This README.txt file was generated on by ------------------- GENERAL INFORMATION ------------------- Title of Dataset: Dataset: Knowledge Management applied to Enterprise and Suppky Chain Resilience. A teaching Case. Author Information Principal Investigator: Marco Arias-Vargas, Universitat Politècnica de València (Spain) and Universidad de Costa Rica - Escuela de Ingeniería Industrial (Costa Rica), marco.ariasvargas@ucr.ac.cr,https://orcid.org/0000-0002-7586-4140 Associate or Co-investigator: Raquel Sanchis, Centro de Investigación Gestión e Ingeniería de Producción (CIGIP) Universitat Politècnica de València (Spain), Calle Alarcón nº 1 - 03801- Alcoy (Alicante), rsanchis@cigip.upv.es, https://orcid.org/0000-0002-5495-3339 Associate or Co-investigator: Raúl Poler, Centro de Investigación Gestión e Ingeniería de Producción (CIGIP) Universitat Politècnica de València (Spain), Calle Alarcón nº 1 - 03801- Alcoy (Alicante), rpoler@cigip.upv.es, https://orcid.org/0000-0003-4475-6371 Date of data collection: 2024-01-09 Geographic location of data collection: Costa Rica. 9.94152, -84.09075 Information about funding sources or sponsorship that supported the collection of the data: This work was supported by the European Commission under the Erasmus+ Programme within the frame of CONTINUITY Project: Business Continuity Managers Training Platform with Reference No. 2021-1-IT01-KA220-VET-000033287 General description: The Excel spreadsheet encompasses data on sales for various Stock Keeping Units (SKUs) sourced from different suppliers, compiled in Costa Rica. The dataset spans the years 2018 through 2020. The information provides a comprehensive overview of the sales performance, offering insights into the transactions involving diverse products from different suppliers over this three-year period. Keywords: teaching case, knowledge management, enterprise and supply chain resilience, disruptive events, decision-making, problem solution. -------------------------- SHARING/ACCESS INFORMATION -------------------------- Open Access to data: Licenses/restrictions placed on the data, or limitations of reuse: Creative Commons (CC-BY) -------------------- DATA & FILE OVERVIEW -------------------- File list: 2024_Arias-Vargas et al_Historic_Sales.xlsx. The data set involves the following columns: Channel: Channel of the dataset, in this case retail. Category: Category of the SKU. Supplier: Supplier who provides each SKU. SKU: Stock keeping unit. Description. Description of the SKU. 2018-01: Year 2018 and week 01. The rows of this column indicate the sales of each SKU. 20yy-ww: Year 20YY and week ww. The rows of this column indicate the sales of each SKU. Type of version of the dataset: Final version dataset Total size: 148 KB -------------------------- METHODOLOGICAL INFORMATION -------------------------- Methods for processing the data: Collection of the sales of different SKUs from different suppliers. Software- or Instrument-specific information needed to interpret the data, including software and hardware version numbers: Excel -------------------------- DATA-SPECIFIC INFORMATION -------------------------- Number of cases/rows: 161 rows + column title row