| Keywords [eng] |
Project Team Coaching, Coaching Competencies, Hybrid Work Environment, Cultural Diversity, Psychological Safety, Project Performance, Adaptive Coaching, ICF Team Coaching Framework, Mixed-Methods Research |
| Abstract [eng] |
In Nigeria, project teams are the key to organisational success in information technology (IT) and business-development consulting. NexGen Solutions is a company that provides business coaching, IT, and consulting solutions; thus, it depends on project teams to offer solutions to clients in a client-oriented manner. But cultural diversity, gap in skills, staff turnover, strict project timeframes, and unreliable technology infrastructure tend to test the team cohesion and performance. In multi-ethnic teams, the communication barriers and lack of harmony in expectations and hierarchical norms are common so that any act of dissent can be suppressed, trust, and cooperation are undermined. This has led to the use of team coaching as a strategic intervention to help enhance collective capability, psychological safe space, cross-cultural communication, and responsiveness to adapt. This paper examines how the International Coaching Federation (ICF) Team Coaching Competency Framework and Adaptive Coaching Theory can be adapted to the project teams at NexGen Solutions based on the country-specific socio-cultural and technological context of Nigeria. Although these frameworks have been well-studied in Western and resource-intensive settings, their translation into collectivist, hierarchical, and resource-constrained settings is not well-researched. The identified gap is filled in this research, as a context-sensitive team coaching model is built based on volatile, uncertain, complex, and ambiguous (VUCA) systems. The research is a sequential explanatory design of mixed methods which is guided by a pragmatic philosophy. A structured survey in line with ICF competencies and Adaptive Coaching Theory was used to gather quantitative data, and open-ended questions were used to get qualitative information to capture contextual issues. The sample of 86 employees’ purposive sample was comprised of the project managers, IT specialists, business analysts, and support staff. Data were analyzed using descriptive and inferential statistics as well as thematic coding to bring about numerical trends and contextual knowledge. |
