DECISION-MAKING UNDER COMPLEXITY: APPLYING ELECTRE TO CHANGE MANAGEMENT STRATEGY
Keywords:
Change Management, Decision-Making, ELECTRE Methodology, Risk Assessment, Strategic Evolution, Adaptation Strategy, Process Improvement Management, Organizational Change, Uncertainty, Safety Hazards, Reputation Impact, Multi-Criteria Decision Analysis, Organizational Strategy, Evaluation Parameters, Risk MitigationAbstract
This study applies the ELECTRE methodology to evaluate four change management strategies: Change Facilitation, Strategic Evolution, Adaptation Strategy, and Process Improvement Management. The evaluation considers parameters such as uncertainty, potential disputes, safety hazards, past experiences, reputation impact, and side costs from failure. Findings aim to guide organizations in selecting the most effective change management approach. Research Significance: This research is significant as it provides a structured approach to evaluating change management strategies in organizations. By applying the ELECTRE methodology, it offers insights into how factors like uncertainty, potential disputes, safety risks, and reputation impact influence the accomplishment of change projects. The results help people make better decisions in dynamic business environments. Methodology: The ELECTRE A multi-criteria decision analysis technique called the (Elimination and Choice Expressing Reality) methodology is used to rank options according to a number of criteria. In this study, ELECTRE is applied to assess change management strategies, considering factors like uncertainty, safety hazards, reputation impact, and potential costs, providing a robust framework for decision-making. Alternative: M1 Change Facilitation, M2 Strategic Evolution, M3 Adaptation Strategy, M4 Process Improvement Management Evolution parameter: Uncertainty about final consequences (C1), Possible disputes in future (C2), Safety hazards (C3), Related experiences in the past (C4), The effect on the business's image (C5), incidentals because of the likelihood of failure (C6), Result: The findings of this investigation show that the most appropriate change management strategy varies depending on the specific evaluation parameters. Alternatives such as Change Facilitation and Process Improvement Management offer distinct advantages in reducing risks, uncertainty, and safety concerns, while also considering past experiences and reputation impact for optimal decision-making.
References
Govindan, Kannan, and Martin Brandt Jepsen. "ELECTRE: A comprehensive literature review on methodologies and applications." European Journal of Operational Research 250, no. 1 (2016): 1-29.
Figueira, Jose Rui, Salvatore Greco, Bernard Roy, and Roman Słowiński. "ELECTRE methods: Main features and recent developments." Handbook of multicriteria analysis (2010): 51-89.
Mousseau, Vincent, and Roman Slowinski. "Inferring an ELECTRE TRI model from assignment examples." Journal of global optimization 12 (1998): 157-174.
Ballamudi, S."Performance Analysis of Machine Learning Algorithms in SAP Extended Warehouse Management Using ARAS Methodology" International Journal of Computer Science and Data Engineering., 2025,vol. 2, no. 2, pp. 1-15. doi: https://doi.org/10.55124/csdb.v2i2.246
Ramancha, Nitesh Kumar. "Data-Driven Decision-Making in Supply Chain Optimization." Advances in Computer Sciences, vol. 4, no. 1, 2022, Boffin Access Limited, doi:10.31021/ACS224124
Nagababu. K, “Evolution and Impact of Data Warehousing in Modern Business and Decision Support Systems” International Journal of Computer Science and Data Engineering., 2025, vol. 2, no. 2, pp. 1–11.doi: https://dx.doi.org/10.55124/jdit.v2i1.249
Nagababu. K, “Optimizing Image Processing in OmniView with EDAS Decision-Making” Journal of Business Intelligence and Data Analytics., 2025, vol. 2, no. 2, pp. 1–12.doi: https://dx.doi.org/10.55124/jbid.v2i2.248
Corrente, Salvatore, Salvatore Greco, and Roman Słowiński. "Multiple criteria hierarchy process for ELECTRE Tri methods." European Journal of Operational Research 252, no. 1 (2016): 191-203.
Ballamudi, S. "SAP Transportation Management Implementation Using the MOORA Method" International Journal of Cloud Computing and Supply Chain Management, 2025, vol. 1, no. 2, pp. 1-12. doi: https://doi.org/10.55124/jacr.v1i2.246
Leyva-Lopez, Juan Carlos, and Eduardo Fernandez-Gonzalez. "A new method for group decision support based on ELECTRE III methodology." European journal of operational research 148, no. 1 (2003): 14-27.
Hatami-Marbini, Adel, and MadjidTavana. "An extension of the Electre I method for group decision-making under a fuzzy environment." Omega 39, no. 4 (2011): 373-386.
Buchanan, John, Phil Sheppard, and D. Vanderpoorten. "Ranking projects using the ELECTRE method." In Operational Research Society of New Zealand, Proceedings of the 33rd Annual Conference, vol. 30, pp. 42-51. 1998.
Ramancha, Nitesh Kumar. “Machine Learning Implementation Disparities in Modern Supply Chains: A Performance Analysis Using the EDAS Methodology.” Journal of Computer Science Applications and Information Technology, vol. 7, no. 1, 2022, pp. 1–8. DOI: 10.15226/2474-9257/7/1/001511.
Wang, Xiaoting, and EvangelosTriantaphyllou. "Ranking irregularities when evaluating alternatives by using some ELECTRE methods." Omega 36, no. 1 (2008): 45-63.
Corrente, Salvatore, Salvatore Greco, and Roman Słowiński. "Multiple criteria hierarchy process with ELECTRE and PROMETHEE." Omega 41, no. 5 (2013): 820-846.
Rouyendegh, BabakDaneshvar. "The intuitionistic fuzzy ELECTRE model." International Journal of Management Science and Engineering Management 13, no. 2 (2018): 139-145.
Wu, Ming-Che, and Ting-Yu Chen. "The ELECTRE multicriteria analysis approach based on Atanassov’s intuitionistic fuzzy sets." Expert Systems with Applications 38, no. 10 (2011): 12318-12327.
Ballamudi, S. "Interleaved Feature Extraction Model Bridging Multiple Techniques for Enhanced Object Identification" Journal of Artificial Intelligence and Machine Learning., 2023, vol. 1, no. 2, pp. 1-7. doi: https://doi.org/10.55124/ jbid.v1i2.253
Mary, SA Sahaaya Arul, and G. Suganya. "Multi-criteria decision making using ELECTRE." Circuits and Systems 7, no. 6 (2016): 1008-1020.
Veeresh. D, “AI-Driven Decision Support Systems in ERP” International Journal of Computer Science and Data Engineering., 2025, vol. 2, no. 2, pp. 1–7. doi: http://dx.doi.org/10.55124/csdb.v2i2.248
Dachepalli. V, “A Smarter ERP: How Artificial Intelligence is Reshaping Enterprise Workflows” Journal of Artificial intelligence and Machine Learning., 2024, vol. 2, no. 2, pp. 1–11. doi: http://dx.doi.org/10.55124/jaim.v2i2.265
Ramancha, Nitesh Kumar. "Strategic Evaluation of SAP System Upgrades Using TOPSIS Method: A Comparative Analysis." Journal of Computer Science Applications and Information Technology, vol. 6, no. 2, 2021, pp. 1–10.
Ballamudi, S., “Comparative Analysis of Machine Learning Models for Laptop Price Prediction An Evaluation of Linear Regression, Histogram Gradient Boosting, and XG Boost Approaches” International Journal of Robotics and Machine Learning Technologies., 2025, vol. 1, no. 1, pp. 1–12. doi: https://doi.org/10.55124/jmms.v1i1.234
Dachepalli. V, “Chatbot for ERP User Support Using AI” International Journal of Robotics and Machine Learning Technologies., 2025, vol. 1, no. 1, pp. 1–10. doi: http://dx.doi.org/10.55124/jmms.v1i1.236
DaneshvarRouyendegh, Babak, and Serpil Erol. "Selecting the best project using the fuzzy ELECTRE method." Mathematical Problems in Engineering 2012, no. 1 (2012): 790142.
Chalekaee, Alireza, ZenonasTurskis, Mostafa Khanzadi, GholamrezaGhodratiAmiri, and VioletaKeršulienė. "A new hybrid MCDM model with grey numbers for the construction delay change response problem." Sustainability 11, no. 3 (2019): 776.
By, Rune Todnem. "Organizational change management: A critical review." Journal of change management 5, no. 4 (2005): 369-380.
Rachapalli. V, “Intelligent Resource Allocation in ERP with Machine Learning” Journal of Artificial intelligence and Machine Learning., 2025, vol. 3, no. 2, pp. 1–18. doi: http://dx.doi.org/10.55124/jaim.v3i2.257
Ballamudi, S., “Evaluating IoT Platforms: An Approach Using the COPRAS Method” Journal of Data Science and Information Technology., 2025, vol. 2, no. 1, pp. 55–65. doi: https://doi.org/10.55124/jdit.v2i1.243
Rachapalli. V, “An Aras-Based Evaluation of Ai Applications for Demand Forecasting and Inventory Management in Supply Chains” International Journal of Cloud Computing and Supply Chain Management., 2025, vol. 1, no. 2, pp. 1–11. doi: http://dx.doi.org/10.55124/jacr.v1i2.239
Nagababu. K, “Innovative Fabrication of Advanced Robots Using the Waspas Method A New Era in Robotics Engineering” International Journal of Robotics and Machine Learning Technologies., 2025, vol. 1, no. 1, pp. 1–12. doi: http://dx.doi.org/10.55124/jmms.v1i1.235
Nagababu. K, “Machine Learning Approaches to Predict Tensile Strength in Nanocomposite Materials a Comparative Analysis” Journal of Artificial intelligence and Machine Learning., 2024, vol. 2, no. 1, pp. 1–16. doi: http://dx.doi.org/10.55124/jaim.v2i1.255
Oakland, John S., and Stephen Tanner. "Successful change management." Total quality management & business excellence 18, no. 1-2 (2007): 1-19.
Campbell, Robert James. "Change management in health care." The health care manager 27, no. 1 (2008): 23-39.
Ballamudi, S. "Interleaved Feature Extraction Model Bridging Multiple Techniques for Enhanced Object Identification" Journal of Artificial Intelligence and Machine Learning., 2023, vol. 1, no. 2, pp. 1-7. doi: https://doi.org/10.55124/jbid.v1i2.253
Tan, C. C. "The theory and practice of change management." Asian Business & Management 5, no. 1 (2006): 153-155.
Dachepalli. V, “OPTIMIZED CLOUD SECURITY ECC-ENHANCED HOMOMORPHIC PAILLIER RE-ENCRYPTION” International Journal of Interpreting Enigma Engineers (IJIEE)., 2024, vol. 1, no. 2, pp. 1–7. doi: https://doi.org/10.62674/ijiee.2024.v1i02.001
Ramancha, Nitesh Kumar. "Optimizing Supply Chain Efficiency Using Machine Learning with ARAS Methodology." Journal of Artificial Intelligence and Machine Learning, vol. 1, no. 2, 2025, www.sciforce.org, http://dx.doi.org/10.55124/jdit.v1i2.261
Dachepalli. V, “DATA ANALYSIS FOR STUDENTS BASED ON GEOLOCATION APPROACH” International Journal of Interpreting Enigma Engineers (IJIEE)., 2024, vol. 1, no. 3, pp. 33–41. doi: https://doi.org/10.62674/ijiee.2024.v1i03.005
Sirkin, Harold L., Perry Keenan, and Alan Jackson. "The hard side of change management." Harvard business review 83, no. 10 (2005): 108.
Diefenbach, Thomas. "The managerialistic ideology of organisational change management." Journal of organizational change management 20, no. 1 (2007): 126-144.
Kramer, Jeff, and Jeff Magee. "The evolving philosophers problem: Dynamic change management." IEEE Transactions on software engineering 16, no. 11 (1990): 1293-1306.
Errida, Abdelouahab, and BouchraLotfi. "The determinants of organizational change management success: Literature review and case study." International Journal of Engineering Business Management 13 (2021): 18479790211016273.
Ramancha, Nitesh Kumar. "Optimizing Decision-Making in ExxonMobil Global Services Co. through the TOPSIS Method."Journal of Data Science and Information Technology, vol. 2, no. 1, 2025, http://dx.doi.org/10.55124/jdit.v2i1.249.
Hornstein, Henry A. "The integration of project management and organizational change management is now a necessity." International journal of project management 33, no. 2 (2015): 291-298.
Ibbs, C. William, Clarence K. Wong, and Young HoonKwak. "Project change management system." Journal of management in engineering 17, no. 3 (2001): 159-165.
Ibbs, C. William, Clarence K. Wong, and Young HoonKwak. "Project change management system." Journal of management in engineering 17, no. 3 (2001): 159-165.
Mittapally. R, “Optimizing Business Intelligence Solutions: A TOPSIS-based Assessment of Micro Strategy Implementation Alternatives” Journal of Business Intelligence and Data
Analytics., 2025, vol. 2, no. 1, pp. 1–14. doi: https://dx.doi.org/10.55124/jbid.v2i1.237
Mittapally. R, “Security First: Evaluating Cloud Services for Data Protection and Compliance” International Journal of Computer Science and Data Engineering., Int. J. of. Comp. Sci. and Data Eng.2025, 2, 51-59. doi: https://dx.doi.org/10.55124/csdb.v1i1.240
Balogun, Julia, and Mark Jenkins. "Re-conceiving change management: A knowledge-based perspective." European management journal 21, no. 2 (2003): 247-257.
Matos Marques Simoes, Paula, and Mark Esposito. "Improving change management: How communication nature influences resistance to change." Journal of Management Development 33, no. 4
(2014): 324-341.
Aladwani, Adel M. "Change management strategies for successful ERP implementation." Business Process management journal 7, no. 3 (2001): 266-275.
Sturdy, Andrew, and Christopher Grey. "Beneath and beyond organizational change management: Exploring alternatives." Organization 10, no. 4 (2003): 651-662.
Rouibah, Kamel, and Kevin R. Caskey. "Change management in concurrent engineering from a parameter perspective." Computers in industry 50, no. 1 (2003): 15-34.
Mittapally. R, “Predictive Modeling of Surface Roughness in Manufacturing A Study Using Multiple Machine Learning Techniques” International Journal of Robotics and Machine Learning Technologies., 2025, vol. 1, no. 1, pp. 19–33. doi: https://dx.doi.org/10.55124/jmms.v1i1.237
Alqatawenh, AymnSulieman. "Transformational leadership style and its relationship with change management." Verslas: teorijairpraktika 19, no. 1 (2018): 17-24.