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The primary purpose of this study was to identify and conceptualize talent management (TM) functions by combining management and human resources functions, based on a rigorous, in-depth literature review. The secondary purpose was to identify the most common TM strategies and classify them in terms of TM functions to provide a more systematic foundation for the concept of TM.

A systematic literature review supported by qualitative content analysis was used to determine the main TM strategies in the current literature and to classify them under basic TM functions.

This study identified seven core TM functions that were previously addressed in the TM literature but not labeled and conceptualized as TM functions. These seven core functions (talent planning, talent identification, talent attraction, talent acquisition, talent development, talent deployment and talent retention) structure the TM system, influence each other and operate as a cycle through their respective strategies in identifying, formulating and achieving business objectives (e.g. enhanced firm performance and sustainable competitive advantage). The findings also indicate that talent retention strategies were the most discussed topic within this field between 2006 and July 2022, followed by talent planning and talent development strategies.

TM is still a young and developing field that needs more conceptual work for its development and recognition as a discipline. To the best of the authors’ knowledge, this unique study is one of the first attempts to comprehensively define TM functions and offer a framework for the detailed and systematic classification of TM strategies under seven core TM functions. This framework makes clear the multidimensional concept and system of TM and reveals, through the notion of TM functions, the main lines and structural factors necessary to implement the strategies effectively. Based on the strategies presented in this study, TM is an important source of ideas for organizations that want to implement TM and provides a bench-marking tool for organizations that are currently implementing TM.

This paper aims to review the latest management developments across the globe and pinpoint practical implications from cutting-edge research and case studies.

This briefing is prepared by an independent writer who adds their own impartial comments and places the articles in context.

This paper identified and conceptualized various talent management strategies that can help firms gain a competitive advantage.

The briefing saves busy executives, strategists and researchers hours of reading time by selecting only the very best, most pertinent information and presenting it in a condensed and easy-to-digest format.

This paper aims to review the latest management developments across the globe and pinpoint practical implications from cutting-edge research and case studies.

This briefing is prepared by an independent writer who adds their own impartial comments and places the articles in context.

Researchers identified seven core talent management functions. They were talent planning, talent identification, talent attraction, talent acquisition, talent development, talent deployment and talent retention. The authors found that they influenced each other and operated together to identify, formulate and achieve organizational goals

The briefing saves busy executives, strategists and researchers hours of reading time by selecting only the very best, most pertinent information and presenting it in a condensed and easy-to-digest format.

Wind turbines are one of the best candidates to solve the problem of increasing energy demand in the world. The aim of this paper is to apply a multi-objective structural optimization study to a Phase II wind turbine blade produced by the National Renewable Energy Laboratory to obtain a more efficient small-scale wind turbine.

To solve this structural optimization problem, a new Non-Dominated Sorting Genetic Algorithm (NSGA-II) was performed. In the optimization study, the objective function was on minimization of mass and cost of the blade, and design parameters were composite material type and spar cap layer number. Design constraints were deformation, strain, stress, natural frequency and failure criteria. ANSYS Composite PrepPost (ACP) module was used to model the composite materials of the blade. Moreover, fluid–structure interaction (FSI) model in ANSYS was used to carry out flow and structural analysis on the blade.

As a result, a new original blade was designed using the multi-objective structural optimization study which has been adapted for aerodynamic optimization, the NSGA-II algorithm and FSI. The mass of three selected optimized blades using carbon composite decreased as much as 6.6%, 11.9% and 14.3%, respectively, while their costs increased by 23.1%, 29.9% and 38.3%. This multi-objective structural optimization-based study indicates that the composite configuration of the blade could be altered to reach the desired weight and cost for production.

ACP module is a novel and advanced composite modeling technique. This study is a novel study to present the NSGA-II algorithm, which has been adapted for aerodynamic optimization, together with the FSI. Unlike other studies, complex composite layup, fiber directions and layer orientations were defined by using the ACP module, and the composite blade analyzed both aerodynamic pressure and structural design using ACP and FSI modules together.