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This study aims to examine whether country of residence, sex trafficking attitudes, complainant gender, juror gender and right-wing authoritarianism (RWA) influenced juror decision-making within a sex trafficking case.

Jury-eligible participants from the USA and the UK participated in an online juror experiment in which an independent group design was used to manipulate the complainant’s gender. Participants completed the juror decision scale, the sex trafficking attitudes scale and the RWA scale.

Sex trafficking attitudes predicted the believability of both the defendant and complainant. Greater negative beliefs about victims predicted greater defendant believability and lower complainant believability. US jurors reported greater believability of both the complainant and defendant, and RWA was associated with greater defendant believability. However, none of the other factors, including complainant and juror gender, predicted participants’ verdicts. The findings suggest juror verdicts in sex trafficking cases may be less influenced by extra-legal factors, although further research is needed, especially with a more ambiguous case.

This is one of the few cross-cultural comparison studies in the area of jury decision-making, specifically regarding sex trafficking cases. The findings indicated that US participants held more problematic attitudes about sex trafficking than their UK counterparts, although all participants held problematic attitudes about sex trafficking. However, those attitudes did not affect verdict formation about either a male or female complainant. Participants who were more knowledgeable about sex trafficking reported greater complainant believability, suggesting that educational interventions may provide greater support for victims in court.

While previous studies have investigated the factors influencing the internet adoption, the findings may not be transferable to explain blockchain technology adoption, despite its similarities to the internet. This study aims to address this gap by exploring the mediating effect of innovation culture and the moderating effect of innovation policies on business model innovation (BMI) outcomes in emerging economy firms. It investigates how these factors synergistically facilitate BMI, offering practical guidance for public authorities and managers to develop relevant policies and govern businesses effectively.

This study collected data from 287 valid responses among 948 listed companies on the Taiwan Stock Exchange using a structured questionnaire. This study used structural equation modeling and Process Model 5 to analyze direct and indirect effects, focusing on corporate key capabilities for BMI while exploring the combined impact of innovation culture and policies.

The study revealed that innovation culture and innovation policies synergistically facilitate BMI, accelerating firms’ progress toward BMI in the emerging economy context. These outcomes offer valuable guidance for public authorities and company managers in formulating relevant policies and managing businesses effectively.

This study contributes to the literature by uniquely exploring the combined influence of innovation culture and policies on BMI in emerging economy firms, shedding light on their compounding effect and offering practical implications for policy-making and business management.

This study arises from the need to understand the servitization or service transition process in non-manufacturing firms and sets out from a taxonomy proposed in the literature (Lütjen et al., 2017). This study aims to identify the barriers to service transition in small and medium-sized enterprises (SME) participating in an innovation ecosystem and how these small firms can benefit from this strategy to develop in this scale.

A qualitative study was carried out based on multiple case studies, data being collected through semi-structured interviews with service business-people belonging to a science and technology park situated in an inland region of Portugal.

From content analysis, the results obtained indicated a lack of specialized personnel as the main barrier and as a strategy to overcome this situation these companies turned to business cooperation. This means that good management of this cooperation increases the quality of the services provided, as inter-organizational networks, through participation in ecosystems, can secure a wider set of resources and capacities.

This study shows that firms try out different service offers simultaneously and that innovation capacity increases constantly during service transition. Secondly, the study emphasizes the importance of innovation ecosystems, entrepreneurship, servitization and cooperation networks in promoting resilient and small ventures. Thus, this study can help owner-managers, SMEs and political decision-makers to make better informed decisions, which can be particularly relevant in scenarios of uncertainty and crisis.

This study draws conclusions in a little explored empirical area in the literature, challenging the widespread understanding that service transition is used only in manufacturing firms. This study provides clearer conceptual understanding of service transition from a network and relational perspective which, despite the perspective's relevance, still lacks research in the context of servitization.

The purpose of this study is to examine how the implementation of edge computing can enhance the progress of the circular economy within supply chains and to address the challenges and best practices associated with this emerging technology.

This study utilized a streamlined evaluation technique that employed Latent Dirichlet Allocation modeling for thorough content analysis. Extensive searches were conducted among prominent publishers, including IEEE, Elsevier, Springer, Wiley, MDPI and Hindawi, utilizing pertinent keywords associated with edge computing, circular economy, sustainability and supply chain. The search process yielded a total of 103 articles, with the keywords being searched specifically within the titles or abstracts of these articles.

There has been a notable rise in the volume of scholarly articles dedicated to edge computing in the circular economy and supply chain management. After conducting a thorough examination of the published papers, three main research themes were identified, focused on technology, optimization and circular economy and sustainability. Edge computing adoption in supply chains results in a more responsive, efficient and agile supply chain, leading to enhanced decision-making capabilities and improved customer satisfaction. However, the adoption also poses challenges, such as data integration, security concerns, device management, connectivity and cost.

This paper offers valuable insights into the research trends of edge computing in the circular economy and supply chains, highlighting its significant role in optimizing supply chain operations and advancing the circular economy by processing and analyzing real time data generated by the internet of Things, sensors and other state-of-the-art tools and devices.

The ongoing paradigm shift in the energy sector holds paramount implications for the realization of the sustainable development goals, encompassing critical domains such as resource optimization, environmental stewardship and workforce opportunities. Concurrently, this transformative trajectory within the power sector possesses a dual-edged nature; it may ameliorate certain challenges while accentuating others. In light of the burgeoning research stream on open innovation, this study aims to examine the intricate dynamics of knowledge-based industry-university-research networking, with an overarching objective to elucidate and calibrate the equilibrium of ambidextrous innovation within power systems.

The authors scrutinize the role of different innovation organizations in three innovation models: ambidextrous, exploitative and exploratory, and use a multiobjective decision analysis method-entropy weight TOPSIS. The research was conducted within the sphere of the power industry, and the authors mined data from the widely used PatSnap database.

Results show that the breadth of knowledge search and the strength of an organization’s direct relationships are crucial for ambidextrous innovation, with research institutions having the highest impact. In contrast, for exploitative innovation, depth of knowledge search, the number of R&D patents and the number of innovative products are paramount, with universities playing the most significant role. For exploratory innovation, the depth of knowledge search and the quality of two-mode network relations are vital, with research institutions yielding the best effect. Regional analysis reveals Beijing as the primary hub for ambidextrous and exploratory innovation organizations, while Jiangsu leads for exploitative innovation.

The study offers valuable implications to cope with the dynamic state of ambidextrous innovation performance of the entire power system. In light of the findings, the dynamic state of ambidextrous innovation performance within the power system can be adeptly managed. By emphasizing a balance between exploratory and exploitative strategies, stakeholders are better positioned to respond to evolving challenges and opportunities. Thus, the study offers pivotal guidance to ensure sustained adaptability and growth in the power sector’s innovation landscape.

The primary originality is to extend and refine the theoretical understanding of ambidextrous innovation within power systems. By integrating several theoretical frameworks, including social network theory, knowledge-based theory and resource-based theory, the authors enrich the theoretical landscape of power system ambidextrous innovation. Also, this inclusive examination of two-mode network structures, including the interplay between knowledge and cooperation networks, unveils the intricate interdependencies between these networks and the ambidextrous innovation of power systems. This approach significantly widens the theoretical parameters of innovation network research.