Economic-analytical models for diagnosing the productivity of construction development enterprises

Authors

DOI:

https://doi.org/10.32347/2707-501x.2022.49(2).256-264

Keywords:

construction development, operational efficiency, effectiveness, productivity, innovation activity, digitalization of operations, business process, ESG, risk-adjusted metrics

Abstract

The article develops an integrated framework of economic-analytical models for diagnosing the productivity of construction development enterprises, tracing the evolution from index-based and production-function measurements to digitalized, risk-adjusted and ESG-oriented systems. It substantiates that a developer’s productivity is shaped not only by on-site parameters but primarily by the duration and controllability of the entire cycle “land → design/permits → construction → sales/operation,” where capitalization speed and market absorption rate are pivotal. At the theoretical level, it clarifies the continuum “operational efficiency — effectiveness — productivity” and their measurement demarcation: from resource return (output/input) and total factor productivity (TFP) to multi-criteria panels (BSC/MCDA) integrating time, financial, quality, and client-oriented indicators. Methodologically, it outlines the shift from project controlling (EVM, PERT/CPM) and comparative efficiency (DEA/SFA, Malmquist TFP) to BIM-integrated 4D/5D models, process mining of ERP/BIM events, and digital twins enhanced with ML/AI forecasting. The study proposes interpreting productivity as a risk- and ESG-adjusted magnitude that combines “cash-in-time productivity,” schedule/quality variability (robust/CVaR metrics), and carbon-energy indicators (m² per t CO₂e, EBITDA energy intensity). Practical value lies in roadmaps for selecting models across managerial horizons: operational (EVM + Lean KPI), tactical (DES/process-mining for approval and logistics bottlenecks), and strategic (portfolio-level digital twin with scenario-based NPV/IRR and ESG constraints). The results can be applied to standardize productivity management systems in development companies, support early detection of delay risks, and optimize project portfolios considering capital, demand, and regulatory conditions.

References

Porter, M. E. (1980). Competitive strategy: Techniques for analyzing industries and competitors (pp. 1–396). New York, NY: Free Press.

Slack, N., Chambers, S., Johnston, R. (2010). Operations management (6th ed., pp. 1–732). Harlow, UK: Pearson Education.

Hammer, M., & Champy, J. (1993). Reengineering the corporation: A manifesto for business revolution (pp. 1–223). New York, NY: Harper Business.

Weber, M. (1978). Economy and society: An outline of interpretive sociology (pp. 1–1469). Berkeley, CA: University of California Press.

Drucker, P. F. (1954). The practice of management (pp. 1–404). New York, NY: Harper & Row.

Smith, A. (1776/1999). The wealth of nations (Books I–V, pp. 1–1152). London, UK: Penguin Classics.

Solow, R. M. (1957). Technical change and the aggregate production function. The Review of Economics and Statistics, 39(3), 312–320. https://doi.org/10.2307/1926047

Abramovitz, M. (1956). Resource and output trends in the United States since 1870. American Economic Review, 46(2), 5–23.

Marchuk, T., Ryzhakov, D., Ryzhakova, G., & Stetsenko, S. (2017). Identification of the basic elements of the innovationanalytical platform for energy efficiency in project financing. Investment management and financial innovations, 14(4), 12-20. doi:10.21511/imfi.14(4).2017.02

Honcharenko, T., Borodavka, Y., Ryzhakova, G., Ryzhakov, D., Savenko, V., & Polosenko, O. (2021). Method for representing spatial information of topological relations based on a multidimensional data model. ARPN Journal of Engineering and Applied Sciences, 16(7), 802-809.

R. Tormosov, I. Chupryna, G. Ryzhakova, V. Pokolenko, D. Prykhodko and A. Faizullin, "Establishment of the rational economic and analytical basis for projects in different sectors for their integration into the targeted diversified program for sustainable energy development," 2021 IEEE International Conference on Smart Information Systems and Technologies (SIST), Nur-Sultan, Kazakhstan, 2021, pp. 1-9, doi: 10.1109/SIST50301.2021.9465993.

Tetyana Honcharenko, Yuri Chupryna, Iryna Ivakhnenko, Miroslava Zinchenko, Tetiana Tsyfra Reengineering of the Construction Companies Based on BIM-technology International Journal of Emerging Trends in Engineering Research Volume 8. No. 8, August 2020 pp. 4166-4172. SCOPUS Available Online at https://doi.org/10.30534/ijeter/2020/22882020

Biloshchytskyi, A., Kuchansky, A., Andrashko, Y., Omirbayev, S., Mukhatayev, A., Faizullin, A., Toxanov, S.,―Development of the Set Models and a Method to form Information Spaces of Scientific Activity Subjects for the Steady Development of Higher Education Establishments‖, Eastern-European Journal of Enterprise Technologies, 3, pp. 6-14, 2021, http://doi.org/10.15587/1729-4061.2021.233655.

Ryzhakova G., Pokolenko V., Malykhina O., Predun K. Structural Regulation of Methodoloical Management Approaches and Applied Reengineering Tools for Enterprises-Developers in Construction International Journal of Emerging Trends in 8(10), 2020. p.7560-7567.

Andriyiv N., Zachepa A., Petrukha N., Shevchuk I., Berest I. Informational Aspects of Changing the Labor Market of the EU and Ukraine Through COVID-19. International Journal of Computer Science and Network Security, 2021. № 12. Р. 657–663. DOI: https://doi.org/10.22937/IJCSNS.2021.21.12.90

Chupryna, G. Ryzhakova, V. Pokolenko, D. Prykhodko and A. Faizullin, “Establishment of the rational economic and analytical basis for projects in different sectors for their integration into the targeted diversified program for sustainable energy development,” 2021 IEEE International Conference on Smart Information Systems and Technologies (SIST), 2021, pp. 1-9, doi: 10.1109/SIST50301.2021.9465993.

Downloads

Published

2022-04-11

How to Cite

Gergi, D. ., Demchuk, A. ., Koshelnyi, I. ., Buniak, S. ., & Petrenko, O. . (2022). Economic-analytical models for diagnosing the productivity of construction development enterprises. Ways to Improve Construction Efficiency, 2(49), 256–264. https://doi.org/10.32347/2707-501x.2022.49(2).256-264

Issue

Vol. 2 No. 49 (2022): Ways to Improve Construction Efficiency

Section

Papers

License

Creative Commons License

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

Authors who publish with this journal agree to the following terms:

  1. Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
  2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
  3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).