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Chapter 4: The Search Engine Industry

机译：第4章：搜索引擎行业

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In this chapter we present the main trends in the search engine industry. Being such industry technology based, its dynamics can be assessed by applying theories such as (a) dominant design, (b) complementary assets, (c) product and service architecture and (d) disruptive technologies. We dedicate the first section of this chapter to reviewing such literature and explaining how to apply it to identify trends in the search engine industry competition. As preliminary result we position the search engine industry among those that are probably entering in a new fluid phase. In this industry the Google architecture already emerged as dominant design, but after 2005 many new players entered the market (e.g. Cuil, Kosmix, Powerset, Wolfram Alpha, Bing) and most of them are not following the dominant design but are really trying to propose something radically new. Then, we present the data gathering tool we build to use analyze a sample of 26 search engines. In particular, we describe the dimensions, relevant to study the search engine industry, and the metrics for measuring the features of different search engines along those dimensions. We consider three types of metrics: (a) user based - what the user can perceive and act upon; (b) machinery related - what the search engine does internally; and (c) business model oriented - what makes the business profitable. Then we analyze the data using three methods: principal component analysis, two steps cluster analysis, and post hoc analysis on the business models categorization. We close the chapter discussing the results of our analysis.
机译：在本章中，我们介绍了搜索引擎行业的主要趋势。基于这种行业技术，可以通过应用以下理论来评估其动态性：（a）主导设计，（b）互补资产，（c）产品和服务架构以及（d）破坏性技术。我们将在本章的第一部分专门介绍这些文献，并说明如何将其用于识别搜索引擎行业竞争中的趋势。作为初步结果，我们将搜索引擎行业定位在可能进入新的流动阶段的行业中。在这个行业中，Google体系结构已经成为主导设计，但是在2005年之后，许多新公司进入了市场（例如Cuil，Kosmix，Powerset，Wolfram Alpha，Bing），其中大多数并未遵循主导设计，但实际上是在尝试提出全新的东西。然后，我们介绍构建用来分析26个搜索引擎样本的数据收集工具。特别是，我们描述了与研究搜索引擎行业相关的维度，以及用于沿这些维度衡量不同搜索引擎功能的指标。我们考虑三种类型的指标：（a）基于用户-用户可以感知并采取的行动； （b）与机械有关的–搜索引擎在内部做什么； （c）面向商业模式-是什么使企业盈利。然后，我们使用三种方法对数据进行分析：主成分分析，两步聚类分析和业务模型分类的事后分析。我们将在本章结尾处讨论分析结果。

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