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This study aims to explore the key challenges and drawbacks of smart contracts (SCs) and how they impact digital resilience within small and medium enterprises (SMEs). Whilst this type of technology is seen as a step forward in terms of traceability, transparency and immutability to increase digital resilience, we argue that it should be approached with trepidation.

In developing this paper, the authors conduct a systematic literature search using the Scopus database. Through this, we identified 931 relevant articles, of which 30 were used as the focus of this article. Thematic analysis was used as the analytical approach to develop themes and meaning from the data.

In this paper, there is an emphasis on the importance of understanding the potential risks associated with SC implementation, as well as identifying appropriate strategies for mitigating any negative impact. In our findings, we puts forward three key themes, namely legality, security and human error, which we argue are key smart contract challenges that impact SME digital resilience.

In this paper, we propose the notion of “centralised control in decentralised solutions”. This comes from the research highlighting SC weaknesses in digital resilience for SMEs. We argue that there is a need for standards, regulations and legislation to address these issues, advocating, ironically, a centralised approach to decentralised technology.

Goffman’s (1961) work on total institutions has been relatively neglected in the fields of organizational research. This paper compares the conceptions of obedience to authority in two different types of voluntary total institutions and how such conceptions affect interaction contrary to the aims of the organizations. Consequently, by addressing how conceptions of authority and constructions of the obedient self shape conditions for underlife, the analysis provides knowledge about the variety of ways in which total institutional authority works and contributes to the understanding of the mechanisms of organizational underlife.

Understanding the stakeholders' role and interest are critical for implementing climate change policy. The dichotomy between adaptation and mitigation, which arguably creates uncertainty at the implementation level, for example, is shaped by the role of the actors involved. In this regard, this study aims to investigate the interests and role of stakeholders in climate change adaptation at the national and regional levels in Indonesia. The country, Indonesia, is selected because it produces the largest amount of greenhouse gas emissions, and the people are at the highest risk of the impacts of climate change in the world. Furthermore, this study discusses the challenges in climate change adaptation in Indonesia.

This research uses a literature review and interviews with potential stakeholders. Purposive sampling methods were applied to select stakeholders for interviews. Interviews with key stakeholders were conducted through email and Zoom. Questions were developed based on the roles and interests of stakeholders.

According to the stakeholders, there is a need to establish links between climate change adaptation and local policy at the national and regional levels. The results reveal no integration strategy or approach to support climate change adaptation. Although there has been some climate change adaptation, few people are widely regarded as authorities on climate change policy. This study also discusses some challenges and opportunities to engage key stakeholders in Indonesia.

The study offers an understanding of stakeholders based on key stakeholders' interests and role in climate change adaptation in Indonesia. The research findings in this study generate prospects for the government or decision-makers or other stakeholders to deliberately aspire for policy planning. In addition, to prepare climate change adaptation policies relating to the role of stakeholders or community-based approaches to climate change adaptation, stakeholders can conduct more detailed studies to achieve community resilience in term of climate change adaptation.

As the lines between physical and virtual worlds blur, this chapter delves into the transformative potential of the smart technology of Metaverse for people's mobility. Through a literature review, the concepts of smart city and Metaverse are revealed, and a comparison between urban mobility and virtual mobility is conducted, looking for a seamless blend of virtual and physical realms. This chapter paves the way for exciting possibilities, from enhanced travel experiences to environmental and societal benefits. However, cautiously, acknowledging the potential downsides of relying on the virtual realm in mobility, this chapter advocates for a balanced approach. Ultimately, this chapter seeks to ignite a conversation about reimagining our cities with Metaverse-driven mobility as a guiding force, where people and places harmoniously converge with Metaverse technology. By combining real-time information, virtual platforms, shared mobility services, efficient urban design and supportive policies, people can make smarter mobility choices that reduce environmental impact and enhance the overall travel experience.

This paper aims to investigate the following issues: the mechanisms through which different types of top management team’s social capital influence the innovation quality of high-tech firms, and the moderating effect of organizational knowledge utilization on the relationship between top management team’s social capital and innovation quality in high-tech firms.

This study categorizes top management team’s social capital into political, business and academic dimensions, investigating their impact on innovation quality in high-tech firms. Furthermore, a research model is developed with organizational knowledge utilization as the moderating variable. Data from Chinese high-tech firms between 2010 and 2019 are collected as samples for analysis.

The innovation quality of high-tech firms shows an inverted U-shaped trend as the top management team’s political capital and business capital increase. The top management team’s academic capital has a significantly positive correlation with the innovation quality of high-tech firms. Moreover, organizational knowledge utilization plays a significant moderating role in the relationship between the top management team’s social capital and innovation quality in high-tech firms.

This study explores the relationship among different dimensions of top management team’s social capital, innovation quality and organizational knowledge utilization. It holds significant theoretical value in enriching and refining the interactions between top management team’s social capital, knowledge management theory and innovation management theory. In addition, it offers important practical implications for firms to rationally approach top management team’s social capital, emphasize top management team configuration management and establish a comprehensive and efficient organizational knowledge utilization mechanism.

This study aims to develop and validate an accurate machine learning model to categorize NBA fans into meaningful clusters based on their perceptions of sport sponsorship. Additionally, by predicting the intensity of NBA fans’ attitudes toward sponsors, the authors intend to identify the specific features that influence prediction, discuss these findings and offer implications for academics and practitioners in sport sponsorship.

This study used a sample of 1,142 NBA fans who were recruited through Amazon Mechanical Turk (MTurk). Fans identification, sponsorship fit, behavioral intentions, sponsor altruistic motive, sponsor normative motive, sponsor egoistic motive were surveyed as predictors, whereas fans’ attitudes toward sponsors was collected as the dependent variable. The LASSO regression, SVM, KNN, RF and XGboost were used to develop and validate the prediction model after verifying the measurement model by the Exploratory Factor Analysis (EFA) and Confirmatory Factor Analysis (CFA).

The RF model had the best accurate in predicting the intensity of fans’ attitudes toward sponsors, achieving an AUC of 0.919 with a sensitivity of 0.872, a specificity of 0.828, a PPV of 0.873, a NPV of 0.828 and an accuracy of 0.848. The most influential feature in the model was “the fit of 0.301”. “Fans’ perceptions of sponsor’s normative motive”, “behavioral intentions supporting sponsors”, “fans’ identification with their favorite team”, “fans’ perceptions of sponsor’s altruistic motive” and “fans’ perceptions of sponsor’s egoistic motive” were exhibited in descending order.

This study is the first in sport sponsorship to accurately classify the intensity of fans’ attitudes toward sponsors as either high or low using machine learning models, and to formulate how fans’ attitudes formed toward sponsors from their perceptions of sponsorship process.

This study aims to explore the relationships between recognition, inclusion, and well-being at work. Inclusion involves integrating individuals within a group while recognizing their unique skills and need for belonging. Recognition and inclusion are sources of well-being at work.

We used a qualitative methodology based on a structural approach to investigate the social representations of 1,611 employees of a public organization located in the Centre-Val de Loire region of France.

Our results suggest that recognition is a central mechanism of inclusion, primarily manifested through satisfaction of the individual’s need to belong. We conclude with a proposed heuristic schema of the connections between the constructs studied.

This paper proposes a new perspective to the work of Shore et al. (2018) by addressing the knowledge gap in the literature concerning the role of recognition in determining an inclusive climate and optimizing well-being at work. This is done using qualitative methodology, drawing on the Dazibao framework of data collection.

Bringing a new perspective to the work of Shore et al. (2018) by helping to fill the knowledge gap relating to the place of recognition in determining an inclusive climate and well-being at work. It does so through a qualitative methodology based on the Dazibao framework of data collection.

Innovation management in the healthcare sector has undergone significant evolutions over the last decades. These evolutions have been investigated from a variety of perspectives: clusters, ecosystems of innovation, digital ecosystems and regional ecosystems, but the dynamics of networks have seldom been analyzed under the lenses of entrepreneurial ecosystems (EEs). As identified by Cao and Shi (2020), the literature is silent about the organization of resource allocation systems for network orchestration in EEs. This article investigates these elements in the healthcare sector. It discusses the strategic role played by entrepreneurial support organizations (ESOs) in resource allocation and elaborates on the distinction between sponsored and nonsponsored ESOs in EEs. ESOs are active in network orchestration. The literature explains that ESOs lift organizational, institutional and cultural barriers, and support entrepreneurs' access to cognitive and technological resources. However, allocation models are not yet discussed. Therefore, our research questions are as follows: What is the resource allocation model in healthcare-related EEs? What is the role played by sponsored and nonsponsored ESOs as regards resource allocation to support the emergence and development of EEs in the healthcare sector?

The article offers an explanatory, exploratory, and theory-building investigation. The research design offers an abductive research protocol and multi-level analysis of seven (sponsored and nonsponsored) ESOs active in French healthcare ecosystems. Field research elaborates on semi-structured interviews collected between 2016 and 2022.

This article shows explicit complementarities between top-down and bottom-up resource allocation approaches supported by ESOs in the healthcare sector. Despite explicit originalities in each approach, no network orchestration model prevails. Multi-polar coordination is the rule. Entrepreneurs' access to critical technological and cognitive resources is based on resource allocation modalities that differ for sponsored versus nonsponsored ESOs. Emerging from field research, this research also shows that sponsored and nonsponsored ESOs manage their roles in different ways because they confront original issues about organizational legitimacy.

Beyond the results listed above, the main originalities of the paper relate to the instantiation of multi-level analysis operated during field research and to the confrontation between sponsored versus nonsponsored ESOs in the domain of healthcare-related innovation management. This research shows that ESOs have practical relevance because they build original routes for resource allocation and network orchestration in EEs. Each ESO category (sponsored versus nonsponsored) provides original support for resource allocation. The ESO's legitimacy is inferred either from the sponsor or the services delivered to end-users. This research leads to propositions for future research and recommendations for practitioners: ESO managers, entrepreneurs, and policymakers.

The ballet industry has long been criticized for using excessively thin and exclusively Anglo-looking ballerinas. The statement that they fit the “look” or comments such as this in the 2015 New York Daily Post: “A lot of people feel ballerinas should all be the same color” (Keivom, 2015) have been used to exclude Black and Brown ballerinas. This chapter describes the relationship between race, gender, and beauty within the ballet industry. It describes the challenges that Black women experience and the anti-Blackness that takes place within ballet due to Eurocentric beauty standards. Through a focus on the emphasis on hair texture, flesh-tone tights, and pointe shoes, and on the racist history of America and ballet, this chapter demonstrates how ballet continues to discriminate against and marginalize Black women.

This chapter focuses on the COVID-19 pandemic’s impact on the recognition through discourses of essentiality, of low-status workers and more specifically of care aides as an occupational group that performs society’s ‘dirty work’. The pandemic appears as a privileged moment to challenge the normative hegemony of how work is valued within society. However, public recognition through political discourse is a necessary but insufficient element in producing social change. Based on the theory of performativity, this chapter empirically probes conditions and mechanisms that enable a transition from discourse of essentiality to substantive recognition of the work performed by care aides in healthcare organizations. The authors rely on three main sources of data: scientific-scholarly works, documents from government, various associations and unions, and popular media reports published between February 2020 and 1 July 2022. While discourse of essentiality at the highest level of politics is associated with rapid policy response to value the work of care aides, it is embedded in a system structure and culture that restrains the establishment of substantive policy that recognizes the nature, complexity, and societal importance of care aide work. The chapter contributes to the literature on performativity by demonstrating the importance of the institutionalization of competing logics in contemporary health and social care systems and how it limits the effectiveness of discourse in promulgating new values and norms and engineering social change.