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Considering the influence of deformation error, the target poses must be corrected when compensating for positioning error but the efficiency of existing positioning error compensation algorithms needs to be improved. Therefore, the purpose of this study is to propose a high-efficiency positioning error compensation method to reduce the calculation time.

The corrected target poses are calculated. An improved back propagation (BP) neural network is used to establish the mapping relationship between the original and corrected target poses. After the BP neural network is trained, the corrected target poses can be calculated with short notice on the basis of the pose correction similarity.

Under given conditions, the calculation time when the trained BP neural network is used to predict the corrected target poses is only 1.15 s. Compared with the existing algorithm, this method reduces the calculation time of the target poses from the order of minutes to the order of seconds.

The proposed algorithm is more efficient while maintaining the accuracy of the error compensation.

This method can be used to quickly position the error compensation of a large parallel mechanism.

The aim of this paper is to provide a unique perspective on entrepreneurship by examining how different ways of understanding entrepreneurial orientation (EO) affect business performance (BP). The study uses a five-dimensional approach to understand EO’s relationship with BP.

A personal survey of key informants (who have decision-making power in their firm), one each from 550 North Indian firms has been conducted. The hypotheses were tested using confirmatory factor analysis and structural equation modeling.

The results indicate that both uni-dimensional and multi-dimensional conceptualizations of EO are equally valid and have a significant impact on BP. The study highlights the contextual nature of the relationship between EO and BP.

This study supports a comprehensive five-dimensional approach to EO, benefiting researchers and management practitioners. It validates an integrated measurement of BP and advances entrepreneurship theories, enabling broader generalizations for improved decision-making and strategy development.

The study is relevant for researchers and management practitioners. This study supports the five-dimensional conceptualization of EO and reveals the relevance of both uni-dimensional and multi-dimensional conceptualizations of EO. The study also lends support to the integrated approach of BP measurement. The results may also help to generalize entrepreneurship theories.

This study aims to conduct text mining and semantic network analysis of muscle-supportive and posture-corrective wearable robots for the elderly to understand key terms related to the topic and to identify considerations for developing these types of clothing.

The authors searched and identified the key terms wearable robot, muscle-supportive, posture correction and elderly using the text-mining software Textom to extract terms as well as the network analysis software UCINET 6 to process and visualize the relationships among the terms. The authors compared and analyzed the term frequency (TF), the TF-inverse document frequency and the degree centrality of the terms, and the authors visualized and summarized the terms using NetDraw.

The key terms and their relationships in 3–4 groups were identified: wearable robot, muscle-supportive, posture correction and elderly. The authors identified the aspects of designing muscle-supportive and posture-corrective wearable robots for the elderly.

This study contributes to the field of muscle-supportive clothing and wearable robotics by deriving insights into what people are discussing and interested in, and by offering recommendations when developing these types of clothing for the elderly.

The purpose of this paper is to present the educational computer emergency response team (EduCERT) framework, an integrated response mechanism to bolster national cybersecurity through collaborative efforts in the higher education sector. The EduCERT framework addresses this gap by enhancing cyber security and mitigating cybercrime through collaborative incident management, knowledge sharing and university awareness campaigns.

The authors propose an EduCERT framework following the design science methodology. The framework is developed based on literature and input from focus group experts. Moreover, it is grounded in the principles of the technology-organization-environment framework, organizational learning and diffusion of innovations theory.

The EduCERT has eight components: infrastructure, governance, knowledge development, awareness, incident management, evaluation and continuous improvement. The framework reinforces national cybersecurity through cooperation between universities and the National Computer Emergency Response Team. The framework has been implemented in Jordan to generate a cybersecurity foundation for higher education. Evaluating the EduCERT framework’s influence on national cybersecurity highlights the importance of adopting comprehensive cyber-security policies and controls. The framework application shows its relevance, effectiveness, adaptability and alignment with best practices.

Despite the impact of applying the framework in the Jordanian context, it is essential to acknowledge that the proposed EduCERT framework’s practical implementation may encounter challenges specific to diverse international educational environment sectors. However, framework customization for global applicability could address varied educational institutions in other countries.

Furthermore, the proposed EduCERT framework is designed with universal applicability that extends beyond the specific country’s context. The principles and components presented in the framework can serve as valuable design advice for establishing collaborative and resilient cybersecurity frameworks in educational settings worldwide. Therefore, the research enhances the proposed framework’s practical utility and positions it as an invaluable contribution to the broader discourse on global cybersecurity in academia.

This paper enhances national cybersecurity in the higher education sector, addressing the need for a more integrated response mechanism. The EduCERT framework demonstrates its effectiveness, adaptability and alignment with best practices, offering valuable guidance for global educational institutions.

This pragmatic research paper aims to unravel the smart vision-based method (SVBM), an AI program to correlate the computer vision (recorded and live videos using mobile and embedded cameras) that aids in manual lifting human pose deduction, analysis and training in the construction sector.

Using a pragmatic approach combined with the literature review, this study discusses the SVBM. The research method includes a literature review followed by a pragmatic approach and lab validation of the acquired data. Adopting the practical approach, the authors of this article developed an SVBM, an AI program to correlate computer vision (recorded and live videos using mobile and embedded cameras).

Results show that SVBM observes the relevant events without additional attachments to the human body and compares them with the standard axis to identify abnormal postures using mobile and other cameras. Angles of critical nodal points are projected through human pose detection and calculating body part movement angles using a novel software program and mobile application. The SVBM demonstrates its ability to data capture and analysis in real-time and offline using videos recorded earlier and is validated for program coding and results repeatability.

Literature review methodology limitations include not keeping in phase with the most updated field knowledge. This limitation is offset by choosing the range for literature review within the last two decades. This literature review may not have captured all published articles because the restriction of database access and search was based only on English. Also, the authors may have omitted fruitful articles hiding in a less popular journal. These limitations are acknowledged. The critical limitation is that the trust, privacy and psychological issues are not addressed in SVBM, which is recognised. However, the benefits of SVBM naturally offset this limitation to being adopted practically.

The theoretical and practical implications include customised and individualistic prediction and preventing most posture-related hazardous behaviours before a critical injury happens. The theoretical implications include mimicking the human pose and lab-based analysis without attaching sensors that naturally alter the working poses. SVBM would help researchers develop more accurate data and theoretical models close to actuals.

By using SVBM, the possibility of early deduction and prevention of musculoskeletal disorders is high; the social implications include the benefits of being a healthier society and health concerned construction sector.

Human pose detection, especially joint angle calculation in a work environment, is crucial to early deduction of muscoloskeletal disorders. Conventional digital technology-based methods to detect pose flaws focus on location information from wearables and laboratory-controlled motion sensors. For the first time, this paper presents novel computer vision (recorded and live videos using mobile and embedded cameras) and digital image-related deep learning methods without attachment to the human body for manual handling pose deduction and analysis of angles, neckline and torso line in an actual construction work environment.

In recent years, Yoga practice has seen a rapid rise in popularity with many positive consequences, both physical and mental attributed to its practice. Ashtanga Yoga has been less well researched in this area and is the specific focus on this work. The aim of this study is to investigate the possible positive impact of long-term Ashtanga Yoga on psychological well-being.

In total, 213 long-term Ashtanga Yoga practitioners were asked to complete the positive emotion, engagement, relationships, meaning, accomplishment (PERMA) 23 scale (Butler and Kern, 2016) which measures psychological well-being. The values given by these individuals were then compared against a larger sample of 31,966 representative of the general population.

Scores were then compared with a PERMA data set representative of the general population (see Butler and Kern, 2016), primarily using a test of difference to compare samples. Secondly, the causal relationship between time spent in practice upon well-being scores.

Findings indicated that those individuals engaged in long-term Ashtanga Yoga practice significantly outperformed the control group on all dimensions of psychological well-being.

This work has demonstrated specific benefits to the practice of Ashtanga Yoga on psychological well-being. Yoga is a form of exercise that is now widely available across the globe, and as such, represents an accessible form of physical practice, which has important psychological benefits.

To the authors’ knowledge, this is the first work investigating differences in psychological well-being profiles using PERMA, as a function of Yoga practice.

This research paper aims to provide a comprehensive analysis of the ergonomic risks faced by employees in the IT industry who work from home (WFH). With the increasing prevalence of remote work, understanding and addressing ergonomic challenges are crucial to ensure the well-being, productivity and long-term health of IT professionals.

The data are gathered through a survey questionnaire which includes demographic factors, job-related factors, quick video display terminal (VDT) workspace evaluation factors, quick chair design usability evaluation factors and the Cornell Musculoskeletal Discomfort Questionnaire (CMDQ) in order to measure the ergonomic risks among them. The risk factors associated with each body part are determined using ordinal logistic regression.

Highest occurrence of musculoskeletal disorders was observed in the neck, hip and lower back among WFH employees. By identifying and prioritizing these risks, organizations and individuals can implement effective strategies to promote a healthy and ergonomic work environment for remote IT employees.

This research contributes new insights that will be helpful for researchers and practitioners working in the areas of ergonomic risks, improving performance of work from home employees and provides suggestions for future research to explore and enrich the existing knowledge base.

This study aims to offer insights into the state of research covering cybersecurity, cyber insurance and small- to medium-sized enterprises (SMEs). It examines benefits of insurance to an SME’s security posture, challenges faced, and potential solutions and outstanding research questions.

Research objectives were formulated, and the Preferred Reporting Items for Systematic Reviews and Meta-Analyses Protocol was used to perform a systematic literature review (SLR). A total of 19 papers were identified from an initial set of 451.

This research underscores the role of cybersecurity in the value proposition of cyber insurance for SMEs. The findings highlight the benefits that cyber insurance offers SMEs including protection against cyber threats, financial assistance and access to cybersecurity expertise. However, challenges hinder SME’s engagement with insurance, including difficulties in understanding cyber risk, lack of cybersecurity knowledge and complex insurance policies. Researchers recommend solutions, such as risk assessment frameworks and government intervention, to increase cyber insurance uptake/value to SMEs.

There is a need for further research in the risk assessment and cybersecurity practices of SMEs, the influence of government intervention and the effectiveness of insurers in compensating for losses. The findings also encourage innovation to address the unique needs of SMEs. These insights can guide future research and contribute to enhancing cyber insurance adoption.

To the best of the authors’ knowledge, this is the first SLR to comprehensively examine the intersection of cybersecurity and cyber insurance specifically in the context of SMEs.

This study aims to analyze the alignment between sustainable performance and sustainability planning in higher education, proposing a strategic map that integrates planning with the implementation of performance actions and sustainable performance on campuses.

The literature review development addresses sustainability in higher education institutions (HEIs). Data collection took place in two ways, documentary, through the analysis of documents and through an open interview, guided by a script with 13 questions. For data interpretation, the content analysis technique was applied.

To achieve the objective of this work, this study proposed a sustainable performance strategic map for better management of the university’s green strategies, based on three dimensions: internal processes, educational and sustainable performance.

This study’s main contribution was to propose a sustainable performance strategic map as a strategic management system aimed at HEIs to accelerate the promotion of sustainability in these organizations.

This study aims to evaluate blockchain as an e-government governance model. It assesses its alignment with legal frameworks, emphasizing robustness against disruptions and adherence to existing laws.

The paper explores blockchain’s potential in e-government, focusing on legal, ethical and governance aspects. It conducts an in-depth analysis of blockchain’s integration into data governance, emphasizing legal compliance and resilient security protocols.

The study comprehensively evaluates blockchain’s implementation, covering privacy, interoperability, consensus mechanisms, scalability and regulatory alignment. It highlights governance’s critical role in ensuring legal compliance within blockchain paradigms.

Ethical and legal concerns arising from blockchain adoption remain unresolved. The study underscores how blockchain challenges its core principles of anonymity and decentralization in e-government settings.

The framework outlined offers potential for diverse technological environments, albeit raising ethical and legal queries. It emphasizes governance’s pivotal role in achieving legal compliance in blockchain adoption.

Blockchain’s impact on legal and ethical facets necessitates further exploration to align with its core principles while addressing governance in e-government settings.

This study presents a robust framework for assessing blockchain’s viability in e-government, emphasizing legal compliance, despite ethical and legal intricacies that challenge its fundamental principles.