Future research directions
| Research direction | Rationale and questions |
|---|---|
| Exogenous factors expansion | Include proneness to smart technology, life stage, prior technology use, smart device ownership as moderators/mediators |
| Service diversification | Extend beyond Four studied services (digital workouts, online courses, digital events, well-being sessions) to cover take-away, subscription and other service types |
| Comparative analysis | Compare attitudes of fully remote vs. hybrid vs. office-based employees; examine how work context intensity affects switching |
| Identity dynamics | Investigate interplay between work and consumer identities in-home contexts; examine how identity switching affects service consumption |
| Longitudinal perspective | Track behavior changes over time post-pandemic; examine sustained vs temporary adoption patterns |
| Psychological factors | Explore additional push factors (attractiveness of alternatives and household affluence) and pull factors (need for uniqueness, novelty-seeking and conspicuous consumption motivation) |
| Decision-making structures | Examine household-level decision dynamics; consider family composition and multi-person household effects |
| Technology integration | Explore role of smart home technology adoption and IoT device ownership in predicting in-home service consumption |
| Cross-cultural validation | Test whether configurations and relationships hold across different cultural contexts |
| Research direction | Rationale and questions |
|---|---|
| Include proneness to smart technology, life stage, prior technology use, smart device ownership as moderators/mediators | |
| Extend beyond Four studied services (digital workouts, online courses, digital events, well-being sessions) to cover take-away, subscription and other service types | |
| Compare attitudes of fully remote vs. hybrid vs. office-based employees; examine how work context intensity affects switching | |
| Investigate interplay between work and consumer identities in-home contexts; examine how identity switching affects service consumption | |
| Track behavior changes over time post-pandemic; examine sustained vs temporary adoption patterns | |
| Explore additional push factors (attractiveness of alternatives and household affluence) and pull factors (need for uniqueness, novelty-seeking and conspicuous consumption motivation) | |
| Examine household-level decision dynamics; consider family composition and multi-person household effects | |
| Explore role of smart home technology adoption and IoT device ownership in predicting in-home service consumption | |
| Test whether configurations and relationships hold across different cultural contexts |
Sharing content requires targeting cookies to be enabled. Please update your cookie preferences to use this feature.