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This study aims to investigate the influence of two perceived organizational ethics systems (perceived ethics training quality and integrity-based climate) on the ethical decision-making (EDM) of tax accountants in Ghana. The study also examines the moderating role of the decision-makers’ financial situation on the quality ethics training–EDM relationship.

Survey data from 356 tax accountants were analyzed using the partial least squares structural equation modeling technique.

The results show that the two ethics systems influence EDM, but their extent of influence varies across the stages of EDM. Specifically, quality ethics training is a better predictor of EDM at the ethical issue recognition stage, whereas integrity-based climate is a better predictor of EDM at the ethical intention stage. The study also found that decision-makers’ financial situation predicts the ethical recognition stage of EDM but does not moderate the quality ethics training–EDM relationship.

This study recommends the concurrent deployment of quality ethics training and an integrity-based work climate to improve ethical behavior. Policymakers should also emphasize a work climate that promotes honesty, conscientiousness and ethical principles (integrity-based climate) to improve ethical intentions.

This study applied the interactionist theory by capturing the relative effects of two organizational ethics systems and an individual-level situational factor in a single model. To the best of the authors’ knowledge, this is the first study that tests the moderation effect of decision-makers’ financial situation on the ethics training–EDM relationship in a developing country context.

Apprenticeships in England, while defined by level and typical duration, are not quantified regarding the number of learning hours required to achieve the outcomes specified, as with other regulated qualifications and accredited programmes. This paper proposes an approach to ascribe credit to apprenticeships recognising both on-and-off-the-job learning to remove some of the existing barriers to accessing higher education (HE) and the professions.

A mixed methodological approach resulting in a total learning hours/credit value was proposed.

There is significant HE-wide confusion regarding the amount of learning/training that is required to complete apprenticeships in England. Whilst sector guidance made it clear that there was no prescribed method to ascribe credit to qualifications, programmes, modules, units or apprenticeships by drawing out the core principles within current practice, a key outcome of this project was the development of a method to ascribe a credit value to apprenticeships.

There is potential to support further research into the recognition of prior learning as a specialised pedagogy and for reflecting on apprenticeship practice in other roles and sectors.

Whilst the project underpinning this paper focused on the healthcare sector, the method used to ascribe credit to the level-3 healthcare support worker apprenticeship was not sector specific and can therefore be applied to apprenticeships within other contexts providing more widespread benefits to workforce development.

Policy makers must ensure that employers and providers are clear that the minimum statutory off-the-job hours constitute an apprentice employment entitlement, which must not be conflated with total apprenticeship learning hours requirements. This recommended policy clarification could assist in simplifying the process required for ascribing credit to apprenticeships and at the same time support a move towards better and more consistent recognition of the value of apprenticeship learning.

It is a first attempt to ascribe a credit value to an apprenticeship in England for the specific purpose of facilitating progression to HE.

When evaluating the efficacy of mindfulness interventions, most studies take a linear approach to explore how an intervention impacts different outcomes for individuals, and rarely is the role of intention examined. This research takes a configural approach to consider how various elements of a participant’s training expectations and their experience in the training condition combine to predict increases in psychological capital.

Employees from hospital settings were randomized into three conditions (mindfulness training, active control (Pilates), and wait-list control group) and completed surveys at three time points (baseline, post-training and three months post-training). A qualitative comparative analysis was applied to see what combinations of motivational elements were associated with increases in psychological capital.

We find that all three conditions can boost their psychological capital based on different configurations involving efficacy beliefs, baseline states of well-being (psychological capital and perceived stress) and changes in levels of mindfulness and perceived stress.

Individual characteristics, like motivation, expectancy and baseline needs, are an important consideration in addition to the training condition itself when determining whether a training is efficacious.

It is of increasing importance that organizations find ways to support employee well-being. Offering a variety of psychological and physical interventions can improve psychological capital. Applying needs assessments that clarify the desires, needs and expectations employees hold may help with intervention efficacy.

The current study offers an innovative methodology through which realist evaluation approaches can consider multiple factors to predict outcomes.

This study aims to explore the human resource management (HRM) practices related to training and feedback in the app work industry, specifically in online food delivery service, and investigate the emotional and behavioral responses of gig workers.

This study adopts a qualitative approach by interviewing 19 gig workers from six food delivery firms operating in different countries.

The results show limited training and feedback opportunities are provided to app workers, although the complexity of training and delivery methods differ across platforms. To address this shortage, app workers developed response strategies relying on social interaction.

This study adds to the research on HRM practices in the gig economy by portraying the way in which training and feedback unfold in the food delivery app ecosystem and by disclosing the gig workers’ emotional and behavioral responses to it.

This study shows that the way training activities are currently designed may provide little value to the ecosystem and are likely to produce negative emotional responses in gig workers. Thus, platform providers may make use of these findings by introducing more transparent feedback and social learning opportunities.

To the best of the authors’ knowledge, this study is among the first empirical studies on online delivery gig workers addressing specific HRM practices. It reveals significant insights for training and feedback, suggesting app economy characteristics strongly affect training and feedback practices for app workers.

This paper aims to study the agent learning from expert demonstration data while incorporating reinforcement learning (RL), which enables the agent to break through the limitations of expert demonstration data and reduces the dimensionality of the agent’s exploration space to speed up the training convergence rate.

Firstly, the decay weight function is set in the objective function of the agent’s training to combine both types of methods, and both RL and imitation learning (IL) are considered to guide the agent's behavior when updating the policy. Second, this study designs a coupling utilization method between the demonstration trajectory and the training experience, so that samples from both aspects can be combined during the agent’s learning process, and the utilization rate of the data and the agent’s learning speed can be improved.

The method is superior to other algorithms in terms of convergence speed and decision stability, avoiding training from scratch for reward values, and breaking through the restrictions brought by demonstration data.

The agent can adapt to dynamic scenes through exploration and trial-and-error mechanisms based on the experience of demonstrating trajectories. The demonstration data set used in IL and the experience samples obtained in the process of RL are coupled and used to improve the data utilization efficiency and the generalization ability of the agent.

The purpose of this study was to identify the relationship between training and financial performance in cooperative organizations.

To achieve this goal, the fixed-effect panel regression technique was used, from a single database containing hours and amounts invested in training by 35 large Brazilian agribusiness cooperatives over 10 years as the main independent variable of the econometric model. Financial performance was operationalized by the Net Margin and ROE.

It was possible to identify a positive relationship between expenditure on training and the future rate of return and profitability of the organizations in question. The results also indicate that this relationship grows stronger over the first three years after the investments are made and ceases to exist after this period. The findings are robust with regard to a series of alternative explanations and contribute to understanding the relationship between training and organizational performance in financial terms, considering the extent and duration of training.

The originality this study is justified by the pioneering spirit of presenting direct evidence linking investment in training and financial performance and the duration of this relationship. Thus, the study makes a significant contribution to the construction of knowledge on the subject.

The lack of progress toward equity in the U.S. is evident across many spheres of society, academia notwithstanding. Women academicians, in particular, face many barriers that prevent them from advancing–including a continued unsupportive climate, competing work and family demands, and interpersonal discrimination. This paper reflects on a collaborative research effort in the United States to enhance allyship for women in academia.

The authors partnered with a major university to hold ally training for department chairs during a university-wide department chair meeting. The authors developed a methodology for creating and implementing training content using a focus-group-based training needs analysis and a diversity science grounded approach to allyship training. The authors followed this up with surveys to assess impact.

Participants indicated that they learned from the training, but participation in follow-up data collection was limited, hampering the ability to conduct rigorous quantitative analyses around intervention impact.

Although the sample size may have been too limited to detect effects, the current study provides an approach that furthers the way in which researchers and practitioners can better assess the impact of allyship to women academicians.

Published research on allies is very limited. The current research examines allies in the context of helping women in academia.

Despite widespread recognition of the importance of first-line supervisors in support of diversity, limited intervention designs are available. The authors add to the extant literature on diversity interventions, while highlighting barriers to rigorous intervention evaluation.

The purpose of this study was to examine the lived experiences of working mothers during the first year of the COVID-19 pandemic and assess their perceptions of the types of training opportunities that would help advance their careers as they navigated pandemic-related challenges.

In study 1, 53 participants responded to an online survey that included open-ended questions regarding the impact COVID-19 has had on their careers and desires they have for training to ameliorate these concerns. For study 2, 10 participants completed an interview that included open-ended questions regarding workplace changes and professional development/training opportunities since the pandemic.

Thematic analysis showed mothers facing several setbacks in their careers, including delays, loss of hours and wages, childcare stressors and strained or lost relationships with colleagues and supervisors. A small number of participants also reported some surprisingly positive experiences, such as a push toward career innovation. Participants reported little to no exposure to career development opportunities and expressed a desire for training for leadership and interpersonal connection in the workplace.

Although quantitative data have been helpful in identifying and quantifying growing gender gaps in work during the pandemic, the qualitative analyses the authors used highlight how recent difficulties encountered by working mothers risk a growing gender gap in work and career mobility as women in the leadership pipeline struggle with challenges. Further, the findings suggest ways that women in management can support the working mothers on their staff, including by suggesting ways additional training may address some concerns.

This research paper investigates the theoretical frameworks encompassing a nuanced analysis of the digital divide in the Indian educational context, recognising that it is not merely a matter of technology access but also the ability to effectively use the resource for enhancing learning outcomes. This research provides valuable insights for fostering a more equitable and digitally inclusive learning environment by integrating conceptual insights with empirical evidence. The New Education Policy (NEP), India 2020 firmly emphasises the appropriate integration of technology into the teaching-learning process to develop relevant competencies. The pertinent question is, for India to conquer the second digital divide challenge, is the pace of technology accessibility and skill development sufficient?

The paper is a desk research, using secondary data from the Unified District Information System for Education (UDISE+), the Indian Government database of schools. A structured dataset has been created for all years, where states are grouped in descending ranking order of availability of infrastructure and teachers trained. A colour key segregates the States into three zones demonstrating their different levels of performance – high (green), moderate (blue) and low (yellow). The purpose is to identify state/s that have moved from one zone to another and, thereafter, analyse the reasons behind the movement.

Almost all states remained in the same digital resource availability zone for the four years studied, except for a limited few. Despite government interventions through higher budget allocation and targeted policies, growth rates of teacher training in computer usage slowed down post-COVID-19. A high positive correlation between Teachers' training in computer usage and the availability of computer and Internet facilities in schools indicates that an increase in digital infrastructure in schools is highly linked to teachers' training in computer usage and would ultimately translate into better use of digital resources to impart equitable education opportunities.

Primary data collection through interviews might have added to the critical findings. Therefore, researchers are encouraged to test the proposed propositions further on a case-by-case basis for any state under consideration.

Enhancing digital infrastructure in schools and building digital competence in teachers must be understood in the context of the learning organisation and the beneficiaries' attitudes at the meso-level to expand stakeholder motivation towards digital internalisation. This requires continuous engagement with education institutions as professional learning organisations, which will thereby help develop a decentralised context for teacher competency building. Collaboration, continuous monitoring of the outcomes of professional development programs, and sharing best practices are crucial in improving teacher readiness for digital education.

Access to tangible resources, such as computers, Internet connectivity and educational software, and developing intangible resources, such as teacher digital competencies, will play a pivotal role in shaping students' learning experiences. By studying the discrepancies in digital resource accessibility and teacher technology adoption, this research endeavours to add to the efforts towards enhancing the educational landscape.

This paper seeks to address a critical issue in the Indian education system and contribute to the ongoing effort to prevent the widening of the second and third digital divide in schools, and help achieve UN SDG Goals 4 and 10.

The purpose of this study is to determine what technological strategies were used within each of the phases of the ADDIE framework when developing content for professional training. The study also examined the affordances of those technologies in training.

A PRISMA systematic review methodology (Moher et al., 2015) was utilized to answer the four questions guiding this study. Specifically, the PRISMA extension Preferred Reporting Items for Systematic Reviews and Meta-Analysis for Protocols (PRISMA-P, Moher et al., 2015) was used to direct each stage of the research, from the literature review to the conclusion. In addition, the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA principles; Liberati et al., 2009) are used to guide the article selection process.

The findings reveal that the majority of the studies were in healthcare (36%) and education (24%) and used an online format (65%). There was a wide distribution of ADDIE used with technology across the globe. The coding for the benefits of technology use in the development of the training solution revealed four trends: 1) usability, 2) learning approaches, 3) learner experience and 4) financial.

This systematic review only examined articles published in English, which may bias the findings to a Western understanding of how technology is used within the ADDIE framework. Furthermore, the study examined only peer-review academic articles from scholarly journals and conferences. While this provided a high level of assurance about the quality of the studies, it does not include other reports directly from training providers and other organizations.

These findings can be used as a springboard for training providers, scholars, funders and practitioners, providing rigorous insight into how technology has been used within the ADDIE framework, the types of technology, and the benefits of using technology. This insight can be used when designing future training solutions with a better understanding of how technology can support learning.

This study provides insight into the uses of technology in training. Many of these findings and uses of technology within ADDIE can also transfer to other aspects of society.

This study is unique in that it provides the scholarly community with the first systematic review to examine what technological strategies were used within each of the phases of the ADDIE structure and how these technologies provided benefits to developing a training solution.