends. International Journal of Forecasting, 38(2), 567–581. https://doi.org/10.1016/j.ijforecast.2021.04.001

Bantis, E., Clements, M. P., & Urquhart, A. (2023). Forecasting GDP growth rates in the United States and Brazil using Google Trends. International Journal of Forecasting, 39(4), 1909–1924. https://doi.org/10.1016/j.ijforecast.2022.10.003

Chae, B. (Kevin), & Goh, G. (2020). Digital entrepreneurs in artificial intelligence and data analytics: Who are they? Journal of Open Innovation: Technology, Market, and Complexity, 6(3), 56. https://doi.org/10.3390/JOITMC6030056

Charpentier, C. J., Cogliati Dezza, I., Vellani, V., Globig, L. K., Gädeke, M., & Sharot, T. (2022). Anxiety increases information-seeking in response to large changes. Scientific Reports, 12(1), 1–12. https://doi.org/10.1038/s41598-022-10813-9

Choi, H., & Varian, H. (2012). Predicting the Present with Google Trends. Economic Record, 88(s1), 2–9. https://doi.org/10.1111/j.1475-4932.2012.00809.x

Fan, M., Qalati, S. A., Khan, M. A. S., Shah, S. M. M., Ramzan, M., & Khan, R. S. (2021). Effects of entrepreneurial orientation on social media adoption and SME performance: The moderating role of innovation capabilities. PLoS ONE, 16(4 April 2021), 1–24. https://doi.org/10.1371/journal.pone.0247320

France, S. L., Shi, Y., & Kazandjian, B. (2021). Web Trends: A valuable tool for business research. Journal of Business Research, 132, 666–679. https://doi.org/10.1016/j.jbusres.2020.10.019

Gonçalves, M. P. V., Ferreira, F. A. F., Dabić, M., & Ferreira, J. J. M. (2024). “Navigating through the digital swamp”: assessing SME propensity for online marketplaces. Review of Managerial Science, 18(9), 2583–2612. https://doi.org/10.1007/s11846-023-00704-2

Karimi, J., & Walter, Z. (2021). The Role of Entrepreneurial Agility in Digital Entrepreneurship and Creating Value in Response to Digital Disruption in the Newspaper Industry. Sustainability, 13(5), 2741. https://doi.org/10.3390/su13052741

Kelly, C. A., Blain, B., & Sharot, T. (2024). “How” web searches change under stress. Scientific Reports, 14(1), 1–14. https://doi.org/10.1038/s41598-024-65895-4

Kilroy, D., Healy, G., & Caton, S. (2024). Prediction of future customer needs using machine learning across multiple product categories. In PLoS ONE (Vol. 19, Issue 8). https://doi.org/10.1371/journal.pone.0307180

Kohns, D., & Bhattacharjee, A. (2023). Nowcasting growth using Google Trends data: A Bayesian Structural Time Series model. International Journal of Forecasting, 39(3), 1384–1412. https://doi.org/10.1016/j.ijforecast.2022.05.002

Kollmann, T., Kleine-Stegemann, L., de Cruppe, K., & Then-Bergh, C. (2022). Eras of Digital Entrepreneurship: Connecting the Past, Present, and Future. Business and Information Systems Engineering, 64(1), 15–31. https://doi.org/10.1007/s12599-021-00728-6

Kristensen, K., Lorenz, E., May, J., & Strauss, R. (2021). Exploring the use of web searches for risk communication during COVID-19 in Germany. Scientific Reports, 11(1), 1–10. https://doi.org/10.1038/s41598-021-85873-4

Lee, W. S., Choi, H. S., & Sohn, S. Y. (2018). Forecasting new product diffusion using both patent citation and web search traffic. PLoS ONE, 13(4), 1–12. https://doi.org/10.1371/journal.pone.0194723

Lorenz-Spreen, P., Mønsted, B. M., Hövel, P., & Lehmann, S. (2019). Accelerating dynamics of collective attention. Nature Communications , 10(1), 1–9. https://doi.org/10.1038/s41467-019-09311-w

Marty, R., Ramos-Maqueda, M., Khan, N., & Reichert, A. (2023). The evolution of the COVID-19 pandemic through the lens of google searches. Scientific Reports, 13(1), 1–14. https://doi.org/10.1038/s41598-023-41675-4

McAdam, M., Crowley, C., & Harrison, R. T. (2019). “To boldly go where no [man] has gone before” - Institutional voids and the development of women’s digital entrepreneurship. Technological Forecasting and Social Change, 146, 912–922. https://doi.org/10.1016/j.techfore.2018.07.051

McAdam, M., Crowley, C., & Harrison, R. T. (2020). Digital girl: cyberfeminism and the emancipatory potential of digital entrepreneurship in emerging economies. Small Business Economics, 55(2), 349–362. https://doi.org/10.1007/s11187-019-00301-2

Nambisan, S., Wright, M., & Feldman, M. (2019). The digital transformation of innovation and entrepreneurship: Progress, challenges and key themes. Research Policy, 48(8), 103773. https://doi.org/10.1016/j.respol.2019.03.018

Nugraha, D. P., Setiawan, B., Nathan, R. J., & Fekete-Farkas, M. (2022). Fintech Adoption Drivers for Innovation for SMEs in Indonesia. Journal of Open Innovation: Technology, Market, and Complexity, 8(4), 208. https://doi.org/10.3390/joitmc8040208

Nuti, S. V., Wayda, B., Ranasinghe, I., Wang, S., Dreyer, R. P., Chen, S. I., & Murugiah, K. (2014). The use of google trends in health care research: A systematic review. PLoS ONE, 9(10). https://doi.org/10.1371/journal.pone.0109583

Satalkina, L., & Steiner, G. (2020). Digital Entrepreneurship and its Role in Innovation Systems: A Systematic Literature Review as a Basis for Future Research Avenues for Sustainable Transitions. Sustainability, 12(7), 2764. https://doi.org/10.3390/su12072764

Schepers, J., Vandekerkhof, P., & Dillen, Y. (2021). The Impact of the COVID-19 Crisis on Growth-Oriented SMEs: Building Entrepreneurial Resilience. Sustainability, 13(16), 9296. https://doi.org/10.3390/su13169296

Semerci, A. B., Özgören, A. A., & İçen, D. (2022). Thoughts on women entrepreneurship: an application of market basket analysis with google trends data. Soft Computing, 26(19), 10035–10047. https://doi.org/10.1007/s00500-022-07355-7

Singh, N., Munjal, S., Kundu, S., & Rangarajan, K. (2023). Platform-Based Internationalization of Smaller Firms: The Role of Government Policy. Management International Review, 63(1), 91–115. https://doi.org/10.1007/s11575-022-00492-z

Szczygielski, J. J., Charteris, A., Obojska, L., & Brzeszczyński, J. (2024). Capturing the timing of crisis evolution: A machine learning and directional wavelet coherence approach to isolating event-specific uncertainty using Google searches with an application to COVID-19. Technological Forecasting and Social Change, 205(December 2022). https://doi.org/10.1016/j.techfore.2024.123319

Tekic, Z., Parfenov, A., & Malyy, M. (2024). Analysing and predicting a country’s entrepreneurial activity using insights from entrepreneurs’ digital footprint. Journal of Entrepreneurship in Emerging Economies, 16(2), 446–468. https://doi.org/10.1108/JEEE-12-2022-0389

Wang, Z., & Shao, Y. (2022). Decide to Take Entrepreneurial Action: Role of Entrepreneurial Cognitive Schema on Cognitive Process of Exploiting Entrepreneurial Opportunity. Sustainability, 14(8), 4709. https://doi.org/10.3390/su14084709

Waters, J., Nicolaou, N., Stefanidis, D., Efstathiades, H., Pallis, G., & Dikaiakos, M. (2021). Exploring the sentiment of entrepreneurs on Twitter. PLoS ONE, 16(7 July), 1–25. https://doi.org/10.1371/journal.pone.0254337

Yu, L., Zhao, Y., Tang, L., & Yang, Z. (2019). Online big data-driven oil consumption forecasting with Google trends. International Journal of Forecasting, 35(1), 213–223. https://doi.org/10.1016/j.ijforecast.2017.11.005

Zhong, X., & Raghib, M. (2019). Revisiting the use of web search data for stock market movements. Scientific Reports, 9(1), 1–8. https://doi.org/10.1038/s41598-019-50131-1

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Published

2025-04-15

How to Cite

Koswara, A. (2025). Real-Time Entrepreneurship Insights: Evidence from Search Data on Indonesia’s MSMEs. Entrepreneurship and Small Business Research, 4(1), 1–11. https://doi.org/10.55980/esber.v4i1.360