A Historical Comparison of Resource-Based Theory and Five Schools of Thought Within Industrial Organization Economics: Do We Have a New Theory of the Firm?

最佳显著性理论 交易成本 资源(消歧) 企业理论 经济 确认 经济租金 竞争优势 新古典经济学 实证经济学 竞赛(生物学) 资源依赖理论 产业组织 微观经济学 计算机科学 管理 计算机安全 生物 计算机网络 生态学 心理学 心理治疗师
作者
Kathleen R. Conner
出处
期刊:Journal of Management [SAGE Publishing]
卷期号:17 (1): 121-154 被引量:3080
标识
DOI:10.1177/014920639101700109
摘要

A resource-based approach to strategic management focuses on costly-to-copy attributes of the firm as sources of economic rents and, therefore, as the fundamental drivers of performance and competitive advantage. Interest presently exists in whether explicit acknowledgement of the resource-based view may form the kernel of a unifying paradigm for strategy research. This article addresses the degree to which a resource-based view represents a fundamentally different approach from theories used in industrial organization (10) economics. The central thesis is that, put informal terms, the resource-based approach is reaching for a theory of the firm. To determine its distinctiveness in comparison to IO, therefore, an appropriate comparison is with other theories of the firm developed within that tradition. Section I summarizes and analyzes five theories that have been significant in the historical evolution of IO. These are neoclassical theory's perfect competition model, Bain-type IO, the Schumpeterian and Chicago responses, and transaction cost theory. The first part of Section II analyzes the resource-based approach in terms of similarities to and differencesfrom these IO-related theories. The conclusion is that resource-based theory both incorporates and rejects at least one major element from each of them; thus resource-based theory reflects a strong IO heritage, but at the same time incorporates fundamental differences from any one of these theories. The second part of Section II analyzes resource-based theory as a new theory of the firm.
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
失眠凌青发布了新的文献求助10
刚刚
SciGPT应助淇淇采纳,获得10
刚刚
从容思卉应助依梦采纳,获得10
刚刚
2秒前
淼淼完成签到 ,获得积分10
3秒前
paper完成签到,获得积分10
5秒前
赘婿应助悦123456采纳,获得10
6秒前
彭雄武发布了新的文献求助10
7秒前
7秒前
7秒前
嘟嘟完成签到,获得积分20
10秒前
run完成签到,获得积分10
10秒前
ZHOUZHOU发布了新的文献求助10
11秒前
12秒前
疯狂小妈完成签到,获得积分10
13秒前
科研通AI6.4应助AAA采纳,获得10
13秒前
风华完成签到 ,获得积分10
14秒前
失眠凌青完成签到,获得积分10
14秒前
Orange应助彭雄武采纳,获得10
15秒前
15秒前
伶俐的不尤完成签到,获得积分10
16秒前
夜轩岚完成签到,获得积分10
16秒前
woshi123完成签到,获得积分0
17秒前
17秒前
高贵的乐枫完成签到,获得积分10
17秒前
依梦完成签到,获得积分10
18秒前
19秒前
19秒前
林韵悠扬发布了新的文献求助10
20秒前
收长头发辫子完成签到,获得积分10
20秒前
李子啊完成签到 ,获得积分10
20秒前
21秒前
予光完成签到 ,获得积分10
21秒前
科研通AI6.4应助张涛采纳,获得30
22秒前
22秒前
23秒前
淇淇发布了新的文献求助10
24秒前
叶洛洛完成签到 ,获得积分10
24秒前
25秒前
耿怀肖发布了新的文献求助10
25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
Reducing Compassion Fatigue, Secondary Traumatic Stress and Burnout 600
China Pluperfect I: Epistemology of Past and Outside in Chinese Art 520
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Mammalian Synthetic Biology 500
Auslegungsgeschichte 500
Cosmos as Art Object: Studies in Plato's Timaeus and Other Dialogues 500
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 7638992
求助须知:如何正确求助?哪些是违规求助? 9212160
关于积分的说明 19761451
捐赠科研通 7205817
什么是DOI,文献DOI怎么找? 3275939
关于科研通互助平台的介绍 2437529
邀请新用户注册赠送积分活动 2273208