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Do tweets create value? A multi-period analysis of Twitter use and content of tweets for manufacturing firms

机译:推文创造价值吗?

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In this research we enquire if adoption of Twitter by manufacturing firms creates any value for the firm. We conduct two studies to examine the relationship between Twitter related activities of manufacturing firms and the market reaction towards these firms. We collect a novel multi-period dataset and analyse the overall impact of adoption of Twitter on Tobin's Q by employing a propensity score matching and difference-in-difference research design. Our findings suggest that adoption of Twitter increases the value of the firm post adoption. We also conduct additional robustness check such as use of Industry Week data as a proxy of firm value and find our results to be consistent. We adopt a text mining-based approach and examine the communication environment of the manufacturing firms. We use the Latent Dirichlet Allocation (LDA) algorithm for short texts and identify six broad topics among tweets posted by firms. Our panel regression based analysis suggests that there is positive association between divulging product related information and Tobin's Q. Our research showcases the strong impact of use of Twitter and contributes to the nascent literature on firm generated content. It is likely to encourage managers of manufacturing firms to start actively using Twitter for sharing product related information on social media.
机译:在这项研究中,我们询问制造公司采用Twitter对公司是否有任何价值。我们进行了两项研究,以检验制造企业的Twitter相关活动与对这些企业的市场反应之间的关系。我们收集了一个新颖的多周期数据集,并通过采用倾向得分匹配和差异差异研究设计来分析Twitter对Tobin Q的总体影响。我们的发现表明,采用Twitter可以提高公司采用后的价值。我们还进行了其他稳健性检查,例如使用《工业周刊》数据作为公司价值的代表,并发现我们的结果是一致的。我们采用基于文本挖掘的方法,并检查制造公司的沟通环境。我们对短文本使用潜在狄利克雷分配(LDA)算法,并在公司发布的推文中确定六个广泛的主题。我们基于面板回归的分析表明,泄露产品相关信息与Tobin's Q之间存在正相关。我们的研究展示了Twitter使用的强大影响力,并为有关公司生成内容的新生文献做出了贡献。这可能会鼓励制造企业的管理者开始积极使用Twitter在社交媒体上共享产品相关信息。

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