Reducing Industrial Water Consumption: The Impact of Organizational Learning

标杆管理 工厂(面向对象编程) 消费(社会学) 生产(经济) 业务 跨国公司 环境经济学 缺水 用水 营销 运营管理 计算机科学 经济 水资源 微观经济学 生物 财务 社会学 社会科学 程序设计语言 生态学
作者
Amrou Awaysheh,Sriram Narayanan,Brian W. Jacobs
出处
期刊:Production and Operations Management [Wiley]
卷期号:33 (1): 225-242
标识
DOI:10.1177/10591478231224929
摘要

Using factory-level data from a large multinational manufacturer, we examine the effects of both organizational experience and knowledge transfer on an increasingly critical environmental performance measure, the consumption of water required for manufacturing. We estimate the direct effects on water consumption from in-factory cumulative production experience and the vicarious learning from peer factories in the same product category. We consider vicarious learning from three potential sources: observation of peer factories’ cumulative production experience; and benchmarking of water consumption performance with the best and worst performing peer factories. For each learning channel, we test for the moderating effects of water scarcity and geographic proximity. We find that factories learn to reduce their water consumption from their own experience but at a greater rate in water-scarce locations. Although we find that factories learn significantly from observing the cumulative production experience of peer factories, this effect does not hold in water-scarce locations or across geographic regions. We document that learning effects from observing others’ experience are quite distinct from learning effects by benchmarking others’ performance. We find vicarious learning effects from benchmarking the best-performing peer factories result in significant reductions in water consumption, and this effect is greater when the factory is in a water-scarce location, and when benchmarking other regions rather than within the same region. Finally, we find less significant vicarious learning from observing the worst-performing factories.

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