Martin Brynskov, Adriënne Heijnen, Mara Balestrini and Christoph Raetzsch
The purpose of this paper is to discuss how experimentation with open Internet of Things data can be institutionalised in an inclusive manner at scale.
Abstract
Purpose
The purpose of this paper is to discuss how experimentation with open Internet of Things data can be institutionalised in an inclusive manner at scale.
Design/methodology/approach
The approach is conceptual, addressing key challenges discussed in the literature on experimental cities. This exposition of the problem of scaling experimentation is anchored in findings from two projects (Dampbusters and OrganiCity), which seek to implement experimentation as a practice of sustainable digital urban development.
Findings
One central finding is that local interventions need transferable frameworks and mechanisms to achieve scaling effects of experimentation as a practice. In addition, experimentation must embed common engagement principles, structures of data and interfaces, and governance principles across use cases to be scaled.
Originality/value
The authors outline how and why experimentation can be a useful approach to address challenges of implementing urban informatics into concrete uses and procedures for co-creation. Based on reports from two projects, the authors develop recommendations for experimentation at scale that reflect the need for engagement principles, the need for common data structures and interfaces, as well as governance principles.
Details
Keywords
Choy-Har Wong, Garry Wei-Han Tan, Siew-Phaik Loke and Keng-Boon Ooi
The purpose of this paper is to explore the factors that influence users’ behavioral intention (BI) to adopt mobile social networking sites (mSNS) in facilitating formal/informal…
Abstract
Purpose
The purpose of this paper is to explore the factors that influence users’ behavioral intention (BI) to adopt mobile social networking sites (mSNS) in facilitating formal/informal learning. Specifically, the study also investigates the association of mobility, reachability and convenience with performance expectancy (PE) and effort expectancy (EE).
Design/methodology/approach
Partial least squares structural equation modeling (PLS-SEM) approach was applied to test on 266 valid responses.
Findings
The findings indicated that learning compatibility (LC), PE, EE and copyright clearance (CC) has a significant effect on BI. The results also revealed that EE is influenced by mobility, reachability and convenience. PE however was found to be influenced by convenience.
Practical implications
The results of this study provides valuable insights and references for practitioners and mobile network providers in developing mSNS in facilitating learning.
Originality/value
While mSNS have the potential to become a new research area with numerous benefits for the learning community, there is little research on the adoption factors on mSNS in facilitating learning. This study therefore attempts to close the research gap by contributing to the mobile literatures.