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A crossover effect exists in the relationship between recommendation apps and restaurants in the online-to-offline (O2O) service platform context. Yet, how this effect evolves across subsequent consumption episodes, from the initial stage of information searching to the final stage of loyalty to a service provider, remains unclear.

This study utilizes a two-time-lag interval approach to test changes in temporal and carryover effects and attribute weights.

While there is no crossover effect between restaurant satisfaction and recommendation app loyalty during two time-lag interval periods, the crossover effect between recommendation app satisfaction and restaurant loyalty intentions is significant. These findings indicate that the satisfaction–loyalty intentions linkage operates systematically within the O2O consumption domain and increases over time. Particularly, the initial selection of a restaurant based on an app’s recommendation strengthens the intention to use the app again and increases loyalty toward the restaurant.

This study contributes to the literature by demonstrating the crossover effects of the two consumption systems on consumer evaluations. It underscores the importance of changes in individual attribute weights between the two systems as behavioral responses occur during initial and subsequent consumption phases.

Vertical business-to-business (B2B) relationship models are dynamic and depend on economic and relational constructs. However, it remains unclear how relationship termination intentions evolve across the mature and final stages of the B2B relationship cycle, particularly in the hospitality sector. Thus, this study investigates the dynamics of B2B relationship termination mechanisms.

The authors use a two time-lag interval method to provide insights into how these two variables (relational satisfaction and partner trust) mediate (e.g. strengthen or weaken) the relationship between social dependence and relationship termination intentions over time.

The authors demonstrate that relational satisfaction is not directly linked to relationship termination intentions across B2B relationship stages. However, our findings show that social dependence and partner trust are both key determinants of relationship termination intentions over time. Based on the mature and final stages of a B2B relationship cycle, these results suggest that researchers must understand the theoretical mechanism of B2B relationships and the roles key constructs play in determining how these relationships conclude.

This study is novel in capturing the evolution of B2B relationship stages. This research presents the first collection of ample evidence on the manifestation of relationship termination in the transition from social dependence to reduced partner trust.