You can find some useful tips in our how-to guide.
The maximum length of your abstract should be 250 words in total, including keywords and article classification (see the sections below).
Your submission should include up to 12 appropriate and short keywords that capture the principal topics of the paper. Our how to guide contains some practical guidance on choosing search-engine friendly keywords.
Please note, while we will always try to use the keywords you’ve suggested, the in-house editorial team may replace some of them with matching terms to ensure consistency across publications and improve your article’s visibility.
During the submission process, you will be asked to select a type for your paper; the options are listed below. If you don’t see an exact match, please choose the best fit:
You will also be asked to select a category for your paper. The options for this are listed below. If you don’t see an exact match, please choose the best fit:
Reports on any type of research undertaken by the author(s), including:
Covers any paper where content is dependent on the author's opinion and interpretation. This includes journalistic and magazine-style pieces.
Describes and evaluates technical products, processes or services.
Focuses on developing hypotheses and is usually discursive. Covers philosophical discussions and comparative studies of other authors’ work and thinking.
Describes actual interventions or experiences within organizations. It can be subjective and doesn’t generally report on research. Also covers a description of a legal case or a hypothetical case study used as a teaching exercise.
This category should only be used if the main purpose of the paper is to annotate and/or critique the literature in a particular field. It could be a selective bibliography providing advice on information sources, or the paper may aim to cover the main contributors to the development of a topic and explore their different views.
Provides an overview or historical examination of some concept, technique or phenomenon. Papers are likely to be more descriptive or instructional (‘how to’ papers) than discursive.
Headings must be concise, with a clear indication of the required hierarchy.
The preferred format is for first level headings to be in bold, and subsequent sub-headings to be in medium italics.
Notes or endnotes should only be used if absolutely necessary. They should be identified in the text by consecutive numbers enclosed in square brackets. These numbers should then be listed, and explained, at the end of the article.
All figures (charts, diagrams, line drawings, webpages/screenshots, and photographic images) should be submitted electronically. Both colour and black and white files are accepted.
There are a few other important points to note:
Tables should be typed and submitted in a separate file to the main body of the article. The position of each table should be clearly labelled in the main body of the article with corresponding labels clearly shown in the table file. Tables should be numbered consecutively in Roman numerals (e.g. I, II, etc.).
Give each table a brief title. Ensure that any superscripts or asterisks are shown next to the relevant items and have explanations displayed as footnotes to the table, figure or plate.
Where tables, figures, appendices, and other additional content are supplementary to the article but not critical to the reader’s understanding of it, you can choose to host these supplementary files alongside your article on Insight, Emerald’s content-hosting platform (this is Emerald's recommended option as we are able to ensure the data remain accessible), or on an alternative trusted online repository. All supplementary material must be submitted prior to acceptance.
Emerald recommends that authors use the following two lists when searching for a suitable and trusted repository:
, you must submit these as separate files alongside your article. Files should be clearly labelled in such a way that makes it clear they are supplementary; Emerald recommends that the file name is descriptive and that it follows the format ‘Supplementary_material_appendix_1’ or ‘Supplementary tables’. All supplementary material must be mentioned at the appropriate moment in the main text of the article; there is no need to include the content of the file only the file name. A link to the supplementary material will be added to the article during production, and the material will be made available alongside the main text of the article at the point of EarlyCite publication.
Please note that Emerald will not make any changes to the material; it will not be copy-edited or typeset, and authors will not receive proofs of this content. Emerald therefore strongly recommends that you style all supplementary material ahead of acceptance of the article.
Emerald Insight can host the following file types and extensions:
, you should ensure that the supplementary material is hosted on the repository ahead of submission, and then include a link only to the repository within the article. It is the responsibility of the submitting author to ensure that the material is free to access and that it remains permanently available. Where an alternative trusted online repository is used, the files hosted should always be presented as read-only; please be aware that such usage risks compromising your anonymity during the review process if the repository contains any information that may enable the reviewer to identify you; as such, we recommend that all links to alternative repositories are reviewed carefully prior to submission.
Please note that extensive supplementary material may be subject to peer review; this is at the discretion of the journal Editor and dependent on the content of the material (for example, whether including it would support the reviewer making a decision on the article during the peer review process).
All references in your manuscript must be formatted using one of the recognised Harvard styles. You are welcome to use the Harvard style Emerald has adopted – we’ve provided a detailed guide below. Want to use a different Harvard style? That’s fine, our typesetters will make any necessary changes to your manuscript if it is accepted. Please ensure you check all your citations for completeness, accuracy and consistency.
References to other publications in your text should be written as follows:
, 2006) Please note, ‘ ' should always be written in italics.A few other style points. These apply to both the main body of text and your final list of references.
At the end of your paper, please supply a reference list in alphabetical order using the style guidelines below. Where a DOI is available, this should be included at the end of the reference.
Surname, initials (year), , publisher, place of publication.
e.g. Harrow, R. (2005), , Simon & Schuster, New York, NY.
Surname, initials (year), "chapter title", editor's surname, initials (Ed.), , publisher, place of publication, page numbers.
e.g. Calabrese, F.A. (2005), "The early pathways: theory to practice – a continuum", Stankosky, M. (Ed.), , Elsevier, New York, NY, pp.15-20.
Surname, initials (year), "title of article", , volume issue, page numbers.
e.g. Capizzi, M.T. and Ferguson, R. (2005), "Loyalty trends for the twenty-first century", , Vol. 22 No. 2, pp.72-80.
Surname, initials (year of publication), "title of paper", in editor’s surname, initials (Ed.), , publisher, place of publication, page numbers.
e.g. Wilde, S. and Cox, C. (2008), “Principal factors contributing to the competitiveness of tourism destinations at varying stages of development”, in Richardson, S., Fredline, L., Patiar A., & Ternel, M. (Ed.s), , Griffith University, Gold Coast, Qld, pp.115-118.
Surname, initials (year), "title of paper", paper presented at [name of conference], [date of conference], [place of conference], available at: URL if freely available on the internet (accessed date).
e.g. Aumueller, D. (2005), "Semantic authoring and retrieval within a wiki", paper presented at the European Semantic Web Conference (ESWC), 29 May-1 June, Heraklion, Crete, available at: http://dbs.uni-leipzig.de/file/aumueller05wiksar.pdf (accessed 20 February 2007).
Surname, initials (year), "title of article", working paper [number if available], institution or organization, place of organization, date.
e.g. Moizer, P. (2003), "How published academic research can inform policy decisions: the case of mandatory rotation of audit appointments", working paper, Leeds University Business School, University of Leeds, Leeds, 28 March.
(year), "title of entry", volume, edition, title of encyclopaedia, publisher, place of publication, page numbers.
e.g. (1926), "Psychology of culture contact", Vol. 1, 13th ed., Encyclopaedia Britannica, London and New York, NY, pp.765-771.
(for authored entries, please refer to book chapter guidelines above)
Surname, initials (year), "article title", , date, page numbers.
e.g. Smith, A. (2008), "Money for old rope", , 21 January, pp.1, 3-4.
(year), "article title", date, page numbers.
e.g. (2008), "Small change", 2 February, p.7.
Surname, initials (year), "title of document", unpublished manuscript, collection name, inventory record, name of archive, location of archive.
e.g. Litman, S. (1902), "Mechanism & Technique of Commerce", unpublished manuscript, Simon Litman Papers, Record series 9/5/29 Box 3, University of Illinois Archives, Urbana-Champaign, IL.
If available online, the full URL should be supplied at the end of the reference, as well as the date that the resource was accessed.
Surname, initials (year), “title of electronic source”, available at: persistent URL (accessed date month year).
e.g. Weida, S. and Stolley, K. (2013), “Developing strong thesis statements”, available at: https://owl.english.purdue.edu/owl/resource/588/1/ (accessed 20 June 2018)
Standalone URLs, i.e. those without an author or date, should be included either inside parentheses within the main text, or preferably set as a note (Roman numeral within square brackets within text followed by the full URL address at the end of the paper).
Surname, initials (year), , name of data repository, available at: persistent URL, (accessed date month year).
e.g. Campbell, A. and Kahn, R.L. (2015), , ICPSR07218-v4, Inter-university Consortium for Political and Social Research (distributor), Ann Arbor, MI, available at: https://doi.org/10.3886/ICPSR07218.v4 (accessed 20 June 2018)
There are a number of key steps you should follow to ensure a smooth and trouble-free submission.
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Emerald’s manuscript transfer service takes the pain out of the submission process if your manuscript doesn’t fit your initial journal choice. Our team of expert Editors from participating journals work together to identify alternative journals that better align with your research, ensuring your work finds the ideal publication home it deserves. Our dedicated team is committed to supporting authors like you in finding the right home for your research.
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Our Manuscript Transfer Service page has more information on the process.
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| The only time we will ever ask you for money to publish in an Emerald journal is if you have chosen to publish via the gold open access route. You will be asked to pay an APC (article-processing charge) once your paper has been accepted (unless it is a sponsored open access journal), and never at submission.
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CiteScore 2023
CiteScore is a simple way of measuring the citation impact of sources, such as journals.
Calculating the CiteScore is based on the number of citations to documents (articles, reviews, conference papers, book chapters, and data papers) by a journal over four years, divided by the number of the same document types indexed in Scopus and published in those same four years.
For more information and methodology visit the Scopus definition
CiteScore Tracker 2024
(updated monthly)
CiteScore Tracker is calculated in the same way as CiteScore, but for the current year rather than previous, complete years.
The CiteScore Tracker calculation is updated every month, as a current indication of a title's performance.
2023 Impact Factor
The Journal Impact Factor is published each year by Clarivate Analytics. It is a measure of the number of times an average paper in a particular journal is cited during the preceding two years.
For more information and methodology see Clarivate Analytics
5-year Impact Factor (2023)
A base of five years may be more appropriate for journals in certain fields because the body of citations may not be large enough to make reasonable comparisons, or it may take longer than two years to publish and distribute leading to a longer period before others cite the work.
Actual value is intentionally only displayed for the most recent year. Earlier values are available in the Journal Citation Reports from Clarivate Analytics .
Time to first decision
Time to first decision , expressed in days, the "first decision" occurs when the journal’s editorial team reviews the peer reviewers’ comments and recommendations. Based on this feedback, they decide whether to accept, reject, or request revisions for the manuscript.
Data is taken from submissions between 1st June 2023 and 31st May 2024
Acceptance to publication
Acceptance to publication , expressed in days, is the average time between when the journal’s editorial team decide whether to accept, reject, or request revisions for the manuscript and the date of publication in the journal.
Data is taken from the previous 12 months (Last updated July 2024)
Acceptance rate
The acceptance rate is a measurement of how many manuscripts a journal accepts for publication compared to the total number of manuscripts submitted expressed as a percentage %
Data is taken from submissions between 1st June 2023 and 31st May 2024 .
This figure is the total amount of downloads for all articles published early cite in the last 12 months
(Last updated: July 2024)
Peer review process.
This journal engages in a double-anonymous peer review process, which strives to match the expertise of a reviewer with the submitted manuscript. Reviews are completed with evidence of thoughtful engagement with the manuscript, provide constructive feedback, and add value to the overall knowledge and information presented in the manuscript.
The mission of the peer review process is to achieve excellence and rigour in scholarly publications and research.
Our vision is to give voice to professionals in the subject area who contribute unique and diverse scholarly perspectives to the field.
The journal values diverse perspectives from the field and reviewers who provide critical, constructive, and respectful feedback to authors. Reviewers come from a variety of organizations, careers, and backgrounds from around the world.
All invitations to review, abstracts, manuscripts, and reviews should be kept confidential. Reviewers must not share their review or information about the review process with anyone without the agreement of the editors and authors involved, even after publication. This also applies to other reviewers’ “comments to author” which are shared with you on decision.
Discover practical tips and guidance on all aspects of peer review in our reviewers' section. See how being a reviewer could benefit your career, and discover what's involved in shaping a review.
More reviewer information
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Management Research: Journal of the Iberoamerican Academy of Management publishes high-quality research in the field of general management and surrounding fields with a viewpoint on management.
Management Research (MRJIAM) , the official journal of The Iberoamerican Academy of Management (an affiliate of the Academy of Management), provides a rigorous forum for the publication of high-quality peer-reviewed articles covering all major disciplines in management with an interest in Iberoamerican issues. Articles, including review articles, empirical and conceptual, which display thoughtful, accurate research and be rigorous in all regards, are most welcome. Authors can submit their papers in English, Spanish or Portuguese for review purposes, although all papers are published in English only. Management Research welcomes papers, including cross-disciplinary work, on the following areas (but is not limited to):
The journal seeks to provide a rapid peer review process (the average timeframe from submission to initial decision in 2016 was 32 days) with high-quality reviews from leading scholars in the field (including the members of the Editorial Advisory Board ) and works with authors to bring papers of high quality to publication.
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Modeling Economic Growth in Contemporary Russia
ISBN : 978-1-78973-266-5 , eISBN : 978-1-78973-265-8
Publication date: 23 May 2019
(2019), "Prelims", Sergi, B.S. (Ed.) Modeling Economic Growth in Contemporary Russia , Emerald Publishing Limited, Leeds, pp. i-xx. https://doi.org/10.1108/978-1-78973-265-820191013
Emerald Publishing Limited
Copyright © 2019 Emerald Publishing Limited
MODELING ECONOMIC GROWTH IN CONTEMPORARY RUSSIA
BRUNO S. SERGI
Harvard University, USA
University of Messina, Italy
United Kingdom – North America – Japan – India – Malaysia – China
Howard House, Wagon Lane, Bingley BD16 1WA, UK
First edition 2019
Copyright © 2019 Emerald Publishing Limited
Reprints and permissions service
Contact: [email protected]
No part of this book may be reproduced, stored in a retrieval system, transmitted in any form or by any means electronic, mechanical, photocopying, recording or otherwise without either the prior written permission of the publisher or a licence permitting restricted copying issued in the UK by The Copyright Licensing Agency and in the USA by The Copyright Clearance Center. Any opinions expressed in the chapters are those of the authors. Whilst Emerald makes every effort to ensure the quality and accuracy of its content, Emerald makes no representation implied or otherwise, as to the chapters’ suitability and application and disclaims any warranties, express or implied, to their use.
British Library Cataloguing in Publication Data
A catalogue record for this book is available from the British Library
ISBN: 978-1-78973-266-5 (Print)
ISBN: 978-1-78973-265-8 (Online)
ISBN: 978-1-78973-267-2 (Epub)
Figure 1.1. | A Synopsis of the Finance–Growth Link’s Transmission Mechanism. | 5 |
Figure 2.1. | Ruble/USD Exchange Rate and Urals, USD a Barrel. | 41 |
Figure 2.2. | Change in Risk Premium in Russia and Emerging Markets (Base Points). | 41 |
Figure 2.3. | The Bank of Russia: Monetary Policy Transmission Mechanism Channels. | 43 |
Figure 2.4. | Interest Rates on Banks’ Ruble Transactions and Bank of Russia Key Rate (% p.a., Unless Indicated Otherwise). | 44 |
Figure 2.5. | Contribution of Various Components to Annual Growth of Banks’ Loan Portfolio (percentage point, Unless Indicated Otherwise). | 45 |
Figure 2.6. | Russia: Investment Activity Indicators (Seasonally Adjusted, Growth as % on January 2014). | 45 |
Figure 2.7. | Estimates of Household Inflation Expectations in Russia for One Year Ahead (%). | 46 |
Figure 2.8. | Structure of Existing Credit Institutions in Russia (Number of Institutions at the Beginning of the Year). | 48 |
Figure 2.9. | The Russian Banking Sector Assets, by Business Model, %. | 48 |
Figure 2.10. | Dynamics of Key Indicators of the Structure of Assets, %. | 49 |
Figure 2.11. | Key Indicators of Banking Sector, % of GDP. | 50 |
Figure 2.12. | Dynamics of Elasticity of the Money Supply to Monetary Base Changes and GDP Growth Rates in Russia for the Period of 2008–2018 (January–September). | 55 |
Figure 2.13. | Dynamics of the Multiplier as Well as of GDP Growth Rates in Russia for the Period of 2008–2018 (January–September). | 56 |
Figure 2.14. | Dynamics of the Numerator (1 + / ) and Denominator (1 + / ) of the Money Multiplier Equation as well as of the Inflation ( ) in Russia for the Period of 2008–2018 (January–September). | 57 |
Figure 3.1. | Russia: Different Budget Rules under Baseline Oil Prices. | 79 |
Figure 3.2. | Calculation Table in MS Excel According to the Mathematical Formalisms (1) and (2). | 83 |
Figure 3.3. | Interval Forecast GDP for 2018, Constructed with the Help of Holt-Winters Model Based on GDP for 2002–2017 for Parameter Values. | 84 |
Figure 3.4. | Growth Rates of the Russian GDP for the Period of 2002–2018 (Forecast) (in %). | 85 |
Figure 3.5. | Aggregate Share of Public Sector in GDP of Russia in 2006–2016 (in %). | 86 |
Figure 3.6. | GDP Growth Rates, Federal Budget Revenues, and Expenditures in 2002–2017 (in %). | 87 |
Figure 3.7. | Dynamics of Parameters of Federal Budget Stability in Russia in 2001–2017 (Rubles). | 87 |
Figure 4.1. | Outward FDI, Russia. | 102 |
Figure 5.1. | Primary Indicators of Innovation: The International Comparison. | 134 |
Figure 5.2. | Dynamics of Basic Indicators of Innovation in Russia. | 134 |
Figure 5.3. | Factors Impeding Innovation in Russian Industry. | 135 |
Figure 6.1. | Four Immediate Factors that Break Down Learning. | 172 |
Figure 6.2. | The Model of Real Cognitive Consciousness of Students. | 175 |
Figure 6.3. | Cognitive, Socioemotional, and Technical Skills Interact. | 183 |
Figure 6.4. | The Twenty-first-century Skills. | 186 |
Figure 6.5. | OECD: Model of Educational Achievements – 2030. | 188 |
Figure 6.6. | Human Capital Index versus GDP Per Capita. | 190 |
Figure 6.7. | Learning-adjusted Years of School (Learning Gap). | 191 |
Figure 6.8. | Dynamics of GDP of Russia in the Scenarios: (1) Forecast, (2) Reduction in the Students’ Educational Failure, (3) Reduction in the Students’ Economic Failure for the Period of 2019–2025 (in Billion Rubles). | 196 |
Figure 7.1. | Budget Expenditure of Some National Government on Infrastructure, % of Total Fixed Assets. | 211 |
Figure 7.2. | Budget System’s Expenditures on Infrastructure in Russia for the Period of 2012–2017, Billion Rubles. | 213 |
Figure 7.3. | State Share in Fixed Assets Investments in Russia for the Period of 2010–2017, Billion Rubles. | 214 |
Figure 7.4. | Dynamics of Infrastructure Investments and Needs in Russia, Trillion Rubles. | 216 |
Figure 7.5. | The Volume of Funds that could be Invested in Infrastructure Projects in Russia in the Perspective of 2018–2020 (in ). | 218 |
Figure 7.6. | Total Infrastructure Investment Needs for the Period 2018–2022, as a Percentage of GDP Per Year. | 221 |
Figure 7.7. | Dynamics and Trends of Quarterly Changes in Revenues and Expenditures of the Federal Budget of the Russian Federation for the Period of 2001–2018 (in Rubles). | 222 |
Figure 7.8. | The Dynamics of Quarterly GDP Growth Rates for the Period of 2002–2017 with the Forecast for 2018 and the Corresponding Trend on Average. | 223 |
Figure 7.9. | Federal Budget Spending on Infrastructure for the Period of 2012–2020 (Forecast) in Billions of Rubles and the Change in Their Value as a Share of GDP in Percent. | 224 |
Figure 7.10. | Regression of the Growth Rate of GDP by the Growth Rate of Expenditure. | 227 |
Figure 7.11. | Dynamics of the Effect of Scale Obtained from Attracting Private Investments to the Rouble of Budget Funds into the Infrastructure Projects in Current Prices (in Billion Rubles). | 228 |
Figure 8.1. | The Volume of Import, Export, and Balance of Foreign Trade and Production in 2005–2018 and the Forecast for 2019–2024 (All Other Conditions Being Equal). | 238 |
Figure 8.2. | Dynamics of the Index of Animal Breeding and Crop Farming in 2005–2018 and Forecast for 2019–2024 (All Other Conditions Being Equal). | 238 |
Figure 8.3. | Dynamics of Wear of Fixed Funds in 2005–2018 and the Forecast for 2019–2024 (All Other Conditions Being Equal). | 239 |
Figure 8.4. | Dynamics of Implementation of Fixed Funds in 2005–2018 and the Forecast for 2019–2024 (All Other Conditions Being Equal). | 239 |
Figure 8.5. | Dynamics of Values of the Food Security Index in Russia in 2012–2018 and Forecast Scenarios of Its Values for 2019–2024. | 243 |
Figure 9.1. | Displacement of the Proportion of Financing of the Projects “State Private Capital” Depending on the State of the Economy. | 253 |
Figure 9.2. | Model of the Smart Project Management System. | 254 |
Figure 9.3. | The Model of the Business Unit That Implements the Smart Project. | 255 |
Figure 9.4. | Classification of Factors in the Implementation of Smart Projects. | 256 |
Figure 9.5. | Modular Evaluation of the Nano-efficiency of PPP Projects. | 259 |
Figure 9.6. | Basic Elements of Smart City. | 265 |
Figure 9.7. | Level of the Smart Economy. | 265 |
Figure 9.8. | Level of Smart Environment. | 266 |
Figure 9.9. | Level of Smart Infrastructure. | 266 |
Figure 9.10. | Level of Smart Governance. | 267 |
Figure 9.11. | Level of Smart Human Capital. | 267 |
Figure 9.12. | Level of Smart Technology. | 268 |
Bruno S. Sergi teaches on Emerging Markets and the Political Economy of Russia and China at Harvard University; he is an Associate of the Harvard's Davis Center for Russian and Eurasian Studies and the Harvard Ukrainian Research Institute. He also teaches international economics at the University of Messina. He is the Series Editor of Cambridge Elements in the Economics of Emerging Markets , Co-series Editor of the Emerald Publishing book series Lab for Entrepreneurship and Development , an Associate Editor of The American Economist , and Co-founder and Scientific Director of the International Center for Emerging Markets Research at Peoples’ Friendship University of Russia (RUDN) University in Moscow. He is the founder and Editor-in-Chief of International Journal of Trade and Global Markets, International Journal of Economic Policy in Emerging Economies , and International Journal of Monetary Economics and Finance . He holds a Ph.D. in economics from the University of Greenwich Business School – London.
Inna Andronova is a Doctor of Economics and Professor of the Department of International Economic Relations of the Peoples’ Friendship University of Russia (RUDN). Dr Andronova is author of more than 80 scientific papers on economic security and the economic interests of Russia in the regions of the world, including the monographs External Economic Security of Russia: Theory and Practice , External Economic Aspects of the National Interests of the Russian Federation in the Post-Soviet Space , and External Economic Interests of Russia in the Transcaucasian Countries , Les interest économics de la Russie, de l’Union europeenne et de la Chine sur l’espace postsoviétique , and Russia and South Africa: Innovative Cooperation for Development .
Nina M. Baranova graduated from Lomonosov Moscow State University (Faculty of Computational Mathematics and Cybernetics) in 1992. In 2005, she got a degree of Candidate of Pedagogic Sciences from the Moscow State Regional University. Since 1993 she has been working at the Peoples’ Friendship University of Russia (RUDN; a Senior Lecturer at the Department of Mathematical Analysis (1993–2006), an Associate Professor at the Department of Economics and Mathematics Modeling (from 2007 to the present)). She has publications indexed by RISC (RF) and SSRN. Her scientific interests include the following: information technologies in economics and education, the economics of knowledge, human capital and its role in the economy of Russia and other countries, and intellectual resource of the modern economy.
Andrey Berezin is Director for Development for International Center for Emerging Markets Research at RUDN University, Moscow. His areas of interests are energy efficiency, risk analysis, strategy, energy conservation, sustainability, development of territories, global business, and public–private partnerships. Andrey took part in big infrastructure projects and development of waste heat recovery technology and natural gas vehicles in the Russian oil and gas sector. Andrey is a graduate of Harvard University, Ural Federal University, and RUDN University with graduate degrees in Civil Engineering, Investment Management, Finance, and International Economics.
Aleksei V. Bogoviz is a Doctor of Economics, Professor at National Research University “Higher School of Economics,” Moscow, Russia. Sphere of scientific interests: economic growth, sustainable development, globalization, developing countries, institutionalization of social development, planning of development and strategic planning, agriculture, agro-industrial complex, digital economy, state management. He has more than 200 publications in Russian and foreign peer-reviewed journals and books.
Vasiliy I. Dikhtiar received a Diploma of Higher Education of the Moscow State University (Faculty of Mathematics and Mechanics) in 1969. In 1984, by the decision of the Council of the Laboratory of Computer Technology and Automation of the Joint Institute for Nuclear Research, he received a degree of Candidate of Physics and Mathematics. In 2000, he received the title of Associate Professor by the decision of the Ministry of Education of the Russian Federation. He is currently a Deputy Director of the Hotel Business and Tourism Institute, Peoples’ Friendship University of Russia (RUDN University), and Associate Professor of the economics and mathematics modeling department, Peoples’ Friendship University of Russia. His scientific interests lie in the areas of bifurcation effects’ modeling, as well as tourism, hotel business, and service.
Natalia Gorodnova is a Doctor of Science in Economics and Professor at the Graduate School of Economics and Management, Ural Federal University in Yekaterinburg, Russia, where she teaches and leads a research program within legal regulation of economic activity program. Her research, teaching, and community service interests include innovation management, public economics, risk management, and insurance, development economics, and formation of regional medical cluster. Their current project is “The formation of public–private partnerships (PPP).” Natalia researches public economics, risk management and development economics, civil engineering, smart city concept, economics and management in construction, information systems, real estate economics, and green economics, urban planning, environmental impact assessment, and sustainable development.
Natalia Guseva is a Professor at the School of Business and Management, and the Director of the program “ Doing Business in Russia ” for the National Research University Higher School of Economics, Moscow. Natalia Guseva has a PhD in Management Sciences (Université Paris Dauphine, Paris, France) and Sociological Sciences (University of Economics and Finance, Saint Petersburg, Russia). Dr Guseva has published more than 110 research papers, including refereed articles and books. Her major scientific interests are modern management trends, organizational capabilities, cross-cultural management and negotiations in a cross-cultural context, foreign professionals, etc. Dr Guseva was a Senior Expert of the World Bank and the European Business Club, Moscow. She was a Visiting Research Professor at the School of Business and Public Management, The George Washington University, Washington, DC, USA, and a Lecturer at the School of Business, Buckinghamshire College, Brunel University, London, UK. She is a Member of the Association of International Business (AIB), the Association of North America Higher Education International, USA, and the French – Russian Association “Cercle Kondratieff,” France.
Konstantin V. Krinichansky is a Professor of the Financial Markets and Banks Department at Financial University under the Government of the Russian Federation. He earned the Doctor of Sciences in Economics from Moscow State University. He has published many articles in journals and international conferences, as well as book chapters and research monographs. His research areas include finance–growth nexus, the origin and development of the financial market and its institutions, and spatial economic development. Since 2016, he has been a Member of the Monetary Research Center (Sofia, Bulgaria). Dr Krinichansky is a Member of the editorial board of Regional Economics: Theory and Practice (Russia). In 2015, he was awarded a Certificate of Excellence in Teaching and Research by the Ministry of Education and Science of Russia.
Mikhail Kuzyk is a Deputy Director of the Centre for Industrial Policy Studies at the National Research University Higher School of Economics (Moscow, Russia). He graduated from Moscow Institute of Physics and Technology in 1999 and received his PhD degree in Economics in 2004. His fields of expertise include industrial policy, science, technology, and innovation policy, firm behavior, public policy evaluation, development institutions, state-owned companies, and privatization.
Andrey I. Pilipenko received his Diploma of Higher Education from Leningrad State University (Faculty of Mathematics and Mechanics) in 1972. In 1984 he received his degree of Candidate of Science in Physics and Mathematics from the Institute of Physical Chemistry of the USSR Academy of Science. In 1998 he received a degree of Doctor of Pedagogical Sciences from Russian Academy of Education. Being Full Professor for 40 years, he has been working as a Professor at many Russian universities: Lomonosov Moscow State University, Russian Academy of National Economy under the Government of the Russian Federation, etc. He has been invited as a Professor by Gumilyov Eurasian National University (Kazakhstan). He is currently a Professor at the “Institute of Management and Marketing” Department of the Russian Presidential Academy of National Economy and Public Administration. He has many publications, indexed by RISC (RF), Scopus, and SSRN. His scientific interests lie in the areas of bifurcation effect modeling in macroeconomics on the base of shocks theory, modeling factors of national financial stability, assessment of interference of monetary and fiscal policies, as well as psychological and cognitive barriers in education.
Olga L. Pilipenko received her Diploma of Higher Education from the Moscow State Institute for Foreign Relations in 1975. In 1981, she received her degree of Candidate of Science in Economics from the Institute of Latin America of the USSR Academy of Science. In 1994 she received a degree of Doctor of Economics from Lomonosov’s Moscow State University. Being Full Professor for 40 years, she has been working as a Professor at many Russian universities: Lomonosov’s Moscow State University, Russian Academy of National Economy under the Government of the Russian Federation, etc. She has been invited as a Professor by Hearning Institute (Denmark) and by Aarhus University (Denmark) in the 1990s. She is currently a Professor of the “Institute of Management and Marketing” Department of the Russian Presidential Academy of National Economy and Public Administration. She has many publications, indexed by RISC (RF), Scopus, and SSRN. Her scientific interests lie in the areas of bifurcation effect modeling in global financial markets on the base of shocks theory, modeling factors of global financial stability, of monetary circulation, of public finance, of monetary and fiscal policies interaction, and of cyclical development of economic and financial systems.
Zoya A. Pilipenko received her Master’s degree in Economics from Lomonosov’s Moscow State University in 2003. In 2004 she received her degree of Candidate of Science in World Economy, Finance, and Banking from Lomonosov’s Moscow State University. In 2013 she received her degree of Doctor of Science in World Economy, Finance, and Banking from Lomonosov’s Moscow State University. She worked as a Financial Analyst for the Insurance Company “Gefest,” the Joint Stock Company “Sberbank of Russia,” Central Bank of Russia. She has had teaching and research experience with 50 publications in scientific journals. She has achieved certificates in banking and finance from practical seminars in Great Britain, Luxembourg, Austria, Italy, and France. She is currently a Head of the Group of Rating Agencies and Price Centers, Department of Financial Market Strategic Development, the Central Bank of the Russian Federation. Her scientific interests lie in the shocks theory and the impulse model of cyclical economic development as well as peculiar properties of monetary policy formation and implementation in connection with specific sectors of the financial market.
Elena G. Popkova is a Doctor of Economics, Professor, President of the Institute of Scientific Communications, Volgograd, Russia. Sphere of scientific interests: economic growth, sustainable development, globalization, humanization of economic growth, developing countries, institutionalization of social development, development planning, and strategic planning. She served as a guest editor of International Journal of Educational Management, Great Britain (special issue, 2016, 2018); International Journal of Trade and Global Markets, Switzerland (special issue, 2017); Journal of Entrepreneurship in Emerging Economies (special issue, 2017); Contributions to Economics (Springer books series). She has more than 300 publications in Russian and foreign peer-reviewed journals and books.
Yulia V. Ragulina is Doctor of Economics, Professor, Head of the Chair “Compliance and controlling” of the RUDN University, Moscow, Russia. She is an Honored Worker of science and technology of the Russian Federation and an Honored Worker of higher professional education. She is the author of more than 200 publications, including monographs on state control and audit, state and municipal management, and economics of municipal entities. She is a co-author of the works by the Harvard University researchers.
Vera Rebiazina , PhD, is an Associate Professor at Strategic Marketing Department and Academic Director of the Bachelor program “Marketing and Market Analytics,” National Research University Higher School of Economics, Moscow, Russia. She holds a PhD degree in Economics from the Graduate School of Management, Saint Petersburg State University. Her research interests include marketing, organization capabilities, marketing strategies in emerging markets, innovation marketing, e-commerce, and relationship marketing. Vera Rebiazina is the National Representative of Russia at the European Marketing Academy (EMAC) and a Member of American Marketing Academy (AMA), GAMMA, and the International Society for Professional Innovation Management (ISPIM). Vera Rebiazina is the Author of more than 50 publications on marketing in the leading Russian and international scientific journals.
Yuri Simachev is a Director for Economic Policy, Director of Centre for Industrial Policy Studies at National Research University – Higher School of Economics (Moscow, Russia). Dr Simachev has focused on recommendations for federal authorities on innovation and industrial policy, development institutes, private sector development, and SMEs. He is a Member of the Expert Council of the Russian Government. Dr Simachev is a Graduate of Lomonosov Moscow State University and Higher School of Economics. He is a Candidate of Science.
Nikolay V. Studenikin, Associate Professor of the Economic Policy and Public–private Partnership Department, graduated from the Lomonosov Moscow State University, The Faculty of Philosophy, the School of Political Science – Specialist (degree with honors), PhD in Political Science. His main fields of research and career interests include public–private partnership (PPP), sustainable development, green economy, and strategic communications. At Moscow State Institute of International Relations (MGIMO) he teaches such courses as corporate social responsibility and strategic communications in sustainable development. Dr Studenikin is the Author and Co-author of more than 50 scientific publications and books. In addition to his academic career, Nikolay V.Studenikin is a devoted promoter of socially oriented activities. Currently, he is the Director of the Foundation “New Quality of Life.”
Irina Vaslavskaya has Doctoral degrees in Economics. She began her professional career as a Senior, and then a Leading Researcher of the Department of Scientific Research Institute of Economics, the Russian Academy of Science (2000–2013). She was invited as an Associate Professor by many universities in Moscow, as well as by Kazan Federal University, the Russian Federation (2013–2015). Now she is a Head of the Department of Enterprises and Organizations’ Economics, Kazan Federal University (the Russian Federation) (2016–2018). She has numerous publications, scientific journals. Her scientific interests lie in the areas of institutional economic theory, public–private partnership organizational forms in Russia, state and public sector’s functions in economic systems, as well as factors of slowing economic growth at the globe.
Yan Vaslavskiy , PhD in Political Science, is Head of Department of Analytics and Expertise, State Duma of the Federal Assembly of the Russian Federation. He is an Associate Professor at the Department of Political Theory, MGIMO University. He was a Director of Rethinking Russia think tank (2015–2017), Director of the School of Government and International Affairs, MGIMO University (2013–2017), and held the position of APEC CEO Summit Program Director in 2012. He is a Member of the Board of the Russian Political Science Association and the Political Development Research Committee at the International Political Science Association. His principal research interests are domestic politics and foreign policies of Russia and the USA, problems of democratic development, world energy, and energy policy.
Elena B. Zavyalova is Head of the Economic Policy and Public–Private Partnership Department of MGIMO University, having graduated from MGIMO University, as Specialist (degree with honors), and has a PhD in Economics. She teaches different courses at MGIMO, such as Russian economy, economy of the former Soviet countries, national economic security, economic policy, public–private partnership, sustainable development, and international development assistance. Dr Zavyalova is an active participant in different international scientific programs, for instance, programs of the World Bank, Beijing Normal University (China), and others. She is a Co-author of several research papers for the Ministry of Economic Development of the Russian Federation, and Author of over 60 scientific publications. Dr Zavyalova has some official rewards – Certificate of Honor of the Council of the Federation of The Federal Assembly of The Russian Federation, Reward “200 Anniversary of the Ministry of the Foreign Affairs,” and others.
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Abstract. The need for an efficient enterprise risk management (ERM) has never been greater than today when organisations face complex and interconnected risks targeting their business models. Macroeconomics and geopolitical uncertainties, digital transformations of industries and sectors, cybersecurity, and climate change, among other trends ...
This paper systematically reviewed developments of RM research in HE from year 2005 to 2021, leads to a clearer understanding of RM issues in HE institutions. The findings allow interested parties to better understand RM and enables top management to create their own personalised list of drivers and implementation policies to respond to risks ...
Risk factors were also shown to be unavoidable; as a result, everyone needs to practice social responsibility in order to reduce the detrimental effects on the economy.,Future studies are required on risk identification, analysis, plan implementation, and control in the context of small and medium-sized enterprise risk management.,This work ...
Books in this series collect quantitative and qualitative studies in areas relating to finance insurance and risk management. Subjects of interest may include banking accounting auditing compliance sustainability behaviour management and business economics. In the disruption of political upheaval new technologies climate change and new ...
Explore our Accounting, finance & economics subject area to find out more. The Journal of Risk Finance provides a rigorous forum for the publication of high quality peer-reviewed theoretical and empirical research articles, by both academic and industry experts, related to financial risks and risk management.
Against the backdrop of the recent COVID-19 pandemic, which had far more effects than a financial crisis, the existing paper reviewed the state of current research in the realm of corporate governance and risk-management practices.,This study rigorously followed a systematic approach in identifying, selecting and critically synthesising the ...
Assoc. Prof. Peter Carey, Monash University, Australia. The special edition, "Risk Management, Governance and Assurance", calls for papers on the research and practice of risk management, corporate governance, management control and assurance. Risk management is increasingly viewed integral to corporate governance and organizational ...
Management Research Review ... you can choose to host these supplementary files alongside your article on Insight, Emerald's content-hosting platform (this is Emerald's recommended option as we are able to ensure the data remain accessible), or on an alternative trusted online repository. All supplementary material must be submitted prior to ...
Conceptualising Risk Assessment and Management across the Public Sector. ISBN: 978-1-80043-693-0, eISBN: 978-1-80043-692-3. Publication date: 26 January 2022. Permissions.
The aim of this paper is to present a comprehensive analysis of risk management in East Asia from 1998 to 2021 by using bibliometric methods and tools to explore research trends, hotspots, and directions for future research.,The data source for this paper is the Web of Science Core Collection, and 7,154 publications and related information have ...
This study reveals the significance of FMECA in healthcare risk management and benchmarking. FMECA helps identify system failures, develop prevention strategies, and evaluate effectiveness against industry benchmarks. It offers healthcare professionals a valuable tool to enhance patient safety and improve healthcare quality.
Besides, the researchers were also found highly satisfied in all aspects of features provided by the Emerald Insight database from searching techniques to its recency and adequacy of literature. Furthermore, the majority of researchers (84.53%) were found fully satisfied, whereas only 2.20% respondents were fully dissatisfied.
The article finds that understanding the risk management entails understanding the underlying factors that contribute to project risks. These risks are often the same, regardless of the nature of the project. The first step in risk assessment is risk identification. Once risk identification is complete, risk analysis is used to identify the ...
Cognitive Map of the System of Risk Management of the POS-loaning Process. 76: Figure 3. Enlarged Cognitive Map of Risk Management of the Processes of POS-crediting. 77: Figure 4. Comparison of the Results of Modeling of Strategies of Development of the Situation for the Values of Concepts X 0 and X 1. 81: Figure 5.
Management Research: Journal of the Iberoamerican Academy of Management publishes high-quality research in the field of general management and surrounding fields with a viewpoint on management. ... Emerald Insight can host the following file types and extensions: Adobe Acrobat (.pdf) MS Word document (.doc, .docx) MS Excel (.xls, xlsx)
Olga Tishchenko - Lecturer at the Department of General and Strategic Management at the National Research University Higher School of Economics, Moscow, Russia. She was nominated for Best Teacher award in 2017 and 2018. Her research interests include strategic management problematics, the evolution of management approaches and business education.
To bridge this gap, this research studied stock returns on exchanges of three developed countries where the ratio of gross domestic expenditure on R&D (GERD) to GDP is among the highest worldwide. In this study, the methodology of asset pricing empirical studies was adopted and it was further developed to analyze the causes of R&D risks.
Corporate risk-taking; Textual analysis; Acknowledgements. Financial support claim.: The authors acknowledge the "2022 Higher Education Scientific Research Planning Project" of the Chinese Association of Higher Education (project number: 22XX0417).
Management Research Review: Volume 47 Issue 9 Communication of emergent international management research. Subject: RSS feed. Table of contents ... Emerald Publishing Limited. Open Access: hybrid. Editors: Dr Jay Janney; Prof Lerong He; Further Information. About the journal (opens new window)
Therefore, an analysis of construction supply chain risk management from the perspective of social networks is essential to identify related stakeholders, their relationships and the social network risk factors.,About 65 risk factors, identified from literature and interviews, informed the development of a questionnaire for the study.
Originality/value. A risk-oriented approach to managing the social market economy is developed; it takes into account the specifics of the risk component of its functioning and development. The offered approach showed that the social market economy requires indirect regulation of risks through correction of institutions.
Design/methodology/approach. To be able to compare the results of this study and those reported by Moody et al. (and followers), the same quantitative data collection method (questionnaire) and variable measurement instruments were used. Specifically, questionnaire data were collected from a department within a Swedish governmental organization comprising 150 employees.
Her research, teaching, and community service interests include innovation management, public economics, risk management, and insurance, development economics, and formation of regional medical cluster. Their current project is "The formation of public-private partnerships (PPP)."