Data on the impact of business analytics, knowledge retention, and dynamic capabilities on competitive advantage in electronic commerce

This article introduces a dataset comprising 327 surveyed electronic commerce firms in Indonesia, aiming to evaluate their competitive advantage. Following a resource-based view (RBV) framework, the dataset encompasses four dimensions of business analytics, three dimensions related to knowledge retention, three dimensions of dynamic capability, and two dimensions supporting the competitive advantage construct. Using Smart PLS software to process and analyze the data. Additionally, the survey captures word cloud data of crucial factors for initiating business analytics in the firms. Firm-level characteristics are identified to unveil organizational competitive performance through knowledge retention and dynamic capability. The dataset incorporates essential factors needed by companies across various dimensions and sub-components with critical attributes. In total, the dataset comprises four main constructs, 12 dimensions, and 57 questions. The dataset is versatile and can be utilized under different theoretical approaches, such as Resource-Based View (RBV), Knowledge-Based View Management (KBV), dynamic capability, change management, innovation, other strategic management theories, or other information technology (IT) and Information system (IS) research.

本文介绍了一份涵盖印尼327家受访电子商务企业的数据集，旨在评估其竞争优势。本数据集遵循资源基础观（Resource-Based View, RBV）框架，涵盖商业分析4个维度、知识留存3个维度、动态能力3个维度，以及支撑竞争优势构念的2个维度。本数据集采用Smart PLS软件进行数据处理与分析。此外，本次调研还采集了企业启动商业分析所需关键因素的词云数据。本研究通过知识留存与动态能力维度，识别企业层面特征以揭示组织竞争绩效表现。数据集纳入了企业在各维度及子组件中所需的具备关键属性的核心要素。总体而言，本数据集包含4个主构念、12个维度以及57个调研问题。本数据集适用性广泛，可适配多种理论框架，包括资源基础观（RBV）、知识基础观管理（Knowledge-Based View Management, KBV）、动态能力、变革管理、创新及其他战略管理理论，亦可应用于信息技术（IT）与信息系统（IS）相关研究。