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This paper aims to discuss the firm productivity premium for servitized firms. It discusses servitization across the product value chain and estimates the effects of the range and extent of servitization on productivity premium in manufacturing firms.

This paper develops a conceptual framework and tests the hypotheses on the effects of servitization on productivity premium using linear regression models with a sample of 20,837 Russian manufacturing firms gathered from the Ruslana Bureau van Dijk database and the Russian customs service.

Servitized firms exhibit higher total factor productivity and labor productivity. The labor productivity premium increases with the number of services offered. However, the impact of services on productivity varies along the product value chain: postmanufacturing and postsales services enhance productivity premium, while manufacturing and back-office services diminish them. The effect of establishment services remains ambiguous.

This paper offers an analytical framework for firms to assess their servitization strategies. These strategies should be gradual, focused on enhancing firm efficiency rather than being an end goal. Firms should initiate the process by introducing services at the postproduction and postsales stages of the product creation chain to achieve productivity premium.

The paper extends the evidence on firm-level productivity drivers and contributes to the servitization theory. A servitization strategy should be portfolio-based, considering both the potential gains and losses in productivity resulting from the implementation of specific services.

The purpose of this study is to investigate how the attitudes of Russian managers are affected by personal attributes, environmental conditions and also cognitive processes.

Based on social cognitive theory, the authors developed hypotheses and tested them against data collected from 173 Russian managers via an online survey. A linear regression analysis revealed several determinants of ethical attitudes within the Russian context.

The findings suggest that personal values (i.e. political orientation), environmental conditions (i.e. hierarchical level, ownership – state-owned versus private – of the current employer, industry in which a manager works) as well as cognitive processes (i.e. the presence (absence) of multilingualism at the workplace) strongly affect ethical attitudes of Russian managers in several issues related to both job ethics (relations inside the organization) and business ethics (relations outside the organization).

Revealing a positive effect of multilingualism as cognitive process on managers' ethical attitudes, this study calls for incorporating a second lingua franca, for example, English, within the working context.

The study provides an in-depth investigation of the determinants of ethical attitudes in Russia. Conducting a single-country study, the authors are able to reveal locally meaningful determinants that may otherwise be overlooked.

Investors aim for returns when investing in stocks, making return volatility a crucial concern. This study compares symmetric and asymmetric GARCH models to forecast volatility in emerging nations like the G4 countries. Accurate volatility forecasting is vital for investors to make well-informed investment decisions, forming the core purpose of this study.

From January 1993 to May 2021, the study spans four periods, focusing on the global economic crisis of 2008, the Russian crisis of 2015 and the COVID-19 pandemic. Standard generalized autoregressive conditional heteroscedasticity (GARCH), exponential GARCH (E-GARCH) and Glosten-Jagannathan-Runkle GARCH models were employed to analyse the data. Robustness was assessed using the Akaike information criterion, Schwarz information criterion and maximum log-likelihood criteria.

The study's findings show that the E-GARCH model is the best model for forecasting volatility in emerging nations. This is because the E-GARCH model is able to capture the asymmetric effects of positive and negative shocks on volatility.

This unique study compares symmetric and asymmetric GARCH models for forecasting volatility in emerging nations, a novel approach not explored in prior research. The insights gained can aid investors in constructing more effective risk-adjusted international portfolios, offering a better understanding of stock market volatility to inform strategic investment decisions.

The paper examines whether, along with the financial performance, the disclosure of research and development (R&D) expenses, patent portfolios, patent citations and innovation activities affect the market capitalization of Russian companies.

The paper opted for a set of techniques including bag-of-words (BoW) to retrieve additional innovation-related data from companies' annual reports, self-organizing maps (SOM) to perform visual exploratory analysis and panel data regression (PDR) to conduct confirmatory analysis using data on 74 Russian publicly traded companies for the period 2013–2019.

The paper observes that the disclosure of nonfinancial data on R&D, patents and primarily product and marketing innovations positively affects the market capitalization of the largest Russian companies, which are mainly focused on energy, raw materials and utilities and are operating on international markets. The study suggests that these companies are financially well-resourced to innovate at risk and thus to provide positive signals to stakeholders and external agents.

Our findings are important to management, investors, financial analysts, regulators and various agencies providing guidance on corporate governance and sustainability reporting. However, the authors acknowledge that the research results may lack generalizability due to the sample covering a single national context. Researchers are encouraged to test the proposed approach further on other countries' data by using the compiled lexicons.

The study aims to expand the domains of signaling theory and market valuation by providing new insights into the impact that companies' reporting on R&D, patents and innovation activities has on market capitalization. New nonfinancial factors that previous research does not investigate – innovation disclosure indicators (IDI) – are tested.

This paper deals with types and actors of entrepreneurship in and around academia in Russia, as well as with institutional settings of the entrepreneurial activity of academic faculty.

This paper is based on a series of semi-structured interviews using the purposive snowball method (2022–2023). The respondents are either engaged in different kinds of entrepreneurship in and outside universities in Moscow and Nizhny Novgorod or experts in entrepreneurship in and around academia.

A double mixed embeddedness driven approach to the typology of diverse forms of entrepreneurship in and around academia are shown in the context of the temporality as well as of the micro-, meso- and macro-level institutions, such as the low demand in innovations in the economy; uncertainty of property rights; limited interest of university administration in academic entrepreneurs or its focus solely on students' entrepreneurship; and necessity entrepreneurship motives on the micro-level. The research limitations of the study are the small number of observations and the localisation of the panel in only one country.

The research limitations of the study are the small number of observations and the localisation of the panel in only one country.

The “Special Military Operation” and its consequences would hinder bottom-up academic entrepreneurship in the country, while pushing universities to launch R&D with the big industry, and forcing many faculties to non-academic entrepreneurship.

For the first time, the broad variety of entrepreneurial activities of academic staff including the specifics of non-classical forms of entrepreneurship in and around academia and their embeddedness into different contexts are discussed.

The study examines the changes in audit market concentration, auditor choice and audit quality in Russia following International Financial Reporting Standards (IFRS) adoption. Scholars have called for further examination of the effects of IFRS adoption on auditors, with an emphasis on the importance of analyzing emerging markets that are characterized by enforcement challenges and lack of proper infrastructure. It focuses on a unique feature of Russian companies – dual audits under Russian Accounting Standards (RAS) and IFRS – and investigates changes in audit concentration and audit quality for the two audit markets.

The authors rely on the audited financial statements of Russian public companies and perform pre-/post-IFRS adoption estimation using a logit regression to ascertain whether public firms change auditors from local firms with limited IFRS expertise to those with global reputation, namely Big 4 audit firms. Further, they examine whether the change in audit market concentration post-2012 affects audit quality as proxied by companies' propensity to receive a modified audit opinion and discretionary accruals. Auditor attributes were hand-collected from audited financial statements and matched with financial variables from Datastream.

The IFRS audit market was dominated by the Big 4 audit firms prior to 2012, and there is strong evidence that audit market share (concentration) increases for IFRS reports but not for RAS reports. In addition, companies are more likely to choose a Big 4 audit firm for an RAS audit, conditional upon a Big 4 firm conducting the IFRS audit. The authors do not find evidence of decrease in the probability of audit firms issuing a modified audit opinion under either RAS or IFRS, indicating that, in the Russian setting, increased auditor concentration post-IFRS adoption does not lead to enhanced risk or decline in audit quality. Moreover, they find that discretionary accruals decline post-2012. Overall, the findings indicate that the concern of global regulators regarding audit market concentration is not justified.

The Russian reporting environment is unique and generally characterized by significant agency problems, and the study’s estimation sample is not large, compared to prior studies conducted predominantly in Western jurisdictions. Nevertheless, the authors shed light on the audit concentration phenomenon within emerging markets, for which empirical evidence is scarce. Future research could explore the impact of other capital market events and exogenous shocks, not limited to IFRS adoption, on the characteristics of Russia's audit market.

The IFRS reporting regime is commonly associated with enhanced reporting quality and improved information transparency among public companies. Yet, impairment of audit quality as a result of IFRS-driven increase in audit market share of Big 4 can potentially negate these capital market effects. This study shows that the concerns of global regulators are not valid and that audit quality does not change with increased share of Big 4 post-IFRS adoption.

Dual audits, whereby companies must prepare two sets of financial statements per the IFRS mandate, are not unique to Russia, and the evidence of IFRS reporting on the structural changes in the audit market and implications for audit quality under a dual regime is scarce. Accordingly, the study's findings are important and timely and are expected to aid regulators of countries that have announced or are contemplating the adoption of IFRS for public reporting purposes.