Engagement in Agile Teams: Challenges in Learning Environments

Engagement in agile software development teams has given the challenges faced by teams working in dynamic and collaborative environments. This discussion is particularly important for the field of Information Systems (IS), which relies on human-centered, adaptive, and team-based approaches to deliver value through technology. Literature has shown that factors such as organizational culture, leadership styles, interpersonal communication, cultural diversity, and role clarity significantly influence team members' level of engagement. In agile governance contexts—where autonomy, collaboration, and rapid adaptation are essential (Luna, 2015)—sustaining long-term engagement remains a complex task. Furthermore, current work trends, such as distributed teams, hybrid models, and a growing emphasis on soft skills, demand more integrated approaches, often beginning in learning environments such as STEM (Science, Technology, Engineering, and Mathematics) programs. Studies in IS education have shown that team-based projects can enhance learning outcomes, but little research has focused on the impact of cultural diversity within these teams. In this context, a study was conducted to investigate the perception of engagement within software development teams participating in a STEM program. The program involved multicultural and monocultural teams composed of students acting as developers, mentors, and community partners over four months, addressing real-world problems with social impact. The research aimed to understand how engagement was perceived, and which factors were considered essential for maintaining active participation. The findings revealed that the teams differ in their perception of engagement: for multicultural teams, the thematic analysis highlighted categories such as cultural diversity in communication, mutual learning and openness, team cohesion and critical reflection on culture, and for monocultural teams were categorized into communication and shared understanding, team bonding and cohesion, commitment to common goals, for example. Within this broader discussion, the following research question emerges: How can we address the challenges of engagement in agile teams? Answering this question requires a multifaceted approach—ranging from onboarding and trust-building strategies to the promotion of continuous feedback and progressive autonomy. The study’s findings suggest that learning environments can serve as experimentation fields for developing socio-emotional skills and engagement practices, contributing to the preparation of professionals better equipped to face the collaborative demands of the tech industry.

Institutions

Publication Details

Journal
Journal of the Association for Information Systems
Published
2025-08-16
Primary Topic
Software Engineering Techniques and Practices
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Engagement in Agile Teams: Challenges in Learning Environments

Journal of the Association for Information Systems
Software Engineering Techniques and Practices
article

Engagement in Agile Teams: Challenges in Learning Environments

article en

Abstract

Engagement in agile software development teams has given the challenges faced by teams working in dynamic and collaborative environments. This discussion is particularly important for the field of Information Systems (IS), which relies on human-centered, adaptive, and team-based approaches to deliver value through technology. Literature has shown that factors such as organizational culture, leadership styles, interpersonal communication, cultural diversity, and role clarity significantly influence team members' level of engagement. In agile governance contexts—where autonomy, collaboration, and rapid adaptation are essential (Luna, 2015)—sustaining long-term engagement remains a complex task. Furthermore, current work trends, such as distributed teams, hybrid models, and a growing emphasis on soft skills, demand more integrated approaches, often beginning in learning environments such as STEM (Science, Technology, Engineering, and Mathematics) programs. Studies in IS education have shown that team-based projects can enhance learning outcomes, but little research has focused on the impact of cultural diversity within these teams. In this context, a study was conducted to investigate the perception of engagement within software development teams participating in a STEM program. The program involved multicultural and monocultural teams composed of students acting as developers, mentors, and community partners over four months, addressing real-world problems with social impact. The research aimed to understand how engagement was perceived, and which factors were considered essential for maintaining active participation. The findings revealed that the teams differ in their perception of engagement: for multicultural teams, the thematic analysis highlighted categories such as cultural diversity in communication, mutual learning and openness, team cohesion and critical reflection on culture, and for monocultural teams were categorized into communication and shared understanding, team bonding and cohesion, commitment to common goals, for example. Within this broader discussion, the following research question emerges: How can we address the challenges of engagement in agile teams? Answering this question requires a multifaceted approach—ranging from onboarding and trust-building strategies to the promotion of continuous feedback and progressive autonomy. The study’s findings suggest that learning environments can serve as experimentation fields for developing socio-emotional skills and engagement practices, contributing to the preparation of professionals better equipped to face the collaborative demands of the tech industry.

Journal of the Association for Information Systems
Universidade Federal de Pernambuco (BR)
Industry, innovation and infrastructure
Openalex Percentile: Top 36%
Software Engineering Techniques and Practices
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.