Digital Sustainability for Energy-Efficient Behaviours: A User Representation and Touchpoint Model

Author:

McCarthy StephenORCID,Ertiö TitianaORCID,Fitzgerald CiaraORCID,Kahma NinaORCID

Abstract

AbstractIn response to climate change, nations have been tasked with reducing energy consumption and lessening their carbon footprint through targeted actions. While digital technologies can support this goal, our understanding of energy practices in a private household context remains nascent. This challenge is amplified by the ‘invisible’ nature of users’ interaction with energy systems and the impact of unconscious habits. Our objective is to explore how touchpoints embedded in digital sustainability platforms shape energy-efficiency behaviours among users. Building on data from semi-structured interviews and a two-hour co-creation workshop with 25 energy experts in the ECO2 project, we first identify three user representations of relevance to such platforms: energy-unaware, living in denial, and energy-aware and active. Our findings suggest that ‘static’ user representations (based on user demographics and average consumption) are giving way to socio-cognitive representations that follow users’ journeys in energy efficiency. We then develop a set of design principles to promote sustainable energy behaviours through digital sustainability platforms across user-owned, social/external, brand-owned, and partner-owned touchpoints. An analysis of user feedback from the ECO2 project shows support for our design principles across users’ journeys. Of 62 respondents covering all three representations, 76% of them intended to “implement changes in terms of energy consumption and energy efficiency”.

Funder

Horizon 2020 Framework Programme

University College Cork

Publisher

Springer Science and Business Media LLC

Reference82 articles.

1. Alraja, M. N., Imran, R., Khashab, B. M., & Shah, M. (2022). Technological innovation, sustainable green practices and SMEs sustainable performance in times of crisis (COVID-19 pandemic). Information Systems Frontiers, 24(4), 1081–1105.

2. Bandura, A. (1986). Social foundations of thought and action: A social-cognitive view. Prentice-Hall Englewood Cliffs.

3. Bandura, A. (1991). Social cognitive theory of moral thought and action. Handbook of Moral Behavior and Development, 1, 45–103.

4. Bandura, A. (1999). Social cognitive theory of personality. Handbook of Personality, 2, 154–196.

5. Bandura, A. (2001). Social cognitive theory: An agentic perspective. Annual Review of Psychology, 52(1), 1–26.

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