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This study aims to investigate a unique approach to learning languages through self-directed online learning. Specifically, it explores the self-management abilities and skills learners need while learning a language outside traditional classroom settings when using mobile-assisted learning technology.

A mixed-methods approach was used in this study, including an online survey of 84 people and 10 semi-structured interviews.

Findings reveal the significant role of specific and well-defined learning goals in enhancing learners’ performance. These goals can be either self-initiated by the learners themselves or defined by the technological features of the learning platform. However, the presence of distractions in learners’ daily lives presents challenges to effective time management, affecting learners both physically and psychologically. A key aspect of self-directed language learning lies in the learners’ ability to seek out relevant human and material resources beyond the confines of a single mobile-assisted language learning (MALL) tool. The authenticity of these resources is crucial in ensuring meaningful and effective learning experiences.

Understanding how learners navigate and discover valuable resources is a central focus of this study. This research offers valuable insights into the field of self-directed language learning, revealing the pivotal role of self-management skills with mobile-assisted learning technology. The findings contribute to the broader field of language education and offer practical implications for educators and developers seeking to optimize self-directed language learning experiences through innovative and technologically driven approaches.

MALL is often ideal for individualized informal learning, but the existing literature focuses heavily on formal learning situations, underestimating the importance of MALL practices in various informal settings. Most research reports on MALL-based self-directed learning primarily sample traditional English-learning university students. Therefore, there is a need for research on how nontraditional older adult learners self-direct their language learning with mobile technology outside the classroom.

Given that 45% of new businesses fail in their first five years (US Bureau of Labor Statistics, 2020), individuals often observe others' entrepreneurial failures (EFs) in their vicinity. The purpose of this paper is to review the effects of vicarious EFs on individuals by proposing both entrepreneurial self-efficacy and entrepreneurial identity aspiration as mediators, which are widely studied proximal antecedents of entrepreneurial intent.

Using structural equation modeling, the authors empirically test survey data collected from 10,020 college students across 46 colleges or universities in Brazil. The hypothesized model examines the mediating effects of vicarious EFs on individuals' entrepreneurial intent via entrepreneurial self-efficacy and entrepreneurial identity aspiration.

The findings confirm that vicarious EFs negatively affect one's entrepreneurial self-efficacy and that entrepreneurial self-efficacy mediates the effect of vicarious EFs on one's entrepreneurial intent. On the other hand, vicarious EFs positively affect one's entrepreneurial identity aspiration, and entrepreneurial identity aspiration mediates the effect of vicarious failures on entrepreneurial intent.

The entrepreneurship literature focuses mainly on the consequences of EF on those entrepreneurs who have experienced failure. However, there is a lack of knowledge regarding how that failure impacts others in its vicinity. This study provides new insight into the effects of vicarious EFs in facilitating individuals' entrepreneurial intent and presents theoretical and practical implications to promote greater levels of entrepreneurial intent in individuals.

The aim of this paper is to examine the usefulness of the stimulus-organism-response (S-O-R) model for systematizing and further exploring the knowledge of the role of entrepreneurship education (EE) in fostering students' entrepreneurial mindset (EM). Current research studying the EM in an educational setting often fails to conceptualize this mindset and its attributes rigorously and to include epistemological considerations regarding how the authors can know whether a person has developed an EM or not.

The authors test the S-O-R model by combining it with a critical realist approach to develop a conceptual model for understanding the EM and its development in an educational setting.

The authors identify eight psychological constructs that represent markers of the EM. The authors further surface the multi-causal characteristic of learning in EE. The authors' model cannot be applied to detect causal relationships, but it is useful in exploring potential causal tendencies and plausible explanations of the mechanisms and circumstances of EE, which may, in concert, potentially foster the psychological attributes associated with an EM.

The paper addresses the often-overlooked epistemological considerations related to how the authors can know anything about psychological and theoretical constructs, such as the EM. A conscious discussion about how the authors can develop knowledge and insight about the EM and how individuals develop it is critical to justify a continued focus on the EM in EE.

This study aims to assess how undergraduates’ exposure to entrepreneurship education (EE) may increase their volitional desire and behavioral control to start-up a business.

The model establishes three different paths from EE to entrepreneurial intention (EI): attraction and passion through desire and confidence through control. These paths are assessed by partial least-squares structural equation modeling in a sample of 650 undergraduates from Poland, Turkey and Portugal.

The most effective way by which EE may increase EI is by promoting a favorable change in the attractiveness of the entrepreneurship career. Contrary to expectations based on the literature, the effects of EE on perceived behavioral control are weak and limited to aspects related to financial control.

EE programs should consider desire and control in different phases of training, with the following learning outcomes: explore prospective rewards of an attractive entrepreneurial career, develop self-efficacy regarding management competences and gain control by assuring skills to cope with failure.

To the best of the authors’ knowledge, this study is the first to establish a path from EE to EI through passion and desire. It is also the first to consider entrepreneurial passion as a positive anticipated emotion in the model of goal-directed behavior. The results allow to relate the different paths with different learning outcomes of EE programs.

Due to their multifarious backgrounds, multinational enterprises from emerging economies offer unique research opportunities to push the boundaries of our understanding knowledge of diversity management in transitional contexts. In that regard, Central and Eastern European multinationals present a blind spot in diversity management research.

This article examines the extent to which context shapes the discourse on diversity management in the Oil and Gas industry across Central and Eastern Europe (CEE) through a qualitative approach based on content analyses of corporate communication data matched with data on national institutional contexts.

The data suggests a lack of effective pro-diversity pressures across CEE except for cultural pressure in European Union member countries. However, CEE Oil and Gas companies report a broader scope of diversity management than studies of Western counterparts suggest. Companies with subsidiaries in Western countries show convergence towards etic diversity approaches, while local and regional companies are more divergent.

This article defines the boundary conditions of diversity management in the Oil and Gas industry across nine CEE countries and how they impact the diversity discourse in the industry. This article also showcases the impact of foreign market presence in the West as a driver for diversity management reporting.

Transfer motivation has been identified as a pivotal factor influencing transfer of training. However, the role of training content has often been overlooked as explanatory variable for the rate of transfer motivation. This study aims to examine to what extent experiences in transfer motivation and its personal and contextual antecedents depend on whether the training content is soft or hard skill. To this end, this study used the perspective of the unified model of task-specific motivation.

A total of 1,122 trainees (462 soft skill and 660 hard skill) filled out a questionnaire representing the components of transfer motivation and its personal- and contextual antecedents. Data were analyzed by means of multi group structural equation modeling.

The results showed mean differences between soft- and hard-skill trainings in personal- and contextual antecedents of transfer motivation and for different types of transfer motivation. However, no differences in transfer intention were found.

The outcomes provide insight as to what practitioners and trainers could do in training design and work environments to raise personal and contextual antecedents and to what extent a differentiation should be made between soft- and hard-skill trainings. This can eventually help them in raising transfer motivation among trainees.

To the best of the authors’ knowledge, this study is the first that examines whether experiences in personal and contextual antecedents of transfer motivation, transfer motivation and transfer intention differ for trainings consisting of different characteristics.

This study aims to investigate the merits of the unified model of task-specific motivation (UMTM) in predicting transfer of training and to investigate (relationships between) changes in UMTM components over time. In doing so, this study takes the multidimensionality of transfer motivation into account.

The authors collected data among 514 employees of the judiciary who filled in the UMTM questionnaire directly after the training and after three weeks. The data were analyzed by means of structural equation modelling.

The outcomes show that transfer motivation predicts transfer intention and transfer of training over time. Moreover, the study shows that (change in) transfer motivation is predicted by (change in) personal and contextual factors identified by the UMTM as antecedents of motivation.

This study describes the first longitudinal evaluation of the UMTM in the literature and shows its applicability for predicting transfer of training. It is also one of the few studies that investigate transfer motivation multidimensionally and the role it plays for transfer of training. As such, this study informs other transfer of training models about the nature of transfer motivation and how transfer of training could be predicted.

The massive investment in, and development of, automated and connected transport (ACT) technology development has triggered much debate about this breakthrough technology’s potential positive and negative impacts. Multiple studies have explored the potential direct implications for users in terms of road safety, ‘productive’ travel time, mobility of the elderly and physically less mobile persons, as well as indirect impacts such as reduced emissions and freed road space. Through a critical review of the literature on ACT deployment types and discussions with an expert working group on the wider impacts of ACT implementation, this chapter examines four distinct deployment types of ACT technology and their opportunities and threats in transitioning toward inclusive transport systems. Of the four types, we posit that ACT-based public transport has the greatest potential to contribute to a more inclusive mobility future. Examining the case of Singapore using policy documents, academic literature and interviews with representatives of public and private sectors and academia, the chapter draws policy recommendations for governance toward more inclusive ACT innovation and deployment.

The purpose of this paper is to test and develop a method for generation and selection of six sigma projects. This is done by testing the use of the generation and selection method for six sigma projects (GSM_SSP) in a Brazilian manufacturing industry with the participation of managers, aiming to gather the user’s perspective and improvement opportunities for the approach itself.

The work adopts the action research (AR) approach once the researchers were busily involved in the training, implementation and use of the GSM_SSP. The intervention was performed in on a series of 15 workshops, with a group of managers, during six months.

The application of the eight steps of the GSM_SSP approach assisted the company’s management team to generate nine project candidates and also to select three six sigma projects. This study also finds and discusses barriers and lessons learned used to improve the GSM_SSP.

This study presents an example of how six sigma project generation and selection has been applied to a manufacturing industry by adapting AR to the process using the eight steps of GSM_SSP, demonstrating how the management team was involved. This study should be replicated in different companies because AR is limited in its generalization.

To the best of the authors’ knowledge, this study represents the first use of AR methodology in six sigma project selection. This study contributes a method that can generate and select six sigma projects. In doing so, the research offers a simple approach that can be used by managers. In addition, the steps of the approach before selection were explored.

The idea of relating health, education and other social sector variables with growth and development, or trying to find any convergence among similar countries with respect to such macroeconomic indicators is the basic idea of this chapter, which explores the concept of enhancing welfare through a subjective route, specifically by way of expenditure in health care. By way of testing σ- and β-convergence of current healthcare expenditure per capita of the BRICS countries for the period 2006–2018, it has been found that these countries catch up with significant convergence. It has also been obtained through panel data analysis that such convergence is significantly explained by gross domestic product (GDP) per capita, life expectancy at birth, elderly ratio, CO₂ emissions and prevalence of undernourishment, all of which are in accordance with conventional hypotheses. This chapter claims that, by way of convergence, the BRICS nations may emerge as a new economic power, and expenditure on health care is one of the major areas, among other social sector variables that will play an important role.