Ximena Alejandra Flechas, Carlos Kazunari Takahashi and Júlio César Bastos de Figueiredo
The ongoing business dynamics show two aspects for generating innovation: first, high-impact innovations are developed jointly by several actors, such as universities…
Abstract
Purpose
The ongoing business dynamics show two aspects for generating innovation: first, high-impact innovations are developed jointly by several actors, such as universities, enterprises, and governments. Second, startups are better suited to develop innovation during crises or periods of low growth as experienced at the moment. Based on these aspects and drawing on the constructs of the triple helix, this study analyzes the influence between the characteristics of the actors on the quality of the startup ecosystem from a global view.
Design/methodology/approach
The study examines the cross-section data of 35 countries between 2017 and 2018 and applies the partial least squares structural equation modeling (PLS-SEM) for assessing the relationships between the triple helix on the quality of the startup ecosystem on a country-level.
Findings
The findings suggest that each actor of the triple helix individually does not positively affect the quality of the startup ecosystem. Yet, when analyzing the actors jointly by creating a second-order latent variable (i.e. triple helix), the study found out that in this way, the triple helix construct has a positive effect on the quality of the startup ecosystem.
Originality/value
Although a large body of prior literature indicates the importance of generating interrelationships among the different entities involved in ecosystems, few studies provide empirical evidence from a global perspective of the need for these entities to act in an overlapping manner. The present study supports previous research and reinforces the importance of the triple helix for a more innovative environment.
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Fernando Luis Abegao Neto and Julio César Bastos de Figueiredo
This study aims to measure the effects of moderation by age and income in mobile payment systems' intended use as predictors of performance expectation, effort expectation, social…
Abstract
Purpose
This study aims to measure the effects of moderation by age and income in mobile payment systems' intended use as predictors of performance expectation, effort expectation, social influence, risk and perceived costs.
Design/methodology/approach
This study is based on a survey that generated a sample of 1,742 Brazilian users that responded to the measurement scale. The research data were analyzed using the partial least squares structural equation model.
Findings
All proposed latent variables were significant, with income positively moderating the performance expectation and negatively moderating the perceived cost and perceived risk. In addition, age positively moderates performance expectation and negatively moderates cost perception.
Originality/value
The findings evolved previous literature by understanding moderating effects that make it possible for companies operating in mobile payments to generate segmented communication and engagement plans for users of different income and age brackets.