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A.I. Text Analysis

A project by IMD’s Center for Future Readiness

A.I. Text Analysis

A project by IMD’s Center for Future Readiness

How does artificial intelligence help us understand companies better than ever before?

Artificial intelligence (AI) enables us to gain deeper insights into companies by analyzing textual information, uncovering patterns in language style, and capturing nuanced discussions around specific topics. AI-driven methodologies allow us to explore not just what executives or media say about companies, but how they say it, and with what intensity. Specifically, we use advanced AI techniques to perform two distinct types of analysis—style-based analysis and subject-based analysis— leveraging textual data from two primary sources: over 70 major news sources and earnings calls transcripts. 

We employ two specialized AI algorithms designed for these analyses: Augmented co-occurence and Textual Entailment

Augmented Co-Occurence

Augmented Co-Occurence builds upon traditional linguistic analysis methods such as the Linguistic Inquiry and Word Count (LIWC) framework. 

Specifically, Augmented Co-Occurence employs predefined dictionaries consisting of individual words, sequences of words, or pattern-based expressions (similar to regular expressions) derived from peer-reviewed academic specifications. These dictionaries capture psychological, linguistic, and strategic constructs based on their relative frequencies within texts. 

However, unlike traditional LIWC, our Augmented Co-Occurence incorporates advanced NLP techniques including: 

  • Coreference Resolution: Utilizing transformer-based models to accurately replace pronouns and ambiguous references with explicit company names. 
  • Negation Detection: Identifying and interpreting negations within text, ensuring precise measurement of constructs (for example, distinguishing between a positive trait like “fast-moving” and a negative formulation such as “not fast-moving”). 

Textual Entailment

Textual Entailment leverages a sophisticated Natural Language Processing (NLP) technique that evaluates whether a given piece of text logically supports predefined hypotheses. By analyzing textual data at the sentence level, this method allows us to explore both the linguistic style used by executives (through earnings call transcripts) and the subjects discussed in both executive communications and external news articles, along with their intensity. 

Specifically, we define precise hypotheses aligned with distinct strategic and personality traits, as summarized in Fact Sheet below. 

By computing sentence-level entailment probabilities, we aggregate these results into company-level metrics that quantify the intensity of each style (in executive transcripts) or subject (in both executive transcripts and news articles). This approach facilitates nuanced comparisons across companies, highlighting differences in leadership style based on internal executive communications and highlights strategic focus based on both internal and external textual sources. 

By computing sentence-level entailment probabilities, we aggregate these results into company-level metrics that quantify the intensity each style or subject. This allows for nuanced comparisons of company style of leadership as well as company focus. 

Fact Sheet
Decision Speed
What is Decision Speed?

Decision speed, also known as regulatory mode locomotion is a cognitive and behavioral orientation that describes a proactive and action-oriented mindset. It is based on regulatory mode theory, which focuses on two primary modes of regulation: locomotion and assessment. Companies with a locomotion-oriented regulatory mode exhibit traits such as decisiveness, self-confidence, and persistence. They actively engage with their environment, embrace change, and take risks to overcome obstacles and accomplish objectives.

What type of language is associated with decision speed?

Companies high in decision speed are often mentioned in connection with words like fast, dynamic, motion, change, etc. This also includes variations of the words, like the corresponding nouns. 

Which type of scholarly literature investigates decision speed?

Our conceptualization and use of decision speed, aka regulatory mode locomotion stems from Higgins, Kruglanski, Pierro (2003). In their influential paper, they provided compelling evidence highlighting the contrasting management styles associated with locomotion and assessment orientations. The locomotion orientation is marked by a keen emphasis on goal pursuit, progress, and forward movement. 

Exploration
How do companies explore?

Companies explore by identifying new opportunities. This refers to “processes of concerted variation, planned experimentation, and play”. The innovation activity focuses on technological innovation aimed at entering new product-market domains. (Baum, Li, and Usher, 2000; Benner and Tushman, 2002; He and Wong, 2004). Exploring is the opposite construct to exploiting.

Which type of language is associated with exploring?

Companies high in exploration are often mentioned in connection with words like searching, risk-seeking, exploring, flexibility, experimentation, discover, playing, etc. This also includes variation of the words, like corresponding nouns.

Which type of scholarly literature investigates exploration?

The most prominent literature that focuses on exploration discusses the so-called exploration-exploitation dilemma, which states that companies struggle to face an inherent trade-off of exploitation and exploration. As such, only “ambidextrous” organizations, which are rare, manage to overcome that hurdle (O’Reilly & Tushman: The ambidextrous organization, 2004; O’Reilly & Tushman: Ambidexterity as a dynamic capability, 2008)

Exploitation
How do companies exploit?

Companies which focus on exploiting “seize existing opportunities”, and focus on processes of “local search, experiential refinement, and selection and reuse of existing routines”. These companies’ activity focuses on “improving existing product-market domains” (Uotila et al., 2009; Allison, McKenny, & Short, 2014; March, 1991; Raisch & Birkinshaw, 2008; Baum, Li, and Usher, 2000; Gupta, Smith, and Shalley, 2006). Exploiting is the opposing construct to exploring.

 

Which type of language is associated with exploiting?

Companies high in exploitation are often mentioned in connection with words like refining, choosing, exploiting, production, efficiency, selection, implementation, execution, etc. This also includes variations of the words, like the corresponding nouns.

 

Which type of scholarly literature investigates exploitation?

The most prominent literature that focuses on exploitation discusses the so-called exploration-exploitation dilemma, which states that companies struggle to face an inherent trade-off of exploitation and exploration. As such, only “ambidextrous” organizations, which are rare, manage to overcome that hurdle (O’Reilly & Tushman: The ambidextrous organization, 2004; O’Reilly & Tushman: Ambidexterity as a dynamic capability, 2008)

 

Learning Orientation
What is learning orientation?

Learning orientation is a behavior derived from the literature on organizational learning and describes the motivation, ability, and executional quality of learning in an organization. Learning orientation concerns the whole organization and not only individuals. It also measures the dissemination of the relevant organizational knowledge throughout the organization.

Which type of language is associated with learning orientation?

Companies high in learning orientation are often mentioned in connection with words like analyse, evaluate, discuss, exchange, fail, identify, interpret, induce, infer, learn. This also includes variations of the words, like the corresponding nouns.

 

Which type of scholarly literature investigates learning orientation?

Many management scholars have researched organizational learning orientation. For example, Calantone, Cavusgil, and Zhao (2002) investigated the link between learning orientation, firm innovation capability, and firm performance. They find that learning orientation is a key factor to organizational competitive advantage. Further, Sujan, Harish, Weitz, and Kumar (1994) find that learning orientation is important for effective marketing and sales staff. Finally, Baker and Sinkula (1999) suggest that learning orientation and market orientation contribute to good organizational performance.

 

Digital Orientation
What is digital orientation?

Digital orientation is an organization’s guiding principle to pursue digital technology-enabled opportunities to achieve competitive advantage. It encompasses the dimensions of digital technology scope, digital capabilities, digital ecosystem coordination, and digital architecture configuration.

 

Which type of language is associated with digital orientation?

Companies high in digital orientation are often mentioned in connection with words from the four dimensions mentioned above. These include algorithm, compute, API, developer, digital, functionality, IoT, open source, virtual, etc. This also includes variations of the words, like the corresponding nouns.

 

Which literature discusses the construct?

Our conceptualization and use of digital orientation stems from Kindermann et al. (2020), who are the first scholars to propose a digital dictionary for automated textual analysis. These scholars conceptualize digital orientation as a distinct type of strategic orientation, i.e., an orientation which “reflects the firm’s philosophy of how to conduct business through a deeply rooted set of values and beliefs that guides the firm’s attempt to achieve superior performance (Gatignon & Xuereb, 1997)”.