مقاله انگلیسی رایگان در مورد منابع انسانی برای حرفه های کلان داده – الزویر 2018

The rapid expansion of Big Data Analytics is forcing companies to rethink their Human Resource (HR) needs. However, at the same time, it is unclear which types of job roles and skills constitute this area. To this end, this study pursues to drive clarity across the heterogeneous nature of skills required in Big Data professions, by analyzing a large amount of real-world job posts published online. More precisely we: 1) identify four Big Data ‘job families’; 2) recognize nine homogeneous groups of Big Data skills (skill sets) that are being demanded by companies; 3) characterize each job family with the appropriate level of competence required within each Big Data skill set. We propose a novel, semi-automated, fully replicable, analytical methodology based on a combination of machine learning algorithms and expert judgement. Our analysis leverages a significant amount of online job posts, obtained through web scraping, to generate an intelligible classification of job roles and skill sets. The results can support business leaders and HR managers in establishing clear strategies for the acquisition and the development of the right skills needed to leverage Big Data at best. Moreover, the structured classification of job families and skill sets will help establish a common dictionary to be used by HR recruiters and education providers, so that supply and demand can more effectively meet in the job marketplace.

Introduction

The phenomenon of Big Data – defined as those “information assets characterized by such a high volume, velocity and variety to require specific technology and analytical methods for its transformation into value” (De Mauro, Greco, & Grimaldi, 2016) – has reached a prominent position on the agendas of business managers around the world. Multiple previous studies have proven the crucial role of human capital in the success of companies, especially those characterized by a high degree of technology intensity (Colombo & Grilli, 2010; Delgado-Verde, Martín-De Castro, & Amores-Salvadó, 2016; Morales-Alonso, Pablo-Lerchundi, & Núez-Del-Río, 2016; Saenz, Aramburu, Buenchea, Vanhala, & Ritala, 2017; Siepel, Cowling, & Coad, 2017). Consequently, firms need to quickly secure the appropriate competencies in the area of Big Data: such a race for acquiring the right talent does not seem to slow down while the labor market is unable to cope with an exponentially increasing demand. Emerging Big Data job roles are making a rapid entry into the list of openings in the hands of corporate recruiters. However, the description of skills and responsibilities of Data Analytics jobs is often nebulous and companies tend to rely on subjective interpretations of their organizational needs. For instance, we have recently witnessed the establishment of the nearly-mythological role of Data Scientist, a professional able to individually cope with a company’s most analytical necessities. This simplistic vision clearly neglects the complexity of all those varied and specific skills that are required to gather information, organize it and transform it into insights that can produce an economical advantage. In fact, there is a clear research gap regarding the formal definition of the most prominent Big Data jobs and of the required educational needs (Miller, 2014; Song & Zhu, 2015).