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Municipalities have the potential to become models of the circular economy (CE). This paper aims to examine the impact of the municipal council’s characteristics on municipal CE disclosure and promotion.

This paper is based on the resource dependence and upper echelons theories. For a sample of the 100 largest cities in Canada, a mixed methodology is used to code and analyze data and test the hypotheses.

Municipal councillors’ education and experience related to the environment or sustainability are both likely to affect CE disclosure, and their sector membership (public or private) moderates the relationship between CE disclosure and councillors’ experience. This experience may be reinforced by membership in the private sector, which has applied CE principles more extensively than the public sector has. Municipal councils with a greater number of councillors from the private sector appear to perform better in matters of transparency and to disclose more CE information on their public websites.

Municipalities could use the findings to foster their transition to CE by implementing a CE-related training plan for their councillors. A CE-dedicated section on their websites could improve transparency and inform and educate residents about CE.

The public sector could learn from the private sector’s best practices regarding CE.

This paper contributes to the literature by providing empirical evidence of the transparency and engagement of municipalities toward CE. The authors extend the resource dependence and upper echelons theories to a new context, that of public organizations.

Information Systems research on emotions in relation to using technology largely holds essentialist assumptions about emotions, focuses on negative emotions and treats technology as a token or as a black box, which hinders an in-depth understanding of distinctions in the emotional experience of using artificial intelligence (AI) technology in context. This research focuses on understanding employees' emotional experiences of using an AI chatbot as a specific type of AI system that learns from how it is used and is conversational, displaying a social presence to users. The research questions how and why employees experience emotions when using an AI chatbot, and how these emotions impact its use.

An interpretive case study approach and an inductive analysis were adopted for this study. Data were collected through interviews, documents review and observation of use.

The study found that employee appraisals of chatbots were influenced by the form and functional design of the AI chatbot technology and its organisational and social context, resulting in a wider repertoire of appraisals and multiple emotions. In addition to positive and negative emotions, users experienced connection emotions. The findings show that the existence of multiple emotions can encourage continued use of an AI chatbot.

This research extends information systems literature on emotions by focusing on the lived experiences of employees in their actual use of an AI chatbot, while considering its characteristics and its organisational and social context. The findings inform the emerging literature on AI.

This paper adds to the ongoing debate on judgements, opportunity evaluation and founder identity theory and shows that founders vary in their prioritisation and combination of judgement criteria, linked to their respective social founder identity. It further reveals how this variation among founder identity types shapes their perception of distinct entrepreneurial opportunities and the forming of first-person opportunity beliefs.

This study uses a qualitative approach by presenting three business scenarios to a sample of 34 first-time founders. It adopts a first-person perspective on their cognitive processes during the evaluation of entrepreneurial opportunities using verbal protocol and content analysis techniques.

The theorised model highlights the use of similar categories of judgement criteria by individual founders during opportunity evaluation that followed two distinct stages, namely search and validation. Yet, founders individualised their judgement process through the prioritisation of different judgement criteria.

The authors provide new insights into how individuals individuate entrepreneurial opportunities through the choice of different judgement criteria that enable them to develop opportunity confidence during opportunity evaluation. The study also shows that first-time founders depict variations in their cognitive frames that are based on their social identity types as they assess opportunity-related information and elicit variations in reciprocal relationships emerging between emotion and cognition. Exposing these subjective cognitive evaluative processes provides theoretical and practical implications that are discussed as well.

The purpose of this study is to build a proposal for an integrated analysis / evaluation / decision / implementation framework to suit entrepreneurial companies intending to redefine their strategic behaviours and their competitive schemes in the global environment.

A conceptual approach, based on theoretical perspectives relating to globalisation-based management and decision-making of entrepreneurs, is adopted.

The paper presents a conceptual framework useful for supporting entrepreneurial decisions for global strategies, drawing on an integrated analysis of external environment and internal components, with a specific focus on the entrepreneur's characteristics in terms of cognitive and emotional profiles. It is suggested to adopt a logical process aimed at identifying which strategic levers are available for entrepreneurial players to implement their strategies.

Entrepreneurial decision-making may benefit from an integrated framework which helps entrepreneurs, who aim to compete in the global marketplace, to explore and exploit all the key factors useful to defining their strategies.

There is a lack of decision-making frameworks that put the entrepreneur at the centre and, at the same time, present a potential balance between the external factors (globalisation drivers and local opportunities) and the resources and competences required to manage risks and difficulties of the global environment (internal factors). The originality of the proposed framework consists in filling this gap. Moreover, this framework can be useful for “re-born global” or “global-again” firms that are currently a neglected typology of studied firms.

The purpose of this paper is the better understanding of the increasing relation between big data 2.0 and neuromarketing, particularly to influence election outcomes, along with a special aim to discuss some raised doubts about Trump’s presidential campaign 2016 and its ability to hijack American political consumers’ minds, and to direct their votes.

This paper combines deductive/inductive methodology to define the term of political neuromarketing 2.0 through a brief literature review of related concepts of big data 2.0, virtual identity and neuromarketing. It then applies a single qualitative case study by presenting the history and causes of online voter microtargeting in the USA, and analyzing the political neuromarketing 2.0 mechanisms adopted by Trump’s political campaign team in the 2016 presidential election.

Based on Trump’s political marketing mechanisms analysis, the paper believes that big data 2.0 and neuromarketing techniques played an unusual role in reading political consumers’ minds and helping the controversial candidate to meet one of the most unexpected victories in the presidential elections. Nevertheless, this paper argues that the ethics of using political neuromarketing 2.0 to sell candidates and its negative impacts on the quality of democracy are and will continue to be a subject of ongoing debates.

The marriage of big data 2.0 and political neuromarketing is a new interdisciplinary field of inquiry. This paper provides a useful introduction and further explanations for why and how Trump’s campaign defied initial loss predictions and attained victory during this election.

The purpose of this paper is to examine the career shocks of Red Cross (RC) of Serbia staff and volunteers providing aid during the 2016 migrants’ influx. Specifically, the authors explore what the volatile environment in which RC staff and volunteers work can teach us about career shocks, and what makes a career shock for people whose everyday work entails stressful events.

This study examined a number of anecdotes that reflect the career shock construct to a greater or lesser extent. These anecdotes were developed by RC staff and volunteers as part of a communications training storytelling exercise.

The authors analyzed these events from the perspective of recent developments in career shocks research and examined whether the anecdotes contained elements that would enable us to differentiate between career shocks and stressors. Those anecdotes found to be the most prototypical of career shocks, as opposed to stressors, were found to instigate in-depth reflection about the career, were identity related, and had a tangible career impact. Shocking events in the eyes of RC people entailed work demands that go beyond expectations, excessive media scrutiny, and conflicting values. The authors discuss how organizational values, fostering person–organization fit, providing organizational and collegial support, and deploying “weathered” staff, could comprise the “vaccine” that makes the organization immune to career shocks.

By taking a data before theory approach to the study of career shocks, this paper provides a novel perspective on the lived experiences of RC people, and how such experiences may be classified into career shocks or stressors.

Recent research acknowledges entrepreneurial passion’s outcomes, but far less is known about how entrepreneurial passion comes about. In this study, the authors are interested in the emergence of entrepreneurial passion, and how competences and social network are associated with entrepreneurial passion. The paper aims to discuss these issues.

The authors investigate whether entrepreneurial passion emerges out of socialisation, entrepreneurial experience or various combinations thereof. The authors tested the hypotheses on a data set of entrepreneurs who started their businesses with government financial support (n=1150).

The findings show that within a social environment, perceived emotional support is positively associated with entrepreneurial passion. Moreover, entrepreneurs’ task-related competence moderates this relationship positively. By investigating the emergence of entrepreneurial passion, the authors contribute to prior passion literature, which has mainly focused on its consequences.

The findings demonstrate both how entrepreneurial passion is associated with and how perceived emotional support can stem from unexpected sources, such as from a government-based start-up grant. For entrepreneurs, an increased awareness of passion’s emergence could better encourage them in their entrepreneurial endeavours. To people who are engaged in promoting entrepreneurship, our findings emphasise the symbolic and emotional aspects of instruments intended to support entrepreneurship.

This study aims to explore how the boundary between science and society can be addressed to support the transformation of higher education towards sustainable development (HESD) in the sense of the whole institution approach. It analyses students’ learning experiences in self-led sustainability projects conducted outside formal curricula to highlight their potential contribution to HESD. The students’ projects are conceived as learning spaces in “sustainability-oriented ecologies of learning” (Wals, 2020) in which five learning dimensions can be examined.

Using an iterative, grounded-theory-inspired qualitative approach and sensitising concepts, 13 in-depth semi-structured interviews were conducted exploring students’ learning experiences. Interviews were categorised in MAXQDA and analysed against a literature review.

Results revealed that students’ experiences of non-formal learning in self-led projects triggered deep learning and change agency. Trust, social cohesion, empowerment and self-efficacy were both results and conditions of learning. Students’ learnings are classified according to higher education institutions’ (HEIs) sustainability agendas, providing systematised insights for HEIs regarding their accommodative, reformative or transformative (Sterling, 2021) path to sustainable development.

The education for sustainable development (ESD) debate focuses mainly on ESD competences in formal settings. Few studies explore students’ learnings where formal and non-formal learning meet. This article investigates a space where students interact with different actors from society while remaining rooted in their HEIs. When acting as “change agents” in this hybrid context, students can also become “boundary agents” helping their HEIs move the sustainability agenda forward towards a whole institution approach. Learning from students’ learnings is thus proposed as a lever for transformation.