Journal Articles

Permanent URI for this collectionhttps://mro.massey.ac.nz/handle/10179/7915

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    Extending sexual scripting theory through critical discursive psychology: An analytical approach to explore the performance of sexual identities.
    (SAGE Publications, 2024-09-23) Healy-Cullen S; Morison T
    Sexual scripting theory, a widely used tool in sexuality research, was originally developed by Gagnon and Simon to illuminate the social nature of sexual practices and identity construction. Later, they sought to develop the theory further to align with a social constructionist perspective. However, vestiges of individualism and cognitivism haunt sexual scripting theory largely due to the use of the symbolic interactionist concept of performance. To address this, we draw on the performance–performativity approach in critical discursive psychology that develops the notion of performance from a discursive perspective and offers a way of extending sexual scripting theory that offers a truly social explication of sexual identity construction. We provide a practical illustration of this extended theorising, drawing on data from a project about young people’s online engagement with pornography. We demonstrate how developing the notion of sexual scripts as discursive resources that enable the performance of sexual identities allows us to illuminate the social and situated nature of identity construction. This framework enhances understanding of the process of sexual identity construction and provides a valuable tool for studying how broader sexual scripts that are sociohistorically specific provide a scaffolding for the ways an individual can construct sexual identities. Overall, this paper offers a valuable contribution to discursive scholarship in psychology by presenting a nuanced analytical framework that coheres with a constructionist, performative view of identity.
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    Experimental Performance Analysis of a Scalable Distributed Hyperledger Fabric for a Large-Scale IoT Testbed
    (MDPI (Basel, Switzerland), 2022-07) Pajooh HH; Rashid MA; Alam F; Demidenko S
    Blockchain technology, with its decentralization characteristics, immutability, and traceability, is well-suited for facilitating secure storage, sharing, and management of data in decentralized Internet of Things (IoT) applications. Despite the increasing development of blockchain platforms, there is still no comprehensive approach for adopting blockchain technology in IoT systems. This is due to the blockchain’s limited capability to process substantial transaction requests from a massive number of IoT devices. Hyperledger Fabric (HLF) is a popular open-source permissioned blockchain platform hosted by the Linux Foundation. This article reports a comprehensive empirical study that measures HLF’s performance and identifies potential performance bottlenecks to better meet the requirements of blockchain-based IoT applications. The study considers the implementation of HLF on distributed large-scale IoT systems. First, a model for monitoring the performance of the HLF platform is presented. It addresses the overhead challenges while delivering more details on system performance and better scalability. Then, the proposed framework is implemented to evaluate the impact of varying network workloads on the performance of the blockchain platform in a large-scale distributed environment. In particular, the performance of the HLF is evaluated in terms of throughput, latency, network size, scalability, and the number of peers serviceable by the platform. The obtained experimental results indicate that the proposed framework can provide detailed real-time performance evaluation of blockchain systems for large-scale IoT applications.