Search results

This paper aims to investigate how embedding accounting techniques of cost and budgeting within the Australian National Disability Insurance Scheme (NDIS) potentially perpetuates colonial practices for Australian First Nations people living in remote areas. Further, the paper aims to explore how accounting might help to integrate the unique modes of accountability First Nations people have over disability care into the NDIS funding system. Ultimately, the aim is to discern whether accounting practices can be mobilised as a means to decolonising the NDIS framework.

This study uses a qualitative methodology to analyse public hearings from the Australian Disability Royal Commission. Drawing on Bhabha's (1994) concept of the “third space”, this study investigates how accounting techniques can be used to potentially decolonise the NDIS. This study also borrows Bhabha's (1994) concept of the third space to explore the potential for decolonising the NDIS through accounting techniques.

Findings show that the accounting techniques pertaining to funding and costs embedded within the NDIS contribute to displacing and disconnecting First Nations people from their cultural practices and ways of life. Further, the analysis reveals that the NDIS funding system could help to decolonise the NDIS space if it were modified to incorporate First Nations' perspectives on accountability for disability care.

The case of the NDIS exposes glimpses of colonisation in contemporary Australia, where Western institutional and economic systems dominate over the structure and authority of the practice. In this paper, this study demonstrates that the accounting system used by the NDIS plays a role in marginalising First Nations people. However, accounting, as a technology of negotiation, could also be mobilised to enhance accountability for disability care outcomes and pave the way for decolonising public policies.

The employment rate of autistic people is low, and they are often employed in low-paying jobs or in jobs involving tasks that fall short of their skills and competence. To address this situation, the individual placement and support method (IPS) offers promising perspectives for personalized and long-term support measures. This evidence-based method has produced positive results in several countries. IPS has been used in France only since 2016. This paper aims to examine the experience of autistic people in France who have benefitted from supported employment measures.

Nineteen autistic adults in France took part in semistructured interviews. Interview questions focused on work and measures to support employment. The authors analysed the interviews using reflexive thematic analysis, within the paradigm of critical realism. The authors adopted a participatory approach; the project was led by an autistic researcher and autistic individuals were included at all stages.

This study identified six primary themes and three subthemes across the data: (1) The uphill battle to obtain adjustments in the workplace; (2) insufficient knowledge of autism; (2.1) explaining again and again: the educative burden; (3) the challenge of making oneself heard; (3.1) when the entourage steps in; (4) support measures as material assistance and reassurance; (4.1) between benevolence and condescension; (5) organizational factors that affect the quality of support; and (6) personal and professional life are closely intertwined.

This research provides a better understanding of how autistic people experience supported employment in France and highlights ways to improve it. Job coaches play a crucial role in offering practical help and reassurance, and their efforts to nurture an active personal life are perceived positively. However, supported employment also carries the risk of limiting autistic individuals' capacity for action and causing several difficulties if job coaches are not well-informed about autism, do not reflect on their own attitudes, do not assist in obtaining necessary accommodations and if there are organizational problems leading to a lack of resources.

Several African American educators served as an inspiration in the development and scholarship of an African American female who teaches at a Predominantly White Institution (PWI) of higher learning. This chapter shares the author's foundational beginnings and persistence in academe while teaching and leading in a race-conscious society. She shares some of her upbringing, education, and early teaching experiences. She also shares her motivation to learn and serve (Bethune, 1950, 1963), while walking in circles. Sizemore (1973, 2008) to provide a roadmap of her journey to support new and developing African American female professors. She uses poetry and the dimensions of African American culture (Boykin, 1983) to guide her sharing. The author uses her exploration of identity development as an African American womanist who advocates as an African American first, to share how she has developed as a scholar whose renewal of purpose targets becoming a full professor.

This paper seeks to deepen and improve our understanding of business ethics in services by developing a typology that reconciles and integrates disparate and often conflicting ideas and viewpoints while providing practical guidance for ethical decision-making.

The paper examines current theoretical approaches in ethics to provide an understanding of the ethical theories, how they have been applied and how they have evolved in businesses and marketing. It discusses conceptual issues related to ethical dilemmas and the available typologies.

Based on the axioms of the Triple-A Framework for Ethical Service Research, the Typology of Ethical Dilemmas in Services (TEDS) is proposed. The typology identifies three types of dilemmas based on four dimensions considering all service interactions guided by normative ethics (virtue, deontological and consequentialism).

The proposed DILEMMAS process illustrates the practical application of TEDS.

This paper extends the ethics and services literature by offering a novel theoretical and practical approach to addressing ethical dilemmas. TEDS is authentic, advances our knowledge and applies to all service organizations that aim to manage ethical dilemmas effectively.

This study develops a computational method to investigate the predominant language styles in political discussions on Twitter and their connections with users' online characteristics.

This study gathers a large Twitter dataset comprising political discussions across various topics from general users. It utilizes an unsupervised machine learning algorithm with pre-defined language features to detect language styles in political discussions on Twitter. Furthermore, it employs a multinomial model to explore the relationships between language styles and users' online characteristics.

Through the analysis of over 700,000 political tweets, this study identifies six language styles: mobilizing, self-expressive, argumentative, narrative, analytic and informational. Furthermore, by investigating the covariation between language styles and users' online characteristics, such as social connections, expressive desires and gender, this study reveals a preference for an informational style and an aversion to an argumentative style in political discussions. It also uncovers gender differences in language styles, with women being more likely to belong to the mobilizing group but less likely to belong to the analytic and informational groups.

This study provides insights into the psychological mechanisms and social statuses of users who adopt particular language styles. It assists political communicators in understanding their audience and tailoring their language to suit specific contexts and communication objectives.

This study reveals gender differences in language styles, suggesting that women may have a heightened desire for social support in political discussions. It highlights that traditional gender disparities in politics might persist in online public spaces.

This study develops a computational methodology by combining cluster analysis with pre-defined linguistic features to categorize language styles. This approach integrates statistical algorithms with communication and linguistic theories, providing researchers with an unsupervised method for analyzing textual data. It focuses on detecting language styles rather than topics or themes in the text, complementing widely used text classification methods such as topic modeling. Additionally, this study explores the associations between language styles and the online characteristics of social media users in a political context.

The human-following task is a fundamental function in human–robot collaboration. It requires a robot to recognize and locate a target person, plan a path and avoid obstacles. To enhance the applicability of the human-following task in various scenarios, it should not rely on a prior map. This paper aims to introduce a human-following method that meets these requirements.

For the identification and localization of the target person (ILTP), this paper proposes an approach that integrates data from a camera, a light detection and ranging (LiDAR) and a ultra-wideband (UWB) anchor. For path planning and obstacle avoidance, a modified timed-elastic-bands (TEB) algorithm is introduced.

Compared to the UWB-only method, where only UWB is used to locate the target person, the proposed ILTP method in this paper reduces the localization error by 41.82%. Experimental results demonstrate the effectiveness of the ILTP and the modified TEB method under various challenging conditions. Such as crowded environments, multiple obstacles, the target person being occluded and the target person moving out of the robot’s field of view. The complete experimental videos are available for viewing on https://youtu.be/ZKbrNE1sePM.

This paper offers a novel solution for human-following tasks. The proposed ILTP method can recognize the target person among multiple individuals, determine whether the target person is lost and publish the target person’s position at a frequency of 20 Hz. The modified TEB algorithm does not rely on a prior map. It can plan paths and avoid obstacles effectively.

This chapter presents the results of a process of reflexive thematic analysis. It highlights the recovery journeys of those with mental health, addiction and dual diagnosis challenge. In doing so, a number of similarities occurred. These included beginning in a place of trauma, working to cope with the trauma, seeking help from services, peer support, relapse and finally fully embracing recovery in one’s own life. A number of differentials were also identified, including additional steps in the mental health recovery journey along with the title of various phases of recovery. The chapter ends with an acknowledgement of these similarities and differentials which the following chapter can then utilise as a basis for making recommendations to policy, practice and the users of services themselves.

Trade-offs that involve secular values of money and sacred human values are often seen as taboo. This paper aims to examine how consumers avoid making taboo trade-offs with anthropomorphized products, by choosing options that ensure the well-being of the humanized products, even at a financial cost to themselves.

The authors conducted five experiments, across different marketplace contexts (i.e. repairing, buying and selling), to test the broad generalizability of the extent to which consumers are willing to incur a financial cost due to concern for the well-being of anthropomorphized products.

The results reveal that consumers are willing to accept financially inferior options to protect the humanness endowed upon anthropomorphized products. The effect is mediated by consumers’ concern for the treatment of the anthropomorphized product. The effect is moderated by consumers’ trait empathy level, such that those low in empathy are willing to sacrifice human value for the sake of greater financial gain.

Future research could examine, in the context of anthropomorphized products, if there are types of human values that are less inviolable, leading consumers to be more willing to trade them off for monetary gains.

The findings have direct implications for second-hand markets. For potential buyers of anthropomorphized products, they should signal concern for the product; for sellers, anthropomorphizing their products can reduce haggling behavior. From a sustainability perspective, consumers may be more motivated to repair or recycle their products if it is framed as “infusing new life” into their products.

This work highlights a novel effect of anthropomorphism: when marketplace decisions are involved, anthropomorphizing a product can introduce a tension between secular monetary values and sacred human values. To the best of the authors’ knowledge, this work is the first to show that consumers are willing to incur a monetary loss to protect the humanness of anthropomorphized product, driven by their concern for the proper treatment of such humanized products.

The goal of the Convention on the Rights of Persons with Disabilities (CRPD) is to secure the rights of persons with disabilities as full and equal members of society. Achieving these objectives requires appropriate and high-quality data for identifying disability gaps and areas of exclusion. Such data can be then used to develop policies and programmes to address that exclusion, and then to monitor and evaluate their effectiveness. However, researchers and policy makers face a number of challenges when collecting this data. This chapter reviews the various approaches to collecting data on disability, identifying potential sources of relevant data, including through surveys and repurposing of data collated for administrative means. It discusses at length the legal and ethical issues involved in their collection and use for alternative purposes, providing a comprehensive exploration of issues relating to participation, privacy, big data and rights of access. It concludes by suggesting ways forward for creating disability data systems that can fully support efforts to achieve a fully inclusive society.