On the Adoption of Big Data Analytics: A Business Strategy Typology Perspective

EasyChair Preprint no. 2761

Abstract

Recent advancements in big data analytics have invoked tremendous attention from both academics and industries. Many researchers refer that the adoption and application of big data analytics could lead to performance impact to organizations, and therefore further affect organizational adoption intention of this technology. However, few researchers study the influences of various types of business strategies on big data analytics adoption, and empirical documents in this regard are also scant in the literature. In this study, business strategies were classified into four different types. Empirical data from enterprises were collected and analyzed to assess the impact of strategic typology on big data analytics adoption. The results and the implications are then elaborated.

Keyphrases: Big Data Analytics, Business Strategy, Cost Leadership, differentiation, hybrid strategy, information processing view, obscure strategy, technology adoption

@Booklet{EasyChair:2761,
  author = {Wilson Weng},
  title = {On the Adoption of Big Data Analytics: A Business Strategy Typology Perspective},
  howpublished = {EasyChair Preprint no. 2761},

  year = {EasyChair, 2020}}