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Factor analysis is the most used tool in organizational research and its widespread use in scale validations contribute to decision-making in management. However, standard factor analysis is not always applied correctly mainly due to the misuse of ordinal data as interval data and the inadequacy of the former for classical factor analysis. The purpose of this paper is to present and apply the Bayesian factor analysis for mixed data (BFAMD) in the context of empirical using the Bayesian paradigm for the construction of scales.

Ignoring the categorical nature of some variables often used in management studies, as the popular Likert scale, may result in a model with false accuracy and possibly biased estimates. To address this issue, Quinn (2004) proposed a Bayesian factor analysis model for mixed data, which is capable of modeling ordinal (qualitative measure) and continuous data (quantitative measure) jointly and allows the inclusion of qualitative information through prior distributions for the parameters’ model. This model, adopted here, presents considering advantages and allows the estimation of the posterior distribution for the latent variables estimated, making the process of inference easier.

The results show that BFAMD is an effective approach for scale validation in management studies making both exploratory and confirmatory analyses possible for the estimated factors and also allowing the analysts to insert a priori information regardless of the sample size, either by using the credible intervals for Factor Loadings or by conducting specific hypotheses tests. The flexibility of the Bayesian approach presented is counterbalanced by the fact that the main estimates used in factor analysis as uniqueness and communalities commonly lose their usual interpretation due to the choice of using prior distributions.

Considering that the development of scales through factor analysis aims to contribute to appropriate decision-making in management and the increasing misuse of ordinal scales as interval in organizational studies, this proposal seems to be effective for mixed data analyses. The findings found here are not intended to be conclusive or limiting but offer a useful starting point from which further theoretical and empirical research of Bayesian factor analysis can be built.

This study aims to increase the understanding of the emergence of a values-based (VB) premium private label (PL) brand reputation within a multiple-tier PL brand portfolio in retailing.

By building on the research on PLs, brand image, brand reputation and consumer values, this study creates a conceptual foundation for the emergence of VB PL brand reputation within a multiple-tier brand portfolio among consumers and examines the emergence of such reputation empirically using interpretive exploratory qualitative laddering interviews in the context of fast-moving consumer goods.

The findings of this study illustrate that the VB reputations of the premium PL product brand and the PL brand store intertwine, ultimately relating to two terminal values: pleasure and doing good. These reputations differ remarkably from the VB reputations of the economy PL brand and the umbrella brand of the retail chain (not doing good and financial security).

This study explains the emergence of VB brand reputation within a multiple-tier brand portfolio and introduces the use of the laddering technique in such research.

This study reminds brand managers to carefully design the relevant brand strategy for brands and their relationships under a brand umbrella.

Although much is known about PL brands and brand reputation, to the best of the authors’ knowledge, this study might be the first to increase the understanding of how a VB premium PL brand reputation emerges and accumulates from brand images within a multiple-tier brand portfolio.

Previous literature suggests that exposure to trauma has both positive and negative impacts on leadership and leadership development, although there is a lack of empirical research. This exploratory study compared military leaders’ use of transformational leadership styles (TLS) before and after trauma exposure from the followers’ perspective. This study used a retrospective pretest design to survey veteran and active duty military personnel. Significant differences were found between pre- and post-trauma exposure TLS ratings, with a mean decline in the TLS after trauma exposure. The analysis of the open-ended questions indicated a reduction in the use of the TLS after trauma, but identified positive changes in some cases. There was no evidence that changes in the TLS were concentrated in any of the five styles.

This paper aims to increase the current understanding of the connection between operational level information and communication technology (ICT) projects and national level digital transformation by researching how project governance structures and practices are applied in an e-government context.

An elaborative qualitative study through public documentary analysis and empirical multi-case research on Finnish central government is used.

The study constructs a multi-level governance structure with three main functions and applies this in an empirical setting. The results also describe how different governance practices and processes, focusing on project portfolio management, are applied vertically across different organizational levels to connect the ICT projects with the national digitalization strategy.

This study integrates project governance and portfolio management knowledge into public sector digitalization, thus contributing to project management, e-government and ICT research streams by improving the current understanding on the governance of ICT projects as part of a larger-scale digitalization. This study also highlights perceived gaps between current governance practices and provides implications to managers and practitioners working in the field to address these gaps.

The aim of this paper is to explore whether open innovation is emerging in the Italian fashion industry.

Based on available studies on innovation and open innovation, we first identified the main facets of open innovation within the industry investigated, such as the process of searching for new ideas, the involvement of external partners in the new product development process and the use of collaboration mechanisms between supply chain partners. Starting from these findings, the authors designed a semi-structured questionnaire that was used as a guideline for 15 case studies, carried out in the Italian fashion industry.

The outcomes from the case studies allow drawing some conclusions about the emergency of open innovation in the fashion industry and the related patterns.

Given its exploratory nature, this study is expected to start a debate about open innovation in the fashion industry, as well as to encourage future studies in this field.

This research sought to propose a theoretical model that analyzes the factors associated with unlearning (individual and organizational) and contributes to generating and realizing ideas among young people at the beginning of their careers based on the predominant type of structure.

The study had a sample (n = 971) and used the multivariate data analysis partial least squares - Structural Equation Modeling (PLS-SEM regular) and multigroup analysis (PLS-MGA) to identify significant differences between the estimates of the specific parameters of each group (a- Organic/b- Mechanistic).

All the direct relationships and formulated mediations were found to be supported, except for H6 (ET→EO) within the group that had a primarily mechanistic organizational structure. Thus, the more turbulent the environmental, the more initiative-taking, innovative and risk-taking a company tends to be. However, it remains to be seen whether the organizational structure plays a role in facilitating or hindering this relationship. H1 (IG→IR) indicates that predominantly organic organizations have a stronger and more consistent relationship with the knowledge developed through individual and organizational unlearning process. This knowledge contributes to the idea-generation process and ultimately leads to realizing those ideas.

The article contributes to literature by proposing an original and integrated theoretical model incorporating individual and organizational approaches to unlearning to understand the effect on idea generation and realization.

The twenty-first century education system seeks to meet the societal demands of economic effectiveness and the unique professional development needs of individuals. This paper aims to discuss the qualities of competence-oriented educational processes and the recent movement towards competence-based curricula in higher education.

This study follows a systematic literature review (SLR) methodology to explore the concept of competence within the context of educational science. The subsequent thematic synthesis analyses the findings of reviewed publications regarding graduate attributes in competence-oriented higher education and their perspectives and working-life expectations on exit profiles.

Interest in competence-oriented education, training and learning has grown in recent years, resulting in numerous theoretical and technical pedagogical applications in higher education. Nonetheless, ambiguous terminology presents a significant challenge, which is demonstrated by the inconsistent language of the study's results. Moreover, there is an obvious need for teachers' in-service training. The qualitative synthesis of this article will be useful for both educational and working life sectors to inform and promote different perspectives on competence-oriented educational processes. A clear articulation of competences is crucial for reforming higher education to meet students' interests and recognise their work-life needs.

The concept of competence has been under-investigated in higher education research and practices. This study offers novel insights and practical implications for competence-oriented learning concerning the paradigmatic change across higher education.

This study aims to bring together the available scattered knowledge about teaching and learning in Living Labs within higher education, and to explore their potential for supporting students’ sustainability-oriented transformative learning.

A literature review was conducted, applying a realist approach. A sample of 35 articles was analyzed qualitatively, mapping the data according to the realist constructs “context,” “intervention,” “mechanism” and “outcome” and using the constant comparison method for data analysis.

This study identified multiple characteristics of teaching and learning in sustainability-oriented Living Labs, namely, two socio-physical teaching and learning contexts, two pedagogical approaches as interventions therein, four learning processes as (potential) mechanisms and six sustainability-related learning outcomes. Two main challenges were also identified.

To the best of the authors’ knowledge, this is the first study that brings together the scattered results from previous studies into a comprehensive description of characteristics and challenges of teaching and learning in Living Labs as sustainability-oriented learning spaces in higher education. The findings can support educators in making scientifically grounded informed choices for teaching and learning in Living Labs and inform future empirical studies to examine when, how and why certain characteristics of teaching and learning in Living Labs, as identified in this study, can support sustainability-oriented transformative learning in higher education.

This study aims to explore how to overcome and address the loss of exploratory innovation, thereby achieving greater success in exploratory innovation. This phenomenon of loss occurs when enterprises decrease their investment in and engagement with exploratory innovation, ultimately leading to an insufficient amount of such innovation efforts. Drawing on dynamic capabilities, this study investigates the relationship between organizational foresight and exploratory innovation and examines the moderating role of breakthrough orientation/financial orientation.

This study used survey data collected from 296 Chinese high-tech companies in multiple industries and sectors.

The evidence produced by this study reveals that three elements of organizational foresight (i.e. environmental scanning capabilities, strategic selection capabilities and integrating capabilities) positively influence exploratory innovation. Furthermore, this positive effect is strengthened in the context of a high-breakthrough orientation. Moreover, the relationships among environmental scanning capabilities, strategic selection capabilities and exploratory innovation become weaker as an enterprise’s financial orientation increases, whereas a strong financial orientation does not affect the relationship between integrating capabilities and exploratory innovation.

Ambidexterity is key to successful enterprise innovation. Compared with exploitative innovation, it is by no means easy to engage in exploratory innovation, which is especially important in high-tech companies. While the loss of exploratory innovation has been observed, few empirical studies have explored ways to promote exploratory innovation more effectively. A key research implication of this study pertains to the role of organizational foresight in the improvement of exploratory innovation in the context of high-tech companies.

This paper contributes to the broader literature on exploratory innovation and organizational foresight and provides practical guidance for high-tech companies regarding ways of avoiding the loss of exploratory innovation and becoming more successful at exploratory innovation.

Considering the size and intricate nature of defense supply chains (DSC), there exists a need for a conceptual understanding regarding the precise dynamics of collaboration among the various participants engaged in these chains. This paper seeks to address the gap by investigating the practices that enable or inhibit collaborations and the development of new competencies to effectively employ a flexible response to temporary or more sustained surges in demand. Ultimately, the study aims to develop a theoretical framework relevant to the practical implementation and scholarly examination of contemporary military supply chains.

Semi-structured interviews were conducted with 51 DSC professionals in 7 embedded cases within an enterprise framework. The resulting transcripts were analyzed using constructs and concepts from a supply chain logistics (SC/L) literature analysis and synthesis relevant to our research purpose. Finally, the results were validated by an industry focus group with 12 participants representing the government, military, industry, and academia.

This research produced empirical generalizations that provide in-depth and systematic exploratory insights into collaboration’s meaning and characteristics within the DSC context. This study culminates by introducing a conceptual model and definition of defense supply chain collaboration (DSCC) and concludes by proposing future research directions.

This study makes a novel and empirical contribution to the SC/L body of knowledge by investigating embedded cases through unique access to informants within an enterprise framework that focuses on the antecedent influencing factors of collaboration within the contextual domain of the DSC and positions a future research agenda.