The Bullwhip Effect in Servitized Manufacturers

牛鞭效应 业务 营销 经济 产业组织 计量经济学 供应链管理 供应链
作者
Yimeng Niu,Jing Wu,Shenyang Jiang,Zhibin Jiang
出处
期刊:Management Science [Institute for Operations Research and the Management Sciences]
被引量:8
标识
DOI:10.1287/mnsc.2023.01026
摘要

The shift to a service-oriented economy has driven traditional product-oriented manufacturing firms to integrate various services into their businesses. This study aims to provide empirical evidence on how manufacturers’ service offerings impact demand variability and intrafirm bullwhip effects. Through “bag-of-words” text mining on 10-K filings of U.S.-listed manufacturing firms, we propose a novel measurement to identify annual services offered. We validate the measurement’s statistical and economic significance and verify its consistency with the results obtained using the large language model (i.e., GPT-4). Services are categorized as complementing product sales (e.g., maintenance and repair) or substituting product sales entirely (e.g., machine hours). Utilizing difference-in-difference techniques, we find robust evidence that manufacturers’ service offerings reduce the bullwhip effect in two steps: basic complementing services decrease demand variability, whereas advanced substituting services mitigate intrafirm bullwhip. Moreover, servitization mainly minimizes demand variability through information channels, whereas increased production efficiency decreases intrafirm bullwhip. Our findings contribute to understanding manufacturers’ business model innovations by demonstrating that servitization can smooth demand and mitigate intrafirm bullwhip. This paper was accepted by Karan Girotra, operations management. Funding: This work was supported by the National Natural Science Foundation of China [Grants 71931007, 72091214] and General Research Fund by Hong Kong Research Grants Council [Grant 14505320]. Supplemental Material: The data and the online appendix are available at https://doi.org/10.1287/mnsc.2023.01026 .
最长约 10秒,即可获得该文献文件

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
大个应助黎金鑫采纳,获得10
2秒前
3秒前
迷路以筠完成签到,获得积分10
4秒前
4秒前
4秒前
柒月完成签到,获得积分10
5秒前
忆楠完成签到,获得积分20
5秒前
5秒前
大傻春完成签到 ,获得积分10
6秒前
MRCHONG发布了新的文献求助10
6秒前
墨翎完成签到,获得积分20
7秒前
程程程程完成签到,获得积分10
8秒前
忆楠发布了新的文献求助10
8秒前
可爱的函函应助柒月采纳,获得10
9秒前
NexusExplorer应助钟是一梦采纳,获得10
9秒前
zhangscience发布了新的文献求助10
11秒前
YYJ25发布了新的文献求助10
11秒前
科研通AI5应助liyanglin采纳,获得10
11秒前
11秒前
12秒前
shuangcheng完成签到,获得积分20
13秒前
可爱的函函应助周周采纳,获得10
14秒前
我是125应助昵称采纳,获得10
14秒前
15秒前
小赵发布了新的文献求助10
15秒前
16秒前
16秒前
16秒前
情怀应助zhangscience采纳,获得10
17秒前
Doctor_Mill完成签到,获得积分10
18秒前
18秒前
思源应助学习猴采纳,获得10
18秒前
Lavendar完成签到,获得积分10
18秒前
19秒前
19秒前
21秒前
钟是一梦发布了新的文献求助10
23秒前
23秒前
YYJ25发布了新的文献求助10
23秒前
满意冷荷完成签到,获得积分10
23秒前
高分求助中
Continuum Thermodynamics and Material Modelling 3000
Production Logging: Theoretical and Interpretive Elements 2700
Ensartinib (Ensacove) for Non-Small Cell Lung Cancer 1000
Unseen Mendieta: The Unpublished Works of Ana Mendieta 1000
Bacterial collagenases and their clinical applications 800
El viaje de una vida: Memorias de María Lecea 800
Luis Lacasa - Sobre esto y aquello 700
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 基因 遗传学 物理化学 催化作用 量子力学 光电子学 冶金
热门帖子
关注 科研通微信公众号,转发送积分 3528020
求助须知:如何正确求助?哪些是违规求助? 3108260
关于积分的说明 9288139
捐赠科研通 2805889
什么是DOI,文献DOI怎么找? 1540202
邀请新用户注册赠送积分活动 716950
科研通“疑难数据库(出版商)”最低求助积分说明 709849