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This paper investigates how two characteristics of language, abstractness vs concreteness and narrativity, influence user engagement in communication exercises on innovation targeted to the general audience. The proposed conceptual model suggests that innovation fits well with more abstract language because of the association of innovation with imagination and distal construal. Moreover, communication of innovation may benefit from greater adherence to the narrativity arc, that is, early staging, increasing plot progression and climax optimal point. These effects are moderated by content variety and emotional tone, respectively.

Based on a Latent Dirichlet allocation (LDA) application on a sample of 3225 TED Talks transcripts, the authors identify 287 TED Talks on innovation, and then applied econometric analyses to test the hypotheses on the effects of abstractness vs concreteness and narrativity on engagement, and on the moderation effects of content variety and emotional tone.

The authors found that abstractness (vs concreteness) and narrativity have positive effects on engagement. These two effects are stronger with higher content variety and more positive emotional tone, respectively.

This paper extends the literature on communication of innovation, linguistics and text analysis by evaluating the roles of abstractness vs concreteness and narrativity in shaping appreciation of innovation.

This paper reports conceptual and empirical analyses on innovation dissemination through a popular medium – TED Talks – and applies modern text analysis algorithms to test hypotheses on the effects of two pivotal dimensions of language on user engagement.

In 1983 Ted Leonsis survived a crash landing of a plane he was on.This fateful event proved to be a pivotal point in his life. One of the byproducts of that near-death experiences is Leonsisʼ list of 101 things to do before he died‐a “bucket list” before the movie of that title came out. Leonsis has managed to accomplish more than two-thirds of the things on his list including owning a sports franchise (the Washington Capitals), changing someoneʼs life via a charity, sailing the Caribbean, and being on the cover of a magazine. As impressive as these accomplishments are, they do not reveal the person underneath these accomplishments or what has driven this serial entrepreneur. In previous interviews appearing in NEJE, we have explored how a personʼs faith tradition impacts how they run and manage their businesses. In this interview Leonsis reveals how his life was shaped by both his early childhood and the transformational experience of a crash landing. This interview examines not only what drove Leonsis to success, but also why he feels failure is important. Along, the way he offers his perspective on corporate social responsibility and why it is so critical for individuals and companies to give back to society. And finally, Leonsis shares what he has learned about the secret to happiness.

The purpose of this paper is to explain how an organization can achieve successful change implementation with Kotter’s eight-step organizational change model and 3-H (heart–head–hand) theory.

With the case study approach, the author recollects his career experience in Hong Kong Broadband Network Limited from 2007 to 2011 to find out why and how the top management can balance 3-H factor to bridge the “knowing” and “doing” gap to engage right talents and motivate them to achieve peak performance and company goal.

To create talent culture, the company implemented two policies including Mini-CEO management and Talent Engagement Department. The former is a vertical management model to empower and enable department heads. The latter is a way to change the role of human resources department from passive to proactive.

The implications of this case study are to encourage public and private organizations to rethink the factors including talent development and empowerment that can have a positive impact on innovative work behavior. Moreover, organizations can rediscover the value of “unique” talent culture as a sustainable competitive advantage.

Recently, more data-driven approaches are demanding multilingual parallel resources primarily in the cross-language studies. To meet these demands, building multilingual parallel corpora are becoming the focus of many Natural Language Processing (NLP) scientific groups. Unlike monolingual corpora, the number of available multilingual parallel corpora is limited. In this paper, the MulTed, a corpus of subtitles extracted from TEDx talks is introduced. It is multilingual, Part of Speech (PoS) tagged, and bilingually sentence-aligned with English as a pivot language. This corpus is designed for many NLP applications, where the sentence-alignment, the PoS tagging, and the size of corpora are influential such as statistical machine translation, language recognition, and bilingual dictionary generation. Currently, the corpus has subtitles that cover 1100 talks available in over 100 languages. The subtitles are classified based on a variety of topics such as Business, Education, and Sport. Regarding the PoS tagging, the Treetagger, a language-independent PoS tagger, is used; then, to make the PoS tagging maximally useful, a mapping process to a universal common tagset is performed. Finally, we believe that making the MulTed corpus available for a public use can be a significant contribution to the literature of NLP and corpus linguistics, especially for under-resourced languages.