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논문 기본 정보

자료유형
학술저널
저자정보
Rubel Amin (Chandigarh University) Bijay Prasad Kushwaha (Vellore Institute of Technology) Md Helal Miah (Zhengzhou University)
저널정보
인하대학교 정석물류통상연구원 Journal of International Logistics and Trade Journal of International Logistics and Trade Vol.21 No.2
발행연도
2023.6
수록면
62 - 83 (22page)

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초록· 키워드

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Purpose - This paper examines the process optimization method of the online sales model of information product demand concerning the spillover effect. It illustrates the spillover effect (SE) of online product demand compared with traditional market demand. Also, optimized the SE for the ethical and ordinary consumer.
Design/methodology/approach - This article primarily focused on two types of models for online marketing: one is wholesales, and another is the agency. Firstly, the wholesale and agency models without SE and the wholesale and agency models with SE are constructed, respectively, to realize the SE in different sales models. Secondly, online channel participants’ optimal price, demand and profit under variant conditions are compared and analyzed. Finally, efficient supply chain theory is optimized for the decision-making of online marketing consumers using an equation-based comparative analysis method.
Findings - The study found that when SEs are not considered, stronger piracy regulation makes online channel participants more beneficial. When the positive SE is strong, it is detrimental to manufacturers. When SEs are not considered, online channel participants only reach Pareto in agency mode. Pareto optimality can be achieved in wholesale and agency modes when SEs are considered.
Originality/value - The research has practical implications for an effective supply chain model for online marketing. This is the first algorithm-based comparative study concerning theoretical spillover effect analysis in supply chain management.

목차

Abstract
1. Introduction
2. Model description
3. Equilibrium conditioning model
4. Model comparison analysis of manufacturers’ and online retailers’ pricing and profits strategies with/without considered SEs
5. Condition of optimal online channel sales model with/without considering SEs
6. Optimal online sales model
7. Conclusion
8. Limitations and future research
9. Research implication
References

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