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The research analyzes the influence of three environmental triggers, i.e. awareness, concern and knowledge on environmental attachment and green motivation that affect tourists' pro-environmental behavior in the Pakistan’s tourism industry. Furthermore, this study has analyzed the moderating role of moral obligation concerning environmental attachment and green motivation on tourists' pro-environmental behavior.

Data were gathered via a structured questionnaire by 237 local (domestic) tourists of Pakistan. Furthermore, the data were examined by employing SmartPLS.

Findings demonstrate that all three environmental triggers have a positive and significant relationship with environmental attachment and green motivation. Accordingly, environmental attachment and green motivation promote tourists' pro-environmental behavior. Furthermore, the moderating role of moral obligations has also been incorporated in the study. The finding reveals a strong and positive relationship among environmental attachment and tourists' pro-environmental behaviors during high moral obligations. In contrast, moral obligations do not moderate association between green motivation and tourists' pro-environmental behavior. Therefore, competent authorities should facilitate tourists to adopt environmentally friendly practices; which will ultimately promote pro-environmental behavior.

This study provides useful insights regarding the role of tourism in fostering environmental attachment and green motivation that sequentially influence tourist pro-environmental behavior. Secondly, this research has employed moral obligations as a moderator to identify the changes in tourists’ pro-environmental behavior based on individuals' ethical considerations. Hence, the study provides an in-depth insight into tourists' behavior. Lastly, the present research offers effective strategies for the tourism sector and other competent authorities to increase green activities that can embed the importance of the environment among individuals.

This study conceptualizes a form of luxury consumption in which luxury brands collaborate with unconventional non-luxury partners. These unconventional luxury brand collaborations are growing in popularity among Chinese luxury consumers of the post-1990s generation. Luxury brands are exploring new branding strategies due to the growing commercial importance of Chinese luxury consumers.

An in-depth qualitative study informs this paper. Interviews with young adult luxury consumers self-identifying as Chinese reveal a growing interest for luxury brands that collaborate with odd partners in social media and online culture.

Unconventional collaborations between luxury brands and non-luxury partners catalyze shifting meanings of luxury through the following juxtapositions: ephemeral instead of timeless, trendy rather than inaccessible, and playful in contrast with traditional. First, young Chinese consumers construct luxury meanings through ephemerality, like digital possessions, social media fame and fleeting experiences. Second, luxury meanings emerge in trendiness among social media influencers and online culture rather than in the seemingly inaccessible taste regimes of the upper class. Third, younger consumers appreciate fun, rebellious and over-the-top aesthetics in luxury brands.

The study contributes to the nascent field of unconventional luxury by conceptualizing how unusual, odd and unexpected collaborations constitute new forms of luxury consumption. The shifting meanings of luxury consumption that this study conceptualizes raise new opportunities and challenges for luxury brands. One of such is the release of limited collections with non-luxury partners seemingly at the opposite spectrum of design, image and values. Moreover, the study adds nuance to the understanding of luxury consumption among young Chinese consumers.

This paper focuses on image-to-text manuscript processing through Handwritten Text Recognition (HTR), a Machine Learning (ML) approach enabled by Artificial Intelligence (AI). With HTR now achieving high levels of accuracy, we consider its potential impact on our near-future information environment and knowledge of the past.

In undertaking a more constructivist analysis, we identified gaps in the current literature through a Grounded Theory Method (GTM). This guided an iterative process of concept mapping through writing sprints in workshop settings. We identified, explored and confirmed themes through group discussion and a further interrogation of relevant literature, until reaching saturation.

Catalogued as part of our GTM, 120 published texts underpin this paper. We found that HTR facilitates accurate transcription and dataset cleaning, while facilitating access to a variety of historical material. HTR contributes to a virtuous cycle of dataset production and can inform the development of online cataloguing. However, current limitations include dependency on digitisation pipelines, potential archival history omission and entrenchment of bias. We also cite near-future HTR considerations. These include encouraging open access, integrating advanced AI processes and metadata extraction; legal and moral issues surrounding copyright and data ethics; crediting individuals’ transcription contributions and HTR’s environmental costs.

Our research produces a set of best practice recommendations for researchers, data providers and memory institutions, surrounding HTR use. This forms an initial, though not comprehensive, blueprint for directing future HTR research. In pursuing this, the narrative that HTR’s speed and efficiency will simply transform scholarship in archives is deconstructed.