How open innovation specialists contribute to corporate sustainability and responsibility: A latent Dirichlet allocation approach

Abstract

This study examines the job postings for open innovation (OI) specialists to determine a universal archetype of what competencies and tasks are requested from said professionals and their implications for corporate sustainability and responsibility. This research uses Bayesian statistics and latent Dirichlet allocation (LDA) topic modeling to measure multiple dimensions of the 341 sampled job postings. Our empirical findings unveil the pivotal role that OI specialists have in engaging with stakeholders and monitoring OI dynamics. Multiple dimensions are expected from OI specialists, addressing a multitude of concerns, such as the environment and technologies. Moreover, this study underlines the need for OI specialists to comprehend both internal and external stakeholders' needs. This research contributes to the literature as follows. First, it underlines the value of topic modeling analysis in job profiling research. Second, it bridges existing knowledge gaps on OI specialists' competencies and roles with empirical evidence obtained from a global dataset. Third, it outlines the current market expectations and requirements for OI specialists, which is useful to both candidates and companies.