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The purpose of this paper is to focus the application of design of experiments (DOE) using industrial equipments, reinforcing idea that non‐statistical aspects in planning and conducting experiments are so important as formal design and analysis.

Two case studies are presented to illustrate typical industrial applications and difficulties. Supported on these case studies and literature, this paper presents guidelines to planning, conducting and analysis involving technical and organizational aspects.

Solving problems in industry, including in companies recognized as competent in the respective industrial sector, is not just a question of applying the right technique. Ceramic industry case study illustrates how important are non‐statistical issues in DOE application. Paint industry case study illustrates the strong relationship of the results with incorporating presented guidelines into practice. Moreover, both case studies consolidating a fundamental advantage of DOE: experimentation provides more knowledge about products, processes and technologies, even in unsuccessful case studies.

Unsuccessful cases studies are very useful for identifying pitfalls and others limitations. This paper highlight difficulties aroused from non‐statistical aspects, although it is possible to find unsuccessful case studies due to statistical issues also. So, papers illustrating inadequate application of statistical techniques are welcome.

Successful DOE implementation depends on statistical and non‐statistical aspects. Although none of them shall be neglected, technical skills and technological knowledge about processes and products, management understanding of potential possibilities of statistical techniques and statistical fundamentals and knowledge about techniques of DOE must be ensuring to successful case studies in industrial setting.

This paper highlights non‐statistical aspects instead of the statistical ones. Tob overcome difficulties structured guidelines were designed to support DOE application in industrial setting.

This study explores whether the unique organizational form of family firms helps to mitigate the negative effects caused by the announcement of product recalls.

The authors use an event study, for a sample of 2,576 product recalls in the United States (US) automobile industry, between January 2010 and June 2021.

The authors found that stock market's reaction to a product recall announcement is less negative for family firms. This superior performance is partially driven by the family firms' long-term investment horizons and higher strategic emphasis on product quality. However, the relationship between family ownership and cumulative abnormal returns around product recall announcements is nonlinear as the impact of family ownership starts by being positive but becomes negative for higher levels of family ownership. The authors also find that family firm's chief executive officer (CEO) and managerial ownership influence positively the stock market reaction to product recall announcements.

This work has several implications for family firms' management as well as for investors and financial analysts. First, as higher managerial ownership is associated with a greater emphasis on product quality, decreasing stock market losses when a product recall occurs, family firms should consider increasing equity-based compensation. Second, as there seems to exist an optimal proportion of family ownership, family firms should consider the risks of increasing too much their ownership share. Third, investors and financial analysts can use the results in the study to help them in their investment and trading decisions in the stock market.

The authors extend the knowledge of product recalls by studying the under-researched role of the flexible, internally focused culture of family businesses on the stock market reaction to product recalls.

This paper aims to highlight the role of the CEO’s background in the stock market reaction to a product recall. Based on the upper echelons theory and the crisis management literature, we argue that the CEO’s background influences the expected response in a product harm crisis and the updating of investors’ expectations following a product recall announcement. We test if the CEO’s background influences the abnormal stock market returns around product recalls and how it affects the way investors interpret the recall strategy and severity.

We use an event study, for a sample of 2,576 product recalls in the US automobile industry, between January 2010 and June 2021.

We observe that the stock market’s reaction is less negative if the firm’s CEO presents a core specialist background and for firms led by insider CEOs. This result is in line with our argument that in the presence of a crisis that requires operational and firm-specific knowledge, such as product recalls, the best alignment in terms of the CEO’s background occurs when the CEO was recruited inside and is a core specialist. Finally, we also find that the CEO’s background has a moderating effect on the impact of the recall strategy and severity on the stock market reaction to a recall announcement. In particular, a recall with high severity has a more negative stock market reaction when the CEO is a core specialist as such an event is not expected by the market.

These results have important implications for practitioners and scholars working in the areas of product quality and corporate governance. Given the high frequency and high costs for firms to carry out these operations in the automobile industry, we recommend a careful analysis of the CEO’s background before their appointment as well as careful planning to prevent and to adequately react appropriately to product quality problems. While there is a common tendency among executives to cut discretionary expenditures such as spending on product safety, our results regarding the stock market reaction to product recall announcements suggest that investors expect firms led by insider and core specialist CEOs to be more likely to ensure product quality and to respond to product quality crisis.

We extend knowledge of product recalls by studying the role of the CEO’s background on the stock market reaction to product recall announcements.

The goal of this work is to create a computational finite element model to perform thermoelastic stress analysis (TSA) with the usage of a non-ideal load frequency, containing the effects of the material thermal properties.

Throughout this document, the methodology of the model is presented first, followed by the procedure and results. The last part is reserved to results, discussion and conclusions.

This work had the main goal to create a model to perform TSA with the usage of non-ideal loading frequencies, considering the materials’ thermal properties. Loading frequencies out of the ideal range were applied and the model showed capable of good results. The created model reproduced acceptably the TSA, with the desired conditions.

This work creates a model to perform TSA with the usage of non-ideal loading frequencies, considering the materials’ thermal properties.

The purpose of this paper is to analyse the role of spirituality and emotional intelligence in understanding creativity, attitudes towards entrepreneurship, perceived behavioural control (PBC) and entrepreneurial intention of students of a Portuguese higher education institution. A conceptual model is proposed representing direct and indirect relationships among these constructs.

A quantitative approach was adopted in the form of a survey questionnaire applied to a sample of 345 university students. To test the hypothesised relationships between the constructs, the authors used the path analysis technique.

Results show that personal attitudes towards entrepreneurship and PBC have a positive effect on entrepreneurial intention, and mediate the effect of emotional intelligence on entrepreneurial intention. Emotional intelligence has a direct positive effect on creativity. The results reveal no or a tenuous influence of spirituality in the various concepts studied.

It is expected that the model can serve as a support for facilitating and promoting entrepreneurship in higher education environments. It could be of valuable use to furthering our understanding of the role of individual/psychological characteristics, motivational and attitudinal factors in fostering entrepreneurial intention of university students.

Some studies suggest that psychological factors play an essential role in developing alternative models to the entrepreneurial process. However, the studies that directly explore how individual differences in emotional intelligence, spirituality and creativity relate to entrepreneurial intention are relatively few.

This study seeks to collaborate with the discussions on the usefulness of the narrative approach in accounting. In this context, this study aims to elaborate small collective stories, developed from interviews, to expose the population’s perception of the social and environmental impact (positive and negative externalities) resulting from iron ore mining in the city of Congonhas-Minas Gerais (MG).

This research, using counternarratives, aims to elaborate small collective stories, developed from 52 interviews, to expose the population’s perception of externalities resulting from the exploitation of iron ore in the city of Congonhas-MG, Brazil, to give more insight for social and environmental accounting reporting. A qualitative investigation is used with a narrative approach that focuses on a specific event in the participants’ lives.

The authors sought to create a sense of collective experiences of the interviewees through narratives representative of the residents’ perception of externalities in the form of small collective stories. However, it can be observed that the local population recognizes the impact of numerous externalities. Likewise, the use of narratives allows the reader to experience another reality – a reflection on the impact of business activities in a given context. Unlike conventional corporate social reporting, models based on qualitative information can be inclusive, produced by/for the community toward action that transforms the local reality.

This study intends to contribute to the debate on reporting models that are developed by and for external stakeholders. This approach has the potential to improve participants’ both awareness and engagement, supporting transformative social action. This study makes several contributions. It contributes to the literature with a narrative approach, which is not often used in the accounting literature; it brings insights from the Latin American context, which is especially valuable given how the Anglo-American accounting literature includes few papers addressing this context; it presents the view of marginalized communities that are too often overlooked (this narrative approach offers important insights into the lived experience of people at a very granular level).

In this chapter, the authors review the concept of sustainable entrepreneurship and how it has evolved with increasing concerns about the environmental and social impact of business firms. The authors offer a background to the emergence of sustainability issues in the field of entrepreneurship research, and review a number of influential approaches to entrepreneurship that in various combinations address the relationships between the economic, environmental, and social dimensions of business. The authors further suggest three levels at which entrepreneurs can understand and assess their approach to sustainable entrepreneurship, highlight how the issue of sustainable entrepreneurship applies equally to startups and already established corporations, and in the conclusions point toward the emergence of humane entrepreneurship as a critical posture for entrepreneurship in the 21st century.

Purpose: This chapter focuses on the relations between aging and the perception about the families’ quality of life in a medium-sized Portuguese city. Departing from the descriptions of individuals living with at least one child under 14 years of age, particular emphasis is put on how young adults perceive and incorporate into their speeches the presence and role of non-cohabiting elderly, namely their parents and in-laws, as an expression of the quality of life they experience.

Design/methodology/approach: Data rely on episodic interviews conducted with both men and women with young children (3–14 years old), within a broader sociological research devoted to the study of family rituals. The data collected was analyzed using qualitative techniques of content analysis with the help of NVivo software (QSR). The data is presented recurring to contextualized narratives.

Findings: Data analysis allows to conclude that geography matters in the perception that young adults have when reflecting upon the role of the elderly surrounding them, either their parents or in-laws. The presence and coexistence of generations are perceived as “priceless,” a “fortune,” and a “privilege,” possible in a medium-sized city, where everything is close enough to thicken the informal intergenerational solidarities between grandparents, parents, and grandchildren. Behind the scenes, data, furthermore, discloses unpredictable tensions arising mainly regarding children’s education, rules, and behavior.

Originality/value: This chapter contributes to shed light into the daily life of elderly people who are still independent and active, and the seemingly invisible presence and unimportant role they play in their children and grandchildren’s lives.

The purpose of this chapter is to conduct a structured literature review to examine the relationship between entrepreneurship and emotional intelligence in academic settings as well as the current entrepreneurship pedagogy for flexible, innovative and creative graduates. One hundred and twenty-eight peer-reviewed papers were analysed based on Webster’s and Watson’s (2002) methodology. Papers classified into three topics and a content analysis was implemented to discuss about the publication year, journals, authors, frequency of keywords and research method adopted. The contribution of this chapter is twofold. It is a bibliometric study which provides a macropicture of a research field, its evolution and connections among studies, in order to be a starting point for future researchers who are already studying entrepreneurial education or entrepreneurship-related scientific areas. Also, this chapter helps academics to improve educational programmes and curriculum to increase students’ entrepreneurial intention taking into account the factors that affect it.

Paint path planning for industrial robots is critical for uniform paint distribution, process cycle time and material waste, etc. However, paint path planning is still a costly and time‐consuming process. Currently paint path planning has always caused a bottle‐neck for manufacturing automation because typical manual teaching methods are tedious, error‐prone and skill‐dependent. Hence, it is essential to develop automated tool path‐planning methods to replace manual paint path planning. The purpose of this paper is to review the existing automated tool path‐planning methods, and investigate their advantages and disadvantages.

The approach takes the form of a review of automated tool path‐planning methods, to investigate the advantages and disadvantages of the current technologies.

Paint path planning is a very complicated task considering complex parts, paint process requirements and complicated spraying tools. There are some research and development efforts in this area. Based on the review of the methods used for paint path planning and simulation, the paper concludes that: the tessellated CAD model formats have many advantages in paint path planning and paint deposition simulation. However, the tessellated CAD model formats lack edge and connection information. Hence, it may not be suitable for some applications requiring edge following, such as welding. For the spray gun model, more complicated models, such as 2D models, should be used for both path planning and paint distribution simulation. Paint path generation methods should be able to generate a paint path for complex automotive parts without assumptions, such as presupposing a part with a continuous surface.

The paper makes possible automated path generation for spray‐painting process using industrial robots such that the path‐planning time can be reduced, the product quality improved, etc.

The paper provides a useful review of current paint path‐planning methodologies based on the CAD models of parts.