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Case studies on LLM centric and services oriented data analytics agent development
Full text linkThis paper presents a novel service orchestration framework for a chatbot application focused on data analytics questions. The framework integrates Large Language Models (LLMs) with service-oriented computing to transform data analytics into a dynamic, conversational experience. The approach leverages advancements in LLM technology to enable real-time, automated data insights via chatbot interfaces, making complex data analytics accessible across various industries. In addition, the data will be processed and analysis at edge-machine rather than post all the data directly to the LLMs on the cloud. Therefore, the Central to the framework is the local Micro Analytics Service (MAS) and a dynamic service-data coordination framework, which together facilitate the decoupling of data from business logic, allowing for intuitive engagement with analytics processes. Through two case studies, retail data analysis and regional healthcare planning, the ability of the framework to provide actionable insights through natural language prompts is demonstrated, showcasing its potential to significantly reduce barriers to sophisticated data analytics. The evaluation reveals strong performance in data connection and code generation, with identified areas for improvement in visualizations and handling complex data scenarios
Identifying factors affecting the adoption of information systems from the point of view of accountants of companies listed on the Tehran Stock Exchange
Full text linkThe aim of the research is to identify the factors affecting the acceptance of information systems from the perspective of accountants of companies listed on the Tehran Stock Exchange. This research examines the factors influencing the adoption of accounting systems from the point of view of accountants using the integration of the unified model of technology acceptance and use, technology fit, task and institutional theory. In terms of the practical purpose and method of data collection, the present study is a descriptive-survey based on the standard questionnaire of Venkatesh et al. (2003) for the variables related to the integrated model of acceptance of technology use and from the questionnaire of Goodhue and Thompson (1995) for the task technology fit variable and from the standard questionnaire of DiMaggio. and Powell (1983) was used for variables related to institutional pressures. Analysis and measurement of the model was done using the structural equation model. The software used in this research for analysis is Smart PL3. The information was collected using a questionnaire distributed among the accountants of the companies listed to the Tehran Stock Exchange in 2019 and 200 questionnaires were confirmed and analyzed. The results showed that all the constructs of the model (i.e. self-efficacy, effort expectancy, performance expectancy, perceived technology fit,coercive pressure and mimetic pressure) except for the structure of facilitating conditions in research has a positive and direct relationship in the acceptance of accounting information system. On the other hand, the moderating variables of age, gender and industry had an effect on the behavioral intention of accountants in accepting the accounting information system and moderated it, but the experience variable in self-efficacy did not moderate the relationship
The moderation and mediation role of employee engagement and dynamic capabilities on leadership decision making and organisational performance in the UAE energy sector
Full text linkThe UAE's energy sector plays a crucial role in the country's economy, making its performance vital for sustainable economic contributions. This study investigates the interrelationship among three key factors: leadership decision-making, dynamic capabilities, and employee engagement. The aim is to provide a comprehensive understanding of the mechanisms driving organisational performance in the UAE Energy Sector's challenging environment. Using a quantitative causal design, the study gathered opinions from 383 strategically placed employees in the UAE energy sector. Having meticulously chose these personnel from several industries, especially focussing on those in grades 13 and higher. Structural equation modelling was utilised to examine the intricate interactions between the variables. A partial least squares structural equation model was employed to evaluate the proposed hypotheses. The findings indicate that leadership decisions have a strong influence on various organisational capabilities. Strong evidence suggests that leadership decisions significantly impact the abilities to coordinate, integrate, learn, and sense. This is shown by high beta coefficients and strong statistical significance in all of these areas. These relationships suggest that leadership plays a crucial role in enhancing the core functions of an organisation by effectively shaping and guiding its capabilities. Each of these capabilities shows a strong positive association with leadership decision-making, highlighting its central importance in the overall organisational structure.
The direct impacts of these capabilities on organisational performance vary. Sensing capabilities show a significant positive relationship with performance, indicating that this capability directly contributes to better outcomes. On the other hand, coordinating, integration, and learning capabilities do not exhibit a significant influence on performance, with some even showing weak or negative relationships. Despite this, leadership decision-making itself has a moderate but significant positive effect on organisational performance, highlighting that, while the direct contributions of certain capabilities may be limited, strong leadership remains a key driver of overall success. This study contributes empirical evidence supporting the integration of social exchange theory, path-goal theory, and toxic triangle theory within a single framework, offering a novel perspective on the intersection of leadership, capabilities, and performance. It underscores the importance of dynamic capabilities as a mediating factor between leadership decisions and organisational outcomes. Furthermore, the research highlights employee engagement as a vital component in this dynamic by advocating for strategies that foster employee commitment and optimise organisational performance. By spotlighting these connections, the study provides actionable insights for leaders within the UAE energy sector to enhance their strategic decision-making processes and cultivate a culture that promotes engagement and adaptability
RBDPM: Risk-Based Differential Privacy Model for Trajectory Data
Full text linkPersonal safety applications enable users to communicate emergency situations to relevant third parties and local authorities. Location-Based Services play a crucial role in the capture and exchange of data, including location and personal identifiable information, to better inform emergency response efforts. Maximising the effectiveness of these safety applications requires the data to be accurate and informative yet prevent the exposure of sensitive user information. Current solutions often fail to adequately protect this sensitive data in the attempt to maintain accurate and useful information for emergency response. Therefore, personal safety solution safety applications should be able to protect the privacy of individuals without compromising the overall utility and accuracy of the data. This thesis presents a Risk-Based Differential Privacy Model for Location Data that is designed to assess safety-critical factors and attributes associated with users and scenarios to provide a dynamic balance for trajectory data utility and privacy trade-off. The model assesses the safety-critical factors facing the user from the data and quantifies the risk in the Hazard Assessment Module. The quantified risk informs the level of privacy parameters in the Privacy Preservation Module, which will determine the levels of noise to be added to the dataset in the Noise Application Module to ensure that lower risk levels can afford maximum privacy, whereas high-risk scenarios will result in reduced privacy without losing data utility. The resulting noise-injected trajectory dataset is processed using the Linear Regression model to validate this concept and evaluate the impact of data utility and privacy trade-off in the dataset during processing. The performance of the dataset to retain utility while ensuring privacy during processing is analysed using evaluation criteria metrics that explore the efficiency, generalisation, and robustness of the dataset. The metrics outcome show that the noise-injected dataset can maintain good data utility while safeguarding the privacy of the user when processed. The outcome emphasises the importance of exploring factors and attributes associated with safety-critical data by the user and the dataset to dynamically find the optimal balance for the data utility and privacy trade-off
Lean service 5.0 in dairy production: an empirical evaluation from the perspective of the sociotechnical and circular economy approach
Full text linkThe Lean Service 5.0 concept improves service operations through socio-technical innovation, while the Circular Economy enables sustainable processes. Thus, this research aims to empirically diagnose the key enablers of adopting LS5.0 in the dairy production system from the CE perspective. To achieve this objective, we conducted a multiple case study through structured qualitative interviews with eight dairy farmers from two of the largest milk-producing regions of Brazil, followed by a content analysis based on Bardin (2011). The results indicated four central factors: digital transformation, value co-creation, LS5.0 implementation, and CE concepts, presented as guidelines for applying LS5.0 in the dairy sector to support sustainable agro-industrial activities. The findings highlighted that LS5.0 technologies were key enablers for farmers to promote CE in the dairy supply chain, followed by management systems and continuous improvement. This study offers empirical and theoretical support for developing dairy systems, contributing to academic research and supporting professionals
Are traditional laws fit for purpose? A critique of the law governing the criminal liability of digital providers for cyber-sex-trafficking
No full textFrom objectors to supporters: developing targeted pro-environmental behavioural change interventions
Full text linkThis study applies the Values-Belief-Norm (VBN) theory to develop pro-environmental behaviour change interventions for Peak District National Park (PDNP), England, UK, which can be used to influence travellers. Through 14 semi-structured interviews with 18–25-year-old PDNP visitors, the research identified two distinct groups: Supporters and Objectors. The analysis revealed three key interventions: (1) visual demonstrations of personal environmental impact targeting Objectors to enhance awareness, (2) enhanced local government involvement in issues such as litter management to strengthen the connection between awareness and responsibility, promoting shared responsibility, and (3) the use of peer influence and rewards to transform individual values into collective pro-environmental actions to enhance social impact. The proposed interventions allow destination managers and policymakers to address individuals’ psychological barriers, leveraging their social norms, and provide tangible infrastructural support to enhance pro-environmental behaviours
The development of the Polish version of the compassionate engagement and action scales
Full text linkCompassion has been a subject of extensive scientific research for over two decades. There is clear evidence that our capacity for compassion evolved out of care motivation. Like all motivations it is operated via stimulus response algorithms. For compassion motivation stimulus sensitivity focuses on the processing of indicators of suffering, distress and need, called engagement. The response functions switch attention and processing to what is likely to be helpful in alleviating suffering, distress and need, called action. The Compassion Engagement and Action Scales (CEAS) were developed to measure the S-R algorithm of compassion. Because compassion, like other psychological phenomena can operate interpersonally and intrapersonally, there are three scales that give separate assessments for directing compassion to 1. the self, 2. others and 3. responsiveness to compassion from others. They have been used in many international studies and there is now substantial evidence. The research aimed to validate the CEAS within a Polish population. The three cross-sectional studies involved a total of 1,219 participants from Poland. Confirmatory factor analysis conducted on two separate samples indicates that bifactor models provide the best fit for both the Compassion for Others scale and the Compassion from Others scale. In the first, the model includes a general compassion for others factor alongside specific factors for engagement and actions. Similarly, the second features a general compassion from others factor with the same specific factors. This means that being sensitive to suffering and taking action represent specific components of compassion. However, the bifactor model for Compassion for Self requires further refinement due to lower fit indices and the need for item adjustments. The study results generally support the reliability and validity of the CEAS-PL across diverse samples, aligning with findings from previous studies on the original tool and its language adaptations. Notably, tests of validity—including correlations with emotion regulation, well-being, and attachment styles—highlighted distinct patterns for the three flows of compassion, underscoring their conceptual independence. The CEAS-PL shows promise as a valuable tool for psychological research and practice, especially in the areas of pro-social behaviour and helping people with mental health problems, facilitating the assessment of compassion across different orientations. It may support practitioners in identifying individual competencies and tailoring interventions to enhance compassion-related competencies to address particular difficulties
Recent patterns and trends in UK dog theft
Full text linkThe last few years have witnessed growing concerns in the UK over the crime of dog theft. Despite this, however, comparatively little has been written on the phenomenon of dog theft in the UK. The aims of this article are (1) to identify variation in the extent of dog theft in the UK for the period 2020-2022 and (2) to determine patterns of dog theft during this period. To achieve these aims, the article presents an analysis of Police FOI data for the period 2020-2022 as well as data provided by the UK’s largest free national database of lost and stolen dogs, DogLos
Resource for SEND Practitioners
Full text linkThe resource is designed to help SEND practitioners facilitate conversations with children and young people identified as having SEND so that they can help them:
-feel more confident to talk about their SEND with SEND practitioners and teachers, their classmates, friends and families;
-think about what their SEND means to them and take ownership of it;
-understand what their SEND means to others;
-understand how their SEND and support may or may not change in the future, and
- advocate for their needs and educate others.
The five sections are headed:
-Silence around SEND
-EHCPs
-Belonging
-Learning
-Futures
The resource is based on the finding of the Young Researchers Young Voices co-research project where five young people identified as having SEND worked with more experienced researchers from the University of Derby