Presenting an Advertising Policy Model Based on the Application of Eye Tracking

Authors

    Seyyed Hamid Mir Motahari Department of Business Management, Central Tehran Branch, Islamic Azad University, Tehran, Iran
    Sina Nematizadeh * Department of Business Management, Central Tehran Branch, Islamic Azad University, Tehran, Iran sin.Nematizadeh@iauctb.ac.ir
    Seyyed Abbas Heydari Department of Business Management, Central Tehran Branch, Islamic Azad University, Tehran, Iran

Keywords:

policy, advertising, application of eye tracking

Abstract

The present study was conducted with the aim of developing a model for advertising policy based on the application of eye tracking. The research method was qualitative and grounded in data theory. Semi-structured interviews were used for data collection, and data analysis was carried out using Strauss and Corbin’s method and the paradigm model. Sampling was conducted through theoretical sampling and utilized purposive (judgmental) techniques, based on which 15 interviews with marketing and advertising managers and experts were conducted. The results of analyzing the data obtained from the interviews, through the process of open, axial, and selective coding, led to the development of an advertising policy model based on the application of eye tracking, grounded in data theory. The findings of this research indicate that for the success of an advertising policy based on the use of eye tracking, managers must carefully pay attention to all identified categories and subcategories in this study and possess adequate and sufficient knowledge regarding each of them.

References

Abad, P. (2025). A Deeper Theoretical Understanding of the Capital Asset Pricing Model.

Abbasi Esfanjani, H. (2022). The Impact of Product Innovation Capabilities, Market Intelligence, Pricing, and Marketing Communications on Competitive Advantage and International Performance of Small and Medium-Sized Enterprises in Hormozgan Province. International Business Management, 20, 159-178. https://jiba.tabrizu.ac.ir/article_15714.html?lang=en

Afaqhi Firimani, A. A., Marzi Almdari, J., & Deigh, A. (2023). Examining the Relationship Between Product Pricing Strategies and Marketing Capabilities (Case Study: Manufacturing Companies Located in the Aras Free Zone). 7th National Conference on New Horizons in Humanities, Economics, and Entrepreneurship, Tehran.

Alizadeh, N., & Tavan, A. (2023). Determining Product Innovation Capacities, Market Intelligence, Pricing, and Marketing Communications on International Company Performance with the Mediating Role of Competitive Advantage. Modern Management Engineering, 30, 83-116. https://sanad.iau.ir/en/Journal/jmem/Article/1025146/FullText

Feng, L., & Chan, Y. (2022). Joint pricing and production decisions for new products with learning curve effects under upstream and downstream trade credits. European Journal of Operational Research, 272(3), 905-913. https://doi.org/10.1016/j.ejor.2018.07.003

Hinterhuber, A., & Liozu, S. M. (2020). Innovation in pricing: Contemporary theories and best practices. Routledge.

Kotler, P., Keller, K. L., & Chernev, A. (2022). Marketing management. Pearson.

Lee, J., & Griffith, D. A. (2022). Price strategy in global markets: Balancing standardization and adaptation. International Marketing Review, 39(2), 381-407.

Mahapatra, A. S., Sengupta, S., Dasgupta, A., Sarkar, B., & Goswami, R. T. (2025). What is the impact of demand patterns on integrated online-offline and buy-online-pickup in-store (BOPS) retail in a smart supply chain mana gement? Journal of Retailing and Consumer Services, 82, 104093. https://doi.org/10.1016/J.JRETCONSER.2024.104093

Martín-Peña, M. L., Díaz-Garrido, E., & Sánchez-López, J. M. (2021). Pricing strategies in the digital era: A review and research agenda. Journal of Business Research, 123, 252-265.

Nagle, T. T., Hogan, J., & Zale, J. (2021). The strategy and tactics of pricing: A guide to growing more profitably. Routledge.

Peng, J., Zou, Y., Zhang, H., Zeng, L., Wang, Y., & Li, X. (2025). Pricing Decision-Making Considering Ambiguity Tolerance in Consumers: Evidence From Recycled Building Material Enterprises. Systems, 13(2), 98. https://doi.org/10.3390/systems13020098

Rakhmanita, A., Hurriyati, R., & Dirgantari, P. D. (2022). Strategy of Gamification, Product and Pricing: Does It Matter on Buying Interests of Fore Coffee Consumers. Sentralisasi, 11(1), 28-36. https://doi.org/10.33506/sl.v11i1.1493

Rogers, E. M. (2020). Diffusion of innovations. Free Press.

Salmasnia, A., & Talesh-Kazemi, A. (2022). Integrating inventory planning, pricing, and maintenance for perishable products in a two-component parallel manufacturing system with common cause failures. Operations Research International Journal, 22, 1235-1265. https://doi.org/10.1007/s12351-020-00590-6

Schill, R., & Nixon, M. (2024). The seven 'C's of strategic pricing in international markets. Journal of Cultural Marketing Strategy, 8(2), 175-191. https://doi.org/10.69554/OCWL9175

Shao, L. (2021). The Pricing Decision and Channel Choice of Upgraded Products in the Presence of Strategic Consumers. Mathematical Problems in Engineering, 2021, 1-10. https://doi.org/10.1155/2021/6674676

Tarde, O., Smith, R., & Chen, L. (2020). Innovation-based pricing: Market entry strategies for high-tech products. Technovation, 94-95, 102001.

Tian, L., & Wu, Y. (2020). Pricing Strategies in Presence of Online Consumer Ratings - From the Product Customization Perspective. Journal of Theoretical and Applied Electronic Commerce Research, 15(3), 84-100. https://doi.org/10.4067/s0718-18762020000300107

Tien, N. H., Anh, D. B. H., & Phu, P. P. (2023). Pricing strategies for innovative products in emerging markets. Journal of Business and Economic Development, 8(1), 25-34.

Wang, L. (2024). Leveraging Emerging Technologies in Pricing Strategies and Consumer Behavior: Case Studies From China's Innovative Markets. Ijetaa, 1(6), 6-12. https://doi.org/10.62677/ijetaa.2406121

Xu, J., Meng, Q., Chen, Y., & Jia, Z. (2023). Dual-Channel Pricing Decisions for Product Recycling in Green Supply Chain Operations: Considering the Impact of Consumer Loss Aversion. International journal of environmental research and public health, 20(3), 1792. https://doi.org/10.3390/ijerph20031792

Xu, Y. (2024). Comparison Between Different Pricing Models: Evidence From the Technology Industry. Advances in Economics Management and Political Sciences, 59(1), 222-230. https://doi.org/10.54254/2754-1169/59/20231126

Yang, C., Feng, Y., & Whinston, A. (2022). Dynamic pricing and information disclosure for fresh produce: An artificial intelligence approach. Production and Operations Management, 31(1), 155-171. https://doi.org/10.1111/poms.13525

Yoon, S., & Lee, K. (2018). Price strategy for innovative products: The moderating role of product newness and consumer innovativeness. Innovation: Organization & Management, 20(2), 134-150. https://doi.org/10.1080/14479338.2018.1425906

Yuan, X., Ma, Z., & Zhang, X. (2022). Dynamic Pricing for the Successive-Generation Products in the Presence of Strategic Customers and Limited Trade-in Duration. Kybernetes, 52(11), 5329-5352. https://doi.org/10.1108/k-02-2022-0237

Zhao, H., Yao, X., Liu, Z., & Yang, Q. (2021). Impact of Pricing and Product Information on Consumer Buying Behavior With Customer Satisfaction in a Mediating Role. Frontiers in psychology, 12, 720151. https://doi.org/https://doi.org/10.3389/fpsyg.2021.720151

Downloads

Published

2024-03-30

Submitted

2023-12-01

Revised

2024-01-24

Accepted

2024-02-04

How to Cite

Mir Motahari, S. H., Nematizadeh, S., & Heydari, S. A. . (2024). Presenting an Advertising Policy Model Based on the Application of Eye Tracking. Journal of Resource Management and Decision Engineering, 3(1), 48-57. https://journalrmde.com/index.php/jrmde/article/view/128

Similar Articles

21-30 of 36

You may also start an advanced similarity search for this article.