Debating the Future of Work: The Perception and Reaction of the Spanish Workforce to Digitization and Automation Technologies.

Given the significant changes that are expected in the nature of work as a consequence of rapid technological advances, it is crucial that society finds ways to maximize benefits while recognizing and mitigating related challenges. This article is intended to fill a current research gap in this context by examining how aware and prepared affected workers are for the challenges predicted by research. This information is crucial since expectation and preparation of the workforce will significantly influence society's adaptability to the future.

Multisource Assessment for Development Purposes: Revisiting the Methodology of Data Analysis.

Multisource assessment (MSA) is based on the belief that assessments are valid inferences about an individual's behavior. When used for performance management purposes, convergence of views among raters is important, and therefore testing factor invariance across raters is critical. However, when MSA is used for development purposes, raters usually come from a greater number of contexts, a fact that requires a different data analysis approach.

The Power of EI Competencies Over Intelligence and Individual Performance: A Task-Dependent Model.

Prior research on emotional intelligence (EI) has highlighted the use of incremental models that assume EI and general intelligence (or ) make independent contributions to performance. Questioning this assumption, we study EI's moderation power over the relationship between and individual performance, by designing and testing a task-dependent interaction model. Reconciling divergent findings in previous studies, we propose that whenever social tasks are at stake, has a greater effect on performance as EI increases.

Design and Evaluation Process of a Personal and Motive-Based Competencies Questionnaire in Spanish-Speaking Contexts.

Most questionnaires used for managerial purposes have been developed in Anglo-Saxon countries and then adapted for other cultures. However, this process is controversial. This paper fills the gap for more culturally sensitive assessment instruments in the specific field of human resources while also addressing the methodological issues that scientists and practitioners face in the development of questionnaires.

An Alternative Approach to Analyze Ipsative Data. Revisiting Experiential Learning Theory.

The ritualistic use of statistical models regardless of the type of data actually available is a common practice across disciplines which we dare to call type zero error. Statistical models involve a series of assumptions whose existence is often neglected altogether, this is specially the case with ipsative data. This paper illustrates the consequences of this ritualistic practice within Kolb's Experiential Learning Theory (ELT) operationalized through its Learning Style Inventory (KLSI).