Search results

The purpose of this study is to assess the use of digital collections created via the large-scale digitization of archival collections. The large-scale digitization method specifically examined is the reuse of archival description from finding aids to create digital collections that consist mainly of compound digital objects, equivalent to a folder of items, minimally described at the aggregate level. This paper compares Web analytics data for two large-scale digital collections and one digital collection with rich, item-level description.

This study analyzed one year of Web analytics for three digital collections. The main research question of this study is: Are digital collections of minimally described compound objects used less than digital collections of richly described single objects?

This study found that the large-scale digital collections analyzed received less use than the traditional item-level collection, when examined at the item level. At the object level, the large-scale collections did not always receive less use than the traditional item-level collection.

This study is limited to three different digital collections from one institution. Web analytics also represent a limited interpretation of “use.”

This study presents a method for other institutions to assess their own large-scale digitization efforts and contributes to the profession’s understanding of the impact of large-scale digitization.

This paper is unique because it uses Web analytics to compare the use of large-scale digital collections to the use of traditional boutique digital collections.

This paper aims at demonstrating how the material approach questions conventional hierarchies of photographic value, showing a way to deal with large quantities of photographs accumulated by scientific and scholarly disciplines in their archives.

For generations, these photographs have been considered as pure documentations of the objects represented in them (from artworks in museums to snowflakes under a microscope). Documentary photographs have been understood as mere working tools that can now be easily replaced by digital duplicates. Overcoming the long-established reduction of photographs to their visual content, the material approach shifts attention to masses of anonymous photographs that are often disregarded within institutions because they do not match museum systems of value based on uniqueness and authorship.

Focussing on photographic and archival practices in art history, this paper aims at demonstrating how conceptual and methodological tools such as “agency” and “materiality” can be made fruitful for theory and practice of photo archives able to explore their epistemological potential. A case study from the Photothek of the Kunsthistorisches Institut in Florenz allows an insight into historical and contemporary dynamics and practices of photographic archives.

With its interwoven strands of archival practice and academic research, the Photothek unboxes itself as a laboratory for the international, cross-disciplinary debate on the role and function of photographs and photographic archives in scholarship, suggesting a methodological path for the entire field. In conclusion, the paper shows that the first necessary step for a long-term conservation of photo archives is promoting research on the photographic objects.

In this paper, the authors offer a methodological discussion and examples of visual analysis processes. The purpose of this paper is to illustrate a data analysis method that the authors named layered textural analysis, which brought together images and texts in ways that changed existing and decontextualized understandings. The authors used layered textural analysis to interpret photo-narratives from a photo elicitation study about the development of intercultural sensitivity in US study abroad students.

Layered textural analysis, as carried out in this study, consisted of structural analysis of narratives present in interview text, visual analysis of the photos, and guiding questions related to the content and relationship of the photos and narratives.

Individual experiences, images, and texts reflect complex connections between matter and thought. The multilayered analysis led to complex understandings and representations of participants’ learning and interpretation of cultural differences, and allowed us to examine photo-narrative events and participants’ individual meaning-making processes.

Visual researchers rarely write about their processes of analysis in sufficient epistemological and methodological detail. Transparency about data analysis may inspire other scholars to experiment with data analysis approaches. The authors share layered textural analysis so that qualitative researchers can gain ideas for their own reflexive analytic techniques and to exemplify how multilayered analysis methods can change understandings of data and work against simplified knowledges.

The purpose of this paper is to investigate the differences in consumer pleasure, arousal and purchase intention when consumers encounter food advertising on Instagram using different endorsers and visual complexity levels.

An experimental design was conducted involving 180 undergraduate students from several universities in Surabaya, Indonesia. The participants had actively used Instagram for at least one year.

Food ads endorsed by a celebrity generate more pleasure and arousal than those endorsed by food experts. Food advertising using high levels of visual complexity cues generates more pleasure and arousal than less complex advertising. However, less complex food ads using food experts create greater pleasure than those endorsed by celebrities. Consumer pleasure and arousal were significant mediators of the impact of endorser type and visual complexity on consumer purchase intentions.

As celebrities and higher levels of visual complexity result in more favorable responses to Instagram ads, food marketers need to consider increasing visual complexity when using celebrities in advertising by adding more objects, using more colors, objects, or textures and incorporating asymmetric elements in the advertisements.

This is one of the few studies comparing the effectiveness of celebrity and expert endorsers in Instagram advertising. Also, this research extends the existing knowledge about visual complexity in the context of social media advertising.

The purpose of this paper is to describe and position the state-of-the-art of text and image mining methods in business research. By providing a detailed conceptual and technical review of both methods, it aims to increase their utilization in service research.

On a first stage, the authors review business literature in marketing, operations and management concerning the use of text and image mining methods. On a second stage, the authors identify and analyze empirical papers that used text and image mining methods in services journals and premier business. Finally, avenues for further research in services are provided.

The manuscript identifies seven text mining methods and describes their approaches, processes, techniques and algorithms, involved in their implementation. Four of these methods are positioned similarly for image mining. There are 39 papers using text mining in service research, with a focus on measuring consumer sentiment, experiences, and service quality. Due to the nonexistent use of image mining service journals, the authors review their application in marketing and management, and suggest ideas for further research in services.

This manuscript focuses on the different methods and their implementation in service research, but it does not offer a complete review of business literature using text and image mining methods.

The results have a number of implications for the discipline that are presented and discussed. The authors provide research directions using text and image mining methods in service priority areas such as artificial intelligence, frontline employees, transformative consumer research and customer experience.

The manuscript provides an introduction to text and image mining methods to service researchers and practitioners interested in the analysis of unstructured data. This paper provides several suggestions concerning the use of new sources of data (e.g. customer reviews, social media images, employee reviews and emails), measurement of new constructs (beyond sentiment and valence) and the use of more recent methods (e.g. deep learning).

The purpose of this paper is to explore two channels of communication (i.e. texts and images) from a non-governmental organization website called #DisruptAging with the aim of finding how multimodal knowledge dissemination contributes to dismantling misconceptions about the aging process.

This analysis is based on an integrated approach that combines corpus-assisted discourse analysis (cf. Semino and Short, 2004; Baker et al., 2008, Baker, 2010) and multimodal critical discourse analysis (Machin and Mayr, 2012) via the American Medical Association format (2007) and the suite of FrameWorks tools (2015, 2017), which are applied to the collection of texts and images taken from #DisruptAging.

A total of 69 stories corresponding with 218 images of older adults have shown to be powerful textual and semiotic resources, designed both for educational and awareness-raising purposes, to promote the so-called “aging well discourse” (cf. Loos et al., 2017).

This discursive approach to the textual and visual material found in #DisruptAging hopes to influence the governing institutions that we construct, and the people who are given power to run them, with the goal of fostering fair treatment of older people within society.

There is a lack of studies investigating counter-discourse forms available online, which use textual and visual language to change the way society conceives the idea of aging.

This chapter presents a research method for operationalizing a human rights approach with children with disability in developing countries that confronts the tension between a universal human rights discourse and local knowledge and customs. This research was undertaken in Papua New Guinea and Vanuatu. Through methods of data collection, analysis of data and the dissemination of findings, the focus was on utilizing human rights concepts and ideas in a way that enabled the local meanings and experiences of children to be re-interpreted against the Articles of the Convention on the Rights of Persons with Disabilities (CRPD). Findings could then be presented in a manner that communicated effectively with governments and local and global organizations, while also honouring the particular experiences of children with disability. Such an approach is, of course, subject to critique and ongoing adaptation.