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The purpose of this paper is to identify influential workplace engagement interventions that were initiated by managers over several years as revealed in many studies. Also, an action learning guide is offered for an individual manager to use such interventions with the employee in shaping activities to assist employee learning and performance improvement which may result in greater workplace engagement.

The first step was to examine the research literature on: the meaning of workplace engagement along with theory bases for it, the framework for stimulating employee engagement and information about action learning in the workplace. Second, was the identification of manager/organization interventions found to result in employee assessment of their own positive growth in workplace engagement? Third, we offer a practical, action learning approach.

An action guide is presented as an example of a method to assist a manager working with, in this case, a single employee. The guide is grounded on empirical research, mostly meta-analyses, and reflects positively assessed workplace engagement interventions.

In the performance management, human resources and training domains there is limited research and/or examples of practical guides for managers to use to link guidance with efforts to apply specific interventions to support employee workplace engagement. This paper provides the manager with a path to assist employees.

This paper aims to investigate how manufacturers can foster insights and improvements from real-time data among shop-floor workers by developing organisational “learning-to-learn” capabilities based on both the lean- and action learning principle of learning through problem-solving. Second, the purpose is to extrapolate findings on how action learning can enable the complementarity between lean and industry 4.0.

An insider action research approach is adopted to investigate how manufacturers can enable their shop-floor workers to foster insights and improvements from real-time data at VELUX.

The findings report that enabling shop-floor workers to use real-time data consist of developing three consecutive organisational building blocks of learning-to-learn, learning-to-learn using real-time data and learning-to-learn generating real-time data − and helping others to learn (to learn).

First, the study contributes to theory and practice by demonstrating that a learning-to-learn capability is a core construct for manufacturers seeking to enable shop-floor workers to use real-time data-capturing systems to drive improvement. Second, the study outlines how lean and industry 4.0 complementarity can be enabled by action learning. Moreover, the study allows us to deduce six necessary conditions for enabling shop-floor workers to foster insights and improvements from real-time data.

This study aims to explore the effectiveness of action learning (AL) in PA education through the action research (AR). Public administration (PA) requires training paths for its officials aimed at developing managerial skills. Training designers must construct pathways that identify goals and results to be obtained. Most importantly, they should adopt techniques that engage all stakeholders and measure training performance. This study uses the action research (AR) method to explore the effectiveness of action learning (AL) in PA education. It shows how a training project for officials of the PA can be designed and managed in a participatory and engaging manner.

The AR approach is particularly suited to long-term training interventions in PA because it offers a means of taking shared responsibility. AR aids in building a bridge between academia and practice and solving real problems with stakeholders, students and end-clients through cyclical interactions of construction, intervention and evaluation. It focuses on AL as an innovative educational tool that links knowledge and action and theory and practice.

The involvement of different stakeholders, such as teachers, students, administrators and politicians, in the design, management and evaluation process facilitates the identification of educational objectives and monitoring of outcomes in a changing public organizational context. AL is effective because it involves students as individuals and as a team, often as an organization, while trying to solve real problems.

AL through the AR approach has not been widely used in education, especially in PA, where teaching legal and administrative content combines traditional teaching methods. The case study shows the innovative potential of AL in a traditional context such as the PA.

This chapter explores the implications of acknowledging one's own excessive entitlement and living contradictions in contributing to Living-Educational-Theory Research. The analysis emphasises the importance of accepting one's educational responsibility for one's own continuing professional development in inquiries of the kind that address this query: ‘How do I improve my professional educational practices in education with values of human flourishing?’ This responsibility includes making public evidence and values-based explanations of educational influences in learning, in contributing to the global knowledge base of education.

The notion of excessive teacher entitlement was coined by Ratnam to characterise the putative deficit view of teachers that is projected onto them. Craig (2013) developed Schwab's concept, the teachers' ‘best-loved self’, to embrace teachers' input in promoting the learning and well-being of all in the institutions they serve (Ratnam & Craig, 2021). My experiences of being a living contradiction are grounded in a tension between my best-loved self and my experience of excessive entitlements. Living educational theories research in which individual practitioner-researchers generate their validated, evidence- and values-based explanations of educational influences in their own learning, in the learning of others and in the learning of the social formations that influence their practice with values of human flourishing, have helped me leverage the potential for growth afforded by this tension. The perspective draws insights from the disciplines of education including Habermas's Critical Theory. It also includes insights from other methodologies such as autoethnography, action research, phenomenology, self-study and narrative inquiry.

This study aims to reflect on “good practices” in doctoral research supervision and transfer the author’s experience to other academics. The author explains the sources of his approach to doctoral research supervision drawing on traditional practice in adult learning and some reference to phenomenology as a “meeting of minds” between academic and industry mindsets.

This is a reflective paper condensing many years of practical experience advising industry managers doing doctoral research. It is not an empirical study as such but draws on extensive practitioner experience based on many successful PhD completions in the business and management domain.

There are no empirical findings as such, but ample practical experience of doctoral research process and outcomes over 40 years of supervision in both the UK and Australian Universities.

Generalisation is limited to the number of doctoral research completions (between 70 and 80).

The paper concludes with indicators of what the author regards as “good practices” in doctoral research supervision.

None is directly applicable, but academe-industry working partnerships might be improved with the author’s learner- and customer-centred approach to doctoral research with adults in senior positions in the industry wanting to do research.

This paper is based entirely on the author’s own working experience as a senior academic in UK and Australian Universities.

This paper primarily aims to identify the multilevel learning processes emerging from abrupt telework implementation in a public knowledge-intensive organization (KIO) amid the COVID-19 crisis.

This single-case process research was guided by interpretivist epistemology. Empirical data from documentary research and 41 interviewed managers were processed by inductive qualitative analysis using the multilevel learning theoretical model.

Eight types and three modes of learning processes during the COVID-19 pandemic were identified in a public KIO, iteratively emerging in multilevel learning dynamics during the compulsory adoption of telework and replacing the face-to-face work mode conducted since its foundation.

As insider researchers, while daily and privileged access to the field was obtained, it also demanded their continuous effort to maintain transparency and scientific distancing; conceptual results are restricted to process theorisation studies, specifically the 4Is theoretical model in the scope of crisis learning process studies concerning KIOs.

This study provides evidence for managers to adopt interactive dynamics among eight multilevel types and three learning modes of emergent learning, developed during the COVID-19 pandemic, and support learning practices’ implementation and routinisation across three organizational levels in crisis situations. In addition, evidencing emergent types of learning enables organizational learning (OL) researchers to examine how organizational structures and work practices either promote or inhibit different learning types and impact multilevel learning when adopting teleworking during a crisis.

This research has theoretical value in two ways: (i) Providing empirically supported knowledge: This involves understanding multilevel learning processes resulting from emergent learning in a public KIO that abruptly adopted teleworking during a crisis context; (ii) deepening process theorization studies on OL: To achieve this, we enhance the 4I model by incorporating eight types and two modes of learning processes. These processes iteratively emerge from the individual and group levels towards the institutional level in a public KIO.

With the growing need for employees to be innovative, public-sector organizations are investing in employee training. This study aims to examine the effects of a combined Lean Six Sigma and innovation training, using action learning, on public-sector employees’ creative role identity and innovative work behavior.

The authors studied a public service agency in Singapore in which a five-day Lean Innovation Training was implemented, using a combination of Lean Six Sigma and Creative Problem-Solving tools, with a simulation on day one and subsequent team-based project coaching, spread over six months. The authors administered pre- and postintervention surveys among all the employees, and initiated group interviews and observations before, during and after the intervention.

Creative role identity and innovative work behavior had significantly improved six months after the intervention, enabled through senior management’s transformational leadership. The training induced managers to role-model innovative work behaviors while cocreating, with their employees, a renewal of their agency’s core processes. The three completed improvement projects contributed to an innovative work culture and reduced service turnaround time.

Starting with a role-playing simulation on the first day, during which leaders and followers swapped roles, the action-learning type training taught all the organizational members to use various Lean Six Sigma and Creative Problem-Solving tools. This nimble Lean Innovation Training, and subsequent team-based project coaching, exemplifies how advancing the staff’s creative role identity can have a positive impact.

Climate change poses risks to society and the demand for carbon literacy within small and medium-sized enterprises is increasing. Skills and knowledge are required for organizational greenhouse gas accounting and science-based decisions to help businesses reduce transitional risks. At the University of Copenhagen and the University of Northern British Columbia, two carbon management courses have been developed to respond to this growing need. Using an action-based co-learning model, students and business are paired to quantify and report emissions and develop climate plans and communication strategies.

This paper draws on surveys of businesses that have partnered with the co-learning model, designed to provide insight on carbon reductions and the impacts of co-learning. Data collected from 12 respondents in Denmark and 19 respondents in Canada allow for cross-institutional and international comparison in a Global North context.

Results show that while co-learning for carbon literacy is welcomed, companies identify limitations: time and resources; solution feasibility; governance and reporting structures; and communication methods. Findings reveal a need for extension, both forwards and backwards in time, indicating that the collaborations need to be lengthened and/or intensified. Balancing academic requirements detracts from usability for businesses, and while municipal and national policy and emission targets help generate a general societal understanding of the issue, there is no concrete guidance on how businesses can implement operational changes based on inventory results.

The research brings new knowledge to the field of transitional climate risks and does so with a focus on both small businesses and universities as important co-learning actors in low-carbon transitions. The comparison across geographies and institutions contributes an international solution perspective to climate change mitigation and adaptation strategies.

This study aimed to identify and describe how mentoring influences the mentor, by operationalising and specifying learning outcomes involved in mentoring.

This study used an action research approach, by uniting theory and practice to explore new ways of learning and evolve the field of practice in education. Thematic analysis was used to identify and organise patterns or themes that emerged from the data.

The results showed that mentoring changed the mentors' perspectives towards improved understanding, more flexibility and approval of other cultures. It seems that mentoring expanded the mentors' search for values, wishes and resources, including an awareness that our values, wishes and needs are more similar than different. Mentoring also seems to have improved the ability to reformulate, be flexible, strive to optimise user engagement and engage with people as they are, based on their own prerequisites.

The low number of participants means the results cannot be generalised, and voluntary participation may have led to more motivated involvement and positive results.

This study shows that mentoring has had an impact on students' development of intercultural competence and cultural sensitivity through regular meetings with individuals from a different cultural background. Mentoring seems to have revealed insights into underlying prejudices and changed perspectives towards better understanding, thus increased acceptance of other cultures.

Search for similar studies shows a lack of research that operationalises and specifies the learning outcomes that mentors gain from being a mentor.

Large class sizes are becoming the norm in higher education against concerns of dropping learning qualities. To maintain the standard of learning and add value, one of the common strategies is for the course convenor to proactively monitor student engagement with learning activities against their assessment outcomes and intervene timely. Learning analytics has been increasingly adopted to provide these insights into student engagement and their performance. This case study explores how learning analytics can be used to meet the convenor’s requirements and help reduce administrative workload in a large health science class at the University of New South Wales.

This case-based study adopts an “action learning research approach” in assessing ways of using learning analytics for reducing workload in the educator’s own context and critically reflecting on experiences for improvements. This approach emphasises reflexive methodology, where the educator constantly assesses the context, implements an intervention and reflects on the process for in-time adjustments, improvements and future development.

The results highlighted ease for the teacher towards the early “flagging” of students who may not be active within the learning management system or who have performed poorly on assessment tasks. Coupled with the ability to send emails to the “flagged” students, this has led to a more personal approach while reducing the number of steps normally required. An unanticipated outcome was the potential for additional time saving through improving the scaffolding mechanisms if the learning analytics were customisable for individual courses.

The results provide further benefits for learning analytics to assist the educator in a growing blended learning environment. They also reveal the potential for learning analytics to be an effective adjunct towards promoting personal learning design.