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The Sustainable Development Goal 12 (SDG 12) that aims at ensuring sustainable consumption and production patterns is dependent on efficient and effective transport infrastructure. But many new transport infrastructure projects are delayed due to complex conflicts between multiple stakeholders with different stakes. This chapter illustrates how a multi-stakeholder participation process based on systems thinking can be used to generate a shared mental model of stakeholders in conflict. Using the systems thinking and modelling methodology, the complex problem situation is first structured by identifying and analysing the stakeholders. Then a participative approach is employed to develop a systems model that captures the underlying structure responsible for the problem situation. Finally, three strategic interventions are formulated by the stakeholders to improve the system behaviour in the long term. In this chapter, both quantitative and qualitative data were collected using structured interviews, focus groups and secondary sources. Using a New Zealand transport infrastructure project, the chapter shows that effective multi-stakeholder participation, capable of leading to some form of multi-stakeholder partnership, can help reduce delays in a transport infrastructure project. Practically, the chapter provides a framework that can reach an accommodation between conflicting stakeholders. Overall, this chapter contributes New Zealand–based empirical research to the literature on multi-stakeholder participation for achieving SDG 12 within the context of Agenda 2030.

COVID-19 pandemic has affected the whole world, socially and economically. It changes the whole scenario, limiting our daily activities and the business environment. It creates a chaotic situation where people are forced to stay at home, do very limited things. Digital entrepreneurs seek opportunities instead of problem in such situations. In Malaysia, the digital entrepreneurs strategically maneuver their activities with their business operations while other businesses are forced to close. In fact, COVID-19 pandemic offers advancement for digital entrepreneurs and also offers for others to follow the footsteps of active digital entrepreneurs. The online business will become norms post COVID-19, and businesses shall be done across the borders without much hustle. International business for the small enterprise is expected to be common with the advancement of information technology for communication and reliable banking system.

Introduction: With many new technologies requiring real-time data processing, cloud computing has become challenging to implement due to high bandwidth and high latency requirements.

Purpose: To overcome this issue, edge computing is used to process data at the network’s edge. Edge computing is a distributed computing paradigm that brings computation and data storage closer to the location where it is needed. It is used to process time-sensitive data.

Methodology: The authors implemented the model using Linux Foundation’s open-source platform EdgeX Foundry to create an edge-computing device. The model involved getting data from an on-board sensor (on-board diagnostics (OBD-II)) and the GPS sensor of a car. The data are then observed and computed to the EdgeX server. The single server will send data to serve three real-life internet of things (IoT) use cases: auto insurance, supporting a smart city, and building a personal driving record.

Findings: The main aim of this model is to illustrate how edge computing can improve both latency and bandwidth usage needed for real-world IoT applications.