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Technological Determinants of Economic Efficiency in the Food Manufacturing Industry: An Applied Analysis

Oleksandr BOZHOK et al.

Journal of Applied Economic Sciences2026https://doi.org/10.57017/jaes.v21.2(92).13article
ABDC C
Weight
0.50

What the paper says

This paper examines the impact of innovative technologies on the economic efficiency of food manufacturing enterprises under conditions of market volatility and sustainability pressures. Addressing the lack of empirical evidence in existing literature, the research develops an integrated framework combining technological clustering and econometric modelling.Based on a dataset of 20 technologies (2020–2025), the study estimates β-coefficients for key performance indicators, including return on investment (ROI), cost efficiency, and productivity. The results confirm a strong and statistically significant relationship between technological adoption and economic performance (R² = 0.713). Digital technologies, particularly Machine Vision, Big Data analytics, and Smart Packaging, demonstrate the highest aggregated impact.The findings indicate that optimized technology portfolios can increase ROI by 19–26%, reduce unit costs by up to 18%, and improve labour productivity by approximately 25%. The study contributes a quantitative, multi-criteria framework linking technological innovation with economic efficiency and supporting strategic investment decision-making.Copyright© 2026 The Author(s). This article is distributed under the terms of the license CC-BY 4.0., which permits any further distribution in any medium, provided the original work is properly cited.Article’s History: Received 28th of January, 2025; Revised 4th of March, 2025; Accepted 19th of March, 2025; Available online: 30th of March, 2026. Published as article in the Volume XXI, Spring, Issue 2(92), March, 2026.

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https://doi.org/https://doi.org/10.57017/jaes.v21.2(92).13

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@article{oleksandr2026,
  title        = {{Technological Determinants of Economic Efficiency in the Food Manufacturing Industry: An Applied Analysis}},
  author       = {Oleksandr BOZHOK et al.},
  journal      = {Journal of Applied Economic Sciences},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.57017/jaes.v21.2(92).13},
}

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Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.