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Studies on land acquisition (LA) and recovery simulations have garnered considerable attention amidst climate change. Previous literature has reported that LA and relocation contribute to reducing repetitive disaster losses or downzoning (limiting development). However, studies on decision-making about resettlement or relocation for landowners or decision-makers for disaster-impacted lands are limited. This study aims to qualitatively illustrate LA program schemes for recovery, and identify the underlying concepts of LA in Italy, the United States and Japan. By doing so, this study contributes to construction of future agent-based recovery simulations.

This study seeks to identify a variety of LA models in different contexts to provide input for future works. This study employed multiple case studies to explore common and contrasting results, and identify varied LA concepts. The methodology involved a literature review, including official reports, to examine the timeframes of LA projects qualitatively, complemented using aerial photos to confirm related land use changes pre- and post-LA.

The results indicate that buyout programs in the United States enhance renaturalization in flood-prone areas as a downzoning approach. In contrast, LA in Japan focuses on the continuation of communities or neighborhoods through the recovery and relocation process. In Italy, LA is used to contribute to supporting the tradition/legacy of historic housing and facilities for post-disaster temporary dwellings, reflecting an underlying concept of “tradition and legacy.”

This comparative study fills a research gap by focusing on LA concepts, and its novelty lies in finding the underlying concepts of LA in three countries. Through international comparison, it suggests that LA in Japan could incorporate conservation of the historical town center or the opportunity for downzoning.

International Entrepreneurs (IEs) increasingly cross borders to internationalize their activities, yet the various motives driving them into foreign markets are insufficiently understood vis-à-vis the public agencies striving to attract them. Our study proposes a consideration of their interplay by contrasting the various mobility rationales of IEs with those of the investment agencies striving to capture their talent.

Empirically, we concentrate on firms selected for funding in the French Tech Ticket, a competitive program designed to incentivize international start-ups to set up business in regional clusters across France. Using a longitudinal qualitative approach, we conducted two separate rounds of semi-structured interviews with IEs, public agency managers, and incubator staff members using thematic analysis of participant narratives on mobility.

Our findings point to diverging narratives on mobility, with an overarching opportunity-centrism on the part of the entrepreneurs and a general location-centrism emanating from the regional agencies. These contrasting visions of mobility are not mutually exclusive but rather present along a mobility continuum that generates contrasting logics.

Implications for policy and practice are provided for the investment agencies crafting policies and committing resources to attract mobile international entrepreneurs. While past IE mobility may correlate with the likelihood of present and future movement, our dual settler-explorer continuum model demonstrates that a binary separation of explorers and settlers is too simplistic: explorers may be subject to settler impulses and settlers can still be drawn to exploration and nomadism. We also provide insights for IEs seeking support in their international development and mobility and the particular advantages a given host economy can offer by identifying an overarching proximity-to-distance rationale for explorers, including the common “host-as-stopover” intermediary rationale.

We theorize this incommensurability as an expression of the current complexity of international mobility and policymaking, revealing a “next-frontier” expansionism in cross-border movement that requires more deliberate consideration.

This study aims to analyze the policies and strategies used by governmental organizations to address the impacts of climate change in informal neighborhoods, kampungs, such as Bukit Duri and Melayu in Jakarta, Indonesia, focusing on canal and river flooding mitigation and infrastructure development. The research examines the displacement of residents due to the demolition of informal settlements along riverbanks, the role of different governmental organizations and the implications of these policies on affected communities.

This study uses the theoretical framework of environmental injustice to evaluate the strategies used by the Indonesian Government to address climate change adaptation in Jakarta, with a specific focus on the problem of flooding and its impact on displacement. By analyzing the history and outcomes of flood mitigation policies, this paper assesses the government’s strategies related to infrastructure, evacuation and socialization. In doing so, the study examines the social impact of these policies on affected communities. Furthermore, social listening and media analysis of Twitter data and various news outlets are conducted to gain insights into the living conditions and experiences of displaced residents in two public housing projects.

The study revealed the challenges faced by the government in implementing policies for climate change adaptation and flood mitigation in Jakarta, including a lack of community engagement with residents of the Kampungs in the decision-making process for relocation. Despite government efforts and providing low-cost apartments (rusuwana), the analysis sheds light on the various forms of injustice that result from the government’s approach to climate change adaptation in Jakarta.

This study examines social justice issues in Jakarta’s informal neighborhoods and explores locally driven efforts vs government-mandated policies for managing natural hazards and adapting to climate change.

This paper expands on existing analyses of corporate energy and sustainability communication and shows the potential of evolutionary theory to study and conceptualize sustainable corporate communication as niche construction and its transformative and transformational potential.

With a qualitative content analysis of non-financial reporting of energy corporations and a deep dive into one selected case (Yin, 2013) with a two-step categorization of the sustainability related text and (n = 5) expert interviews (QCAmap, Mayring, 2019; Fenzl and Mayring, 2017), the paper reflects on alterations within the organization and in the organization–stakeholder relationships through corporate sustainability communication.

The analytical deep dive into one case of corporate sustainability communication of a multinational energy corporation shows the difference between a transformative and transformational character of corporate communication. The insights from the interviews support the assumption that corporates not only adapt to changes of environmental factors (perturbative communication) but also – however rarely – alter their spatiotemporal relationships with their external environment (relocational communication), so there is a lack of actual transformational communication.

Corporates in the (renewable) energy sector as well as industry networks like gas (infrastructure) suppliers have the potential to impact their environment (stakeholder, energy communities, etc.), change cultural patterns and norms and co-construct new socio-ecological niches through communication. The study presented gives evidence and examples for transformative corporate sustainability communication. On a conceptual level, it offers an innovative framework to understand sustainability as a guiding principle for corporate communication that will stimulate corporate communication research in the future.

Disaster risk reduction is of prime importance in informal settlements in the Global South, where several forms of vulnerability coexist. Policy and official programmes, however, rarely respond to the needs and expectations of citizens and local leaders living in these settlements. Even though these agents constantly attempt to reduce risks in their own way, we know very little about their activities, motivations and effective impact on risk reduction. Here we seek to conceptualize bottom-up initiatives to better grasp their origins, limitations and success.

Through a four-year action-research project in Colombia, Cuba and Chile, we theorize about the production of change by local agents. Through detailed case studies we explored the activism of 17 local leaders. Through narrative analysis we studied their motivations and explanations. Finally, by documenting 22 initiatives, we revealed effective changes in space.

In the face of risk and disasters, residents and leaders in informal settings engaged in symbolic, physical and social spaces of interaction. Their actions were guided by trust, emotions, time cycles and activism. Local agency was justified by narratives about risk and climate change that differ from those of authorities and scholars.

There is still limited understanding of bottom-up initiatives in informal settings. It is crucial to conceptualize their origins, limitations and success. The focus on three specific countries necessitates further research for broader applicability and understanding.

A better comprehension of bottom-up actions is crucial for informing policies and programmes aimed at reducing risk in informal settings. Stakeholders must recognize the political, social and cultural roles of these actions for more impactful climate action.

We borrow Simon’s concept of “artefact” to introduce the notion of “Artefacts of Disaster Risk Reduction”, providing insights into the multifaceted nature of bottom-up initiatives. We also emphasize the simultaneous political and phenomenological character of these actions, contributing to a deeper understanding of their origins and impact.

This study aims to explore the applications of natural language processing (NLP) and data analytics in understanding large-scale digital collections in oral history archives.

NLP and data analytics were used to analyse the oral interview transcripts of 904 survivors of the Japanese American incarceration camps collected from Densho Digital Repository, relying specifically on descriptive analysis, keyword extraction, topic modelling and sentiment analysis (SA).

The researchers found multiple geographic areas of large residential communities of ethnic Japanese people and the place names of the concentration camps. The keywords and topics extracted reflect the deplorable conditions and militaristic nature of the camps and the forced labour of the internees. When remembering history, the main focus for the narrators remains the redress and reparation movement to obtain the restitution of their civil rights. SA further found that the forcible removal and incarceration of Japanese Americans during Second World War negatively impacted and brought deep trauma to the narrators.

This case study demonstrated how NLP and data analytics could be applied to analyse oral history archives and open avenues for discovery. Archival researchers and the general public may benefit from this type of analysis in making connections between temporal, spatial and emotional elements, which will contribute to a holistic understanding of individuals and communities in terms of their collective memory.

This study uncovers the challenges and coping mechanisms related to stigma and discrimination experienced by gay professional team sport athletes.

Utilizing interpretive phenomenological analysis, this study recruited six gay athletes in professional team sports. Data were collected through virtual one-on-one semi-structured interviews, along with field notes and reflexive journaling, and were thematically analyzed.

The first theme highlights the discrimination and marginalization experienced by gay athletes in professional team sports, as well as the perceived differences between these athletes and their heterosexual counterparts. The second theme includes anecdotes illustrating their experiences of exclusion, along with counter-stories that resist marginalization. The last theme comprises stories that underscore the lack of acceptance and advocacy, emphasizing the awareness education aimed at making the sporting realm more inclusive.

Despite the extensive recruiting efforts for this study, numerous sports and countries remain unexplored. Follow-up studies are required to fill this gap. As this study was initiated, additional research is needed to provide information on athletes who are still in the closet. Cross-comparisons between gay athletes and their heterosexual teammates can help bridge the gap in perspectives.

Participants emphasized collective efforts in creating inclusive and welcoming environments for gay athletes, including anti-discrimination policies related to language use, showers and relocation adjustments.

Participants have put forth concrete recommendations for enhancing inclusivity within team sport environments and society at large, including proposals for early educational initiatives within the school systems.

This is the first empirical study that focuses on the experiences of gay professional team sport athletes.

Using recent US regional data associated with food system operations, this study aims at building optimization and econometric models to incorporate varying influential factors on food hub location decisions and generate effective facility location solutions.

Mathematical optimization and econometric models have been commonly used to identify hub location decisions, and each is associated with specific strengths to handle uncertainty. This paper develops an optimization model and a hurdle model of the US fresh produce sector to compare the hub location solutions between these two modeling approaches.

Econometric modeling and mathematical optimization are complementary approaches. While there is a divergence between the results of the optimization model and the econometric model, the optimization solution is largely confirmed by the econometric solution. A combination of the results of the two models might lead to improved decision-making.

This study suggests a future direction in which model development can move forward, for example, to explore and expose how to make the existing modeling techniques easier to use and more accessible to decision-makers.

The models and results provide information that is currently limited and is useful to help inform sustainable decisions of various stakeholders interested in the development of regional food systems, regional infrastructure investment and operational strategies for food hubs.

This study sheds light on how the application of complementary modeling approaches improves the effectiveness of facility location solutions. This study offers new perspectives on elaborating key features to encompass facility location issues by applying interdisciplinary approaches.