Browsing by Subject "scalability"

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    Innovative Finance Week 4 Video 6 - Early stage risk
    (2019) Patton, Aunnie
    This video focuses on early stage risk and scalability. The video discusses venture philanthropy and the various instruments they use to support their projects. It also talks about the role they play within companies and startups. The video also touches on the financial instruments used by funders when early stage risk is high. Incubators and how they help early stage startups are also discussed. The video then defines lifecycle funding and provides and industry example. This is video 6/11 in week 4 of the Innovative Finance: Hacking Finance to Change the World course.
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    Innovative Finance Week 5 Video 3 - Designing for Impact - Zoona
    (2019) Phiri, Lelemba
    This video focuses on Zoona's case study. It discusses the organisation's initial design. The video discusses how the project was created and the thoughts that went behind it. It also touches on customer's requirements and how Sunga sought to meet them. The video also touches on the various use cases and how they vary amongst customers. The video also shows how meeting with customers helped their product progress. The video also discusses the prototyping process for the product. This is video 3/8 in week 5 of the Innovative Finance: Hacking Finance to Change the World course.
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    Internet of Things in organisations: artefactual characteristics that influence adoption
    (2025) Tshilenge, Henry Busaka; Brown, Irwin
    Background: The Internet of Things (IoT) has gained significant attention from businesses and academia. IoT promises are ambitious: creating, collecting, and sharing information independently of time, place, and motion. Things are rendered autonomous, able to identify themselves, network with other objects, and analyse the data they produce. IoT systems are used in some organisations to improve efficiency and facilitate trade in commodities and services. These systems help prevent errors, monitor operations, track assets, deter theft, and integrate complex systems through real-time data collection and analysis. Problem Statement: IoT promises many benefits, which are already tangible in the agriculture, logistics, retail, and supply chain sectors. However, some organisations still adopt IoT hesitantly, while others still hold a conservative stance. Little is known about its adoption in organisations based on its artefactual characteristics. Purpose: This study explores the artefactual characteristics of the Internet of Things that lead to its adoption and implementation in organisations. The focus is on the impact of identified IoT characteristics on its adoption as reflected by the continuance intention. Methodology: The study adopted a quantitative survey strategy and collected data via the Academic Prolific Online Panel1, with a sample of 293 participants from South Africa, the United Kingdom, and the United States. Findings: The results indicate that IoT characteristics closely aligned with business needs, such as relative advantage (profitability), Compatibility (alignment with values), seamless integration, and self-adaptation (intelligent, efficient operation and future growth), significantly influence IoT adoption as reflected by the continuance intention in organisations. The study went beyond the traditional Technology-Organisational-Environment (TOE) framework technology characteristics adapted from the Diffusion of Innovation framework, such as relative advantage, complexity, and compatibility. In addition, the findings revealed that integration and self-adaptation (i.e., intelligence) significantly influence technology adoption, as reflected by continuance intention. The research contributes to the knowledge of IoT. The study recommends that future research look further into the technocentric characteristics such as connectivity, security and interoperability, which were unexpectedly found not to influence adoption as reflected by the continuance intention.
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    Understanding scalability in distributed ledger technology
    (2020) Clark, Jonathan; Georg, Co-Pierre
    Distributed ledger technology (DLT) stands to benefit industries such as financial services with transparency and censorship resistance. DLT systems need to be scalable to handle mass user adoption. Mass user adoption is required to demonstrate the true value of DLT. This dissertation first analyses scalability in ethereum and EOS. Currently, ethereum 1.0 uses proof of work (PoW) and handles only 14 transactions per second (tps) compared to Visa's peak 47 000 tps. Ethereum 2.0, known as Serenity, introduces sharding, proof of stake (Casper), plasma and state channels in and effort to scale the system. EOS uses a delegated proof of stake (DPoS) protocol, where 21 super-nodes, termed ‘block producers' (BPs), facilitate consensus, bringing about significant scalability improvements (4000 tps). The trade-off is decentralisation. EOS is not sufficiently decentralised because the BPs yield significant power, but are not diverse. This dissertation conducts an empirical analysis using unsupervised machine learning to show that there is a high probability collusion is occurring between certain BPs. It then suggests possible protocol alterations such as inverse vote weighting that could curb adverse voting behaviour in DPoS. It further analyses whether universities are suitable BP's before mapping out required steps for universities to become block producers (leading to improved decentralisation in EOS)