This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.
Adegbola, P., & Gardebroek, C. (2007). The effect of information sources on technology adoption and modification decisions. Agricultural Economics, 37(1), 55–65. doi: 0.1111/j.1574-0862.2007.00222.xAdegbolaP.GardebroekC.2007The effect of information sources on technology adoption and modification decisionsAgricultural Economics37155650.1111/j.1574-0862.2007.00222.xOpen DOISearch in Google Scholar
Aduda, K., Thomassen, T., Zeiler, W., Labeodan, T., Boxem, G., van der Velden, J., & Dubbeldam, J. W. (2014). The human in the loop: An approach to individualize smart process control. Procedia Environmental Sciences, 22, 302–312. doi: 10.1016/j.proenv.2014.11.029AdudaK.ThomassenT.ZeilerW.LabeodanT.BoxemG.van der VeldenJ.DubbeldamJ. W.2014The human in the loop: An approach to individualize smart process controlProcedia Environmental Sciences2230231210.1016/j.proenv.2014.11.029Open DOISearch in Google Scholar
Agarwal, R., & Prasad, J. (1998). The antecedents and consequents of user perceptions in information technology adoption. Decision Support Systems, 22(1), 15–29. doi: 10.1016/S0167-9236(97)00006-7AgarwalR.PrasadJ.1998The antecedents and consequents of user perceptions in information technology adoptionDecision Support Systems221152910.1016/S0167-9236(97)00006-7Open DOISearch in Google Scholar
Alekseev, A. N., Buraeva, E. V., Kletskova, E. V., & Rykhtikova, N. A. (2018). Stages of Formation of Industry 4.0 and the Key Indicators of Its Development. Industry 4.0: Industrial Revolution of the 21st Century, 169, 93–100. doi: 10.1007/978-3-319-94310-7_9AlekseevA. N.BuraevaE. V.KletskovaE. V.RykhtikovaN. A.2018Stages of Formation of Industry 4.0 and the Key Indicators of Its DevelopmentIndustry 4.0: Industrial Revolution of the 21st Century1699310010.1007/978-3-319-94310-7_9Open DOISearch in Google Scholar
Alguliyev, R., Imamverdiyev, Y., & Sukhostat, L. (2018). Cyber-physical systems and their security issues. Computers in Industry, 100, 212–223. doi: doi.org/10.1016/j.compind.2018.04.017AlguliyevR.ImamverdiyevY.SukhostatL.2018Cyber-physical systems and their security issuesComputers in Industry100212223doi: doi.org/10.1016/j.compind.2018.04.01710.1016/j.compind.2018.04.017Search in Google Scholar
Almada-Lobo, F. (2016). The Industry 4.0 revolution and the future of manufacturing execution systems (MES). Journal of Innovation Management, 3(4), 16–21. doi: 10.24840/2183-0606_003.004_0003Almada-LoboF.2016The Industry 4.0 revolution and the future of manufacturing execution systems (MES)Journal of Innovation Management34162110.24840/2183-0606_003.004_0003Open DOISearch in Google Scholar
Arnold, C., Veile, J., & Voigt, K. I. (2018). What drives industry 4.0 adoption? An examination of technological, organizational, and environmental determinants. 27th International Conference on Management of Technology (IAMOT), Birmingham, United Kingdom.ArnoldC.VeileJ.VoigtK. I.2018What drives industry 4.0 adoption? An examination of technological, organizational, and environmental determinants27th International Conference on Management of Technology (IAMOT)Birmingham, United KingdomSearch in Google Scholar
Attaran, M. (2017). The rise of 3-D printing: The advantages of additive manufacturing over traditional manufacturing. Business Horizons, 60(5), 677–688. doi: 10.1016/j.bushor.2017.05.011AttaranM.2017The rise of 3-D printing: The advantages of additive manufacturing over traditional manufacturingBusiness Horizons60567768810.1016/j.bushor.2017.05.011Open DOISearch in Google Scholar
Birchall, D., Chanaron, J. J., Tovstiga, G., & Hillen-brand, C. (2011). Innovation performance measurement: Current practices, issues and management challenges. International Journal of Technology Management, 56(1), 1–20. doi: 10.1504/ijtm.2011.042492BirchallD.ChanaronJ. J.TovstigaG.Hillen-brandC.2011Innovation performance measurement: Current practices, issues and management challengesInternational Journal of Technology Management56112010.1504/ijtm.2011.042492Open DOISearch in Google Scholar
Blanchard, B. S., Verma, D., & Peterson, E. L. (1995). Maintainability: A key to effective serviceability and maintenance management. New York, United States: Wiley.BlanchardB. S.VermaD.PetersonE. L.1995Maintainability: A key to effective serviceability and maintenance managementNew York, United StatesWileySearch in Google Scholar
Bleicher, J., & Stanley, H. (2016). Digitization as a catalyst for business model innovation a three-step approach to facilitating economic success. Journal of Business Management, 4(2), 62–71.BleicherJ.StanleyH.2016Digitization as a catalyst for business model innovation a three-step approach to facilitating economic successJournal of Business Management426271Search in Google Scholar
Boh, W. F., Evaristo, R., & Ouderkirk, A. (2014). Balancing breadth and depth of expertise for innovation: A 3M story. Research Policy, 43(2), 349–366. doi: 10.1016/j.respol.2013.10.009BohW. F.EvaristoR.OuderkirkA.2014Balancing breadth and depth of expertise for innovation: A 3M storyResearch Policy43234936610.1016/j.respol.2013.10.009Open DOISearch in Google Scholar
Bohnsack, R., & Pinkse, J. (2017). Value propositions for disruptive technologies: Reconfiguration tactics in the case of electric vehicles. California Management Review, 59(4), 79–96. doi: 10.1177/0008125617717711BohnsackR.PinkseJ.2017Value propositions for disruptive technologies: Reconfiguration tactics in the case of electric vehiclesCalifornia Management Review594799610.1177/0008125617717711Open DOISearch in Google Scholar
Borrás, S., & Edquist, C. (2013). The choice of innovation policy instruments. Technological Forecasting and Social Change, 80(8), 1513–1522. doi: 10.1016/j.tech-fore.2013.03.002BorrásS.EdquistC.2013The choice of innovation policy instrumentsTechnological Forecasting and Social Change8081513152210.1016/j.tech-fore.2013.03.002Open DOISearch in Google Scholar
Brettel, M., Friederichsen, N., Keller, M., & Rosenberg, M. (2014). How virtualization, decentralization and network building change the manufacturing landscape: An Industry 4.0 Perspective. International Journal of Information and Communication Engineering, 8(1), 37–44.BrettelM.FriederichsenN.KellerM.RosenbergM.2014How virtualization, decentralization and network building change the manufacturing landscape: An Industry 4.0 PerspectiveInternational Journal of Information and Communication Engineering813744Search in Google Scholar
Browne, J., Dubois, D., Rathmill, K., Sethi, S. P., & Stecke, K. E. (1984). Classification of flexible manufacturing systems. The FMS Magazine, 2(2), 114–117.BrowneJ.DuboisD.RathmillK.SethiS. P.SteckeK. E.1984Classification of flexible manufacturing systemsThe FMS Magazine22114117Search in Google Scholar
Caiazza, R., & Volpe, T. (2017). Innovation and its diffusion: Process, actors and actions. Technology Analysis & Strategic Management, 29(2), 181–189. doi: 10.1080/09537325.2016.1211262CaiazzaR.VolpeT.2017Innovation and its diffusion: Process, actors and actionsTechnology Analysis & Strategic Management29218118910.1080/09537325.2016.1211262Open DOISearch in Google Scholar
Castelo-Branco, I., Cruz-Jesus, F., & Oliveira, T. (2019). Assessing Industry 4.0 readiness in manufacturing: Evidence for the European Union. Computers in Industry, 107, 22–32. doi: 10.1016/j.compind.2019.01.007Castelo-BrancoI.Cruz-JesusF.OliveiraT.2019Assessing Industry 4.0 readiness in manufacturing: Evidence for the European UnionComputers in Industry107223210.1016/j.compind.2019.01.007Open DOISearch in Google Scholar
Cavdar, S. C., & Aydin, A. D. (2015). An empirical analysis about technological development and innovation indicators. Procedia-Social and Behavioral Sciences, 195, 1486–1495. doi: 10.1016/j.sbspro.2015.06.449CavdarS. C.AydinA. D.2015An empirical analysis about technological development and innovation indicatorsProcedia-Social and Behavioral Sciences1951486149510.1016/j.sbspro.2015.06.449Open DOISearch in Google Scholar
Chang, V., Ramachandran, M., Yao, Y., Kuo, Y. H., & Li, C. S. (2016). A resiliency framework for an enterprise cloud. International Journal of Information Management: The Journal for Information Professionals, 36(1), 155–166. doi: 10.1016/j.ijinfomgt.2015.09.008ChangV.RamachandranM.YaoY.KuoY. H.LiC. S.2016A resiliency framework for an enterprise cloudInternational Journal of Information Management: The Journal for Information Professionals36115516610.1016/j.ijinfomgt.2015.09.008Open DOISearch in Google Scholar
Chor, K. H. B., Wisdom, J. P., Olin, S. C. S., Hoagwood, K. E., & Horwitz, S. M. (2014). Measures for predictors of innovation adoption. Administration and Policy in Mental Health and Mental Health, 42(5), 545–573. doi: 10.1007/s10488-014-0551-7ChorK. H. B.WisdomJ. P.OlinS. C. S.HoagwoodK. E.HorwitzS. M.2014Measures for predictors of innovation adoptionAdministration and Policy in Mental Health and Mental Health42554557310.1007/s10488-014-0551-7420164124740175Open DOISearch in Google Scholar
Christensen, C. M., Bartman, T., & van Bever, D. (2016). The hard truth about business model innovation. Retrieved from http://sloanreview.mit.edu/article/the-hardtruth-about-business-model-innovation/ChristensenC. M.BartmanT.van BeverD.2016The hard truth about business model innovationRetrieved from http://sloanreview.mit.edu/article/the-hardtruth-about-business-model-innovation/Search in Google Scholar
Crossan, M. M., & Apaydin, M. (2010). A multi-dimensional framework of organizational innovation: A systematic review of the literature. Journal of Management Studies, 47(6), 1154–1191. doi: 10.1111/j.1467-6486.2009.00880.xCrossanM. M.ApaydinM.2010A multi-dimensional framework of organizational innovation: A systematic review of the literatureJournal of Management Studies4761154119110.1111/j.1467-6486.2009.00880.xOpen DOISearch in Google Scholar
Damanpour, F., & Schneider, M. (2006). Phases of the adoption of innovation in organizations: Effects of environment, organization and top managers 1. British Journal of Management, 17(3), 215–236. doi: 10.1111/j.1467-8551.2006.00498.xDamanpourF.SchneiderM.2006Phases of the adoption of innovation in organizations: Effects of environment, organization and top managers 1British Journal of Management17321523610.1111/j.1467-8551.2006.00498.xOpen DOISearch in Google Scholar
Danquah, M. (2018). Technology transfer, adoption of technology and the efficiency of nations: Empirical evidence from sub Saharan Africa. Technological Forecasting and Social Change, 131, 175–182. doi: 10.1016/j.techfore.2017.12.007DanquahM.2018Technology transfer, adoption of technology and the efficiency of nations: Empirical evidence from sub Saharan AfricaTechnological Forecasting and Social Change13117518210.1016/j.techfore.2017.12.007Open DOISearch in Google Scholar
Datta, A., Mukherjee, D., & Jessup, L. (2015). Understanding commercialization of technological innovation: Taking stock and moving forward. R&D Management, 45(3), 215–249. doi: 10.1111/radm.12068DattaA.MukherjeeD.JessupL.2015Understanding commercialization of technological innovation: Taking stock and moving forwardR&D Management45321524910.1111/radm.12068Open DOISearch in Google Scholar
Datta, A., Reed, R., & Jessup, L. (2013). Commercialization of innovations: An overarching framework and research agenda. American Journal of Business, 28(2), 147–191. doi: 10.1108/AJB-08-2012-0048DattaA.ReedR.JessupL.2013Commercialization of innovations: An overarching framework and research agendaAmerican Journal of Business28214719110.1108/AJB-08-2012-0048Open DOISearch in Google Scholar
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and acceptance of information technology. MIS Quarterly, 13(3), 319–340. doi: 10.2307/249008DavisF. D.1989Perceived usefulness, perceived ease of use, and acceptance of information technologyMIS Quarterly13331934010.2307/249008Open DOISearch in Google Scholar
De Sousa Jabbour, A. B., Jabbour, C. J., Foropon, C., & Godinho Filho, M. (2018). When titans meet – Can industry 4.0 revolutionise the environmentally-sustainable manufacturing wave? The role of critical success factors. Technological Forecasting and Social Change, 132, 18–25. doi: 10.1016/j.tech-fore.2018.01.017De Sousa JabbourA. B.JabbourC. J.ForoponC.Godinho FilhoM.2018When titans meet – Can industry 4.0 revolutionise the environmentally-sustainable manufacturing wave? The role of critical success factorsTechnological Forecasting and Social Change132182510.1016/j.tech-fore.2018.01.017Open DOISearch in Google Scholar
Dewangan, V., & Godse, M. (2014). Towards a holistic enterprise innovation performance measurement system. Technovation, 34(9), 536–545. doi: 10.1016/j.technovation.2014.04.002DewanganV.GodseM.2014Towards a holistic enterprise innovation performance measurement systemTechnovation34953654510.1016/j.technovation.2014.04.002Open DOISearch in Google Scholar
Dimara, E., & Skuras, D. (2003). Adoption of agricultural innovations as a two-stage partial observability process. Agricultural Economics, 28(3), 187–196. doi: 10.1111/j.1574-0862.2003.tb00137.xDimaraE.SkurasD.2003Adoption of agricultural innovations as a two-stage partial observability processAgricultural Economics28318719610.1111/j.1574-0862.2003.tb00137.xOpen DOISearch in Google Scholar
Dodgson, M., & Hinze, S. (2000). Indicators used to measure the innovation process: Defects and possible remedies. Research Evaluation, 9(2), 101–114. doi: 10.3152/147154400781777368DodgsonM.HinzeS.2000Indicators used to measure the innovation process: Defects and possible remediesResearch Evaluation9210111410.3152/147154400781777368Open DOISearch in Google Scholar
Dziallas, M., & Blind, K. (2018). Innovation indicators throughout the innovation process: An extensive literature analysis. Technovation, 80–81, 3–29. doi: 10.1016/j.technovation.2018.05.005DziallasM.BlindK.2018Innovation indicators throughout the innovation process: An extensive literature analysisTechnovation80–8132910.1016/j.technovation.2018.05.005Open DOISearch in Google Scholar
Edison, H., Bin Ali, N., & Torkar, R. (2013). Towards innovation measurement in the software industry. Journal of Systems and Software, 86(5), 1390–1407. doi: 10.1016/j.jss.2013.01.013EdisonH.Bin AliN.TorkarR.2013Towards innovation measurement in the software industryJournal of Systems and Software8651390140710.1016/j.jss.2013.01.013Open DOISearch in Google Scholar
Egorova, I. E., Gagarin, A. G., Kuznetsov, S. Y., Simonov, A. B., & Velikanov, V. V. (2017). Successful Commercialization of Innovations as a Basis of Development of Modern Human Society. In Perspectives on the use of New Information and Communication Technology (ICT) in the Modern Economy (pp. 1156–1162). Cham, United Kingdom: Springer. doi: 10.1007/978-3-319-90835-9_130EgorovaI. E.GagarinA. G.KuznetsovS. Y.SimonovA. B.VelikanovV. V.2017Successful Commercialization of Innovations as a Basis of Development of Modern Human SocietyInPerspectives on the use of New Information and Communication Technology (ICT) in the Modern Economy11561162Cham, United KingdomSpringer10.1007/978-3-319-90835-9_130Open DOISearch in Google Scholar
Espitia-Escuer, M., García-Cebrián, L. I., & Muñoz-Porcar, A. (2014). Location as a competitive advantage for entrepreneurship an empirical application in the Region of Aragon (Spain). International Entrepreneur-ship and Management Journal, 11(1), 133–148. doi: 10.1007/s11365-014-0312-9Espitia-EscuerM.García-CebriánL. I.Muñoz-PorcarA.2014Location as a competitive advantage for entrepreneurship an empirical application in the Region of Aragon (Spain)International Entrepreneur-ship and Management Journal11113314810.1007/s11365-014-0312-9Open DOISearch in Google Scholar
Evanschitzky, H., Eisend, M., Calantone, R. J., & Jiang, Y. (2012). Success factors of product innovation: An updated meta-analysis. Journal of Product Innovation Management, 29, 21–37. doi: 10.1111/j.1540-5885.2012.00964.xEvanschitzkyH.EisendM.CalantoneR. J.JiangY.2012Success factors of product innovation: An updated meta-analysisJournal of Product Innovation Management29213710.1111/j.1540-5885.2012.00964.xOpen DOISearch in Google Scholar
Ezzi, F., & Jarboui, A. (2016). Does innovation strategy affect financial, social and environmental performance? Journal of Economics, Finance and Administrative Science, 21(40), 14–24. doi: 10.1016/j.jefas.2016.03.001EzziF.JarbouiA.2016Does innovation strategy affect financial, social and environmental performance?Journal of Economics, Finance and Administrative Science2140142410.1016/j.jefas.2016.03.001Open DOISearch in Google Scholar
Frijns, B., Gilbert, A., Lehnert, T., & Tourani-Rad, A. (2013). Uncertainty avoidance, risk tolerance and corporate takeover decisions. Journal of Banking & Finance, 37(7), 2457–2471. doi: 10.1016/j.jbankfin.2013.02.010FrijnsB.GilbertA.LehnertT.Tourani-RadA.2013Uncertainty avoidance, risk tolerance and corporate takeover decisionsJournal of Banking & Finance3772457247110.1016/j.jbankfin.2013.02.010Open DOISearch in Google Scholar
Gallaud, D., & Torre, A. (2005). Geographical proximity and the diffusion of knowledge. In Rethinking Regional Innovation and Change (pp. 127–146). New York, United States: Springer. doi: 10.1007/0-387-23002-5_7GallaudD.TorreA.2005Geographical proximity and the diffusion of knowledgeInRethinking Regional Innovation and Change127146New York, United StatesSpringer10.1007/0-387-23002-5_7Open DOISearch in Google Scholar
Garwood, S. G., Cox, L., Kaplan, V., Wasserman, N., & Sulzer, J. L. (1980). Beauty is only “name” deep: the effect of first-name on ratings of physical attraction. Journal of Applied Social Psychology, 10(5), 431–435. doi:10.1111/j.1559-1816.1980.tb00721.xGarwoodS. G.CoxL.KaplanV.WassermanN.SulzerJ. L.1980Beauty is only “name” deep: the effect of first-name on ratings of physical attractionJournal of Applied Social Psychology10543143510.1111/j.1559-1816.1980.tb00721.xOpen DOISearch in Google Scholar
Gault, F. (2018). Defining and measuring innovation in all sectors of the economy. Research Policy, 47(3), 617–622. doi: 10.1016/j.respol.2018.01.007GaultF.2018Defining and measuring innovation in all sectors of the economyResearch Policy47361762210.1016/j.respol.2018.01.007Open DOISearch in Google Scholar
Glass, R., Meissner, A., Gebauer, C., Stürmer, S., & Metternich, J. (2018). Identifying the barriers to Industrie 4.0. Procedia CIRP, 72, 985–988. doi: 10.1016/j.procir.2018.03.187GlassR.MeissnerA.GebauerC.StürmerS.MetternichJ.2018Identifying the barriers to Industrie 4.0Procedia CIRP7298598810.1016/j.procir.2018.03.187Open DOISearch in Google Scholar
Gopalakrishnan, S., & Damanpour, F. (1997). A review of innovation research in economics, sociology and technology management. Omega, International Journal of Management Science, 25(1), 15–28. doi: 10.1016/S0305-0483(96)00043-6GopalakrishnanS.DamanpourF.1997A review of innovation research in economics, sociology and technology managementOmega, International Journal of Management Science251152810.1016/S0305-0483(96)00043-6Open DOISearch in Google Scholar
Gorecky, D., Schmitt, M., Loskyll, M., & Zuhlke, D. (2014). Human-machine-interaction in the industry 4.0 era. 2014 12th IEEE International Conference on Industrial Informatics (INDIN). doi: 10.1109/indin.2014.6945523GoreckyD.SchmittM.LoskyllM.ZuhlkeD.2014Human-machine-interaction in the industry 4.0 era2014 12th IEEE International Conference on Industrial Informatics (INDIN)10.1109/indin.2014.6945523Open DOISearch in Google Scholar
Greenhalgh, T., Robert, G., Macfarlane, F., Bate, P., & Kyriakidou, O. (2004). Diffusion of innovations in service organizations: systematic review and recommendations. The Milbank Quarterly, 82(4), 581–629. doi: 10.1111/j.0887-378X.2004.00325.xGreenhalghT.RobertG.MacfarlaneF.BateP.KyriakidouO.2004Diffusion of innovations in service organizations: systematic review and recommendationsThe Milbank Quarterly82458162910.1111/j.0887-378X.2004.00325.x269018415595944Open DOISearch in Google Scholar
Gülbahar, Y. (2007). Technology planning: A roadmap to successful technology integration in schools. Computers & Education, 49, 943–956. doi: 10.1016/j.compedu.2005.12.002GülbaharY.2007Technology planning: A roadmap to successful technology integration in schoolsComputers & Education4994395610.1016/j.compedu.2005.12.002Open DOISearch in Google Scholar
Habicht, H., Möslein, K. M., & Reichwald, R. (2012). Open innovation maturity. International Journal of Knowledge-Based Organizations, 2(1), 92–111. doi: 0.1142/S1363919611003696HabichtH.MösleinK. M.ReichwaldR.2012Open innovation maturityInternational Journal of Knowledge-Based Organizations21921110.1142/S1363919611003696Open DOISearch in Google Scholar
Ham, J., Lee, J. N., Kim, D. J., & Choi, B. (2015). Open innovation maturity model for the government: An open system perspective. Proceedings of the 36thInternational Conference on Information Systems, Fort Worth, Texas, United States.HamJ.LeeJ. N.KimD. J.ChoiB.2015Open innovation maturity model for the government: An open system perspectiveProceedings of the 36th International Conference on Information SystemsFort Worth, Texas, United StatesSearch in Google Scholar
Hameed, M. A., Counsell, S., & Swift, S. (2012). A conceptual model for the process of IT innovation adoption in organizations. Journal of Engineering and Technology Management, 29(3), 358–390. doi: 10.1016/j.jengtecman.2012.03.007HameedM. A.CounsellS.SwiftS.2012A conceptual model for the process of IT innovation adoption in organizationsJournal of Engineering and Technology Management29335839010.1016/j.jengtecman.2012.03.007Open DOISearch in Google Scholar
Hart, S., Jan Hultink, E., Tzokas, N., & Commandeur, H. R. (2003). Industrial companies’ evaluation criteria in new product development gates. Journal of Product Innovation Management, 20(1), 22–36. doi: 10.1111/1540-5885.201003HartS.Jan HultinkE.TzokasN.CommandeurH. R.2003Industrial companies’ evaluation criteria in new product development gatesJournal of Product Innovation Management201223610.1111/1540-5885.201003Open DOISearch in Google Scholar
Hassan, H. (2017). Organizational factors affecting cloud computing adoption in small and medium enterprises (SMEs) in service sector. International Conference on Enterprise Information Systems, Barcelona, Spain, 976–981. doi: 10.1016/j.procs.2017.11.126HassanH.2017Organizational factors affecting cloud computing adoption in small and medium enterprises (SMEs) in service sectorInternational Conference on Enterprise Information SystemsBarcelona, Spain97698110.1016/j.procs.2017.11.126Open DOISearch in Google Scholar
Hermann, M., Pentek, T., & Otto, B. (2016). Design principles for Industrie 4.0 scenarios. 2016 49th Hawaii International Conference on System Sciences (HICSS). doi: 10.1109/hicss.2016.488HermannM.PentekT.OttoB.2016Design principles for Industrie 4.0 scenarios2016 49th Hawaii International Conference on System Sciences (HICSS)10.1109/hicss.2016.488Open DOISearch in Google Scholar
Hinnant, C. C., & O’Looney, J. A. (2003). Examining pre-adoption interest in online innovations: An exploratory study of e-service personalization in the public sector. IEEE Transactions on Engineering Management, 50(4), 436–447. doi: 0.1109/TEM.2003.820133HinnantC. C.O’LooneyJ. A.2003Examining pre-adoption interest in online innovations: An exploratory study of e-service personalization in the public sectorIEEE Transactions on Engineering Management5044364470.1109/TEM.2003.820133Open DOISearch in Google Scholar
Hoffman, D. G. (2002). Managing operational risk: 20 organization-wide best practice strategies. New York, United States: John Wiley & Sons.HoffmanD. G.2002Managing operational risk: 20 organization-wide best practice strategiesNew York, United StatesJohn Wiley & SonsSearch in Google Scholar
Hsu, C. L., & Lin, J. C. C. (2016). Exploring factors affecting the adoption of internet of things services. Journal of Computer Information Systems, 58(1), 49–57. doi: 10.1080/08874417.2016.1186524HsuC. L.LinJ. C. C.2016Exploring factors affecting the adoption of internet of things servicesJournal of Computer Information Systems581495710.1080/08874417.2016.1186524Open DOISearch in Google Scholar
Issa, A., Hatiboglu, B., Bildstein, A., & Bauernhansl, T. (2018). Industrie 4.0 roadmap: Framework for digital transformation based on the concepts of capability maturity and alignment. Procedia CIRP, 72, 973–978.IssaA.HatibogluB.BildsteinA.BauernhanslT.2018Industrie 4.0 roadmap: Framework for digital transformation based on the concepts of capability maturity and alignmentProcedia CIRP7297397810.1016/j.procir.2018.03.151Search in Google Scholar
Issar, G., & Navon, L. R. (2016). Operational Excellence. In G. Issar, & L. R. Navon (Eds.), Manufacturing Overhead (MOH) and Departmental Expense Control (pp. 91–93). Springer International Publishing.IssarG.NavonL. R.2016Operational ExcellenceInIssarG.NavonL. R.(Eds.),Manufacturing Overhead (MOH) and Departmental Expense Control9193Springer International Publishing10.1007/978-3-319-20699-8Search in Google Scholar
Jazdi, N. (2014). Cyber-physical systems in the context of Industry 4.0. 2014 IEEE International Conference on Automation, Quality and Testing, Robotics. doi: 10.1109/aqtr.2014.6857843JazdiN.2014Cyber-physical systems in the context of Industry 4.02014 IEEE International Conference on Automation, Quality and Testing, Robotics10.1109/aqtr.2014.6857843Open DOISearch in Google Scholar
Jeyaraj, A., Rottman, J. W., & Lacity, M. C. (2006). A review of the predictors, linkages, and biases in IT innovation adoption research. Journal of Information Technology, 21, 1–23. doi: 10.1057/palgrave.jit.2000056JeyarajA.RottmanJ. W.LacityM. C.2006A review of the predictors, linkages, and biases in IT innovation adoption researchJournal of Information Technology2112310.1057/palgrave.jit.2000056Open DOISearch in Google Scholar
Joachim, V., Spieth, P., & Heidenreich, S. (2018). Active innovation resistance: An empirical study on functional and psychological barriers to innovation adoption in different contexts. Industrial Marketing Management, 71, 95–107. doi: 10.1016/j.indmarman.2017.12.011JoachimV.SpiethP.HeidenreichS.2018Active innovation resistance: An empirical study on functional and psychological barriers to innovation adoption in different contextsIndustrial Marketing Management719510710.1016/j.indmarman.2017.12.011Open DOISearch in Google Scholar
Joia, L. A., Gutman, L. F., & Moreno, V. (2016). Intention of use of home broker systems from the stock market investors’ perspective. The Journal of High Technology Management Research, 27(2), 184–195. doi: 10.1016/j.hitech.2016.10.008JoiaL. A.GutmanL. F.MorenoV.2016Intention of use of home broker systems from the stock market investors’ perspectiveThe Journal of High Technology Management Research27218419510.1016/j.hitech.2016.10.008Open DOISearch in Google Scholar
Kagermann, H., Helbig, J., Hellinger, A., & Wahlster, W. (2013). Recommendations for implementing the strategic initiative INDUSTRIE 4.0: Securing the future of German manufacturing industry, final report of the Industrie 4.0 Working Group. Forschungs Union.KagermannH.HelbigJ.HellingerA.WahlsterW.2013Recommendations for implementing the strategic initiative INDUSTRIE 4.0: Securing the future of German manufacturing industry, final report of the Industrie 4.0 Working GroupForschungs Union10.3390/sci4030026Search in Google Scholar
Kamble, S. S., Gunasekaran, A., & Gawankar, S. A. (2018). Sustainable Industry 4.0 framework: A systematic literature review identifying the current trends and future perspectives. Process Safety and Environmental Protection, 117, 408–425. doi: 10.1016/j.psep.2018.05.009KambleS. S.GunasekaranA.GawankarS. A.2018Sustainable Industry 4.0 framework: A systematic literature review identifying the current trends and future perspectivesProcess Safety and Environmental Protection11740842510.1016/j.psep.2018.05.009Open DOISearch in Google Scholar
Kang, H. S., Lee, J. Y., Choi, S. S., Kim, H., Park, J. H., Son, J. Y., Kim, B. H., & Noh, S. D. (2016). Smart manufacturing: Past research, present findings, and future directions. International Journal of Precision Engineering and Manufacturing-Green Technology, 3(1), 111–128. doi: 10.1007/s40684-016-0015-5KangH. S.LeeJ. Y.ChoiS. S.KimH.ParkJ. H.SonJ. Y.KimB. H.NohS. D.2016Smart manufacturing: Past research, present findings, and future directionsInternational Journal of Precision Engineering and Manufacturing-Green Technology3111112810.1007/s40684-016-0015-5Open DOISearch in Google Scholar
Kerschner, C., & Ehlers, M. (2016). A framework of attitudes towards technology in theory and practice. Ecological Economics, 126, 139–151. doi: 10.1016/j.ecolecon.2016.02.010KerschnerC.EhlersM.2016A framework of attitudes towards technology in theory and practiceEcological Economics12613915110.1016/j.ecolecon.2016.02.010Open DOISearch in Google Scholar
Kolberg, D., & Zühlke, D. (2015). Lean automation enabled by industry 4.0 technologies. IFAC-PapersOnLine, 48(3), 1870–1875. doi: 10.1016/j.ifacol.2015.06.359KolbergD.ZühlkeD.2015Lean automation enabled by industry 4.0 technologiesIFAC-PapersOnLine4831870187510.1016/j.ifacol.2015.06.359Open DOISearch in Google Scholar
Lee, J., Bagheri, B., & Kao, H. A. (2015). A cyber-physical systems architecture for Industry 4.0-based manufacturing systems. Manufacturing Letters, 3, 18–23. doi: 10.1016/j.mfglet.2014.12.001LeeJ.BagheriB.KaoH. A.2015A cyber-physical systems architecture for Industry 4.0-based manufacturing systemsManufacturing Letters3182310.1016/j.mfglet.2014.12.001Open DOISearch in Google Scholar
Lee, J. H., Phaal, R., & Lee, S.-H. (2013). An integrated service-device-technology roadmap for smart city development. Technological Forecasting and Social Change, 80(2), 286–306. doi: 10.1016/j.tech-fore.2012.09.020LeeJ. H.PhaalR.LeeS.-H.2013An integrated service-device-technology roadmap for smart city developmentTechnological Forecasting and Social Change80228630610.1016/j.tech-fore.2012.09.020Open DOISearch in Google Scholar
Letia, T., & Kilyen, A. (2018). Using unified enhanced time Petri net models for cyber-physical system development. International Federation of Automatic Control PapersOnLine, 51(2), 248–253. doi: 10.1016/j.ifacol.2018.03.043LetiaT.KilyenA.2018Using unified enhanced time Petri net models for cyber-physical system developmentInternational Federation of Automatic Control PapersOnLine51224825310.1016/j.ifacol.2018.03.043Open DOISearch in Google Scholar
Li, X., Ishii, H., & Masuda, T. (2012). Single machine batch scheduling problem with fuzzy batch size. Computers & Industrial Engineering, 62(3), 688–692. doi: 10.1016/j.cie.2011.12.021LiX.IshiiH.MasudaT.2012Single machine batch scheduling problem with fuzzy batch sizeComputers & Industrial Engineering62368869210.1016/j.cie.2011.12.021Open DOISearch in Google Scholar
Liao, Y., Deschamps, F., Loures, E. D. F. R., & Ramos, L. F. P. (2017). Past, present and future of Industry 4.0-a systematic literature review and research agenda proposal. International Journal of Production Research, 55(12), 3609–3629. doi: 10.1080/00207543.2017.1308576LiaoY.DeschampsF.LouresE. D. F. R.RamosL. F. P.2017Past, present and future of Industry 4.0-a systematic literature review and research agenda proposalInternational Journal of Production Research55123609362910.1080/00207543.2017.1308576Open DOISearch in Google Scholar
Lira, V., Tavares, E., & Maciel, P. (2015). An automated approach to dependability evaluation of virtual networks. Computer Networks, 88(9), 89–102. doi: 10.1016/j.comnet.2015.05.016LiraV.TavaresE.MacielP.2015An automated approach to dependability evaluation of virtual networksComputer Networks8898910210.1016/j.comnet.2015.05.016Open DOISearch in Google Scholar
Lombardi, P., Giordano, S., Farouh, H., & Yousef, W. (2012). Modelling the smart city performance. Innovation: The European Journal of Social Science Research, 25(2), 137–149. doi: 10.1080/13511610.2012.660325LombardiP.GiordanoS.FarouhH.YousefW.2012Modelling the smart city performanceInnovation: The European Journal of Social Science Research25213714910.1080/13511610.2012.660325Open DOISearch in Google Scholar
Lopez, J., & Rubio, J. E. (2018). Access control for cyber-physical systems interconnected to the cloud. Computer Networks, 134, 46–54. doi: 10.1016/j.comnet.2018.01.037LopezJ.RubioJ. E.2018Access control for cyber-physical systems interconnected to the cloudComputer Networks134465410.1016/j.comnet.2018.01.037Open DOISearch in Google Scholar
Lu, Y. (2017). Industry 4.0: A survey on technologies, applications and open research issues. Journal of Industrial Information Integration, 6, 1–10. doi: 10.1016/j.jii.2017.04.005LuY.2017Industry 4.0: A survey on technologies, applications and open research issuesJournal of Industrial Information Integration611010.1016/j.jii.2017.04.005Open DOISearch in Google Scholar
Manral, L. (2010). Demand competition and investment heterogeneity in industries based on systemic technologies: Evidence from the US long-distance telecommunications services industry, 1984–1996. Journal of Evolutionary Economics, 20(5), 765–802. doi: 10.1007/s00191-010-0175-3ManralL.2010Demand competition and investment heterogeneity in industries based on systemic technologies: Evidence from the US long-distance telecommunications services industry, 1984–1996Journal of Evolutionary Economics20576580210.1007/s00191-010-0175-3Open DOISearch in Google Scholar
Martínez-Noya, A., & García-Canal, E. (2017). Location, shared suppliers and the innovation performance of R&D outsourcing agreements. Industry and Innovation, 25(3), 308–332. doi: 10.1080/13662716.2017.1329085Martínez-NoyaA.García-CanalE.2017Location, shared suppliers and the innovation performance of R&D outsourcing agreementsIndustry and Innovation25330833210.1080/13662716.2017.1329085Open DOISearch in Google Scholar
Mathiassen, L., & Munk-Madsen, A. (2007). Formalizations in systems development. Behaviour and Information Technology, 5(2), 145–155. doi: 10.1080/01449298608914507MathiassenL.Munk-MadsenA.2007Formalizations in systems developmentBehaviour and Information Technology5214515510.1080/01449298608914507Open DOISearch in Google Scholar
Mehrad, D., & Mohammadi, S. (2017). Word of Mouth impact on the adoption of mobile banking in Iran. Telematics and Informatics, 34(7), 1351–1363. doi: https://doi.org/10.1016/j.tele.2016.08.009MehradD.MohammadiS.2017Word of Mouth impact on the adoption of mobile banking in IranTelematics and Informatics34713511363https://doi.org/10.1016/j.tele.2016.08.00910.1016/j.tele.2016.08.009Search in Google Scholar
Meyer, A. D., & Goes, J. B. (1988). Organizational assimilation of innovations: A multilevel contextual analysis. Academy of Management Journal, 31(4), 897–923. doi: 10.5465/256344MeyerA. D.GoesJ. B.1988Organizational assimilation of innovations: A multilevel contextual analysisAcademy of Management Journal31489792310.5465/256344Open DOISearch in Google Scholar
Miranda, M. Q., Farias, J. S., De Araújo Schwartz, C., & De Almeida, J. P. (2016). Technology adoption in diffusion of innovations perspective: Introduction of an ERP system in a non-profit organization. RAI Re-vista de Administração e Inovação, 13(1), 48–57. doi: 10.1016/j.rai.2016.02.002MirandaM. Q.FariasJ. S.De Araújo SchwartzC.De AlmeidaJ. P.2016Technology adoption in diffusion of innovations perspective: Introduction of an ERP system in a non-profit organizationRAI Re-vista de Administração e Inovação131485710.1016/j.rai.2016.02.002Open DOISearch in Google Scholar
Miremadi, I., Saboohi, Y., & Jacobsson, S. (2018). Assessing the performance of energy innovation systems: Towards an established set of indicators. Energy Research & Social Science, 40, 159–176. doi: 10.1016/j.erss.2018.01.002MiremadiI.SaboohiY.JacobssonS.2018Assessing the performance of energy innovation systems: Towards an established set of indicatorsEnergy Research & Social Science4015917610.1016/j.erss.2018.01.002Open DOISearch in Google Scholar
Molina, E., & Jacob, E. (2018). Software-defined networking in cyber-physical systems: A survey. Computers & Electrical Engineering, 66, 407–419. doi: 10.1016/j.compeleceng.2017.05.013MolinaE.JacobE.2018Software-defined networking in cyber-physical systems: A surveyComputers & Electrical Engineering6640741910.1016/j.compeleceng.2017.05.013Open DOISearch in Google Scholar
Monostori, L., Kádár, B., Bauernhansl, T., Kondoh, S., Kumara, S., Reinhart, G., Sauer, O., Schuh, G., Sihn, W., & Ueda, K. (2016). Cyber-physical systems in manufacturing. CIRP Annals – Manufacturing Technology, 65(2), 621–641. doi: 10.1016/j.cirp.2016.06.005MonostoriL.KádárB.BauernhanslT.KondohS.KumaraS.ReinhartG.SauerO.SchuhG.SihnW.UedaK.2016Cyber-physical systems in manufacturingCIRP Annals – Manufacturing Technology65262164110.1016/j.cirp.2016.06.005Open DOISearch in Google Scholar
Morrar, R., Arman, H., & Mousa, S. (2017). The fourth industrial revolution (Industry 4.0): A social innovation perspective. Technology Innovation Management Review, 7(11), 12–20. doi: 10.22215/timreview/1117MorrarR.ArmanH.MousaS.2017The fourth industrial revolution (Industry 4.0): A social innovation perspectiveTechnology Innovation Management Review711122010.22215/timreview/1117Open DOISearch in Google Scholar
Müller, J. M. (2019). Antecedents to digital platform usage in Industry 4.0 by established manufacturers. Sustainability, 11(4), 1121. doi: 10.3390/su11041121MüllerJ. M.2019Antecedents to digital platform usage in Industry 4.0 by established manufacturersSustainability114112110.3390/su11041121Open DOISearch in Google Scholar
Müller, J. M., Kiel, D., & Voigt, K. (2018). What drives the implementation of Industry 4.0? The role of opportunities and challenges in the context of sustainability. Sustainability, 10(1), 247. doi:10.3390/su10010247MüllerJ. M.KielD.VoigtK.2018What drives the implementation of Industry 4.0? The role of opportunities and challenges in the context of sustainabilitySustainability10124710.3390/su10010247Open DOISearch in Google Scholar
O’Hern, M. S., & Rindfleisch, A. (2017). Customer co-creation: A typology and research agenda. In Review of marketing research (pp. 108–130). Routledge.O’HernM. S.RindfleischA.2017Customer co-creation: A typology and research agendaInReview of marketing research108130Routledge10.4324/9781315088754-4Search in Google Scholar
Oesterreich, T. D., & Teuteberg, F. (2016). Understanding the implications of digitisation and automation in the context of Industry 4.0: A triangulation approach and elements of a research agenda for the construction industry. Computers in Industry, 83, 121–139. doi: 10.1016/j.compind.2016.09.006OesterreichT. D.TeutebergF.2016Understanding the implications of digitisation and automation in the context of Industry 4.0: A triangulation approach and elements of a research agenda for the construction industryComputers in Industry8312113910.1016/j.compind.2016.09.006Open DOISearch in Google Scholar
Organization for Economic Cooperation and Development (OECD). (2005). Oslo Manual: The measurement of scientific and technological activities. Proposed Guidelines for Collecting an Interpreting Technological Innovation Data.Organization for Economic Cooperation and Development (OECD)2005Oslo Manual: The measurement of scientific and technological activities. Proposed Guidelines for Collecting an Interpreting Technological Innovation DataSearch in Google Scholar
Oyemomi, O., Liu, S., Neaga, I., Chen, H., & Nakpodia, F. (2019). How cultural impact on knowledge sharing contributes to organizational performance: Using the fsQCA approach. Journal of Business Research, 94, 313–319. doi: 10.1016/j.jbusres.2018.02.027OyemomiO.LiuS.NeagaI.ChenH.NakpodiaF.2019How cultural impact on knowledge sharing contributes to organizational performance: Using the fsQCA approachJournal of Business Research9431331910.1016/j.jbusres.2018.02.027Open DOISearch in Google Scholar
Pilke, E. (2004). Flow experiences in information technology use. International Journal of Human-Computer Studies, 61(3), 347–357. doi: 10.1016/j.ijhcs.2004.01.004PilkeE.2004Flow experiences in information technology useInternational Journal of Human-Computer Studies61334735710.1016/j.ijhcs.2004.01.004Open DOISearch in Google Scholar
Plsek, P. (2003). Complexity and the adoption of innovation in health care. Accelerating quality improvement in health care: Strategies to accelerate the diffusion of evidence-based innovations. Washington, United States: National Institute for Healthcare Management Foundation and National Committee for Quality in Health Care.PlsekP.2003Complexity and the adoption of innovation in health care. Accelerating quality improvement in health care: Strategies to accelerate the diffusion of evidence-based innovationsWashington, United StatesNational Institute for Healthcare Management Foundation and National Committee for Quality in Health CareSearch in Google Scholar
Prest A. R., & Turvey R. (1966) Cost-Benefit Analysis: A Survey. In Surveys of Economic Theory. London, United Kingdom: Palgrave Macmillan. doi: 10.1007/978-1-349-00210-8_5PrestA. R.TurveyR.1966Cost-Benefit Analysis: A SurveyInSurveys of Economic TheoryLondon, United KingdomPalgrave Macmillan10.1007/978-1-349-00210-8_5Open DOISearch in Google Scholar
Priyadarshinee, P., Raut, R. D., Jha, M. K., & Kamble, S. S. (2017). A cloud computing adoption in Indian SMEs: Scale development and validation approach. Journal of High Technology Management Research, 28(2), 221–245. doi: 10.1016/j.hitech.2017.10.010PriyadarshineeP.RautR. D.JhaM. K.KambleS. S.2017A cloud computing adoption in Indian SMEs: Scale development and validation approachJournal of High Technology Management Research28222124510.1016/j.hitech.2017.10.010Open DOISearch in Google Scholar
Rajnai, Z., & Kocsis, I. (2018). Assessing industry 4.0 readiness of enterprises. 2018 IEEE 16th World Symposium on Applied Machine Intelligence and Informatics (SAMI), IEEE.RajnaiZ.KocsisI.2018Assessing industry 4.0 readiness of enterprises2018 IEEE 16th World Symposium on Applied Machine Intelligence and Informatics (SAMI), IEEE10.1109/SAMI.2018.8324844Search in Google Scholar
Rogers, E. M. (1995). Diffusion of Innovations. Fourth Ed. New York, United States: Free Press.RogersE. M.1995Diffusion of InnovationsFourth Ed.New York, United StatesFree PressSearch in Google Scholar
Rojko, A. (2017). Industry 4.0 concept: Background and overview. International Journal of Interactive Mobile Technologies, 11(5), 77–90. doi: 10.3991/ijim.v11i5.7072RojkoA.2017Industry 4.0 concept: Background and overviewInternational Journal of Interactive Mobile Technologies115779010.3991/ijim.v11i5.7072Open DOISearch in Google Scholar
Sabherwal, R., & King, W. (1991). Towards a theory of strategic use of information resources: An inductive approach. Information and Management, 20, 191–212. doi: 10.1016/0378-7206(91)90055-7SabherwalR.KingW.1991Towards a theory of strategic use of information resources: An inductive approachInformation and Management2019121210.1016/0378-7206(91)90055-7Open DOISearch in Google Scholar
Salleh, M., Bahari, M., & Zakaria, N. H. (2017). An overview of software functionality service: A systematic literature review. Procedia Computer Science, 124, 337–344. doi: 10.1016/j.procs.2017.12.163SallehM.BahariM.ZakariaN. H.2017An overview of software functionality service: A systematic literature reviewProcedia Computer Science12433734410.1016/j.procs.2017.12.163Open DOISearch in Google Scholar
Schumpeter, J. A. (1934). Change and the Entrepreneur. Essays of JA Schumpeter, 4(23), 45–91.SchumpeterJ. A.1934Change and the EntrepreneurEssays of JA Schumpeter4234591Search in Google Scholar
Shamim, S., Cang, S., Yu, H., & Li, Y. (2016). Management approaches for Industry 4.0: A human resource management perspective. 2016 IEEE Congress on Evolutionary Computation (CEC), IEEE.ShamimS.CangS.YuH.LiY.2016Management approaches for Industry 4.0: A human resource management perspective2016 IEEE Congress on Evolutionary Computation (CEC), IEEE10.1109/CEC.2016.7748365Search in Google Scholar
Sharma, S. K., Al-Badi, A. H., Govindaluri, S. M., & Al-Kharusi, M. H. (2016). Predicting motivators of cloud computing adoption: A developing country perspective. Computers in Human Behavior, 62, 61–69. doi: 10.1016/j.chb.2016.03.073SharmaS. K.Al-BadiA. H.GovindaluriS. M.Al-KharusiM. H.2016Predicting motivators of cloud computing adoption: A developing country perspectiveComputers in Human Behavior62616910.1016/j.chb.2016.03.073Open DOISearch in Google Scholar
Siderska, J., & Mubarok, K. (2018). Cloud Manufacturing Platform and Architecture Design. Multidisciplinary Aspects of Production Engineering, 1(1), 673–680. doi: 10.2478/mape-2018-0085SiderskaJ.MubarokK.2018Cloud Manufacturing Platform and Architecture DesignMultidisciplinary Aspects of Production Engineering1167368010.2478/mape-2018-0085Open DOISearch in Google Scholar
Slater, S. F., & Mohr, J. J. (2006). Successful development and commercialization of technological innovation: Insights based on strategy type. Journal of Product Innovation Management, 23(1), 26–33. doi: 10.1111/j.1540-5885.2005.00178.xSlaterS. F.MohrJ. J.2006Successful development and commercialization of technological innovation: Insights based on strategy typeJournal of Product Innovation Management231263310.1111/j.1540-5885.2005.00178.xOpen DOISearch in Google Scholar
Solis, B. (2016). The six stages of digital transformation maturity. Retrieved from https://www.prophet.com/2016/04/the--six--stages--of--digital--transformation.SolisB.2016The six stages of digital transformation maturityRetrieved from https://www.prophet.com/2016/04/the--six--stages--of--digital--transformation.Search in Google Scholar
Song, J. (2014). Understanding the adoption of mobile innovation in China. Computers in Human Behavior, 38, 339–348. doi: 10.1016/j.chb.2014.06.016SongJ.2014Understanding the adoption of mobile innovation in ChinaComputers in Human Behavior3833934810.1016/j.chb.2014.06.016Open DOISearch in Google Scholar
Sosna, M., Trevinyo-Rodriguez, R. N., & Velamuri, S. R. (2010). Business model innovation through trial-and-error learning: The Naturhouse case. Long Range Planning, 43(2), 383–407. doi: 10.1016/j.lrp.2010.02.003SosnaM.Trevinyo-RodriguezR. N.VelamuriS. R.2010Business model innovation through trial-and-error learning: The Naturhouse caseLong Range Planning43238340710.1016/j.lrp.2010.02.003Open DOISearch in Google Scholar
Stock, T., & Seliger, G. (2016). Opportunities of sustainable manufacturing in industry 4.0. Procedia CIRP, 40, 536–541. doi: 10.1016/j.procir.2016.01.129StockT.SeligerG.2016Opportunities of sustainable manufacturing in industry 4.0Procedia CIRP4053654110.1016/j.procir.2016.01.129Open DOISearch in Google Scholar
Straub, E. T. (2009). Understanding technology adoption: Theory and future directions for informal learning. Review of Educational Research, 79(2), 625–649. doi: 10.3102/0034654308325896StraubE. T.2009Understanding technology adoption: Theory and future directions for informal learningReview of Educational Research79262564910.3102/0034654308325896Open DOISearch in Google Scholar
Sung, T. K. (2018). Industry 4.0: A Korea perspective. Technological Forecasting & Social Change, 132, 40–45. doi: 10.1016/j.techfore.2017.11.005SungT. K.2018Industry 4.0: A Korea perspectiveTechnological Forecasting & Social Change132404510.1016/j.techfore.2017.11.005Open DOISearch in Google Scholar
Suomala, P. (2004). The life cycle dimension of new product development performance measurement. International Journal of Innovation Management, 8(02), 193–221. doi: 10.1142/S1363919604001039SuomalaP.2004The life cycle dimension of new product development performance measurementInternational Journal of Innovation Management80219322110.1142/S1363919604001039Open DOISearch in Google Scholar
Szczerbicki, E. (2008). Smart Systems Integration: Toward overcoming the problem of complexity. Cybernetics and Systems, 39(2), 190–198. doi: 10.1080/01969720701853475SzczerbickiE.2008Smart Systems Integration: Toward overcoming the problem of complexityCybernetics and Systems39219019810.1080/01969720701853475Open DOISearch in Google Scholar
Tao, F., Qi, Q., Liu, A., & Kusiak, A. (2018). Data-driven smart manufacturing. Journal of Manufacturing Systems, 48, 157–169. doi: 10.1016/j.jmsy.2018.01.006TaoF.QiQ.LiuA.KusiakA.2018Data-driven smart manufacturingJournal of Manufacturing Systems4815716910.1016/j.jmsy.2018.01.006Open DOISearch in Google Scholar
Terziyan, V., Gryshko, S., & Golovianko, M. (2018). Patented intelligence: Cloning human decision models for Industry 4.0. Journal of Manufacturing Systems, 48, 204–217. doi: 10.1016/j.jmsy.2018.04.019TerziyanV.GryshkoS.GoloviankoM.2018Patented intelligence: Cloning human decision models for Industry 4.0Journal of Manufacturing Systems4820421710.1016/j.jmsy.2018.04.019Open DOISearch in Google Scholar
Tweedale J. W. (2015). Enhancing the degree of autonomy by creating automated components within a multi-agent system framework. In J. Tweedale, L. Jain, J. Watada, & R. Howlett (Eds.), Knowledge-Based Information Systems in Practice. Smart Innovation, Systems and Technologies. Cham, United Kingdom: Springer. doi: 10.1007/978-3-319-13545-8_15TweedaleJ. W.2015Enhancing the degree of autonomy by creating automated components within a multi-agent system frameworkInTweedaleJ.JainL.WatadaJ.HowlettR.(Eds.),Knowledge-Based Information Systems in Practice. Smart Innovation, Systems and TechnologiesCham, United KingdomSpringer10.1007/978-3-319-13545-8_15Open DOISearch in Google Scholar
van Oorschot, J. A., Hofman, E., & Halman, J. I. (2018). A bibliometric review of the innovation adoption literature. Technological Forecasting and Social Change, 134, 1–21. doi: 10.1016/j.techfore.2018.04.032van OorschotJ. A.HofmanE.HalmanJ. I.2018A bibliometric review of the innovation adoption literatureTechnological Forecasting and Social Change13412110.1016/j.techfore.2018.04.032Open DOISearch in Google Scholar
Vogel-Heuser, B., & Hess, D. (2016). Guest editorial Industry 4.0–prerequisites and visions. IEEE Transactions on Automation Science and Engineering, 13(2), 411–413. doi: 10.1109/TASE.2016.2523639Vogel-HeuserB.HessD.2016Guest editorial Industry 4.0–prerequisites and visionsIEEE Transactions on Automation Science and Engineering13241141310.1109/TASE.2016.2523639Open DOISearch in Google Scholar
Wang, B., Zhao, J., Wan, Z., Ma, J., Li, H., & Ma, J. (2016). Lean intelligent production system and value stream practice. 3rd International Conference on Economics and Management (ICEM 2016). doi:10.12783/dtem/icem2016/4106WangB.ZhaoJ.WanZ.MaJ.LiH.MaJ.2016Lean intelligent production system and value stream practice3rd International Conference on Economics and Management (ICEM 2016)10.12783/dtem/icem2016/4106Open DOISearch in Google Scholar
Wegner, A., Graham, J., & Ribble, E. (2017). A new approach to cyberphysical security in industry 4.0. In Cybersecurity for Industry 4.0 (pp. 59–72). Cham, United Kingdom: Springer. doi: 10.1007/978-3-319-50660-9_3WegnerA.GrahamJ.RibbleE.2017A new approach to cyberphysical security in industry 4.0InCybersecurity for Industry 4.05972Cham, United KingdomSpringer10.1007/978-3-319-50660-9_3Open DOISearch in Google Scholar
Xu, Z. (2006). A note on linguistic hybrid arithmetic averaging operator in multiple attribute group decision making with linguistic information. Group Decision and Negotiation, 15(6), 593–604. doi: 10.1007/s10726-005-9008-4XuZ.2006A note on linguistic hybrid arithmetic averaging operator in multiple attribute group decision making with linguistic informationGroup Decision and Negotiation15659360410.1007/s10726-005-9008-4Open DOISearch in Google Scholar
Yigitcanlar, T., Sabatini-Marques, J., da-Costa, E. M., Kamruzzaman, M., & Ioppolo, G. (2019). Stimulating technological innovation through incentives: Perceptions of Australian and Brazilian firms. Technological Forecasting and Social Change, 146, 403–412. doi: 10.1016/j.techfore.2017.05.039YigitcanlarT.Sabatini-MarquesJ.da-CostaE. M.KamruzzamanM.IoppoloG.2019Stimulating technological innovation through incentives: Perceptions of Australian and Brazilian firmsTechnological Forecasting and Social Change14640341210.1016/j.techfore.2017.05.039Open DOISearch in Google Scholar
Zhang, M., & Hartley, J. L. (2018). Guanxi, IT systems, and innovation capability: the moderating role of proactiveness. Journal of Business Research, 90, 75–86. doi: 10.1016/j.jbusres.2018.04.036ZhangM.HartleyJ. L.2018Guanxi, IT systems, and innovation capability: the moderating role of proactivenessJournal of Business Research90758610.1016/j.jbusres.2018.04.036Open DOISearch in Google Scholar
Zhu, K., Dong, S., Xu, S. X., & Kraemer, K. L. (2006). Innovation diffusion in global contexts: Determinants of post-adoption digital transformation of European companies. European Journal of Information Systems, 15(6), 601–616. doi: 10.1057/palgrave.ejis.3000650ZhuK.DongS.XuS. X.KraemerK. L.2006Innovation diffusion in global contexts: Determinants of post-adoption digital transformation of European companiesEuropean Journal of Information Systems15660161610.1057/palgrave.ejis.3000650Open DOISearch in Google Scholar
, 