Measuring dynamic capabilities in new ventures: exploring strategic change in US green goods manufacturing using website data
Measuring dynamic capabilities in new ventures: exploring strategic change in US green goods manufacturing using website data
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DOI：
10.1007/s10961-019-09751-y
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发表时间：
2020-10-01
影响因子：
4.8
通讯作者：
Shapira, Philip
中科院分区：
文献类型：
--
作者：
Arora, Sanjay K.;Li, Yin;Shapira, Philip
创业奖学金表明，一个小公司的成长能力是其感知和应对市场变化以及公司产品和服务的更广泛环境的能力的函数。然而，由于传统来源提供的数据有限、调查答复率低以及小组人员自然流失，往往阻碍了大规模制定详细的内部能力衡量标准。新的信息来源的出现，包括从公司在线活动中获得的大数据集，加上先进的计算方法，带来了新的分析可能性。在这项探索性研究中，我们转向免费访问的网站数据来衡量内部能力，特别是市场感知和响应。为了使抓住的结构可操作化，本文使用了主题建模的应用程序，一种计算机科学中常用的文本挖掘方法，在2008-2009年和2010-2011年两个时间段的Wayback Machine存档网站数据上，解释了绿色商品企业在2010年至2012年两个较晚时间段的销售增长。研究发现，市场抢占与销售增长之间存在内生的倒U型关系。对公司所在地区的关注程度的提高也预示着销售额的增长。我们认为，这些研究结果在光的从业者文献公司的敏捷性和旋转，并讨论未来的工作机会，使用网站数据来研究创业和创新的战略管理。
Entrepreneurial scholarship suggests that a small firm's ability to grow is a function of its capacity to sense and respond to changes in the market as well as the broader environment for the firm's goods and services. Developing detailed measures of internal capabilities at a large scale, however, is often hampered by limitations in the availability of data from conventional sources, low survey response rates and panel attrition. The emergence of new information sources, including big data sets derived from the online activities of firms, coupled with advanced computational approaches, raises fresh analytical possibilities. In this exploratory study, we turn to freely accessible website data to gauge internal capabilities, specifically for market sensing and responding. To operationalize the construct of seizing, the paper uses an application of topic modeling, a text mining approach commonly used in computer science, on archived website data from the Wayback Machine for two time periods, 2008-2009 and 2010-2011, to explain sales growth for green goods enterprises in two later time periods, from 2010 to 2012. We find an endogenous inverse U-shaped relationship exists between market seizing and sales growth. Increasing levels of focus on a firm's local geographic area also predict sales growth. We consider these findings in light of the practitioner literature on firm agility and pivoting and discuss opportunities for future work using website data to study entrepreneurship and the strategic management of innovation.