Purpose

The prevailing conceptualization of information system (IS) capabilities, rooted in the resource-based view (RBV) framework, tends to focus on unique firm resources. In the digital age, as emphasized by dynamic capabilities (DC), resource reconfiguration is critical in maintaining strategic advantage. This paper focuses on big data analytics capabilities (BDAC) from a DC perspective to present a novel conceptualization of BDAC–DC. We examine its effects on product, business model and business process innovation, including the effects of enterprise architecture (EA) on the BDAC business model innovation relationship.

Design/methodology/approach

This research presents a novel DC-based BDAC conceptualization, operationalized as a hierarchical construct. A survey-based approach is used for data collection and data analysis is done using partial least squares structural equation modeling (PLS-SEM).

Findings

The novel conceptualization and the effects of BDAC DC on BDA sensing-seizing and reconfiguration capacities support BDAC’s functional and evolutionary roleplay. Empirical results confirm the positive effects of BDAC–DC on first-order value targets (innovation) and the moderating effects of EA.

Research limitations/implications

The novel BDAC–DC conceptualization has several implications for BDAC, DC, EA and business value research. Practicing managers must adopt a multifaceted approach to BDAC development by considering non-technical and organizational factors, collaborate with their business counterparts to explore unique big data ideas, initiate proof-of-concept projects to secure support and allocate resources synchronously, considering a multidimensional view of the process, product and business model innovation.

Practical implications

Practicing managers must adopt a multifaceted approach to BDAC development by considering non-technical and organizational factors, collaborate with their business counterparts to explore unique big data ideas, initiate proof-of-concept projects to secure support and allocate resources synchronously, considering a multidimensional view of the process, product and business model innovation for synergistic outcomes.

Originality/value

To the best of our knowledge, this research is the first attempt toward DC-based BDAC conceptualization, empirical validation of first-order effects on various forms of innovation and the often-overlooked role of critical EA capability.

中文翻译：

---

大数据分析和企业架构对创新影响的动态能力视角：实证研究

 目的

根植于基于资源的观点（RBV）框架的信息系统（IS）能力的流行概念往往侧重于独特的公司资源。在数字时代，正如动态能力（DC）所强调的那样，资源重新配置对于保持战略优势至关重要。本文从 DC 角度重点关注大数据分析功能 (BDAC)，提出 BDAC-DC 的新颖概念。我们考察其对产品、业务模式和业务流程创新的影响，包括企业架构（EA）对BDAC业务模式创新关系的影响。

设计/方法论/途径

本研究提出了一种新颖的基于 DC 的 BDAC 概念化，可作为分层结构进行操作。采用基于调查的方法进行数据收集，并使用偏最小二乘结构方程模型 (PLS-SEM) 进行数据分析。

 发现

BDAC DC 的新颖概念和对 BDA 传感捕获和重新配置能力的影响支持 BDAC 的功能和进化角色扮演。实证结果证实了 BDAC-DC 对一阶价值目标（创新）的积极影响以及 EA 的调节作用。

研究局限性/影响

新颖的 BDAC-DC 概念对 BDAC、DC、EA 和商业价值研究具有多种影响。从业管理者必须采用多方面的方法来开发 BDAC，考虑非技术和组织因素，与业务同行合作探索独特的大数据想法，启动概念验证项目以确保支持并同步分配资源，并考虑多维视图流程、产品和商业模式创新。

 实际意义

从业管理者必须采用多方面的方法来开发 BDAC，考虑非技术和组织因素，与业务同行合作探索独特的大数据想法，启动概念验证项目以确保支持并同步分配资源，并考虑多维视图流程、产品和业务模式创新，以实现协同成果。

 原创性/价值

据我们所知，这项研究是对基于 DC 的 BDAC 概念化、对各种形式创新的一阶效应的实证验证以及关键 EA 能力经常被忽视的作用的首次尝试。