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Sustainability is increasingly at the forefront of the public debate in Europe and the world. However, despite this increased interest, research seems to have partially ignored the importance of its social dimension and the issues related to social equity, people care, protection and personal development at all stages of society and, consequently, of business. Accordingly, this paper aims at investigating the “soft” dimensions of sustainability, integrating its mainstream “technical storyline” with a “human/social storyline”.

In this paper a taxonomy of the main key drivers of the soft dimension of sustainability is proposed and tested on a sample of Italian companies. Through interviews with their managers, actions and needs in terms of sustainability soft drivers are identified.

The achieved results demonstrated that the case companies differently integrated the soft dimensions of sustainability within their companies. All the sample companies are aware of the role of social sustainability. According to the proposed taxonomy, the systemic drivers of soft sustainability are the main shared ones.

The paper provides new insights into the essence of the organizational soft dimensions and their centrality in the overall achievement of sustainability for companies. It also offers managerial insights into how to effectively manage these dimensions and policy implications about the need for clearer consideration.

The purpose of this manuscript is to highlight how gamification is transforming recruitment, retention and training to resolve employee engagement challenges in the ever-changing workplace. In collaborating with game industry experts and designers, the authors taught students team leadership skills by demonstrating how to design and play their own original cooperative strategy games. In doing so, students learn what gamification is and how it can be used to train our multigenerational workforce; how designing board games teaches team leadership skills (e.g. communication, conflict management, power, decision-making); and how to develop cooperative strategy game elements (player characters, roles and actions) that motivate engaging gameplay with successful learning outcomes.

In this paper, the authors discuss the practical implications of a three-phase semester-long experiential learning experience, where game design demonstrates to students how employees can work collaboratively together in teams. Students’ developed storylines (i.e. strategic objectives) including motivation challenges, social media communication breakdowns, sabotage, global sustainability and other real-world challenges. In Phase 1, students learn about how companies are using gamification in training high-performing teams. In Phase 2, students play a cooperative strategy game Forbidden Island with their student teams. In Phase 3, students design (and play) their original cooperative strategy game, instructions booklet and build a facilitation guide.

Approximately, 400 students developed 48 original cooperative strategy games that can be used to teach team leadership skills. These student teams designed cooperative strategy board games – in which the entire team either wins or loses based on their control of valued resources and player actions as key decision-making points. The data and feedback indicate that the learning experience helped them practically consider team interdependence in making effective decisions, and in creating creative self-efficacy, resilience and self-confidence in their own leadership voice. In this manuscript, the authors focus on providing an overview and implementation plan for our semester-long experiential learning exercise.

This experiential exercise was implemented from 2019 to 2023 in different learning modalities (face-to-face, hybrid, 100% synchronous online learning) and during challenging times (prepandemic, pandemic and postpandemic learning environments). These varying experiences provided them with a challenge to persevere and learn about their own interpersonal skills and resilience in a creative engaging way with limited resources. Students developed 26 original games during 100% synchronous remote learning due to COVID. To the best of the authors’ knowledge, no other business school is working with gaming industry experts and game designers to teach team leadership to this degree during pre- and postpandemic environments.

Embedded in built environment discourse, this chapter examines the traditional knowledge and resilience of the Ngadjuri Nation Peoples through an Elder’s narrative of reconciliation as well as resistance in their subsisting colonial settlement. Removed from ‘Country’ in the 1840s, Ngadjuri Aboriginal community endured colonial industries of open-cut copper mining and large-scale pastoralism as irreparable destruction to their cultural landscapes. European processes in the resources sectors reshaped natural topographies, deconstructing Ngadjuri Songlines and Ancestral Dreaming stories. Burra’s colonial stone buildings of settlement, painstakingly cut and composed from materials of the surrounding ecological terrain, prompted new narratives from Ngadjuri as a way of alleviating scars. Broadly speaking, this chapter aims to show how cultural heritage of two communities is provocatively and conceptually unpacked through the vernacular buildings’ cross-cultural foundations. That is, an under-reported narrative was unwittingly bestowed on the colonial-built forms with hidden meanings that deserve further investigation. This chapter offers a counternarrative to colonial histories revealing Ngadjuri’s methods for reconnecting to Country and culture after generations of disempowerment. It explores how within the materiality of colonial structures, the Ngadjuri entwined their remediated storylines – revealing a data curation that had avoided popular discourse in the galleries, libraries, archives, and museums [GLAM] sector representation. This example implies there are bodies of knowledge in built cultural heritage hidden elsewhere on our Aboriginal Nations and the challenges it presents GLAM in their Indigenisation processes.

This study aims to objectively synthesize the volume of accounting literature on financial statement fraud (FSF) using a systematic literature review research method (SLRRM). This paper analyzes the vast FSF literature based on inclusion and exclusion criteria. These criteria filter articles that are present in the accounting fraud domain and are published in peer-reviewed quality journals based on Australian Business Deans Council (ABDC) journal ranking. Lastly, a reverse search, analyzing the articles' abstracts, further narrows the search to 88 peer-reviewed articles. After examining these 88 articles, the results imply that the current literature is shifting from traditional statistical approaches towards computational methods, specifically machine learning (ML), for predicting and detecting FSF. This evolution of the literature is influenced by the impact of micro and macro variables on FSF and the inadequacy of audit procedures to detect red flags of fraud. The findings also concluded that A* peer-reviewed journals accepted articles that showed a complete picture of performance measures of computational techniques in their results. Therefore, this paper contributes to the literature by providing insights to researchers about why ML articles on fraud do not make it to top accounting journals and which computational techniques are the best algorithms for predicting and detecting FSF.

This paper chronicles the cluster of narratives surrounding the inadequacy of current accounting and auditing practices in preventing and detecting Financial Statement Fraud. The primary objective of this study is to objectively synthesize the volume of accounting literature on financial statement fraud. More specifically, this study will conduct a systematic literature review (SLR) to examine the evolution of financial statement fraud research and the emergence of new computational techniques to detect fraud in the accounting and finance literature.

The storyline of this study illustrates how the literature has evolved from conventional fraud detection mechanisms to computational techniques such as artificial intelligence (AI) and machine learning (ML). The findings also concluded that A* peer-reviewed journals accepted articles that showed a complete picture of performance measures of computational techniques in their results. Therefore, this paper contributes to the literature by providing insights to researchers about why ML articles on fraud do not make it to top accounting journals and which computational techniques are the best algorithms for predicting and detecting FSF.

This paper contributes to the literature by providing insights to researchers about why the evolution of accounting fraud literature from traditional statistical methods to machine learning algorithms in fraud detection and prediction.

Country and cultural heritage are inextricably linked for First Nations peoples. This chapter explores those relationships in the context of repatriating cultural heritage materials back to Country and conceptualising a place for its ‘awakening’ for the Ngadjuri community of Mid-North South Australia. These materials in the context of this book ‘interpreted’ as a form of data curation, requiring potentially unique information systems designs to achieve accessibility, recoverability, and durability in remote communities with limited internet and mobile phone coverage. On the other hand, it is critically important to note, that the processes, challenges and repatriation of culturally sensitive materials and remains, are dependant here on the limitations of language. The reference to the notion of ‘data’ as a descriptor, and an inadequate term on some level, does not, and is not intended to, diminish any of their cultural significance and gravity. These are challenges that are worth the intellectual and technological investment to realise a return to Country for generationally displaced peoples and their cultural property that also needs to make it home.

The purpose of this research is to examine the narratives of victims of abusive supervision. We explore the meaning or “lessons” victims derive from those experiences and how they shape the victims’ views of self, work and organization in relation to navigating their subsequent jobs.

We analyzed how appraisals of supervisory abuse transform victims’ narratives and their consequent work attitudes through sensemaking processes. Semi-structured interviews with the past victims of abusive supervision generated a four-stage model of how sensemaking shapes victims’ future work attitudes. Our interpretations were guided through narrative thematic analysis based on the constructionist approach.

Victims’ lessons learned are predominantly framed by their retrospective post-event appraisal of abuse (based on its severity) once individuals are no longer subject to abusive supervision. With greater distance from the abuse, victims can process the abuse and better understand the motivation of the abuser, enabling the process of causal attributions. These attributions further shape victims’ narratives and future work attitudes through a complex interplay of retrospective and prospective sensemaking mechanisms. The victims broadly reported proactive (with higher self-awareness and endurance) and reactive (self-protection, and emotional scars) lessons. A four-stage model was proposed based on our findings.

Abusive supervision remains a persistent issue experienced by many individuals at some point in their working life. However, little is known about how victims make sense of the event post-abuse and how this sense-making guides their future work behaviors. Understanding this phenomenon provides insight into how employees navigate through adversity and construct a more positive future. The contribution of this narrative inquiry is threefold. First, it explores how individual appraisals of supervisory abuse frame their (1) mechanisms of narrative construction; and (2) future work attitudes. Second, our findings demonstrate how narrative construction is a fluid process often informed by the process of retrospective and prospective sensemaking. Finally, our research suggests two broader categories of lessons that victims internalize and carry forward to their subsequent jobs.

This article aims to understand users' information needs in the metaverse communities and to analyze the similarities and differences between their information needs and those of users in Internet communities.

This study conducted semi-structured interviews with users in the metaverse communities to gather raw data. Grounded theory research methods were employed to code and analyze the collected interview data, resulting in the extraction of 40 initial concepts, 15 subcategories and 5 main categories. Based on Maslow’s hierarchy of needs theory, this paper constructs the hierarchical model of users' information needs in the metaverse communities. It compares the differences between users' information needs in the metaverse and Internet fields.

The user’s information needs in the metaverse communities are divided into two types: deficiency needs and growth needs. Deficiency needs have two levels. The first level is the demand for basic information resources. The second level is the users demand for information assistance. Growth needs have three levels. The first level is the need for information interactions. The second level is the need for community rules. The ownership information in the community rules can provide proof of user status, assets and so on. The third level is the need for users to contribute and share their own created information content.

This article presents the latest research data from in-depth interviews with users in the metaverse communities. It aims to help builders and managers of metaverse communities understand users' information needs and improve the design of virtual communities.

The Thai video game domain has witnessed substantial growth in recent years. However, many games enjoyed by Thai players are in foreign languages, with only a handful of titles translated/localized into the Thai locale. Some Thai video game enthusiasts have taken on the role of unofficial translators/localizers, contributing to a localization domain that accommodates both official and unofficial translation/localization efforts. This general review paper aims to outline the author's experiences in collecting data within the domain of video game translation/localization in Thailand.

Using a descriptive approach, this general review paper employs the netnography method. It sheds light on the complexities of video game translation/localization in Thailand and incorporates semi-structured interviews with a snowball sampling technique for the selection of participants and in-game data collection methods.

The netnography method has proved instrumental in navigating the intricacies of this evolving landscape. Adopting the netnography method for data collection in this research contributes to establishing more robust connections with the research sites. “Inside” professionals and individuals play a significant role in data gathering by recommending additional sources of information for the research.

While netnography is conventionally applied in the market and consumer research, this paper demonstrates its efficacy in unraveling the dynamics of video game translation/localization in Thailand.

In order to better optimize the internal management system of book publishing and to cope with the changes in the external market environment, the purpose of this paper is to carry out cross-border publishing with the help of a transmedia storytelling model to realize the transformation and upgrading of the industry. Focusing on the relationship between the book publishing transmedia storytelling model and business performance, the moderating effect of the innovation environment on different variables is assessed.

This paper proposes several feasible hypotheses based on existing research. The research data came from 365 managers of Chinese book publishing organizations, and the scale was validated by Cronbach’s a, composite reliability (CR) and average variance extracted (AVE). Reliability and validity were verified, and correlation and regression analyses were used to test the impact of the book publishing transmedia storytelling model on business performance and to analyze the moderating role of the innovation environment.

The results show that the book publishing transmedia storytelling model (content production, technology integration, organizational innovation, marketing integration) helps to improve business performance (market performance, financial performance), and the innovation environment has a positive moderating effect on the relationship between the book publishing transmedia storytelling model and business performance, which provides a guarantee for the transformation and upgrading of book publishing. The market information reflected in the innovation environment has a certain role in promoting the innovation and business performance of the book publishing transmedia storytelling model.

The empirical evidence provides a theoretical link between the book publishing transmedia storytelling model and business performance, but there are still some shortcomings, and more factors, such as equity structure, government subsidies and research and development investment, should be included in future research. In addition, the scope of the research should be broadened on this basis to make the results of the data analysis more objective.

This paper introduces the transmedia storytelling model and deeply analyzes the relationship between the book publishing transmedia storytelling model and business performance, which is of great practical significance for optimizing the application and service quality of book publishing, prolonging the industrial chain, enhancing the interaction and participation of users and perfecting the business management system of the book publishing industry.

The application and research of the book publishing transmedia storytelling model are imperfect. Therefore, this paper not only helps to promote the innovation of book publishing organizational structure and improve the management system of business performance, but also may help to improve the innovation environment of book publishing enterprises and promote the diversification of industrial structure.

This chapter explores creative drawing mediums in research practice and education, through speculative drawing methods, and the use of temporal mediums such as film, animation, and augmented reality [AR] to move outside entrenched perspectives of communicating towards more inclusive storytelling narratives. Architectural representation mediums provide means of conveying rich layers of information, having evolved through cultural influences and technologies with their origins in Western world views. However, these methods of drawing are limited in how they convey multiple and diverse views or social understandings, ultimately delivering static representations. The student and staff approaches discussed in this chapter demonstrate approaches that recalibrate from a singular, designer-led perspective to one that is multivalent, considering and engaging other stakeholders in the negotiations and conversations of the spaces in our built environments. Through making architectural communication more accessible and inclusive of diverse audiences and voices, alternative world views can be both enabled and facilitated.