Search results

The postindustrial economy did not take the place of previous types of economy. More than that, by definition, it hasn't become “post”-industrial in point of fact: relations with regard to the production of tangible goods define the imperative of industrialism, yet with a modern science and technology stage of development. The present-day production becomes increasingly automated, leading to the absence of demand for psychophysiological properties of man and labor in general. At the same time, highly qualified personnel who are able to control complex information management systems come to the fore. New types of energy and manmade materials appear; socioeconomic human living environment becomes more complicated. These processes are an objective phenomenon. However, the technological revolution is manifested differently in the “central” and “peripheral” countries. In the Russian Federation, formation of the innovational takes place in the conditions of integration of the resource model and opposition of the institutes that fund it. The crisis stimulates the conceptual search and does not deny the scientifically based classics.

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.

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.

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.

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.

This chapter deals with the question of how anti-corruption norms can emerge in authoritarian or semi-authoritarian regimes that actively suppress social dissent and protest. The chapter examines the capacity of Russian opposition movements to create a sustained anti-corruption discourse and to shape political governance. When it comes to addressing corruption through social action in the context of Russia, the situation does not often seem conducive to concerted opposition activity. Nevertheless, even though opposition movements repeatedly fail to impact political decision-making or elite practices, they are not exercises in futility. The chapter concludes that the anti-corruption discourse can be effectively utilized by the Russian opposition movements to unite its efforts and vocalize their demands in terms of democratic governance norms. Continually repressive governmental measures are creating dangerous public spaces, where massive and violent confrontations are increasingly likely to occur. As the opposition continues to find its voice, challenge elite corruption and vocalize its desires for democratic governance norms, the continuing demands for policies to be reflective of public interest (rather than interests of the powerful elites) will not abate. The anti-corruption discourse can play a powerful unifying role for the opposition given the endemic nature of corruption in today’s Russia.

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.

The paper is based on a systematic literature review of 90 peer-reviewed journal papers.

The review revealed typical ability-, motivation- and opportunity-enhancing practices used by PSF and outlined how these HRM practices may differ among various PSF.

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.

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.

The authors apply fuzzy-set qualitative comparative analysis on data of 154 project-based organizations of diverse professional service industries in Russia.

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.

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.

Socio-economic, health and environmental turbulences experienced during the past decades have caused major value chain disruptions, triggering multinational enterprises (MNEs) to rethink the footprints of their global operations and redesign for resilience. These developments have fueled a rapidly expanding scholarly literature on resilience. Yet, its conceptual understanding and practical utility remain highly fragmented, cross-disciplinarily disconnected and ambiguous. This study explores the intellectual structure of resilience research in business and management, relying on a systematic literature review approach based on bibliometric techniques and content analysis. A unique database consisting of 545 peer-reviewed articles published in 65 leading Academic Journal Guide (AJG) journals are analyzed. Based on the findings, three leading research communities dominate the resilience discussion in business and management. Moreover, the intellectual structure of the field through the most productive authors and top cited journal articles is discussed. Based on the results, five potential research avenues are suggested.

Under current conditions, strong sustainable socio-economic development of major metropolitan areas in separate regions and separate countries comparable to them in size is possible with the optimal management of a set of anti-epidemic measures to combat the COVID-19 pandemic. This chapter constructs the first numerical model of the quasi-periodic dynamics of the COVID-19 pandemic. It was created based on the innovative model of the Kondratiev waves developed by the authors in their previous works. The authors found a close approximation between the model and the actual data for the four waves of development of the COVID-19 pandemic in Moscow. It was also noted that this model applies to small countries close in population to Moscow when comparing the correlation and autocorrelation curves. The data calculated by the models indicate the possibility of the practical application of the developed model for metropolitan areas and small countries comparable to them in size and population. Additionally, the model showed the accuracy of the results for such large countries as Russia and the United States.

On modern markets, supply chains (SC) shape the competition landscape. At the same time, considerable research advancements have been recently achieved in the area of collaborative networks. Trends in information technology progress for networked systems include development of cyber‐physical networks, cloud service environments, etc. The purpose of this paper is to identify an inter‐disciplinary perspective and modelling tools for new generation SCs which will be collaborative cyber‐physical networks.

This study addresses the above‐mentioned research goal by first, developing a methodical vision of an inter‐disciplinary modelling framework for SCM based on the existing studies on SC operations, control and systems theories; and second, by integrating elements of different structures with structures dynamics within an adaptive framework based upon the authors' own research.

The inter‐disciplinary modelling framework for multi‐structural SCs has been developed. A new inter‐disciplinary level of model‐based decision‐making support in those SCs is claimed based on the integration of previously isolated problems and modelling tools developed in such disciplines like operations research, control theory, system dynamics, and artificial intelligence.

The novelty of this paper is the consideration of SC modelling in the context of collaborative cyber‐physical systems. This topic is particularly relevant for researchers and practitioners who are interested in future generation SCs. Particular focus is directed towards the multi‐structural SC modelling, structure dynamics, and inter‐disciplinary problems and models in future SCs. Challenges of integrated optimization in the organizational and informational context are discussed.

Supply chain resilience capabilities are usually considered in light of some anticipated events and are as passive assets, which are “waiting” for use in case of an emergency. This, however, can be inefficient. Moreover, the current COVID-19 pandemic has revealed difficulties in the timely deployments of resilience assets and their utilization for value creation. We present a framework that consolidates different angles of efficient resilience and renders utilization of resilience capabilities for creation of value.

We conceptualise the design of the AURA (Active Usage of Resilience Assets) framework for post-COVID-19 supply chain management through collating the extant literature on value creation-oriented resilience and practical examples and complementing our analysis with a discussion of practical implementations.

Building upon and integrating the existing frameworks of VSC (Viable Supply Chain), RSC (Reconfigurable Supply Chain) and LCNSC (Low-Certainty-Need Supply Chain), we elaborate on a new idea in the AURA approach – to consider resilience as an inherent, active and value-creating component of operations management decisions, rather than as a passive “shield” to protect against rare, severe events. We identify 10 future research areas for lean resilience integrating management and digital platforms and technology.

The outcomes of our study can be used by supply chain and operations managers to improve the efficiency and effectiveness by turning resilience from passive, cost-driving assets into a value-creating, inclusive decision-making paradigm.

We propose a novel approach to bring more dynamics to the notion of supply chain resilience. We name our approach AURA and articulate its two major advantages as follows: (1) reduction of disruption prediction efforts and (2) value creation from resilience assets. We offer a discussion on ten future research directions towards a lean resilience.