14 July 2026

Showboating in China?

A study of China’s participation in United Nations human rights reviews argues that its public statements are more than diplomatic rhetoric. The paper published in the International Journal of Public Law and Policy also suggests that they serve as strategic signals that shape later negotiations.

The researchers analysed 51 statements made by China at the United Nations General Assembly between 2018 and 2024 alongside its responses to 428 recommendations during the fourth cycle of the Universal Periodic Review (UPR). The latter is a UN process in which every member state undergoes a peer assessment of its human rights record.

The study identified three recurring themes in China’s human rights discourse. The first being the importance of economic development and basic living standards. The second, the principles of sovereignty and non-interference in domestic affairs. The third appeals to shared values across humanity. The authors argue that these themes define China’s negotiating boundaries.

The study found that China often accepts development-focused recommendations and even accepts policy commitments that carry implementation costs. However, recommendations that touched on issues Beijing sees as a matter of sovereignty were often rejected, despite the reputational costs of refusal.

The findings suggest that analysing a state’s public discourse may help anticipate where compromise is possible in international negotiations and where entrenched positions are likely to persist as competing interpretations of human rights become more prominent in an increasingly multipolar international system.

Jiang, Y. and Song, W. (2026) ‘Costly signals and compliance boundaries in human rights diplomacy: China’s UPR engagement’, Int. J. Public Law and Policy, Vol. 12, No. 5, pp.1–28.

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Free Open Access special issue on "Big Data Industrial Application and Computing Innovation – Part 2" published by International Journal of Data Mining and Bioinformatics

The International Journal of Data Mining and Bioinformatics has published an Open Access issue. All of the issue’s papers can be downloaded via the full-text links available here.
  • Construction of a natural gas pipeline intelligent early warning platform based on the integration of multi-source heterogeneous data management and GAN reinforcement learning
  • Interactive AI virtual human synthesis technology based on multimedia visual images
  • A cooperative evolutionary algorithm based on a double deep Q-network for adaptive robust service composition in cloud manufacturing
  • Resource collaboration-aware service composition optimisation for cloud manufacturing
  • Eye movement fixation point localisation and recognition method based on multimodal features
  • Smart contract and distributed ledger based financial transaction settlement and tracking model design in digital economy

Free sample articles newly available from International Journal of Electric and Hybrid Vehicles

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New Open Access article available: "Hearing the witness remotely in Jordanian law"

The following International Journal of Electronic Security and Digital Forensics article, "Hearing the witness remotely in Jordanian law", is freely available for download as an open access article.

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Free Open Access issue published by International Journal of Information and Communication Technology

The International Journal of Information and Communication Technology has published an Open Access issue. All of the issue’s papers can be downloaded via the full-text links available here.
  • Probabilistic modelling and reliability analysis of smart grid optical communication networks
  • Precursor detection for extreme weather in power facilities using deep residual shrinkage networks
  • Quantification of the impact of meteorological large models based on transformer on electricity load
  • Reinforcement learning-based AI framework for interference control in edge-IoT networks with limited resources
  • Deep learning-driven vocal melody generation and simulation of polyphonic harmony arrangements

13 July 2026

Free sample articles newly available from International Journal of Research, Innovation and Commercialisation

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Research pick: Alliance matters for disability inclusion at work - "Supervisor social support and disability inclusion: examining mediation and moderation in employee performance"

Supportive supervisors can improve the performance of employees with disabilities, according to research in the International Journal of Business Innovation and Research. However, the wider workplace environment determines how much that support translates into results.

The researchers analysed survey responses from 441 employees with disabilities and their supervisors across a range of organisations using partial least squares structural equation modelling. This is a statistical technique for examining relationships between multiple factors. The analysis showed that supervisors who provide practical, emotional, and informational support are associated with higher employee performance, both directly and indirectly.

A key mechanism was leader-member exchange, the team explains. This term describes the quality of the working relationship between a manager and an employee. Stronger, trust-based relationships partly explained why supportive supervision was linked to better performance. The findings also highlight the importance of organisational culture. A climate for psychological safety wherein employees feel able to speak up, ask for help, and raise concerns without fear of negative consequences led to greater benefits.

By contrast, stigma by association weakened those gains. This term refers to negative attitudes directed not only at the people with a disability but also at colleagues or supervisors who openly support them, potentially discouraging inclusive behaviour.

The researchers argue that the findings have implications for regions where disability inclusion remains underdeveloped. They recommend disability-focused training for supervisors, formal mentoring relationships between managers and employees with disabilities, regular assessments of psychological safety, and stronger anti-discrimination policies that protect both disabled employees and those who advocate for them.

Slade, H., Sohail, M., Ahmad, A. and Sheraz, F. (2026) ‘Supervisor social support and disability inclusion: examining mediation and moderation in employee performance’, Int. J. Business Innovation and Research, Vol. 40, No. 8, pp.1–27.

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New Open Access article available: "Sustainable corporate boards with employee representation"

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New Open Access article available: "Costly signals and compliance boundaries in human rights diplomacy: China's UPR engagement"

The following International Journal of Public Law and Policy article, "Costly signals and compliance boundaries in human rights diplomacy: China's UPR engagement", is freely available for download as an open access article.

It can be downloaded via the full-text link available here.

10 July 2026

Free Open Access special issue on "Intelligent Learning Ecosystems: AI, Metaverse and Emerging Technologies for Continuing Engineering Education – Part 1" published by International Journal of Continuing Engineering Education and Life-Long Learning

The International Journal of Continuing Engineering Education and Life-Long Learning has published an Open Access issue. All of the issue’s papers can be downloaded via the full-text links available here.
  • Construction and application effect analysis of engineering education knowledge graph based on graph convolutional network
  • Evaluation of mechanical engineering classroom teaching effectiveness based on improved MTCNN algorithm
  • Intelligent English translation scoring method based on multi-angle semantic feature calculation model
  • Dynamic scene motion target segmentation method for physical education
  • Learning path planning method for engineering education based on course group knowledge graph and learner portrait
  • Campus network public opinion monitoring method based on emotional feature extraction and classification
  • Automatic scoring algorithm for English essays based on topic granularity segmentation and feature extraction
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  • Teaching content generation and semantic information extraction for art and design courses targeting AIGC
  • Virtual teaching laboratory based on cloud computing and improved WLC algorithm

Research pick: Click and make-up - "Digital and managerial capabilities, resilience, and innovation for the sustainability of traditional cosmetic businesses in China"

A study of traditional cosmetics retailers in China’s Guangdong province suggests that digital skills alone are not enough to improve long-term business performance. The study, published in the International Journal of Business Information Systems, suggests that value depends on whether traditional companies can use digital skills to become more resilient and innovative.

The researchers surveyed some 424 retailers. They identified three factors that affected performance improvements: mobile marketing, artificial intelligence (AI) capability, and future-orientated managerial skills. These factors were all associated with better organisational resilience. They add that this greater resilience led to increased sustainability both directly and by improving innovation capability.

The findings address a growing challenge for traditional retailers in China, and perhaps elsewhere. Guangdong produces almost half of China’s cosmetics. However, smaller “bricks-and-mortar” businesses face mounting competition from digital-first brands that are changing consumer habits. They also now have to deal with tighter regulatory requirements.

The researchers argue that resilience and innovation bridge digital resources and sustainable performance. This supports two established management theories. The first, the resource-based view, which treats valuable organisational assets as a source of competitive advantage. Secondly, dynamic capabilities theory, which focuses on how firms adapt those resources to changing conditions.

They recommend that business owners invest in accessible AI tools, mobile customer engagement, and leadership development. Conversely, they encourage policymakers to expand programmes that strengthen digital skills among these kinds of small and medium-sized enterprises.

Wang, J. and Rattanapun, S. (2026) ‘Digital and managerial capabilities, resilience, and innovation for the sustainability of traditional cosmetic businesses in China’, Int. J. Business Information Systems, Vol. 52, No. 5, pp.1–20.

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Free sample articles newly available from International Journal of Hospitality and Event Management

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Free Open Access issue published by International Journal of Information and Communication Technology

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  • A deep knowledge reasoning graph for graduate skill requirements
  • Application of multi-modal deep learning in labour education effectiveness analysis and student behaviour prediction in colleges and universities
  • Generative adversarial networks for colour pairing in fashion design based on visual perception constraints
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Prof. Khaled Hussainey appointed as new Editor in Chief of International Journal of Accounting, Auditing and Performance Evaluation

Prof. Khaled Hussainey from Bangor University in the United Kingdom has been appointed to take over editorship of the International Journal of Accounting, Auditing and Performance Evaluation.

9 July 2026

Research pick: Pumping hash cash, saves on gas, gas, gas - "Benchmarking gas-saving patterns in AI-generated DeFi smart contract"

Researchers have developed a benchmarking framework to assess whether artificial intelligence (AI) can generate decentralised finance (DeFi) smart contracts that are efficient and cost-effective, lowering computational costs, known jargonistically as “gas”. The work might address a key problem seen in blockchain-based financial systems.

Decentralised finance (DeFi) is a blockchain-based financial system that provides services such as lending, trading, and asset management without the need for conventional intermediaries such as banks. It uses smart contracts, which are self-executing programs that automatically enforce agreed rules, to allow financial applications to operate on decentralised networks. There is a computational cost associated with transactions, the gas. Reducing gas consumption is the key to lowering costs for users.

The study in the International Journal of Agile Systems and Management looked at Code Llama and Code Llama–Python. These two large language models (LLMs) can generate computer code across three DeFi applications: digital tokens, tokenised vaults, and flash loans.

Rather than comparing AI directly with human developers, the researchers examined gas-saving patterns in AI-generated contracts and created a benchmark that can be applied to both human- and machine-produced code. The results showed that improving gas efficiency is not a simple process, with different contract types requiring different optimisation approaches.

The researchers suggest that AI-assisted contract development could reduce development time, improve accessibility for non-specialists, and help smaller projects build decentralised applications. However, further work is needed to reduce “gas” costs.

Pratama, A.N.W. and Wicaksana, A. (2026) ‘Benchmarking gas-saving patterns in AI-generated DeFi smart contract’, Int. J. Agile Systems and Management, Vol. 19, No. 5, pp.1–26.

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New Open Access article available: "Large language models for vulnerability detection: a multi-use case comparative study"

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  • Urban agriculture between territorial anchoring and challenges of urbanisation: case of Guersif City (Eastern Morocco)

New Open Access article available: "Supervisor social support and disability inclusion: examining mediation and moderation in employee performance"

The following International Journal of Business Innovation and Research article, "Supervisor social support and disability inclusion: examining mediation and moderation in employee performance", is freely available for download as an open access article.

It can be downloaded via the full-text link available here.

8 July 2026

New Open Access article available: "An adaptive variable frequency control method for motor speed based on PLC"

The following International Journal of Internet Manufacturing and Services article, "An adaptive variable frequency control method for motor speed based on PLC", is freely available for download as an open access article.

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Research pick: On the money - "A financial data forecasting and optimisation model combining LSTM and convolutional neural networks"

A hybrid artificial intelligence model that combines two well-established deep learning techniques has improved the accuracy of financial market forecasts across major stock indices and so-called cryptocurrency, according to work in the International Journal of Reasoning-based Intelligent Systems.

The researchers designed the model, CLSTM-HN, to address a long-standing problem in financial forecasting. That is to balance the detection of short-term market movements with recognition of longer-term trends. The researchers tested the system on publicly available data and achieved a forecasting error lower by 15 to 20 per cent compared with conventional long short-term memory (LSTM) models. They also saw an improvement in the accuracy of predicting whether prices would rise or fall by 10 to 14 per cent.

Financial markets are difficult to predict because prices are volatile, noisy and subject to sudden structural shifts. Traditional statistical approaches often rely on assumptions about market behaviour that break down during periods of instability.

The new system combines a convolutional neural network (CNN), which identifies local patterns within data, with an LSTM network, which retains information over long sequences. An adaptive alignment mechanism converts CNN outputs into a form the LSTM can process more effectively, while the training objective rewards both numerical accuracy and correct prediction of market direction.

Wang, M. and Wu, Y. (2026) ‘A financial data forecasting and optimisation model combining LSTM and convolutional neural networks’, Int. J. Reasoning-based Intelligent Systems, Vol. 18, No. 17, pp.83–99.

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Free sample articles newly available from International Journal of Critical Accounting

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  • Understanding compliance management practices of ready-made garment industries in Bangladesh: revisiting the challenges and pathways
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Free Open Access issue published by International Journal of Electronic Marketing and Retailing

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  • The role of scarcity cues and consumer attitudes in driving compulsive buying: an S-O-R analysis of flash sales in e-commerce
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7 July 2026

New Open Access article available: "Learning under the inventory problem of economic order quantity: a behavioural study"

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Research pick: You can tell me by the way I walk - "Dual-stream spatiotemporal fusion with dynamic feature mapping for gait-based identity recognition"

Artificial Intelligence (AI) can identify people by the way they walk. The technology focuses on how a person’s joints move, rather than on body shape alone, and could improve long-distance identity verification for security and law enforcement.

Writing in the International Journal of Reasoning-based Intelligent Systems, the team describes the SKDMap-Net system, which analyses a person’s gait using estimated body keypoints from video input. The system calculates joint positions, angles, and angular velocity and acceleration to capture the distinctive features of an individual’s gait. It copes with the effects of different types of clothing, camera angle, and even partial obstruction.

The model processes body position and movement information separately before combining them. It also uses an attention mechanism, a machine learning technique that assigns greater importance to different body parts depending on the scene, such as arm movements if the legs are obscured.

In tests on three public gait-recognition datasets, the system outperformed existing approaches. The approach could make gait recognition more reliable and at the same time reduce the amount of personal visual information that must be processed.

Quan, B. and Zhang, B. (2026) ‘Dual-stream spatiotemporal fusion with dynamic feature mapping for gait-based identity recognition’, Int. J. Reasoning-based Intelligent Systems, Vol. 18, No. 17, pp.67–82.

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Free Open Access issue published by International Journal of Reasoning-based Intelligent Systems

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  • Automated assessment of mental health integrating emojis and BERT
  • An AI-driven multimodal fusion and graph-temporal modelling framework for developmental assessment of social competence and emotional expression in preschool children
  • Oil painting style transfer with staged spatial-channel attention in encoder and decoder
  • Dual-stream spatiotemporal fusion with dynamic feature mapping for gait-based identity recognition
  • A financial data forecasting and optimisation model combining LSTM and convolutional neural networks

6 July 2026

Research pick: Brand attachment blunts consumer risk perception - "When negative news fails to deter: the emotional shielding effect of brand attachment on perceived risk"

Strong emotional attachment to a brand may help explain why some consumers remain loyal even in the wake of negative publicity, according to research in the International Journal of Business and Emerging Markets.

The team analysed survey responses from 189 consumers and found that trust increased purchase intentions while reducing perceived risk. Perceived risk is the likelihood that buying a product could lead to financial, safety or other problems. However, emotional attachment to the brand affects how these factors interact. Those consumers with a weaker attachment tended to follow a conventional pattern. In this case, greater trust reduced perceived risk and supported purchase decisions. Among consumers with a stronger brand attachment, their emotional commitment led them to be less influenced by risk assessments.

The researchers describe this as an emotional shielding effect. The brand is so linked to the consumer’s identity that negative information about the brand carries less weight than for those people where the emotional ties don’t shape their decision-making and they are more rational about their purchasing choices.

The findings are based on a cross-sectional survey, which means they reveal a statistical association rather than a direct cause and effect. The survey was associated with a particular vehicle brand and its customers in China.

The work highlights a shift in marketing theory. As social media accelerates the spread of bad news of product failures, data breaches, and corporate controversies, companies must not view their customer relationships as being based on more than trust alone. Emotional attachment, the study suggests, can shape how consumers interpret negative information and whether they remain loyal. This could guide marketing practice.

Xue, X., Zhang, Y. and Zhang, Q. (2026) ‘When negative news fails to deter: the emotional shielding effect of brand attachment on perceived risk’, Int. J. Business and Emerging Markets, Vol. 18, No. 8, pp. 1–29.

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