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Intent detection (ID) and slot filling (SF) are two important tasks in natural language understanding. ID is to identify the main intent of a paragraph of text. The goal of SF is to extract the information that is important to the intent from the input sentence. However, most of the existing methods use sentence-level intention recognition, which has the risk of error propagation, and the relationship between intention recognition and SF is not explicitly modeled. Aiming at this problem, this paper proposes a collaborative model of ID and SF for intelligent spoken language understanding called ID-SF-Fusion.

ID-SF-Fusion uses Bidirectional Encoder Representation from Transformers (BERT) and Bidirectional Long Short-Term Memory (BiLSTM) to extract effective word embedding and context vectors containing the whole sentence information respectively. Fusion layer is used to provide intent–slot fusion information for SF task. In this way, the relationship between ID and SF task is fully explicitly modeled. This layer takes the result of ID and slot context vectors as input to obtain the fusion information which contains both ID result and slot information. Meanwhile, to further reduce error propagation, we use word-level ID for the ID-SF-Fusion model. Finally, two tasks of ID and SF are realized by joint optimization training.

We conducted experiments on two public datasets, Airline Travel Information Systems (ATIS) and Snips. The results show that the Intent ACC score and Slot F1 score of ID-SF-Fusion on ATIS and Snips are 98.0 per cent and 95.8 per cent, respectively, and the two indicators on Snips dataset are 98.6 per cent and 96.7 per cent, respectively. These models are superior to slot-gated, SF-ID NetWork, stack-Prop and other models. In addition, ablation experiments were performed to further analyze and discuss the proposed model.

This paper uses word-level intent recognition and introduces intent information into the SF process, which is a significant improvement on both data sets.

Governance models are a defining characteristic of health-care systems, yet little research is available about the governance of health-care delivered in correctional facilities. This study aims to explore the perspectives of correctional services leaders in British Columbia, Canada, on the motivations for transferring responsibility for health-care services in provincial correctional facilities to the Ministry of Health, as well as key lessons learned.

Eight correctional services leaders participated in one-on-one interviews between September 2019 and February 2020. The authors used inductive thematic analysis to explore key themes. To triangulate early effects of the transfer identified by participants the authors used complaints data from Prisoners’ Legal Services to examine changes over time.

The authors identified four major themes related to the rationale for this transfer: 1) quality and equivalence of care, 2) integration and throughcare, 3) values and expertise and 4) funding and resources. Facilitators included changes in the external environment, having the right people in the right places, a strong sense of alignment and shared goals and a changing culture in corrections. Participants also highlighted challenges, including ongoing human resourcing issues, having to navigate and define shared responsibilities and adapting a large bureaucracy to the environment in corrections. Consistent with outcomes described by participants, data showed that a lower proportion of complaints received after the transfer were related to health-care.

The perspectives of correctional leaders on the transfer of governance for health-care services in custody to the community health-care system provide novel insights into the processes and potential of this change.

This study aims to investigate how university students experience a skill transformation process aligned with the sustainable development goals (SDGs). This transformation occurs through their participation in a service-learning programme alongside an international volunteering project. The theoretical framework for understanding this skill transformation process is based on the “rite of passage”.

Qualitative methodology is adopted by conducting 23 online surveys with volunteers (virtual and onsite) and five with coordinators across the rite of passage phases. Volunteering was carried out in five Mayan indigenous communities in Mexico as part of an international cooperation project with the goals of supporting community-based tourism development and strengthening volunteers’ skills in accordance with the SDGs.

Results show that international volunteering programmes for university students significantly enhance their interpersonal and professional skills, demonstrating strong potential for implementing the SDGs. These programmes provide learning and education opportunities for both volunteers and local communities. Volunteers gain a broader perspective on gender equality and cultural barriers. Additionally, volunteering supports sustainable tourism, economic worth and collaboration among institutions. Both volunteers’ personal characteristics (educational level and sociocultural context), as well as their sociocultural context, influenced the perception of the skill transformation process and learning about the SDGs. Finally, a new educational university programme in volunteering aligned with SDGs is proposed.

This research examines the practical ramifications of incorporating volunteer programmes into university courses. Universities must include these initiatives in their educational systems as a means of enhancing student learning.

A new educational university programme in volunteering aligned with SDGs is proposed. This study suggests a shift in university mindset, as well as increased funding for training and adherence to the SDGs.

This study pioneers the rite of passage framework in an international volunteer tourism project facilitated by universities, emphasizing volunteering as a valuable tool for SDG implementation, considering the interrelationships between objectives.

Studies in corporate social responsibility (CSR) disclosure were initially focused more on disclosure “Quantity” than “Quality” and while they have started to explore “Disclosure Quality”, their assessment mechanisms are found to be immature. Thus, while a number of papers have sought to assess the quality of CSR disclosure, this paper aims to suggest an approach tied closely to both expectations in assessing “quality” derived from the Conceptual Framework for Financial Reporting (revised 2018) and the global reporting initiative. The outcome is to offer a best practice approach to assessing CSR disclosure quality.

In this paper, prior literature is reviewed, qualitative characteristics from the Conceptual Framework for Financial Reporting (revised 2018) and globally recognised guidelines such as the GRI are reviewed. The framework for a “CSR disclosure quality index” as an assessment tool to assess CSR disclosure quality is developed from qualitative characteristics and criteria identified.

The proposed CSR disclosure quality index is developed in stages from the qualitative characteristics identified in the Conceptual Framework for Financial Reporting (revised 2018) and criteria identified from the guidelines discussed. A table was then developed linking the qualitative characteristics to criteria providing a Likert scale approach to assessing the disclosures made by companies to make an assessment of the quality of the companies’ reports. It is argued this provides a robust assessment, being a direct and comprehensive measure of disclosure quality.

As with most qualitative work, there are alternative approaches to establishing an index, but the authors believe this is an approach offering links (and, therefore, credibility) to globally recognised guidelines in the assessment of CSR disclosure quality. Future work could enhance the alignment of this index with the sustainable development goals (SDGs), building on the preliminary connections established in this study.

At a practical level this index offers an approach to reviewing the quality of CSR disclosures which could prove useful to policymakers and in the future development and expansion of this framework offering greater objectivity to assessments and justification for proposed improvement in reporting practice. Also, this index serves as a benchmarking tool for companies to meet the disclosure expectations of stakeholders.

This approach has the potential to substantially fulfil stakeholder expectations by addressing the growing demand for transparency in this area, while avoiding practices that could be perceived as superficial or misleading (greenwashing). Focusing on social issues enables stronger connections between companies and their stakeholders. Furthermore, the index helps companies link their CSR efforts with SDGs and show their commitment to long-term social value building in discussion of governance factors to show accountability expectations are being met.

This paper contributes to CSR disclosure quality literature and provides a reliable method of assessing the quality of CSR disclosures. Opportunities for further and broader developments can be envisaged while offering a credible and reliable approach.

This research analyzes online consumer reviews and ratings to assess e-retail order fulfillment performance. The study aims to (1) identify consumer journey touchpoints in the order fulfillment process and (2) determine their relative importance for the consumer experience.

Text mining and analytics were employed to examine over 100 m online purchase orders, along with associated consumer reviews and ratings from Amazon US. Using natural language processing techniques, the corpus of reviews was structured to pinpoint touchpoints related to order fulfillment. Reviews were then classified according to their stance (either positive or negative) toward these touchpoints. Finally, the classes were correlated with consumer rating, measured by the number of stars, to determine the relative importance of each touchpoint.

The study reveals 12 touchpoints within the order fulfillment process, which are split into three groups: delivery, packaging and returns. These touchpoints significantly influence star ratings: positive experiences elevate them, while negative ones reduce them. The findings provide a quantifiable measure of these effects, articulated in terms of star ratings, which directly reflect the influence of experiences on consumer evaluations.

The dataset utilized in this study is from the US market, which limits the generalizability of the findings to other markets. Moreover, the novel methodology used to map and quantify customer journey touchpoints requires further refinement.

In e-retail and logistics, comprehending touchpoints in the order fulfillment process is pivotal. This understanding helps improve consumer interactions and enhance satisfaction. Such insights not only drive higher conversion rates but also guide informed managerial decisions, particularly in service development.

Drawing upon consumer-generated data, this research identifies a cohesive set of touchpoints within the order fulfillment process and quantitatively evaluates their influence on consumer experience using star ratings as a metric.

This chapter focuses on the US Civil War of 1861–1864, the application of the laws of war to a civil war, and gives great attention to US Army General Order 100 (aka The Lieber Code), the first set of laws to direct and constrain the behavior of troops in the field.

This paper aims to compare the mission statements of Indian and Singaporean firms in the healthcare sector, and define the main components of Indian and Singaporean mission statements.

The study was based on a network analytic approach and content analysis. The research was performed on 200 companies (100 Indian companies and 100 Singaporean companies). For each company, we searched for a mission statement published in the company website. Nonnegative Matrix Factorization (NMF) in Python programming language was utilized to obtain the differences in the components of mission statements between Indian and Singaporean firms.

The study results indicate a similarity and variation between Indian and Singaporean mission statements. Both countries are more concerned about patients, service, community, quality, and healthcare in their mission statements, but Indian mission statements emphasize quality, affordable price, and technology more than Singaporean firms. In contrast, Singaporean mission statements tend to highlight innovation and company value. This research will assist strategic managers in identifying the mission statement components and choosing the right strategy for the organization.

This study contributes to the literature and ethos theory by identifying and distinguishing the paramount differences between the Indian and Singaporean mission statement components in the healthcare sector.