To talk or not?: An analysis of firm-initiated social media communication's impact on firm value preservation during a massive disruption across multiple firms and industries
Corresponding Author
Ravi Srinivasan
Department of Information Systems, Law and Operations, Loyola University Maryland, Baltimore, Maryland
Correspondence
Ravi Srinivasan, Department of Information Systems and Operations Management, Loyola University Maryland, 4501 N. Charles St., Baltimore, MD 21202.
Email: [email protected]
Search for more papers by this authorAshish Kumar Jha
Trinity Business School, Trinity College Dublin, College Green, Dublin, 2 Ireland.
Search for more papers by this authorNishant Kumar Verma
Department of Production and Operations Management, Indian Institute of Management Bangalore, Bengaluru, Karnataka, India
Search for more papers by this authorCorresponding Author
Ravi Srinivasan
Department of Information Systems, Law and Operations, Loyola University Maryland, Baltimore, Maryland
Correspondence
Ravi Srinivasan, Department of Information Systems and Operations Management, Loyola University Maryland, 4501 N. Charles St., Baltimore, MD 21202.
Email: [email protected]
Search for more papers by this authorAshish Kumar Jha
Trinity Business School, Trinity College Dublin, College Green, Dublin, 2 Ireland.
Search for more papers by this authorNishant Kumar Verma
Department of Production and Operations Management, Indian Institute of Management Bangalore, Bengaluru, Karnataka, India
Search for more papers by this author[Correction added on May 12, 2022 after first Online publication: Email ID added for author Nishant Kumar Verma].
Abstract
We examine the role of firm-initiated social media communication using Twitter in mitigating the negative impact of large-scale disruptions, such as the Covid-19 pandemic, on the shareholder value of firms. We develop our hypotheses using signaling theory and test them using data collected from Twitter and Bloomberg®. Our data set consists of 121,988 firm-generated tweets from 467 S&P 500 firms collected in March 2020 at the time of the lockdown announcement in the United States. We find that frequent and relevant communication reduces latency and increases the observability of messages, preserving a firm's shareholder value. We also find that a positive outlook and extent of interest from stakeholders results in preserving shareholder value. On average, firms lost about 1.08% of their market value per day (about 9.72% during the 9-day period around the lockdown announcement). Our study contributes to the extant literature in three ways: (1) adds to the literature on disruptions–shareholder value by considering large-scale disruptions such as the Covid-19 pandemic, (2) highlights informational and communication elements of risk management strategy, and (3) adds to the growing body of literature on Twitter by considering firm-generated tweets. The results of our study are of importance to managers as well. For instance, firms tweeted about 57 times per week, and each additional tweet could preserve about $5.85 million of a firm's market valuation, on average. Also, it is not enough that the firms took appropriate actions during a large-scale disruption; they also need to communicate their actions and its implications to their stakeholders effectively. These results can help managers devise their Twitter communication strategy during large-scale disruptions.
Supporting Information
Filename | Description |
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deci12563-sup-0001-SupMat.docx170.8 KB |
TABLE A1 OM/SCM studies using signaling theory TABLE B1 Abnormal returns and its significances for multiple event windows TABLE C1 Keywords used for identifying relevant tweets for the topics of Covid-19 and supply chain TABLE C2 Endogeneity test using 2SLS TABLE C3 Alternate event dates and event windows: Fama–French–Carhart 4 factor model TABLE C4 Sample tweets corresponding to the measures FIGURE C5 Google trends for Covid-19 search term TABLE C6 Confounding events associated with the lockdown event |
Please note: The publisher is not responsible for the content or functionality of any supporting information supplied by the authors. Any queries (other than missing content) should be directed to the corresponding author for the article.
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