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The relationships between the Big Five personality traits and life and job satisfaction have been examined extensively. Despite this attention, however, most existing theories focus on a few global dimensions of the Big Five while relying primarily upon a selection of theoretically relevant but unmeasured facets to illuminate their factor-level explanations. The purpose of this paper is to examine personality–satisfaction relationships for job and life domains at the facet level to better identify and explain why certain global Big Five traits consistently relate to satisfaction, taking both factors and facets into account.

Data from over 20 specific occupational samples were pooled meta-analytically to examine personality facet of job/life satisfaction relationships and their generalizability. Bifactor latent variable modeling using meta-analytic input was used to examine independent contributions of general and unique personality facets.

The dominance facet of extraversion, low self-esteem facet of neuroticism, and responsibility facet of conscientiousness were most closely related to satisfaction variables. There were independent contributions of general and unique facet level personality–satisfaction relations for the neuroticism and conscientiousness domains, but not for the extraversion domain.

Findings contribute to the literature on the bandwidth–fidelity dilemma in measuring personality and theories involving personality at work.

This study established the generalizability of Big Five traits–satisfaction relations and identified the empirically supported personality paths to understanding job and life satisfaction. This study also demonstrated how meta-analysis can be combined with bifactor models to understand substantive relations.

This study aims to answer pertinent questions related to the quality of the organisational learning capability measurement model.

A time-separated design informed data collection. The organisational learning capability was exposed to classical higher-order and bifactor confirmatory factor analyses. Multigroup confirmatory factor analysis facilitated measurement invariance testing. This study assessed the predictive validity of the organisational learning capability subscales using hierarchical regression analysis.

This study replicated the second-order organisational learning capability model with four subscales. Bifactor modelling confirmed the multidimensionality of the organisational learning capability. The organisational learning capability was invariant between gender groups. The organisational learning capability subscales accounted for a significant variance in innovative work behaviour.

The organisational learning capability exhibits robust properties, making it a plausible option for monitoring the quality of organisational learning. Organisations must appreciate the quality of this dynamic capability and leverage it to generate new sources of value.

This study fills a critical gap in organisational learning-related capabilities in sub-Saharan African contexts, providing a base to influence innovation-related trajectories positively.

The purpose of this study is to examine the psychometric properties of the Career Adapt-Abilities Scale (CAAS-Arabic form) and investigates the relationship between Emirati students' employability skills and their career adaptability in the workplace, against the backdrop of the Fourth Industrial Revolution (IR 4.0).

A survey was conducted of 420 full-time, working and part-time students in their final year in the United Arab Emirates (UAEs).

As hypothesized, career adaptability is positively related to the employability skills of complex problem-solving, critical thinking, creativity, people management and coordinating with others, even when controlling for demographic characteristics.

Consistent with career construction theory, this study presents evidence of the instrumental role of skills required for IR 4.0 in managing career resources and subjective career success. Understanding the relationship between IR 4.0 skills and career adaptability offers valuable insights for academia and policymakers on formulating strategies and action plans to continually update Emirati students' transferable skills. It is also crucial for long-term success in human capital sustainability under the Emiratization policy.

This study is a preliminary step toward clarifying the complex mechanism through which career adaptability relates to career outcomes and sustaining employability. Concentrating on UAE undergraduates, this study elucidates the relationship between employability skills and career adaptability, and advocates more research employing boundary conditions that might limit their effects on adapting behaviors.

The purpose of this paper is to introduce the reader to the nature of confirmatory bifactor modelling. Confirmatory bifactor modelling is a factor analytic procedure that allows researchers to model unidimensionality and multidimensionality simultaneously. This method has important applications in the field of criminal psychology.

This paper begins by introducing the topic of factor analysis and explains how confirmatory bifactor modelling is similar yet distinct to the more familiar factor analytical procedures in the psychological literature.

Through practical examples this paper explains the value of this analytical technique to researchers in criminal psychology. Examples from the existing criminal psychological literature are used to illustrate the way in which bifactor analysis allows important theoretical questions to be addressed.

This paper highlights the strengths and limitations associated with traditional “restricted” confirmatory bifactor models and introduces the notion of the “unrestricted” bifactor model. The unrestricted bifactor model allows greater flexibility for addressing interesting research questions. The paper concludes by providing the reader with an annotated Mplus syntax file for how to perform confirmatory bifactor modelling.

The purpose of this paper is to examine the dimensionality, composite reliability, and incremental validity of the Measure of Criminal Social Identity (MCSI) in a sample of Pakistani incarcerated delinquents (n=315) following translation of the measure into Urdu.

Four alternative factor models, with uncorrelated measurement error terms, were specified and tested using confirmatory factor analysis and bifactor modelling techniques.

Results indicated that a three-factor model provided a better fit to the data than the alternative models tested. The reliability of the scale was established using composite reliability. Furthermore, structural equation modelling revealed that the three MCSI factors were differentially related with external variables, indicating that the MCSI measures substantially different domains.

Implications for theory and future research are discussed.

The results add valuable evidence as to the cross-cultural applicability of the MCSI.

Grounded in two primary theories such as (1) the triangular alignment model and (2) the technology–organization–environment framework, this paper aims to develop appropriate scales to measure the e-sourcing experience index (EEI).

The sample includes a total of 630 e-sourcing platform users in the US and India who have already utilized e-commerce platforms. Item response theory and factor analysis were used for the psychometric analysis. Measurement invariance was established between the Indian and US participants, indicating similar conceptualization of the items across the two cultures.

The study's results demonstrated that users have a better experience when online sourcing platforms provide adequate resources for making sourcing decisions, finding potential buyers and managing sourcing activities more efficiently. From the perspective of e-sourcing platforms, suppliers' performance and users' experiences can be improved when businesses address the concerns indicated in the five factors.

The study's objective was to develop the EEI in order to assess suppliers' experiences with e-sourcing platforms. Due to the diffusion of innovation theory (DOI), different stages of adaptation may cause varied experiences and relationships with buyers.

From a theoretical perspective, this study is one of the few to combine triangular alignment model (TAM) and technology–organization–environment (TOE) theories and to develop a reliable and valid scale (EEI) for user experiences with online sourcing platforms. Based on the previous scales, the EEI was found to be well in line with the established theories on traditional apparel sourcing, and, at the same time, considered the particulars of e-sourcing practices.

This study evaluates a multidimensional hierarchical scale of smart policing service quality.

Qualitative and quantitative analysis tools were used to develop a smart policing service quality scale based on the integrative psychometric scale development methodology. A multidimensional hierarchical structure was proposed for smart policing service quality; a group of preliminary items selected from literature was used for the qualitative analysis. For data collection, users of smart policing services were selected through the United Arab Emirates (UAE) research centre. Several statistical methods were employed to verify reliability and validity of the construct and nomological validity of the proposed scale.

A smart policing service quality scale of 23 items was developed based on a hierarchical factor model structure. Nomological testing indicated that overall smart policing service quality is positive and significant, thus contributing to user satisfaction, intention to continue using the system and enhanced quality of life.

This study enables managers to evaluate types of policing quality and effectively implement strategies to address security and sustainability issues that exist currently in smart services.

Previous studies on policing service quality have not sufficiently addressed the role of smart policing service quality; the nature of discussion in this area is primarily based around concepts. The development of the smart policing service quality scale provides a measurement tool for researchers to use to enhance the understanding of smart policing service quality.

Some communities in the USA are remarkably better at responding to civic challenges than others. These communities are more competent at marshaling their resources – material and human – in service of their own needs. The authors’ purpose in this paper is to enhance their collective understanding of ideas related to community-driven change and to describe the development of a civic capacity index (CCI), a measure of a community's capacity to respond to civic challenges and disruptions like COVID-19.

The authors used a concept mapping process (akin to grounded theory) to develop the CCI. Using this process, a panel of 34 scholars and practitioners of civic leadership and civic engagement worked together to create measurable descriptors of civic capacity.

The CCI measures dynamic processes related to collective leadership, inclusion of diverse voices, how institutions and coalitions address shared challenges and collaboration among community members. Sample data from several states show the CCI's scales to have high internal reliabilities and to correlate strongly with validation scales such as collective efficacy, social justice and community connectedness. Confirmatory factor analyses support a bifactor model of a general CCI factor and six CCI scales.

With the help of the CCI, civic actors can take advantage of existing civic capacity, understand where it is lacking and build resilience for the future.

To date, most scholars have used qualitative research to determine the elements of civic capacity. The authors wanted to know what civic capacity looks like in sufficient detail to assess the extent to which it is present or not in a community. Other efforts to quantify or assess civic capacity or related ideas are less comprehensive or lack the specificity to provide guidance for building and mobilizing it in communities. This work enhances our understanding of leadership in the civic arena, a little understood aspect of leadership studies.

Achieving financial well-being is essential for individuals, families and countries as it leads to life satisfaction and happiness. This study synthesizes and identifies financial well-being’s key areas and dimensions using a blended systematic literature review and bibliometric analysis approach.

The authors systematically study a sample of 467 articles from the Scopus database to identify the research trend regarding financial well-being during the last 25 years (1997–2021). Various graphs and networks are presented to understand the publication trends, influential papers, conceptual and intellectual structures and research collaboration status.

Four clusters in the field of financial well-being were found: conceptualization and antecedents of financial well-being, financial well-being of young adults, the relationship between financial literacy and financial well-being and consequences of financial well-being. Further, emerging themes in financial well-being were identified with a content analysis of the papers published during the last five years.

This study will help financial planners, regulatory bodies and academic researchers in getting a better understanding of financial well-being and in identifying potential areas for future research.

Prior to this study, no such comprehensive bibliometric analysis on financial well-being has been carried out to the best of the authors' knowledge. This gap motivated the authors to combine quantitative and qualitative methods to review the published research and do a content analysis, to identify prominent authors and publications.