A higher-order job crafting mediation model with PLS-SEM: relationship between organizational identification and communication satisfaction

IF 3.1 3区 计算机科学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Soft Computing Pub Date : 2024-07-29 DOI:10.1007/s00500-024-09667-2
Enrico Ciavolino, Mario Angelelli, Giovanna Alessia Sternativo, Elisa De carlo, Alessia Anna Catalano, Emanuela Ingusci
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Abstract

In recent years, global events have redefined working life, stimulating new organizational models. This work focuses on job crafting, which is considered the way to improve the relationship between some organizational variables and other individual variables such as organizational identification and satisfaction with communication, both of which are crucial to achieving sustainable levels of well-being. The study examines the role of latent constructs that can promote adaptive responses as well as their relations. In particular, we focus on organizational identification in promoting adaptive responses, including the increase in structural resources, the increase in challenging demands, and the increase in social resources as adaptive strategies to improve satisfaction with communication. The analysis is carried out using robust statistical techniques that are suited to the study of causal relations between abstract constructs. Specifically, after Confirmatory Composite Analysis (CCA-PLS) to evaluate the quality of the data collected, a higher order mediation model, based on partial least squares structural equation modeling (PLS-SEM), was performed to test the mediation role of the job crafting. In addition, we prioritize such latent constructs using importance–performance map analysis (IPMA) to evaluate the relevance and performance of each construct of this model. The results show a relationship between organizational identification, corresponding to a high sense of belonging, and communication satisfaction at all levels through the mediation of job crafting.

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利用 PLS-SEM 建立的高阶工作制作中介模型:组织认同与沟通满意度之间的关系
近年来,全球事件重新定义了工作生活,激发了新的组织模式。这项工作的重点是工作精心设计,它被认为是改善某些组织变量与其他个人变量(如组织认同和沟通满意度)之间关系的途径,而这两个变量对于实现可持续的幸福水平至关重要。本研究探讨了能够促进适应性反应的潜在构造的作用及其关系。我们尤其关注组织认同在促进适应性反应方面的作用,包括增加结构性资源、增加挑战性要求和增加社会资源,以此作为提高沟通满意度的适应性策略。分析采用了适合研究抽象建构之间因果关系的稳健统计技术。具体来说,在对所收集数据的质量进行确认性综合分析(CCA-PLS)评估后,我们基于偏最小二乘法结构方程模型(PLS-SEM)建立了一个高阶中介模型,以检验工作工艺的中介作用。此外,我们还利用重要性-绩效图分析法(IPMA)对这些潜在构念进行了优先排序,以评估该模型中每个构念的相关性和绩效。结果表明,通过工作设计的中介作用,与高归属感相对应的组织认同与各层次的沟通满意度之间存在关系。
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来源期刊
Soft Computing
Soft Computing 工程技术-计算机:跨学科应用
CiteScore
8.10
自引率
9.80%
发文量
927
审稿时长
7.3 months
期刊介绍: Soft Computing is dedicated to system solutions based on soft computing techniques. It provides rapid dissemination of important results in soft computing technologies, a fusion of research in evolutionary algorithms and genetic programming, neural science and neural net systems, fuzzy set theory and fuzzy systems, and chaos theory and chaotic systems. Soft Computing encourages the integration of soft computing techniques and tools into both everyday and advanced applications. By linking the ideas and techniques of soft computing with other disciplines, the journal serves as a unifying platform that fosters comparisons, extensions, and new applications. As a result, the journal is an international forum for all scientists and engineers engaged in research and development in this fast growing field.
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