Comparing agility and absorptive capacity for superior firm performance in dynamic environment

作者
Vikas Verma,Sangeeta Shah Bharadwaj,Madhushree Nanda
出处
期刊:International Journal of Business Environment [Inderscience Publishers]
卷期号:9 (1): 1-1 被引量:18
标识
DOI:10.1504/ijbe.2017.084703
摘要

With increased environment dynamism, firm agility has grabbed the attention of both researchers and practitioners. Firm agility has been conceptualised as dynamic capability comprising of sensing capability, responding capability and alignment between sensing and responding capability. Agility has often been compared with absorptive capacity, another dynamic capability. However, these comparisons lack depth. We compare and contrast agility with absorptive capacity. For this, we trace back the evolution of the two concepts which leads us to the emergence of convergence between the two. We then compare the two at construct level. We show how the sensing and responding components of agility are similar to potential and realised absorptive capacity components of Absorptive capacity. Through a review of alignment literature, we propose that agility could be a special case of absorptive capacity where potential and realised absorptive capacities are aligned for superior firm performance in dynamic environment. This convergence between agility and absorptive capacity could enrich dynamic capabilities frameworks for a dynamic environment.

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
刚刚
1秒前
无情翅膀完成签到 ,获得积分10
1秒前
啦啦啦河北完成签到 ,获得积分10
3秒前
jgaotao发布了新的文献求助10
3秒前
3秒前
Felicity发布了新的文献求助10
4秒前
msk完成签到 ,获得积分10
4秒前
5秒前
西哥完成签到,获得积分10
5秒前
123发布了新的文献求助10
6秒前
6秒前
7秒前
XLL小绿绿应助现代白猫采纳,获得30
7秒前
电池小能手完成签到,获得积分10
8秒前
8秒前
受伤雨南发布了新的文献求助10
8秒前
苏苏诺诺2023完成签到,获得积分10
9秒前
9秒前
myLv98完成签到,获得积分10
9秒前
清清完成签到,获得积分10
10秒前
柚子皮发布了新的文献求助20
10秒前
zhao发布了新的文献求助10
10秒前
1104481279发布了新的文献求助30
11秒前
11秒前
12秒前
称心的之玉完成签到 ,获得积分10
13秒前
华仔应助zhongcy采纳,获得10
13秒前
影子鱼完成签到,获得积分10
14秒前
Zhaoyuemeng完成签到 ,获得积分10
14秒前
14秒前
chongchong完成签到 ,获得积分10
14秒前
飞虎完成签到,获得积分0
15秒前
15秒前
小张要当好医生完成签到,获得积分10
15秒前
机智之桃完成签到,获得积分10
15秒前
tata0215完成签到 ,获得积分10
16秒前
Akim应助迷你的慕凝采纳,获得10
16秒前
碱性染料发布了新的文献求助30
17秒前
生如夏花98完成签到,获得积分20
17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
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Handbuch Trainingswissenschaft – Trainingslehre 500
Additive Manufacturing Design and Applications (ASM Handbook, Volume 24A) 500
Variations: A More Diverse Picture of Contemporary Art 400
A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM) Fourth Edition 400
Induction Heating and Heat Treatment (ASM Handbook, Volume 4C) 300
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7586778
求助须知:如何正确求助?哪些是违规求助? 9165098
关于积分的说明 19614612
捐赠科研通 7167197
什么是DOI,文献DOI怎么找? 3266728
关于科研通互助平台的介绍 2431714
邀请新用户注册赠送积分活动 2258563