Openness Toward Organizational Change Scale (OTOCS): Validity evidence from Brazil and Portugal

PLoS One. 2021 Apr 19;16(4):e0249986. doi: 10.1371/journal.pone.0249986. eCollection 2021.

Abstract

Openness toward organizational change is central to employees' responses to organizations' strategic actions. This study aims to assess the validity evidence of the Openness Toward Organizational Change Scale (OTOCS) by examining the internal structure of the measure (e.g., dimensionality, reliability, measurement invariance) and its relations with other variables such as quality of work life, burnout, job satisfaction, and work engagement. A cross-sectional study was conducted using total sample of 1,175 workers, with 565 workers from Portugal and 610 from Brazil. The data provided satisfactory validity evidence based on the internal structure: the expected dimensionality was confirmed, acceptable levels of reliability were found, and measurement invariance was achieved among countries and sex. The measure also demonstrated satisfactory validity evidence based on the relations to other variables, being negatively associated with burnout and positively associated with work engagement, job satisfaction and quality of work. The OTOCS proved to be a relatively short self-report measure with satisfactory validity evidence to be used among Brazilian and Portuguese workers.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adult
  • Brazil
  • Burnout, Professional
  • Cross-Sectional Studies
  • Female
  • Humans
  • Job Satisfaction
  • Male
  • Middle Aged
  • Organizational Innovation*
  • Portugal
  • Reproducibility of Results
  • Surveys and Questionnaires
  • Work Engagement

Grants and funding

This work was produced with the support of INCD and it was funded by FCT I.P. under the project Advanced Computing Project CPCA/A0/7417/2020, platform Stratus. This research was supported by the Portuguese Foundation for Science and Technology (UID/PSI/04810/2019). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.