管理评论 ›› 2024, Vol. 36 ›› Issue (2): 106-116.

• 电子商务与信息管理 • 上一篇    下一篇

大数据情境概念界定与维度结构构建研究

袁君霞1, 吴海宁2, 谢家平3   

  1. 1. 上海电机学院商学院, 上海 201306;
    2. 上海大学悉尼工商学院, 上海 201899;
    3. 上海财经大学商学院, 上海 200433
  • 收稿日期:2021-11-16 出版日期:2024-02-28 发布日期:2024-03-30
  • 通讯作者: 吴海宁(通讯作者),上海大学悉尼工商学院讲师,硕士生导师,博士
  • 作者简介:袁君霞,上海电机学院商学院讲师,硕士生导师,博士;谢家平,上海财经大学商学院教授,博士生导师,博士。
  • 基金资助:
    国家社会科学基金项目(18BGL115)。

Definition of Big Data Context and Construction of Dimension Structure

Yuan Junxia1, Wu Haining2, Xie Jiaping3   

  1. 1. School of Business, Shanghai Dianji University, Shanghai 201306;
    2. SILC Business School, Shanghai University, Shanghai 201899;
    3. College of Business, Shanghai University of Finance and Economics, Shanghai 200433
  • Received:2021-11-16 Online:2024-02-28 Published:2024-03-30

摘要: 大数据情境对于企业有效开发和利用大数据资源起到促进或约束作用。然而,其概念界定和维度结构模糊不清,对具体行为的影响也没有得到充分认识和重视。本文扎根于数字化先锋零售企业大数据应用实践,对大数据情境的概念与维度结构进行了界定与构建。研究发现,大数据情境包含主体情境和结构情境两个层次。主体情境是企业在推动大数据技术应用过程中创设的引领性发展环境,其基本要素包含高管数据认知、数据战略、数据生命周期和数据价值。结构情境是直接影响员工实际工作行为和态度的更为微观、具体的操作性环境,其基本元素包括数据属性,大数据组织形象和大数据组织氛围。主体情境有利于塑造结构情境,可以被视为结构情境的前因变量。结构情境支撑主体情境,是主体情境作用于员工行为的中介。这一理论框架丰富和深化了对于大数据情境的认知,使得比较宽泛或模糊处理的情境定义更加清晰。

关键词: 大数据情境, 维度结构, 扎根理论, 概念界定

Abstract: Big data context plays a facilitating or constraining role for enterprises to effectively develop and utilize big data-related resources. However, its conceptual definition and dimensional structure are vague, and its impact on specific behaviors is not fully recognized and valued. Rooted in the big data application practices of digital pioneer retail enterprises, this paper defines and constructs the concept and dimensional structure of big data context. It is found that big data context contains two levels: Omnibus context and Discrete context. The Omnibus context is the leading development environment created by the enterprise in the process of promoting the application of big data technology, and its basic elements include executive data awareness, data strategy, data life cycle and data value. The Discrete context is a more micro and specific operational environment that directly affects employees’ actual work behaviors and attitudes, and its basic elements include data attributes, big data organizational image and big data organizational climate. The Omnibus context is conducive to shaping the Discrete context and can be regarded as the antecedent variable of the Discrete context. The Discrete context supports the Omnibus context and mediates the action of the Omnibus context on employee behavior. This theoretical framework enriches and deepens the perception of big data context and makes the definition of context, which is more broadly or vaguely treated, clearer.

Key words: big data context, dimensional structure, grounded theory, concept definition