Abstract
It’s possible that if people eat better and spend less, it might boost the economy. The social economy is the engine that powers the digital economy’s fair and equitable reorganization. The community business sector in developing countries was the focus of this quantitative study of the social economy. An online survey was completed by 721 random people in Thailand. In order to analyze the data, multiple regression was used. The findings indicated that the social economy may be affected by factors such as age, residence, technological readiness, and online communication platforms including Instagram, Pinterest, Facebook, and blogs. When people with comparable interests are given the resources to launch businesses that sustain social and community initiatives, everyone benefits. Include people of varying ages to boost participation.
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References
Barr, C.: A post Covid-19 agenda for nonprofit and social economy research. Canad. J. Nonprofit and Soc. Econ. Res. 11(1), 4–4 (2020). https://doi.org/10.22230/anserj.2020v11n1a373
Bouchard, M.J.: Social innovation, an analytical grid for understanding the social economy: the example of the Quebec housing sector. Serv. Bus. 6(1), 47–59 (2012). https://doi.org/10.1007/s11628-011-0123-9
Cardoso, L., Meireles, A., Peralta, C.F.: Knowledge management and its critical factors in social economy organizations. J. Knowl. Manag. 16(2), 267–284 (2012). https://doi.org/10.1108/13673271211218861
Chitiga-Mabugu, M., Henseler, M., Mabugu, R., Maisonnave, H.: Economic and distributional impact of COVID-19: evidence from macro-micro modelling of the South African economy. South African J. Econ. 89(1), 82–94 (2021). https://doi.org/10.1111/saje.12275
County Health Rankings.: Social & Economic Factors (2022). Retrieved from: https://www.countyhealthrankings.org/explore-health-rankings/county-health-rankings-model/health-factors/social-economic-factors
Di Maggio, U., Notarstefano, G.: Social and civil economy for a new paradigm of development: statistics needs and data availability in EU. The Italian J. Econ. Demographic and Stat. Stud. 73(1), 41–50 (2019)
Felice, F.: Civil economy in the social market economy: a theoretical perspective. J. for Markets and Ethics 6(1), 87–98 (2018). https://doi.org/10.2478/jome-2018-0030
Helbing, D., Frey, B.S., Gigerenzer, G., Hafen, E., Hagner, M., Hofstetter, Y., . . . Zwitter, A.: Will democracy survive big data and artificial intelligence?. In: Towards Digital Enlightenment, pp. 73–98. Cham, Springer (2019)
Jandawapee, S., Siripipatthanakul, S., Phayaphrom, B., Limna, P.: Factors influencing intention to follow the preventive COVID-19 protocols among Thai people. Int. J. Behav. Anal. 2(1), 1–15 (2022). https://doi.org/10.31838/hiv21.02.06
Liger, Q., Stefan, M., Britton, J.: Social economy. European parliament (2016). Retrieved from: http://www.europarl.europa.eu/studies
Limna, P.: Artificial Intelligence (AI) in the hospitality industry: a review article. Int. J. Comput. Sci. Res. 6(6), 1–12 (2022) Advance Online Publication
Limna, P., Kraiwanit, T., Siripipatthanakul, S.: The growing trend of digital economy: a review article. Int. J. Comput. Sci. Res. 6(6), 1–11 (2022). https://doi.org/10.25147/ijcsr.2017.001.1.106
Limsangpetch, V., Siripipatthanakul, S., Phayaphrom, B., Limna, P.: Modelling knowledge management on business performance through mediating role of organisational innovation among IT Staff in Bangkok Thailand. Int. J. Behav. Anal. 2(2), 1–17 (2022)
Milotay, N.: What future for the social economy? Europ. Parliamentary Res. Serv. 659(336), 1–12 (2020)
Mishra, M.K.: The world after COVID-19 and its impact on global economy. Kiel, Hamburg: ZBW—Leibniz Information Centre for Economics (2020)
Moore, A.W., Anderson, B., Das, K., Wong, W.K.: Combining multiple signals for biosurveillance. In: Handbook of Biosurveillance, pp. 235–242. (2006).https://doi.org/10.1016/B978-012369378-5/50017-X
Noya, A., Clarence, E.: The social economy: building inclusive economies, local economic and employment development (LEED) (Eds.). Paris, OECD Publishing (2007)
Nuanchuen, J.: Guidelines for developing sustainable community enterprises with local wisdom: case study of community enterprises in Nakhon Phanom Province and Sakon Nakhon Province. Thai National Defence College, Thailand (2018)
Núñez, R.B.C., Bandeira, P., Santero-Sánchez, R.: Social economy, gender equality at work and the 2030 agenda: theory and evidence from Spain. Sustainability 12(12), 5192 (2020). https://doi.org/10.3390/su12125192
Petcho, W., Szabo, S., Kusakabe, K., Yukongdi, V.: Farmers’ perception and drivers of membership in rice production community enterprises: evidence from the central region Thailand. Sustainability 11(19), 5445 (2019). https://doi.org/10.3390/su11195445
Radivojević, V., Krstić, B., Stanišić, T.: The role of technological readiness in the global competitiveness of Serbian economy. Facta Universitatis. Series: Econ. Organiz. 15(1), 111–123 (2018). https://doi.org/10.22190/fueo1802111r
Sharma, E.: A review of corporate social responsibility in developed and developing nations. Corp. Soc. Responsib. Environ. Manag. 26(4), 712–720 (2019)
Sijtsema, S.J., Snoek, H.M., Van Haaster-de Winter, M.A., Dagevos, H.: Let’s talk about circular economy: a qualitative exploration of consumer perceptions. Sustainability 12(1), 1–15 (2019). https://doi.org/10.3390/su12010286
Siripipatthanakul, S., Limna, P., Sriboonruang, P., Kaewpuang, P.: Applying the TPB and the UTAUT models predicting intentions to use telemedicine among Thai people during the COVID-19 pandemic. Int. J. Comput. Sci. Res. 6(6), 1–23 (2022). https://doi.org/10.25147/ijcsr.2017.001.1.107
Subiyakto, B., Jumriani, J., Abbas, E.W., Muhaimin, M., Rusmaniah, R.: Community economic empowerment through the existence of thematic village. The Innov. Soc. Stud. J. 4(1), 01–10 (2022). https://doi.org/10.20527/iis.v4i1.6368
Sulaiman, M.S., Abood, M.M., Sinnakaudan, S.K., Shukor, M.R., You, G.Q., Chung, X.Z.: Assessing and solving multicollinearity in sediment transport prediction models using principal component analysis. ISH J. Hydraul. Eng. 27(sup1), 343–353 (2021). https://doi.org/10.1080/09715010.2019.1653799
Suttisomboon, V., Na-Nakorn, S., Angkavanich, S.: Knowledge and understanding of the principles of economy, society, art and culture of the nation, morality leads society. In: Unit 9, RU 100 Teaching Materials. Bangkok, Ramkhamhaeng University (2001)
Suwanik, S., Chantarat, S., Rittinon, C., Samphantharak, K.: Financial economics of Thai households: Scan (behaviour) through five databases (2017). Retrieved from: https://www.pier.or.th/abridged/2017/13/
Terdpaopong, K., Kraiwanit, T.: The technology readiness of Thai governmental agency. The J. Asian Finan. Econo. Bus. 8(12), 431–441 (2021)
Yang, K.-C., Shih, P.-H.: Cognitive age in technology acceptance: at what age are people ready to adopt and continuously use fashionable products? Telematics Inform. 51, 101400 (2020). https://doi.org/10.1016/j.tele.2020.101400
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Chauhan, S., Singh, A., Rani, I., Raja Kamal, C. (2024). An Empirical Research on Community Businesses in Emerging Markets in the Age of the Internet. In: Khamis, R., Buallay, A. (eds) AI in Business: Opportunities and Limitations. Studies in Systems, Decision and Control, vol 515. Springer, Cham. https://doi.org/10.1007/978-3-031-48479-7_30
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