Communicating default changes to hotel room cleaning without reducing guest satisfaction

Hotels are increasingly moving away from daily room cleaning. Offering room cleaning only upon request has been proven to reduce emissions and save hotels money. However, effective communication is crucial to preserve guest satisfaction. There is a research gap on how to best communicate such default changes and whether different messaging approaches can either increase their efficacy or reduce their effectiveness (e.g., by causing reactance). In a survey experiment ( N = 800), we tested different theory-derived messages to accompany changes to room cleaning procedures. Several messaging strategies in combination with a default change proved promising: they reduced intended room cleaning requests while preserving satisfaction ratings. In contrast, a default change alone (without a theory-driven message) was ineffective and reduced satisfaction. In a field experiment, we confirmed the effectiveness of one specific message (leveraging the level of control) in combination with a default change: room cleans were reduced from 99% to 45% whilst maintaining guest satisfaction. Theoretically, our findings point to the effectiveness of combining default changes with theory-derived messages. Practically, we put forward an intervention that hotels can immediately and easily adopt. • Theory-derived messages support default changes in room cleaning procedures. • Combining default changes with messages yields better results. • A message targeting personal control of room cleans showed success in the field. • Real room cleaning numbers were reduced from 99% (baseline) to 45%.

Authors

Institutions

Publication Details

Journal
Journal of Cleaner Production
Published
2024-11-19
DOI
https://doi.org/10.1016/j.jclepro.2024.144266
Citations
4
Primary Topic
Consumer Retail Behavior Studies
Type
article
Field-Weighted Citation Impact
1.76

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Communicating default changes to hotel room cleaning without reducing guest satisfaction

Sara Dolničar, Danyelle Greene, Anna Kristina Zinn
4 citations
Journal of Cleaner Production
Consumer Retail Behavior Studies
1.76
article

Communicating default changes to hotel room cleaning without reducing guest satisfaction

Sara Dolničar, Danyelle Greene, Anna Kristina Zinn
article en
4 citations

Abstract

Hotels are increasingly moving away from daily room cleaning. Offering room cleaning only upon request has been proven to reduce emissions and save hotels money. However, effective communication is crucial to preserve guest satisfaction. There is a research gap on how to best communicate such default changes and whether different messaging approaches can either increase their efficacy or reduce their effectiveness (e.g., by causing reactance). In a survey experiment ( N = 800), we tested different theory-derived messages to accompany changes to room cleaning procedures. Several messaging strategies in combination with a default change proved promising: they reduced intended room cleaning requests while preserving satisfaction ratings. In contrast, a default change alone (without a theory-driven message) was ineffective and reduced satisfaction. In a field experiment, we confirmed the effectiveness of one specific message (leveraging the level of control) in combination with a default change: room cleans were reduced from 99% to 45% whilst maintaining guest satisfaction. Theoretically, our findings point to the effectiveness of combining default changes with theory-derived messages. Practically, we put forward an intervention that hotels can immediately and easily adopt. • Theory-derived messages support default changes in room cleaning procedures. • Combining default changes with messages yields better results. • A message targeting personal control of room cleans showed success in the field. • Real room cleaning numbers were reduced from 99% (baseline) to 45%.

Journal of Cleaner ProductionVol. 483
The University of Queensland (AU)
Australian Research Council
Decent work and economic growth
Openalex Percentile: Top 13%
Consumer Retail Behavior Studies
1.76
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.