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Based on Azjen’s (1991) theory of planned behavior, the purpose of this paper is to complement the existing body of knowledge on entrepreneurial intentions (EIs) by comparing two different university environments in Spain (online and face-to-face) and their impact on EIs of university students using two components of social capital (SC), trust and network ties as variables with influence on the antecedents of EIs.

A survey was administered to online and face-to-face students yielding a total sample of 302 and 204, respectively. Partial least square–structural equation modeling is the technique employed to perform the analysis.

SC has a significant influence on EIs in both environments with greater effects online, as a consequence of the mediated role played by network ties between trust and the attitude toward the behavior, the subjective norm and consequently, EIs.

The authors used a cross-sectional method. However, it would be interesting to obtain longitudinal data to provide a more valid support for the study.

This study provides insight into the important role played by network ties based on trust in the entrepreneurship process and in the university environment.

This study contributes to understanding the differential impact of SC (trust and network ties) on the antecedents of EIs between the students enrolled in different university environments using two non-parametric techniques Henseler’s multigroup analysis and the permutation test.

Urban centers, with their dense populations and evolving mobility patterns, are pivotal in addressing global sustainability challenges. This study focuses on identifying the key elements driving the adoption of sustainable urban mobility innovations, with a renewed emphasis on cycling as a core component.

Employing the Service Dominant Logic framework, this research examines how various conditions associated with the cycling ecosystem influence the adoption or negation of bicycles as a sustainable mode of urban transportation. The study conducts a comprehensive analysis across 60 cities to unravel these dynamics.

The investigation reveals that five distinct combinations of conditions facilitate the adoption of bicycles, while two specific combinations lead to its negation. Importantly, the study uncovers the presence of a “lock-in” mechanism, a critical factor in hindering bicycle adoption in urban settings.

This research contributes significantly to the field of sustainable urban mobility by integrating Service-Dominant Logic with empirical findings from a diverse set of global cities. It provides valuable insights into the complex interplay of factors influencing cycling adoption, offering a nuanced understanding of the barriers and drivers in this domain. The identification of a “lock-in” mechanism as a key impediment to cycling adoption adds a novel dimension to existing literature, presenting actionable pathways for policymakers and urban planners to foster more sustainable and bike-friendly urban environments.