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Quality management (QM) can support organisations in contributing to sustainable development. As a result of an expanding focus from customers towards stakeholders within QM, the perspectives to consider multiply. Understanding how practices and tools for process management are specifically affected by this increase in perspectives is key to creating the right conditions for improvement initiatives that support sustainable development.

This paper constructs a typology wherein the use of process management practices and tools is described in nine distinguished system contexts. Inductive discrimination is used to differentiate the system contexts and different use cases for process practices and tools.

Using the system of systems grid (SOSG), mainstream business process management (BPM) practices are positioned in a simple unitary context, whilst sustainability challenges also involve more complex contexts. Addressing these challenges requires integrating new tools and methods from paradigms outside of traditional functionalist business process management practices.

This paper highlights the necessity to consider system contexts when developing feasible practices and tools for effective process management.

Practical implications are that quality practitioners aiming to exploit the potential in process management to support sustainability get support for planning and conducting process improvement initiatives aiming to consider several stakeholder perspectives.

This paper presents a new typology for understanding the context of QM process initiatives and BPM in light of a contemporary sustainability focus.

This study aims to investigate the use of voluntary disclosure on mainstream social media platforms to examine strategic responses to the COVID-19 pandemic. It examines the influential factors and institutional pressures organisations faced when making disclosures on social media during the pandemic.

A two-stage qualitative approach was adopted. Stage one used content analysis to examine voluntary disclosures made by international organisations on social media during the emergence of the COVID-19 pandemic. Stage two comprised semi-structured interviews with individuals who were involved in the decision-making process around the social media disclosures.

This study’s findings reveal significant changes in disclosure practices due to COVID-19-related pressures. In addition to the utilisation of social media for signalling conformance with new pandemic-related norms and connecting with stakeholders, the evidence also reveals how organisations made use of strategic responses to COVID-19-related institutional pressures.

The findings reveal how social media was used as a means of timely voluntary disclosure during the examined crisis. The findings can inform the development of organisational guidelines and policies for the use of social media as a disclosure medium.

This study reveals how organisations used voluntary disclosure on social media as a strategic response to institutional pressures and the COVID-19 pandemic; this context is under-researched. The study also extends the application of the strategic response framework regarding voluntary disclosure via social media.

This chapter examines World War II and its impact on international and military law. It covers the war’s key crimes, the Nürnberg and Tokyo tribunals, and the creation of the United Nations, the Four Geneva Conventions of 1949, and the Genocide Convention of 1948.

This paper aims to evaluate how five Operation Soteria Bluestone (OSB) participating forces integrated principles of procedural justice and proactive disruption of offending into their investigations, specifically during the closing stages of a case when considering exit strategy and longer-term prevention.

A mixed-methods approach was taken, including 32 semi-structured interviews with officers and 59 case reviews of recent rape and serious sexual offences (RASSO). Data analysis methods included qualitative thematic analysis of interviews, while data from reviewed case logs was extracted and analysed using a bespoke case review tool.

Increased workloads, preparation of evidence and relational/communication difficulties with the crown prosecution service (CPS) were identified as barriers to implementing long-term disruption options. Dedicated resourcing, training and support are needed to promote suspect-focused investigative strategy and wider uptake of long-term disruption methods. Early investigative approach was also found to have “snowball” effects on suspect exit strategy, with initial lack of suspect focus and preoccupation with victim credibility, impeding consideration of long-term disruption and safeguarding options. Findings also point to a disparity between promising practice in relation to procedural justice for victims and (a relative lack of) proactive policing of repeat suspects.

The study represents a novel contribution to research on policing RASSO, illustrating the scale and nature of the obstacles to changing how these offences are investigated, even when under intense scrutiny from policy makers. It also highlights how increased organisational investment and support is linked to positive changes in practice in some forces.

Technology serves as a key catalyst in shaping society and the economy, significantly altering customer dynamics. Through a deep understanding of these evolving behaviors, a service can be tailored to address each customer's unique needs and personality. We introduce a strategy to integrate customer complaints with their personality traits, enabling responses that resonate with the customer’s unique personality.

We propose a strategy to incorporate customer complaints with their personality traits, enabling responses that reflect the customer’s unique personality. Our approach is twofold: firstly, we employ the customer complaints ontology (CCOntology) framework enforced with multi-class classification based on a machine learning algorithm, to classify complaints. Secondly, we leverage the personality measurement platform (PMP), powered by the big five personality model to predict customer’s personalities. We develop the framework for the Indonesian language by extracting tweets containing customer complaints directed towards Indonesia's three biggest e-commerce services.

By mapping customer complaints and their personality type, we can identify specific personality traits associated with customer dissatisfaction. Thus, personalizing how we offer the solution based on specific characteristics.

The research enriches the state-of-the-art personalizing service research based on captured customer behavior. Thus, our research fills the research gap in considering customer personalities. We provide comprehensive insights by aligning customer feedback with corresponding personality traits extracted from social media data. The result is a highly customized response mechanism attuned to individual customer preferences and requirements.

The slow adoption of unmanned aerial vehicles (UAVs) in the construction industry, particularly in developing countries like Nigeria, underscores the need for a deeper understanding of the critical factors influencing their adoption. This study aims to identify these factors using the Technology-Organization-Environment (TOE) framework and address uncertainties in their prioritization through Fuzzy Synthetic Evaluation (FSE). The utility of this approach lies in its ability to provide construction organizations with actionable insights to enhance operational efficiency and competitiveness through effective UAV adoption.

A post-positivist philosophical stance was adopted, wherein quantitative data were gathered from construction professionals in Nigeria via a questionnaire survey. The collected data were analyzed using the Cronbach alpha test as a measure of internal consistency and the FSE test to synthesize critical drivers for the adoption of UAVs.

The study found that drivers related to technology and organization are the most critical drivers. This implies that variables related to technology and organization warrant a higher level of focus if UAVs are to continue gaining popularity within the construction industry. Additionally, this study identified that logistic management, construction monitoring and site surveying represent the most critical areas of UAV application within the construction industry.

The emphasis on technology and organizational drivers as critical factors suggests that construction companies should prioritize investments in technology infrastructure and cultivate an organizational culture that embraces innovation. This may involve providing training to construction professionals to enhance their technological skills and fostering a leadership culture that champions technology adoption.

This study introduces novelty by applying the TOE framework, which has received limited attention in UAV adoption studies within construction. Additionally, the use of FSE addresses uncertainties in prioritizing critical drivers, particularly relevant in developing countries facing unique technological challenges. By assigning priority to these factors, this research lays the groundwork for a more informed and strategic approach to UAV adoption.

This chapter on animal ethics, animal rights, and animal welfare is a logical sequence to and ontological consequence of the arguments in earlier chapters. By respecting Mother Nature in all her ecosystems and biodiversity levels, especially by recognizing animal rights and their uniqueness, autonomy, and intrinsicality, we actively contribute to natural sustainability and animal welfare. Our anthropocentric economic models that are profoundly insensitive to the complex interdependencies between human and nonhuman behavior systems and their irreversible environmental challenges endanger both animal rights and global sustainability. Philosophically, we confront epistemological and anthropocentric structures that uncritically privilege humans disproportionately to nonhumans and unwittingly rationalize, moralize, and commodify meat production and consumption such that animal rights and welfare get seriously compromised. To achieve animal welfare, however, we need to seriously rescale Nature's hierarchies first by dethroning ourselves from self-appointed and self-serving, uncontested and critically unexamined presumed human superiority over the nonhuman world and restoring global equality of being an opportunity for all.

This paper aims to generate knowledge about relevant evaluation topics that align with and represent the unique character of the midwifery programme for students living in the rural and remote areas of Scotland.

The first two central concepts of Practical Participatory Evaluation (P-PE) framed the research design: the data production process and (2) the knowledge co-construction process. The data were collected using a semi-structured approach via online discussions, dialogues and email-based consultation among programme stakeholders. A structural analysis was performed: the units of meaning (what was said) were extracted, listed and quantified in units of significance (what the texts were talking about), from which the key topics for evaluation emerged.

A community of 36 stakeholdersengaged in the discussions, dialogues and consultations. The stakeholders identified 58 units of significance. Fifteen subthemes were constructed in five main themes: student profile, student well-being, E-pedagogy, student journey/transition from being a nurse to becoming a midwife and learning in (an online) geographically remote and isolated area. The themes, or topics of evaluation, are dynamic functions and underlying mechanisms of the commonly used evaluation measures student progress and student evaluation.

This P-PE is a single-site study, focusing on a unique programme consisting of a specific group of students living and studying a specific geographic area, affecting the transferability of the findings.

In collaboration with stakeholders, parameters to evaluate the uniqueness of the programme in addition to higher education institution routinely collected data on student progress and satisfaction were systematically identified. The themes highlight that if student progress and satisfaction were the only evaluation parameters, knowledge and understanding of the contributing factors to (un)successfulness of this unique online midwifery programme could be missed.

This study aims to empirically investigate solo travel behavior, comparing decision-making, destination choice, motivations, perceived experiences and constraints between the pre-pandemic and post-pandemic eras.

Using a mixed-methods approach, the study combines quantitative and qualitative data to enhance reliability and flexibility. An online survey attracted 250 respondents, providing demographic data and pandemic-related insights, complemented by eight in-depth interviews. Qualitative content analysis was used to extract key findings on motivations, constraints and destination choices.

The findings reveal that, pre-pandemic, independence and flexibility were key motivators for solo travel, with safety and budget as significant constraints. During the pandemic, half of the respondents continued solo travel, mainly within Europe, facing constraints related to destination choice and health concerns. Post-pandemic, solo travel interest resurged, emphasizing unchanged motivations but reduced concerns over companionship and planning. The study identifies a “traveling for revenge” trend post-pandemic, showcasing a desire to overcome constraints imposed during the pandemic.

The study contributes original insights into the nuanced changes in solo travel behavior due to the COVID-19 pandemic, offering a deeper understanding of solo travelers' evolving mindsets. It is one of the few studies to examine the pandemic's impact on solo traveling, providing short-term shifts in motivations and constraints with implications for the travel industry.