Job crafting interventions: what works, for whom, why, and in which contexts? Research protocol for a systematic review with coincidence analysis

心理干预 背景(考古学) 灵活性(工程) 干预(咨询) 医学 工作设计 协议(科学) 集合(抽象数据类型) 知识管理 工作(物理) 应用心理学 工作表现 工作满意度 心理学 计算机科学 社会心理学 护理部 管理 工程类 替代医学 古生物学 经济 病理 程序设计语言 生物 机械工程
作者
Marta Roczniewska,Anna Rogala,Magdalena Marszałek,Henna Hasson,Arnold B. Bakker,Ulrica von Thiele Schwarz
出处
期刊:Systematic Reviews [BioMed Central]
卷期号:12 (1) 被引量:13
标识
DOI:10.1186/s13643-023-02170-z
摘要

Abstract Background Recent challenges in the working world that resulted from the pandemic and technological advances have underlined the importance of flexibility in how jobs are designed. Job crafting (JC) refers to self-initiated changes that employees introduce to their jobs to optimize their job design and increase the fit between the job and their needs and preferences. These behaviors can be stimulated by job crafting training interventions, which aim to change how individual employees design, organize, or manage their work. However, since the interventions are implemented in various ways, we do not know which context and intervention factors are necessary or sufficient to achieve desired outcomes. Without this knowledge, benefitting from the potential of job crafting interventions is limited. The overall aim of this project will be to investigate what combinations of context, intervention, and mechanism factors are linked with effective JC interventions. Specifically, we will detect what factors are minimally sufficient and/or necessary to produce a successful JC intervention, how they combine, as well as what are the multiple alternative paths to their success. Methods We will perform a systematic review of the JC interventions literature combined with coincidence analysis (CNA). We will search electronic databases of journals and utilize Rayyan software to make decisions regarding inclusion. Data regarding context (e.g., fit), intervention (e.g., types of activities), mechanisms (e.g., intention implementation), and outcomes (e.g., employee well-being, job performance) will be extracted using a pre-piloted form and coded into a crisp-set (factor present vs. absent). Analyses will be carried out using the CNA package in R. Discussion This review will address gaps in knowledge about the context, intervention, and mechanism-related factors that may impact the effects of JC interventions. Consequently, this review will help develop a program theory for JC interventions that explains what works, how and under which circumstances. Applying CNA to synthesize these complex solutions across multiple studies provides an innovative method that may be used in future review attempts evaluating the implementation of interventions. Finally, our synthesis will provide knowledge relevant to organizational practitioners and scholars who want to implement JC interventions. Trial registration https://osf.io/2g6yx
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
认真乐双完成签到,获得积分10
刚刚
刚刚
刚刚
doewi发布了新的文献求助20
刚刚
云田完成签到,获得积分10
刚刚
Victoria完成签到,获得积分10
刚刚
上官若男应助小小邹采纳,获得20
2秒前
2秒前
上官若男应助舟舟采纳,获得10
3秒前
3秒前
8R60d8应助Victoria采纳,获得10
4秒前
卜卜脆完成签到,获得积分10
5秒前
dhts应助烤番薯采纳,获得10
5秒前
ayan发布了新的文献求助10
6秒前
6秒前
普里克先森完成签到 ,获得积分10
7秒前
7秒前
大个应助深情海安采纳,获得10
7秒前
7秒前
3113129605完成签到 ,获得积分10
7秒前
科研通AI5应助科研通管家采纳,获得10
7秒前
江峰应助科研通管家采纳,获得10
7秒前
所所应助科研通管家采纳,获得10
8秒前
Owen应助科研通管家采纳,获得10
8秒前
科研通AI5应助科研通管家采纳,获得10
8秒前
情怀应助科研通管家采纳,获得10
8秒前
赵无情应助科研通管家采纳,获得10
8秒前
彳亍1117应助浓雾采纳,获得10
8秒前
许甜甜鸭应助科研通管家采纳,获得10
8秒前
JamesPei应助科研通管家采纳,获得10
8秒前
间羟基苄醇完成签到,获得积分10
8秒前
桐桐应助科研通管家采纳,获得30
8秒前
英姑应助科研通管家采纳,获得10
8秒前
8秒前
乐乐应助科研通管家采纳,获得10
8秒前
9秒前
9秒前
10秒前
10秒前
11秒前
高分求助中
Thinking Small and Large 500
Algorithmic Mathematics in Machine Learning 500
Mapping the Stars: Celebrity, Metonymy, and the Networked Politics of Identity 400
Single Element Semiconductors: Properties and Devices 300
Getting Published in SSCI Journals: 200+ Questions and Answers for Absolute Beginners 300
Parallel Optimization 200
Deciphering Earth's History: the Practice of Stratigraphy 200
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 物理 生物化学 纳米技术 计算机科学 化学工程 内科学 复合材料 物理化学 电极 遗传学 量子力学 基因 冶金 催化作用
热门帖子
关注 科研通微信公众号,转发送积分 3835479
求助须知:如何正确求助?哪些是违规求助? 3377803
关于积分的说明 10500774
捐赠科研通 3097386
什么是DOI,文献DOI怎么找? 1705784
邀请新用户注册赠送积分活动 820705
科研通“疑难数据库(出版商)”最低求助积分说明 772219