|Table of Contents|

[1] Qiu Huaqing, Zhao Lindu,. Manufacturers’ channel selections under the influenceof the platform with big data analytics [J]. Journal of Southeast University (English Edition), 2022, 38 (4): 418-424. [doi:10.3969/j.issn.1003-7985.2022.04.011]
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Manufacturers’ channel selections under the influenceof the platform with big data analytics()
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Journal of Southeast University (English Edition)[ISSN:1003-7985/CN:32-1325/N]

Volumn:
38
Issue:
2022 4
Page:
418-424
Research Field:
Economy and Management
Publishing date:
2022-12-20

Info

Title:
Manufacturers’ channel selections under the influenceof the platform with big data analytics
Author(s):
Qiu Huaqing;  Zhao Lindu
School of Economics and Management, Southeast University, Nanjing 210096, China
Keywords:
big data analytics;  platform selling;  channel decision-making;  product design
PACS:
C931
DOI:
10.3969/j.issn.1003-7985.2022.04.011
Abstract:
To obtain the platform’s big data analytics support, manufacturers in the traditional retail channel must decide whether to use the direct online channel. A retail supply chain model and a direct online supply chain model are built, in which manufacturers design products alone in the retail channel, while the platform and manufacturer complete the product design in the direct online channel. These two models are analyzed using the game theoretical model and numerical simulation. The findings indicate that if the manufacturers’ design capabilities are not very high and the commission rate is not very low, the manufacturers will choose the direct online channel if the platform’s technical efforts are within an interval. When the platform’s technical efforts are exogenous, they positively influence the manufacturers’ decisions; however, in the endogenous case, the platform’s effect on the manufacturers is reflected in the interaction of the commission rate and cost efficiency. The manufacturers and the platform should make synthetic effort decisions based on the manufacturer’s development capabilities, the intensity of market competition, and the cost efficiency of the platform.

References:

[1] Xiao D, Kuang X S, Chen K B. E-commerce supply chain decisions under platform digital empowerment-induced demand[J]. Computers & Industrial Engineering, 2020, 150: 106876. DOI:10.1016/j.cie.2020.106876.
[2] Niu B Z, Dong J, Dai Z P, et al. Sales data sharing to improve product development efficiency in cross-border e-commerce[J]. Electronic Commerce Research and Applications, 2022, 51: 101112. DOI:10.1016/j.elerap.2021.101112.
[3] Yan P, Pei J, Zhou Y, et al. When platform exploits data analysis advantage: Change of OEM-led supply chain structure[J].Annals of Operations Research, 2021: 1-27. DOI:10.1007/s10479-021-04335-2.
[4] Wang C, Peng Z X, Yu H L, et al. Could the E-commerce platform’s big data analytics ease the channel conflict from manufacturer encroachment? An analysis based on information sharing and risk preference[J].IEEE Access, 2021, 9: 83552-83568. DOI:10.1109/ACCESS.2021.3087415.
[5] Ha A Y, Luo H J, Shang W X. Supplier encroachment, information sharing, and channel structure in online retail platforms[J].Production and Operations Management, 2022, 31(3): 1235-1251. DOI:10.1111/poms.13607.
[6] Liu Z K, Zhang D J, Zhang F Q. Information sharing on retail platforms[J].Manufacturing & Service Operations Management, 2021, 23(3): 606-619. DOI:10.1287/msom.2020.0915.
[7] Zheng H, Li G, Guan X, et al. Downstream information sharing and sales channel selection in a platform economy[J].Transportation Research Part E: Logistics and Transportation Review, 2021, 156: 102512. DOI:10.1016/j.tre.2021.102512.
[8] Li G, Tian L, Zheng H. Information sharing in an online marketplace with co-opetitive sellers[J]. Production and Operations Management, 2021, 30(10): 3713-3734. DOI:10.1111/poms.13460.
[9] Choe C, King S, Matsushima N. Pricing with cookies: Behavior-based price discrimination and spatial competition[J].Management Science, 2018, 64(12): 5669-5687. DOI:10.1287/mnsc.2017.2873.
[10] Tian L, Vakharia A J, Tan Y L, et al. Marketplace, reseller, or hybrid: Strategic analysis of an emerging e-commerce model[J]. Production and Operations Management, 2018, 27(8): 1595-1610. DOI:10.1111/poms.12885.
[11] Li Q, Wang Q S, Song P J. The effects of agency selling on reselling on hybrid retail platforms[J].International Journal of Electronic Commerce, 2019, 23(4): 524-556. DOI:10.1080/10864415.2019.1655209.
[12] Pu X J, Sun S X, Shao J. Direct selling, reselling, or agency selling? Manufacturer’s online distribution strategies and their impact[J].International Journal of Electronic Commerce, 2020, 24(2): 232-254. DOI:10.1080/10864415.2020.1715530.
[13] Liu B B, Guo X L, Yu Y G, et al. Manufacturer’s contract choice facing competing downstream online retail platforms[J]. International Journal of Production Research, 2021, 59(10): 3017-3041. DOI:10.1080/00207543.2020.1744767.
[14] Song W, Li W L, Geng S D. Effect of online product reviews on third parties’ selling on retail platforms[J]. Electronic Commerce Research and Applications, 2020, 39: 100900. DOI:10.1016/j.elerap.2019.100900.
[15] Jindal R P, Sarangee K R, Echambadi R, et al. Designed to succeed: Dimensions of product design and their impact on market share[J]. Journal of Marketing, 2016, 80: 72-89. DOI:10.1509/jm.15.0036.
[16] Rubera G. Design innovativeness and product sales’ evolution[J]. Marketing Science, 2015, 34(1): 98-115. DOI:10.1287/mksc.2014.0875.
[17] Manzako�11D;lu B T, Er �D6;. Design management capability framework in global value chains: Integrating the functional upgrading theory from OEM to ODM and OBM[J]. The Design Journal, 2018, 21(1): 139-161. DOI:10.1080/14606925.2018.1395577.
[18] El Ouardighi F, Kim B. Supply quality management with wholesale price and revenue-sharing contracts under horizontal competition[J]. European Journal of Operational Research, 2010, 206(2): 329-340. DOI:10.1016/j.ejor.2010.02.035.
[19] El Ouardighi F. Supply quality management with optimal wholesale price and revenue sharing contracts: A two-stage game approach[J]. International Journal of Production Economics, 2014, 156: 260-268. DOI:10.1016/j.ijpe.2014.06.006.
[20] Avinadav T, Chernonog T, Fruchter G E, et al. Contract design when quality is co-created in a supply chain[J]. European Journal of Operational Research, 2020, 286(3): 908-918. DOI:10.1016/j.ejor.2020.03.070.
[21] Chakraborty T, Chauhan S S, Ouhimmou M. Cost-sharing mechanism for product quality improvement in a supply chain under competition[J]. International Journal of Production Economics, 2019, 208: 566-587. DOI:10.1016/j.ijpe.2018.12.015.
[22] Xiao T J, Yang D Q. Price and service competition of supply chains with risk-averse retailers under demand uncertainty[J]. International Journal of Production Economics, 2008, 114(1): 187-200. DOI:10.1016/j.ijpe.2008.01.006.
[23] Jain T, Hazra J. Optimal regulation and sustainable product design under uncertainties[J]. International Journal of Production Economics, 2020, 225: 107574. DOI:10.1016/j.ijpe.2019.107574.
[24] Bhaskaran S R, Krishnan V. Effort, revenue, and cost sharing mechanisms for collaborative new product development[J]. Management Science, 2009, 55(7): 1152-1169. DOI:10.1287/mnsc.1090.1010.
[25] Zhang J Q, Cao Q N, He X L. Contract and product quality in platform selling[J].European Journal of Operational Research, 2019, 272(3): 928-944. DOI:10.1016/j.ejor.2018.07.023.

Memo

Memo:
Biographies: Qiu Huaqing(1992—), female, Ph.D. candidate; Zhao Lindu(corresponding author), male, doctor, professor, ldzhao@seu.edu.cn.
Foundation items: The National Natural Science Foundation of China(No. 72071039), the Foundation of China Scholarship Council(No.202106090197).
Citation: Qiu Huaqing, Zhao Lindu. Manufacturers’ channel selections under the influence of the platform with big data analytics[J].Journal of Southeast University(English Edition), 2022, 38(4):418-424.DOI:10.3969/j.issn.1003-7985.2022.04.011.
Last Update: 2022-12-20