Methodology of contract managers’ project competency formation in CPE

Abstract

The paper defines and systematizes the key methods, which influence the results of continuing professional education (further referred to as “CPE”) implementation and quality control of CPE process. All this will allow providing coaches, tutors, business consultants, contract managers and professionals with an effective tool to identify and improve project competency of contract managers (contract officers, specialists in procurement further referred to as “contract managers”). The key methodused is a logicalmodeling, which allows to examine the problem of project competency formation as a purposeful and conscious process of forming professional skills of contract managers. The following approaches were also used: statistical and heuristic techniques, such as questionnaires, interviews of representative groups of contract managers. The authors introduce a study on key points in formation of project competency of contract managers at different levels: as a specialist in procurement and expert in procurement, according to professional standards, adopted by the Ministry of Labour of the Russian Federation № 625n and № 626n of 10.09.2015. The authors give some recommendations on project competency formation of contract managers, taking into consideration competency-based and business oriented training. The mentioned above approach in CPE, in authors’s opinion, contributes to the efficient development of competencies (competency clusters) of contract managers according to the expectations and interests of employers on the labour market. Aspects of project competency and stages of formation of such competency are considered from several perspectives. In order to cover above-mentioned issues the specially developed questionnaire was suggested by authors. The authors used a systematic literature review approach, starts with literature review, problems identification, selection process, assess, synthesize and write down the ideas proposed, and then make conclusions. © 2016 Pecherskaya et al.