大数据
盈利能力指数
业务
独创性
环境经济学
利润(经济学)
营销
产业组织
计算机科学
经济
创造力
财务
政治学
操作系统
微观经济学
法学
作者
Yugang Yu,Xin Zhang,Xiong Zhang,Wei Thoo Yue
出处
期刊:Information Technology & People
[Emerald (MCB UP)]
日期:2021-05-04
卷期号:35 (3): 1029-1053
被引量:1
标识
DOI:10.1108/itp-10-2020-0680
摘要
Purpose New information technologies such as IoT and big data analytics have reshaped the development of smart green products. These products exhibit two important features that are not seen in traditional products: environmental friendliness and data network effect. Based on these unique features, the authors investigate a firm's optimal selling strategy of smart green products from both the profitability and environmental perspectives. Design/methodology/approach The authors establish stylized models to consider the optimality of three selling strategies: (1) traditional strategy – only offering traditional products, (2) green strategy – only offering smart green products, and (3) hybrid strategy – offering both traditional and smart green products. Findings The authors’ analysis shows that in the absence of data network effect, there will always be a conflict between profit maximization and environmental protection. However, a strategy that benefits both the firm and the environment exists when data network effect is present. Interestingly, hybrid and traditional strategies can be win-win strategies, but the green strategy cannot. Also surprisingly, the green strategy may harm the environment more as smart products become greener. Originality/value This study examines the economic and environmental implications of selling smart green products, and contributes to existing literature on sustainable operations and green product design by incorporating the impact of both consumer environmental awareness and data network effect. The authors’ findings shed light on how to coordinate the profitability and environmental impact of selling smart green products in the era of big data and IoT.
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