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The purpose of this study to shed light on the importance of social media hosted content related to socially-motivated discussions. Moving from the field of communication for development, the research leverages social media as a powerful tool for collecting and analyse peer-to-peer communication towards the conceptualization of eVoices of Unheard. The deep understanding of these conversation can generate recommendations for organizations and governments designing and providing interventions fostering local socio-economic development.

The study presents a large-scale analysis of social media interactions on the topic “#favela” to generate insights into a social network structure, narrative contents and meaning generated.

Structurally, the analysed networks are comparable with those presented in current academic literature; automatic text analysis confirmed the promise of the inner value of communication for development opening the floor to conceptualization of the “eVoices of unheard”, which is the collective and conscious use of social media to mediate community discussions about tangible and intangible issues related to socio-economic development.

Framed within the rise of interactive communication for development this research show that social media an support the notion of voice proposed by Couldry (2010) moving from process (i.e. the recording of the voice) towards value (i.e. the possibility of giving an account of one’s life and its conditions to have an impact on human life and resources) thereby understanding intangible issues related with socio-economic development.

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.

The aim of this study is to examine the configuration of project resources in organizations operating in a post-conflict country environment using a Resource-Based View (RBV) perspective.

Data collection was undertaken using a quantitative survey study of Non-Governmental Organizations (NGOs) involved in development projects in Sri Lanka, which obtained 445 responses. An Exploratory Factor Analysis and subsequent Confirmatory Factor Analysis were performed to identify and confirm the Project Management (PM) resource profile composition of these organizations.

The study identified resource profiles incorporated items at the team, organizational and collaborative social resource levels and did not differ significantly by organization type. This suggests that the current focus of PM RBV research that implicitly uses a competitive advantage derived framework may need to be adapted for contexts such as post-conflict environments.

For organizations seeking to deliver projects in developing countries, the findings indicate that relational capacity in the form of a collaborative social resource may be required to adapt team and organizational resources to post-conflict environments.

The lessons learnt from NGOs can be of value to other organisations seeking to operate in post-conflict environments. The findings from this research reveal that organizations in Sri Lanka establish resource profiles that meet domestic and external requirements. For the management of these organizations, recognition of the inherent contradictions of this strategy can enable the optimization of resource profiles, improving organizational efficiencies.

The study has used insights from NGOs involved in international and local development projects to extend current knowledge of PM resources. While NGOs are distinctive, the critical PM resources identified here may be of value to private and public organizations seeking to develop project resource profiles adapted to emerging markets.

The purpose of this paper is to explores the influence of socialization upon the constitution and integration of learning leading to the development of entrepreneurial competence while at university, from the learner perspective. Self-reported learning is analyzed to illustrate ways in which students make use of institutional and social contributions of the university context.

The study investigates entrepreneurial journeys of 18 participants, either currently attending or recently graduated from three universities in three countries with both comparable and distinctive contextual elements. In depth analysis of individual life stories, focusing on self-identified critical incidents, is used to illustrate ways in which students, while at university, develop entrepreneurial competence for current and future practice.

Formal and non-formal learning remain important foundations for entrepreneurial competence development, delivered through designed content-centric structures. Informal learning – particularly mentor supported socialised learning – centring around the learner is key to solidifying learning towards entrepreneurial competence, through know-how and access to resources. The university emerges as an entrepreneurial learning space where students constitute and integrate learning gained through different forms.

Cross-cultural analysis is limited as the paper emphasizes the individual’s learning experience relative to the immediate university context.

Universities play a critical role as entrepreneurial learning spaces beyond formal and non-formal learning. This includes dedicating resources to orchestrate informal learning opportunities and enabling interaction with the different agents that contribute to socialised situated learning, supporting entrepreneurial competence development. Universities need to take responsibility for facilitating the entirety of learning.

Socialised learning in combination with other forms of learning contributes to student development of entrepreneurial competence while situated in the university context.

The purpose of this paper is to understand and identify the nature of evaluation criteria, levels and associations among levels of project success in development projects by NGOs in Sri Lanka.

The setting for this study is Sri Lanka, a country currently recovering from civil war and natural disasters and host to a large number of national and international NGOs involved in development projects. Data collection was conducted using a quantitative survey which obtained 447 responses. Multivariate analysis of data was conducted using confirmatory factor analysis and structural equation modelling.

The study confirmed that overall project success in NGOs could be assessed in three levels: project management (PM) success, project success and NGO success. The results conclude that there are strong associations among the three levels of project success; moreover, PM success and project success are indispensable for achieving NGO success.

This study extends existing research to confirm the presence of the three levels of project success and the interconnections among them. These findings can support subsequent research on development projects and also support the design of holistic evaluation tools to support project practices in NGOs.

Aim of the present monograph is the economic analysis of the role of MNEs regarding globalisation and digital economy and in parallel there is a reference and examination of some legal aspects concerning MNEs, cyberspace and e‐commerce as the means of expression of the digital economy. The whole effort of the author is focused on the examination of various aspects of MNEs and their impact upon globalisation and vice versa and how and if we are moving towards a global digital economy.

A distinction must be drawn between a dismissal on the one hand, and on the other a repudiation of a contract of employment as a result of a breach of a fundamental term of that contract. When such a repudiation has been accepted by the innocent party then a termination of employment takes place. Such termination does not constitute dismissal (see London v. James Laidlaw & Sons Ltd (1974) IRLR 136 and Gannon v. J. C. Firth (1976) IRLR 415 EAT).

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.