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!

Firm's Intelligent Manufacturing Strategy and R&D Expenditures

补贴 盈利能力指数 投资(军事) 业务 样品(材料) 政府(语言学) 产业组织 制造业 经济 营销 财务 市场经济 语言学 化学 哲学 色谱法 政治 政治学 法学
作者
Peng Chen,Fangjun Wang,Zhichao Zhang
出处
期刊:Journal of Developing Areas 卷期号:57 (2): 189-202
标识
DOI:10.1353/jda.2023.0029
摘要

Intelligent manufacturing strategy becomes important and influential as the development trend of advanced manufacturing systems. This study examines the impact of firm's intelligent manufacturing on managers' R&D investment decisions from the perspective of strategic transformation. Moreover, we assess whether this impact is moderated by CEO tenure and government subsidies. Based on a sample of 7,522 firm-year observations in Chinese listed manufacturing firms from 2015-2019, we construct a more detailed measurement of intelligent manufacturing strategy by conducting textual analysis of Management Discussion and Analysis (MD&A) report to obtain the information of firms' implementing intelligent manufacturing. Our empirical findings show that firms' intelligent manufacturing strategies are positively related with R&D expenditures after controlling for other firm characteristics that would affect R&D expenditures, consistent with the notion that managers increase R&D investment for the realization of intelligent manufacturing strategy to achieve corporate profitability and their self-worth enhancement. Furthermore, we find that this positive relationship is more pronounced in firms with longer CEO tenure, suggesting that CEOs have a higher investment success rate and solid organizational identity with the increase of their tenure. We also find that government subsidies positively moderate the relationship between intelligent manufacturing strategy and R&D expenditures, which reveals the positive role government subsidies play in alleviating firms' financing constraint and thus helping management have enough funds to invest. The results are robust to a battery of sensitivity tests, including a propensity score matching method, alternative R&D investment measures as well as controlling for other innovation impact. In additional analyses, we find that intelligent manufacturing strategy enhances the level of innovation output by promoting firms' R&D investment, confirming the mediating effect of R&D investment in the relationship between intelligent manufacturing strategy and innovation performance. Overall, our findings are consistent with the view that intelligent manufacturing strategy improves manager's incentives and resulting more investment in innovation. Given that R&D is an activity under the purview of management subject to incentives and is of great interest to firms' long-term benefit and the overall development of society, our findings should be of great interest to management, investors, and regulators.

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
3秒前
一只大嵩鼠完成签到 ,获得积分10
6秒前
霸气的忆丹完成签到 ,获得积分10
7秒前
琪yt完成签到,获得积分20
9秒前
10秒前
15秒前
琪yt发布了新的文献求助10
16秒前
18秒前
19秒前
XIII发布了新的文献求助10
24秒前
30秒前
30秒前
wangll发布了新的文献求助10
34秒前
乐乐应助买三个包子吧采纳,获得10
34秒前
二丙发布了新的文献求助10
35秒前
Fan完成签到 ,获得积分10
35秒前
35秒前
果冻完成签到 ,获得积分10
36秒前
量子星尘发布了新的文献求助10
36秒前
Nature应助HUGGSY采纳,获得10
39秒前
甜美的傲珊完成签到,获得积分10
42秒前
戴鹿角王冠的拉斯特完成签到,获得积分10
43秒前
二丙完成签到,获得积分10
48秒前
55秒前
希望天下0贩的0应助zzf采纳,获得10
56秒前
酷波er应助wangll采纳,获得10
57秒前
1分钟前
1分钟前
芒果完成签到 ,获得积分10
1分钟前
欢欢发布了新的文献求助10
1分钟前
zzf发布了新的文献求助10
1分钟前
ok完成签到,获得积分10
1分钟前
遇上就这样吧应助ceeray23采纳,获得200
1分钟前
科研通AI2S应助科研通管家采纳,获得10
1分钟前
香蕉觅云应助科研通管家采纳,获得10
1分钟前
华仔应助科研通管家采纳,获得10
1分钟前
炙热的雪糕完成签到,获得积分10
1分钟前
1分钟前
zzf完成签到,获得积分10
1分钟前
fangdonghai发布了新的文献求助10
1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
Binary Alloy Phase Diagrams, 2nd Edition 8000
Building Quantum Computers 800
Translanguaging in Action in English-Medium Classrooms: A Resource Book for Teachers 700
Natural Product Extraction: Principles and Applications 500
Exosomes Pipeline Insight, 2025 500
Red Book: 2024–2027 Report of the Committee on Infectious Diseases 500
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 5664066
求助须知:如何正确求助?哪些是违规求助? 4857165
关于积分的说明 15107066
捐赠科研通 4822504
什么是DOI,文献DOI怎么找? 2581501
邀请新用户注册赠送积分活动 1535723
关于科研通互助平台的介绍 1493949