Heriqbaldi Unggul, Jayadi Achmad, Erlando Angga, Samudro Bhimo Rizky, Widodo Wahyu, Esquivias Miguel Angel
Universitas Airlangga, Surabaya, Indonesia.
Universitas Sebelas Maret, Surakarta, Indonesia.
Data Brief. 2023 Apr 5;48:109112. doi: 10.1016/j.dib.2023.109112. eCollection 2023 Jun.
This article presents a dataset of 204 exporting firms surveyed in Indonesia to assess the internationalization and participation of enterprises in government export promotion programs (EPP). Under a resource-based view (RBV) approach, the dataset includes four dimensions of government export assistance programs, three dimensions capturing organizational resources and organizational capabilities. In addition, the survey collects data on the firms' export marketing strategies, competitiveness, and market performance. Firm-level characteristics are identified to reveal the organizational characteristics, the companies' strategic features, and market orientation. The dataset also includes obstacles the companies face across dimensions and sub-components with critical attributes. In total, the dataset includes 19 constructs of questions with 180 variables. The dataset can be used to test the firms' competitive advantage in export markets, assess the role of government programs in the firms' export performance, examine export barriers as predictors, mediators, and moderators of export performance, etc. The dataset can be used under different theoretical approaches, i.e., RBV, internationalization process, or institutional theories.
本文展示了一个对印度尼西亚204家出口企业进行调查的数据集合，用于评估企业的国际化程度以及它们参与政府出口促进计划（EPP）的情况。在基于资源的观点（RBV）方法下，该数据集包括政府出口援助计划的四个维度，以及捕捉组织资源和组织能力的三个维度。此外，该调查收集了有关企业出口营销策略、竞争力和市场表现的数据。识别出企业层面的特征，以揭示组织特征、公司的战略特征和市场导向。该数据集还包括公司在各个维度和具有关键属性的子组件中面临的障碍。该数据集总共包括19个问题结构，包含180个变量。该数据集可用于测试企业在出口市场中的竞争优势，评估政府计划在企业出口表现中的作用，将出口障碍作为出口表现的预测因素、中介因素和调节因素进行考察等。该数据集可在不同的理论方法下使用，即RBV、国际化进程或制度理论。
