An Empirical Model for the Effects of Big Data Analytics Use Based on Theory of Sensemaking

DOI

Bibliographic Information

Other Title
  • センスメイキング理論に基づくビッグデータアナリティクス利用効果の実証モデル

Description

One of the usage forms of big data analytics (BDA), the process and a collection of analytical technologies for analysis of big data, is its non-routine or ad hoc use. The ad hoc use of BDA can be a means with which organizations cope with change in the business environment with agility. However, no empirical studies on its effects exists to date. This study suggests an empirical model addressing the effects of the ad hoc use of BDA based on the notion of sensemaking, the theory of the organizational process of comprehensively interpreting change events and projects a course of action. Also, results of the initial tests of hypotheses on the effects of the ad hoc use of BDA based on the model are presented.

Journal

Keywords

Details 詳細情報について

  • CRID
    1390845712967224448
  • NII Article ID
    130007381777
  • DOI
    10.11497/jasmin.2018s.0_124
  • Text Lang
    ja
  • Data Source
    • JaLC
    • CiNii Articles
  • Abstract License Flag
    Disallowed

Report a problem

Back to top