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Identity, positioning and possibilities intersect differently for South Asian women in white academia. Within a broader migrant community that defines Australian life, these identities and positioning imply great possibility, but pursuing such pathways within academia is a walk on the last strand of resilience. This paper explores this tension of possibilities and constraints, using hope theory to highlight the cognitive resistance evident in the narratives of three South Asian women in Australian academia.

The authors use collaborative autoethnography to share their narratives of working in Australian universities at three different stages of careers, utilising Snyder's model of hope theory to interrogate their own goal-setting behaviours, pathways and agentic thinking.

The authors propose that hope as a cognitive state informs resistance and enables aspirations to contribute within academia in meaningful ways whilst navigating the terrain of inequitable structures.

The authors' use of hope theory as a lens on the intersectional experiences of career making, building and progression is a new contribution to scholarship on marginalised women in white academe and the ways in which the pathways of resistance are identified.

This study investigates the impact that perpetrator coercion type, victim resistance type and respondent gender have on attributions of blame in a hypothetical child sexual abuse case. A total of 366 respondents read a hypothetical scenario describing the sexual assault of a 14‐year‐old girl by a 39‐year‐old man, before completing 21 attribution items relating to victim blame, perpetrator blame, the blaming of the victim's (non‐offending) parents, and assault severity. Overall, men judged the assault more serious when the perpetrator used physical force as opposed to verbal threat or misrepresented play as a coercive act. Men also deemed the victim's non‐offending parents more culpable when the victim offered no resistance, rather than physical or verbal resistance. Women judged the assault equally severe regardless of coercion type, although they did rate the victim's family more culpable when the victim offered verbal rather than physical resistance. Implications and ideas for future work are discussed.

This study aims to understand if and how European digital innovation hubs (DIHs) filling the role of knowledge brokers (KBs) can support the digital transformation (DX) of small and medium-sized enterprises (SMEs) by triggering open innovation (OI) practices.

After presenting a conceptual model of reference, a survey and a subsequent in-depth interview were conducted to capture evidence from Italian DIHs. These structures were selected for their growing importance, as confirmed by the National Plan for Industry 4.0.

The findings highlight that Italian DIHs act not only as KBs but also as knowledge sources that give rise to a digital imprinting process that is able to shape the DX of SMEs.

Research on knowledge sharing and OI has mainly focused on large firms. The study covers the gaps identified in the literature by considering the role of KBs in enabling SMEs to embrace DX.

In the literature on determinants of disclosure, scholars generally tend to investigate the existence of relations in “global” terms by considering the whole range of observed values pertaining to both dependent and independent variables involved in the descriptive model. Despite the different methodologies used coherently to this approach, a hypothesis can be only accepted or rejected entirely. This paper aims to contribute to the literature by proposing a data-driven method based on smooth curves, which allow scholars to detect the existence of local relations, significant in a limited interval of the dependent variable.

The employment of smooth curves is simplified by conducting a study on goodwill disclosure. The model derived by the adoption of the locally weighted scatterplot smoothing (LOWESS) curves may provide an accurate description about complex relations between the extent of disclosure and its expected determinants, whose shape is not completely captured by traditional statistic techniques.

The model based on LOWESS curves provided a comprehensive description about the complexities characterizing the relationship between disclosure and its determinants. The results show that in some cases, the extent of disclosure is influenced by multi-faceted local relations.

The exemplificative study provides evidences useful for standard setters to improve their comprehension about the inclination of companies in disclosing information on goodwill impairment.

The adoption of smooth curves is coherent with an inductive research approach, where empirical evidence is generalized and evolves into theoretical explanations. The method proposed is replicable in all the field of studies, when extant studies come to unclear and contradicting results as a consequence of the complex relations investigated.

This paper aims to examine the COVID-19 pandemic’s impacts on the regional progression toward the Sustainable Development Goals (SDGs) through the lens of the adoption of 2030 Agenda by firms from different Italian regions.

Mixed methods were adopted. First, a content analysis was performed on 330 nonfinancial declarations released in the 2019–2021 period by a sample of 110 Italian listed companies from different regional macroareas. Second, regression analyses were run to test the impact of regional localization of businesses on SDGs adoption over pre-/during/post-COVID era.

The regional localization of businesses does not affect the SDGs adoption in the pre-COVID-19 era because Italian firms mainly address social goals. Instead, SDGs adoption is affected by regional localization of businesses both during and post-COVID-19 age, when Northern firms prioritize economic and social goals, whereas Southern firms shift from social to environmental goals.

This study fills the need of considering the subnational specificities in literature on sustainable development by capturing connections between firms, belonging territory, SDGs and COVID-19 crisis.

A burgeoning body of evidence points out the importance of spatial proximity in influencing firm efficiency besides internal characteristics. Nevertheless, the family status of the firm has been traditionally overlooked in that debate. Therefore, this study aims to investigate productivity spillovers stemming from the geographical closeness to innovators and family firms.

Using secondary data on Italian technology-intensive manufacturing firms, the paper exploits spatial econometric models to estimate productivity spillovers across firms.

As regards the presence of spatial dependence, this study reveals that a firm's level of efficiency and productivity is influenced by that of nearby firms. Specifically, three main results emerge. First, spatial proximity to innovators is beneficial for the productivity of neighbouring firms. Second, closeness to family firms is a source of negative externalities for spatially proximate firms. However, and this is the third result, the adverse effect vanishes when the nearby family firms are also innovators.

As the study relies on cross-sectional data, future research should explore productivity spillovers in a longitudinal setting. Additionally, the channels through which productivity spillovers occur should be measured.

The study highlights the importance of co-location for public policy initiatives to strengthen the competitiveness of firms and, indirectly, that of localities and regions. Moreover, the findings show the crucial role of innovation in mitigating the productivity gap between family and non-family firms.

Notwithstanding the advent of the digital era, spatial proximity and localized social relationships are still a relevant factor affecting firms' performance.

By exploring the role of family firms in influencing the advantages of geographical proximity, this study contributes to the growing efforts to explore family enterprises across spatial settings.

One major problem preventing further application and benefits from additive manufacturing (AM) nowadays is that AM build parts always end up with poor geometrical quality. To help improving geometrical quality for AM, this study aims to propose geometrical deviation identification and prediction method for AM, which could be used for identifying the factors, forms and values of geometrical deviation of AM parts.

This paper applied the skin model-based modal decomposition approach to describe the geometrical deviations of AM and decompose them into different defect modes. On that basis, the approach to propose and extend defect modes was developed. Identification and prediction of the geometrical deviations were then carried out with this method. Finally, a case study with cylinders manufactured by fused deposition modeling was introduced. Two coordinate measuring machine (CMM) machines with different measure methods were used to verify the effectiveness of the methods and modes proposed.

The case study results with two different CMM machines are very close, which shows that the method and modes proposed by this paper are very effective. Also, the results indicate that the main geometrical defects are caused by the shrinkage and machine inaccuracy-induced errors which have not been studied enough.

This work could be used for identifying and predicting the forms and values of AM geometrical deviation, which could help realize the improvement of AM part geometrical quality in design phase more purposefully.

This study focuses on an inventory and typology of consumer dispositions towards “place” and relates it to the underlying theories, inputs and outcomes of place images and attitudes, aiming to unclutter a crowded research landscape by providing a holistic perspective of product/brand place associations.

The paper draws on extant literature to identify, analyze and discuss the consumer dispositions, theories and other elements related to place.

In total, 32 dispositions, 10 inputs to image formation, 28 permutations that complicate the understanding of place images, and 18 outcomes are discussed, providing a comprehensive perspective of the images of, and behaviours towards, various types of places from neighbourhoods to countries and beyond.

Of the large number of constructs and combinations among them that are discussed, some have been studied fairly extensively, but most comprise “the road(s) less travelled”. The paper identifies relevant research gaps and numerous opportunities for new research.

Managers are aware and act upon some of the inventoried dispositions but can benefit by considering the complete array of constructs and concepts that are discussed.

Individuals’ dispositions towards various places help to shape their self and social identities and are important in their daily life and consumption behaviour.

The study brings together for the first time a complete inventory of place-related dispositions alongside a wide range of related theories and concepts, thus advancing our knowledge of the nature and role of the country and other place-related images of products and brands.

This paper aims to investigate the relationship between tourism efficiency at the city level and the quality of life (QOL) of residents. It focuses on assessing whether more efficient tourism cities in China, from an economic standpoint, also offer a higher quality of life for their residents.

A sample of 40 Chinese cities from 2010 to 2019 is analyzed. The study first employs Data Envelopment Analysis to construct a production technology and estimate the technical tourism efficiency of each city. Subsequently, a nonparametric statistical test of independence is applied yearly to explore potential relationships between the cities’ tourism efficiency rankings and their residents’ QOL. This latter is measured by constructing an index for each city following the OECD framework.

The findings of the study are mixed, revealing no clear relationship between tourism efficiency and residents’ quality of life within the analyzed period. This suggests a complex interplay between economic efficiency in tourism and the broader social and environmental factors contributing to QOL.

This study enhances the literature on tourism efficiency by investigating the relationship between tourism efficiency and QOL, an aspect frequently overlooked in efficiency evaluations. Our approach offers a comprehensive understanding of the interplay between economic performance in the tourism sector and the social well-being of city populations. To the best of the authors’ knowledge, this is the first instance where such a relationship has been explored at the city level within the Chinese context.