2020
DOI: 10.1002/joom.1087
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Does social media elevate supply chain importance? An empirical examination of supply chain glitches, Twitter reactions, and stock market returns

Abstract: We build upon supply chain management and social media research by exploring the Twitter response to supply chain glitches and how this response may moderate the relationship between supply chain glitches and stock market returns. We analyze data on 213 supply chain glitches for 150 firms across 5 years and over 2 billion tweets on publicly traded firms. Leveraging event study methodology, we find support for our hypotheses. Using both volume and sentiment of tweets, we observe significant reactions on Twitter… Show more

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Cited by 64 publications
(69 citation statements)
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“…In addition to the seven papers published in this IJOPM special issue, we are happy to see quite a few social media papers being published or accepted for publication in JOM and POM over the past few months (e.g. Schmidt et al, 2020;Yoo et al, 2020). Taken together, we hope this momentum can motivate more OM researchers to engage in this emerging research area and to advance our understanding of the social media phenomenon.…”
Section: Final Remarksmentioning
confidence: 83%
“…In addition to the seven papers published in this IJOPM special issue, we are happy to see quite a few social media papers being published or accepted for publication in JOM and POM over the past few months (e.g. Schmidt et al, 2020;Yoo et al, 2020). Taken together, we hope this momentum can motivate more OM researchers to engage in this emerging research area and to advance our understanding of the social media phenomenon.…”
Section: Final Remarksmentioning
confidence: 83%
“…However, some brands from developing countries may have been neglected (i.e., China). Third, it is not clear how social media engagement affects firm performance, as the sentiment of tweets regarding supply chain problems could affect stock market prices (Schmidt, Wuttke, Ball and Heese [15]). Such effects may also affect firms' innovation and should be investigated.…”
Section: Limitations and Future Research Directionsmentioning
confidence: 99%
“…More specifically, based on diffusion of innovations theory (DOI) and technology anxiety, we explore how the impact of JC in the automobile and transportation industry can be disseminated on social media. In this study, we collect social media engagement data from Twitter because many stakeholders share their views on new technologies on this platform [15]. Twitter has 336 million active users in 2020 (https://www.statista.…”
Section: Introductionmentioning
confidence: 99%
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