Projects financed through the regional program influences on the economic performance of the enterprises in the field of specialized professional services

Ionela Gavrila-Paven, Dorin Wainberg, Nicolae Moroianu

Article ID: 4584
Vol 8, Issue 7, 2024

VIEWS - 927 (Abstract)

Abstract


The research is focused on the evolution of the enterprises, in the field of specialized professional services, medium-period, enterprises that implemented projects financed within Regional Operational Program (ROP) during the 2007–2013 financial programming period. The analysis of the economic performance of the micro-enterprises corresponds to general objectives, but there can be outlined connections between these performances and other economic indicators that were not considered or followed through the financing program. The study case is focused on the development of micro-enterprises in the services area, in the Central Region, Romania (one of the eight development regions in Romania). The scientific approach for this article was based on a regressive statistical analysis. The analysis included the economic parameters for the enterprises selected, comparing the economic efficiency of these enterprises, during implementation with the economic efficiency after the implementation of the projects, during medium periods, including the sustainability period. The purpose of the research was to analyse the economic efficiency of the selected micro-enterprises, after finalizing the projects’ implementation. The authors intend to point out the need for a managerial instrument based on the economic efficiency of companies that are benefiting from non-reimbursable funds. This instrument should be taken into consideration in planning regional development at the national level, regarding the conditions and results expected. Although the authors used regressive statistical analysis the purpose was to prove that there is a need for additional managerial instruments when the financial allocations are being designed at the regional level. This study follows the interest of the authors in proving that the efficiency of non-reimbursable funds should be analysed distinctively on the activity sectors.


Keywords


regional sustainable development; economic efficiency; econometric model; project management; informational system

Full Text:

PDF


References


Altuntas, S., Cinar, O., & Kaynak, S. (2018). Relationships among advanced manufacturing technology, innovation, export, and firm performance. Kybernetes, 47(9), 1836–1856. https://doi.org/10.1108/k-10-2017-0380 Andrei, J. V., Chivu, L., Gogonea, R.-M., et al. (2021). Business demography and economic growth: Similarities and disparities in 10 European union countries. Journal of Business Economics and Management, 22(5), 1160–1188. https://doi.org/10.3846/jbem.2021.15067 Anggadwita, G., & Mustafid, Q. Y. (2014). Identification of Factors Influencing the Performance of Small Medium Enterprises (SMEs). Procedia - Social and Behavioral Sciences, 115, 415–423. https://doi.org/10.1016/j.sbspro.2014.02.448 Battistella, C., & De Toni, A. F. (2011). A methodology of technological foresight: A proposal and field study. Technological Forecasting and Social Change, 78(6), 1029–1048. https://doi.org/10.1016/j.techfore.2011.01.006 Bolaños, A. B. (2017). Are South American Countries Really Converging? The Influence of The Region’s Integration Projects. Romanian Journal of Economic Forecasting, XX(3), 130-149. Bratkovič Kregar, T., & Antončič, B. (2016). The relationship between the entrepreneur’s personal network multiplexity and firm growth. Economic Research-Ekonomska Istraživanja, 29(1), 1126–1135. https://doi.org/10.1080/1331677x.2016.1211947 Calantone, R., Garcia, R., & Dröge, C. (2003). The Effects of Environmental Turbulence on New Product Development Strategy Planning. Journal of Product Innovation Management, 20(2), 90–103. Portico. https://doi.org/10.1111/1540-5885.2002003 Chen, W., & Quan-Haase, A. (2018). Big Data Ethics and Politics: Toward New Understandings. Social Science Computer Review, 38(1), 3–9. https://doi.org/10.1177/0894439318810734 Cicea, C., Popa, I., Marinescu, C., et al. (2019). Determinants of SMEs’ performance: evidence from European countries. Economic Research-Ekonomska Istraživanja, 32(1), 1602–1620. https://doi.org/10.1080/1331677x.2019.1636699 Coyne, E. M., Coyne, J. G., & Walker, K. B. (2018). Big Data information governance by accountants. International Journal of Accounting & Information Management, 26(1), 153–170. https://doi.org/10.1108/ijaim-01-2017-0006 De Toni, A., & Nassimbeni, G. (2003). Small and medium district enterprises and the new product development challenge. International Journal of Operations & Production Management, 23(6), 678–697. https://doi.org/10.1108/01443570310476672 de Vaan, M. (2014). Interfirm networks in periods of technological turbulence and stability. Research Policy, 43(10), 1666–1680. https://doi.org/10.1016/j.respol.2014.07.007 Doneva, R., & Gaftandzhieva, S. (2022). Adoption of Digital Business Solutions: Designing and Monitoring Critical Success Factors. Electronics, 11(21), 3494. https://doi.org/10.3390/electronics11213494 Fernández, P., Luisa Del Río, M., Varela, J., et al. (2010). Relationships among functional units and new product performance: The moderating effect of technological turbulence. Technovation, 30(5–6), 310–321. https://doi.org/10.1016/j.technovation.2009.09.003 Grander, G., Da Silva, L. F., Gonzalez, E. D. R. S., et al. (2022). Framework for Structuring Big Data Projects. Electronics, 11(21), 3540. https://doi.org/10.3390/electronics11213540 Grander, G., da Silva, L. F., & Santibañez Gonzalez, E. D. R. (2021). Big data as a value generator in decision support systems: a literature review. Revista de Gestão, 28(3), 205–222. https://doi.org/10.1108/rege-03-2020-0014 Grando, A., & Belvedere, V. (2006). District’s manufacturing performances: A comparison among large, small-to-medium-sized and district enterprises. International Journal of Production Economics, 104(1), 85–99. https://doi.org/10.1016/j.ijpe.2005.01.007 Gupta, V. K., & Batra, S. (2016). Entrepreneurial orientation and firm performance in Indian SMEs: Universal and contingency perspectives. International Small Business Journal: Researching Entrepreneurship, 34(5), 660–682. https://doi.org/10.1177/0266242615577708 Huerta, E., & Jensen, S. (2017). An Accounting Information Systems Perspective on Data Analytics and Big Data. Journal of Information Systems, 31(3), 101–114. https://doi.org/10.2308/isys-51799 Hung, K.-P., & Chou, C. (2013). The impact of open innovation on firm performance: The moderating effects of internal R&D and environmental turbulence. Technovation, 33(10–11), 368–380. https://doi.org/10.1016/j.technovation.2013.06.006 Iacob, S. E., Mihai, M., Marcela, Ș., Ioan, R. P. (2019). Significant Interdependencies of the Services Sector in the Romanian Economy: An Analytical Examination. Economic Computation and Economic Cybernetics Studies and Research, 53(4/2019), 143–158. https://doi.org/10.24818/18423264/53.4.19.09 Ibinceanu Onica, M. C., Cristache, N., Dobrea, R. C., Florescu, M. (2021). Regional Development in Romania: Empirical Evidence Regarding the Factors for Measuring a Prosperous and Sustainable Economy. Sustainability, 13(7), 3942. https://doi.org/10.3390/su13073942 Junfeng, R., Yechi, M., Farmanesh, P., et al. (2022). Managing transitions for sustainable economic development in post-COVID world: do fiscal and monetary support matter? Economic Research-Ekonomska Istraživanja, 35(1), 5420–5433. https://doi.org/10.1080/1331677x.2022.2028176 Kasych, A., & Vochozka, М. (2017). Theoretical and methodical principles of managing enterprise sustainable development. Marketing and Management of Innovations, 2, 298–305. https://doi.org/10.21272/mmi.2017.2-28 Karimi, J., Somers, T. M., & Bhattacherjee, A. (2007). The Role of Information Systems Resources in ERP Capability Building and Business Process Outcomes. Journal of Management Information Systems, 24(2), 221–260. https://doi.org/10.2753/mis0742-1222240209 Kersan-Škabić, I., & Tijanić, L. (2017). Regional absorption capacity of EU funds. Economic Research-Ekonomska Istraživanja, 30(1), 1191–1208. https://doi.org/10.1080/1331677x.2017.1340174 Kim, S.-B., & Kim, D. (2020). ICT Implementation and Its Effect on Public Organizations: The Case of Digital Customs and Risk Management in Korea. Sustainability, 12(8), 3421. https://doi.org/10.3390/su12083421 Krželj Čolović, Z., Milić Beran, I., & Vrdoljak Raguž, I. (2016). The impact of clustering on the business performance of Croatian SMHEs. Economic Research-Ekonomska Istraživanja, 29(1), 904–913. https://doi.org/10.1080/1331677x.2016.1204101 Lien, Y.-C., & Li, S. (2013). Professionalization of Family Business and Performance Effect. Family Business Review, 27(4), 346–364. https://doi.org/10.1177/0894486513482971 Marsudi, A. S., & Pambudi, R. (2021). The Effect of Enterprise Resource Planning (ERP) on Performance with Information Technology Capability as Moderating Variable. Journal of Economics, Business, & Accountancy Ventura, 24(1), 1–11. https://doi.org/10.14414/jebav.v24i1.2066 Negrea, A., Ciobanu, G., Dobrea, R. C., Burcea, S. t. (2019). Priority Aspects in The Evolution of The Digital Economy for Building New Development Policies. Quality-Access to Success, 20(S2), 416-421. Pickard, M. D., & Cokins, G. (2015). From Bean Counters to Bean Growers: Accountants as Data Analysts—A Customer Profitability Example. Journal of Information Systems, 29(3), 151–164. https://doi.org/10.2308/isys-51180 Rehman, M. A., Shah S. G. M., Cioca L. I., Artene A. (2021) Accentuating the Impacts of Political News on the Stock Price. Romanian Journal of Economic Forecasting, 24(2), 55-73. Sheehan, M. (2013). Human resource management and performance: Evidence from small and medium-sized firms. International Small Business Journal: Researching Entrepreneurship, 32(5), 545–570. https://doi.org/10.1177/0266242612465454 Starbek M., & Grum J. (2002). Concurrent engineering in small companies. International Journal of Machine Tools and Manufacture, 42(3). Tang, L., Li, J., Du, H., et al. (2022). Big Data in Forecasting Research: A Literature Review. Big Data Research, 27, 100289. https://doi.org/10.1016/j.bdr.2021.100289 Vărzaru, A. A. (2022). An Empirical Framework for Assessing the Digital Technologies Users’ Acceptance in Project Management. Electronics, 11(23), 3872. https://doi.org/10.3390/electronics11233872 Vochozka, M., & Psárska, M. (2016). Factors supporting growth of added value, performance and competitiveness of SMEs and selected EU countries. Innovation Management Entrepreneurship and Corporate Sustainability. Welch, E. W., & Pandey, S. K. (2006). E-Government and Bureaucracy: Toward a Better Understanding of Intranet Implementation and Its Effect on Red Tape. Journal of Public Administration Research and Theory, 17(3), 379–404. https://doi.org/10.1093/jopart/mul013 Welch, E. W., & Feeney, M. K. (2014). Technology in government: How organizational culture mediates information and communication technology outcomes. Government Information Quarterly, 31(4), 506–512. https://doi.org/10.1016/j.giq.2014.07.006 Wijaya, M. I., -, S., & Utomo, D. (2021). Enterprise Resource Planning Modification: A Literature Review. ComTech: Computer, Mathematics and Engineering Applications, 12(1), 33–43. https://doi.org/10.21512/comtech.v12i1.6610 Wolff, J. A., & Pett, T. L. (2006). Small-firm performance: Modeling the role of product and process improvements. Journal of Small Business Management, 44(2), 268–284. https://doi:10.1111/j. 1540-627X.2006.00167.x Zimon, G. (2018). Influence of group purchasing organizations on financial situation of Polish SMEs. Oeconomia Copernicana, 9(1), 87–104. https://doi.org/10.24136/oc.2018.005



DOI: https://doi.org/10.24294/jipd.v8i7.4584

Refbacks

  • There are currently no refbacks.


Copyright (c) 2024 Ionela Gavrila-Paven, Dorin Wainberg, Nicolae Moroianu

License URL: https://creativecommons.org/licenses/by/4.0/

This site is licensed under a Creative Commons Attribution 4.0 International License.