A higher-order life crafting scale validation using PLS-CCA: the Italian version

Ingusci, Emanuela; Angelelli, Mario; Sternativo, Giovanna Alessia; Catalano, Alessia Anna; De Carlo, Elisa; Cortese, Claudio G.; Demerouti, Evangelia; Ciavolino, Enrico

doi:10.1007/s41237-023-00209-y

Behaviormetrika

2023

DOI: 10.1007/s41237-023-00209-y

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A higher-order life crafting scale validation using PLS-CCA: the Italian version

Emanuela Ingusci,

Mario Angelelli,

Giovanna Alessia Sternativo

et al.

Abstract: In this study, we highlight Life Crafting Scale (LCS) factor structure and model specifications by using partial least squares structural equations modelling (PLS-SEM) and confirmatory composite analysis (CCA), with a sample of Italian students ($$n=953$$ n = 953 ). From the validation results obtained through PLS-CCA, we identify the emergence of both the reflective nature of the scores of the LCS subscale an… Show more

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2024

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Cited by 4 publications

References 89 publications

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Representations of epistemic uncertainty and awareness in data-driven strategies

Angelelli,

Gervasi,

Ciavolino

2024

Soft Comput

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The diffusion of AI and big data is reshaping decision-making processes by increasing the amount of information that supports decisions, while reducing direct interaction with data and empirical evidence. This paradigm shift introduces new sources of uncertainty, as limited data observability results in ambiguity and a lack of interpretability. The need for the proper analysis of data-driven strategies motivates the search for new models that can describe this type of bounded access to knowledge.This contribution presents a novel theoretical model for uncertainty in knowledge representation and its transfer mediated by agents. We provide a dynamical description of knowledge states by endowing our model with a structure to compare and combine them. Specifically, an update is represented through combinations, and its explainability is based on its consistency in different dimensional representations. We look at inequivalent knowledge representations in terms of multiplicity of inferences, preference relations, and information measures. Furthermore, we define a formal analogy with two scenarios that illustrate non-classical uncertainty in terms of ambiguity (Ellsberg’s model) and reasoning about knowledge mediated by other agents observing data (Wigner’s Friend). Finally, we discuss some implications of the proposed model for data-driven strategies, with special attention to reasoning under uncertainty about business value dimensions and the design of measurement tools for their assessment.

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Representations of epistemic uncertainty and awareness in data-driven strategies

Angelelli,

Gervasi,

Ciavolino

2024

Soft Comput

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

Ciavolino,

Angelelli,

Sternativo

et al. 2024

Soft Comput

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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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Issues in behavioral data science

Iodice D’Enza,

Markos,

Kurihara

2024

Behaviormetrika

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A higher-order life crafting scale validation using PLS-CCA: the Italian version

Cited by 4 publications

References 89 publications

Representations of epistemic uncertainty and awareness in data-driven strategies

Representations of epistemic uncertainty and awareness in data-driven strategies

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

Issues in behavioral data science

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