Research on the influence of information technology investment on production cost management innovation in the retail industry under the 020 model

Document Type : Research Paper

Author

Innovation management Department, Suan Sunandha Rajabhat University, Bangkok, Thailand

Abstract

Nowadays, every sector strives to provide its customers an exceptional experience. With an online to
offline retailing structure, higher profits may be made while still providing customers with dependable service. Offline and online techniques are also covered in this framework for improving production management. Online to offline (O2O) models are included here for various retail sales of particular items from the sector since information technology plays a vital role in retail production management. Industries must innovate or die if they want to remain competitive in the future marketplace. Because of this, innovation has become a popular term in the business world. Innovative product cost management technique that incorporates idea development, dissemination, and conversion. To get around this concept, one must use an approach that does not rely on distribution. The model’s usefulness in Realtime is shown via numerical examples. Critical parameters are used in a sensitivity analysis. Graphical ramifications and special situations give further evidence of the current study’s global optimization.

Keywords

[1] Z. He, T. Cheng, J. Dong, and S. Wang, Evolutionary location and pricing strategies for service merchants in
competitive O2O markets, European Journal of Operational Research, 254 (2016) 595-609.
[2] B. He, V. Gupta, and P. Mirchandani, Online selling through O2O platform or on your own? Strategic implications
for local Brick-and-Mortar stores,” Omega, 103 (2021) 102424.
[3] B. He, P. Mirchandani, and Y. Wang, Removing barriers for grocery stores: O2O platform and self-scheduling
delivery capacity, Transportation Research Part E: Logistics and Transportation Review, 141 (2020) 102036.
[4] L. Kong, Z. Liu, Y. Pan, J. Xie, and G. Yang, Pricing and service decision of dual-channel operations in an O2O
closed-loop supply chain, Industrial Management & Data Systems, 2017.
[5] Y. Ouyang, Z. Wan, and Z. Wan, Game model for online and offline retailers under buy-online and pick-up-instore mode with delivery cost and random demand, The ANZIAM Journal, 62 (2020) 62-88.
[6] Z. Pei, B. R. Wooldridge, and K. R. Swimberghe, Manufacturer rebate and channel coordination in O2O retailing,
Journal of Retailing and Consumer Services, 58 (2021) 102268.
[7] S. S. Sana and K. Chaudhuri, A deterministic EOQ model with delays in payments and price-discount offers,
European Journal of Operational Research, 184 (2008) 509-533.
[8] S. S. Sana, Price competition between green and non green products under corporate social responsible firm, Journal
of Retailing and Consumer Services, 55 (2020) 102118.
[9] B. Sarkar, B. K. Dey, M. Sarkar, and A. AlArjani, A Sustainable Online-to-Offline (O2O) Retailing Strategy for a
Supply Chain Management under Controllable Lead Time and Variable Demand, Sustainability, 13 (2021) 1756.
[10] A. A. Taleizadeh and M. Mokhtarzadeh, Pricing and two-dimensional warranty policy of multi-products with
online and offline channels using a value-at-risk approach, Computers & Industrial Engineering, 148 (2020)
106674.
[11] T. Tong, H. Dai, Q. Xiao, and N. Yan, ”Will dynamic pricing outperform? Theoretical analysis and empirical
evidence from O2O on-demand food service market,” International Journal of Production Economics, vol. 219,
pp. 375-385, 2020.
[12] C. Wang, Y. Wang, J. Wang, J. Xiao, and J. Liu, Factors influencing consumers’ purchase decision-making in
O2O business model: Evidence from consumers’ overall evaluation, Journal of Retailing and Consumer Services,
61 (2021) 102565.
[13] R. Yan, Z. Pei, and S. Ghose, Reward points, profit sharing, and valuable coordination mechanism in the O2O
era, International Journal of Production Economics, 215 (2019) 34-47.
[14] J. Zhang, C. Hong, M. Junsheng, and T. Kesheng, How to coordinate supply chain under O2O business model
when demand deviation happens, Management Science and Engineering, 9 (2015) 24-28.
[15] J. Li, Y. Zheng, B. Dai, and J. Yu, Implications of matching and pricing strategies for multiple-delivery-points
service in a freight O2O platform, Transportation Research Part E: Logistics and Transportation Review, 136
(2020) 101871.
Volume 12, Special Issue
December 2021
Pages 1477-1495
  • Receive Date: 04 August 2021
  • Accept Date: 12 November 2021