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The introduction of information technology (IT) in port operations has been a tremendous contributor to transformation in world trade. This study was carried out to examine the influence of IT on the efficiency of seaport operations.

The study is quantitative in nature, and it relied on a closed-ended self-administered questionnaire to collect primary data. Structural equation modeling (SEM) was used to test the theoretical model and hypothesis.

The results indicate that IT has a positive direct effect on port operational efficiency (OE) and an indirect effect on port OE through organizational culture (OC). The mediating role of OC is statistically insignificant.

This is among the first few attempts in Sub-Saharan Africa (SSA) that provides researchers with a contemporary view of IT and seaport operations.

In this paper, the authors explore racialisation through human-centric counter-accounts (counter-stories) to bring together critical race theory (CRT) and counter-accounting.

The authors utilise CRT to demonstrate the emancipatory role of counter-stories in (re)telling racialized narratives, specifically the narrative of asylum seekers who arrive by sea and are subjected to the inhumane and oppressive nature of the Australian government's policy of offshore immigration detention.

Counter-stories, as tools of accountability, can make visible oppressive forces and the hidden practices of racialized social practices and norms.

This paper emphasises that we are not in a post-racial world, and racialisation remains a fundamental challenge. We must continue to refute race as an ontological truth and strive to provide a platform for counter-stories that can spark or drive social change. This requires allies, including academics, to give that platform, support their plight, and offer avenues for change.

The authors introduce CRT as a theoretical tool for examining racialisation, opening space for a more critical confluence of accounting and race with potentially wide-reaching implications for our discipline. The paper also contributes to the limited accounting literature concerning asylum seekers, particularly in the use of counter-stories that offer a way of refuting, or challenging, the majoritarian/dominant narratives around asylum-seeking.

This paper aims to document the adaptation strategies developed by local farmers to adjust to climate change and related hazards in Lijiang Prefecture in Southwest China, and quantify the determinants of the adaptation measures.

The study conducted a household survey with 433 respondents in Lijiang to documents adaptation measures. The authors used a multivariate probit model to quantify five categories of adaptation measures against a set of household features, extension and information, resources, social network, financial assets and perception variables.

The most significant determinants consisted of information on early climate warnings and impending hazards, ownership to land and livestock, irrigation membership in community-based organisations, household savings, cash crop farming and perceptions of climate change and its related hazards. Adaptation strategies and policies highlighting these determinants could help to improve climate change adaptation in the region.

This study quantified the determinants of adaptive strategies and mapped important determinants for the region that will provide farmers with the appropriate resources and information to implement the best practices for adapting to climatic changes. The method and findings could be useful and easily replicable for future agriculture policies.

This paper aims to explore the use of lived experience research in peer work.

A suite of user-friendly and engaging lived experience research resources was introduced to consumers by peer workers. In-depth interviews were conducted with 33 consumer participants and five peer workers about their experiences. The data were analysed using qualitative content analysis.

The role of the peer workers appeared critical in ensuring that participants, despite their varied needs, preferences and backgrounds, derived optimum benefit from each resource. Features in resource delivery that promoted a positive experience included presenting the resources in the context of an existing relationship, providing clear explanations, going through resources together, encouraging reflection, taking enough time; and flexible delivery. Peer workers viewed the resources as potentially useful in their everyday peer work and as a valuable addition to their peer work toolkit.

The benefit of lived experience research to consumers is likely to be optimised by supportive and thoughtful delivery of the resources. Peer workers have the skills and are in an ideal position to do this. Bringing lived experience research to consumers provides peer workers with a potentially unique and helpful approach for supporting and promoting recovery and is congruent with their overall practice.

Lived experience research has the potential to benefit consumers directly but is rarely brought to their attention. This paper is the first to examine the potential role of peer workers in introducing learnings from lived experience research to consumers.

The purpose of this work is to bridge FL and blockchain technology through designing a blockchain-based smart agent system architecture and applying in FL. and blockchain technology through designing a blockchain-based smart agent system architecture and applying in FL. FL is an emerging collaborative machine learning technique that trains a model across multiple devices or servers holding private data samples without exchanging their data. The locally trained results are aggregated by a centralized server in a privacy-preserving way. However, there is an assumption where the centralized server is trustworthy, which is impractical. Fortunately, blockchain technology has opened a new era of data exchange among trustless strangers because of its decentralized architecture and cryptography-supported techniques.

In this study, the author proposes a novel design of a smart agent inspired by the smart contract concept. Specifically, based on the proposed smart agent, a fully decentralized, privacy-preserving and fair deep learning blockchain-FL framework is designed, where the agent network is consistent with the blockchain network and each smart agent is a participant in the FL task. During the whole training process, both the data and the model are not at the risk of leakage.

A demonstration of the proposed architecture is designed to train a neural network. Finally, the implementation of the proposed architecture is conducted in the Ethereum development, showing the effectiveness and applicability of the design.

The author aims to investigate the feasibility and practicality of linking the three areas together, namely, multi-agent system, FL and blockchain. A blockchain-FL framework, which is based on a smart agent system, has been proposed. The author has made several contributions to the state-of-the-art. First of all, a concrete design of a smart agent model is proposed, inspired by the smart contract concept in blockchain. The smart agent is autonomous and is able to disseminate, verify the information and execute the supported protocols. Based on the proposed smart agent model, a new architecture composed by these agents is formed, which is a blockchain network. Then, a fully decentralized, privacy-preserving and smart agent blockchain-FL framework has been proposed, where a smart agent acts as both a peer in a blockchain network and a participant in a FL task at the same time. Finally, a demonstration to train an artificial neural network is implemented to prove the effectiveness of the proposed framework.

The purpose of this paper is to analyse international political economy (IPE) thought in Korea during its pre-modern and colonial eras.

It divides these eras into three periods. The first period is the eighteenth century, in which Silhak arose. The second is the mid- and late nineteenth century, a time characterised by conflicts between Wijeong-cheoksa and Gaehwa thoughts. The final period is that of colonial Korea under imperial Japan, and during this time economic nationalist movements were pursued while Marxist theories were also introduced to the country.

This research shows that IPE thoughts analogous to Western economic liberalism and economic nationalism did emerge endogenously in Korea when its environment was similar to those in which these Western thoughts arose, although in ways that reflected Korea’s peculiar situations of the times. This study also demonstrates that the “economic” thoughts of the Koreans in these periods were shaped largely by their political thoughts.

This research contributes to the building of a more “globalised” intellectual history of classical IPE thought.

Pragmatism is very relevant to workplace management and performance measurement, yet in the accounting literature, it is a term used loosely and in a colloquial manner. By drawing on a framework based on classical pragmatism, this study aims to examine how a pragmatic perspective is discernible in the form and use of management control (MC) practices.

This study collects data using a case study of a firm in the green energy construction sector.

Building on the analytical framework, this study provides evidence that a pragmatic perspective is discernible in both form and use of MC practices, through a clear focus on targets rather than variance analysis, the presence of mutable local MC practices characterised by interaction and problem-solving and the absence of other common MC practices with no clear links to ends-in-view. This study also provides evidence of the potential limitations of a pragmatic perspective including myopia and an exacerbation of the inherent bias in organisations towards exploitation.

This research brings analytical clarity to the study of pragmatism in the accounting literature and insights into how a pragmatic perspective is discernible in the form and use of MC practices. Further, the study shows the potential limitations of a pragmatic perspective for management.

Crowd network systems have been deemed as a promising mode of modern service industry and future economic society, and taking crowd network as the research object and exploring its operation mechanism and laws is of great significance for realizing the effective governance of the government and the rapid development of economy, avoiding social chaos and mutation. Because crowd network is a large-scale, dynamic and diversified online deep interconnection, its most results cannot be observed in real world, and it cannot be carried out in accordance with traditional way, simulation is of great importance to put forward related research. To solve above problems, this paper aims to propose a simulation architecture based on the characteristics of crowd network and to verify the feasibility of this architecture through a simulation example.

This paper adopts a data-driven architecture by deeply analyzing existing large-scale simulation architectures and proposes a novel reflective memory-based architecture for crowd network simulations. In this paper, the architecture is analyzed from three aspects: implementation framework, functional architecture and implementation architecture. The proposed architecture adopts a general structure to decouple related work in a harmonious way and gets support for reflection storage by connecting to different devices via reflection memory card. Several toolkits for system implementation are designed and connected by data-driven files (DDF), and these XML files constitute a persistent storage layer. To improve the credibility of simulations, VV&A (verification, validation and accreditation) is introduced into the architecture to verify the accuracy of simulation system executions.

Implementation framework introduces the scenes, methods and toolkits involved in the whole simulation architecture construction process. Functional architecture adopts a general structure to decouple related work in a harmonious way. In the implementation architecture, several toolkits for system implementation are designed, which are connected by DDF, and these XML files constitute a persistent storage layer. Crowd network simulations obtain the support of reflective memory by connecting the reflective memory cards on different devices and connect the interfaces of relevant simulation software to complete the corresponding function call. Meanwhile, to improve the credibility of simulations, VV&A is introduced into the architecture to verify the accuracy of simulation system executions.

This paper proposes a novel reflective memory-based architecture for crowd network simulations. Reflective memory is adopted as share memory within given simulation execution in this architecture; communication efficiency and capability have greatly improved by this share memory-based architecture. This paper adopts a data-driven architecture; the architecture mainly relies on XML files to drive the entire simulation process, and XML files have strong readability and do not need special software to read.