Iterative Signal Processing in Anticipatory Management of Industrial Enterprise Development

Bożena Kamińska

doi:10.34021/ve.2018.01.01(4)

Authors

Bożena Kamińska The Sejm of the Republic of Poland, Warsaw, Poland https://orcid.org/0000-0002-0654-870X

DOI:

https://doi.org/10.34021/ve.2018.01.01(4)

Keywords:

management, development, signal, enterprise, iteration, filter, noise, correction, management decision

Abstract

Anticipatory management plays a critical role in enabling industrial enterprises to respond effectively to both emerging challenges and opportunities in their internal and external environments. Despite advancements in management practices, there is a gap in methods that ensure precise detection and interpretation of signals that indicate potential crises or development opportunities. This paper addresses this gap by proposing an iterative approach for anticipatory management, which enhances signal processing accuracy through a two-stage iteration process that corrects noise in detected signals and establishes a signal response base. This approach is designed to provide the most accurate representation of the original signal and its relevance to the enterprise based on its intensity. The study’s methodology involves an iterative framework that first corrects the noise from detected signals and then evaluates the adjusted signals to establish a response base. This method enables the identification of both maximum and minimum threshold values for the detected signal strength, aiding in the prediction of crisis events and the identification of favourable development conditions. The data utilised for this analysis are derived from real-case scenarios within industrial enterprises, validating the applicability and effectiveness of the iterative process. Results demonstrate that this iterative approach to signal correction and response evaluation is highly effective in distinguishing accurate signals from noise. This allows enterprises to make more informed decisions and enhance their strategic planning, whether for crisis mitigation or seizing developmental opportunities. The principle of iterative signal processing is shown to be universally adaptable for both critical event forecasting and opportunity identification. The discussion highlights the flexibility and applicability of the proposed approach across different industries and environmental conditions. The study concludes that anticipatory management, supported by this iterative approach, enhances an enterprise’s ability to maintain stability and promote growth. Future research should explore the scalability of this approach and its potential integration with advanced data analytics tools to further enhance predictive accuracy and response effectiveness.

Downloads

Download data is not yet available.

References

Ashley, W.C., & Morrison, J.L. (1997). Anticipatory management: tools for better decision making. The Futurist, 31(5), 47–50.

Barinov, V. A., & Kharchenko, V. L. (2006). SWOT-analiz: vzaimosvyazi vnutrennej i vneshnej sredy [SWOT-analysis: interconnections between the internal and external environment]. Strategicheskij menedzhment - Strategic management (pp. 138-143). Moskva: INFRA-M (in Russian).

Berry, A., Sweeting, R., & Holt, R. (2007). Constructing risk management: framing and reflexivity of small firm owner-managers. Proceedings of the 1st European Risk Management Conference, University of Münster, 5–7 September, 1–23.

Cockburn, A. (2008). Using both incremental and iterative development. STSC CrossTalk USAF Software Technology Support Center, 21(5), 27–30.

Guselbaeva, G., & Pachkova, O. (2015). The Estimation of Property and Business in the Anti-Crisis Measures. Procedia Economics and Finance, 27, 501-506. https://doi.org/10.1016/S2212-5671(15)01027-8

Hedouri, F., Albert, M., & Meskon, M. (2007). Osnovy menedzhmenta [Fundamentals of Management]. Moskva: Viliams (in Russian).

Kuzylyak, V., Yakovchuk, R., Samilo, A., Povstyn, O., & Shyshko, V. (2016). Pidkhody do rozroblennia ta pryiniattia upravlinskykh rishen v umovakh nevyznachenosti ta ryzyku [Approaches to the development and adoption of managerial decisions under conditions of uncertainty and risk]. Bulletin of the National University Lviv Polytechnic, 4, 218-224 (in Ukrainian).

Кwilinski, A. (2018). Mechanism of modernization of industrial sphere of industrial enterprise in accordance with requirements of the information economy. Marketing and Management of Innovations, 4, 116-128. http://doi.org/10.21272/mmi.2018.4-11

Larman, C., & Basili V. (2003). Iterative and Incremental Development: A Brief History (PDF). IEEE Computer. IEEE Computer Society, 36(6), 47–56.

Milova, Y.Y., & Chernyshenko, M.S. (2015). Sravnitel'nyj analiz instrumentov kompleksnoj ocenki vneshnej i vnutrennej sredy predpriyatiya [Comparative analysis of integrated assessment tools of enterprise external and internal environment]. Vestnik Irkutskogo gosudarstvennogo tekhnicheskogo universiteta - Herald of the Irkutsk State University, 11(106), 245-251 (in Russian).

Norik, L.O. (2005). Konkurentnyi status pidpryiemstva vyznachennia i formalizatsiia [Competitive status of the enterprise: definition and formalization]. Komunalne hospodarstvo mist, 61, 99-105 (in Ukrainian). Retrieved from https://khg.kname.edu.ua/index.php/khg/article/view/2402/2387

Ognev, D. V., & Chernyshenko, M. S. (2013). Ocenka vneshnej i vnutrennej sredy malyh innovacionnyh predpriyatij na baze uchebnyh organizacij [Evaluation of external and internal environment of the small innovative enterprises based on educational organizations]. Vestnik ekonomicheskoj integracii - Herald of Economic Integration, 11(68), 73-80 (in Russian).

Pająk, K. Kamińska, B., & Kvilinskyi, O. (2016). Modern trends of financial sector development under the virtual regionalization conditions. Financial and Credit Activity: Problems of Theory and Practice 2(21), 204-217. https://doi.org/10.18371/fcaptp.v2i21.91052

Pająk, K., Kvilinskyi, O., Fasiecka, O., & Miśkiewicz, R. (2017). Energy security in regional policy in Wielkopolska region of Poland. Economics and Environment, 2(61), 122-138.

Pamučar, D. S., Božanić, D., & Ranđelović, A. (2017). Multi-criteria decision making: an example of sensitivity analysis. Serbian Journal of Management, 12(1), 1-27. https://doi.org/10.5937/sjm12-9464

Tan, R.R., Aviso, K.B., Cayamanda, C.D., Chiu, A.S.F., Promentilla, M.A.B., Ubando, A.T., & Yu, K.D.S. (2016). A fuzzy linear programming enterprise input–output model for optimal crisis operations in industrial complexes, International Journal of Production Economics, 181, Part B, 410-418. https://doi.org/10.1016/j.ijpe.2015.10.012

Voloshchuk, L. O. (2014). Klasyfikatsiia pidkhodiv ta metodiv formuvannia analitychnykh instrumentiv otsiniuvannia ekonomichnoi bezpeky promyslovoho pidpryiemstva [Classification of approaches and methods of analytical tools for assessing the economic safety of an industrial enterprise]. Economics: Time Realities, 5(15), 224-231 (in Ukrainian).