The Application of DICTION to Content Analysis Research in Strategic Management

Short, Jeremy C.; Palmer, Timothy B.

doi:10.1177/1094428107304534

Cited by 208 publications

(196 citation statements)

References 68 publications

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“…It is a widely acknowledged tool for generating results which are very reliable, and significantly reduces speed and cost that would have been incurred if coding was done by humans (Rosenberg et al 1990). DICTION is used in strategic management research for analyzing textual content like mission statements, CEO interviews, annual reports, leadership speeches, and any other textual/narrative data that are important indicators of the strategic intent of organizations/enterprises/bodies (Shor and Palmer 2008). The software had undergone rich development process, based on linguistic theory, and the variables which demonstrate language tonalities are designed considering all words and expressions present in the English language.…”

Section: Methodsmentioning

confidence: 99%

“…While multiple factors would be instrumental in the growth and governance of these enterprises, be social enterprises or corporate enterprises, one of the factors is strategic positioning and governance. Mission statements are essential narratives which publicly communicate the purpose of the organization, its positioning in the sector, and the governance of the same (Shor and Palmer 2008). Understanding the relationship between mission statements and good governance, and exploring the components constructing mission statements is currently an area of concern and enquiry globally (Gill 2005).…”

Section: Introductionmentioning

confidence: 99%

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Comparing mission statements of social enterprises and corporate enterprises in the new and renewable energy sector of India: a computer aided content analysis study

Sengupta

Sahay

2017

J Glob Entrepr Res

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This paper aims to explore how differently corporate enterprises and social enterprises strategically position themselves through their mission statements. The most notable distinctions between the mission statements of both groups exist in the degree of action orientation, endorsements of people/groups, and the highlights of positive entailment. The new and renewable energy sector is playing a key role in the emergence of India as an environmentally conscious emerging economy. The enterprises instrumental in this change are both social and corporate enterprises. While technology is important, a key factor to success is strategic approach. The vision and mission statements are strategically crafted by organizations to position themselves in the industry. This motivated the authors to carry out a comparative analysis of the mission statements of social and corporate enterprises to learn about the existing differences. Efforts were employed to quantify the narrative style and tonality of mission statements by applying DICTION software. This process generated values for the 'master variables' and 'calculated variables' in mission statements. Content analysis revealed that while a significant number of enterprises scored zero for the calculated variable 'insistence', only a few had scores within range. Most enterprises scored considerably well in the master variable 'activity'. In 'optimism' social and corporate enterprises show some noticeable differences in their purpose, which reflect how different these organizations are. This content analysis succeeds in reflecting where the social and corporate enterprises in India's renewable energy sector differ in their strategic intent. While in renewable energy social enterprises there is a domination of reference to beneficiaries/communities in their mission statements, and the positive entailments in terms of social change; renewable energy corporate enterprises seem to have a stronger intent to focus on issues related to technology, innovation, efficiency, and cost-leadership. Thus, this paper not only adds to establishing the fact that mission statements do play an important role in reflecting the strategic purpose of the organization, but adds to the arguments on the difference between social and commercial entrepreneurship.

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Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Comparing mission statements of social enterprises and corporate enterprises in the new and renewable energy sector of India: a computer aided content analysis study

Sengupta

Sahay

2017

J Glob Entrepr Res

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“…It is used as strategic discourses by leader's communitarian characterizations in organizations such as joint ventures. Commonality shows leader's plain and depersonalized style and implements a perception that the leader can collaborate with any organization [151,158]. By suggesting that the employees are all common members of a single community [159], the employees can expect that sustainability performance will not benefit only a few organizations but allocated fairly.…”

Section: Ceo Letter In Sustainability Report Rhetoricmentioning

confidence: 99%

“…Since DICTION conducts analysis based on preset rules, it can minimize researcher subjectivity and biases. This methodology is also highly useful for strategic management research, as it can relate the narratives of executive management, the organization's strategic direction, and performance by means of analysis [151].…”

Section: Convenience and Usefulness Of Leximancer And Dictionmentioning

confidence: 99%

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Sustainable Supply Chain Based on News Articles and Sustainability Reports: Text Mining with Leximancer and DICTION

Kim

2017

Sustainability

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Abstract:The purpose of this research is to explore sustainable supply chain management (SSCM) trends, and firms' strategic positioning and execution with regard to sustainability in the textile and apparel industry based on news articles and sustainability reports. Further analysis of the rhetoric in Chief executive officer (CEO) letters within sustainability reports is used to determine firms' resoluteness, positive entailments, sharing of values, perception of reality, and sustainability strategy and execution feasibility. Computer-based content analysis is used for this research: Leximancer is applied for text analysis, while dictionary-based text mining program DICTION and SPSS are used for rhetorical analysis. Overall, contents similar to the literature on environmental, social, and economic aspects of the triple bottom line (TBL) are observed, however, topics such as regulation, green incentives, and international standards are not readily observed. Furthmore, ethical issues, sustainable production, quality, and customer roles are emphasized in texts analyzed. The CEO letter analysis indicates that listed firms show relatively low realism and high commonality, while North American firms exhibit relatively high commonality, and Europe firms show relatively high realism. The results will serve as a baseline for providing academia guidelines in SSCM research, and provide an opportunity for businesses to complement their sustainability strategies and executions.

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Data mining emotion in social network communication: Gender differences in MySpace

Thelwall

Wilkinson

Uppal

2009

J. Am. Soc. Inf. Sci.

263

168

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Despite the rapid growth in social network sites and in data mining for emotion (sentiment analysis), little research has tied the two together, and none has had social science goals. This article examines the extent to which emotion is present in MySpace comments, using a combination of data mining and content analysis, and exploring age and gender. A random sample of 819 public comments to or from U.S. users was manually classified for strength of positive and negative emotion. Two thirds of the comments expressed positive emotion, but a minority (20%) contained negative emotion, confirming that MySpace is an extraordinarily emotion-rich environment. Females are likely to give and receive more positive comments than are males, but there is no difference for negative comments. It is thus possible that females are more successful social network site users partly because of their greater ability to textually harness positive affect.

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The Application of DICTION to Content Analysis Research in Strategic Management

Cited by 208 publications

References 68 publications

Comparing mission statements of social enterprises and corporate enterprises in the new and renewable energy sector of India: a computer aided content analysis study

Comparing mission statements of social enterprises and corporate enterprises in the new and renewable energy sector of India: a computer aided content analysis study

Sustainable Supply Chain Based on News Articles and Sustainability Reports: Text Mining with Leximancer and DICTION

Data mining emotion in social network communication: Gender differences in MySpace

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