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The analytics paradigm in business research

机译：商业研究中的分析范式

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摘要

The availability of data in massive collections in recent past not only has enabled data-driven decision-making, but also has created new questions that cannot be addressed effectively with the traditional statistical analysis methods. The traditional scientific research not only has prevented business scholars from working on emerging problems with big and rich data-sets, but also has resulted in irrelevant theory and questionable conclusions; mostly because the traditional method has mainly focused on modeling and analysis/explanation than on the real/practical problem and the data. We believe the lack of due attention to the analytics paradigm can to some extent be attributed to the business scholars' unfamiliarity with the analytics methods/methodologies and the type of questions it can answer. Therefore, our purpose in this paper is to illustrate how analytics, as a complement, rather than a successor, to the traditional research paradigm, can be used to address interesting emerging business research questions.
机译：最近大量数据的可用性不仅使数据驱动的决策成为可能，而且还提出了新的问题，而传统的统计分析方法无法有效地解决这些问题。传统的科学研究不仅使商业学者无法研究具有大量数据的新兴问题，而且导致了不相关的理论和可疑的结论。主要是因为传统方法主要关注建模和分析/解释，而不是实际/实际问题和数据。我们认为，对分析范式缺乏适当的关注可以在一定程度上归因于商业学者对分析方法/方法及其所能回答的问题类型的不熟悉。因此，本文的目的是说明如何将分析作为对传统研究范式的补充而非后继，用于解决有趣的新兴商业研究问题。

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