Customized Product Design and Cybersecurity Under a Nash Game-Enabled Dual-Channel Supply Chain Network

Dual-channel retailing empowers the manufacturer to benefit from market opportunities by producing customized items that fulfill client requirements. The manufacturer and retailer sell customized products, which allow customers to express their chosen style to increase both the likelihood of customers making a purchase and their level of satisfaction with the product. This trend is demonstrated by the current study, in which customized consumer items are considered through online and offline channels. On the other hand, cybersecurity has become a crucial aspect of the digital era, ensuring the protection of sensitive data, networks, and systems from cyberattacks and unauthorized access. This study develops with a modern cybersecurity framework to protect against cyberattacks and increase customer trust. This model is based on customized product design, cybersecurity investment, advertisement investment, and increasing the green level of customized products. The model is solved using both centralized policy and vertical Nash policy. Numerical results indicate that centralized profit is 2.37% more than the decentralized profit. Without investing in customized products and cybersecurity, the profit of the supply chain decreases by 2.33% and 1.99% for the centralized method, 1.28% and 1.15% for the vertical Nash method for the retailer, and 1.85% and 1.38% for the vertical Nash method for the manufacturer.

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Publication Details

Journal
Mathematics
Published
2026-01-04
DOI
https://doi.org/10.3390/math14010192
Citations
1
Primary Topic
Product Development and Customization
Type
article
Field-Weighted Citation Impact
66.73
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article

Customized Product Design and Cybersecurity Under a Nash Game-Enabled Dual-Channel Supply Chain Network

Rekha Guchhait, Bikash Koli Dey, Mitali Sarkar, Sarla Pareek et al.
1 citations
Mathematics
Product Development and Customization
66.73
article

Customized Product Design and Cybersecurity Under a Nash Game-Enabled Dual-Channel Supply Chain Network

Rekha Guchhait, Bikash Koli Dey, Mitali Sarkar, Sarla Pareek, Parthasarathi Mandal, Anirban Ganguly
article en
1 citations

Abstract

Dual-channel retailing empowers the manufacturer to benefit from market opportunities by producing customized items that fulfill client requirements. The manufacturer and retailer sell customized products, which allow customers to express their chosen style to increase both the likelihood of customers making a purchase and their level of satisfaction with the product. This trend is demonstrated by the current study, in which customized consumer items are considered through online and offline channels. On the other hand, cybersecurity has become a crucial aspect of the digital era, ensuring the protection of sensitive data, networks, and systems from cyberattacks and unauthorized access. This study develops with a modern cybersecurity framework to protect against cyberattacks and increase customer trust. This model is based on customized product design, cybersecurity investment, advertisement investment, and increasing the green level of customized products. The model is solved using both centralized policy and vertical Nash policy. Numerical results indicate that centralized profit is 2.37% more than the decentralized profit. Without investing in customized products and cybersecurity, the profit of the supply chain decreases by 2.33% and 1.99% for the centralized method, 1.28% and 1.15% for the vertical Nash method for the retailer, and 1.85% and 1.38% for the vertical Nash method for the manufacturer.

MathematicsVol. 14(1)
Banasthali University (IN), SRM Institute of Science and Technology (IN), Sejong University (KR), Joongbu University (KR), O. P. Jindal Global University (IN), Saveetha University (IN)
Openalex Percentile: Top 1%
Product Development and Customization
66.73
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Customized Product Design and Cybersecurity Under a Nash Game-Enabled Dual-Channel Supply Chain Network — Rekha Guchhait, Bikash Koli Dey, et al. · Mathematics (2026) | TGRS Research Map | TGRS