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Linguistic variation in the discourse of corporate annual reports: A multi-dimensional analysis
Discourse Studies ( IF 1.871 ) Pub Date : 2020-06-12 , DOI: 10.1177/1461445620928231
Han Bu 1 , Jeffrey Connor-Linton 2 , Lifei Wang 3
Affiliation  

Combining the frameworks of multi-dimensional (MD) analysis and rhetorical structure theory (RST), this study examines the linguistic co-occurrence patterns in the discourse of corporate annual reports (CARs) and interprets their underlying functional dimensions. Our corpus consists of texts of corporate 10K reports from firms listed on New York Stock Exchange (NYSE; N of texts = 642, totally 14,674,047 tokens). Five functional dimensions are quantitatively extracted and qualitatively interpreted: (1) expression of direct persuasion; (2) expression of impersonal stance; (3) subjective versus objective positioning; (4) integrative expression of stance versus fragmented expression; and (5) expression of reliability. All these dimensions contribute to the communicative function of persuasion. The analysis of the rhetorical structures of excerpts with high concentrations of co-occurring linguistic features on each dimension further indicates the communicative strategy of persuasion. The proposed MD model is then applied to analyze the effect of firm performance on the linguistic variation in CAR discourse. We found that firm performance can significantly affect the linguistic variation in CAR discourse. CAR discourse from firms with good performance is more reliable. The result reveals managements’ use of concealment strategy in impression management. This study has implications for MD analysis, business discourse analysis, language pedagogy and accounting research.

中文翻译:

企业年报话语中的语言变异:多维分析

本研究结合多维 (MD) 分析和修辞结构理论 (RST) 的框架,研究了公司年报 (CAR) 话语中的语言共现模式,并解释了其潜在的功能维度。我们的语料库包含来自纽约证券交易所(纽约证券交易所;文本数 = 642,总共 14,674,047 个代币)上市公司的公司 10K 报告文本。五个功能维度被定量提取和定性解释:(1)直接说服的表达;(2) 客观立场的表达;(3) 主观与客观定位;(4)立场的整合表达与片段表达;(5) 可靠性的表达。所有这些维度都有助于说服的交际功能。对每个维度上高度集中的共现语言特征的节选修辞结构的分析进一步表明了说服的交际策略。然后应用所提出的 MD 模型来分析公司绩效对 CAR 话语中语言变化的影响。我们发现公司绩效可以显着影响 CAR 话语中的语言变化。来自表现良好的公司的 CAR 话语更可靠。结果揭示了管理层在印象管理中使用隐藏策略。这项研究对 MD 分析、商业话语分析、语言教学法和会计研究都有影响。然后应用所提出的 MD 模型来分析公司绩效对 CAR 话语中语言变化的影响。我们发现公司绩效可以显着影响 CAR 话语中的语言变化。来自表现良好的公司的 CAR 话语更可靠。结果揭示了管理层在印象管理中使用隐藏策略。这项研究对 MD 分析、商业话语分析、语言教学法和会计研究都有影响。然后应用所提出的 MD 模型来分析公司绩效对 CAR 话语中语言变化的影响。我们发现公司绩效可以显着影响 CAR 话语中的语言变化。来自表现良好的公司的 CAR 话语更可靠。结果揭示了管理层在印象管理中使用隐藏策略。这项研究对 MD 分析、商业话语分析、语言教学法和会计研究都有影响。
更新日期:2020-06-12
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