On developing indicators with text analytics: exploring concept vectors applied to English and Chinese texts

Kimbrough, Steven O.; Chou, Christine; Chen, Yi-Ting; Lin, Hilary

doi:10.1007/s10257-013-0228-x

Cited by 8 publications

(12 citation statements)

References 33 publications

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“…As a robust test, this research additionally used the words proposed by March [69] to measure innovativeness to calculate responsible innovation in an alternative manner. March [69] has proposed two means of organization learning, which have been used as indicators of exploitative or exploratory innovation [55]. Whereas exploitative innovation includes exploit*, refine*, choice*, production*, efficien*, select*, implement*, and execut*, exploration innovation includes explor*, search*, variation*, risk*, experiment*, play*, flexib*, discover*, and innovat*.…”

Section: Resultsmentioning

confidence: 99%

“…Given the research questions, this study was limited, by current standards, to small corpora (hundreds of documents rather than hundreds of thousands or millions). The questions addressed are how to best address the situation and whether we can learn something useful from it [55]. Third, one element of the dependent variable includes innovation, whose definition has widely adopted the criteria of the OECD [56] to classify a firm as innovative if it introduced the following: (1) a new or substantially improved product in the last 3 years (product innovation) or (2) a new or substantially improved production process through new equipment or reengineering in the last 3 years (process innovation) [57].…”

Section: Samplementioning

confidence: 99%

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Organizational Orientations, Industrial Category, and Responsible Innovation

Chou

2018

Sustainability

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This paper explores the foundations of firms' involvement in responsible innovation. A number of hypotheses appearing in the literature, regarding the direct effect of strategic orientations and the moderating effect of industrial category on responsible innovation engagement, were tested by using text analytics and statistical methods. The data comprise 475 documents of firms' annual reports with a total word count of 192,179,794 and a mean of 404,589, supplemented with corresponding financial data, yielding 372 firm-year observations. The results show that long-term orientation and organizational virtue orientation are positively associated with responsible innovation, while profitability orientation is negatively correlated. The results also show that industrial category moderates the relationship between strategic orientations and responsible innovation engagement, such that the positive relationship between both long-term and organizational virtue orientation and responsible innovation is weaker in the industrial products category than in the consumer products category. The theoretical and practical implications are discussed.

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Section: Resultsmentioning

confidence: 99%

Section: Samplementioning

confidence: 99%

Organizational Orientations, Industrial Category, and Responsible Innovation

Chou

2018

Sustainability

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“…All of these components are described in detail in the following. Kimbrough et al (2013) point out two methods for the creation of a vocabulary, called the ex-post and the ex-ante approach. Applied to our context, the ex-post approach would mean learning from a collection of text documents which words are most effective at predicting a firm's implementation of a service innovation capability.…”

Section: Design Of An Analytical Assessment Approach Using Text Docummentioning

confidence: 99%

“…The matching of entities to classifications using text documents associated with them has been termed EMCUT, for 'entity matching [to] classification [schemes] using text' (Kimbrough et al, 2013). In their work, Kimbrough et al indicate three ways to address EMCUT problems: Content analysis, a novel technique called the 'external approach', and machine learning.…”

Section: Matching Algorithm: Text Mining Approach Emcutmentioning

confidence: 99%

“…The remaining two components of our approach, the acquisition of a collection of text documents associated with service firms ("III" in Figure 4), and an externally available classification for the same set of firms ("IV" in Figure 4), are interdependent, and are consequently described jointly below. Document acquisition and the selection of an external classification were done in cooperation with Kimbrough et al (2013), as both studies require the same kind of input data.…”

Section: Document Acquisition and Externally Available Classificationmentioning

confidence: 99%

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Service Innovation Analytics

Kohler

Feldmann

Kimbrough

et al. 2014

International Journal of Information System Modeling and Design

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The importance of innovation for firms for gaining competitive advantage has been widely acknowledged. Innovation in services exhibits some particular challenges. In order to support formal service innovation management, several frameworks of capabilities for service innovation have been published in recent years. However, these frameworks often do not support the use of existing information to apply them to a firm's context and to guide managerial decisions. In this paper the authors aim to show that a firm's service innovation capability can be operationally diagnosed with the help of such a framework in a more concrete way, using existing unstructured data. Building on established methods in text mining, the authors are working towards an approach to realise this. The paper outlines the approach and presents the encouraging results from our exploratory study, as well as avenues for further development of the approach and its implementation in a management information system.

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What do firms say in reporting on impacts of climate change? An approach to monitoring ESG actions and environmental policy

Chou

Clark

Kimbrough

2023

Corp Soc Responsibility Env

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This article focuses on two research questions arising from the 2010 U.S. Securities and Exchange Commission (SEC) Advisory on climate change reporting: (1) How does the discussion of climate change in SEC filings change after the Advisory? and (2) What are firms talking about when they talk about climate change? Findings were obtained from the 218,000 10‐K filings to the SEC during the 2000–2019 period. The study develops and applies text mining methodology based on extracting information from the “semantic associates” in the “neighborhoods” of indicative terms. On (1) it finds that climate change‐related reporting does increase substantially after the SEC guidance. On (2) a nuanced picture emerges. Firms with comparatively larger transition risks tend to discuss climate change comparatively more, focusing on regulation‐related topics. Firms exposed to the physical risks of climate change tend to discuss climate change somewhat less, focusing on meteorological topics. The results enrich our understanding regarding environmental policies and firms' behaviors regarding climate change. Theoretical and practical implications are provided.

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On developing indicators with text analytics: exploring concept vectors applied to English and Chinese texts

Cited by 8 publications

References 33 publications

Organizational Orientations, Industrial Category, and Responsible Innovation

Organizational Orientations, Industrial Category, and Responsible Innovation

Service Innovation Analytics

What do firms say in reporting on impacts of climate change? An approach to monitoring ESG actions and environmental policy

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