Phd Canditate :
PhD Thesis Abstract
Energy consumption is one of the widely recognised important factors that should be addressed, in
reducing CO 2 emissions towards protecting the environment and addressing climate change. However,
albeit the documented effect of public buildings on energy consumption, only a limited body of research
focuses on one of the most important factors that could limit it: employees’ energy consumption
behaviour. Moreover, motivational information systems and gamification, the use of game elements in
non-game contexts, when appropriately utilised, could lead to positive employees’ energy behaviour
change. This research focuses on addressing two research questions: Q1: What drives employees to
save energy at work, and Q2: How effective is IoT-enabled gamified feedback in producing energy
behaviour change and energy savings at work? Aiming to contribute to this path of research, and
adopting a mixed-methods research approach, we conducted a series of five (5) studies, to investigate
employees’ energy-saving behaviour at work and explore the effect of motivational Information Systems
featuring personalized gamified feedback enabled by Internet-of-Things (IoT) technologies, towards
conserving energy at work.
Self-Determination Theory (SDT) is proven more salient towards explaining energy-saving behaviour and
the behavioural results from applying energy-saving gamification via a motivational IS at work,
compared to both Values-Beliefs-Norms (VBN) theory and the Theory of Planned Behaviour (TPB).
Energy-saving habit and intention are proven superior to self-reported behaviour in explaining actual
energy-savings at work. Moreover, gamification, delivered via a motivational IS, was proven effective in
producing significant energy-saving behaviour change with regards to the three abovementioned
behavioural change indicators, as well as actual energy savings (13%).
Overall, this research aspires to provide both future researchers, as well as practitioners, with insights
regarding the intricacies of employee energy consumption behaviour at work, as well as positively
influencing it through IoT-enabled, personalized gamified feedback interventions.