Job Profiles in the Field of Data-Driven Supply Chain Management An Analysis of the Austrian Job Market

Research output: Contribution to journalConference articlepeer-review

Abstract

Supply chains are immersed in extremely complex and dynamic environments. Reducing uncertainty and improving decision making by means of data-driven supply chain management (SCM) has increasingly become an indispensable core of organizational management. To implement data-driven SCM, companies need to possess the right skilled employees. Job advertisements in the field of data-driven SCM come with multiple different titles, sets of tasks, requirements, and desired soft skills. Therefore, determining which job profile typically inherits which specific requirements, tasks and soft skills presents a challenging task. To illuminate this question, we analyzed the entire Austrian SCM job market and extracted all available job profiles, their specific tasks, requirements, and basic salaries. Analyzing these data, we give recommendations about which qualifications and skills an applicant should inherit for a specific job profile. Additionally, we highlight which tasks typically need to be performed and what minimum salaries can be expected for the specific job profiles. Thus, our results help companies to specify their job advertisements in the field of data-driven SCM and provide job applicants with an overview of tasks they can expect, requirements they need to fulfill, and skills they need to acquire. From a scientific point of view, our results contribute to the body of knowledge by providing insights into the Austrian SCM domain, by offering starting points on how to adapt training and education programs and research projects in the university sector.
Original languageEnglish
Pages (from-to)706-713
Number of pages8
JournalProcedia Computer Science
Volume204
DOIs
Publication statusPublished - 2022

Keywords

  • Supply Chain Management
  • Data
  • Job Advertisments
  • Data Science
  • Data Analytics

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