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Low-carbon products, targeted advertising and evolution of supply chain marketing investment strategies |
LI Chun-fa1, WANG Cong1, CAO Ying-ying1, HAO Lin-na2 |
1. School of Management, Tianjin University of Technology, Tianjin 300384, China; 2. Commercial College, Liaocheng University, Liaocheng 252000, China |
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Abstract Based on the analysis of the effects of targeted advertising on the marketing investment strategies and the competitive relationship of manufacturers and retailers of low-carbon products, a stackelberg game model dominated by manufacturers was established. In this paper, the payment matrix of different investment strategies of manufacturers and retailers was given, and an evolutionary game model was constructed to promote the sales of low-carbon products. According to the low-carbon degree of the product, differentiated low-carbon products, analyzed the evolution path and stability of directional advertising investment strategies in supply chain of different low-carbon products, and Netlogo was used to simulate the evolution of game strategies, which revealed the influence of consumers' low carbon preference, advertising effect factor and price sensitivity coefficient on the strategy evolution path. The results indicated that under the bounded rationality of the manufacturers and the retailers, the cooperative behavior of both parties' targeted advertising investment could not be promoted by cost-sharing contract; the evolution equilibrium strategies of low-carbon supply chain varied with the low-carbon degree of the product; compared with manufacturers, retailers' investment in targeted advertising could generate greater market demand, and made for the popularization and promotion of low-carbon products; for products with high low-carbon degree, consumers' low carbon preference and price sensitivity coefficient were positively correlated with retailers' investment intentions, and the impact of advertising effect factor on retailers' investment intentions had a peak value, where retailers were the most likely to make investment when the advertising effect factor was in the appropriate range. Accordingly, the inspirational management strategy and decision-making suggestions were put forward.
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Received: 04 March 2021
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[1] |
李文翔,李晔,蔡近近.政府-企业-居民协同共治的道路交通碳交易机制设计[J]. 中国环境科学, 2021,doi:10.19674/j. cnki.issn1000-6923.20210430.007.Li W X, Li H, Cai J J. Design of CO2 emission trading system for road transport collaboratively governed by the government, enterprises, and residents[J]. China Environmental Science, 2021,doi:10.19674/j. cnki.issn1000-6923.20210430.007.
|
[2] |
陈山,王旭,吴映波,等.低碳环境下双渠道供应链线上线下广告策略的微分博弈分析[J]. 控制与决策, 2020,35(11):2707-2714.Chen S, Wang X, Wu Y B, et al. Differential game analysis of online and offline advertising strategies in a dual channel supply chain under low-carbon background[J]. Control and Decision, 2020,35(11):2707-2714.
|
[3] |
戚聿东,肖旭.数字经济时代的企业管理变革[J]. 管理世界, 2020,36(6):135-152,250.Qi Y D, Xiao X. Transformation of enterprise management in the era of digital economy[J]. Management World, 2020,36(6):135-152,250.
|
[4] |
张建强,仲伟俊.企业定向广告的竞争效果及模式选择研究[J]. 系统管理学报, 2017,26(6):1022-1033.Zhang J Q, Zhong W J. Competitive effects of targeted advertising and firms' choice between advertising strategies[J]. Journal of Systems & Management, 2017,26(6):1022-1033.
|
[5] |
张永年,潘竟虎.基于DMSP/OLS数据的中国碳排放时空模拟与分异格局[J]. 中国环境科学, 2019,39(4):1436-1446.Zhang Y N, Pan J H. Spatio-temporal simulation and differentiation pattern of carbon emissions in China based on DMSP/OLS nighttime light data[J]. China Environmental Science, 2019,39(4):1436-1446.
|
[6] |
黄书真,徐福缘,何建佳,等.双渠道低碳供应链合作减排与促销决策模型[J]. 科技管理研究, 2017,37(17):246-256.Huang S Z, Xu F Y, He J J, et al. Cooperative reduction and promotion decision model in dual channel supply chain[J]. Science and Technology Management Research, 2017,37(17):246-256.
|
[7] |
俞超,汪传旭,王志华.考虑双重低碳宣传补贴的供应链碳减排优化[J]. 计算机工程与应用, 2018,54(16):248-253,270.Yu C, Wang C X, Wang Z H. Optimization of carbon emission reduction in supply chain with dual subsidies to low-carbon propaganda[J]. Computer Engineering and Applications, 2018,54(16):248-253,270.
|
[8] |
游达明,朱桂菊.低碳供应链生态研发、合作促销与定价的微分博弈分析[J]. 控制与决策, 2016,31(6):1047-1056.You D M, Zhu G J. Differential game analysis of ecological R&D, cooperative promotion and pricing in the low-carbon supply chain[J]. Control and Decision, 2016,31(6):1047-1056.
|
[9] |
王婷婷,王道平,赵超.大数据服务商参与下供应链联合减排的动态协调策略[J]. 控制与决策, 2019,doi:10.13195/j. kzyjc.2019.1560.Wang T T, Wang D P, Zhao C. Dynamic coordination strategy of joint emission reduction in supply chain involving big data service provider[J]. Control and Decision, 2019,doi:10.13195/j. kzyjc.2019.1560.
|
[10] |
张建强,仲伟俊.制造商定向广告与零售商定向定价关系研究[J]. 中国管理科学, 2017,25(11):76-84.Zhang J Q, Zhong W J. The relationship between manufacture's targeted advertising and retailer's targeted pricing[J]. Chinese Journal of Management, 2017,25(11):76-84.
|
[11] |
侯静怡,陆文星,梁昌勇,等.招聘服务供应链中广告合作模型研究[J]. 中国管理科学, 2018,26(6):133-142.Hou J Y, Lu W X, Liang C Y, et al. A study on advertising cooperation model in recruitmenr service supply chain[J]. Chinese Journal of Management Science, 2018,26(6):133-142.
|
[12] |
赵黎明,陈喆芝.考虑消费偏好的旅游供应链纵向合作广告[J]. 系统管理学报, 2018,27(4):753-760,768.Zhao L M, Chen Z Z. Vertical cooperative advertising in a tourism supply chain considering consuming preference[J]. Journal of Systems & Management, 2018,27(4):753-760,768.
|
[13] |
舒良友,王义宝.考虑渠道权力结构的O2O供应链合作广告策略研究[J]. 工业工程与管理, 2020,25(2):146-154.Shu L Y, Wang Y B. Study on O2O supply chain cooperative advertising strategy considering channel power structure[J]. Industrial Engineering and Management, 2020,25(2):146-154.
|
[14] |
钱萍萍,严磊,李敏.不同决策模式下的双渠道供应链合作广告博弈分析[J]. 运筹与管理, 2019,28(4):42-47.Qian P P, Yan L, Li M. Game analysis of cooperation advertising in dual-supply chain under different decision-making models[J]. Operations Research and Management Science, 2019,28(4):42-47.
|
[15] |
徐春秋,赵道致,原白云,等.上下游联合减排与低碳宣传的微分博弈模型[J]. 管理科学学报, 2016,19(2):53-65.Xu C Q, Zhao D Z, Yuan B Y, et al. Differential game model on joint carbon emission reduction and low-carbon promotion in supply chains[J]. Journal of Management Sciences in China, 2016,19(2):53-65.
|
[16] |
Guo Z, Ma J H. Dynamics and implications on a cooperative advertising model in the supply chain[J]. Communications in Nonlinear Science and Numerical Simulation, 2018,(64):198-212.
|
[17] |
Sarkar B, Omair M, Kim N. A cooperative advertising collaboration policy in supply chain management under uncertain conditions[J]. Applied Soft Computing, 2020,(88):105948.
|
[18] |
Zhou Y J, Bao M J, Chen X H, et al. Co-op advertising and emission reduction cost sharing contracts and coordination in low-carbon supply chain based on fairness concerns[J]. Journal of Cleaner Production, 2016,(133):402-413.
|
[19] |
Xiao D, Zhou Y W, Zhong Y G, et al. Optimal cooperative advertising and ordering policies for a two-echelon supply chain[J]. Computers & Industrial Engineering, 2019,(127):511-519.
|
[20] |
Chutani A, P.sethi S. Dynamic cooperative advertising under manufacturer and retailer level competition[J]. European Journal of Operational Research, 2018,268(2):635-652.
|
[21] |
刘盼,易树平.定向广告与消费者信息投入对供应链定价的影响[J]. 计算机集成制造系统, 2017,23(1):162-171.Liu P, Yi S P. Effect of consumer information and targeting advertising investment on supply chain pricing[J]. Computer Integrated Manufacturing Systems, 2017,23(1):162-171.
|
[22] |
王玉燕,申亮.基于第三方电商平台销售的E-供应链广告策略研究[J]. 管理评论, 2019,31(10):124-132.Wang Y Y, Shen L. A Study of e-supply chain advertisement strategy based on the third party e-commerce platform for sales[J]. Management Review, 2019,31(10):124-132.
|
[23] |
单汨源,吴炜炜,江黎明.制造商与零售商合作广告的动态非对称演化博弈[J]. 软科学, 2009,23(4):25-29.Shan M Y, Wu W W, Jiang L M. An asymmetric evolutionary game for cooperative advertising between manufacturer and retailer[J]. Soft Science, 2009,23(4):25-29.
|
[24] |
欧海鹰.在线广告投放选择及商品网络定价的演化博弈[J]. 管理评论, 2015,27(6):179-185.Ou H Y. Online advertising and pricing strategy based on evolutionary game[J]. Management Review, 2015,27(6):179-185.
|
[25] |
柳键,周辉.绿色差异化产品的定价与绿色度决策研究[J]. 贵州财经大学学报, 2018,(2):98-110.Liu J, Zhou H. Pricing and green degree decisions of green differentiated products[J]. Journal of Guizhou University of Finance and Economics, 2018,(2):98-110.
|
[26] |
王丹丹,菅利荣,付帅帅.城市生活垃圾分类回收治理激励监督机制研究[J]. 中国环境科学, 2020,40(7):3188-3195.Wang D D, Guan L R, Fu S S. Incentive and supervision mechanism of municipal solid waste separation and recycling[J]. China Environmental Science, 2020,40(7):3188-3195.
|
[27] |
彭璐璐,李楠,郑智远,等.中国居民消费碳排放影响因素的时空异质性[J]. 中国环境科学, 2021,41(1):463-472.Peng L L, Li N, Zheng Z Y, et al. Spatial-temporal heterogeneity of carbon emissions and influencing factors on household consumption of China[J]. China Environmental Science, 2021,41(1):463-472.
|
|
|
|