Trust vs. Control: Comparing Flexible and Restrictive Hybrid Work Policies in Two Software Companies
The pandemic experiences of forced work from home (WFH) in the tech industry turned out better than expected. As a result, modern workplaces that employ software engineers have become increas- ingly hybrid allowing employees to alternate days spent in the office with days spent working remotely. Yet, approaches to regulate the hybrid work arrangements vary. Some companies implemented strict policies with controlled office presence while others rely on recommendations and permit greater locational flexibility. In this paper, we evaluate how different degrees of locational flexibility influence individual work arrangements and satisfaction in two comparative cases: a company with high degree of flexibility (FinCo) and a company with mandatory office presence (TelCo). Through a survey of 547 practitioners, our findings reveal that flexible policies can achieve higher voluntary office attendance than mandatory requirements. To our surprise, we found that the number of employ- ees visiting the office at least 2-3 days per week in the company with greater flexibility was higher (68%) compared to the company with mandatory attendance (58%). The study also identifies key factors influencing work location choices, including commute time and role. The type of tasks and dependencies with colleagues also matter - employees with more WFH days tended to have more individual tasks, while those with more onsite work days engaged in more collaborative tasks and had colleagues who depended on them. Our results suggest that trust-based approaches and creating attractive office environments may be more effective than strict attendance policies in maintaining desired office presence while supporting employee satisfaction. These findings contribute practical insights for organizations seeking to establish effective post-pandemic work policies for software engineers.
Thu 19 JunDisplayed time zone: Athens change
15:30 - 17:00 | ProcessShort Papers, Emerging Results / Research Papers / AI Models / Data at Glass Room Chair(s): Muhammad Ali Babar School of Computer Science, The University of Adelaide | ||
15:30 15mTalk | On the Prevalence and Usage of Commit Signing on GitHub: A Longitudinal and Cross-Domain Study Research Papers Anupam Sharma Indian Institute of Technology Gandhinagar, Sreyashi Karmakar Indian Institute of Technology Gandhinagar, Gayatri Priyadarsini Indian Institute of Technology Gandhinagar, Abhishek Bichhawat Indian Institute of Technology Gandhinagar Pre-print | ||
15:45 10mTalk | Toward Inclusive Low-Code Development: Detecting Accessibility Issues in User Reviews Short Papers, Emerging Results Mohammadali Mohammadkhani Sharif University of Technology, Sara Zahedi Movahed Sharif University of Technology, Hourieh Khalajzadeh Deakin University, Australia, Mojtaba Shahin RMIT University, Khuong Tran Hoang Deakin University Pre-print | ||
15:55 10mTalk | Towards Requirements Engineering for RAG Systems Short Papers, Emerging Results | ||
16:05 15mTalk | Towards User-Centred Design of AI-Assisted Decision-Making in Law Enforcement AI Models / Data Vesna Nowack Imperial College London, Dalal Alrajeh Imperial College London, Carolina Gutierrez Munoz University of Bath, Katie Thomas University of Bath, William Hobson University of Bath, Patrick Benjamin University of Oxford, Catherine Hamilton-Giachritsis University of Bath, Tim Grant Aston University, Juliane Kloess University of Edinburgh, Jessica Woodhams University of Birmingham Pre-print | ||
16:20 15mTalk | Trust vs. Control: Comparing Flexible and Restrictive Hybrid Work Policies in Two Software Companies Research Papers Darja Šmite Blekinge Institute of Technology, Nils Brede Moe Sintef, Panagiota Chatzipetrou Örebro University, Povilas Gadliauskas Independent, Per Kristian Helland Storebrand, Anastasiia Tkalich SINTEF File Attached | ||
16:35 15mTalk | Racing Against the Clock: Exploring the Impact of Scheduled Deadlines on Technical Debt Research Papers Joshua Aldrich Edbert University of Saskatchewan, Zadia Codabux University of Saskatchewan, Roberto Verdecchia University of Florence Pre-print | ||
16:50 10mTalk | Recommendation systems in e-commerce applications with machine learning methods Short Papers, Emerging Results Aneta Poniszewska-Maranda Institute of Information Technology, Lodz University of Technology, Magdalena Pakula Institute of Information Technology, Lodz University of Technology, Bozena Borowska Institute of Information Technology, Lodz University of Technology |