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There is a gap in understanding with regards to the discrimination and prejudice experienced by gay entrepreneurs. To address this, an intersectional perspective is adopted to facilitate a better understanding of how lesbian and gay entrepreneurs may experience heterosexism.

This qualitative study uses semi-structured interviews to explore the experiences of 14 lesbian and gay entrepreneurs as they navigate homophobia and heterosexism.

The study contributes novel insights to the field of entrepreneurship, extending the study of lesbian and gay entrepreneurs to include gender and a fine-grained analysis of the experience of heterosexism. Its inclusion of an intersectional perspective of the lesbian-female entrepreneur expands the emerging body of literature examining intersectional identities of minority entrepreneurs.

The authors provide a more nuanced understanding of the impact of heterosexism on LGBT+ entrepreneurial activities. This is facilitated by the authors' adoption of an intersectional perspective which shows how the different axes of identity influenced gender identity performance in relation to the model of perceived neutrality in LGBT+ entrepreneurship. The authors also make an original contribution to minority stress literature through the authors' exploration of one facet of minority entrepreneurship, namely the impact of heterosexism on LGBT+ entrepreneurial activities.

This work proposes a methodology to project future freight demand for all commodity types that begin and end in each geographical region and the amount of freight that moves between all origin and destination pairs. Following the traditional four-step demand forecasting framework, the procedure corresponds to trip generation and trip distribution analysis for interregional freight demand. Using future economic growth factors from macroeconomic and input-output models, the amounts of freight production and attraction in each analysis zone are forecasted and taken as given. Subsequently, an iterative matrix balancing method is applied to determine the estimated freight shipment demand for all origin and destination zone pairs. The proposed algorithm is applied to generate predicted future freight demand within the United States from 2010-2050 in five-year increments based on the national freight demand data from 2007. Four different scenarios are proposed that consider variations in both global economic growth and environmental regulation. This study will assist transportation planners and decision makers in public and private sectors to assess how future freight delivery demand on the national scale considering various future global economic growth and environmental policy scenarios will affect various issues such as air quality and human health problems.

Many countries today, especially in Europe, provide publicly funded public services in quasi-markets. As these markets commercialize, agencies of various types are providing technologies that support citizens’ choice of services. Citizens’ use of technologies for service provision is studied as e-government under labels of channel management, e-service uptake or adoption. In contrast, by using actor–network theory (ANT), the purpose of this paper is to focus on the marketing devices that are used to enroll citizens to choose technologies in a context with large penetration of quasi-market arrangements.

Based on a Swedish case study, this paper uses qualitative data from 11 occurrences of technologies to support citizens’ choice (“market devices”) in education, healthcare and public pension in an analysis of the means taken (“marketing devices”) to increase their use. The study formulates a tentative typology of these devices.

The marketing devices are intended to attract citizens’ attention to the possibility of choice (e.g. catalogs, postcards and commercials), invite interaction (e.g. various social media platforms), improve the technological support in line with user needs (e.g. user participation in development), increase visibility of technological support (e.g. search optimization) or directly connect citizens to technological support (e.g. via links).

The paper contributes to e-government research through a typology of means taken to increase citizens’ technology use based on selected concepts from ANT, and to a discussion of technologies and humans.

The objective of this research is to analyze how omnichannel consumer journey design (OCJD) influences the online customer experience (OCE) and e-satisfaction in consumers' multirooming behavior (searching for information in online and offline channels and purchasing the product online).

The problem-solving theory and experiential marketing perspective are the theoretical background that enables the establishment of five hypotheses. A survey is conducted on multiroomers who had purchased a product online, following an online and offline research journey.

The results showed that OCJD directly and indirectly (through online consumer experience) influences e-satisfaction. Females and younger individuals exhibited higher levels of e-satisfaction.

First, this research analyzes consumers' multichannel search strategies. Second, the consumer journey is incorporated into the study of multichannel retailing. Third, an emergent typology of cross-channel free-riding behavior is analyzed: multirooming.

In 2022 generative AI took the Internet world by storm. Free access to tools that can generate text and images that pass for human creations triggered fiery debates about the potential uses and misuses of generative AI in education. There has risen a need to check the popular utopian and dystopian narratives about AI against the diversity of hopes, concerns and future imaginaries that educators themselves associate with generative AI. The purpose of this study is to investigate the perspectives of Finnish teacher educators on the use of AI in education.

This article reports findings from a hands-on workshop in teacher training, where participants learned about how generative AI works, collaboratively explored generative AI and then reflected on its potential and challenges.

The results reveal nuanced, calm and thoughtful imaginaries rooted in deep understanding of educational policy, evaluation and the sociocultural context of education. The results cover teachers’ views on the impact of AI on learners’ agency, metacognition, self-regulation and more.

This article offers a unique exploration into the perceptions and imaginaries of educators regarding generative AI in specific (instead of “monolithic AI”), moving beyond dystopian views and instead focusing on the potential of AI to align with existing pedagogical practices. The educators contrasted the common techno-deterministic narratives and perceived AI as an avenue to support formative assessment practices and development of metacognition, self-regulation, responsibility and well-being. The novel insights also include the need for AI education that critically incorporates social and ethical viewpoints and fosters visions for a future with culturally, socially and environmentally sustainable AI.