Unlocking supply chain product and process innovation through the development of supply chain learning capabilities under technological turbulence: Evidence from Egyptian SMEs

供应链 动态能力 业务 知识管理 背景(考古学) 供应链管理 新产品开发 独创性 产品(数学) 过程(计算) 产品创新 测量数据收集 营销 过程管理 产业组织 计算机科学 心理学 社会心理学 生物 统计 操作系统 数学 古生物学 创造力 几何学
作者
Mahmoud Abdelaziz Ahmed Abdelaziz,Jiani Wu,Changwei Yuan,Mohamed A. Ghonim
出处
期刊:Journal of Manufacturing Technology Management [Emerald Publishing Limited]
卷期号:34 (5): 793-819 被引量:19
标识
DOI:10.1108/jmtm-11-2022-0395
摘要

Purpose In light of the current challenges in the business environment, firms, particularly those involved in supply chains, must foster innovation. In this context, the current study employs the theory of dynamic organizational capabilities (DOCs) to track supply chain learning capabilities (SCLCs) and independently uncover their relationship to innovation at both the product and process levels. Similarly, the study intends to investigate the influence of technological turbulence (TT) on these relationships as a moderating variable. Design/methodology/approach The data were gathered using in-person interviews with 189 CEOs with some supply chain management proficiency from small and medium-sized enterprises (SMEs) in the industrial zones of eastern Egypt. The study used a survey approach to collect data, and the SEM-PLS technique was utilized to analyze the data. Findings Study findings revealed that SCLCs positively affect product and process innovation. In addition, TT positively moderates the relationship between SCLCs and product and process innovation, except for risk-taking capability. Further theoretical and practical implications are derived from the study findings. Originality/value This research adds to the knowledge of the dynamic capabilities theory (DCT), which affects how firms interact with their external environment. Studying learning capabilities are employed as essential competencies to counterbalance high levels of TT in the external environment in terms of innovative performance and vice versa if firms do not attempt to strengthen their dynamic learning capabilities in supply chains. In addition, this study contributes to the literature by studying learning capabilities from the external perspective, where SCLCs are being developed as a new variable to improve innovation.
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
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

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
我是老大应助苹果芷雪采纳,获得10
刚刚
1秒前
长度2到发布了新的文献求助10
1秒前
1秒前
Lucas应助独步旋碟采纳,获得10
2秒前
所所应助务实善若采纳,获得10
2秒前
摸鱼宝完成签到,获得积分10
2秒前
深情安青应助More采纳,获得10
2秒前
KKK发布了新的文献求助10
3秒前
666完成签到,获得积分10
3秒前
七安发布了新的文献求助10
4秒前
张然完成签到,获得积分20
5秒前
Vicker发布了新的文献求助10
5秒前
sxp1031发布了新的文献求助10
6秒前
俊逸寄灵发布了新的文献求助10
6秒前
6秒前
7秒前
小蘑菇应助犀牛采纳,获得10
7秒前
Amber完成签到,获得积分10
7秒前
xiaoyaoyou完成签到,获得积分10
8秒前
乐乐应助fredxjx采纳,获得30
8秒前
9秒前
善学以致用应助可靠豌豆采纳,获得10
9秒前
李健的小迷弟应助sun采纳,获得10
10秒前
SciGPT应助111采纳,获得10
10秒前
完美世界应助活佛济公采纳,获得30
11秒前
齐半青完成签到,获得积分0
11秒前
SciGPT应助勋章采纳,获得10
11秒前
沉默凌寒完成签到,获得积分10
12秒前
Vicker完成签到,获得积分20
12秒前
12秒前
斯文败类应助超帅的岱周采纳,获得10
13秒前
13秒前
saber发布了新的文献求助10
13秒前
13秒前
兰彻发布了新的文献求助10
13秒前
14秒前
szj完成签到,获得积分10
15秒前
怡然的飞风完成签到,获得积分20
15秒前
孙严青发布了新的文献求助10
15秒前
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
Vertébrés continentaux du Crétacé supérieur de Provence (Sud-Est de la France) 600
A complete Carnosaur Skeleton From Zigong, Sichuan- Yangchuanosaurus Hepingensis 四川自贡一完整肉食龙化石-和平永川龙 600
Elle ou lui ? Histoire des transsexuels en France 500
FUNDAMENTAL STUDY OF ADAPTIVE CONTROL SYSTEMS 500
微纳米加工技术及其应用 500
Nanoelectronics and Information Technology: Advanced Electronic Materials and Novel Devices 500
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 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 物理化学 基因 遗传学 催化作用 冶金 量子力学 光电子学
热门帖子
关注 科研通微信公众号,转发送积分 5318095
求助须知:如何正确求助?哪些是违规求助? 4460326
关于积分的说明 13878275
捐赠科研通 4350776
什么是DOI,文献DOI怎么找? 2389539
邀请新用户注册赠送积分活动 1383643
关于科研通互助平台的介绍 1353101