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Full-Text Articles in Business
Using The Theory Of Emotional Stakeholders To Experimentally Test The Influence Of Proxy Communicators About Organizational Crises In Digital News Reports, Alicia Mason, Elizabeth Spencer, Kelley Macek, Alison Smith, Stephanie Potter
Using The Theory Of Emotional Stakeholders To Experimentally Test The Influence Of Proxy Communicators About Organizational Crises In Digital News Reports, Alicia Mason, Elizabeth Spencer, Kelley Macek, Alison Smith, Stephanie Potter
Faculty Submissions
The emergence of new and social media has transformed the way that stakeholders and organizations interact between and amongst each other. Online news consumers are now able to directly respond to crisis news reports by offering their own interpretation, thus expanding the diversity of viewpoints audiences are exposed to (Carpenter, 2010; Springer, 2014). Using the Theory of Emotional Stakeholders framework our study aims (1) to understand how positive and negative user-generated comments in response to online news reports of crisis events impacts audience perceptions of organizational blame; (2) to examine the persuasive effects of user comments when expert or official …
Evolution Of Corporate Reputation During An Evolving Controversy, Siyoung Chung, Mark Chong, Jie Sheng Chua, Ji Cheon Na
Evolution Of Corporate Reputation During An Evolving Controversy, Siyoung Chung, Mark Chong, Jie Sheng Chua, Ji Cheon Na
Research Collection Lee Kong Chian School Of Business
Purpose: The purpose of this paper is to investigate the evolution of online sentiments toward a company (i.e. Chipotle) during a crisis, and the effects of corporate apology on those sentiments. Design/methodology/approach: Using a very large data set of tweets (i.e. over 2.6m) about Company A’s food poisoning case (2015–2016). This case was selected because it is widely known, drew attention from various stakeholders and had many dynamics (e.g. multiple outbreaks, and across different locations). This study employed a supervised machine learning approach. Its sentiment polarity classification and relevance classification consisted of five steps: sampling, labeling, tokenization, augmentation of semantic …