Kaun Banega crorepati Simulation

May 2022
Vol-8, Issue-3
Paper ID: 17105
ISSN: 2395-4396
Downloads: 0

Abstract & Details

Research Area
Computer Engineering
Keywords
Kaun Banega Crorepati Game KBC
Abstract
Success of a television game show requires brand-building effort and brand value management like any other product. However, aspects of information, entertainment, novelty, instant gratification, and experience dimensions are more salient in game shows. This has been amply proven by the television game show Who Wants To Be A Millionaire. The purpose of this research is to explore why some entertainment products succeed, while others fail. Design/methodology/approach – In this paper, we present the system dynamic model of brand management of the game show Kaun Banega Crorepati (KBC), the Indian version of Who Wants To Be A Millionaire. Initially, we present the reference mode behaviour, drawn from published data. In the dynamic model, we include factors such as channel popularity, host popularity, prize money, and competition that work towards building the viewership and influencing operational revenues. Computer-based simulation and experimentalism are then applied as a research method to the model to explore its dynamic behaviour. Findings – Our analysis shows that the right mix of host popularity, channel popularity and prize money has enabled KBC to achieve unprecedented success. Research limitations/implications – Validation of the model is based on the strength that the simulation results can replicate the reference mode behaviour and produce behaviour expected under extreme conditions. The validated model is used to draw what-if scenarios, some of which resemble the experiences of competing game shows. Originality/value – Understanding the dynamics of brand management of this game show can serve as an important tool for brand management of entertainment products. Further, the use of system dynamics for dynamic modelling of brand value has application in broader areas of marketing, and would be of interest to a wide managerial audience.

Author Information

# Name Institute / Affiliation
1 Sakshi Naresh Kashid Marathwada Mitra Mandal's Polytechnic Thergaon Pune:-411033
2 Sanika Kiran Ghodekar Marathwada Mitra Mandal's Polytechnic Thergaon Pune:-411033

How to Cite

Use the following formats to cite this article in your research.

APA Style
Kashid, Sakshi Naresh & Ghodekar, Sanika Kiran (2022). Kaun Banega crorepati Simulation. International Journal of Advance Research and Innovative Ideas In Education, 8(3), 2880-2885.
MLA Style
Kashid, Sakshi Naresh, and Sanika Kiran Ghodekar. "Kaun Banega crorepati Simulation." International Journal of Advance Research and Innovative Ideas In Education, vol. 8, no. 3, 2022, pp. 2880-2885.
IEEE Style
Sakshi Naresh Kashid and Sanika Kiran Ghodekar, "Kaun Banega crorepati Simulation," International Journal of Advance Research and Innovative Ideas In Education, vol. 8, no. 3, pp. 2880-2885, 2022.
Vancouver Style
Kashid Sakshi Naresh, Ghodekar Sanika Kiran. Kaun Banega crorepati Simulation. International Journal of Advance Research and Innovative Ideas In Education. 2022;8(3):2880-2885.
Harvard Style
Kashid, Sakshi Naresh & Ghodekar, Sanika Kiran (2022) 'Kaun Banega crorepati Simulation', International Journal of Advance Research and Innovative Ideas In Education, 8(3), pp. 2880-2885.
Chicago Style
Kashid, Sakshi Naresh and Sanika Kiran Ghodekar. "Kaun Banega crorepati Simulation." International Journal of Advance Research and Innovative Ideas In Education 8, no. 3 (2022): 2880-2885.
Turabian Style
Kashid, Sakshi Naresh and Sanika Kiran Ghodekar. "Kaun Banega crorepati Simulation." International Journal of Advance Research and Innovative Ideas In Education 8, no. 3 (2022): 2880-2885.

Export Citation

Related Research

A Deep Learning-Based Framework for Mood-Oriented Music Recommendation Using Facial Expression Analysis
Vaibhav Ashok Bhangare et al. 2026 Computer Engineering
PDF Unavailable
Survey On : Intelligent Payroll and Human Resource Management Systems: A Systematic Review of Automation, Security, and Analytics
Vishakha Jadhav et al. 2026 Human Resource Management, Artificial Intelligence, Machine Learning, Payroll Systems, Cybersecurity, Business Intelligence, Robotic Process Automation, Employee Analytics, Digital Transforma
PDF Unavailable
Civic Engagement & Empowerment Platform
Supriya Dadaso Bankar et al. 2026 Computer engineering
PDF Unavailable
RAG System Development with Pydantic AI ChromaDB & Groq
Prof. Priyanka P. Kakade et al. 2026 Computer Engineering
PDF Unavailable
Machine Learning Based Early Stage Diabetes Detection System
Rohan Mulik et al. 2026 Computer Engineering
PDF Unavailable
A Survey on Skillsense:AI Career Analyzer App
Kirti Datir et al. 2026 Computer Engineering
PDF Unavailable
Employee Performance Portal
P.Harika et al. 2026 Computer science and engineering
PDF Unavailable