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The paper’s aim is to explore female academics’ publication aspirations and constraints in a less researched area of Central and Eastern Europe (CEE).

The research data presented in this paper is part of a larger cross-European project involving semi-structured interviews conducted with Early Career Researchers (ECR) (PhD+ 8 years) from Social Sciences and Humanities (SSH) from seventeen European countries.

The findings show how ECR women from the CEE region in SSH encounter difficulties when trying to publish, which obstacles add to a strong economic and geopolitical dependence. Findings reveal that female ECRs use various publications strategies to enhance their scientific career and engage in the neoliberal model of academia, but mostly stay in their local scientific communities, without building internationally recognized scientific careers. Thus, they do wish for a global recognition, but they opt for a safer and more accessible choice of publishing in their local scientific communities.

Knowledge which academic women from the CEE region produce (mostly in their local languages) stays in their local and isolated enviroments, creating an imbalanced knowledge advancement in a international academic arena which recognizes only publications written in English and in renowed journals.

In the rapidly evolving digital economy, businesses face formidable pressures to maintain their competitive standing, prompting a surge of interest in the intersection of artificial intelligence (AI) and digital transformation (DT). This study aims to assess the impact of AI technologies on corporate DT by scrutinizing 3,602 firm-year observations listed on the Shanghai and Shenzhen stock exchanges. The research delves into the extent to which investments in AI drive DT, while also investigating how this relationship varies based on firms' ownership structure.

To explore the influence of AI technologies on corporate DT, the research employs robust quantitative methodologies. Notably, the study employs multiple validation techniques, including two-stage least squares (2SLS), propensity score matching and an instrumental variable approach, to ensure the credibility of its primary findings.

The investigation provides clear evidence that AI technologies can accelerate the pace of corporate DT. Firms strategically investing in AI technologies experience faster DT enabled by the automation of operational processes and enhanced data-driven decision-making abilities conferred by AI. Our findings confirm that AI integration has a significant positive impact in propelling DT across the firms studied. Interestingly, the study uncovers a significant divergence in the impact of AI on DT, contingent upon firms' ownership structure. State-owned enterprises (SOEs) exhibit a lesser degree of DT following AI integration compared to privately owned non-SOEs.

This study contributes to the burgeoning literature at the nexus of AI and DT by offering empirical evidence of the nexus between AI technologies and corporate DT. The investigation’s examination of the nuanced relationship between AI implementation, ownership structure and DT outcomes provides novel insights into the implications of AI in the diverse business contexts. Moreover, the research underscores the policy significance of supporting SOEs in their DT endeavors to prevent their potential lag in the digital economy. Overall, this study accentuates the imperative for businesses to strategically embrace AI technologies as a means to bolster their competitive edge in the contemporary digital landscape.

This study investigates consumer perspectives on cultural appropriation in the fashion industry by analysing user-generated content on Douyin.

Using text-mining techniques, including topic modeling and sentiment analysis, 6,584 comments related to the Dior midi-length skirt controversy were analyzed to identify key themes and sentiments.

The study reveals that cultural appropriation elicits polarized responses. Positive themes, such as cultural appreciation, innovation and global exposure, highlight consumer approval of respectful and creative integration of cultural elements. Negative themes, including cultural theft, historical inaccuracy and commercial exploitation, underscore concerns about commodification and misuse of cultural symbols.

Fashion brands should prioritize cultural sensitivity by collaborating with cultural communities, ensuring historical accuracy and promoting ethical engagement with cultural symbols. Proactively addressing these issues through real-time consumer feedback can help mitigate backlash, foster trust and enhance brand equity.

This study advances the discourse on cultural appropriation by leveraging real-time user-generated content to provide actionable insights for ethical practices in the fashion industry.

The paper aims to explore the model of circular economy for promotion of principles of social inclusion, empathetic governance, and economic sustainability environmental resilience by examining the research gap on how to employ Environment, Social and Governance (ESG) framework, principles of biomimicry and reimagining an economic model of resourcefulness.

The paper is a descriptive study based on review of literature. To analyse the research gaps, paper employs bibliometric research technique, well-accepted meta-analytical research of literature to find overlapping factors of relevance by examining most-cited authors, papers, as well as co-citation patterns (Kim, 2008). The method analyses the published data texts, information like authorship, citations, keywords, and illustrating linkages between and among articles about certain research topic (Fetscherin, 2012).

Data were sourced from collection archival database of JSTOR, Web of Science and J-Gate till December 2022, by searching with following string – “Circular Economy,” “ESG (Environment, Social and Governance),” “Biomimicry,” “Circular Economy and ESG,” “Circular Economy and Biomimicry,” “Circular Economy and Resourcefulness.” The selection of said string of words was based on the literature review, overlaps and the research questions formulated. The findings reflect common factors of overlaps and its coherence in domain of policy formulation for the circular economy.

The research approach needs to be tested for practical application with stakeholders which includes individual-community for necessary behavioural change/acceptance, policy measures, innovations for scalability and the new business models so that the changes become an integral part of DNA of new economic model.

Emphasis on reimagined alliance between the environment, economy, and society to achieve the triple bottom line for a sustainable future. In doing so mitigate the impact on nature, generate livelihood opportunities and institute a green industry with an emphasis on circularity by incorporating the principles of ESG, biomimicry and resourcefulness.

The paper addresses the developing frontier of circular economy by identifying and mapping the factors of overlap with principles of ESG and biomimicry with circular economy for a future which is sustainable and resourceful. It attempts to advance the domain of knowledge with suggestion for implementable policy initiative arising from the study.

This study aims to provide a nuanced understanding of the relationship between task-technology fit and employee innovative behavior, as well as the role of creative self-expectations.

Hierarchical regression analysis was used to test the proposed multilevel model on a sample of 407 employees working in Chinese companies.

Task-technology fit stimulates employee innovative behavior through the regulation of creative self-expectations and positive emotions. When creative self-expectations is low, the promoting effect of task-technology fit on innovative behavior is enhanced. However, when creative self-expectations is too high, this effect is reversed due to employees’ preference for challenging and complex work.

In the process of enterprise digital transformation, managers should not only focus on the alignment between employees' skills and individual task expectations, but also pay attention to employees' emotions and individual trait differences, to enhance the likelihood of innovative behavior occurrence and achieve successful enterprise digital transformation.

This study enriches the research on task-technology fit and provides recommendations for organizations to achieve digital transformation.

The purpose of this study is to conduct a comprehensive systematic literature review using bibliometric approach to investigate the academic structure of World Trade Organization Dispute Settlement research.

The study examines the bibliographic information for 1,858 articles from Scopus and the Australian Business Deans Council-indexed journals published between 1995 and 2024 using Dimensions.ai and Google Scholar search engines. Exploratory-cum-descriptive research design with bibliometric approach is used to answer the stated literature review research questions.

The data shows a gradual decline in WTO-Dispute Settlement System (WTO-DSS) research relative to the total international business area in the three decades. Developed countries appear as key contributors to the research, with the USA and the UK standing out as the most productive and influential research countries. The study shows a significant change in the focus of this research corpus from legalized to non-legalized approaches, with a greater emphasis on transparency and environmental sustainability. The research identifies global politics and international trade law as influential subjects in the discipline.

To the best of the authors’ knowledge, the study is a first of its kind where bibliometric approach has been used to study the evolution of WTO-DSS literature. The study adds to the understanding of WTO Dispute Settlement research patterns and recommends future research options.

This paper investigates the evolving landscape of architectural criticism in the digital era, leveraging the enduring interplay between architecture and media. It specifically examines the role of social media and public awards in improving user engagement with architectural discourse.

A mixed-method approach, incorporating both qualitative and quantitative analyses, is used to discuss three architecture awards. These are chosen for their different evaluation processes and their capacity to offer diverse opportunities for public interaction and engagement.

The study emphasises the potential of social media to democratise architectural criticism, while also addressing challenges such as the prominence of non-critical visual material and the presence of algorithmic biases. The findings underline the importance of providing adequate materials for public evaluation and integrating expert juries to support the assessment process. These elements are essential to fostering informed public participation, bridging the gap between professional expertise and popular engagement, and enabling meaningful architectural discourse on social media.

This paper fills a gap in the academic literature by connecting public architectural awards – a relatively unexplored aspect of architectural culture – with the potential of social media as a platform for architectural criticism.