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This article analyses the structure of hypertext and the world wide web through the contrasting metaphors of the network and the rhizome and applies that analysis to the epistemic challenge presented by fake news.

The paper is a critical and theoretical study of the development of concepts in information science. It outlines the limitations of the network metaphor and analyses the ways in which it has influenced both the development and critical understanding of the World Wide Web and its wider social and cultural consequences. The paper develops an alternative description of the ontological structure of the Web in terms of interrupted and dissipated energy flows.

The paper argues that the Web is better described as a dynamic reorganization of the socio-cultural system that has no determinate boundaries and which is constituted properly in the spaces between technologies and the spaces between persons.

The paper contributes to and extends research into the rhizomic nature of hypertext and the Word Wide Web and in understanding the role of metaphor in descriptions of hypertext and the web.

This chapter critically examines whether it may be possible to create an AI-based authentic leader, questioning the inherent contradiction between artificial and authentic. The authors pose central research questions: Does the application of AI – even just as a powerful resource – challenge the tenets of authentic leadership? What are the possibilities and limitations of the concept of authenticity in AI-based management systems? Moreover, with the help of three vignettes illustrating practical applications of AI-based systems in leadership and management tasks, the authors illustrate how technology may be used to either control or empower workers and leaders. The authors call for research to assess whether the search for authenticity in AI-based leadership could lead anywhere, warning that it could entrap us in unresolvable existential and conceptual ambiguity, ultimately diverting our focus from the essence of leadership altogether.

The “unplannable” is a welcomed exception to the formal order of urban planning. This opinion article explores some examples of informal urbanism and discusses its ambiguous relationship to public space and unplanned activities in the city. The informal sector offers important lessons about the adaptive use of space and its social role. The article examines the ways specific groups appropriate informal spaces and how this can add to a city’s entrepreneurship and success. The characteristics of informal, interstitial spaces within the contemporary city, and the numerous creative ways in which these temporarily used spaces are appropriated, challenge the prevalent critical discourse about our understanding of authorised public space, formal place-making and social order within the city in relation to these informal spaces.

The text discusses various cases from Chile, the US and China that illustrate the dilemma of the relationship between informality and public/private space today. One could say that informality is a deregulated self-help system that redefines relationships with the formal. Temporary or permanent spatial appropriation has behavioural, economic and cultural dimensions, and forms of the informalare not always immediately obvious: they are not mentioned in building codes and can often be subversive or unexpected, emerging in the grey area between legal and illegal activities.

This chapter offers a reflection in the form of a three-way dialogue, exploring how peer mentoring supports our aim to contribute to the delivery of two interconnected Sustainable Development Goals (SDGs): 3 (Health and well-being) and 11 (Sustainable cities and communities). These goals have been a constant in our practices (as heritage, public health and education professionals), and working together has been pivotal to achieving goals. The reflection is based on the collaborative experience of the three authors since 2016, recognizing how mentoring has shaped the different projects we have imagined and delivered together. Our reflection and experience engage with the notion of ‘authentic mentoring’, whereby we support each other and contribute to each other's gaps in knowledge and practice. This has occurred in a very informal and organic way, outside of more traditional definitions of mentoring, where a certain hierarchy of knowledge transmission is usually expected. This chapter narrates our collaborations across various projects and focuses on the most recent one, Outreach to Ownership (O2O) (2023), delivered for Historic England using Participatory Action Research (PAR) and Student as Partners (SaP) as our main philosophical and methodological frameworks. The O2O project allowed us to reflect on how we worked together and with our students. The students' role has evolved from peer mentors and mentees to authentic collaborators.

The growing importance of environmental, social and governance (ESG) issues, as well as related performance planning, measuring and reporting, has spurred interest in linking corporate sustainability and performance management systems (PMSs). In this context, the aim of this paper is to provide companies with a framework for implementing the requirements of the corporate sustainability reporting directive (CSRD) through a sustainability balanced scorecard (SBSC). The framework will further the integration of sustainability with corporate governance.

The framework was grounded in the relevant literature and the CSRD requirements.

This paper provides companies with a novel framework for implementing the requirements of the CSRD through a SBSC. The framework specifies four key steps (i.e. identifying material themes, initial assessment, strategic formulation and action, and sustainability reporting) to integrate sustainability with corporate governance.

The framework supports managers’ decision-making processes in linking sustainability with strategy and providing a basis for integrating sustainability with corporate governance in organizations. The paper provides a way to practically address the CSRD requirements.

This is the first study integrating the emerging CSRD requirements with corporate governance. The paper advances discussion and debate by management scholars on how a SBSC can be practically implemented, providing details on how this may be achieved.

This study aims to evaluate the issue of household food waste in Greece, with an emphasis on assessing the level of awareness and key behaviours among consumers. Moreover, the study focuses on examining consumer behaviours related to food waste and identifying distinct consumer profiles that can provide valuable insights into the issue in order to uncover unique behavioural factors and offer targeted interventions to curb food waste in the country.

A nationwide survey was conducted in Greece using a structured online questionnaire, which was sent to 1,270 participants, through the snowball technique. However, due to some incomplete responses, only 1,238 of the responses were considered suitable for analysis. Common descriptive statistics were used to sketch the respondents' profiles, and a non-hierarchical K-means cluster analysis was performed to identify distinct subgroups in the sample.

The study revealed a significant level of food waste awareness among Greek consumers. The cluster analysis identified four distinct consumer groups and substantial differences among them. Notably, sociodemographic analysis underscored a pronounced inclination towards food wastage among younger individuals. Additionally, each cluster's attributes, including their environmental awareness, shopping behaviours meal-planning tendencies and propensity for excess purchases, were examined. Consequently, this study underscored the imperative for targeted informational campaigns tailored for consumer segmentation, offering a pathway to identify prospective interventions conducive to the promotion of sustainable food-consumption practices.

The originality and value of this work lie in its unique focus on addressing the significant issue of household food waste within the context of Greece. What sets this study apart is the application of non-hierarchical K-means cluster analysis (which allowed the authors to identify distinct consumer profiles), a method not widely utilised in the Greek context. By filling this knowledge gap, this study offers crucial insights that can inform targeted interventions aimed at reducing food waste, in alignment with global sustainability initiatives such as the United Nations Agenda 2030 and the European Union's “Farm to Fork” strategy. Additionally, this study contributes to the efforts to provide innovative solutions to prevent household food waste and foster a sustainable future in an ever-changing international environment marked by various crises

The purpose of this research is to increase academic understanding of the relationship between systems' political identity and their viability, and to contribute to anarchist-cybernetics by examining the idea of organization proposed by Malatesta using Viable Systems. The research also develops the understanding of the relationship between Viable Systems and the environment.

The author developed a content analysis method that uses dynamic analysis, identifying how some variables affect others, and data is analysed using the Viable Systems Model. The author used Dynamic Causal Diagrams and the Viable System Model to draw conclusions and build theory. The author examined 137 documents produced by Errico Malatesta, studying in detail 39 documents containing the researched concepts.

The article identifies the literature, proposes an organizational theory for society and for cooperatives, strongly grounded in both, self-management and control. It presents a theory of self-management as a balancing effort to the control exercised by the external economic, political and societal forces of the environment. The literature also shows a form of organization that can be interpreted using the VSM framework. The ideas about self-management found in the literature, extend to economics, social theory, ethics, organizations, management and even operations management. The article finishes proposing a set of committees linked to the VSM structure, and successfully bridges anarchism and organizational cybernetics.

The article presents a novel method of systems analysis for the study of literature. It discovers the theory proposed by Malatesta not identified previously. Using the VSM framework, the ideas presented by the author, are translated into the organizational identity, and the operation of cooperatives. It makes an important contribution to anarchist-cybernetics.

The study examines how firms may transform big data analytics (BDA) into a sustainable competitive advantage and enhance business performance using BDA. Furthermore, this study identifies various resources and sub-capabilities that contribute to BDA capability.

Using classic grounded theory (GT), resource-based theory and dynamic capability (DC), the authors conducted interviews, which involved an exploratory inductive process. Through a continuous iterative process between the collection, analysis and comparison of data, themes and their relationships appeared. The literature was used as part of the data set in the later phases of data collection and analysis to identify how the study’s findings fit with the extant literature and enrich the emerging concepts and their relationships.

The data analysis led to developing a conceptual model of BDA capability that described how BDA contributes to firm performance through the mediated impact of organizational learning (OL). The findings indicate that BDA capability is incomplete in the absence of BDA capability dimensions and their sub-dimensions, and expected advancement will not be achieved.

The research offers insights on how BDA is converted into an enterprise-wide initiative, by extending the BDA capability model and describing the role of per dimension in constructing the capability. In addition, the paper provides managers with insights regarding the ways in which BDA capability continuously contributes to OL, fosters organizational knowledge and organizational abilities to sense, seize and reconfigure data and knowledge to grab digital opportunities in order to sustain competitive advantage.

This article is the first exploratory research using GT to identify how data-driven firms obtain and sustain BDA competitive advantage, beyond prior studies that employed mostly a hypothetico-deductive stance to investigate BDA capability. While the authors discovered various dimensions of BDA capability and identified several factors, some of the prior related studies showed some of the dimensions as formative factors (e.g. Lozada et al., 2019; Mikalef et al., 2019) and some other research depicted the different dimensions of BDA capability as reflective factors (e.g. Wamba and Akter, 2019; Ferraris et al., 2019). Thus, it was found necessary to correctly define different dimensions and their contributions, since formative and reflective models represent various approaches to achieving the capability. In this line, the authors used GT, as an exploratory method, to conceptualize BDA capability and the mechanism that it contributes to firm performance. This research introduces new capability dimensions that were not examined in prior research. The study also discusses how OL mediates the impact of BDA capability on firm performance, which is considered the hidden value of BDA capability.

The study’s objective is to measure the importance consumers attach to AI-based attributes, namely, chatbots, face recognition, virtual fitting room, smart parking and cashier-free station in retail stores. The study also examines the specific purpose of using these attributes for shopping.

A conjoint experiment was conducted using fractional factorial design. Consumers were given 14 profiles (AI attributes and its levels) to rank according to their visiting preferences.

The results revealed that the retail chatbot was considered the most important attribute, followed by face recognition, virtual fitting room, smart parking system and cashier-free station. Moreover, consumers prefer to use chatbots for in-store shopping assistance over alerts and updates, customer support and feedback. Similarly, consumers wish a face recognition facility for greetings while entering the store over other services. In addition, cluster analyses revealed that customer groups significantly differ in their preferences for AI-based attributes.

The study guides retail managers to invest in AI technologies to provide consumers with a technology-oriented shopping experience.

Our results provide an insight into the receptivity of AI technologies that consumers would like to experience in their favorite retail stores. The present study contributes to the literature by investigating consumer preferences for various AI technologies and their specific uses for shopping.