Intangible assets and the efficiency of manufacturing firms in the age of digitalisation: the Russian case

Aboal, D., & Tacsir, E. (2018). Innovation and productivity in services and manufacturing: the role of ICT. Industrial and Corporate Change, 28(2), 221–241. doi: 10.1093/icc/dtx030AboalD.TacsirE.2018Innovation and productivity in services and manufacturing: the role of ICTIndustrial and Corporate Change28222124110.1093/icc/dtx030Open DOISearch in Google Scholar

Adarov, A., & Stehrer, R. (2019). Tangible and Intangible Assets in the Growth Performance of the EU, Japan and the US. The Vienna Institute for International Economic Studies Research Report, 442, 1–44.AdarovA.StehrerR.2019Tangible and Intangible Assets in the Growth Performance of the EU, Japan and the USThe Vienna Institute for International Economic Studies Research Report442144Search in Google Scholar

Aghion, P., & Howitt, P. (2006). Appropriate growth policy: A unifying framework. Journal of the European Economic Association, 4(2–3), 269–314. doi:10.1162/jeea.2006.4.2-3.269AghionP.HowittP.2006Appropriate growth policy: A unifying frameworkJournal of the European Economic Association42–326931410.1162/jeea.2006.4.2-3.269Open DOISearch in Google Scholar

Aigner, D., Lovell, C., & Schmidt, P. (1977). Formulation and estimation of stochastic frontier production function models. Journal of Econometrics, 6(1), 21–37.AignerD.LovellC.SchmidtP.1977Formulation and estimation of stochastic frontier production function modelsJournal of Econometrics61213710.1016/0304-4076(77)90052-5Search in Google Scholar

Añón Higón, D., Gómez, J., & Vargas, P. (2017). Complementarities in innovation strategy: do intangibles play a role in enhancing firm performance? Industrial and Corporate Change, 26(5), 865–886.Añón HigónD.GómezJ.VargasP.2017Complementarities in innovation strategy: do intangibles play a role in enhancing firm performance?Industrial and Corporate Change26586588610.1093/icc/dtw055Search in Google Scholar

Apokin, Yu., & Ipatova, I. (2017). Components of Total Factor Productivity of the Russian Economy with Respect to Other Countries of the World: The Role of Technical Efficiency. Studies on Russian Economic Development, 28(1), 15–21. doi: 10.1134/S1075700717010026ApokinYu.IpatovaI.2017Components of Total Factor Productivity of the Russian Economy with Respect to Other Countries of the World: The Role of Technical EfficiencyStudies on Russian Economic Development281152110.1134/S1075700717010026Open DOISearch in Google Scholar

Australia Prime Minister's Industry 4.0 Taskforce. (2017). Industry 4.0 Testlabs in Australia Preparing for the Future. Retrieved from https://www.industry.gov.au/sites/default/files/July%202018/document/pdf/industry-4.0-testlabs-report.pdf?acsf_files_redirectAustralia Prime Minister's Industry 4.0 Taskforce2017Industry 4.0 Testlabs in Australia Preparing for the FutureRetrieved from https://www.industry.gov.au/sites/default/files/July%202018/document/pdf/industry-4.0-testlabs-report.pdf?acsf_files_redirectSearch in Google Scholar

Ayvazyan, S., Afanasev, M., & Rudenko, V. (2012). Some issues of specification of three-factor models of the company's production potential that take into account intellectual capital [Nekotorye voprosy specifikacii trekhfaktornyh modelej proizvodstvennogo potenciala kompanii, uchityvayushchih intellektual’nyj kapital]. Applied Econometrics, 27(3), 36–69.AyvazyanS.AfanasevM.RudenkoV.2012Some issues of specification of three-factor models of the company's production potential that take into account intellectual capital [Nekotorye voprosy specifikacii trekhfaktornyh modelej proizvodstvennogo potenciala kompanii, uchityvayushchih intellektual’nyj kapital]Applied Econometrics2733669Search in Google Scholar

Basu, S., & Fernald, J. (2007). Information and Communications Technology as a General-Purpose Technology: Evidence from US Industry Data. German Economic Review, 8, 146–173.BasuS.FernaldJ.2007Information and Communications Technology as a General-Purpose Technology: Evidence from US Industry DataGerman Economic Review814617310.1111/j.1468-0475.2007.00402.xSearch in Google Scholar

Battese, G. E., & Coelli, T. J. (1995). A model for technical inefficiency effects in a stochastic frontier production function for panel data. Empirical Economics, 20, 325–332. doi: 10.1007/BF01205442BatteseG. E.CoelliT. J.1995A model for technical inefficiency effects in a stochastic frontier production function for panel dataEmpirical Economics2032533210.1007/BF01205442Open DOISearch in Google Scholar

Bessonova, E. V. (2018). Analysis of Russian firms’ TFP growth in 2009–2015. Voprosy Ekonomiki, 7, 96–118. doi: 10.32609/0042-8736-2018-7-96-118BessonovaE. V.2018Analysis of Russian firms’ TFP growth in 2009–2015Voprosy Ekonomiki79611810.32609/0042-8736-2018-7-96-118Open DOISearch in Google Scholar

Bieńkowska, A. (2020). Controlling Effectiveness Model — empirical research results regarding the influence of control on organisational performance. Engineering Management in Production and Services, 12(3), 28–42. doi: 10.2478/emj-2020-0017BieńkowskaA.2020Controlling Effectiveness Model — empirical research results regarding the influence of control on organisational performanceEngineering Management in Production and Services123284210.2478/emj-2020-0017Open DOISearch in Google Scholar

BMWi. (2019). Case study on the Mittelstand 4.0 Competence Centres, Germany: Case study contribution to the OECD TIP Digital and Open Innovation project. Retrieved from https://www.innovationpol-icyplatform.org/www.innovationpolicyplatform.org/system/files/imce/SME4.0CompetenceCentres_Germany_TIPDigitalCaseStudy2019_1/index.pdfBMWi2019Case study on the Mittelstand 4.0 Competence Centres, Germany: Case study contribution to the OECD TIP Digital and Open Innovation projectRetrieved from https://www.innovationpol-icyplatform.org/www.innovationpolicyplatform.org/system/files/imce/SME4.0CompetenceCentres_Germany_TIPDigitalCaseStudy2019_1/index.pdfSearch in Google Scholar

BMWi. (2020). Intelligent transport systems in the field of road transport. Retrieved from https://www.bmvi.de/EN/Topics/Digital-Matters/Intelligent-Transport-Systems/intelligent-transport-systems.htmlBMWi2020Intelligent transport systems in the field of road transportRetrieved from https://www.bmvi.de/EN/Topics/Digital-Matters/Intelligent-Transport-Systems/intelligent-transport-systems.htmlSearch in Google Scholar

Bogliacino, F., & Pianta, M. (2016). The Pavitt Taxonomy, revisited: patterns of innovation in manufacturing and services. Economics & Politics, 33, 153–180. doi: 10.1007/s40888-016-0035-1BogliacinoF.PiantaM.2016The Pavitt Taxonomy, revisited: patterns of innovation in manufacturing and servicesEconomics & Politics3315318010.1007/s40888-016-0035-1Open DOISearch in Google Scholar

Bonanno, G. (2016). ICT and R&D as inputs or efficiency determinants? Analysing Italian manufacturing firms (2007–2009). Eurasian Business Review, 6(3), 383–404.BonannoG.2016ICT and R&D as inputs or efficiency determinants? Analysing Italian manufacturing firms (2007–2009)Eurasian Business Review6338340410.1007/s40821-015-0035-zSearch in Google Scholar

Bontempi, M. E., & Mairesse, J. (2015). Intangible capital and productivity at the firm level: A panel data assessment. Economics of Innovation and New Technology, 24, 22–51.BontempiM. E.MairesseJ.2015Intangible capital and productivity at the firm level: A panel data assessmentEconomics of Innovation and New Technology24225110.1080/10438599.2014.897859Search in Google Scholar

Borisova, E., Peresetsky, A., & Polishchuk, L., (2010). Stochastic frontier in non-profit associations’ performance assessment (the case of homeowners’ associations). Applied Econometrics, 20(4), 75–101.BorisovaE.PeresetskyA.PolishchukL.2010Stochastic frontier in non-profit associations’ performance assessment (the case of homeowners’ associations)Applied Econometrics20475101Search in Google Scholar

Borras, S., & Edquist, Ch. (2013). The Choice of Innovation Policy Instruments. Papers in Innovation Studies 2013/04, Lund University. Retrieved from https://charlesedquist.files.wordpress.com/2013/02/201304_borrasedquist-21.pdfBorrasS.EdquistCh.2013The Choice of Innovation Policy InstrumentsPapers in Innovation Studies 2013/04, Lund University. Retrieved from https://charlesedquist.files.wordpress.com/2013/02/201304_borrasedquist-21.pdf10.1016/j.techfore.2013.03.002Search in Google Scholar

Brasini, S., & Freo, M. (2012). The impact of information and communication technologies: an insight at micro-level on one Italian region. Economics of Innovation and New Technology, 21(2), 107–123. doi: 10.1080/10438599.2011.558175BrasiniS.FreoM.2012The impact of information and communication technologies: an insight at micro-level on one Italian regionEconomics of Innovation and New Technology21210712310.1080/10438599.2011.558175Open DOISearch in Google Scholar

Bresnahan T., & Trajtenberg, M. (1995). General purpose technologies ‘Engines of growth’? Journal of Econometrics, 65(1), 83–108.BresnahanT.TrajtenbergM.1995General purpose technologies ‘Engines of growth’?Journal of Econometrics6518310810.3386/w4148Search in Google Scholar

Brock G., & Ogloblin, C. (2018). Russian 1998–2007 TFP decomposed: some inspiration emerging from inherited Soviet legacy. Economic Change and Restructuring, 51(2), 135–151.BrockG.OgloblinC.2018Russian 1998–2007 TFP decomposed: some inspiration emerging from inherited Soviet legacyEconomic Change and Restructuring51213515110.1007/s10644-016-9196-8Search in Google Scholar

Brynjolfsson, E. (1993). The Productivity Paradox of Information Technology. Communications of the ACM, 36, 66–77. doi: 10.1145/163298.163309BrynjolfssonE.1993The Productivity Paradox of Information TechnologyCommunications of the ACM36667710.1145/163298.163309Open DOISearch in Google Scholar

Brynjolfsson, E., Rock, D., & Syverson, C. (2017). Artificial Intelligence and the Modern Productivity Paradox: A Clash of Expectations and Statistics. The Economics of Artificial Intelligence: An Agenda, 23–57.BrynjolfssonE.RockD.SyversonC.2017Artificial Intelligence and the Modern Productivity Paradox: A Clash of Expectations and StatisticsThe Economics of Artificial Intelligence: An Agenda235710.3386/w24001Search in Google Scholar

Cardona, M., Kretschmer, T., & Strobel, T. (2013). ICT and productivity: conclusions from the empirical literature. Information Economics and Policy, 25(3), 109–125. doi: 10.1016/j.infoecopol.2012.12.002CardonaM.KretschmerT.StrobelT.2013ICT and productivity: conclusions from the empirical literatureInformation Economics and Policy25310912510.1016/j.infoecopol.2012.12.002Open DOISearch in Google Scholar

Castiglione, C. (2012). Technical efficiency and ICT investment in Italian manufacturing firms. Applied Economics, 44(14), 1749–1763.CastiglioneC.2012Technical efficiency and ICT investment in Italian manufacturing firmsApplied Economics44141749176310.1080/00036846.2011.554374Search in Google Scholar

Castiglione, C., & Infante, D. (2014). ICTs and timespan in technical efficiency gains. A stochastic frontier approach over a panel of Italian manufacturing firms. Economic Modelling, 41, 55–65. doi: 10.1016/j.econmod.2014.04.021CastiglioneC.InfanteD.2014ICTs and timespan in technical efficiency gains. A stochastic frontier approach over a panel of Italian manufacturing firmsEconomic Modelling41556510.1016/j.econmod.2014.04.021Open DOISearch in Google Scholar

Caudill, S., & Ford, J., (1993). Biases in frontier estimation due to heteroscedasticity. Economics Letters, 41(1), 17–20.CaudillS.FordJ.1993Biases in frontier estimation due to heteroscedasticityEconomics Letters411172010.1016/0165-1765(93)90104-KSearch in Google Scholar

Chang, B., Huang, T., & Kuo, C. (2015). A comparison of the technical efficiency of accounting firms among the US, China, and Taiwan under the framework of a stochastic metafrontier production function. Journal of Productivity Analysis, 44(3), 337–349.ChangB.HuangT.KuoC.2015A comparison of the technical efficiency of accounting firms among the US, China, and Taiwan under the framework of a stochastic metafrontier production functionJournal of Productivity Analysis44333734910.1007/s11123-014-0397-8Search in Google Scholar

Chappell, N., & Jaffe, A. (2016). Intangible Investment and Firm Performance. Review of Industrial Organization, 52, 509–559.ChappellN.JaffeA.2016Intangible Investment and Firm PerformanceReview of Industrial Organization5250955910.1007/s11151-018-9629-9Search in Google Scholar

Chen, C., & Krumwiede, D. (2017). What makes a manufacturing firm effective for service innovation? The role of intangible capital under strategic and environmental conditions. International Journal of Production Economics, 193, 113–122. doi: 10.1016/j.ijpe.2017.07.007ChenC.KrumwiedeD.2017What makes a manufacturing firm effective for service innovation? The role of intangible capital under strategic and environmental conditionsInternational Journal of Production Economics19311312210.1016/j.ijpe.2017.07.007Open DOISearch in Google Scholar

Chun, N., & Ishaq, H. (2016). Intangible Investment and Changing Sources of Growth in Korea. Japanese Economic Review, 67(1), 50–76.ChunN.IshaqH.2016Intangible Investment and Changing Sources of Growth in KoreaJapanese Economic Review671507610.1111/jere.12079Search in Google Scholar

Coelli, T., Rahman, S., & Thirtle, C. (2003). A stochastic frontier approach to total factor productivity measurement in Bangladesh crop agriculture, 1961–92. Journal of International Development, 15, 321–333. doi:10.1002/jid.975CoelliT.RahmanS.ThirtleC.2003A stochastic frontier approach to total factor productivity measurement in Bangladesh crop agriculture, 1961–92Journal of International Development1532133310.1002/jid.975Open DOISearch in Google Scholar

Corrado, C., Haskel, J., Jona-Lasinio, C., & Iommi, M. (2013). Innovation and intangible investment in Europe, Japan, and the United States. Oxford Review of Economic Policy, 23(2), 261–286.CorradoC.HaskelJ.Jona-LasinioC.IommiM.2013Innovation and intangible investment in Europe, Japan, and the United StatesOxford Review of Economic Policy23226128610.1093/oxrep/grt017Search in Google Scholar

Corrado, C., Hulten, C., & Sichel, D. (2005). Measuring Capital and Technology: An Expanded Framework. In C. Corrado, J. Haltiwanger, & D. Sichel (Eds.), Measuring Capital in the New Economy (pp. 11–46). Chicago, USA: University of Chicago Press.CorradoC.HultenC.SichelD.2005Measuring Capital and Technology: An Expanded FrameworkInCorradoC.HaltiwangerJ.SichelD.(Eds.),Measuring Capital in the New Economy1146Chicago, USAUniversity of Chicago Press10.7208/chicago/9780226116174.003.0002Search in Google Scholar

Corrado, C., Hulten, C., & Sichel, D. (2009). Intangible Capital and U.S. Economic Growth. The Review of Income and Wealth, 55, 661–685.CorradoC.HultenC.SichelD.2009Intangible Capital and U.S. Economic GrowthThe Review of Income and Wealth5566168510.1111/j.1475-4991.2009.00343.xSearch in Google Scholar

Crass, D., & Peters, B. (2014). Intangible assets and firm-level productivity. Centre for European Research Discussion Paper, 14–120.CrassD.PetersB.2014Intangible assets and firm-level productivityCentre for European Research Discussion Paper1412010.2139/ssrn.2562302Search in Google Scholar

Dal Borgo, M., Goodridge, P., Haskel, J., & Pesole, A. (2013). Productivity and Growth in UK Industries: An Intangible Investment Approach. Oxford Bulletin of Economics and Statistics, 75, 806–834.Dal BorgoM.GoodridgeP.HaskelJ.PesoleA.2013Productivity and Growth in UK Industries: An Intangible Investment ApproachOxford Bulletin of Economics and Statistics7580683410.1111/j.1468-0084.2012.00718.xSearch in Google Scholar

David, P. (1990). The Dynamo and the Computer: An Historical Perspective on the Modern Productivity Paradox. American Economic Review: Papers and Proceedings, 80, 355–361.DavidP.1990The Dynamo and the Computer: An Historical Perspective on the Modern Productivity ParadoxAmerican Economic Review: Papers and Proceedings80355361Search in Google Scholar

de Rassenfosse, G. (2017). An assessment of how well we account for intangibles. Industrial and Corporate Change, 26(3), 517–534. doi: 10.1093/icc/dtw034de RassenfosseG.2017An assessment of how well we account for intangiblesIndustrial and Corporate Change26351753410.1093/icc/dtw034Open DOISearch in Google Scholar

Dedrick, J., Kraemer, K., & Shih, E. (2013). Information Technology and Productivity in Developed and Developing Countries. Journal of Management Information Systems, 30(1), 97–122. doi: 10.2753/MIS0742-1222300103DedrickJ.KraemerK.ShihE.2013Information Technology and Productivity in Developed and Developing CountriesJournal of Management Information Systems3019712210.2753/MIS0742-1222300103Open DOISearch in Google Scholar

Delbecque, V., Bounfour, A., & Barreneche, A. (2015). Intangibles and Value Creation at the Industrial Level: Delineating Their Complementarities. In A. Bounfour, & T. Miyagawa (Eds.), Intangibles, Market Failure and Innovation Performance (pp. 27–56). Cham, UK: Springer.DelbecqueV.BounfourA.BarrenecheA.2015Intangibles and Value Creation at the Industrial Level: Delineating Their ComplementaritiesInBounfourA.MiyagawaT.(Eds.),Intangibles, Market Failure and Innovation Performance2756Cham, UKSpringer10.1007/978-3-319-07533-4_3Search in Google Scholar

Dezhina, I., Ponomarev, A., & Frolov, A. (2015). Advanced Manufacturing Technologies in Russia: Outlines of a New Policy. Foresight-Russia, 9(1), 20–31.DezhinaI.PonomarevA.FrolovA.2015Advanced Manufacturing Technologies in Russia: Outlines of a New PolicyForesight-Russia91203110.17323/1995-459X.2015.1.20.31Search in Google Scholar

Dutz, M., Kannebley, S., Scarpelli, M., & Sharma, S. (2012). Measuring Intangible Assets in an Emerging Market Economy: An Application to Brazil. Policy Research Working Paper, No. 6142. Washington, DC: World Bank. Retrieved from https://openknowledge.world-bank.org/handle/10986/11972DutzM.KannebleyS.ScarpelliM.SharmaS.2012Measuring Intangible Assets in an Emerging Market Economy: An Application to BrazilPolicy Research Working Paper, No. 6142.Washington, DCWorld BankRetrieved from https://openknowledge.world-bank.org/handle/10986/1197210.1596/1813-9450-6142Search in Google Scholar

Ejdys, J. (2020). Trust-Based Determinants of Future Intention to Use Technology. Foresight and STI Governance, 14(1), 60–68. doi: 10.17323/2500-2597.2020.1.60.68EjdysJ.2020Trust-Based Determinants of Future Intention to Use TechnologyForesight and STI Governance141606810.17323/2500-2597.2020.1.60.68Open DOISearch in Google Scholar

European Commission. (2018). ICT innovation vouchers scheme for regions. Retrieved from https://ec.europa.eu/digital-single-market/en/ict-innovation-vouchers-scheme-regionsEuropean Commission2018ICT innovation vouchers scheme for regionsRetrieved from https://ec.europa.eu/digital-single-market/en/ict-innovation-vouchers-scheme-regionsSearch in Google Scholar

Farrell, M. (1957). The Measurement of Productive Efficiency. Journal of the Royal Statistical Society, 120(3), 253–290.FarrellM.1957The Measurement of Productive EfficiencyJournal of the Royal Statistical Society120325329010.2307/2343100Search in Google Scholar

Federal Aviation Administration. (2018). UAS Integration Pilot Program. Retrieved from https://www.faa.gov/uas/programs_partnerships/integration_pilot_program/Federal Aviation Administration2018UAS Integration Pilot ProgramRetrieved from https://www.faa.gov/uas/programs_partnerships/integration_pilot_program/Search in Google Scholar

Fleisher, B. M., McGuire, W. H., Smith, A. N., & Zhou, M. (2015). Knowledge capital, innovation, and growth in China. Journal of Asian Economics, 39, 31–42.FleisherB. M.McGuireW. H.SmithA. N.ZhouM.2015Knowledge capital, innovation, and growth in ChinaJournal of Asian Economics39314210.1016/j.asieco.2015.05.002Search in Google Scholar

France NUM. (2020). France NUM. Retrieved from https://www.francenum.gouv.fr/france-numFrance NUM2020France NUMRetrieved from https://www.francenum.gouv.fr/france-numSearch in Google Scholar

Fukao, K., Miyagawa, T., Mukai, K., Shinoda, Y., & Tonogi, K. (2009). Intangible Investment In Japan: Measurement And Contribution To Economic Growth. Review of Income and Wealth, 55, 717–736. doi:10.1111/j.1475-4991.2009.00345.xFukaoK.MiyagawaT.MukaiK.ShinodaY.TonogiK.2009Intangible Investment In Japan: Measurement And Contribution To Economic GrowthReview of Income and Wealth5571773610.1111/j.1475-4991.2009.00345.xOpen DOISearch in Google Scholar

Furman, J., & Seamans, R. (2018). AI and the Economy. Innovation Policy and the Economy, 19, 161–191. doi: 10.2139/ssrn.3186591FurmanJ.SeamansR.2018AI and the EconomyInnovation Policy and the Economy1916119110.2139/ssrn.3186591Open DOISearch in Google Scholar

GAO. (2019). Advanced Manufacturing: Innovation Institutes Have Demonstrated Initial Accomplishments, but Challenges Remain in Measuring Performance and Ensuring Sustainability. Retrieved from https://www.gao.gov/assets/700/699310.pdfGAO2019Advanced Manufacturing: Innovation Institutes Have Demonstrated Initial Accomplishments, but Challenges Remain in Measuring Performance and Ensuring SustainabilityRetrieved from https://www.gao.gov/assets/700/699310.pdfSearch in Google Scholar

Gershman, M., Gokhberg, L., Kuznetsova, T., & Roud, V. (2018). Bridging S&T and innovation in Russia: A historical perspective. Technological Forecasting and Social Change, 133, 132–140.GershmanM.GokhbergL.KuznetsovaT.RoudV.2018Bridging S&T and innovation in Russia: A historical perspectiveTechnological Forecasting and Social Change13313214010.1016/j.techfore.2018.03.014Search in Google Scholar

Gokhberg, L., Ditkovskiy, K., Evnevich, E., Kuznetsova, I., Martynova, S., Ratay, T., Rosovetskaya, L., & Fridlyanova, S. (2020). Indicators of Innovation in the Russian Federation: 2020: Data Book. Moscow, Russia: National Research University Higher School of Economics.GokhbergL.DitkovskiyK.EvnevichE.KuznetsovaI.MartynovaS.RatayT.RosovetskayaL.FridlyanovaS.2020Indicators of Innovation in the Russian Federation: 2020: Data BookMoscow, RussiaNational Research University Higher School of EconomicsSearch in Google Scholar

Goldar, B., & Parida, Y. (2017). Intangible Capital and Firm Productivity: A Study of Indian Corporate Sector Firms. South Asia Economic Journal, 18, 246–275.GoldarB.ParidaY.2017Intangible Capital and Firm Productivity: A Study of Indian Corporate Sector FirmsSouth Asia Economic Journal1824627510.1177/1391561417732198Search in Google Scholar

Gómez, J., & Vargas, P. (2012). Intangible resources and technology adoption in manufacturing firms. Research Policy, 41(9), 1607–1619. doi: 10.1016/j.respol.2012.04.016GómezJ.VargasP.2012Intangible resources and technology adoption in manufacturing firmsResearch Policy4191607161910.1016/j.respol.2012.04.016Open DOISearch in Google Scholar

GOV.UK. (2017). UK Industrial Strategy. Retrieved from https://assets.publishing.service.gov.uk/government/uploads/system/uploads/attachment_data/file/672468/uk-industrial-strategy-international-brochure-single-pages.pdfGOV.UK2017UK Industrial StrategyRetrieved from https://assets.publishing.service.gov.uk/government/uploads/system/uploads/attachment_data/file/672468/uk-industrial-strategy-international-brochure-single-pages.pdfSearch in Google Scholar

Greene, W. (2008). A Stochastic Frontier Model with Correction for Sample Selection. NYU Working Paper No. 2451/26017. Retrieved from https://ssrn.com/abstract=1281901GreeneW.2008A Stochastic Frontier Model with Correction for Sample SelectionNYU Working Paper No. 2451/26017. Retrieved from https://ssrn.com/abstract=128190110.2139/ssrn.1120973Search in Google Scholar

Hall, B., Lottie, F., & Mairesse, J. (2013). Evidence on the impact of R&D and ICT investments on innovation and productivity in Italian firms. Economics of Innovation and New Technology, 22(3), 300–328. doi: 10.1080/10438599.2012.708134HallB.LottieF.MairesseJ.2013Evidence on the impact of R&D and ICT investments on innovation and productivity in Italian firmsEconomics of Innovation and New Technology22330032810.1080/10438599.2012.708134Open DOISearch in Google Scholar

Hatzius, J., & Dawsey, K. (2015). Doing the Sums on Productivity Paradox v2.0. Goldman Sachs U.S. Economics Analyst, 15(30).HatziusJ.DawseyK.2015Doing the Sums on Productivity Paradox v2.0Goldman Sachs U.S. Economics Analyst1530Search in Google Scholar

Heshmati, A., Kumbhakar, S. C., & Hjalmarsson, L. (1995). Efficiency of the Swedish pork industry: A farm level study using rotating panel data 1976–1988. European Journal of Operational Research, 80(3), 519–533.HeshmatiA.KumbhakarS. C.HjalmarssonL.1995Efficiency of the Swedish pork industry: A farm level study using rotating panel data 1976–1988European Journal of Operational Research80351953310.1016/0377-2217(94)00135-YSearch in Google Scholar

Ipatova, I. (2015). The dynamics of total factor productivity and its components: Russian plastic production. Applied Econometrics, 38(2), 21–40.IpatovaI.2015The dynamics of total factor productivity and its components: Russian plastic productionApplied Econometrics3822140Search in Google Scholar

Ipatova, I., & Peresetsky, A. (2013). Technical efficiency of Russian plastic and rubber production firms. Applied Econometrics, 32(4), 71–92.IpatovaI.PeresetskyA.2013Technical efficiency of Russian plastic and rubber production firmsApplied Econometrics3247192Search in Google Scholar

ISSEK HSE. (2020). Dynamics and prospects of IT-industry development [Dinamika i perspektivy razvitiya IT-otrasli]. Retrieved from https://issek.hse.ru/mirror/pubs/share/371960649.pdfISSEK HSE2020Dynamics and prospects of IT-industry development [Dinamika i perspektivy razvitiya IT-otrasli]Retrieved from https://issek.hse.ru/mirror/pubs/share/371960649.pdfSearch in Google Scholar

ITU. (2017). Measuring the Information Society Report 2017. Retrieved from https://www.itu.int/net4/ITU-D/idi/2017/index.htmlITU2017Measuring the Information Society Report 2017Retrieved from https://www.itu.int/net4/ITU-D/idi/2017/index.htmlSearch in Google Scholar

Kılıçaslan, Y., Sickles, R. C., Kayış, A. A., & Gürel, Y. Ü. (2017). Impact of ICT on the productivity of the firm: evidence from Turkish manufacturing. Journal of Productivity Analysis, 47(3), 277–289.KılıçaslanY.SicklesR. C.KayışA. A.GürelY. Ü.2017Impact of ICT on the productivity of the firm: evidence from Turkish manufacturingJournal of Productivity Analysis47327728910.1007/s11123-017-0497-3Search in Google Scholar

Kleis, L., Chwelos, P., Ramirez, R., & Cockburn, I. (2012). Information Technology and Intangible Output: The Impact of IT Investment on Innovation Productivity. Information Systems Research, 23(1), 42–59.KleisL.ChwelosP.RamirezR.CockburnI.2012Information Technology and Intangible Output: The Impact of IT Investment on Innovation ProductivityInformation Systems Research231425910.1287/isre.1100.0338Search in Google Scholar

Kozłowska, J. (2020). Servitization of manufacturing: survey in the Polish machinery sector. Engineering Management in Production and Services, 12(1), 20–33. doi: 10.2478/emj-2020-0002KozłowskaJ.2020Servitization of manufacturing: survey in the Polish machinery sectorEngineering Management in Production and Services121203310.2478/emj-2020-0002Open DOISearch in Google Scholar

KPMG (2012). Intangible assets and goodwill. Retrieved from https://assets.kpmg/content/dam/kpmg/ru/pdf/2012/RAP-Comparison/ru-ru-ifrs-vs-russian-gaap-2012-C3-03.pdfKPMG2012Intangible assets and goodwillRetrieved from https://assets.kpmg/content/dam/kpmg/ru/pdf/2012/RAP-Comparison/ru-ru-ifrs-vs-russian-gaap-2012-C3-03.pdfSearch in Google Scholar

Krasnopeeva, N., Nazrullaeva, E., Peresetsky, A., & Shchetinin, E. (2016). To export or not to export? The link between the exporter status of a firm and its technical efficiency in Russia's manufacturing sector. Voprosy Ekonomiki, 7, 123–146. doi: 10.32609/0042-8736-2016-7-123-146KrasnopeevaN.NazrullaevaE.PeresetskyA.ShchetininE.2016To export or not to export? The link between the exporter status of a firm and its technical efficiency in Russia's manufacturing sectorVoprosy Ekonomiki712314610.32609/0042-8736-2016-7-123-146Open DOISearch in Google Scholar

Kumbhakar, S. C., & Lovell, C. K. (2000). Stochastic production frontier. Cambridge, UK: Cambridge University Press.KumbhakarS. C.LovellC. K.2000Stochastic production frontierCambridge, UKCambridge University Press10.1017/CBO9781139174411Search in Google Scholar

Kumbhakar, S. C., & Peresetsky, A. (2013). Cost efficiency of Kazakhstan and Russian banks: results from competing panel data models-super-1. Macroeconomics and Finance in Emerging Market Economies, 6(1), 88–113.KumbhakarS. C.PeresetskyA.2013Cost efficiency of Kazakhstan and Russian banks: results from competing panel data models-super-1Macroeconomics and Finance in Emerging Market Economies618811310.1080/17520843.2012.727444Search in Google Scholar

Kumbhakar, S. C., & Sarkar, S. (2003). Deregulation, ownership and productivity growth in the banking industry: Evidence from India. Journal of Money Credit and Banking, 35(3), 403–424.KumbhakarS. C.SarkarS.2003Deregulation, ownership and productivity growth in the banking industry: Evidence from IndiaJournal of Money Credit and Banking35340342410.1353/mcb.2003.0020Search in Google Scholar

Kumbhakar, S., & Fuss, D. (2000). Estimation and decomposition of productivity change when production is not efficient: a panel data approach. Econometric Reviews, 19(4), 312–320.KumbhakarS.FussD.2000Estimation and decomposition of productivity change when production is not efficient: a panel data approachEconometric Reviews19431232010.1080/07474930008800481Search in Google Scholar

Kumbhakar, S., Lien, G., & Hardaker, J. (2014). Technical efficiency in competing panel data models: a study of Norwegian grain farming. Journal of Productivity Analysis, 41(2), 321–337.KumbhakarS.LienG.HardakerJ.2014Technical efficiency in competing panel data models: a study of Norwegian grain farmingJournal of Productivity Analysis41232133710.1007/s11123-012-0303-1Search in Google Scholar

Kumbhakar. S. C., Parmeter, C. F., & Zelenyuk, V. (2017). Stochastic Frontier Analysis: Foundations and Advances. Working Papers 2017-10, University of Miami, Department of Economics. Retrieved from https://www.bus.miami.edu/_assets/files/repec/WP2017-10.pdfKumbhakarS. C.ParmeterC. F.ZelenyukV.2017Stochastic Frontier Analysis: Foundations and AdvancesWorking Papers 2017-10,University of Miami, Department of EconomicsRetrieved from https://www.bus.miami.edu/_assets/files/repec/WP2017-10.pdfSearch in Google Scholar

Li, Y. (2009). A firm-level panel-data approach to efficiency, total factor productivity, catch-up and innovation, and mobile telecommunications reform (1995–2007). ESRC Centre for Competition Policy, University of East Anglia CCP Working Paper 09-6. Retrieved from http://competitionpolicy.ac.uk/documents/107435/107587/1.114399!ccp09-6.pdfLiY.2009A firm-level panel-data approach to efficiency, total factor productivity, catch-up and innovation, and mobile telecommunications reform (1995–2007)ESRC Centre for Competition Policy, University of East Anglia CCP Working Paper 09-6. Retrieved from http://competitionpolicy.ac.uk/documents/107435/107587/1.114399!ccp09-6.pdfSearch in Google Scholar

Malakhov, D., & Pilnik, N. (2013). Methods of Estimating of the Efficiency in Stochastic Frontier Models. Ekonomicheskii zhurnal VSE, 5, 660–686.MalakhovD.PilnikN.2013Methods of Estimating of the Efficiency in Stochastic Frontier ModelsEkonomicheskii zhurnal VSE5660686Search in Google Scholar

Marrocu, E., Paci, R., & Pontis, M. (2012). Intangible capital and firms’ productivity. Industrial and Corporate Change, 21, 377–402.MarrocuE.PaciR.PontisM.2012Intangible capital and firms’ productivityIndustrial and Corporate Change2137740210.1093/icc/dtr042Search in Google Scholar

Mattsson, P., Månsson, J., & Greene, W. H. (2020) TFP change and its components for Swedish manufacturing firms during the 2008–2009 financial crisis. Journal of Productivity Analysis, 53, 79–93.MattssonP.MånssonJ.GreeneW. H.2020TFP change and its components for Swedish manufacturing firms during the 2008–2009 financial crisisJournal of Productivity Analysis53799310.1007/s11123-019-00561-wSearch in Google Scholar

Meeusen, W., & van den Broeck, J. (1977). Efficiency Estimation from Cobb-Douglas Production Functions with Composed Error. International Economic Review, 18(2), 435–44.MeeusenW.van den BroeckJ.1977Efficiency Estimation from Cobb-Douglas Production Functions with Composed ErrorInternational Economic Review1824354410.2307/2525757Search in Google Scholar

METI. (2017). Recipe and Tools for Supporting Smart Monozukuri Targeting Mid-ranking Companies and SMEs in the Manufacturing Industry Compiled. Retrieved from https://www.meti.go.jp/english/press/2017/1010_005.htmlMETI2017Recipe and Tools for Supporting Smart Monozukuri Targeting Mid-ranking Companies and SMEs in the Manufacturing Industry CompiledRetrieved from https://www.meti.go.jp/english/press/2017/1010_005.htmlSearch in Google Scholar

Mogilat, A., & Ipatova, I. (2016). Technical efficiency as a factor of Russian industrial companies’ risks of financial distress. Applied Econometrics, 42, 5–29.MogilatA.IpatovaI.2016Technical efficiency as a factor of Russian industrial companies’ risks of financial distressApplied Econometrics42529Search in Google Scholar

Molodchik, M. A., Jardon, C. M., & Bykova, A. A. (2019). The performance effect of intellectual capital in the Russian context: Industry vs company level. Journal of Intellectual Capital, 20(3), 335–354. doi: 10.1108/JIC-10-2018-0190MolodchikM. A.JardonC. M.BykovaA. A.2019The performance effect of intellectual capital in the Russian context: Industry vs company levelJournal of Intellectual Capital20333535410.1108/JIC-10-2018-0190Open DOISearch in Google Scholar

Montresor, S., & Vezzani, A. (2016). Intangible investments and innovation propensity: Evidence from the Innobarometer 2013. Industry and Innovation, 23(4), 331–352.MontresorS.VezzaniA.2016Intangible investments and innovation propensity: Evidence from the Innobarometer 2013Industry and Innovation23433135210.1080/13662716.2016.1151770Search in Google Scholar

Nakamura, L. I. (2010). Intangible Assets and National Income Accounting. The Review of Income and Wealth, 56, 55–135.NakamuraL. I.2010Intangible Assets and National Income AccountingThe Review of Income and Wealth565513510.1111/j.1475-4991.2010.00390.xSearch in Google Scholar

Nazarko, J., Ejdys, J., Gudanowska, A., Halicka, K., Kononiuk, A., Magruk, A., & Nazarko, L. (2020). Roadmapping in Regional Technology Foresight: A Contribution to Nanotechnology Development Strategy. IEEE Transactions on Engineering Management, 99, 1–16. doi: 10.1109/TEM.2020.3004549NazarkoJ.EjdysJ.GudanowskaA.HalickaK.KononiukA.MagrukA.NazarkoL.2020Roadmapping in Regional Technology Foresight: A Contribution to Nanotechnology Development StrategyIEEE Transactions on Engineering Management9911610.1109/TEM.2020.3004549Open DOISearch in Google Scholar

Nazarko, L. (2017). Future-Oriented Technology Assessment. Procedia Engineering, 182, 504–509. doi: 10.1016/j.proeng.2017.03.144NazarkoL.2017Future-Oriented Technology AssessmentProcedia Engineering18250450910.1016/j.proeng.2017.03.144Open DOISearch in Google Scholar

Neirotti, P., Raguseo, E., & Paolucci, E. (2018). How SMEs develop ICT-based capabilities in response to their environment: Past evidence and implications for the uptake of the new ICT paradigm. Journal of Enterprise Information Management, 31(1),10–37.NeirottiP.RaguseoE.PaolucciE.2018How SMEs develop ICT-based capabilities in response to their environment: Past evidence and implications for the uptake of the new ICT paradigmJournal of Enterprise Information Management311103710.1108/JEIM-09-2016-0158Search in Google Scholar

Next Generation Manufacturing Canada. (2018). Pilot Project Application Guide: Building World-Leading Advanced Manufacturing Capabilities in Canada. Retrieved from https://www.ngen.ca/hubfs/Documents/NGenPilotProjectApplicationGuide_EN_v1.1.pdf?hsLang=enNext Generation Manufacturing Canada2018Pilot Project Application Guide: Building World-Leading Advanced Manufacturing Capabilities in CanadaRetrieved from https://www.ngen.ca/hubfs/Documents/NGenPilotProjectApplicationGuide_EN_v1.1.pdf?hsLang=enSearch in Google Scholar

Nwaiwu, F., Duduci, M., Chromjakova, F., & Otekhile, C.- A. F. (2020). Industry 4.0 concepts within the Czech SME manufacturing sector: an empirical assessment of critical success factors. Business: Theory and Practice, 21(1), 58–70. doi: 10.3846/btp.2020.10712NwaiwuF.DuduciM.ChromjakovaF.OtekhileC.- A. F.2020Industry 4.0 concepts within the Czech SME manufacturing sector: an empirical assessment of critical success factorsBusiness: Theory and Practice211587010.3846/btp.2020.10712Open DOISearch in Google Scholar

OECD. (2017). OECD Digital Economy Outlook 2017. Paris, France: OECD Publishing.OECD2017OECD Digital Economy Outlook 2017Paris, FranceOECD PublishingSearch in Google Scholar

OECD. (2019). Fostering Science and Innovation in the Digital Age. Retrieved from https://www.oecd.org/going-digital/fostering-science-and-innovation.pdfOECD2019Fostering Science and Innovation in the Digital AgeRetrieved from https://www.oecd.org/going-digital/fostering-science-and-innovation.pdfSearch in Google Scholar

Paklina, S., Molodchik, M., & Fernández-Jardón, C. (2017). Intangible-Intensive Strategies of Russian Companies. Higher School of Economics. Research Paper No. WP BRP 57/MAN/2017.PaklinaS.MolodchikM.Fernández-JardónC.2017Intangible-Intensive Strategies of Russian CompaniesHigher School of EconomicsResearch Paper No. WP BRP 57/MAN/2017.10.2139/ssrn.3087970Search in Google Scholar

Piekkola, H. (2020). Intangibles and innovation-labor-biased technical change. Journal of Intellectual Capital, 21 (5), 649–669.PiekkolaH.2020Intangibles and innovation-labor-biased technical changeJournal of Intellectual Capital21564966910.1108/JIC-10-2019-0241Search in Google Scholar

Piekkola, H. (2020). Intangibles and innovation-labor-biased technical change. Journal of Intellectual Capital, 21(5), 649–669. doi: 10.1108/JIC-10-2019-0241PiekkolaH.2020Intangibles and innovation-labor-biased technical changeJournal of Intellectual Capital21564966910.1108/JIC-10-2019-0241Open DOISearch in Google Scholar

Pieri, F., Vecchi, M., & Venturini, F. (2018). Modelling the joint impact of R&D and ICT on productivity: A frontier analysis approach. Research Policy, 47(9), 1842–1852.PieriF.VecchiM.VenturiniF.2018Modelling the joint impact of R&D and ICT on productivity: A frontier analysis approachResearch Policy4791842185210.1016/j.respol.2018.06.013Search in Google Scholar

Podmetina, D., Väätänenet, J., Torkkeli, M., & Smirnova, M. (2011). Open innovation in Russian firms: An empirical investigation of technology commercialisation and acquisition. International Journal of Business Innovation and Research, 5(3), 298–317.PodmetinaD.VäätänenetJ.TorkkeliM.SmirnovaM.2011Open innovation in Russian firms: An empirical investigation of technology commercialisation and acquisitionInternational Journal of Business Innovation and Research5329831710.1504/IJBIR.2011.040100Search in Google Scholar

Polder, M., Bondt, H., & Leeuwen, G. (2018). Business dynamics, industry productivity growth, and the distribution of firm-level performance: evidence for the role of ICT using Dutch firm-level data. The Journal of Technology Transfer, 43(6), 1522–1541.PolderM.BondtH.LeeuwenG.2018Business dynamics, industry productivity growth, and the distribution of firm-level performance: evidence for the role of ICT using Dutch firm-level dataThe Journal of Technology Transfer4361522154110.1007/s10961-016-9549-5Search in Google Scholar

Ramirez, P. G., & Hachiya, T. (2008). Measuring the contribution of intangibles to productivity growth: a disaggregated analysis of Japanese firms. Review of Pacific Basin Financial Markets and Policies, 11, 151–186.RamirezP. G.HachiyaT.2008Measuring the contribution of intangibles to productivity growth: a disaggregated analysis of Japanese firmsReview of Pacific Basin Financial Markets and Policies1115118610.1142/S0219091508001301Search in Google Scholar

Rasel, F. (2017). ICT and global sourcing – evidence for German manufacturing and service firms. Economics of Innovation and New Technology, 26(7), 634–660. doi: 10.1080/10438599.2016.1267939RaselF.2017ICT and global sourcing – evidence for German manufacturing and service firmsEconomics of Innovation and New Technology26763466010.1080/10438599.2016.1267939Open DOISearch in Google Scholar

Roth, F. (2019). Intangible Capital and Labour Productivity Growth: A Review of the Literature, Hamburg Discussion Papers in International Economics. Retrieved from https://www.econstor.eu/bitstream/10419/207163/1/hdpie-no04.pdfRothF.2019Intangible Capital and Labour Productivity Growth: A Review of the Literature, Hamburg Discussion Papers in International EconomicsRetrieved from https://www.econstor.eu/bitstream/10419/207163/1/hdpie-no04.pdfSearch in Google Scholar

Rylková, Z., & Šebestová, J. (2019). Benchmarking of contributory organisations within the framework of technical efficiency. Engineering Management in Production and Services, 11(1), 80–91. doi: 10.2478/emj-2019-0006RylkováZ.ŠebestováJ.2019Benchmarking of contributory organisations within the framework of technical efficiencyEngineering Management in Production and Services111809110.2478/emj-2019-0006Open DOISearch in Google Scholar

Sabirianova, K., Svejnar, J., & Terrell, K. (2005). Distance to the Efficiency Frontier and Foreign Direct Investment Spillovers. Journal of the European Economic Association, 3(2–3): 576–586.SabirianovaK.SvejnarJ.TerrellK.2005Distance to the Efficiency Frontier and Foreign Direct Investment SpilloversJournal of the European Economic Association32–357658610.1162/jeea.2005.3.2-3.576Search in Google Scholar

Shahabadi, A., Kimiaei, F., & Arbab Afzali, M. (2018). The Evaluation of Impacts of Knowledge-Based Economy Factors on the Improvement of Total Factor Productivity (a Comparative Study of Emerging and G7 Economies). Journal of the Knowledge Economy, 9(3), 896–907.ShahabadiA.KimiaeiF.Arbab AfzaliM.2018The Evaluation of Impacts of Knowledge-Based Economy Factors on the Improvement of Total Factor Productivity (a Comparative Study of Emerging and G7 Economies)Journal of the Knowledge Economy9389690710.1007/s13132-016-0379-3Search in Google Scholar

Shahiduzzaman, M., Kowalkiewicz, M., & Barrett, R. (2018). Digital dividends in the phase of falling productivity growth and implications for policy making. International Journal of Productivity and Performance Management, 67(6), 1016–1032. doi: 10.1108/IJPPM-02-2017-0050ShahiduzzamanM.KowalkiewiczM.BarrettR.2018Digital dividends in the phase of falling productivity growth and implications for policy makingInternational Journal of Productivity and Performance Management6761016103210.1108/IJPPM-02-2017-0050Open DOISearch in Google Scholar

Shakina, E., & Barajas, A. (2016). Intangible-intensive profiles of companies: protection during the economic crisis of 2008–2009. Journal of Intellectual Capital, 17(4), 758–775. doi: 10.1108/JIC-02-2016-0029ShakinaE.BarajasA.2016Intangible-intensive profiles of companies: protection during the economic crisis of 2008–2009Journal of Intellectual Capital17475877510.1108/JIC-02-2016-0029Open DOISearch in Google Scholar

Shakina, E., & Molodchik, M. (2014). Intangible-driven value creation: supporting and obstructing factors. Measuring Business Excellence, 18(3), 87–100. doi: 10.1108/MBE-12-2013-0063ShakinaE.MolodchikM.2014Intangible-driven value creation: supporting and obstructing factorsMeasuring Business Excellence1838710010.1108/MBE-12-2013-0063Open DOISearch in Google Scholar

Shao, W., & Lin, W. (2002). Technical efficiency analysis of information technology investments: a two-stage empirical investigation. Information & Management, 39(5), 391–401. doi: 10.1016/S0378-7206(01)00105-7ShaoW.LinW.2002Technical efficiency analysis of information technology investments: a two-stage empirical investigationInformation & Management39539140110.1016/S0378-7206(01)00105-7Open DOISearch in Google Scholar

Sharma, S., Sylwester, K., & Heru, M. (2007). Decomposition of total factor productivity growth in U.S. states. The Quarterly Review of Economics and Finance, 47(2), 215–241.SharmaS.SylwesterK.HeruM.2007Decomposition of total factor productivity growth in U.S. statesThe Quarterly Review of Economics and Finance47221524110.1016/j.qref.2006.08.001Search in Google Scholar

Shchetynin, Y. (2015). Effects of imports on technical efficiency in Russian food industry. Applied Econometrics, 37(1), 27–42.ShchetyninY.2015Effects of imports on technical efficiency in Russian food industryApplied Econometrics3712742Search in Google Scholar

Shchetynin, Y., & Nazrullaeva, Eu. (2012). Effects of fixed capital investments on technical efficiency in food industry. Applied Econometrics, 28(4), 63–84.ShchetyninY.NazrullaevaEu.2012Effects of fixed capital investments on technical efficiency in food industryApplied Econometrics2846384Search in Google Scholar

Simachev Y., & Kuzyk, M. (2019). Industrial Development, Structural Changes, and Industrial Policy in Russia. In Exploring the Future of Russia's Economy and Markets: Towards Sustainable Economic Development (pp. 69–106). Emerald Group Publishing Limited.SimachevY.KuzykM.2019Industrial Development, Structural Changes, and Industrial Policy in RussiaInExploring the Future of Russia's Economy and Markets: Towards Sustainable Economic Development69106Emerald Group Publishing Limited10.1108/978-1-78769-397-520181005Search in Google Scholar

Simachev, Y., Kuzyk, M., & Feygina, V. (2014). The nature of innovation channels at the micro level: evidence from Russian manufacturing firms. Journal of Chinese Economic and Business Studies, 12(2), 103–123.SimachevY.KuzykM.FeyginaV.2014The nature of innovation channels at the micro level: evidence from Russian manufacturing firmsJournal of Chinese Economic and Business Studies12210312310.1080/14765284.2014.900942Search in Google Scholar

Solow, R. (1957). Technical Change and the Aggregate Production Function. The Review of Economics and Statistics, 39(3), 312–320.SolowR.1957Technical Change and the Aggregate Production FunctionThe Review of Economics and Statistics39331232010.4324/9780203070710.pt7Search in Google Scholar

Soltysova, Z., & Bednar, S. (2015). Complexity management in terms of mass customized manufacturing. Polish Journal of Management Studies, 12(2), 139–149.SoltysovaZ.BednarS.2015Complexity management in terms of mass customized manufacturingPolish Journal of Management Studies122139149Search in Google Scholar

Spiezia, V. (2011). Are ICT users more innovative?: an analysis of ICT-enabled innovation in OECD firms. OECD Journal: Economic Studies, 2011(1), 1–21.SpieziaV.2011Are ICT users more innovative?: an analysis of ICT-enabled innovation in OECD firmsOECD Journal: Economic Studies2011112110.1787/eco_studies-2011-5kg2d2hkn6vgSearch in Google Scholar

Sun, Z., & Li, J. (2017). The multifaceted role of information and communication technology in innovation: evidence from Chinese manufacturing firms. Asian Journal of Technology Innovation, 25(1), 168–183. doi: 10.1080/19761597.2017.1302559SunZ.LiJ.2017The multifaceted role of information and communication technology in innovation: evidence from Chinese manufacturing firmsAsian Journal of Technology Innovation25116818310.1080/19761597.2017.1302559Open DOISearch in Google Scholar

Tambe, P., & Hitt, L. M. (2014). Measuring Information Technology Spillovers. Information Systems Research, 25(1), 53–71. doi: 10.1287/isre.2013.0498TambeP.HittL. M.2014Measuring Information Technology SpilloversInformation Systems Research251537110.1287/isre.2013.0498Open DOISearch in Google Scholar

Tang, J., & Wang, W. (2020). Technological frontier, technical efficiency and the post-2000 productivity slowdown in Canada. Structural Change and Economic Dynamics, 55, 12–25. doi: 10.1016/j.strueco.2020.06.003TangJ.WangW.2020Technological frontier, technical efficiency and the post-2000 productivity slowdown in CanadaStructural Change and Economic Dynamics55122510.1016/j.strueco.2020.06.003Open DOISearch in Google Scholar

Teece, D. (2018). Profiting from innovation in the digital economy: Enabling technologies, standards, and licensing models in the wireless world. Research Policy, 47(8), 1367–1387. doi: 10.1016/j.respol.2017.01.015TeeceD.2018Profiting from innovation in the digital economy: Enabling technologies, standards, and licensing models in the wireless worldResearch Policy4781367138710.1016/j.respol.2017.01.015Open DOISearch in Google Scholar

Thum-Thysen, A., Voigt, P., Bilbao-Osorio, B., Maier, C., & Ognyanova, D. (2017). Unlocking Investment in Intangible Assets European Union. Discussion Paper 047. Retrieved from https://ec.europa.eu/info/sites/info/files/economy-finance/dp047_en.pdfThum-ThysenA.VoigtP.Bilbao-OsorioB.MaierC.OgnyanovaD.2017Unlocking Investment in Intangible Assets European UnionDiscussion Paper 047. Retrieved from https://ec.europa.eu/info/sites/info/files/economy-finance/dp047_en.pdfSearch in Google Scholar

Van Ark, B., Hao, J. X., Corrado, C., & Hulten, C. (2009). Measuring intangible capital and its contribution to economic growth in Europe. European Investment Bank, 14, 62–93.Van ArkB.HaoJ. X.CorradoC.HultenC.2009Measuring intangible capital and its contribution to economic growth in EuropeEuropean Investment Bank146293Search in Google Scholar

Voskoboynikov, I. (2020). Structural change, expanding informality and labor productivity growth in Russia. Review of Income and Wealth, 66(2), 394–417. doi: 10.1111/roiw.12417VoskoboynikovI.2020Structural change, expanding informality and labor productivity growth in RussiaReview of Income and Wealth66239441710.1111/roiw.12417Open DOISearch in Google Scholar

Yang, S., Zhou, Y., & Song, L. (2018). Determinants of Intangible Investment and Its Impacts on Firms’ Productivity: Evidence from Chinese Private Manufacturing Firms. China & World Economy, 26, 1–26.YangS.ZhouY.SongL.2018Determinants of Intangible Investment and Its Impacts on Firms’ Productivity: Evidence from Chinese Private Manufacturing FirmsChina & World Economy2612610.1111/cwe.12259Search in Google Scholar

Zemtsov, S., Barinova, V., & Semenova, R. (2019). The Risks of Digitalization and the Adaptation of Regional Labor Markets in Russia. Foresight and STI Governance, 13(2), 84–96. doi: 10.17323/2500-2597.2019.2.84.96ZemtsovS.BarinovaV.SemenovaR.2019The Risks of Digitalization and the Adaptation of Regional Labor Markets in RussiaForesight and STI Governance132849610.17323/2500-2597.2019.2.84.96Open DOISearch in Google Scholar