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In this paper, the authors explore racialisation through human-centric counter-accounts (counter-stories) to bring together critical race theory (CRT) and counter-accounting.

The authors utilise CRT to demonstrate the emancipatory role of counter-stories in (re)telling racialized narratives, specifically the narrative of asylum seekers who arrive by sea and are subjected to the inhumane and oppressive nature of the Australian government's policy of offshore immigration detention.

Counter-stories, as tools of accountability, can make visible oppressive forces and the hidden practices of racialized social practices and norms.

This paper emphasises that we are not in a post-racial world, and racialisation remains a fundamental challenge. We must continue to refute race as an ontological truth and strive to provide a platform for counter-stories that can spark or drive social change. This requires allies, including academics, to give that platform, support their plight, and offer avenues for change.

The authors introduce CRT as a theoretical tool for examining racialisation, opening space for a more critical confluence of accounting and race with potentially wide-reaching implications for our discipline. The paper also contributes to the limited accounting literature concerning asylum seekers, particularly in the use of counter-stories that offer a way of refuting, or challenging, the majoritarian/dominant narratives around asylum-seeking.

This study aims to analyze the impact of Artificial Intelligence (AI) and Machine Learning (ML) on heritage conservation and preservation, and to identify relevant future research trends, by applying scientometrics.

A total of 1,646 articles, published between 1985 and 2021, concerning research on the application of ML and AI in cultural heritage were collected from the Scopus database and analyzed using bibliometric methodologies.

The findings of this study have shown that although there is a very important increase in academic literature in relation to AI and ML, publications that specifically deal with these issues in relation to cultural heritage and its conservation and preservation are significantly limited.

This study enriches the academic outline by highlighting the limited literature in this context and therefore the need to advance the study of AI and ML as key elements that support heritage researchers and practitioners in conservation and preservation work.

This study is motivated to provide a theoretically informed, data-driven assessment of the consequences associated with the participation of non-human bots in social accountability movements; specifically, the anti-inequality/anti-corporate #OccupyWallStreet conversation stream on Twitter.

A latent Dirichlet allocation (LDA) topic modeling approach as well as XGBoost machine learning algorithms are applied to a dataset of 9.2 million #OccupyWallStreet tweets in order to analyze not only how the speech patterns of bots differ from other participants but also how bot participation impacts the trajectory of the aggregate social accountability conversation stream. The authors consider two research questions: (1) do bots speak differently than non-bots and (2) does bot participation influence the conversation stream.

The results indicate that bots do speak differently than non-bots and that bots exert both weak form and strong form influence. Bots also steadily become more prevalent. At the same time, the results show that bots also learn from and adapt their speaking patterns to emphasize the topics that are important to non-bots and that non-bots continue to speak about their initial topics.

These findings help improve understanding of the consequences of bot participation within social media-based democratic dialogic processes. The analyses also raise important questions about the increasing importance of apparently nonhuman actors within different spheres of social life.

The current study is the first, to the authors’ knowledge, that uses a theoretically informed Big Data approach to simultaneously consider the micro details and aggregate consequences of bot participation within social media-based dialogic social accountability processes.

Strengths-based coaching has emerged in past decades as an asset-based approach that can help individuals identify, harness, and leverage their strengths to achieve professional and personal goals. This paper shares the design and outcomes of a year-long strengths-based coaching program to support leadership development within the context of one university’s women’s leadership initiative.

Program outcomes and changes in participants’ perceived confidence in identifying and applying their strengths in different contexts were evaluated through an online survey using a Likert-based REDCap survey tool after participation in the program. Findings strongly suggest that most participants lacked the self-confidence and/or self-awareness to recognize their own strengths in a granular way prior to the program. Themes that emerged in the survey findings point to the following program outcomes: participants gained an increased ability to identify and value one’s own leadership strengths, an increased ability to recognize and value the strengths of others, and a supportive community of women leaders to share experiences and reflect on the application of their strengths as part of their leadership journey.

Further studies are needed to understand and measure how a program such as this can impact one’s leader identity, self-awareness, and self-confidence. Given the critical need for women’s leadership opportunities, this program shows promise as a means to strengthen women’s leadership across career stages and disciplines.

The emerging fields of positive psychology and positive organizational scholarship (POS) contribute new perspectives and approaches for leadership education and leadership development in higher education. While there are emerging empirical studies in these new fields, little connection has been made to the intellectual and practical applications for undergraduate leadership education. In this paper, the authors make a case for the intersection of leadership and positive organizational scholarship in the context of an academic course that combines theory-to-practice using a project-based learning approach. Student learning gains in this course are reported through a pre-post assessment of student’s competency and personal levels of well-being.

This paper aims to find out if there is a relationship between access to climate change information and student activism.

Exploratory study focused on the survey of 400 [n = 400] students from 10 universities in Spain from April to May 2022. A questionnaire with 19 questions was divided into blocks of knowledge, awareness, and action and bivariate analysis with a margin of error of ±5% and a confidence level of 95%.

The greater the degree of information received, the greater the activism of university students, who tend to use digital media and social networks to get informed. However, they perceive that the university generates little information and a low number of activities related to climate change. Students demand that universities implement informal, formal, and service-learning environmental education strategies on sustainable consumption.

Given the results of previous studies showing the variable “type of degree” does not show differences at the beginning and end of studies, it has not been considered in this research. Nevertheless, it would be convenient to introduce it in future investigations to confirm if this may have an impact on informational habits.

This paper urges universities to act as sources of environmental education, given the relationship between the information received and the pro-environmental attitudes of students.

The universities are powerful social actors that can shape public and political discourses for eco-social transition.

This research adds the variable access to information in studies on pro-environmental attitudes. Furthermore, this research provides data about student perceptions of the university, government, industry, and NGO climate actions.

Multinational enterprises (MNEs) are increasingly compelled to consider the United Nation’s sustainable development goals (SDGs). These goals are complex and may cause internal goal conflicts for companies. To stay the course, MNEs will benefit from an ethical compass enabling them to take on leading roles in driving change towards a better future. We argue that ethical leadership in this new business landscape is bolstered by virtue ethics. MNEs with genuine ethical groundings will be equipped to make decisions in complex situations where the needs of a variety of stakeholders must be considered. The purpose of this chapter is to conceptually and empirically explore an MNE’s implementation of a particular SDG, through an ethical leadership lens. We contribute to international management and international business literature by offering a framework to analyse MNEs’ pursuit of SDGs.

The quality of organizational leadership can have a significant impact on organizational success and employee well-being. Some research has shown that leaders with secure attachment styles are more effective leaders, but the connection between different attachment styles and different leadership styles is unclear. Relationships between attachment styles and leadership styles were examined in this study. University personnel completed the Relationship Questionnaire and the Multifactor Leadership Questionnaire. Pearson correlation and multiple regression analyses revealed positive correlations between transformational leadership and secure attachment and negative relationships between transformational leadership and insecure attachment styles. Results of this study may help leaders recognize the relationship between their attachment style and their ability to increase organizational effectiveness and to decrease turnover.

While digital technologies have led to many important social and cultural advances worldwide, they also facilitate the perpetration of violence, abuse and harassment, known as technology-facilitated violence and abuse (TFVA). TFVA includes a spectrum of behaviors perpetrated online, offline, and through a range of technologies, including artificial intelligence, livestreaming, GPS tracking, and social media. This chapter provides an overview of TFVA, including a brief snapshot of existing quantitative and qualitative research relating to various forms of TFVA. It then discusses the aims and contributions of this book as a whole, before outlining five overarching themes arising from the contributions. The chapter concludes by mapping out the structure of the book.

This paper aims to identify specific challenges and opportunities when crafting literature reviews of qualitative accounting research. In addition, it offers potential remedies to frequent challenges when conducting such reviews.

This piece is based on recent methodological advice on conducting literature reviews and my own experience when conducting and publishing reviews that primarily cover qualitative accounting research.

The author chart three typical advantages and three typical use cases of literature reviews of qualitative accounting research, as well as the typical process steps and outputs of such reviews. Along with these process steps, The author identifies three overarching specific challenges when conducting such reviews and discusses potential remedies. Overall, this paper suggests that literature reviews of qualitative accounting research feature idiosyncratic challenges but offer specific opportunities at the same time.

To the best of the authors’ knowledge, this paper is among the first to offer advice on the specific challenges and opportunities when conducting literature reviews of qualitative accounting research.