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The importance of modeling digital leadership in quickly digitizing countries, like the United Arab Emirates (UAE), is inevitable for building leadership capabilities to lead, engage and motivate remote employees in the digital environment. Using Blake and Mouton Grid, the current study examines the behavioral approach used by the leaders from both public and private sectors while managing their workforce digitally in the period of the pandemic, when 70% of the workforce worked remotely for the first-time in the region.

An online survey was conducted by the managerial employees working in different firms using self-administered questionnaires and adopting the snowball sampling technique. In total, 476 respondents participated in the study from both the Emirates of Abu Dhabi and Dubai.

The analysis using IBM SPSS and Smart PLS software reported that 9 out of 10 leaders positioned their digital leadership style well above the middle-of-the-road management style (5,5) oriented towards team management (9,9); with 7 out of 9 displaying high team management leadership style, while managing remote workers. However, millennials displayed higher task orientation when compared to generation-x leaders, who concentrated more on their relations with the workers.

The findings have implications for practitioners in technology driven regions. Also the results highlighting the task-oriented approach of millennials digital leaders have implication for owners and board of directors of the firms that seniority is not the only credible approach for leadership positions.

The study reveals the behavioral styles beneficial for digital leaders to develop their leadership capabilities and increase their effectiveness while managing the workforce digitally. Black Mountain Grid and its two-dimensional leadership matrix has been found to be a useful conceptual approach for understanding digital leadership behaviors, and based on study findings, recommendations have been provided to effectively improve its utilization for leading teams. The findings have implications for practitioners in technology driven regions as well as digital leadership field scholars.

The study explores Degree Apprenticeship Identity (DAI) conceptualisation to enrich understanding to enhance work-integrated learning (WIL). Lived experiences of degree apprentices (DAs) are examined, and a model of DAI developed to support teaching and learning interventions on this relatively new and significant programme.

It draws pragmatically upon qualitative data from semi-structured interviews with Chartered Manager Degree Apprenticeship from diverse backgrounds in a higher education institutes (HEI). Data were explored abductively, using thematic analysis to investigate common patterns that influence identity; investigating personal experiences, socio-economic and cultural background, educational context and social interactions.

Influential themes surfaced, including pride in work, supporting others, sharing experiences and belonging, facilitating DAI model formation. The model illustrates that DAI is composed of existing personal, necessary professional and power of learning transformation through social identity by interventions that encourage peer engagement, group reflection and group-actualisation.

As this is a small-scale exploratory study, it is not intended to be representative of wider populations, which results in generalisability of findings. Data were collected from a well-established closed cohort programme led by the researcher, previously programme director. Interviews generated a broad range of anecdotal evidence, surfacing valuable insights relating to DAI formation.

To enhance WIL, tutors can foster social interventions that encourage peer dialogue, heighten DAs sense of self as capable learners and increase confidence growth.

The research provides a DAI Model, a fresh approach to understanding ways to enhance WIL for DAs through a stronger focus on group identity through social interventions. This preliminary model presents an opportunity for further research; other apprenticeships, larger and/or open cohorts.