American Journal of Business and Operations Research

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https://doi.org/10.54216/AJBOR

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2692-2967ISSN (Online) 2770-0216ISSN (Print)

Volume 12 , Issue 1 , PP: 67-81, 2025 | Cite this article as | XML | Html | PDF | Full Length Article

Assessing the Impact of Key Marketing Variables on the Diffusion and Commercial Success of Technological Innovations

Ilknur Ozturk 1 *

  • 1 Faculty of Economics, Administrative and Social Sciences, Nisantasi University, Istanbul, Turkey - (ilknur.ozturk@nisantasi.edu.tr)
  • Doi: https://doi.org/10.54216/AJBOR.120107

    Received: June 16, 2024 Revised: September 25, 2024 Accepted: December 11, 2024
    Abstract

    An all-inclusive profit-maximizing methodology for optimising the cost of selling and warranties term of technical improvements is presented in this research. In order to reduce warranty expenses and maximise product dependability, the model combines preventative maintenance tactics. To predict consumer actions, we use a two-dimensional diffusion of innovations framework that accounts for the impact of pricing and time on uptake rates. The distribution calculated by Weibull is used to simulate breakdown rates, taking into consideration the effect of routine upkeep on lowering the cost of repairs and systems deterioration. While making sure that supply and demand are met, profit management incorporates important cost factors such as manufacturing costs, structural expenses, costs for warranties, and servicing charges. To help manufactures maximise profits, the suggested methodology offers an ordered approach to determining the appropriate guarantee periods and marketplace prices. Validating the theory's practicality and demonstrating large profit benefits via optimum decision-making are computational optimisation methods and instances, such as repaired semiconductors. Variables like as warranties duration as well as service level have a significant influence on economic viability, as shown by sensitivity analysis. Organisations seeking to increase customer happiness, guarantee fiscal viability, and gain edge over competitors in ever-changing marketplaces might find useful insights in the profit maximisation approach, which combines sales methods with technological dependability approaches. The accuracy of Profit Maximisation Model approach is far much higher that of LR, DT, and RF by a margin of around 96.5%. This work suggests that the proposed approach improves the conventional algorithms with respect to prediction accuracy and error minimisation. This is true as evidenced by its exceptional performance on different parameters to demonstrate its reliability and coherence in delivering excellent results.

    Keywords :

    LR , RF , DT , Profit Maximisation Model , MDP , ROA , GA

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    Cite This Article As :
    Ozturk, Ilknur. Assessing the Impact of Key Marketing Variables on the Diffusion and Commercial Success of Technological Innovations. American Journal of Business and Operations Research, vol. , no. , 2025, pp. 67-81. DOI: https://doi.org/10.54216/AJBOR.120107
    Ozturk, I. (2025). Assessing the Impact of Key Marketing Variables on the Diffusion and Commercial Success of Technological Innovations. American Journal of Business and Operations Research, (), 67-81. DOI: https://doi.org/10.54216/AJBOR.120107
    Ozturk, Ilknur. Assessing the Impact of Key Marketing Variables on the Diffusion and Commercial Success of Technological Innovations. American Journal of Business and Operations Research , no. (2025): 67-81. DOI: https://doi.org/10.54216/AJBOR.120107
    Ozturk, I. (2025) . Assessing the Impact of Key Marketing Variables on the Diffusion and Commercial Success of Technological Innovations. American Journal of Business and Operations Research , () , 67-81 . DOI: https://doi.org/10.54216/AJBOR.120107
    Ozturk I. [2025]. Assessing the Impact of Key Marketing Variables on the Diffusion and Commercial Success of Technological Innovations. American Journal of Business and Operations Research. (): 67-81. DOI: https://doi.org/10.54216/AJBOR.120107
    Ozturk, I. "Assessing the Impact of Key Marketing Variables on the Diffusion and Commercial Success of Technological Innovations," American Journal of Business and Operations Research, vol. , no. , pp. 67-81, 2025. DOI: https://doi.org/10.54216/AJBOR.120107