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An overview of the current use of handwritten text recognition (HTR) on archival manuscript material, as provided by the EU H2020 funded Transkribus platform. It explains HTR, demonstrates Transkribus, gives examples of use cases, highlights the affect HTR may have on scholarship, and evidences this turning point of the advanced use of digitised heritage content. The paper aims to discuss these issues.

This paper adopts a case study approach, using the development and delivery of the one openly available HTR platform for manuscript material.

Transkribus has demonstrated that HTR is now a useable technology that can be employed in conjunction with mass digitisation to generate accurate transcripts of archival material. Use cases are demonstrated, and a cooperative model is suggested as a way to ensure sustainability and scaling of the platform. However, funding and resourcing issues are identified.

The paper presents results from projects: further user studies could be undertaken involving interviews, surveys, etc.

Only HTR provided via Transkribus is covered: however, this is the only publicly available platform for HTR on individual collections of historical documents at time of writing and it represents the current state-of-the-art in this field.

The increased access to information contained within historical texts has the potential to be transformational for both institutions and individuals.

This is the first published overview of how HTR is used by a wide archival studies community, reporting and showcasing current application of handwriting technology in the cultural heritage sector.

This study aims to investigate how attributes associated with local food (intrinsic product quality; local support) motivate purchase behaviour. Previous research assumes heterogeneity in consumer motivation, but this has never been formally assessed. As such, the influence of local food attributes in motivating product use is integrated into a model in which consumer values and personal characteristics/situational variables are specified as moderators.

Eight hypotheses are tested using data collected from a quota sample of respondents recruited via an online panel of 1,223 shoppers. A three-stage analysis is used using structural equation modelling. Moderation effects are tested using both latent interactions and multiple-group analysis.

Shoppers purchase local food more frequently as a consequence of local support rather than intrinsic product quality. Unpicking these relationships reveal that local support has an amplified effect when local identity is higher, and when the shopper is either female or of an older age (55 years plus). Surprisingly, the influence of intrinsic product quality is equivalent by gender, age and location (rural/urban).

Marketers promoting locally produced foods should focus on both the intrinsic attributes of local food as well as the role it plays within the local community. The latter is more likely to be successful with communications aimed at women and older consumers.

With previous studies focusing on how local food attributes influence favourable consumer behaviours, the current study unpicks these relationships by examining heterogeneity in responses. This is the first study to concurrently use attributes, values and personal characteristics/situational variables in explaining shopping behaviour for local food.