重要提醒:2025.12.15 12:00-12:50期间发布的求助,下载出现了问题,现在已经修复完毕,请重新下载即可。如非文件错误,请不要进行驳回。

How Ability, Motivation, and Opportunity Drive Individual Performance Behaviors in Projects: Tests of Competing Theories

自决论 目标理论 社会心理学 实证研究 内在动机 成就的需要 心理学 政治学 自治 认识论 哲学 法学
作者
Martin Morgan Tuuli,Henk van Rhee
出处
期刊:Journal of Management in Engineering [American Society of Civil Engineers]
卷期号:37 (6) 被引量:6
标识
DOI:10.1061/(asce)me.1943-5479.0000969
摘要

Organizations continue to struggle with underperforming workforces in projects. The ability–motivation–opportunity (AMO) framework may hold the key to determining what factors can foster improved performance in projects. Despite decades of research, however, the precise interplay of ability, motivation, and opportunity, as well as how they influence behavior, remains largely unclear. In the literature, four competing theories specify the mechanisms by which ability, motivation, and opportunity influence behaviors. However, there is a dearth of empirical studies comparing the various theories. This research shed light on which theory better predicts how ability, motivation, and opportunity influence performance behaviors, because the differences between the four theories are not merely conceptual but have vastly different implications for practice. The findings suggested that, empirically, performance behaviors are better predicted by the additive theory, which states that, on average, ability, motivation, and opportunity contribute additively to an individual's performance behaviors. Interestingly, this study also found support for the notion that ability, motivation, and opportunity are singly necessary for performance behaviors to occur. Taken together, the findings imply that the necessity of minimal levels of ability, motivation, and opportunity applies at high(er) levels of performance behaviors whereas the additive model explains the average effect of ability, motivation, and opportunity on performance behaviors.
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
刚刚
情怀应助doranlou采纳,获得30
刚刚
布吉岛完成签到,获得积分10
刚刚
刚刚
Chenzhs完成签到,获得积分10
1秒前
管遥完成签到,获得积分10
1秒前
1秒前
善良诗珊完成签到,获得积分10
2秒前
布吉岛发布了新的文献求助10
2秒前
一碗晚月完成签到,获得积分10
2秒前
Morssax完成签到,获得积分10
4秒前
4秒前
浮游应助zhuzhu采纳,获得10
4秒前
稳重盼夏发布了新的文献求助10
5秒前
wanci应助碧蓝的往事采纳,获得10
5秒前
5秒前
5秒前
5秒前
疯子零零完成签到,获得积分10
6秒前
眯眯眼的语雪完成签到,获得积分10
6秒前
7秒前
WY完成签到,获得积分10
7秒前
STEAD完成签到,获得积分10
9秒前
DrPanda完成签到,获得积分10
9秒前
小太阳发布了新的文献求助10
9秒前
研友_VZG7GZ应助Penn采纳,获得10
9秒前
10秒前
无花果应助眯眯眼的语雪采纳,获得10
10秒前
卡卡罗特完成签到,获得积分10
10秒前
量子星尘发布了新的文献求助10
10秒前
10秒前
10秒前
aaaa完成签到,获得积分10
11秒前
13秒前
zhouyong完成签到,获得积分10
13秒前
浮游应助Literaturecome采纳,获得10
14秒前
masterwill发布了新的文献求助10
14秒前
lz发布了新的文献求助10
15秒前
16秒前
yafei完成签到 ,获得积分10
16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
List of 1,091 Public Pension Profiles by Region 1001
On the application of advanced modeling tools to the SLB analysis in NuScale. Part I: TRACE/PARCS, TRACE/PANTHER and ATHLET/DYN3D 500
L-Arginine Encapsulated Mesoporous MCM-41 Nanoparticles: A Study on In Vitro Release as Well as Kinetics 500
Haematolymphoid Tumours (Part A and Part B, WHO Classification of Tumours, 5th Edition, Volume 11) 400
Virus-like particles empower RNAi for effective control of a Coleopteran pest 400
Unraveling the Causalities of Genetic Variations - Recent Advances in Cytogenetics 400
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 5465838
求助须知:如何正确求助?哪些是违规求助? 4570083
关于积分的说明 14322455
捐赠科研通 4496549
什么是DOI,文献DOI怎么找? 2463392
邀请新用户注册赠送积分活动 1452295
关于科研通互助平台的介绍 1427497