Iranian Journal of Information Processing and Management

Iranian Journal of Information Processing and Management

Pricing Analysis of Similarity Detection Services: A Game Theory Approach

Document Type : Original Article

Author
e-Business Research Group, Information Technology Research Department, Iranian Research Institute for Information Science and Technology (IranDoc), Tehran, Iran
Abstract
The Iranian Research Institute for Information Science and Technology (IranDoc) aims to commercialize its research achievements and maintain user satisfaction with its system services. One of these systems is Hamanandjoo, which assesses the similarity of research reports from universities across the country. The various service markets of this system are divided into two main categories: the exclusive market, including proposals, theses, and dissertations, and the multipolar market of journals. The goal of this research is to present a pricing model for the Hamanandjoo system using game theory. In this regard, the potential demand and the importance of competitors in each market are identified, and appropriate pricing strategies for each market are determined. These strategies should be designed in such a way that considering the competitive advantage of the system, the achievable market share is in an optimal state, and ultimately, the profit from the system’s services is maximized. The demand for services is a function of potential demand and service prices, such that with an increase in price the demand for services will decrease, and in the multipolar market, it will also depend on competitors’ prices, so that with an increase in competitors’ prices, the demand for services will increase. The type of competition considered in various exclusive and multipolar markets, given the equal decision-making power of the players is simultaneous competition (Nash equilibrium). In this research, a mathematical model for the players is considered, and the unique Nash equilibrium point is obtained by accurately estimating the parameters of the mathematical model. One of the most important results of this research is the impact of increasing potential demand and the price elasticity coefficient on increasing profit and demand, such that with an increase in potential demand, both the price and the final profit of the system increase and on the other hand, with an increase in the price elasticity coefficient, the final profit of the system and the service prices decrease. In other words, with a more competitive market, the price of providing services will decrease. These findings highlight the importance of considering market factors and competitors in determining pricing strategies for software services.
Keywords
Subjects

فهرست منابع
جعفری، حامد. 1402. رویکرد نظریه بازی برای قیمت‌گذاری یک محصول ساخته‌شده از ضایعات پلاستیکی. تصمیم‌گیری و تحقیق در عملیات 8 (2): 463-477.
نعیمی صدیق،‌ علی، و آرمان ساجدی‌نژاد. 1397. ‌طراحی مدل کسب‌‌وکار و‌ قیمت‌گذاری خدمات همانندجو با استفاده از نظریه بازی. تهران: پژوهشگاه علوم و فناوری اطلاعات ایران.
نعیمی صدیق علی، و سمیه فتاحی. 1399. هماهنگی تصمیم‌های قیمت‌گذاری و بازاریابی محصول جدید با استفاده از نظریه بازی. فصلنامه پژوهشنامه بازرگانی 94: 1-26.
References
Ahmadi-Javid, A., & P. Hoseinpour. 2012. On a cooperative advertising model for a supply chain with one manufacturer and one retailer. European Journal of Operational Rsearch 219 (2): 458-466.
Alaei, S., R. Alaei, & P. Salimi. 2014. A game theoretical study of cooperative advertising in a single-manufacturer-two-retailers supply chain. The International Journal of Advanced Manufacturing Technology 74 (1-4): 101-111.
Ang, J., M. Fukushima, F. Meng, T. Noda, & J. Sun. 2013. Establishing Nash equilibrium of the manufacturer–supplier game in supply chain management. Journal of Global Optimization 56 (4): 1297-1312.
Dai, T., & X. Qi. 2007. An acquisition policy for a multi-supplier system with a finite-time horizon. Computers and Operations Research 34: 2758-2773.
Du, P., J. M. Framinan, & H. Chen. 2024. Understanding after-market service channel selection for complex product-services supply chains: A game-theoretical approach. Computers & Industrial Engineering 197: 110630.
Gu, T., W. Xu, H. Liang, Q. He, & N. Zheng. 2024. School bus transport service strategies’ policy-making mechanism – An evolutionary game approach. Transportation Research Part A: Policy and Practice, 182, 104014.
Hsieh, C. C., Y. L. Chang, & C. H. Wu. 2014. Competitive pricing and ordering decisions in a multiple-channel supply chain. International Journal of Production Economics 154: 156-165.
Hu, Y., Y. Guan, & T. Liu. 2011. Lead-time hedging and coordination between manufacturing and sales departments using Nash and Stackelberg games. European Journal of Operational Research 210: 231-240.
Huang, Y., G. Q. Huang, & S. T. Newman. 2011. Coordinating pricing and inventory decisions in a multi-level supply chain: A game-theoretic approach. Transportation Research Part E, 47; 115–129.
Jalali Naini, S. G., A. R. Aliahmadi, & M. Jafari-Eskandari. 2011. Designing a mixed performance measurement system for environmental supply chain management using evolutionary game theory and balanced scorecard: A case study of an auto industry supply chain. Resources, Conservation and Recycling 55: 593-603.
Lee, W. J., & D. Kim. 1993. Optimal and heuristic decision strategies for integrated product and marketing planning. Decision Sciences 24 (6): 1203– 1213.
Lv. S., A. Xiao, Y. Qin, Z. Xu, & X. Wang. 2024. A decision framework for improving the service quality of charging stations based on online reviews and evolutionary game theory. Transportation Research Part A: Policy and Practice, 187, 104168.
Mozafari, M., A. Naimi-Sadigh, & A. H. Seddighi. 2021. Possibilistic cooperative advertising and pricing games for a two-echelon supply chain. Soft Computing 25: 6957–6971.
Naimi-Sadigh, A., S. K. Chaharsooghi, & M. Mozafari. 2021. Optimal pricing and advertising decisions with suppliers’ oligopoly competition: Stakelberg-Nash game structures. Journal of Industrial and Management Optimization 17 (3): 1423-1450.
Namdarian, L., & A. Naimi-Sadigh. 2018. Barriers to commercialization of research findings in humanities in Iran. Interdisciplinary Journal of Management Studies 11 (3): 487-518.
Rajabi, N., M. Mozafari, & A. Naimi-Sadigh. 2021. Bi-level pricing and inventory strategies for perishable products in a competitive supply chain. RAIRO-Operations Research 55 (4): 2395-2412.
 Sajadieh, M., & M. Akbari Jokar. 2009. Optimizing shipment, ordering and pricing policies in a two-stage supply chain with price-sensitive demand. Transportation Research Part E, 45, 564–571.
Sayadi, M. K., & A. Makui. 2014. Feedback Nash Equilibrium for Dynamic Brand and Channel Advertising in Dual Channel Supply Chain. Journal of Optimization Theory and Applications 161 (3): 1012-1021.
Tan, W. K., & P. H., Chio. 2024. Theory of consumption value: A lens to examine the use and continual use intention of online game subscription services. Computers in Human Behavior 160: 160377.
Soleimani, F., A. Arshadi Khamseh, & B. Naderi. 2016. Optimal decisions in a dual-channel supply chain under simultaneous demand and production cost disruptions. Annals of Operations Research, 243: 301–321.
Vahedi, Z., S. J. S. M. Chabok, & G. Veisi. 2023. Improving the quality of service indices of task allocation in mobile crowd sensing with fuzzy-based inverse stackelberg game theory. Intelligent Systems with Applications, 20: 200291.
Xie, J. A. Neyret. 2009. Co-Op Advertising and Pricing Models in Manufacturer-Retailer Supply Chains. Computers & Industrial Engineering 56: 1375-1385.
Yue, D., C. Xiuli, F. Shu-Cherng, & H. L.W. Nuttle. 2006. Pricing in revenue management for multiple firms competing for customers, International Journal of Production Economics, 98 (1); 1-16.
on Economics, 98 (1); 1-16.

  • Receive Date 05 October 2024
  • Revise Date 30 December 2024
  • Accept Date 12 January 2025