How has Japan become a major economic power, a world leader in the automotive and electronics industries? What is the secret of their success? The consensus has been that, though the Japanese are not particularly innovative, they are exceptionally skilful at imitation, at improving products that already exist. But now two leading Japanese business experts, Ikujiro Nonaka and Hiro Takeuchi, turn this conventional wisdom on its head: Japanese firms are successful, they contend, precisely because they are innovative, because they create new knowledge and use it to produce successful products and technologies. Examining case studies drawn from such firms as Honda, Canon, Matsushita, NEC, 3M, GE, and the U.S. Marines, this book reveals how Japanese companies translate tacit to explicit knowledge and use it to produce new processes, products, and services.

The knowledge-creating company : how Japanese companies create the dynamics of innovation

Note on Translation Introduction by Michael Holquist Response to a Question from the Novy Mir Editorial Staff The Bildungsroman and Its Significance in the History of Realism (Toward a Historical Typology of the Novel) The Problem of Speech Genres The Problem of the Text in Linguistics, Philology, and the Human Sciences: An Experiment in Philosophical Analysis From Notes Made in 1970-71 Toward a Methodology for the Human Sciences Index

Speech Genres and Other Late Essays

Language and the Internet

Reading Images:: Art, Aesthetics, and the Imagery of the Future in Argentine Science Fiction

Blogs and social networks have recently become a valuable resource for mining sentiments in fields as diverse as customer relationship management, public opinion tracking and text filtering. In fact knowledge obtained from social networks such as Twitter and Facebook has been shown to be extremely valuable to marketing research companies, public opinion organizations and other text mining entities. However, Web texts have been classified as noisy as they represent considerable problems both at the lexical and the syntactic levels. In this research we used a random sample of 3516 tweets to evaluate consumers' sentiment towards well-known brands such as Nokia, T-Mobile, IBM, KLM and DHL. We used an expert-predefined lexicon including around 6800 seed adjectives with known orientation to conduct the analysis. Our results indicate a generally positive consumer sentiment towards several famous brands. By using both a qualitative and quantitative methodology to analyze brands' tweets, this study adds breadth and depth to the debate over attitudes towards cosmopolitan brands.

More than words: Social networks' text mining for consumer brand sentiments

This article explores how language is used to build community with the microblogging service, Twitter (www.twitter.com). Systemic Functional Linguistic (SFL), a theory of language use in its social context, is employed to analyse the structure and meaning of ‘tweets’ (posts to Twitter) in a corpus of 45,000 tweets collected in the 24 hours after the announcement of Barak Obama’s victory in the 2008 US presidential elections. This analysis examines the evaluative language used to affiliate in tweets. The article shows how a typographic convention, the hashtag, has extended its meaning potential to operate as a linguistic marker referencing the target of evaluation in a tweet (e.g. #Obama). This both renders the language searchable and is used to upscale the call to affiliate with values expressed in the tweet. We are currently witnessing a cultural shift in electronic discourse from online conversation to such ‘searchable talk’.

/pdf/ambient-affiliation-a-linguistic-perspective-on-twitter-339o56xe57.pdf

Ambient affiliation: A linguistic perspective on Twitter:

An important dimension of social media discourse is its searchability. A key semiotic resource supporting this function is the hashtag, a form of social tagging that allows microbloggers to embed metadata in social media posts. While popularly thought of as topic-markers, hashtags are able to construe a range of complex meanings in social media texts. This paper uses the concept of linguistic metafunctions, to explore how hashtags enact three simultaneous communicative functions: marking experiential topics, enacting interpersonal relationships, and organizing text. Corpus-based discourse analysis of linguistic patterns in a 100 million word Twitter corpus is used to investigate these functions and how they relate to the notion of social search.

Searchable talk: the linguistic functions of hashtags

This article explores interpersonal meaning in social media photographs, using the representation of motherhood in Instagram images as a case study. It investigates the visual choices that are made in these images to construe relationships between the represented participants, the photographer, and the ambient social media viewer. The author draws upon existing work on the visual systems of point of view and focalization to explore interpersonal meaning in these images, and proposes that an additional system – subjectification – is needed to account for the kinds of relationship between the viewer and the photographer that are instantiated in social photographs, as well as the ways in which subjectivity is signaled in these images. The dataset analyzed is the entire Instagram feed of a single user who posts images of her experience of motherhood and a collection of 500 images using the hashtag #motherhood.

Social media photography: construing subjectivity in Instagram images:

Social media such as microblogging services andsocial networking sites are changing the way people interact online and searchfor information and opinions. This book investigates linguistic patterns in electronic discourse,looking at online evaluative language, Internet slang, memes and ambientaffiliation using a large Twitter corpus (over 100 million tweets) alongsidespecialized case studies.The author argues that we are currently witnessing a cultural movement fromonline conversation to what can be termed searchable talk' - online talk wherepeople affiliate by making their discourse findable (for example, via metadatasuch as Twitter hashtags) by others holding similar interests. Thiscutting edge text will be of interest to all scholars and students dealing withelectronically mediated discourse.

Discourse of Twitter and Social Media: How We Use Language to Create Affiliation on the Web

This article explores how we use social media to construe identities and align with others into communities of shared values. The focus is on how ‘users of language perform their identities within ...

http://journals.sagepub.com/doi/pdf/10.1177/1750481313510816

Michele Zappavigna

Papers

Ambient affiliation: A linguistic perspective on Twitter:

Searchable talk: the linguistic functions of hashtags

Social media photography: construing subjectivity in Instagram images:

Discourse of Twitter and Social Media: How We Use Language to Create Affiliation on the Web

Enacting identity in microblogging through ambient affiliation