亲爱的研友该休息了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!身体可是革命的本钱,早点休息,好梦!

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 生态学 社会科学 财务 社会学 生物 程序设计语言
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.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
科研通AI6应助牧沛凝采纳,获得10
6秒前
11秒前
华仔应助科研通管家采纳,获得10
11秒前
英俊的铭应助科研通管家采纳,获得10
11秒前
11秒前
26秒前
30秒前
38秒前
38秒前
38秒前
38秒前
38秒前
38秒前
38秒前
科目三应助忧心的迎天采纳,获得10
39秒前
酷炫灵安完成签到,获得积分10
40秒前
耳机单蹦完成签到,获得积分10
59秒前
奋斗的小笼包完成签到 ,获得积分10
1分钟前
慕青应助Bin_Liu采纳,获得10
1分钟前
小石榴爸爸完成签到 ,获得积分10
1分钟前
1分钟前
1分钟前
ceeray23发布了新的文献求助20
1分钟前
1分钟前
1分钟前
1分钟前
舒适的石头完成签到,获得积分10
2分钟前
zl13332完成签到 ,获得积分10
2分钟前
姆姆没买完成签到 ,获得积分0
2分钟前
牧沛凝发布了新的文献求助10
2分钟前
刘倩完成签到 ,获得积分10
2分钟前
向前发布了新的文献求助10
2分钟前
2分钟前
xin完成签到,获得积分10
2分钟前
绿鬼蓝完成签到 ,获得积分10
2分钟前
wbs13521发布了新的文献求助10
2分钟前
2分钟前
852应助牧沛凝采纳,获得10
2分钟前
wbs13521完成签到,获得积分0
2分钟前
2分钟前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Encyclopedia of Reproduction Third Edition 3000
Comprehensive Methanol Science Production, Applications, and Emerging Technologies 2000
化妆品原料学 1000
《药学类医疗服务价格项目立项指南(征求意见稿)》 1000
The Political Psychology of Citizens in Rising China 600
1st Edition Sports Rehabilitation and Training Multidisciplinary Perspectives By Richard Moss, Adam Gledhill 600
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5634616
求助须知:如何正确求助?哪些是违规求助? 4731648
关于积分的说明 14988748
捐赠科研通 4792317
什么是DOI,文献DOI怎么找? 2559479
邀请新用户注册赠送积分活动 1519764
关于科研通互助平台的介绍 1479903