已入深夜,您辛苦了!由于当前在线用户较少,发布求助请尽量完整的填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!祝你早点完成任务,早点休息,好梦!

Learning from Failures: Differentiating Between Slip-ups and Knowledge Gaps

打滑(空气动力学) 业务 知识管理 产业组织 计算机科学 工程类 航空航天工程
作者
Gopesh Anand,Ujjal Kumar Mukherjee
出处
期刊:Organization Science [Institute for Operations Research and the Management Sciences]
卷期号:35 (6): 2095-2116
标识
DOI:10.1287/orsc.2021.15663
摘要

Our research investigates firm learning from failures by dividing them into two types, failures that occur due to slip-ups and those that occur due to knowledge gaps, and by examining whether learning occurs in the context of both types of failures. We study these phenomena in the context of product recalls in pharmaceuticals and medical devices. Based on text analysis of recall documents, recalls are divided into process related and design related to represent slip-up failures and knowledge gap failures. We further study how innovation capabilities, represented by accumulated stocks of patents and lagged research and development (R&D) intensity, impact learning from both types of failures. We test our hypotheses using negative binomial generalized linear models to analyze longitudinal data for 108 publicly traded U.S. firms over 2000–2016 comprising 7,984 recalls. Results indicate that design-related recalls generate learning to a greater extent than process-related recalls, and that accumulated patents and lagged R&D intensity enhance learning from design-related recalls. These findings suggest that the learning mechanisms invoked by failures are concentrated more on knowledge gap failures than slip-up failures, and such learning is impacted by innovation capabilities. Overall, this research extends organizational learning theory by differentiating between learning from different types of failures and extends absorptive capacity theory by incorporating the role of innovation capabilities in enhancing learning from failures. We develop recommendations for learning from slip-up failures by focusing on the cultural and social mechanisms of organizational learning in addition to the technical and structural mechanisms that may mainly impact learning from knowledge gap failures. Supplemental Material: The online appendices are available at https://doi.org/10.1287/orsc.2021.15663 .
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
Auoroa完成签到,获得积分10
2秒前
慕青应助红黄蓝采纳,获得10
3秒前
在水一方应助skhhh采纳,获得10
3秒前
我的Diy发布了新的文献求助10
3秒前
大灰狼发布了新的文献求助30
3秒前
上官若男应助立军采纳,获得10
9秒前
小蘑菇应助fl采纳,获得10
10秒前
10秒前
树123发布了新的文献求助10
12秒前
12秒前
16秒前
蔡从安发布了新的文献求助10
18秒前
岸在海的深处完成签到 ,获得积分10
19秒前
TT2022发布了新的文献求助10
19秒前
19秒前
fl发布了新的文献求助10
21秒前
23秒前
Ayrson发布了新的文献求助10
26秒前
饭团0814发布了新的文献求助10
26秒前
29秒前
yunshan完成签到,获得积分10
33秒前
三岁半完成签到 ,获得积分10
33秒前
33秒前
37秒前
在水一方应助yunshan采纳,获得10
39秒前
39秒前
39秒前
科研通AI5应助inging采纳,获得10
41秒前
单身的远山完成签到,获得积分10
42秒前
斯文败类应助标致的半邪采纳,获得10
42秒前
43秒前
哭泣的映寒完成签到 ,获得积分10
44秒前
慕青应助三叔采纳,获得10
45秒前
科研通AI5应助丰富的明轩采纳,获得10
46秒前
49秒前
刁刁完成签到,获得积分20
52秒前
斐嘿嘿发布了新的文献求助10
53秒前
善学以致用应助大灰狼采纳,获得10
55秒前
56秒前
57秒前
高分求助中
【此为提示信息,请勿应助】请按要求发布求助,避免被关 20000
Периодизация спортивной тренировки. Общая теория и её практическое применение 310
Technologies supporting mass customization of apparel: A pilot project 300
Mixing the elements of mass customisation 300
the MD Anderson Surgical Oncology Manual, Seventh Edition 300
Nucleophilic substitution in azasydnone-modified dinitroanisoles 300
Political Ideologies Their Origins and Impact 13th Edition 260
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 物理 生物化学 纳米技术 计算机科学 化学工程 内科学 复合材料 物理化学 电极 遗传学 量子力学 基因 冶金 催化作用
热门帖子
关注 科研通微信公众号,转发送积分 3780712
求助须知:如何正确求助?哪些是违规求助? 3326219
关于积分的说明 10226204
捐赠科研通 3041293
什么是DOI,文献DOI怎么找? 1669330
邀请新用户注册赠送积分活动 799040
科研通“疑难数据库(出版商)”最低求助积分说明 758723