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This study addresses the intersection of team gender composition, social entrepreneurship and new venture performance, aiming to understand the unique dynamics shaping these areas. The authors discuss why female and diverse founding teams often gravitate toward social ventures and explore the relevance of this phenomenon. By investigating the impact on new venture performance, this study examines the effect of team diversity in the context of social entrepreneurship.

The study is based on a survey among new ventures in Austria. Data from 326 new ventures were analyzed using linear and logistic regression analysis. Drawing on gender role theory, the effect of diverse and female founding teams on the amount of acquired external capital was tested, emphasizing how social goals may serve as a signaling mechanism to investors.

In line with gender role theory, the study confirms that female and diverse founding teams are more inclined to establish social ventures. While the authors find empirical support for this assertion, there was no evidence found for a second assertion by the gender role theory stating that social entrepreneurship can specifically reduce gender bias with respect to external equity funding of new ventures. Contrary to expectations, the tendency of female and diverse founding teams to prioritize social goals hinders their ability to secure external equity. Furthermore, this research indicates that gender-diverse and all-female teams achieve lower levels of employment growth compared to all-male teams. These results provide insights into the relationship between team composition and venture performance.

Adding to gender role literature, this research expands the current understanding of how team gender diversity and social entrepreneurship affect venture performance. The study indicates a high prevalence of social entrepreneurship among gender-diverse teams and highlights specific challenges faced by female and gender-diverse founding teams. The findings underpin the need for a deeper understanding of the challenges faced by female and gender-diverse teams in the entrepreneurship area. By addressing these dynamics, the study offers valuable insights and recommendations for policymakers, investors and entrepreneurs, laying a foundation for future research into promoting gender equality and fostering inclusive entrepreneurship ecosystems.

The purpose of this study is to explore the integration of risk management and circular economy (CE) principles within the healthcare sector to promote sustainability and resilience. Specifically, the study aims to demonstrate how risk management can support the transition to a circular economy in healthcare supply chains. By integrating risk management practices with CE principles, healthcare organizations can identify potential risks and opportunities associated with circular initiatives.

This study adopts a qualitative research approach, using a case study methodology with semi-structured interviews conducted at primary care facilities to understand the application of CE principles in practice. The study uses fuzzy logic methods to assess and mitigate risks associated with strategies promoting CE principles. Additionally, key performance indicators are identified to evaluate the effectiveness and enhance the resilience of these strategies within healthcare supply chains.

The study highlights the critical role of robust risk management strategies in facilitating the transition to a circular economy within healthcare organizations. Primary care facilities, which are critical to frontline healthcare delivery, are particularly vulnerable to product shortages due to supply risks. This study focuses on critical protective equipment, specifically latex gloves and assesses operational risks, including supply, demand and environmental risks, using a fuzzy logic-based model. Import delays were found to be a moderate risk, typically occurring once a year. The research highlights critical KPIs for a successful CE transition within healthcare supply chains, such as on-time delivery and service quality, which are directly related to the risk of supply chain disruption. In addition, the study highlights the significant impact of other CE strategies on healthcare supply chains, including localized production and manufacturing, innovation in product development, reverse logistics, closed-loop supply chains and the adoption of lean principles.

This study provides valuable insights for healthcare organizations to optimize resource efficiency, reduce waste and promote circularity in their operations. By implementing the proposed solutions and focusing on the identified KPIs, organizations can develop strategies to achieve sustainability goals and enhance resilience in healthcare supply chains.

This study contributes to the literature by demonstrating the application of risk management in facilitating the transition to a circular economy in the healthcare sector. The use of fuzzy logic methodology offers a novel approach to assessing and mitigating risks associated with critical product failures in supply chain activities. The study’s findings provide practical guidance for healthcare organizations seeking to integrate circular economy principles and improve sustainability performance.

This paper presents a reflection in memory and tribute to the work and life of Professor Barbara Czarniawska (1948–2024).

We invited those colleagues whom we knew to be close to Barbara to submit reflections about her contributions to academia alongside their memories of her as a person. We present these reflections in the order we received them, and they have only been edited for minor grammatical and punctuation issues to preserve the voice of the contributing authors.

The reflections in this paper represent different translations of Barbara’s academic and theoretical contributions. However, she also contributed to people. While we can count the number of papers, books and book chapters she published, we must also count the number of co-authors, Ph.D. supervisions, visiting professorships and conference plenaries she touched. This (ac)counting tells the story of Barbara reaching out to work and interact with people, especially students and early career researchers. She touched their lives, and the publications are an artefact of a human being, not an academic stuck in an ivory tower.

A paper in Barbara Czarniawska’s honour where some of her closest colleagues can leave translations of her work through a narrative reflection, seems to be a fitting tribute.

Numerous design methods are available to facilitate digital innovation processes in user interface design. Nonetheless, little guidance exists on their appropriate selection within the design process based on specific situations. Consequently, design novices with limited design knowledge face challenges when determining suitable methods. Thus, this paper aims to support design novices by guiding the situational selection of design methods.

Our research approach includes two phases: i) we adopted a taxonomy development method to identify dimensions of design methods by reviewing 292 potential design methods and interviewing 15 experts; ii) we conducted focus groups with 25 design novices and applied fuzzy-set qualitative comparative analysis to describe the relations between the taxonomy's dimensions.

We developed a novel taxonomy that presents a comprehensive overview of design conditions and their associated design methods in innovation processes. Thus, the taxonomy enables design novices to navigate the complexities of design methods needed to design digital innovation. We also identify configurations of these conditions that support the situational selections of design methods in digital innovation processes of user interface design.

The study’s contribution to the literature lies in the identification of both similarities and differences among design methods, as well as the investigation of sufficient condition configurations within the digital innovation processes of user interface design. The taxonomy helps design novices to navigate the design space by providing an overview of design conditions and the associations between methods and these conditions. By using the developed taxonomy, design novices can narrow down their options when selecting design methods for their specific situations.

Critical studies within the economic and administrative sciences are increasingly paying attention to the way markets shift responsibility to consumers for societal and personal goals, referring to this process as consumer responsibilization. This article advances a new approach to responsibilization theory with the aim of overcoming some of its limitations.

A conceptual approach is used to critique dominant post-structural understandings of consumer responsibility and to advance alternative ways of thinking about responsibilization regimes that highlight the embodied and embedded experiences of responsible consumers.

The article suggests that responsible consumption is embodied and embedded within neoliberal social structures characterized by inherent tensions and will produce strained experiences rather than skilled and empowered neoliberal subjects. The authors underscore the need for an empirical focus on the adaptational responses of consumers to responsibilization processes. With a focus on the frictional relationship between the idealization pressures involved in responsibilization processes and the real-world consequences embodied in consumer experiences, the conceptual approach may provide new ways to advance the concept of responsibilization as a critique of neoliberal marketization.

While responsibilization theory has been gaining widespread attention, this is the first paper to critically examine its limitations and offer an embedded-embodied perspective on consumer responsibility.

During the last decade, several areas in the biomedical and social sciences experienced a reproducibility crisis, where mounting empirical evidence indicated that many published findings could not be successfully replicated. This crisis resulted in considerable introspection within the field of statistics because the null hypothesis statistical testing (NHST) paradigm is acknowledged as one of its root causes based on widespread agreement that it is deeply flawed. However, unlike in many other areas, there has yet to be a concerted effort within the discipline of accounting to acknowledge these developments, let alone steps taken to improve practice. This essay aims to spark discussion and debate on the validity of the NHST paradigm by presenting a comprehensive case, incorporating the latest arguments and findings, that demonstrates why the paradigm needs to be abandoned, especially in fields where statistical model misspecification looms large and statistical power is low, such as in management accounting. In so doing, the analysis exposes why obtaining robust knowledge in management accounting has proved elusive. Additionally, it offers a new perspective on the reproducibility crisis and critical insights for improving statistical practice.

Global leadership research, as most international management research, has traditionally focused on firm or team performance rather than on the inclusion of underrepresented groups. Thus, global leadership research and practice can gain from a more nuanced and critical account of diversity and power. While significant progress has been made in understanding gender diversity, research on international diversity – diversity in nationality – remains underdeveloped. Nationality, as a marker of social identity, influences perceptions, stereotypes, and leadership biases akin to gender biases. This paper argues for a dual perspective on nationality, considering both cultural and social structural dimensions. Recent research demonstrates that nationality-based status works alongside identity to shape leadership perceptions and dynamics in multinational teams. To advance global leadership, scholars must address nationality, consider social structures (alongside culture), and explore how international diversity impacts leadership. To foster equality, diversity, and inclusion in international business, our frameworks must account for – and help create – culturally inclusive as well as structurally diverse forms of global leadership.

This paper takes the manufacturing cluster supply chain as the research object and explores the evaluation and enhancement strategy of manufacturing cluster supply chain synergy. The purpose of this study was to (1) analyze the mechanism of manufacturing cluster supply chain synergy; (2) construct manufacturing cluster supply chain synergy evaluation model; (3) algorithm realization of manufacturing cluster supply chain synergy evaluation and (4) propose manufacturing cluster-based supply chain synergy enhancement strategy.

Breaking through the limitations of traditional manufacturing cluster supply chain synergy evaluation, we take horizontal synergy and vertical synergy as coupled synergy subsystems, use the complex system synergy model to explore the horizontal synergy between core enterprises and cluster enterprises and the vertical synergy of supply chain enterprises and use the coupling coordination model to construct the coupled synergy evaluation model of manufacturing cluster supply chain, which is an innovation of the evaluation perspective of previous cluster supply chain synergy and also an enrichment and supplementation of the evaluation methodology. This is not only the innovation of the evaluation perspective but also the enrichment and supplementation of the evaluation method.

Using Python software to conduct empirical analysis on the evaluation model, the research shows that the horizontal and vertical synergies of the manufacturing cluster supply chain interact with each other and jointly affect the coupling synergy. On this basis, targeted strategies are proposed to enhance the synergy of the manufacturing cluster supply chain.

This study takes manufacturers, suppliers and sellers in the three-level supply chain as the research object and does not consider the synergistic evaluation between distributors and consumers in the supply chain, which can be further explored in this direction in the future.

Advanced manufacturing clusters, as the main force of manufacturing development, and the synergistic development of supply chain are one of the important driving forces for the high-quality development of China’s manufacturing industry. As a new type of network organization coupling industrial clusters and supply chains, cluster supply chain is conducive not only to improving the competitiveness of cluster supply chains but also to upgrading cluster supply chains through horizontal synergy within the cluster and vertical synergy in the supply chain.

Research can help accelerate the transformation and upgrading of clustered supply chains in the manufacturing industry, promote high-quality development of the manufacturing industry and accelerate the rise of the global value chain position of the manufacturing industry.

(1) Innovation of research perspective. Starting from two perspectives of horizontal synergy and vertical synergy, we take a core enterprise in the cluster supply chain as the starting point, horizontally explore the main enterprises of the cluster as the research object of horizontal synergy, vertically explore the upstream and downstream enterprises of the supply chain as the research object of vertical synergy and explore the coupling synergy of cluster supply chain as two subsystems, which provides new perspectives of evaluation of the degree of synergy and synergy evaluation. (2) Innovation of research content. Nine manufacturing clusters are selected as research samples, and through data collection and model analysis, it is verified that the evaluation model and implementation algorithm designed in this paper have strong practicability, which not only provides methodological reference for the evaluation of manufacturing cluster-type supply chain synergy but also reduces the loss caused by the instability of clusters and supply chains and then provides a theoretical basis for improving the overall performance of cluster-type supply chains.

Contemporary changes have occurred in country-level policies and tourists’ intentions in recent years. The role of maintaining a country’s image is trendy in crisis control but has not yet been discussed in domestic tourism research. Extending the Stimulus Organism Response model, this study aims to focus on “trustable WOM creation” in China. In addition, it aimed to discover how behavioral changes encourage domestic tourism intention (DTI).

This study explored the mediating role of DTI and the moderating role of maintenance of country image (MCI) for trustable word of mouth (WOM) creation. Using the snowball sampling technique, a structural equation modeling analysis (Smart PLS-4) was employed to analyze the data of 487 Chinese tourists.

Findings confirm that behavioral changes positively encourage domestic tourism and discourage international tourism, with significant negative moderation by MCI. MCI has an insignificant positive moderating effect between government-media trust and DTI. Furthermore, DTI positively and directly affects the creation of trustable WOM. In addition, it had a 20% mediation effect (VAF%) between behavioral changes and WOM creation, higher than the rejected mediation effect (12%), in the causal relationship between government-media trust and WOM creation.

WOM creation varies from different behavioral changes, but findings suggest that government-media trust and DTI influenced it significantly. Based on the study findings, the government and media can enhance domestic tourism by maintaining the country’s image. These findings both encourage and control the recovery of tourism.

This study provides a theoretical explanation for tourists' behavioral changes during the pandemic. Moreover, it shows that despite avoiding international tourism due to behavioral changes and government-media trust, MCI moderation with the mediation effect of DTI can create trustable WOM. To the best of the authors’ knowledge, this is the first study to theoretically promote tourism through DTI-induced psychology as a mediator and an organism affect prevailing among Chinese tourists.

The purpose of this paper is to provide an autoethnographic account of a survivor of poor mental health and how his illness coincided with the UK national economic crisis of the 1970s.

Using an autoethnographic approach, the author provides a perspective on the Keynesian post-Second World War full employment consensus and mental health.

This paper reflects on the author’s experience of UK economics in the 1970s and illustrates a lack of dialogue around full employment in influential places with the demise of the Keynesian full employment consensus.

This is one account among many and draws on contemporary commentaries. A central theme is the stagflation of the 1970s. The author’s studies in economics did not prepare him for the understanding of stagflation and that the author’s personal life became chaotic at the same time.

There is a revisiting of the national political and economic narrative of the early 1970s, with an emphasis on full employment. This account is personally cathartic and reflective.

The paper raises questions of social justice through full employment from an historic era which resonates in 2024.

The author has waited since the 1970s to write this paper. An era is revisited, about which not a lot is mentioned in current dialogues.