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Advances in artificial intelligence (AI) natural language processing may see the emergence of algorithmic word of mouth (aWOM), content created and shared by automated tools. As AI tools improve, aWOM will increase in volume and sophistication, displacing eWOM as an influence on customer decision-making. The purpose of this paper is to provide an overview of the socio technological trends that have encouraged the evolution of informal infulence strategies from WOM to aWOM.

This paper examines the origins and path of development of influential customer communications from word of mouth (WOM) to electronic word of mouth (eWOM) and the emerging trend of aWOM. The growth of aWOM is theorized as a result of new developments in AI natural language processing tools along with autonomous distribution systems in the form of software robots and virtual assistants.

aWOM may become a dominant source of information for tourists, as it can support multimodal delivery of useful contextual information. Individuals, organizations and social media platforms will have to ensure that aWOM is developed and deployed responsibly and ethically.

aWOM may emerge as the dominant source of information for tourist decision-making, displacing WOM or eWOM. aWOM may also impact online opinion leaders, as they may be challenged by algorithmically generated content. aWOM tools may also generate content using sensors on personal devices, creating privacy and information security concerns if users did not give permission for such activities.

This paper is the first to theorize the emergence of aWOM as autonomous AI communication within the framework of unpaid influence or WOM. As customer engagement will increasingly occur in algorithmic environments that comprise person–machine interactions, aWOM will influence future tourism research and practice.

While the area of project management maturity (PMM) is attracting an increased amount of research attention, the approaches to measuring maturity fit within existing social science conventions. This paper aims to examine the potential contribution of new data collection and analytical approaches to develop new insights in PMM.

This paper takes the form of a literature review.

The current trends of rapidly growing digital data collection and storage may have the potential to develop approaches to PMM assessment that overcome the limitations of existing qualitative and quantitative approaches.

Future research in PMM can employ techniques such as social network analysis and text analysis to develop insights based on the flow and content of information in organizations.

Adoption of data analytical approaches from big data can enable the creation of new types of holistic and adaptive maturity models. Holistic maturity models provide insights based on both structured and unstructured data within organizations. Adaptive maturity models provide rapid insights based on the flow of information within an enterprise.

The recent trend towards digitising of organizational knowledge and interactions has created the possibility to apply new analytical approaches and techniques to the understanding of PMM in firms. This paper identifies possible tools and approaches that can be applied to create new types of maturity models based on structured and unstructured data.

The aim of the research was to gather information about Indigenous and non-Indigenous students’ classroom experiences. This chapter examines what made the classroom environment in this course, Balancing Worldviews, different to other classroom experiences. It was also undertaken for students to provide their standpoints on how safe classroom environments are created for students and lecturers to share their views and perspectives.

The study employed a Collaborative Community Participatory Action Research (CCPAR) model. The praxis and sequencing of action requires practical, reflective engagement focused upon solution development, as identified by the collaborative community (Indigenous and non-Indigenous students). Qualitative data was collated via focus groups and individual in-depth interviews with students.

We learnt through the research Classroom experiences of Indigenous and non-Indigenous students: Building safe engagement by sharing stories that demonstrated a particular theme and situations of the week; the stories were about family, political issues, working experiences. These stories supported student learning and transformed the learning space into a place that was safe for students to share their experiences. This way of learning was acknowledged as personal, non-hierarchical and relational, establishing connections between the learner and sharer of the story.

This research focused on how students’ experience of safety shaped the nature and level of their engagement and their ability to provide peer support. The stories shared by students are indicative of the necessity of growing safer classrooms. The emphasis was on story-telling and knowledge sharing, which is circular and takes time to develop within a group. The focus group discussions established a number of themes that were taken up and explored further in the in-depth interviews.

We believe this research interaction is vital in cultivating an effective progressive evaluation process incorporating students' input (knowledge, experiences and voices), rather than through the systemic university model of student survey that demands a limited response. With the findings of the research we hope to share these experiences with our peers.

Training in research ethics in higher education institutions tends to be increasingly focussed on operational instruction and how to navigate review processes. This has largely come about as a result of the gradual extension of the ‘medical model’ of prospective ethics review to all research involving human participants over the last few decades. Often devolved to an administrator, the purpose of instruction in research ethics is sometimes reduced to form-filling techniques. While this may serve to facilitate researchers’ compliance with ‘auditable’ regulatory requirements, and to reassure risk-averse universities that they can demonstrate rigorous oversight, it does nothing to skill researchers in assessing the ethical implications of their own research. Mastering the skills to address and mitigate the moral dilemmas that can emerge during a research project involves more than having a pre-determined set of options for research practice. Changing their perception means enabling researchers to view themselves as ethical practitioners within a broader community of researchers. In this chapter we discuss the implementation of a university training programme that has been designed to improve both the moral character, and thus the moral competence of researchers. Using a virtue ethics approach, we employed case studies and discussion, backed up by provision of individualised advice, to help researchers to consider the moral implications of research and to improve their moral decision-making skills. Attendees reported greater engagement with the issues and increased confidence in facing ethical dilemmas in their own research.

This chapter provides an analysis of images produced and employed in protests against surveillance in Germany in 2008 and 2009. For this purpose, a method of visual analysis is developed that draws mainly on semiotics and art history. Following this method, the contribution examines a selection of images (pictures and graphic design) from the anti-surveillance protests in three steps: description of components, detection of conventional signs, and contextual analysis. Furthermore, the analysis compares the images of the two major currents of the protest (liberal and radical left) in order to elucidate the context in which images are created and used. The analysis shows that images do not merely illustrate existing political messages but contribute to movements’ systems of meaning creation and transportation. The two currents in the protests communicate their point of view through the images both strategically and expressively. The images play a crucial role in formulating groups’ different strategies as well as worldviews and identities. In addition, the analysis shows that the meaning of images is contested and contextual. Images are produced and received in specific national as well as issue contexts. Future research should address the issue of context and reception in greater depth in order to further explore the effects of visual language on mobilization. Overall, the contribution demonstrates that systematic visual analysis allows our understanding of social movements’ aims, strategy, and collective identity to be deepened. In addition, visual analysis may provide activists with a tool to critically assess their visual communication.

The Maturity Matrix is a tool designed in the UK to assess family practice organisational development and to stimulate quality improvement. It is practice‐led, formative and undertaken by a practice team with the help of trained facilitators. The aim of this study is to assess the Maturity Matrix as a tool and an organisational development measure in European family practice settings.

Using a convenience sample of 153 practices and 11 facilitators based in the UK, Germany, The Netherlands, Switzerland and Slovenia, feasibility was assessed against six criteria: completion; coverage; distribution; scaling; translation; and missing data. Information sources were responses to evaluation questionnaires by facilitators and completed Maturity Matrix profiles.

All practices taking part completed the Maturity Matrix sessions successfully. The Netherlands, the UK and Germany site staff suggested including additional dimensions: interface between primary and secondary care; access; and management of expendable materials. Maturity Matrix scores were normally distributed in each country. Scaling properties, translation and missing data suggested that the following dimensions are most robust across the participating countries: clinical performance audit; prescribing; meetings; and continuing professional development. Practice size did not make a significant difference to the Maturity Matrix profile scores.

The study suggests that the Maturity Matrix is a feasible and valuable tool, helping practices to review organisational development as it relates to healthcare quality. Future research should focus on developing dimensions that are generic across European primary care settings.