情感性工作事件中感性的概念化——反生产行为模型

N. Ibrahim, Zafir Khan Mohamed Makhbul, A. Ayob, M. Nagamachi, A. Lokman
{"title":"情感性工作事件中感性的概念化——反生产行为模型","authors":"N. Ibrahim, Zafir Khan Mohamed Makhbul, A. Ayob, M. Nagamachi, A. Lokman","doi":"10.5821/conference-9788419184849.16","DOIUrl":null,"url":null,"abstract":"Studies on Counterproductive Work Behaviour (CWB) have attracted wide interest among scholars. CWB is a subset of unethical behaviour that seems unbearable since it intentionally harms both organisations and people in the organisations. In general, literature holds that CWB is determined by work events and affective state. However, most studies are restricted to examining a single work event which prevents us from understanding the simultaneous effect of multiple work events. In addition, prior research widely utilised a self-reporting mechanism in capturing the affective experiences at work resulting in common method bias and other issues like time constraints, low response rate, etc. Drawing on Affective Events Theory (AET), affective work events, and CWB literature, this article provides an important extension to the CWB literature by proposing multiple work events that predict affective experiences and CWB at work. Additionally, the Kansei Engineering-Kawakita Jiro method is introduced as a substitute for the existing self-reporting mechanism in capturing affective work events. This article offers theoretical insights that may facilitate empirical research to explore the role of affective experiences within the CWB spectrum. The introduced conceptual ideas are targeted to be a useful guide for practitioners to craft appropriate strategies to combat employees’ CWB.","PeriodicalId":433529,"journal":{"name":"9th International Conference on Kansei Engineering and Emotion Research. KEER2022. Proceedings","volume":"24 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Conceptualising Kansei in Affective Work Events Counterproductive Work Behaviour Model\",\"authors\":\"N. Ibrahim, Zafir Khan Mohamed Makhbul, A. Ayob, M. Nagamachi, A. Lokman\",\"doi\":\"10.5821/conference-9788419184849.16\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Studies on Counterproductive Work Behaviour (CWB) have attracted wide interest among scholars. CWB is a subset of unethical behaviour that seems unbearable since it intentionally harms both organisations and people in the organisations. In general, literature holds that CWB is determined by work events and affective state. However, most studies are restricted to examining a single work event which prevents us from understanding the simultaneous effect of multiple work events. In addition, prior research widely utilised a self-reporting mechanism in capturing the affective experiences at work resulting in common method bias and other issues like time constraints, low response rate, etc. Drawing on Affective Events Theory (AET), affective work events, and CWB literature, this article provides an important extension to the CWB literature by proposing multiple work events that predict affective experiences and CWB at work. Additionally, the Kansei Engineering-Kawakita Jiro method is introduced as a substitute for the existing self-reporting mechanism in capturing affective work events. This article offers theoretical insights that may facilitate empirical research to explore the role of affective experiences within the CWB spectrum. The introduced conceptual ideas are targeted to be a useful guide for practitioners to craft appropriate strategies to combat employees’ CWB.\",\"PeriodicalId\":433529,\"journal\":{\"name\":\"9th International Conference on Kansei Engineering and Emotion Research. KEER2022. Proceedings\",\"volume\":\"24 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"9th International Conference on Kansei Engineering and Emotion Research. KEER2022. Proceedings\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.5821/conference-9788419184849.16\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"9th International Conference on Kansei Engineering and Emotion Research. KEER2022. Proceedings","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5821/conference-9788419184849.16","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

摘要

反生产行为的研究引起了学者们的广泛关注。绕道是不道德行为的一个子集,它似乎是无法忍受的,因为它故意伤害组织和组织中的人。一般来说,文献认为CWB是由工作事件和情感状态决定的。然而,大多数研究仅限于检查单个工作事件,这阻碍了我们理解多个工作事件的同时影响。此外,先前的研究广泛采用自我报告机制来捕捉工作中的情感体验,导致了共同方法偏差和时间限制、低反应率等问题。本文借鉴情感事件理论(AET)、情感工作事件和CWB文献,通过提出多个工作事件来预测工作中的情感体验和CWB,为CWB文献提供了重要的扩展。此外,感性工学-川田次郎方法被引入,作为现有的自我报告机制在捕捉情感工作事件的替代品。本文提供的理论见解可能有助于实证研究探索情感体验在CWB频谱中的作用。介绍的概念概念旨在为从业员提供有用的指引,以制定适当的策略,打击雇员的中环湾仔绕道。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Conceptualising Kansei in Affective Work Events Counterproductive Work Behaviour Model
Studies on Counterproductive Work Behaviour (CWB) have attracted wide interest among scholars. CWB is a subset of unethical behaviour that seems unbearable since it intentionally harms both organisations and people in the organisations. In general, literature holds that CWB is determined by work events and affective state. However, most studies are restricted to examining a single work event which prevents us from understanding the simultaneous effect of multiple work events. In addition, prior research widely utilised a self-reporting mechanism in capturing the affective experiences at work resulting in common method bias and other issues like time constraints, low response rate, etc. Drawing on Affective Events Theory (AET), affective work events, and CWB literature, this article provides an important extension to the CWB literature by proposing multiple work events that predict affective experiences and CWB at work. Additionally, the Kansei Engineering-Kawakita Jiro method is introduced as a substitute for the existing self-reporting mechanism in capturing affective work events. This article offers theoretical insights that may facilitate empirical research to explore the role of affective experiences within the CWB spectrum. The introduced conceptual ideas are targeted to be a useful guide for practitioners to craft appropriate strategies to combat employees’ CWB.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信