Your browser doesn't support javascript.
loading
Dataset that shows organizational complexity as a key enabler for business model innovation using enterprise resource planning.
Rodríguez, Rocío; Svensson, Göran; Molina-Castillo, Francisco-José.
Afiliación
  • Rodríguez R; Universidad de Murcia. Campus de Espinardo, 30100 Murcia, Spain.
  • Svensson G; Kristiania University College, 0107 Oslo, Norway.
  • Molina-Castillo FJ; Kristiania University College, 0107 Oslo, Norway.
Data Brief ; 55: 110754, 2024 Aug.
Article en En | MEDLINE | ID: mdl-39183970
ABSTRACT
An empirical study was conducted to find the role of the Organizational Complexity (OC) on the Business Innovation Model (BMI) when companies are using an Enterprise Resource Planning (ERP). Three different profiles were contacted in the companies (General Manager, Information Technology Manager and Purchasing Manager). A data collection process through a questionnaire survey was conducted, 132 informants participated in the study, however, 28 of them reported they were not using an ERP in their company. Valid data from 104 enterprises dealing with BMI and simultaneously had implemented an ERP software solution participated to the questionnaire. The scales used for the questionnaire of this study were previously validated in the literature and measured aspects such as the ERP use and perceived usefulness, the organizational complexity and costs and revenues of the business model innovation. All constructs accomplish the validity and reliability commonly accepted. This dataset could be specially useful for conduct multi countries studies to compare results about the impact of Organizational complexity on Business Model Innovation for those companies using and Enterprise Resource Planning (ERP).
Palabras clave

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Data Brief Año: 2024 Tipo del documento: Article País de afiliación: España Pais de publicación: Países Bajos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Data Brief Año: 2024 Tipo del documento: Article País de afiliación: España Pais de publicación: Países Bajos