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The Federal Motor Vehicle Safety Standards No. 208 includes directives rendering the morphological estimation of passengers mandatory for advanced air bag systems. The dynamic automatic suppression system uses both the morphological and positional information about the passenger to allow or prevent air bag deployment. Various solutions have been proposed to obtain these information by using capacitive sensors. This paper presents a method, that makes possible use of such sensors in the car industry by correcting their responses from these perturbing parameters.

The chapter reconstructs the methodological trajectory of Polly Hill. Crossing the boundaries between economics and anthropology, Hill’s work was simultaneously an epistemic challenge to development economics, and a testimony to the complexity and richness of economic life in what she called the “rural tropical world.” Drawing inspiration from the process that Mary Morgan referred to as “seeking parts, looking for wholes,” the chapter explores the evolving relationship between observational practice and conceptual categories in Hill’s work on West Africa and India. It is argued that fieldwork, the central element in Hill’s methodological reflection, served two main functions. Firstly, it acted as the cornerstone of her views on observation and induction, framing her understanding of the relationship between “parts” and “wholes.” Secondly, Hill used fieldwork as a narrative trope to articulate her hopeful vision for an integration of economics and anthropology, and later express her feelings of distance and alienation from the ways in which these disciplines were actually practiced.

The purpose of this paper is to extend to accounting and accounting texts the arguments of Phillips which suggest that organisational analysis can be enriched by a greater interface with narrative fiction as a means to bring organisations to life. The paper also introduces the work of Bottin which argues that accounting manuals can be considered as source documents for economic history, more than simply being of purely pedagogical value. Both approaches inform the research into the specialised accounting manual, the Guide du Commerce of Gaignat de l'Aulnais.

This paper uses archival‐based historical methods to examine the Guide du Commerce and the social and economic milieu presented therein. It has developed its analysis through the examination of both primary and secondary sources to underscore the business and social networks of the milieu and to illustrate accounting as narrative.

In his manual, Gaignat recreates merchant activities and commercial relations of eighteenth century France. Gaignat does not content himself with re‐copying material at his disposal or with creating fictitious examples. Rather, through his in‐depth development of case studies and examples of actual accounting methods, he offers the reader insights into the strategic nature of the social and economic milieu in which commercial success might be achieved.

The research approach is transferable to other settings, motivating renewed interest in the history of accounting literature. The stories related in the Guide du Commerce point to the potential value of accounting manuals and other similar documents as historical sources when such sources no longer exist or are limited.

The research method is original in that the methodological approach is new to accounting history, but part of a debate within history more generally.

Following the recent rise in generative artificial intelligence (GenAI) tools, fundamental questions about their wider impacts have started to reverberate around various disciplines. This study aims to track the unfolding landscape of general issues surrounding GenAI tools and to elucidate the specific opportunities and limitations of these tools as part of the technology-assisted enhancement of mechanical engineering education and professional practices.

As part of the investigation, the authors conduct and present a brief scientometric analysis of recently published studies to unravel the emerging trend on the subject matter. Furthermore, experimentation was done with selected GenAI tools (Bard, ChatGPT, DALL.E and 3DGPT) for mechanical engineering-related tasks.

The study identified several pedagogical and professional opportunities and guidelines for deploying GenAI tools in mechanical engineering. Besides, the study highlights some pitfalls of GenAI tools for analytical reasoning tasks (e.g., subtle errors in computation involving unit conversions) and sketching/image generation tasks (e.g., poor demonstration of symmetry).

To the best of the authors’ knowledge, this study presents the first thorough assessment of the potential of GenAI from the lens of the mechanical engineering field. Combining scientometric analysis, experimentation and pedagogical insights, the study provides a unique focus on the implications of GenAI tools for material selection/discovery in product design, manufacturing troubleshooting, technical documentation and product positioning, among others.