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This chapter examines changing attitudes towards exhibiting Chinese immigration in New Zealand. Drawing on archival research and qualitative interviews with subject experts and visitors, three museums are discussed: national narratives at the New Zealand Maritime Museum in Auckland and The Museum of New Zealand Te Papa Tongarewa in Wellington; and regional representations at the Toitū Otago Settlers Museum in Dunedin.

The exhibition analysis shows that multicultural narratives of tangata tiriti immigration including Chinese only became prevalent in the 1990s, when changing attitudes in society at large and progressive immigration legislation influenced strategies of display.

These modernised national narratives propagate a multicultural paradigm. However, exhibiting Chinese immigration history constitutes only a small part of the larger mission of national museums. Accordingly, narratives of Chinese immigration remain superficial, serving celebratory representations of ethnic communities, while racism and discrimination are an important, but not central aspect of these narratives.

At the regional level, Toitū re-invented itself into a social history museum with a more inclusive and reconciliatory agenda, with a redesign in 2013 subsuming Chinese immigration into an intercultural narrative, featuring alongside other minority groups with a focus on cultural contact and exchange.

Nevertheless, all three museums still rely on narratives based on minorities and majorities arranged around a stable hegemony. Consultation and cooperation with Māori also reveal the wish to be presented as first people, set apart from tangata tiriti. That way biculturalism seems to act as a dividing force spatially, but thematically both immigration histories are more and more intertwined.

By considering the challenges of Industry 5.0, the purpose of this study is to analyze the role of heuristic factors in the technical qualities and emotions of Millennials and Generation Z (Gen Z) to assess their acceptance of the use of artificial intelligence (AI) devices such as robots. For this purpose, this paper uses the innovative AI device use acceptance (AIDUA) framework. This research evaluates the implications of human–machine interactions for the usage of robots and AI in daily life.

The proposed AIDUA model is tested using data collected from Millennials and Gen Z. First, a principal components analysis technique is used to validate each measure. Second, a multiple regression analysis using IBM SPSS 26.0 is conducted.

The results of this study suggest that human–machine interaction is a part of a complex process in which there are different elements determining individuals’ acceptance of the use of AI devices during daily life. This paper outlines both the theoretical and practical implications. This study enriches the AIDUA model by connoting it with features and emotions belonging to the younger generation. Additionally, this research offers technology companies suggestions for addressing future efforts on technical performance and on the alignments of the expectations of young people in Society 5.0.

First, the originality of this paper lies in highlighting the binary role of emotions in triggering the use of AI devices and robots. Second, the focus on Millennials and Gen Z offers a new lens for the interpretation of longitudinal phenomena in the adoption of AI. Finally, the findings of this paper contribute to the development of a new perspective regarding a “heartly collaborative” approach in Society 5.0.

This study aims to explore how knowledge management (KM) influences the intellectual capital (IC) of organizations operating in health care and how IC and knowledge-sharing (KS) can contribute to the achievement of sustainable development in health systems. Notably, this study focuses on telemedicine, investigating how relational capital contributes to KS in the context of remote care services.

To comply with the paper’s aim, the authors use a qualitative research method based on a polar case study suitable for IC in health-care studies. More precisely, this study analyzes a nonprofit organization that, for over 15 years, has offered a free multispecialist teleconsultation service to answer medical questions from the most disadvantaged places in the world.

The findings show that the KM significantly contributes to the IC of organizations. Indeed, it improves the data management and transmission system, it increases performance flexibility in times of resource scarcity without compromising business objectives and it can attract new human resources even when not motivated by selfish goals (volunteer physicians).

This research contributes to studies on IC in health care by focusing on the contribution of telemedicine to the creation of IC. In particular, this work emphasizes the ability of telemedicine to develop and share knowledge in disadvantaged areas of the world. Moreover, in the current context, still strongly permeated by the health emergency generated by the pandemic and recently by the war in Eastern Europe, the importance of such assistance and diagnosis grows.

The conclusions the research findings lead may guide policymakers toward a policy supporting telemedicine. It would alleviate general health-care costs and completely revolutionize light health care’s role. Moreover, reducing socioeconomic distances, improving access to care and applying innovative technologies for sharing outcomes foster balanced socioeconomic development and knowledge dissemination.

This research has shown how telemedicine represents a new successful business model even in times of crisis. The organizational model makes it possible to offer cutting-edge specialized care, contain costs, easily reach disadvantaged areas of the planet, strengthen the skills and autonomy of the most backward countries through a process of KS and push the structures operating there to interact with those in advanced countries.

Recently, work-related social media use (WSMU) in organisations and its association with employee outcomes have received considerable research attention. This study examines the association between WSMU, psychological well-being (PW) and innovative work performance (IP). In addition, it explores the mediating role of PW and the moderating role of fear of missing out (FoMO).

A sample of 233 employees working in different organisations was recruited from India to complete the survey. Structural equation modelling was applied to analyse the data.

The result reveals that WSMU has a positive and direct effect on IP. Moreover, the indirect effect via PW among the association was positive and significant. Furthermore, FoMO moderates the indirect relationship between WSMU and IP.

This research is a pioneering work that has contributed to the scarce literature by exploring the relationship between employees' social media use, PW and IP. This research has important theoretical and management contributions because it examines the impact of WSMU on IP, mediating role of PW and moderating role of FoMO among the association between WSMU and employee outcomes.

Given the workplace’s reinvention to accommodate the global pandemic’s novel conditions, knowledge hiding (KH) behaviour in knowledge-intensive organisations must be examined from a fresh perspective. In this context, the relationship between workplace ostracism (WO) as KH’s antecedent and quiet quitting (QQ) as its consequence is undertaken via the mediating role of KH behaviour among knowledge workers (KWs).

Through stratified sampling, data from 649 KWs is obtained to test the model. Partial least squares structural equation modelling (PLS-SEM) using SMART-PLS 4.0. software establishes a significant influence of WO on KH and QQ. KH significantly mediates the relationship between WO and QQ, highlighting its critical intermediary role PLSPredict evaluates the model’s predictiveness. WO and KH’s effects on QQ are examined using necessity logic by collectively applying PLS-SEM and necessary condition analysis (NCA).

The model wherein WO plays a significant role in increasing KH and QQ, with KH as a partial mediator in the relationship, has high predictive relevance. Moreover, NCA confirms WO as the key predictor variable that provides variance in QQ, followed by KH. The Importance-performance map analysis technique supports the study’s managerial implications.

This study enriches QQ’s emerging literature by empirically identifying its antecedents-WO and KH. Methodologically, this paper gives a model for using PLS-SEM and NCA together in relation to QQ by identifying WO as its necessary condition. Evidence of selected constructs’ interrelationships may help organisations draft leadership programmes to curtail KH and QQ behaviour.

Rice is the main cereal in Senegal. Despite efforts to improve the sector, consumers still prefer imported rice. Only one previous study conducted by the authors analyzed these preferences using a sensory analysis approach (Mané et al., 2021). This initial study showed that local rice can compete with imported rice if processing is improved. Based on these results, this study aims to identify the physicochemical parameters responsible for the sensory quality identified in Senegalese consumers.

In this context, the physicochemical and cooking properties of 12 rice samples were analyzed and the correlations between these physicochemical and sensory properties were studied.

The results showed that imported rice had a higher 1000-kernel weight, grain length and transparency values, whereas local rice had higher water uptake, swelling ratios, gelatinization temperature and iron and magnesium contents. Correlations have shown that positive descriptors such as “beautiful,” “white color,” “good taste,” “fragrant,” “fine grains,” “typical rice odor,” well-cooked” and “scattered” were correlated with varietal and technological criteria such as high 1000-grain weight, grain length, whiteness, transparency and absence of impurities in rice. In contrast, negative sensory descriptors such as “pasty” and “sticky texture” were associated with water uptake ratio, gelatinization temperature, rice breakage and cooking time.

These results show how to improve the quality of new rice varieties in the country based on the physicochemical parameters associated with the positive sensory properties cited above by consumers.

In her opinion piece, Deanne Hanchant-Nichols, a Ngarrindjeri mi:mini (woman) with diverse Aboriginal family connections, reflects on the progress of the galleries, libraries, archives, and museums [GLAM] sector in collaborating with Indigenous communities. She observes a shift from tokenistic consultation towards meaningful engagement, where Indigenous voices are authentically integrated into exhibitions and programmes. The author highlights the example of Te Papa Museum in New Zealand, which successfully partnered with Māori Peoples to create an inclusive and engaging museum experience, contrasting this with the more colonial undertones in some Australian museums.

Hanchant-Nichols explores the concept of Tarrkarri, a proposed cultural centre at Lot 14 in Adelaide, South Australia, which aims to showcase Aboriginal and Torres Strait Islander cultural treasures and contemporary works. She acknowledges the challenge of creating a space that genuinely reflects Indigenous culture while operating within a Western cultural paradigm. She emphasises the need for Tarrkarri to be a living cultural centre, accommodating the diverse needs of Aboriginal and Torres Strait Islander communities, offering educative and entertainment elements, and maintaining cultural safety.

The author underscores the importance of collaboration with local Kaurna custodians and other cultural groups, respecting their perspectives. She acknowledges the significance of the site on Kaurna Country and the potential for Tarrkarri to establish an internationally renowned cultural centre. Hanchant-Nichols believes that Tarrkarri, with its potential to showcase both heritage and contemporary Indigenous knowledge, could not only excel in the GLAM space but also become a leader in the science, technology, engineering, and mathematics [STEM] field, ultimately shaping a better future for all.

The aim of this research is to elucidate the correlation between open innovation, digital strategies and networking in enhancing agricultural enterprises within the new perspective of Agrifood 5.0. As such, it contributes to making businesses more competitive, especially in the Italian agricultural sector, where small and medium-sized enterprises are highly fragmented. Numerous studies have asserted that the competitiveness of actors operating within a specific territory is closely linked to local identity and image enhancement. Agricultural organizations are undergoing a profound transformation, with technological assets emerging as catalysts for new synergies. Advanced technologies such as robotics, the Internet of Things (IoT) and automation (AI) are emerging as differentiating elements capable of further advancing the agricultural sector, transitioning it from Agrifood 4.0 to Agrifood 5.0. The empirical analysis of the research shows a positive correlation between a collaborative attitude and a propensity for innovation. Indeed, the data demonstrated that digital strategies and open innovation positively influence competitiveness in agricultural SMEs.

The methodology employed in this study is mixed, incorporating both qualitative and quantitative approaches. The quantitative aspect involves analysis of the dataset from the Italian Statistical Institute (ISTAT) through logistic regression, while the qualitative component entails analysis of semi-structured interviews conducted with a sample of 174 agricultural cooperatives in southern Italian regions (Campania). This approach allows for a comprehensive understanding of the research topic, capturing both numerical trends and nuanced insights from interviews.

After analyzing the data from the 7th General Census of Agriculture conducted by ISTAT, a clear understanding of the sector has emerged, revealing several potential research avenues. It is evident that innovation in the agricultural sector is often driven by the largest and best-capitalized production entities, primarily located in Italy. Conversely, smaller agricultural entities can benefit from networking as new technological assets act as catalysts for new synergies, innovation and competitiveness.

Enhancing the relational contribution within the network and humanizing a fragmented sector are crucial elements for promoting open innovation. Network structuring facilitates the transmission of managerial knowledge, contributing to an overall increase in the intellectual and relational capital of the agricultural sector. These factors, combined with open innovation, enhance the competitiveness of individual firms and elevate the brand of the entire sector, creating a conducive environment for transitioning toward Agrifood 5.0. This transition is characterized by increased interconnection, continuous innovation and overall prosperity. Specific studies on this topic are lacking in Italy, particularly in the southern regions. Therefore, this contribution focuses on investigating the Campania region.

The novelty of this study lies in its investigation of the relationship between agricultural enterprises and innovation in the context of enterprises networking strategies (i.e. associationism and/or cooperation), promoting competitiveness. The limitations of this study are related to the dimension of the sample selected and its relationship with other productive sectors.

This study aims to examine the mediating role of trainer preparation in the effect employee trainer self-efficacy has on trainer performance.

Using a census, data was collected from internal employee trainers in two universities in Ghana. In testing the hypotheses, a structural equation modelling based on 10,000 bootstrap samples was used, and the BCa confidence intervals were used to establish the significance of the hypotheses.

This study revealed trainer preparation as a complementary partial mediator in the effect trainee engagement self-efficacy and instruction self-efficacy had on trainer performance. In addition, the importance–performance map analyses demonstrated that the factor with the most importance in the model was instruction self-efficacy, yet it was not the highest-performing factor.

This study highlights the mediating role played by preparation in the effect of trainer self-efficacy on trainer performance. In addition, it adds to the dearth of studies that focus on employee trainers while at the same time using data from the trainers themselves.