中国管理科学 ›› 2022, Vol. 30 ›› Issue (4): 167-183.doi: 10.16381/j.cnki.issn1003-207x.2019.0649cstr: 32146.14.j.cnki.issn1003-207x.2019.0649
马德青, 胡劲松
收稿日期:2019-05-07
修回日期:2019-09-06
出版日期:2022-04-20
发布日期:2022-04-26
通讯作者:
胡劲松(1966-),男(汉族),湖北省京山人,青岛大学商学院,教授,博士生导师,研究方向:行为运营管理,Email:hujinsong@qdu.edu.cn.
E-mail:hujinsong@qdu.edu.cn
基金资助:MA De-qing, HU Jin-song
Received:2019-05-07
Revised:2019-09-06
Online:2022-04-20
Published:2022-04-26
Contact:
胡劲松
E-mail:hujinsong@qdu.edu.cn
摘要: 本文研究消费者展厅行为和参考质量效应对O2O供应链动态运营策略的影响问题。分析了集中决策、分散决策和制造商分担实体店服务成本决策3种模式下的制造商产品质量策略、实体店和电商平台的服务竞争策略,以及品牌商誉变化和企业利润等问题。并进行了价格、实体店访问比例和展厅行为强度对企业绩效的影响。研究发现:展厅行为会挫伤实体店提供服务的积极性,降低品牌商誉,从而损害制造商和实体店的利润水平;而消费者的这种搭便车行为会提高电商平台利润,但由于参考质量效应的存在,其提升空间有限。综合而言,展厅行为对供应链总体绩效不利。应对展厅行为的长期战略有:1)加强上下游的纵向合作,制造商分担实体店服务成本契约,能实现供应链总体绩效的帕累托改进。2)从受展厅行为影响最大的实体店角度,保持线下产品高定价、高服务水平,提升消费者支付意愿,全面提升实体店的品牌溢价能力,获取长久生存之道。
中图分类号:
马德青,胡劲松. 消费者展厅行为和参考质量效应对O2O供应链动态运营策略的影响[J]. 中国管理科学, 2022, 30(4): 167-183.
MA De-qing,HU Jin-song. Study on the Dynamic Operation and Marketing Strategies of O2O Supply Chain Considering Consumers’ Showrooming and Reference Quality Effect[J]. Chinese Journal of Management Science, 2022, 30(4): 167-183.
| [1] Rigby D. The future of shopping[J].Havard Business Review,2011,89(12). [2] Gao Fei, Su Xuanming. Online and offline Information for omnichannel retailing[J]. Manufacturing & Service Operations Management, 2016:1-15. [3] Mehra A, Kumar S, Raju J S. Competitive strategies for Brick-and-mortar stores to counter ‘Showrooming’[J]. Management Science,2017, 64(7): 3076-3090. [4] Zimmerman A. Can retailers halt ‘showrooming’? [J]. Wall Street Journal,2012. [5] Basu P, Basak S, Avittathur B, et al. A game theoretic analysis of multichannel retail in the context of “showrooming” [J]. Decision Support Systems, 2017:S0167923617301574. [6] Jing Bing. Showrooming and webrooming: Information externalities between online and offline sellers[J]. Marketing Science, 2018,37(3):469-483. [7] Balakrishnan A, Sundaresan S, Zhang B. Browse-and-switch: Retail-online competition under value uncertainty[J]. Production and Operations Management, 2014, 23(7):1129-1145. [8] Jing Bing. Lowering customer evaluation costs, product differentiation, and price competition[J]. Marketing Science, 2016,35(1):113-127. [9] Bell D R, Gallino S, Moreno A. Offline showrooms in omni-channel retail: Demand and operational benefits[J]. Management Science,2017:1-23. [10] Gensler S, Neslin S A, Verhoef P C. The showrooming phenomenon: It’s more than just about price[J]. Journal of Interactive Marketing, 2017, 38(1):29-43. [11] Liu Pan, Yi Shuping. Pricing policies of green supply chain considering targeted advertising and product green degree in the Big Data environment[J]. Journal of Cleaner Production, 2017, 164:1614-1622. [12] Kuksov D, Liao C. When showrooming increases retailer profit[J]. Journal of Marketing Research, 2018:jmr.17.0059. [13] Adele Sweetwood. The analytical marketer: how to transform your marketing organization[M]. Harvard Business Review Press,2016. [14] Chiang W Y K, Chhajed D, Hess J D. Direct marketing, indirect profits: A strategic analysis of dual-channel supply-chain design[J]. Management Science, 2003, 49(1):1-20. [15] Chenavaz R. Dynamic quality policies with reference quality effects[J]. Applied Economics, 2018, 49:1-7. [16] Liu G, Sethi S P, Zhang J. Myopic vs. far-sighted behaviours in a revenue-sharing supply chain with reference quality effects[J]. International Journal of Production Research, 2016, 54(5):1-24. [17] Gavious A, Lowengart O. Price-quality relationship in the presence of asymmetric dynamic reference quality effects[J]. Marketing Letters, 2012, 23(1):137-161. [18] 马德青,胡劲松. 大数据营销与参考价格效应下的闭环供应链协同经营策略研究[J]. 软科学,2019,33(11): 98-106.Ma Deqing, Hu Jinsong. Research on cooperative operation mode of closed-loop supply chain under big-data marketing and reference price effect[J]. Soft Science,2019, 33(11): 98-106. [19] Gallino S, Moreno A. Integration of online and offline channels in retail: The impact of sharing reliable inventory availability information[M]. INFORMS, 2014. [20] 金亮, 张旭梅, 但斌, 等. 交叉销售下“线下体验+线上零售”的O2O供应链佣金契约设计[J]. 中国管理科学, 2017,25(11):33-46.Jin Liang, Zhang Xumei, Dan Bin, et al. Commission contract designin“Offline evaluation. Online purchase”(O2O) supply chain in the presence of cross-selling[J]. Chinese Journal of Management Science,2017,25(11):33-46. [21] 范丹丹, 徐琪, 王文杰. 考虑线上线下需求迁移下的供应链O2O最优服务决策研究[J]. 中国管理科学, 2017,25(11):22-24.Fan Dandan, Xu Qi, Wang Wenjie. Optimal service decisions consideration demand shift between online and offline in supply chain O2O system[J]. Chinese Journal of Management Science,2017,25(11):22-24. [22] 姜力文,戢守峰,孙琦,等. 考虑品牌APP丰富度的O2O供应链渠道选择与定价策略[J]. 管理工程学报, 2018, 32(3):182-191.Jiang Liwen, Ji Shoufeng, Sun Qi, et al.Research on channel selection and pricing strategies by considering brand APP pichness in O2O supply chain[J].Journal of Industrial Engineering and Engineering Management,2018,32(3):182-191. [23] He Yanyan, Zhang Juan, Gou Qinglong, et al. Supply chain decisions with reference quality effect under the O2O environment[J]. Annals of Operations Research, 2017, 268(1):1-20. [24] 马德青,胡劲松. 模式下考虑消费者参考效应和成员互惠利他的产品—服务供应链微分博弈[J].管理工程学报,2021,35(1):151-167.Ma Deqing, Hu Jinsong.Differential game of product-service supply chain considering consumers’ reference effect and members’ reciprocity altruism under O2O mode[J].Journal of Industrial Engineering and Engineering Management,2021,35(1):151-167. [25] 马歇尔·费舍,桑提亚哥·加利诺,谢尔盖·奈特西. 被零售商浪费的利器[J]. 哈佛商业评论, 2019,2:88-95.Marshall Fischer, Santiago Galino, Sergei Netsi. The sharpshooter wasted by retailers[J]. Harvard Business Review, 2019,2:88-95. [26] Nerlove M, Arrow K J. Optimal advertising policy under dynamic conditions[J]. Economica, 1962, 29(114):129-142. [27] Caulkins J P, Feichtinger G, Grass D, et al. Interaction of pricing, advertising and experience quality: A dynamic analysis[J]. European Journal of Operational Research, 2017, 256(3):877-885. [28] Engwerda. LQ dynamic optimization and differential games[M]. New York: Springer US, 2010. |
| [1] | 孙嘉轶, 路阳阳, 滕春贤. 区块链技术对低碳供应链合作策略的影响研究[J]. 中国管理科学, 2025, 33(10): 293-303. |
| [2] | 王莺潼, 计小宇, 孟庆春. 动态不确定环境下基于多层级备份策略的供应链网络性能研究[J]. 中国管理科学, 2025, 33(10): 316-326. |
| [3] | 李梦祺, 李登峰, 南江霞. 考虑链间竞争与链内研发成本共担的绿色供应链决策——基于非合作-合作两型博弈方法[J]. 中国管理科学, 2025, 33(10): 339-349. |
| [4] | 何爽, 赵亮, 张剑, 李琳. 替代竞争情境下关联需求固定产出比联产品加工决策研究[J]. 中国管理科学, 2025, 33(10): 76-85. |
| [5] | 伏红勇, 雷一峰, 但斌, 掌曙光. 应对供应商减排不合规的碳审计策略:独立vs联合[J]. 中国管理科学, 2025, 33(9): 339-348. |
| [6] | 陈威, 田永乐, 白春光, 马永开. 考虑极端天气的电力供应链可再生能源维护策略研究[J]. 中国管理科学, 2025, 33(9): 359-368. |
| [7] | 吕希琛, 田银凤, 田世海, 刘佳缘, 孔庆伟. MRV机制下碳数据质量监管多主体行为决策研究[J]. 中国管理科学, 2025, 33(8): 355-368. |
| [8] | 李志文, 徐贤浩, 关旭, 柏庆国, 陈程. 农产品市场双寡头区块链采纳决策的演化博弈分析[J]. 中国管理科学, 2025, 33(7): 324-336. |
| [9] | 孙中苗, 徐琪. 区块链技术下政府对可再生能源电力消纳的动态激励补贴研究[J]. 中国管理科学, 2025, 33(7): 346-359. |
| [10] | 扈衷权, 梁倩, 沈奥, 刘阳. 基于期权契约的应急物资生产能力储备模型研究[J]. 中国管理科学, 2025, 33(5): 247-258. |
| [11] | 张文明, 杜玉禄. 相邻价格相关的在线单向交易问题的数据驱动型策略设计[J]. 中国管理科学, 2025, 33(5): 26-33. |
| [12] | 何洪阳, 张彬, 田苏俊. 平台经济政企协同治理的演化博弈分析[J]. 中国管理科学, 2025, 33(5): 76-87. |
| [13] | 周驰, 李赫, 于静. 委托代理关系下品牌商网络直播营销激励机制设计[J]. 中国管理科学, 2025, 33(4): 265-274. |
| [14] | 白雨, 赵昕, 丁黎黎. 考虑企业时间偏好的碳配额存储与借贷机制研究[J]. 中国管理科学, 2025, 33(4): 357-368. |
| [15] | 许书琴, 徐琪. 能源平台供应链可再生能源电力消纳激励契约研究[J]. 中国管理科学, 2025, 33(3): 326-338. |
| 阅读次数 | ||||||
|
全文 |
|
|||||
|
摘要 |
|
|||||
|
||