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1 – 10 of 31Elena B. Zavyalova and Nikolay V. Studenikin
There is a long-going discussion in Russia focusing on finding new stimulus for economic growth. Being very rich with natural recourses, Russia has enjoyed extensive economic…
Abstract
There is a long-going discussion in Russia focusing on finding new stimulus for economic growth. Being very rich with natural recourses, Russia has enjoyed extensive economic growth model for many centuries. The world is changing. Russia as any country which is to keep up with the dynamics and the quality of the world economic growth must find some new technologies and economic triggers. Green investment can be regarded as the key instrument to achieve faster economic growth and to make technological gap narrower. The chapter focuses on state policy and business practice in green investment in Russia.
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Dmitri Sokolov and Elena Zavyalova
Human resource management in professional service firms (PSF) is one of the most important instruments for promoting sustainable competitive advantage. Despite the major growth of…
Abstract
Purpose
Human resource management in professional service firms (PSF) is one of the most important instruments for promoting sustainable competitive advantage. Despite the major growth of scholars' interest in human resource management (HRM) issues in PSF, the body of knowledge in this field remains highly fragmented and diversified. The purpose of this paper is to systematize key evidence on the use of HRM practices in PSF.
Design/methodology/approach
The paper is based on a systematic literature review of 90 peer-reviewed journal papers.
Findings
The review revealed typical ability-, motivation- and opportunity-enhancing practices used by PSF and outlined how these HRM practices may differ among various PSF.
Originality/value
The paper provides scholars with an updated and comprehensive research landscape and development process in this important field, thereby contributing to greater research interest and enthusiasm for future research.
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Ekaterina M. Egorova, Nadezhda V. Chernovanova, Elena V. Yagupova and Elena A. Dynnikova
Elena Zavyalova, Dmitri Sokolov and Antonina Lisovskaya
Agile project management methods gain increasing attention of practitioners while they often remain neglected by scholarly research. Specifically, there is little known about how…
Abstract
Purpose
Agile project management methods gain increasing attention of practitioners while they often remain neglected by scholarly research. Specifically, there is little known about how performance factors of agile firms differ from those of traditional firms. Scholars argue that these factors often relate to a firm’s human resource management (HRM). This study aims to analyze and compare the HRM architectures in agile and traditional project-based organizations that lead to high firm performance.
Design/methodology/approach
The authors apply fuzzy-set qualitative comparative analysis on data of 154 project-based organizations of diverse professional service industries in Russia.
Findings
This study’s findings suggest that HRM architectures of high-performance agile firms imply a broad use of ability-, motivation- and opportunity-enhancing practices and a high degree of HRM process centralization, while traditional firms adopt more diverse HRM architectures.
Originality/value
Based on this study’s results, the authors stress the importance of ensuring a good fit between a company’s project management approach and HRM architecture. The revealed configurations may also provide guidance for practitioners on designing effective HRM architectures in project-based organizations.
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Dmitri Sokolov and Elena Zavyalova
While prior research suggests that human resource management (HRM) practices are crucial drivers of a firms' intellectual capital, few studies have tried to deconstruct this…
Abstract
Purpose
While prior research suggests that human resource management (HRM) practices are crucial drivers of a firms' intellectual capital, few studies have tried to deconstruct this relationship and investigate how HRM practices specifically affect intellectual capital resources. Furthermore, prior research treated this relationship as universal and rarely tried to introduce important contingent factors that may alter the mechanisms involved in how HRM practices influence firms' intellectual capital. In this study, the authors examine the relationships between the ability-, motivation- and opportunity-enhancing dimensions of HRM systems and human, social and structural capital and investigate how companies' codification and personalization knowledge management (KM) strategies may alter these relationships.
Design/methodology/approach
The data were collected using a telephone survey of 215 knowledge-intensive companies operating in Russia. The paper utilizes partial least squares structural equation modeling (PLS–SEM) to evaluate the measurement model and test hypothesized relationships.
Findings
The findings indicate positive relationships between ability-enhancing practices and firms' human capital between motivation-enhancing practices and firms' human and social capital and between opportunity-enhancing practices and firms' social and structural capital. The authors’ results reveal the limited moderating role of KM strategies in the relationships between HRM and intellectual capital. While a personalization strategy had no impact on any of the proposed relationships, a codification strategy positively moderated the relationship between opportunity-enhancing HRM practices and firms' structural capital.
Originality/value
The study expands the debates in strategic HRM literature by looking “inside” the HRM–intellectual capital relationship. Additionally, the authors’ findings reveal the complexity of the contingent effect that KM strategies of codification and personalization have on the relationship between HRM practices and intellectual capital. Although some of the relationships were not moderated by the KM strategy of the firm, the HRM–intellectual capital relationship cannot be considered fully universal.
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Yury L. Talismanov, Inga V. Nikulkina, Elzata V. Erdnieva, Marina V. Karp and Elena I. Larionova
Ekaterina A. Orlova, Natalia B. Ershova, Viktor I. Dobrosotskiy and Bogdan S. Vasyakin