text:
= {{Purpose The purpose of this paper is to examine the strategic response
   to Industry 4.0 for Chinese automotive industry and to identify the
   critical factors for its successful implementation.
   Design/methodology/approach A technological, organizational, and
   environmental framework is used to build the structural models, and
   statistical tools are used to validate the model. The data analysis
   helps to determine which factors have impact on the strategic response
   and whether their relationships are positive or negative. Interpretive
   structural modeling method is applied to further analyze these derived
   factors for depicting the relationship.
   Findings The result shows that company size and nature do not increase
   the use of advanced production technologies, while other factors have
   positive impacts on improving the technology adoption among the
   companies surveyed.
   Practical implications A strategic response to Industry 4.0 not only
   helps in improving organizational competitiveness, but it also has
   social and economic implications. For this purpose, empirical data are
   collected to measure the understanding of Industry 4.0 in the Chinese
   automotive industry.
   Originality/value Despite the fact that the Chinese Government has
   proposed the Made in China 2025 approach as a way to promote smart
   manufacturing, little empirical evidence exists in the literature
   validating company's perspective toward Industry 4.0. This paper is to
   fill the research gap.}},
Publisher = {{EMERALD GROUP PUBLISHING LTD}},
Address = {{HOWARD HOUSE, WAGON LANE, BINGLEY BD16 1WA, W YORKSHIRE, ENGLAND}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Lee, CKM (Reprint Author), Hong Kong Polytech Univ, Dept Ind \& Syst Engn, Hong Kong, Hong Kong, Peoples R China.
   Lin, Danping, Shanghai Maritime Univ, Logist Engn Coll, Shanghai, Peoples R China.
   Lee, C. K. M., Hong Kong Polytech Univ, Dept Ind \& Syst Engn, Hong Kong, Hong Kong, Peoples R China.
   Lau, Henry, Univ Western Sydney, Sydney, NSW, Australia.
   Yang, Yang, Univ Warrick, Coventry, W Midlands, England.}},
DOI = {{10.1108/IMDS-09-2017-0403}},
ISSN = {{0263-5577}},
EISSN = {{1758-5783}},
Keywords = {{Automotive industry; Empirical investigation; Industry 4.0;
   Technological; organizational and environmental framework}},
Keywords-Plus = {{ORGANIZATION-ENVIRONMENT FRAMEWORK; CLOUD COMPUTING ADOPTION; TECHNOLOGY
   ADOPTION; FIRM-LEVEL; EDI ADOPTION; ICT ADOPTION; E-COMMERCE;
   DETERMINANTS; MODEL; PERFORMANCE}},
Research-Areas = {{Computer Science; Engineering}},
Web-of-Science-Categories  = {{Computer Science, Interdisciplinary Applications; Engineering,
   Industrial}},
Author-Email = {{ckm.lee@polyu.edu.hk}},
Funding-Acknowledgement = {{National Natural Science Foundation of China {[}71701126]; Shanghai
   Pujiang Program {[}15PJ1402800]; Department of Industrial and Systems
   Engineering of the Hong Kong Polytechnic University}},
Funding-Text = {{The authors' gratitude is extended to the research committee and the
   Department of Industrial and Systems Engineering of the Hong Kong
   Polytechnic University for support in this project (H-ZDAR and G-YBWR).
   In addition, this work is sponsored by National Natural Science
   Foundation of China (71701126) and the Shanghai Pujiang Program (No.
   15PJ1402800).}},
Cited-References = {{Aboelmaged MG, 2014, INT J INFORM MANAGE, V34, P639, DOI 10.1016/j.ijinfomgt.2014.05.002.
   Annunziata M., 2012, GEN ELECT.
   Armstrong M., 2015, ARMSTRONGS HDB REWAR.
   Armstrong M., 2010, ARMSTRONGS HDB REWAR.
   Asare AK, 2016, J BUS IND MARK, V31, P1, DOI 10.1108/JBIM-02-2015-0022.
   Azmi A, 2016, INT J ACCOUNT INF SY, V23, P1, DOI 10.1016/j.accinf.2016.06.001.
   Bayo-Moriones A, 2007, TECHNOVATION, V27, P352, DOI 10.1016/j.technovation.2007.01.003.
   Belfo F, 2013, INT J INF SYST SERV, V5, P1, DOI 10.4018/jisss.2013040101.
   Benesova A, 2017, PROCEDIA MANUF, V11, P2195, DOI 10.1016/j.promfg.2017.07.366.
   Buchanan T, 2013, J COMPUT HIGH EDUC, V25, P1, DOI 10.1007/s12528-013-9066-6.
   Byrch C, 2007, QUAL RES ACCOUNT MAN, V4, P26, DOI 10.1108/11766090710732497.
   Chan FTS, 2012, DECIS SUPPORT SYST, V54, P621, DOI 10.1016/j.dss.2012.08.009.
   Chan FTS, 2012, INT J PROD ECON, V138, P329, DOI 10.1016/j.ijpe.2012.04.004.
   Chang SC, 2002, INT J TECHNOL MANAGE, V24, P70, DOI 10.1504/IJTM.2002.003045.
   Chao SL, 2009, INT J PROD ECON, V122, P67, DOI 10.1016/j.ijpe.2008.12.021.
   DAVIS FD, 1989, MANAGE SCI, V35, P982, DOI 10.1287/mnsc.35.8.982.
   Eschenbrenner B, 2016, LECT NOTES COMPUT SC, V9751, P502, DOI 10.1007/978-3-319-39396-4\_46.
   Fabiani S, 2005, IND CORP CHANGE, V14, P225, DOI 10.1093/icc/dth050.
   Field A., 2013, DISCOVERING STAT USI.
   Fu HP, 2006, INT J OPER PROD MAN, V26, P1301, DOI 10.1108/01443570610710560.
   Ge XY, 2014, SAE INT J COMMER VEH, V7, P588, DOI 10.4271/2014-01-2410.
   Hassan H, 2017, J ORG COMP ELECT COM, V27, P304, DOI 10.1080/10919392.2017.1363584.
   He XY, 2012, J ASIAN ECON, V23, P270, DOI 10.1016/j.asieco.2011.10.004.
   Henderson D, 2012, INT J ACCOUNT INF SY, V13, P109, DOI 10.1016/j.accinf.2012.02.001.
   Huang ZY, 2008, INFORM SYST MANAGE, V25, P273, DOI 10.1080/10580530802151228.
   Hwang BN, 2016, SUSTAINABILITY-BASEL, V8, DOI 10.3390/su8020168.
   Jia Q, 2017, COMPUT HUM BEHAV, V67, P95, DOI 10.1016/j.chb.2016.10.022.
   Jin A., 2015, CONTROL ENG.
   Jones P, 2005, MARK INTELL PLAN, V23, P395, DOI 10.1108/02634500510603492.
   Joo J, 2011, INT J HUM-COMPUT ST, V69, P139, DOI 10.1016/j.ijhcs.2010.11.002.
   Kagermann H., 2013, ECOMMENDATIONS IMPLE.
   Kagermann H, 2015, MANAGEMENT PERMANENT, P23, DOI DOI 10.1007/978-3-658-05014-6\_2.
   Kamaruddin NK, 2009, J MANUF TECHNOL MANA, V20, P385, DOI 10.1108/17410380910936819.
   Kasahara T., 2015, INT J INNOVATION TEC, V12, P1.
   Kuan KKY, 2001, INFORM MANAGE, V38, P507, DOI 10.1016/S0378-7206(01)00073-8.
   Lee J, 2014, PROC CIRP, V16, P3, DOI 10.1016/j.procir.2014.02.001.
   Lee OK, 2009, J GLOB INF MANAG, V17, P70, DOI 10.4018/jgim.2009010104.
   Leung D., 2015, Tourism Recreation Research, V40, P391, DOI 10.1080/02508281.2015.1090152.
   Li L., 2017, TECHNOLOGICAL FORECA.
   Li XM, 2017, WIREL NETW, V23, P23, DOI 10.1007/s11276-015-1133-7.
   Lichtenstein B., 2001, ENTREP THEORY PRACT, V25, P37.
   Lin CY, 2009, SUPPLY CHAIN MANAG, V14, P369, DOI 10.1108/13598540910980288.
   Lin HF, 2014, TECHNOL FORECAST SOC, V86, P80, DOI 10.1016/j.techfore.2013.09.001.
   Low CY, 2011, IND MANAGE DATA SYST, V111, P1006, DOI 10.1108/02635571111161262.
   Luglietti R., 2014, IEEE INT C ENG TECHN, P1, DOI DOI 10.1109/ICE.2014.6871603.
   MacDougall W., 2014, IND 4 0 SMART MANUFA.
   Maduku DK, 2016, INT J INFORM MANAGE, V36, P711, DOI 10.1016/j.ijinfomgt.2016.04.018.
   Masoni R, 2017, PROCEDIA MANUF, V11, P1296, DOI 10.1016/j.promfg.2017.07.257.
   Motyl B, 2017, PROCEDIA MANUF, V11, P1501, DOI 10.1016/j.promfg.2017.07.282.
   Noruis M.J., 2006, SPSS 14 0 GUIDE DATA.
   Nunnally J.C., 1975, INTRO STAT PSYCHOL E.
   Nunnally J. C., 1994, PSYCHOMETRIC THEORY.
   Oliveira T, 2014, INFORM MANAGE-AMSTER, V51, P497, DOI 10.1016/j.im.2014.03.006.
   Osakwe CN, 2016, INFORM DEV, V32, P904, DOI 10.1177/0266666915573551.
   Pan MJ, 2008, J COMPUT INFORM SYST, V48, P94.
   Poonpakdee P, 2017, PROCEDIA COMPUT SCI, V110, P46, DOI 10.1016/j.procs.2017.06.113.
   Poudel B, 2017, CONSUM COMM NETWORK, P841, DOI 10.1109/CCNC.2017.7983243.
   Racherla Pradeep, 2008, Journal of Hospitality \& Leisure Marketing, V17, P30, DOI 10.1080/10507050801978372.
   Ramanathan Lakshmanan, 2015, Journal of Systems and Information Technology, V17, P167, DOI 10.1108/JSIT-10-2014-0070.
   Reyes PM, 2016, EUR J OPER RES, V254, P801, DOI 10.1016/j.ejor.2016.03.051.
   Sackey SM, 2016, S AFR J IND ENG, V27, P101, DOI 10.7166/27-4-1579.
   Saldanha TJV, 2012, J ORG COMP ELECT COM, V22, P301, DOI 10.1080/10919392.2012.723585.
   Schlaepfer R. C., 2015, IND 4 0 CHALLENGES S.
   Schmidt R., 2015, P INT C BUS INF SYST, P16, DOI DOI 10.1007/978-3-319-19027-3\_2.
   Schwab K., 2017, 4 IND REVOLUTION.
   Scupola A., 2003, Journal of Global Information Technology Management (JGITM), V6, P52.
   Sethuraman R, 2005, J RETAILING, V81, P107, DOI 10.1016/j.jretai.2005.03.003.
   Sila I, 2013, ELECTRON COMMER RES, V13, P199, DOI 10.1007/s10660-013-9110-7.
   Smith M, 2008, ASIAN REV ACCOUNT, V16, P197, DOI 10.1108/13217340810906672.
   Song SM, 2015, TOUR ANAL, V20, P689, DOI 10.3727/108354215X14464845878156.
   Tang R., 2012, CHINAS AUTO SECTOR D.
   Theorin A, 2017, INT J PROD RES, V55, P1297, DOI 10.1080/00207543.2016.1201604.
   Tong S., 2016, MADE CHINA 2025 GRAN.
   Tornatzky L. G., 1990, PROCESS TECHNOLOGICA.
   Tupa J, 2017, PROCEDIA MANUF, V11, P1223, DOI 10.1016/j.promfg.2017.07.248.
   Unger H, 2017, PROCEDIA MANUF, V11, P796, DOI 10.1016/j.promfg.2017.07.181.
   Venkatesh V, 2000, MANAGE SCI, V46, P186, DOI 10.1287/mnsc.46.2.186.11926.
   Veza I., 2015, INT SCI C PROD ENG C, P1.
   Vinodkumar MN, 2010, ACCIDENT ANAL PREV, V42, P2082, DOI 10.1016/j.aap.2010.06.021.
   Wang YS, 2016, TOURISM MANAGE, V53, P163, DOI 10.1016/j.tourman.2015.09.021.
   Weyer S, 2016, IFAC PAPERSONLINE, V49, P97, DOI 10.1016/j.ifacol.2016.12.168.
   Wu DZ, 2015, COMPUT AIDED DESIGN, V59, P1, DOI 10.1016/j.cad.2014.07.006.
   Xu X, 2012, ROBOT CIM-INT MANUF, V28, P75, DOI 10.1016/j.rcim.2011.07.002.
   Yang SS, 2015, PROC CIRP, V29, P774, DOI 10.1016/j.procir.2015.01.017.
   Yeh CH, 2015, INFORM DEV, V31, P435, DOI 10.1177/0266666913516027.}},
Number-of-Cited-References = {{85}},
Times-Cited = {{1}},
Usage-Count-Last-180-days = {{13}},
Usage-Count-Since-2013 = {{13}},
Journal-ISO = {{Ind. Manage. Data Syst.}},
Doc-Delivery-Number = {{GB0BB}},
Unique-ID = {{ISI:000428706500006}},
DA = {{2018-07-05}},
}

@article{ ISI:000428720500003,
Author = {Cozmiuc, Diana and Petrisor, Ioan},
Title = {{Industrie 4.0 by Siemens: Steps Made Next}},
Journal = {{JOURNAL OF CASES ON INFORMATION TECHNOLOGY}},
Year = {{2018}},
Volume = {{20}},
Number = {{1}},
Pages = {{31-45}},
Month = {{JAN-MAR}},
Abstract = {{This article describes how digital disruption transforms all industries,
   leading to new business models based on the new technologies. In
   manufacturing, one model for digital disruption is Industrie 4.0,
   supported mainly in Germany. Proposals for Industrie 4.0 involve the
   virtualization and vertical and horizontal integration of the value
   chain, digital services, the digital transformation of products, the
   digital transformation of production equipment, the digital
   transformation of factories and supply chains. Whereas the former two
   are already in place today, the latter is researched and developed.
   Products and production equipment will be transformed from physical to
   cyber-physical. Together, they will negotiate as peers over the Internet
   of Things and form smart factories. Via the Internet of Services, the
   entire supply chain will be integrated. The most popular business model
   is mass customization, according to which the customer order triggers
   production and logistics in the entire supply chain. Siemens intends to
   use information technology to migrate customers to tomorrow's
   digitalization.}},
Publisher = {{IGI GLOBAL}},
Address = {{701 E CHOCOLATE AVE, STE 200, HERSHEY, PA 17033-1240 USA}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Cozmiuc, D (Reprint Author), West Univ Timisoara, Timisoara, Romania.
   Cozmiuc, Diana; Petrisor, Ioan, West Univ Timisoara, Timisoara, Romania.}},
DOI = {{10.4018/JCIT.2018010103}},
ISSN = {{1548-7717}},
EISSN = {{1548-7725}},
Keywords = {{Cyber-Physical Systems; Industrie 4.0; Internet of Services; Internet of
   Things; Smart Factories; Smart Production Equipment; Smart Products;
   Smart Supply Chains}},
Keywords-Plus = {{SMART FACTORIES}},
Research-Areas = {{Computer Science}},
Web-of-Science-Categories  = {{Computer Science, Information Systems}},
Cited-References = {{Agarwal A, 2007, IND MARKET MANAG, V36, P443, DOI 10.1016/j.indmarman.2005.12.004.
   {[}Anonymous], 2017, MORNING STAR    0430.
   Boston Consulting Group, 2015, IND 4 0 FUTURE PRODU.
   Brettel M., 2016, PROCEDIA CIRP, V41.
   CapGemeni, 2016, IND 4 0 CAPG CONS VI.
   CIMData, 2016, SIEM PLM SOFTW SIMC.
   Cognizant, 2014, INF MAN NEXT IND REV.
   Cognizant, 2014, NEXT WAV MAN REL PLA.
   CREMA, 2015, PROV CLOUD BAS RAP E.
   Engineering.com, 2014, WILL GE PTCS JOINT V.
   General Electric, 2012, IND INTERNET PUSHING.
   Hehenberger P, 2017, COMPUT IND, V86, P70, DOI 10.1016/j.compind.2016.12.002.
   Ivanov D, 2016, IFAC PAPERSONLINE, V49, P839, DOI 10.1016/j.ifacol.2016.07.879.
   Kagermann H., 2014, IND 4 0 PRODUKTION A, P603, DOI DOI 10.1007/978-3-658-04682-8.
   Kagermann H., 2013, RECOMMENDATIONS IMPL.
   Kagermann H., 2011, IND 4 0 MIT INTERNET, V13.
   KPMG, 2015, 4 IND REV DOES FACT.
   Kumari M, 2016, PROC CIRP, V41, P63, DOI 10.1016/j.procir.2015.12.032.
   Lee Jay, 2015, Manufacturing Letters, V3, P18, DOI 10.1016/j.mfglet.2014.12.001.
   Monostori L, 2016, CIRP ANN-MANUF TECHN, V65, P621, DOI 10.1016/j.cirp.2016.06.005.
   Oracle, 2012, OR ENT PROD LIF MAN.
   Plattform Industrie 4.0, 2013, PLATTF IND 4 0 2013.
   Plattform Industrie 4.0, 2014, PLATTF IND 4 0 2014.
   PriceWaterhouse Coopers, 2016, IND 4 0 BUILD DIG EN.
   Prinz C, 2016, PROC CIRP, V54, P113, DOI 10.1016/j.procir.2016.05.105.
   Qin J, 2016, PROC CIRP, V52, P173, DOI 10.1016/j.procir.2016.08.005.
   Rodger JA, 2014, EXPERT SYST APPL, V41, P7005, DOI 10.1016/j.eswa.2014.05.012.
   Schuh G, 2014, PROC CIRP, V19, P51, DOI 10.1016/j.procir.2014.05.016.
   Siemens, 2013, SHAP FUT PROD SIEM.
   Siemens, 2016, WEB SYST VIS CHALL P.
   Siemens, 2016, AD GLOB MAN NETW CR.
   Siemens, 2016, SIN EN DIG IND DAT A.
   Siemens, 2014, FUT MAN VIEW EN TECH.
   Siemens, 2015, CYB PHYS SYST CONTR.
   Siemens, 2015, WEB SYST RES REAL WO.
   Siemens, 2016, DIG EN MAN DRIV DIG.
   Siemens, 2015, AN FIELD EN SMART AU.
   Siemens, 2013, SIEM ANN REP.
   Siemens, 2015, WEB SYST DIG WORLD.
   Siemens, 2016, IND 4 0 7 FACTS KNOW.
   Siemens, 2015, DIGITAL TWIN    1003.
   Siemens, 2017, TECN MAN PLANN MAN.
   SmartFactoryKL, 2014, SMARTFACTORYKL IND 4.
   Stock T, 2016, PROC CIRP, V40, P536, DOI 10.1016/j.procir.2016.01.129.
   Strategy+ business, 2016, THOUGHT LEAD SIEM CE.
   The Digital Manufacturing and Design Innovation Institute, 2016, JOIN REV AM MAN.
   Thoben KD, 2014, PROC TECH, V15, P1, DOI 10.1016/j.protcy.2014.09.028.
   Toro C., 2015, PROCEDIA COMPUTER SC, V60.
   Veza I, 2015, IFAC PAPERSONLINE, V48, P555, DOI 10.1016/j.ifacol.2015.06.139.}},
Number-of-Cited-References = {{49}},
Times-Cited = {{0}},
Usage-Count-Last-180-days = {{26}},
Usage-Count-Since-2013 = {{26}},
Journal-ISO = {{J. Cases Inf. Technol.}},
Doc-Delivery-Number = {{GB0FJ}},
Unique-ID = {{ISI:000428720500003}},
DA = {{2018-07-05}},
}

@incollection{ ISI:000430506900004,
Author = {Satoglu, Sule and Ustundag, Alp and Cevikcan, Emre and Durmusoglu,
   Mehmet Bulent},
Book-Author = {{Ustundag, A
   Cevikcan, E}},
Title = {{Lean Production Systems for Industry 4.0}},
Booktitle = {{INDUSTRY 4.0: MANAGING THE DIGITAL TRANSFORMATION}},
Series = {{Springer Series in Advanced Manufacturing}},
Year = {{2018}},
Pages = {{43-59}},
Abstract = {{Succeeding a cultural and people oriented transformation, Lean Producers
   adopts the philosophy of doing more with less by eliminating
   non-value-added activities from production processes to maintain
   effectiveness, flexibility, and profitability. With the context of
   Industry 4.0, new solutions are available for combining automation
   technology with Lean Production. Moreover, when effective resource
   (finance, labour, material, machine/equipment) usage is concerned, it is
   obvious that Industry 4.0 should be applied on lean processes. In this
   context, this chapter attempts to emphasize the interaction between Lean
   Production and Industry 4.0 and proposes a methodology which provides
   guidance for Industry 4.0 under lean production environment. Moreover,
   Industry 4.0 technologies and automation oriented Lean Production
   applications are also included.}},
Publisher = {{SPRINGER-VERLAG LONDON LTD}},
Address = {{SWEETAPPLE HOUSE CATTESHALL RD FARNCOMBE, GODALMING GU7 1NH, SURREY,
   ENGLAND}},
Type = {{Article; Book Chapter}},
Language = {{English}},
Affiliation = {{Satoglu, S (Reprint Author), Istanbul Tech Univ, Dept Ind Engn, Fac Management, TR-34367 Istanbul, Turkey.
   Satoglu, Sule; Ustundag, Alp; Cevikcan, Emre; Durmusoglu, Mehmet Bulent, Istanbul Tech Univ, Dept Ind Engn, Fac Management, TR-34367 Istanbul, Turkey.}},
DOI = {{10.1007/978-3-319-57870-5\_3}},
ISSN = {{1860-5168}},
ISBN = {{978-3-319-57870-5; 978-3-319-57869-9}},
Keywords-Plus = {{AUTOMATION; INTERNET}},
Research-Areas = {{Engineering}},
Web-of-Science-Categories  = {{Engineering, Manufacturing}},
Author-Email = {{onbaslis@itu.edu.tr
   ustundaga@itu.edu.tr
   cevikcan@itu.edu.tr
   durmusoglum@itu.edu.tr}},
ResearcherID-Numbers = {{Ustundag, Alp/L-9108-2018}},
ORCID-Numbers = {{Ustundag, Alp/0000-0003-2151-4759}},
Cited-References = {{Ahuja IPS, 2008, INT J QUAL RELIAB MA, V25, P709, DOI 10.1108/02656710810890890.
   Andrecioli R, 2008, P IMECE2008 BOST MAS.
   AZUMA R, 1997, PRESENCE-TELEOP VIRT, V6.
   Bailey-Van Kuren M, 2003, IEEE ASME INT C ADV, P663, DOI 10.1109/AIM.2003.1225173.
   Bal Alperen, 2014, Global Conference on Engineering and Technology Management: ``Gaining Competitive Edge through Engineering and Technology Management{''} (GCETM 2014). Proceedings, P82.
   Biedermann H, 2016, PROD MANAGE, V21, P41.
   Bilberg A, 2006, Annals of DAAAM for 2006 \& Proceedings of the 17th International DAAAM Symposium, P35.
   Bilberg A, 2012, 22 INT C FLEX AUT IN.
   Blochl SJ, 2016, PROC CIRP, V54, P130, DOI 10.1016/j.procir.2016.04.100.
   Burg J, LEAN PRINCIPLES DONT.
   Buyya R, 2008, P 10 IEEE INT C HIGH.
   Calheiros R. N., 2009, ARXIV09032525.
   Coffey D, 2006, ASSEMBLY AUTOM, V26, P98, DOI 10.1108/01445150610658068.
   Conner B.P., 2014, ADDITIVE MANUFACTURI, V1-4, P64, DOI DOI 10.1016/J.ADDMA.2014.08.005.
   Danielsson F, 2010, 11TH MIDDLE EASTERN SIMULATION MULTICONFERENCE (MESM'2010) -1ST GAMEON-ARABIA CONFERENCE, P101.
   Dez JV, 2015, PROCEDIA CIRP, V32, P150.
   Doh SW, 2016, ADV TRANSDISCIPL ENG, V4, P642, DOI 10.3233/978-1-61499-703-0-642.
   Durmusoglu MB, 2011, INT J PROD RES, V49, P5231, DOI 10.1080/00207543.2010.510487.
   Gingerich K, 2017, LEAN PRODUCTION AUTO.
   Gubbi J, 2013, FUTURE GENER COMP SY, V29, P1645, DOI 10.1016/j.future.2013.01.010.
   Harris R, 2008, MANUF ENG.
   Kamaryt T., 2014, P 24 INT C FLEX AUT, P377.
   Kolberg D, 2017, INT J PROD RES, V55, P2845, DOI 10.1080/00207543.2016.1223384.
   Kolberg D, 2015, IFAC PAPERSONLINE, V48, P1870, DOI 10.1016/j.ifacol.2015.06.359.
   Lage M, 2010, INT J PROD ECON, V125, P13, DOI 10.1016/j.ijpe.2010.01.009.
   Lee Jay, 2013, Manufacturing Letters, V1, P38, DOI 10.1016/j.mfglet.2013.09.005.
   Liker JK, 2006, ACAD MANAGE PERSPECT, V20, P5, DOI 10.5465/AMP.2006.20591002.
   Liker JK, 2004, TOYOTA WAY 14 MANAGE.
   Mahdavi SH, 2006, AUTON ROBOT, V20, P149, DOI 10.1007/s10514-006-5941-6.
   MAPR, 2015, PRED MAINT US HAD OI.
   Ohno T., 1988, TOYOTA PRODUCTION SY.
   Piercy N, 2009, INT J OPER PROD MAN, V29, P54, DOI 10.1108/01443570910925361.
   Rauch E, 2016, PROC CIRP, V50, P26, DOI 10.1016/j.procir.2016.05.081.
   Rother M., 2001, CREATING CONTINUOUS.
   Ruttimann BG, 2016, J SERV SCI MANAG, V9, DOI DOI 10.4236/jssm.2016.96051.
   Sanders A, 2016, J IND ENG MANAG-JIEM, V9, P811, DOI 10.3926/jiem.1940.
   Satoglu S. I., 2015, P INT JOINT C NEUR N, P1.
   Satoglu SI, 2006, INT J PROD ECON, V103, P616, DOI 10.1016/j.ijpe.2005.12.003.
   Seifermann S, 2014, PROC CIRP, V17, P588, DOI 10.1016/j.procir.2014.01.065.
   Servan J, 2012, KEY ENG MATER, V502, P25, DOI 10.4028/www.scientific.net/KEM.502.25.
   Sibatrova SV, 2016, 66STI2016 WP BRP.
   Synnes EL, 2016, PROC CIRP, V54, P221, DOI 10.1016/j.procir.2016.05.090.
   Takeda H., 2006, SYNCHRONIZED PRODUCT.
   Tao F, 2014, IEEE T IND INFORM, V10, P1435, DOI 10.1109/TII.2014.2306383.
   Tuegel Eric J., 2011, International Journal of Aerospace Engineering, DOI 10.1155/2011/154798.
   Veza I, 2016, TEH VJESN, V23, P1317, DOI 10.17559/TV-20160202120909.
   Weber A, 2016, AUTOMATION LEAN HELP.
   Womack J.P., 2010, LEAN THINKING BANISH.
   Wurth Industrie Service GmbH \& Co, 2013, KG IBIN R STOCKS FOC.
   Zuehlke D, 2010, ANNU REV CONTROL, V34, P129, DOI 10.1016/j.arcontrol.2010.02.008.}},
Number-of-Cited-References = {{50}},
Times-Cited = {{0}},
Usage-Count-Last-180-days = {{0}},
Usage-Count-Since-2013 = {{0}},
Doc-Delivery-Number = {{BK0FS}},
Unique-ID = {{ISI:000430506900004}},
DA = {{2018-07-05}},
}

@incollection{ ISI:000430506900005,
Author = {Akdil, Kartal Yagiz and Ustundag, Alp and Cevikcan, Emre},
Book-Author = {{Ustundag, A
   Cevikcan, E}},
Title = {{Maturity and Readiness Model for Industry 4.0 Strategy}},
Booktitle = {{INDUSTRY 4.0: MANAGING THE DIGITAL TRANSFORMATION}},
Series = {{Springer Series in Advanced Manufacturing}},
Year = {{2018}},
Pages = {{61-94}},
Abstract = {{Companies that transform their businesses and operations regarding to
   Industry 4.0 principles face complex processes and high budgets due to
   dependent technologies that effect process inputs and outputs. In
   addition, since Industry 4.0 transformation creates a change in a
   business manner and value proposition, it becomes highly important
   concept that requires support of top management for the projects and
   investments. Therefore, it requires a broad perspective on the company's
   strategy, organization, operations and products. So, the maturity model
   is suitable for companies planning to transform their businesses and
   operations for Industry 4.0. It is a very important technique for
   Industry 4.0 in terms of companies seeking for assessing their
   processes, products and organizations and understanding their maturity
   level. In this chapter, existing maturity models for Industry 4.0
   transformation are reviewed and a new Industry 4.0 maturity model is
   proposed.}},
Publisher = {{SPRINGER-VERLAG LONDON LTD}},
Address = {{SWEETAPPLE HOUSE CATTESHALL RD FARNCOMBE, GODALMING GU7 1NH, SURREY,
   ENGLAND}},
Type = {{Article; Book Chapter}},
Language = {{English}},
Affiliation = {{Akdil, KY (Reprint Author), Istanbul Tech Univ, Fac Management, Dept Ind Engn, TR-34367 Istanbul, Turkey.
   Akdil, Kartal Yagiz; Ustundag, Alp; Cevikcan, Emre, Istanbul Tech Univ, Fac Management, Dept Ind Engn, TR-34367 Istanbul, Turkey.}},
DOI = {{10.1007/978-3-319-57870-5\_4}},
ISSN = {{1860-5168}},
ISBN = {{978-3-319-57870-5; 978-3-319-57869-9}},
Research-Areas = {{Engineering}},
Web-of-Science-Categories  = {{Engineering, Manufacturing}},
Author-Email = {{akdilyagiz@gmail.com
   ustundaga@itu.edu.tr
   cevikcan@itu.edu.tr}},
ResearcherID-Numbers = {{Ustundag, Alp/L-9108-2018}},
ORCID-Numbers = {{Ustundag, Alp/0000-0003-2151-4759}},
Cited-References = {{Backlund F, 2014, PROCD SOC BEHV, V119, P837, DOI 10.1016/j.sbspro.2014.03.094.
   Duffy J., 2001, STRATEGY LEADERSHIP, V29, P19, DOI DOI 10.1108/EUM0000000006530.
   Erol S, 2016, INT C COMP MAN.
   Ganzarain J, 2016, J IND ENG MANAG-JIEM, V9, P1119, DOI 10.3926/jiem.2073.
   Geissbauer R., IND 4 0 BUILDING DIG.
   Lichtblau K., 2015, IMPULS IND 4 0 READI.
   Mettler T., 2009, DESIGN SCI RES PERSP.
   Nikkhou S, 2016, PROCD SOC BEHV, V226, P318, DOI 10.1016/j.sbspro.2016.06.194.
   Porter ME, 2015, HARVARD BUS REV, V93, P96.
   Proenca D, 2016, PROCEDIA COMPUT SCI, V100, P1042, DOI 10.1016/j.procs.2016.09.279.
   Rockwell Automation, 2016, CONN ENT MAT MOD.
   Schmidt R., 2015, P INT C BUS INF SYST, P16, DOI DOI 10.1007/978-3-319-19027-3\_2.
   Schreiber B, 2016, PROCUREMENT 4 0 DIGI.
   Schumacher A, 2016, PROC CIRP, V52, P161, DOI 10.1016/j.procir.2016.07.040.
   Tarhan A, 2016, INFORM SOFTWARE TECH, V75, P122, DOI 10.1016/j.infsof.2016.01.010.}},
Number-of-Cited-References = {{15}},
Times-Cited = {{0}},
Usage-Count-Last-180-days = {{0}},
Usage-Count-Since-2013 = {{0}},
Doc-Delivery-Number = {{BK0FS}},
Unique-ID = {{ISI:000430506900005}},
DA = {{2018-07-05}},
}

@incollection{ ISI:000430506900007,
Author = {Isikli, Erkan and Yanik, Seda and Cevikcan, Emre and Ustundag, Alp},
Book-Author = {{Ustundag, A
   Cevikcan, E}},
Title = {{Project Portfolio Selection for the Digital Transformation Era}},
Booktitle = {{INDUSTRY 4.0: MANAGING THE DIGITAL TRANSFORMATION}},
Series = {{Springer Series in Advanced Manufacturing}},
Year = {{2018}},
Pages = {{105-121}},
Abstract = {{By bringing various technological advances together, Industry 4.0
   promises production systems to boost in productivity. The transformation
   of the existing production systems into an Industry 4.0 factory is a
   strategic and long-term undertaking which needs a high capital
   investment, training of personnel and change of the environment and the
   culture in almost all of the functions of the value chain. Thus, it is
   required to be planned well by the companies. To be successful in the
   Industry 4.0 era, companies will not only have to simultaneously execute
   interdependent projects, but also require to perform project portfolio
   selection task in multi-dimensional environments in the presence of high
   uncertainty. Since determining optimal project portfolio for digital
   transformation among various project alternatives demands the
   consideration of multiple constraints and interdependencies, an integer
   programming model is proposed to address this problem in this chapter.
   To demonstrate its effectiveness and practicality, the proposed
   optimization model is applied to the Industry 4.0 project alternatives
   of an automotive manufacturer.}},
Publisher = {{SPRINGER-VERLAG LONDON LTD}},
Address = {{SWEETAPPLE HOUSE CATTESHALL RD FARNCOMBE, GODALMING GU7 1NH, SURREY,
   ENGLAND}},
Type = {{Article; Book Chapter}},
Language = {{English}},
Affiliation = {{Isikli, E (Reprint Author), Istanbul Tech Univ, Fac Management, Dept Ind Engn, TR-34367 Istanbul, Turkey.
   Isikli, Erkan; Yanik, Seda; Cevikcan, Emre; Ustundag, Alp, Istanbul Tech Univ, Fac Management, Dept Ind Engn, TR-34367 Istanbul, Turkey.}},
DOI = {{10.1007/978-3-319-57870-5\_6}},
ISSN = {{1860-5168}},
ISBN = {{978-3-319-57870-5; 978-3-319-57869-9}},
Keywords-Plus = {{RISK-MANAGEMENT; PERFORMANCE; INNOVATION; PERSPECTIVE; SUCCESS}},
Research-Areas = {{Engineering}},
Web-of-Science-Categories  = {{Engineering, Manufacturing}},
Author-Email = {{isiklie@itu.edu.tr
   sedayanik@itu.edu.tr
   cevikcan@itu.edu.tr
   ustundaga@itu.edu.tr}},
ResearcherID-Numbers = {{Ustundag, Alp/L-9108-2018}},
ORCID-Numbers = {{Ustundag, Alp/0000-0003-2151-4759}},
Cited-References = {{Ahmad M, 2016, J SUPERCOMPUT, V72, P3677, DOI 10.1007/s11227-016-1634-x.
   Beringer C, 2012, PROJ MANAG J, V43, P16, DOI 10.1002/pmj.21307.
   Bert De Reyck, 2005, International Journal of Project Management, V23, P524, DOI 10.1016/j.ijproman.2005.02.003.
   Bouri A, 2002, J MULTICRITERIA DECI, V11, P269, DOI DOI 10.1002/MCDA.334.
   Brito RP, 2017, INT T OPERATIONAL RE, DOI 10.1111/itor.12404.
   Brook JW, 2014, J ENG TECHNOL MANAGE, V34, P46, DOI 10.1016/j.jengtecman.2013.11.004.
   Browning TR, 2016, DECISION SCI, V47, P333, DOI 10.1111/deci.12172.
   Costantino F, 2015, INT J PROJ MANAG, V33, P1744, DOI 10.1016/j.ijproman.2015.07.003.
   Drechsler A, 2010, LECT NOTES BUS INF, V69, P127.
   ELHANNACH D, 2016, 4 IEEE INT C INF SCI, P228.
   Ellery T, 2012, PHARM LIFECYCLE MANA.
   Gleadle P, 2012, NEW TECH WORK EMPLOY, V27, P163, DOI 10.1111/j.1468-005X.2012.00286.x.
   Jeffery M, 2004, MIT SLOAN MANAGE REV, V45, P41.
   Kaiser MG, 2015, INT J PROJ MANAG, V33, P126, DOI 10.1016/j.ijproman.2014.03.002.
   Koh A, 2012, PROJ MANAG J, V43, P33, DOI 10.1002/pmj.21300.
   Korhonen T, 2016, PROJ MANAG J, V47, P130, DOI 10.1002/pmj.21586.
   LEONG SM, 1991, DECISION SCI, V22, P181, DOI 10.1111/j.1540-5915.1991.tb01270.x.
   Lin CH, 2005, DECISION SCI, V36, P489, DOI 10.1111/j.1540-5414.2005.00081.x.
   Markowitz H, 1952, J FINANC, V7, P77, DOI 10.1111/j.1540-6261.1952.tb01525.x.
   Martinsuo M, 2014, PROJ MANAG J, V45, P56, DOI 10.1002/pmj.21452.
   Morris PWG, 2011, PROJ MANAG J, V42, P20, DOI 10.1002/pmj.20271.
   Muller R, 2008, PROJ MANAG J, V39, P28, DOI 10.1002/pmj.20053.
   Pajares J, 2014, PROCD SOC BEHV, V119, P645, DOI 10.1016/j.sbspro.2014.03.072.
   Paquin JP, 2015, PROJ MANAG J, V46, P94, DOI 10.1002/pmj.21526.
   Petit Y, 2010, PROJ MANAG J, V41, P46, DOI 10.1002/pmj.20201.
   Pinto JK, 2016, PROJECT MANAGEMENT A.
   Rajapakse A, 2006, J CHEM TECHNOL BIOT, V81, P1705, DOI 10.1002/jctb.1595.
   Rosacker KM, 2008, PROJ MANAG J, V39, P49, DOI 10.1002/pmj.20036.
   Sanchez H, 2010, PROJ MANAG J, V41, P64, DOI 10.1002/pmj.20165.
   Sanchez H, 2008, PROJ MANAG J, V39, P97, DOI 10.1002/pmj.20072.
   Sicotte H, 2014, PROJ MANAG J, V45, P58, DOI 10.1002/pmj.21456.
   Siew RYJ, 2016, KSCE J CIV ENG, V20, P101, DOI 10.1007/s12205-015-0520-z.
   Smith P, 2012, SYSTEMS ENG, V15, P461, DOI 10.1002/sys.21212.
   Teller J, 2014, PROJ MANAG J, V45, P67, DOI 10.1002/pmj.21431.
   Teller J, 2013, PROJ MANAG J, V44, P36, DOI 10.1002/pmj.21327.
   ter Mors M, 2010, LECT NOTES BUS INF P, V69, P107.
   Vaughan P, 2011, CHIEF INFORM OFFICER, P123, DOI DOI 10.1002/9781118269114.CH12.
   Yang Y, 2017, EXPERT SYST E J, V34, DOI 10.1111/exsy.12190.}},
Number-of-Cited-References = {{38}},
Times-Cited = {{0}},
Usage-Count-Last-180-days = {{1}},
Usage-Count-Since-2013 = {{1}},
Doc-Delivery-Number = {{BK0FS}},
Unique-ID = {{ISI:000430506900007}},
DA = {{2018-07-05}},
}

@incollection{ ISI:000430506900016,
Author = {Budak, Aysenur and Ustundag, Alp and Kilinc, Mehmet Serdar and Cevikcan,
   Emre},
Book-Author = {{Ustundag, A
   Cevikcan, E}},
Title = {{Digital Traceability Through Production Value Chain}},
Booktitle = {{INDUSTRY 4.0: MANAGING THE DIGITAL TRANSFORMATION}},
Series = {{Springer Series in Advanced Manufacturing}},
Year = {{2018}},
Pages = {{251-265}},
Abstract = {{The value of Digital Traceability technologies are critical for the
   production systems, due to the high levels of complicated manufacturing
   processes and logistics operations. In this chapter, digital
   traceability technologies are discussed to analyze manufacturing
   processes, such as: tracking work-in-progress, tracking inventories,
   counting stock, receiving, picking, and shipping of semi finished
   products. To do this, an architectural framework of the technologies in
   production industry was designed. A roadmap for digital traceability
   design, configuration and deployment is presented in order to design an
   integrated approach as pointed out in the literature and in former
   projects. It can be clearly pointed out that, by using digital
   traceability technologies in production value chain, redundant inventory
   and production costs, redundant labour costs caused by inefficient
   production activities, inaccuracies of records, incorrect order
   deliveries and penalty costs incurred by customers could be
   significantly reduced, which provides invaluable advantages in the real
   life competition of the productions systems.}},
Publisher = {{SPRINGER-VERLAG LONDON LTD}},
Address = {{SWEETAPPLE HOUSE CATTESHALL RD FARNCOMBE, GODALMING GU7 1NH, SURREY,
   ENGLAND}},
Type = {{Article; Book Chapter}},
Language = {{English}},
Affiliation = {{Budak, A (Reprint Author), Istanbul Tech Univ, Fac Management, Dept Ind Engn, Istanbul, Turkey.
   Budak, Aysenur; Ustundag, Alp; Cevikcan, Emre, Istanbul Tech Univ, Fac Management, Dept Ind Engn, Istanbul, Turkey.
   Kilinc, Mehmet Serdar, Oregon State Univ, Dept Ind Engn, Corvallis, OR 97331 USA.}},
DOI = {{10.1007/978-3-319-57870-5\_15}},
ISSN = {{1860-5168}},
ISBN = {{978-3-319-57870-5; 978-3-319-57869-9}},
Keywords-Plus = {{RFID TECHNOLOGY; MANAGEMENT-SYSTEM; SUPPLY CHAIN; INDUSTRY 4.0}},
Research-Areas = {{Engineering}},
Web-of-Science-Categories  = {{Engineering, Manufacturing}},
Author-Email = {{abudak@itu.edu.tr
   ustundaga@itu.edu.tr
   cevikcan@itu.edu.tr}},
ResearcherID-Numbers = {{Ustundag, Alp/L-9108-2018}},
ORCID-Numbers = {{Ustundag, Alp/0000-0003-2151-4759}},
Cited-References = {{Adeyeri MK, 2015, IND ENG OP MAN IEOM, P1.
   Amaral LA, 2011, P IEEE 5 INT C RAD F.
   Azevedo SG.S, 2014, ADV INTELL SYST COMP, P45.
   Badpa A, 2013, EFFECTS KNOWLEDGE MA.
   Budak A, 2015, APPL SOFT COMPUT, V36, P177, DOI 10.1016/j.asoc.2015.05.057.
   Chen JC, 2013, INT J ADV MANUF TECH, V69, P531, DOI 10.1007/s00170-013-5016-8.
   Dwivedi AK, 2011, RECENT ADV WIRELESS, P299.
   Emmet HL, 2004, P EUSPRIG C RISK RED.
   Gandino F, 2007, PROCEEDINGS OF THE 1ST RFID EURASIA CONFERENCE, P143.
   Guo ZX, 2015, INT J PROD ECON, V159, P16, DOI 10.1016/j.ijpe.2014.09.004.
   Hinkka V, 2013, AALTO U PUBLICATION.
   Johnson ME, 2008, LOGISTICS ENG HDB.
   Kim M, 2012, PROG ELECTROMAGN RES, V131, P1.
   Lee CKH, 2013, EXPERT SYST APPL, V40, P784, DOI 10.1016/j.eswa.2012.08.033.
   Lim MK, 2013, INT J PROD ECON, V145, P409, DOI 10.1016/j.ijpe.2013.05.006.
   Liu JH, 2010, J TEXT I, V101, P925, DOI 10.1080/00405000903028299.
   Ngai EWT, 2008, INT J PROD ECON, V112, P630, DOI 10.1016/j.ijpe.2007.05.011.
   Ngai EWT, 2008, INT J PROD ECON, V112, P510, DOI 10.1016/j.ijpe.2007.05.004.
   Ngai EWT, 2012, J ENG TECHNOL MANAGE, V29, P112, DOI 10.1016/j.jengtecman.2011.09.009.
   Oses N, 2016, INT J INTERACT DES M, P1.
   Paelke V, 2014, P 2014 IEEE EM TECHN, P1.
   POON TC, 2009, RFID CASEBASED LOGIS, V36, P8277, DOI DOI 10.1016/J.ESWA.2008.10.011.
   Poslad S, 2009, ENV INTERACTIONS.
   Ramanathan M., 2016, INT J ADV MANUF TECH, P1.
   Rekik Y, 2006, INT J PROD EC.
   Ren Z, 2011, ADV ENG INFORM, V25, P198, DOI 10.1016/j.aei.2010.02.002.
   Roblek V, 2016, SAGE OPEN, V6, DOI 10.1177/2158244016653987.
   Ruiz Garcia L, 2010, SUSTAINABLE RADIO FR.
   Sanders A, 2016, J IND ENG MANAGE, V9.
   Scheuermann C, 2015, 2015 IEEE 3RD INTERNATIONAL CONFERENCE ON CYBER-PHYSICAL SYSTEMS, NETWORKS, AND APPLICATIONS CPSNA 2015, P43, DOI 10.1109/CPSNA.2015.17.
   Shafiq SI, 2015, CYBERNET SYST, V46, P35, DOI 10.1080/01969722.2015.1007734.
   Shamsuzzoha AHM, 2013, INT J SHIP TRANS LOG, V5, P31, DOI 10.1504/IJSTL.2013.050587.
   SHARMA D, 2013, INT J ELECT COMMUN T, V4, P93.
   Shin S, 2015, INT J PROD ECON, V163, P89, DOI 10.1016/j.ijpe.2015.02.016.
   Tan TH, 2010, EXPERT SYST APPL, V37, P6482, DOI 10.1016/j.eswa.2010.02.137.
   Thames L, 2016, PROC CIRP, V52, P12, DOI 10.1016/j.procir.2016.07.041.
   Training OTA, 2006, RFID EXAM CRAM SYSTE.
   Ustundag A, 2009, TRANSPORT RES E-LOG, V45, P29, DOI 10.1016/j.tre.2008.09.001.
   Velandia DMS, 2016, ROBOT CIM-INT MANUF, V41, P66, DOI 10.1016/j.rcim.2016.02.004.
   Wang B, 2016, T EC MANAG ICEM.
   Wang JH, 2010, INT J ADV MANUF TECH, V46, P351, DOI 10.1007/s00170-009-2102-z.
   Wang YY, 2007, 2007 IEEE INTERNATIONAL CONFERENCE ON AUTOMATION AND LOGISTICS, VOLS 1-6, P2927, DOI 10.1109/ICAL.2007.4339082.
   Zadeh AH, 2016, INT J ADV MANUF TECH, V83, P623, DOI 10.1007/s00170-015-7433-3.
   Zhu XW, 2012, J ENG TECHNOL MANAGE, V29, P152, DOI 10.1016/j.jengtecman.2011.09.011.}},
Number-of-Cited-References = {{44}},
Times-Cited = {{0}},
Usage-Count-Last-180-days = {{2}},
Usage-Count-Since-2013 = {{2}},
Doc-Delivery-Number = {{BK0FS}},
Unique-ID = {{ISI:000430506900016}},
DA = {{2018-07-05}},
}

@article{ ISI:000432405700005,
Author = {Wilkesmann, Maximiliane and Wilkesmann, Uwe},
Title = {{Industry 4.0-organizing routines or innovations?}},
Journal = {{VINE JOURNAL OF INFORMATION AND KNOWLEDGE MANAGEMENT SYSTEMS}},
Year = {{2018}},
Volume = {{48}},
Number = {{2}},
Pages = {{238-254}},
Abstract = {{Purpose - The rise of new information and communication technologies
   forms the cornerstone for the future development of work. The term
   Industry 4.0 refers to the vision of a fourth industrial revolution that
   is based on a network of autonomous, self-controlling, self-configuring,
   knowledge-based, sensor-based and spatially distributed production
   resources. All in all, different forms of the application of the
   Industry 4.0 concept can be observed, ranging from autonomous logistic
   transport systems drawn upon the idea of swarm intelligence to smart
   knowledge management systems. This paper aims to develop a theoretical
   framework to analyze different applications of Industry 4.0 on an
   organizing continuum. The general research questions are: What forms of
   organizing digitalized work lead to the reproduction of routines, and
   what forms foster innovation within Industry 4.0? The authors thus
   analyze the consequences of different forms of organizing work on
   workers' perceptions and the results of the working process.
   Design/methodology/approach - This paper provides case studies for
   different stages of the organizing continuum in the context of Industry
   4.0. The cases and a further analysis of all 295 funded projects are
   based on the Platform Industry 4.0 Map, which is part of the Industry
   4.0 initiative of the German Federal Ministry of Economic Affairs and
   Energy and the German Federal Ministry of Education and Research. The
   consequences for people acting in such organizational and digitally
   supported structures are discussed.
   Findings - A variety of applications of Industry 4.0 can be found. These
   applications mainly vary in the dimensions of the degree of
   formalization, the location of control authority, the location of
   knowledge and the degree of professionalization. At the right side of
   the organizing continuum, the digitalization organizes a work
   environment that supports highly qualified humans. They have broad
   leeway and a high degree of autonomy to design and create innovative
   forms of digitalization for tomorrow. At the left side of the organizing
   continuum, Industry 4.0 structures a work environment with narrow
   leeway, a low degree of autonomy and a top-down structure of control
   authority predetermined by digital applications. In this case, employees
   fill the gaps the machines cannot handle.
   Research limitations/implications - As the paper focuses on Industry 4.0
   developments in Germany, the comparability with regard to other
   countries is limited. Moreover, the methodological approach is
   explorative, and broader quantitative verification is required.
   Specifically, future research could include quantitative methods to
   investigate the employees' perspective on Industry 4.0. A comparison of
   Industry 4.0 applications in different countries would be another
   interesting option for further research.
   Practical implications - This paper shows that applications of Industry
   4.0 are currently at a very early stage of development and momentarily
   organize more routines than innovations. From a practical point of view,
   professional vocational and academic training will be a key factor for
   the successful implementation of digitalization in future. A joint
   venture of industry and educational institutions could be a suitable way
   to meet the growing demand for qualified employees from the middle to
   the right-hand of the organizing continuum in the context of Industry
   4.0.
   Social implications - Industry 4.0 is designed by men, and therefore,
   humans are responsible for whether the future work situation will be
   perceived as supportive or as an alienated routine. Therefore, designers
   of Industry 4.0, as well as politicians and scientists, absolutely must
   take the underlying outcomes of digitalized work into account and must
   jointly find socially acceptable solutions.
   Originality/value - This paper provides a promising avenue for future
   research on Industry 4.0 by analyzing the underlying organizational
   structures of digital systems and their consequences for employees.
   Moreover, the paper shows how Industry 4.0 should be organized to simply
   reproduce routines or to support innovation.}},
Publisher = {{EMERALD GROUP PUBLISHING LTD}},
Address = {{HOWARD HOUSE, WAGON LANE, BINGLEY BD16 1WA, W YORKSHIRE, ENGLAND}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Wilkesmann, M (Reprint Author), TU Dortmund Univ, Fac Business \& Econ, Dortmund, Germany.
   Wilkesmann, Maximiliane, TU Dortmund Univ, Fac Business \& Econ, Dortmund, Germany.
   Wilkesmann, Uwe, TU Dortmund Univ, Ctr Higher Educ, Dortmund, Germany.}},
DOI = {{10.1108/VJIKMS-04-2017-0019}},
ISSN = {{2059-5891}},
EISSN = {{1474-1032}},
Keywords = {{Digitization; Digitalization; Knowledge management; Industry 4.0;
   Digital Taylorism}},
Keywords-Plus = {{BOUNDARY ORGANIZATIONS; KNOWLEDGE; PERSPECTIVE; COMMITMENT}},
Research-Areas = {{Information Science \& Library Science}},
Web-of-Science-Categories  = {{Information Science \& Library Science}},
Author-Email = {{maximiliane.wilkesmann@tu-dortmund.de}},
Cited-References = {{Adler P.S., 2006, FIRM COLLABORATIVE C, P94.
   AWF (Ausschuss Fur Wirtschaftliche Fertigung), 1985, CIM INT EDV EINS PRO.
   Baheti R., 2011, IMPACT CONTROL TECHN, V12, P161.
   Brynjolfsson E, 2014, 2 MACHINE AGE WORK P.
   Burns T., 1961, MANAGEMENT INNOVATIO.
   Coleman J. S, 1990, FDN SOCIAL THEORY.
   DAMANPOUR F, 1991, ACAD MANAGE J, V34, P555, DOI 10.2307/256406.
   Dawid H, 2017, CENT EUR J OPER RES, V25, P203, DOI 10.1007/s10100-016-0436-9.
   EISENHARDT KM, 1989, ACAD MANAGE REV, V14, P57, DOI 10.5465/AMR.1989.4279003.
   Frey Carl Benedikt, 2013, FUTURE EMPLOYMENT SU.
   Gausemeier J., 2016, IND 4 0 INT BENCHMAR.
   German Federal Ministry of Economics and Energy (Bundesministerium Fur Wirtschaft Und Energie), 2015, MEM PLATTF IND 4 0.
   Hermann M., 2016, 49 HAW INT C SYST SC.
   Hirschman A.O., 1970, EXIT VOICE LOYALTY R.
   Kagermann H., 2013, SECURING FUTURE GERM.
   Kamagaew A., 2011, P 5 INT C AUT ROB AP.
   Kelley R.E., 1985, GOLD COLLAR WORKER H.
   Kinnie N, 2012, HUM RESOUR MANAG J, V22, P21, DOI 10.1111/j.1748-8583.2011.00172.x.
   Lam A., 2005, OXFORD HDB INNOVATIO, P115.
   Lasi H., 2014, WIRTSCHAFTSINF, V56, P261.
   Lau A, 2009, KNOWL-BASED SYST, V22, P324, DOI 10.1016/j.knosys.2009.02.014.
   LAWRENCE PR, 1967, ADMIN SCI QUART, V12, P1, DOI 10.2307/2391211.
   Li B., 2016, INT J ORG INNOVATION, V9, P71.
   Lucke D, 2008, MANUFACTURING SYSTEMS AND TECHNOLOGIES FOR THE NEW FRONTIER, P115, DOI 10.1007/978-1-84800-267-8\_23.
   Magruk A., 2016, BUSINESS MANAGEMENT, V14, P275.
   March JG, 1991, ORGAN SCI, V2, P71, DOI 10.1287/orsc.2.1.71.
   Marx K., 1981, ERGANZUNGSBAND SCHRR, P467.
   MEYER JW, 1977, AM J SOCIOL, V83, P340, DOI 10.1086/226550.
   Mintzberg H., 1979, STRUCTURING ORG SYNT.
   O'Mahony S, 2008, ADMIN SCI QUART, V53, P422, DOI 10.2189/asqu.53.3.422.
   Offe C., 1980, POLITICAL POWER SOCI, V1, P67.
   OUCHI WG, 1975, ADMIN SCI QUART, V20, P559, DOI 10.2307/2392023.
   Pierce J. L., 1977, ACAD MANAGE REV, V2, P27.
   Roblek V, 2016, SAGE OPEN, V6, DOI 10.1177/2158244016653987.
   Ryan RM, 2006, J PERS, V74, P1557, DOI 10.1111/j.1467-6494.2006.00420.x.
   Ryan RM, 2000, CONTEMP EDUC PSYCHOL, V25, P54, DOI 10.1006/ceps.1999.1020.
   Sendler U., 2013, IND 4 0 BEHERRSCHUNG.
   Swart J, 2014, HUM RESOUR MANAG J, V24, P269, DOI 10.1111/1748-8583.12037.
   Taylor F.W., 2006, PRINCIPLES SCI MANAG.
   Tilson D, 2010, INFORM SYST RES, V21, P748, DOI 10.1287/isre.1100.0318.
   Tsui E., 2005, J KNOWLEDGE MANAGEME, V1, P3.
   Vermesan O., 2009, INT THINGS STRAT RES.
   Wenger E, 1998, COMMUNITIES PRACTICE.
   Wilkesmann Maximiliane, 2011, VINE, V41, P96, DOI 10.1108/03055721111134763.
   Wilkesmann U., 2015, INCENTIVES PERFORMAN, P189.
   Wilkesmann U., 2009, ORGAN STUD, V30, P1114.
   Wilkesmann U, 2014, EVID-BASED HRM, V2, P6, DOI 10.1108/EBHRM-07-2013-0022.
   Xu XF, 2015, COMPUTER, V48, P80, DOI 10.1109/MC.2015.182.
   Yin R.K., 2014, CASE STUDY RES DESIG.
   Zhang X., 2016, J APPL BUSINESS EC, V18, P97.
   Zhang Z., 2014, TEH VJESN, V21, P3.}},
Number-of-Cited-References = {{51}},
Times-Cited = {{0}},
Usage-Count-Last-180-days = {{7}},
Usage-Count-Since-2013 = {{7}},
Journal-ISO = {{VINE J. Knowl. Manag. Syst.}},
Doc-Delivery-Number = {{GG0YE}},
Unique-ID = {{ISI:000432405700005}},
DA = {{2018-07-05}},
}

@article{ ISI:000432859400009,
Author = {Lugert, Andreas and Batz, Aglaya and Winkler, Herwig},
Title = {{Empirical assessment of the future adequacy of value stream mapping in
   manufacturing industries}},
Journal = {{JOURNAL OF MANUFACTURING TECHNOLOGY MANAGEMENT}},
Year = {{2018}},
Volume = {{29}},
Number = {{5}},
Pages = {{886-906}},
Abstract = {{Purpose Value stream mapping (VSM) is very common in the manufacturing
   industry to enhance transparency and support improvements within the
   production process. The purpose of this paper is to evaluate the current
   status of the method from the user's point of view and addresses its
   future sustainability in the context of the ongoing digitalization.
   Design/methodology/approach An empirical survey with 170 participants
   from different branches was conducted. The web-based questionnaire
   covers the topics Lean Management, respectively, VSM, Industry 4.0, the
   integration of both approaches as well as a possible need for action to
   modify the VSM. Results are analyzed in a quantitative way.
   Findings Benefits and shortcomings of VSM are already confirmed by
   previous publications. The serious challenge is the lack of flexibility
   of the method. In general users appreciate a combination of Lean methods
   and solutions of Industry 4.0. Moreover 92 percent of the participating
   experts request further development of the VSM using digitalization to
   compensate weaknesses.
   Research limitations/implications The findings are based only on Lean
   expert's opinion. Over 95 percent of the participants are from Europe
   however most of them are from Germany. Although the results are adequate
   an international expansion of the survey would be advisable in order to
   distinguish local differences and similarities. In future work
   researchers need to further develop VSM to overcome the identified gaps.
   Practical implications Results of the study indicate the viewpoint of
   experts within different branches. This enables users to undertake a
   self-assessment regarding their own VSM-estimation.
   Originality/value This paper provides a current evaluation of the VSM
   from an exploratory perspective. The impact of global trends and new
   opportunities facilitated by digitalization are considered. Shortcomings
   and fields of actions become clear. Based on that necessity further
   research activities can be designed.}},
Publisher = {{EMERALD GROUP PUBLISHING LTD}},
Address = {{HOWARD HOUSE, WAGON LANE, BINGLEY BD16 1WA, W YORKSHIRE, ENGLAND}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Lugert, A (Reprint Author), Brandenburg Univ Technol Cottbus Senftenberg, Prod \& Operat Management, Cottbus, Germany.
   Lugert, Andreas; Winkler, Herwig, Brandenburg Univ Technol Cottbus Senftenberg, Prod \& Operat Management, Cottbus, Germany.
   Batz, Aglaya, Brandenburg Univ Technol Cottbus Senftenberg, Cottbus, Germany.}},
DOI = {{10.1108/JMTM-11-2017-0236}},
ISSN = {{1741-038X}},
EISSN = {{1758-7786}},
Keywords = {{Manufacturing industry; Lean manufacturing; Production systems; Industry
   4.0}},
Keywords-Plus = {{COMPLEX PRODUCTION ENVIRONMENTS; SUPPLY CHAIN; PRODUCTION SYSTEMS; LEAN
   TOOLS; SIMULATION; PERFORMANCE; FLEXIBILITY; TIME; IMPROVEMENT;
   CHALLENGES}},
Research-Areas = {{Engineering; Business \& Economics}},
Web-of-Science-Categories  = {{Engineering, Industrial; Engineering, Manufacturing; Management}},
Author-Email = {{Andreas.Lugert@b-tu.de}},
Cited-References = {{Abdulmalek FA, 2007, INT J PROD ECON, V107, P223, DOI 10.1016/j.ijpe.2006.09.009.
   Adolph S, 2014, J INT SCI PUBLICATIO, V12, P1001.
   Ali R, 2016, J MANUF TECHNOL MANA, V27, P614, DOI 10.1108/JMTM-08-2015-0064.
   Andrade PF, 2016, INT J ADV MANUF TECH, V85, P547, DOI 10.1007/s00170-015-7972-7.
   Garza-Reyes J, 2012, J MANUF TECHNOL MANA, V23, P178, DOI 10.1108/17410381211202188.
   Atieh AM, 2016, INT J ADV MANUF TECH, V84, P1573, DOI 10.1007/s00170-015-7805-8.
   Belekoukias I, 2014, INT J PROD RES, V52, P5346, DOI 10.1080/00207543.2014.903348.
   Bennett D, 2014, J MANUF TECHNOL MANA, V25, P2, DOI 10.1108/JMTM-10-2013-0153.
   Berndt R, 2016, ERCIM NEWS, P26.
   Bertolini M, 2013, INT J PROD RES, V51, P5499, DOI 10.1080/00207543.2013.784415.
   Bhasin S, 2012, J MANUF SYST, V31, P349, DOI 10.1016/j.jmsy.2012.04.002.
   Bi ZM, 2014, IEEE T IND INFORM, V10, P1537, DOI 10.1109/TII.2014.2300338.
   Bin Ali N, 2015, INFORM SOFTWARE TECH, V68, P45, DOI 10.1016/j.infsof.2015.08.005.
   Braglia M, 2006, INT J PROD RES, V44, P3929, DOI 10.1080/00207540600690545.
   Braglia M, 2009, INT J LOGIST-RES APP, V12, P435, DOI 10.1080/13675560802601559.
   Chen JC, 2010, INT J PROD RES, V48, P1069, DOI 10.1080/00207540802484911.
   Christopher M, 2000, IND MARKET MANAG, V29, P37, DOI 10.1016/S0019-8501(99)00110-8.
   Ciarapica FE, 2016, INT J PRODUCT PERFOR, V65, P177, DOI 10.1108/IJPPM-06-2014-0087.
   Dal Forno AJ, 2014, INT J ADV MANUF TECH, V72, P779, DOI 10.1007/s00170-014-5712-z.
   Denzin N. K., 2013, COLLECTING INTERPRET.
   Dogan NO, 2016, TOTAL QUAL MANAG BUS, V27, P64, DOI 10.1080/14783363.2014.945312.
   Efthymiou K, 2016, INT J COMPUT INTEG M, V29, P1025, DOI 10.1080/0951192X.2015.1130245.
   ElMaraghy H.A., 2014, ENABLING MANUFACTURI, P1.
   Erlach K., 2013, VALUE STREAM DESIGN.
   Esposito M, 2018, THUNDERBIRD INT BUS, V60, P121, DOI 10.1002/tie.21889.
   Fink A., 2013, CONDUCTING RES LIT R.
   Ghosh M, 2012, J MANUF TECHNOL MANA, V24, P113, DOI 10.1108/17410381311287517.
   Gjeldum N, 2011, TEH VJESN, V18, P341.
   Grewal Chandandeep, 2008, International Journal of Manufacturing Technology and Management, V15, P404.
   Gurumurthy A, 2011, J MANUF TECHNOL MANA, V22, P444, DOI 10.1108/17410381111126409.
   Helleno AL, 2015, INT J ADV MANUF TECH, V80, P1059, DOI 10.1007/s00170-015-7087-1.
   Hines P, 1997, INT J OPER PROD MAN, V17, P46, DOI 10.1108/01443579710157989.
   Inman RR, 2014, INT J PROD RES, V52, P1956, DOI 10.1080/00207543.2013.787495.
   Jansen H., 2010, FORUM QUALITATIVE SO, V11.
   Jazdi N., 2014, 2014 IEEE INT C AUT, P1, DOI {[}DOI 10.1109/AQTR.2014.6857843, 10.1109/AQTR.2014.6857843].
   Kagermann H, 2015, MANAGEMENT PERMANENT, P23, DOI DOI 10.1007/978-3-658-05014-6\_2.
   Kolberg D, 2017, INT J PROD RES, V55, P2845, DOI 10.1080/00207543.2016.1223384.
   Kolberg D, 2015, IFAC PAPERSONLINE, V48, P1870, DOI 10.1016/j.ifacol.2015.06.359.
   Kuiper A, 2016, QUAL ENG, V28, P155, DOI 10.1080/08982112.2015.1089445.
   Lacerda AP, 2016, INT J PROD RES, V54, P1708, DOI 10.1080/00207543.2015.1055349.
   Lee J, 2014, PROC CIRP, V16, P3, DOI 10.1016/j.procir.2014.02.001.
   Lian YH, 2007, INT J PROD RES, V45, P3037, DOI 10.1080/00207540600791590.
   Ma J, 2017, SENSORS-BASEL, V17, DOI 10.3390/s17071500.
   Mahmood A, 2013, IEEE SYST J, V7, P537, DOI 10.1109/JSYST.2013.2244801.
   Martins G.H., 2016, BRAZILIAN J OPERATIO, V13, P360.
   Matt DT, 2014, J MANUF TECHNOL MANA, V25, P334, DOI 10.1108/JMTM-05-2012-0054.
   Mishra R, 2016, J MANUF TECHNOL MANA, V27, P730, DOI 10.1108/JMTM-11-2015-0105.
   Monostori L, 2014, PROC CIRP, V17, P9, DOI 10.1016/j.procir.2014.03.115.
   Naisbitt J., 1990, MEGATRENDS 2000 10 N.
   Nallusamy S, 2016, INT J ENG RES AFR, V21, P231, DOI 10.4028/www.scientific.net/JERA.21.231.
   Netland T.H., 2015, LEAN MANAGEMENT J, P22.
   Nicoletti B, 2015, TECHNOL INNOV MANAG, P29.
   Parthanadee P, 2014, PROD PLAN CONTROL, V25, P425, DOI 10.1080/09537287.2012.702866.
   Pavnaskar SJ, 2003, INT J PROD RES, V41, P3075, DOI 10.1080/0020754021000049817.
   Ramadan Muawia, 2012, 2012 IEEE International Conference on Service Operations and Logistics and Informatics, P117.
   Rekha RS, 2016, INT J ENG RES AFR, V27, P179, DOI 10.4028/www.scientific.net/JERA.27.179.
   Retief F, 2016, ENVIRON IMPACT ASSES, V61, P52, DOI 10.1016/j.eiar.2016.07.002.
   Rother M., 1999, LEARNING SEE.
   Ruttimann BG, 2016, J SERV SCI MANAG, V9, DOI DOI 10.4236/jssm.2016.96051.
   Sampalli T, 2015, INT J HEALTH POLICY, V4, P459, DOI 10.15171/ijhpm.2015.76.
   Sanders A, 2016, J IND ENG MANAG-JIEM, V9, P811, DOI 10.3926/jiem.1940.
   Schmidtke D, 2014, INT J PROD RES, V52, P6146, DOI 10.1080/00207543.2014.917770.
   Seebacher G, 2014, INT J PROD ECON, V153, P340, DOI 10.1016/j.ijpe.2014.03.018.
   Serrano I, 2008, INT J PROD RES, V46, P4409, DOI 10.1080/00207540601182302.
   Lasa IS, 2008, BUS PROCESS MANAG J, V14, P39, DOI 10.1108/14637150810849391.
   Lasa I, 2009, PROD PLAN CONTROL, V20, P82, DOI 10.1080/09537280802685322.
   Seth D, 2017, PROD PLAN CONTROL, V28, P398, DOI 10.1080/09537287.2017.1300352.
   Seth D, 2008, J MANUF TECHNOL MANA, V19, P529, DOI 10.1108/17410380810869950.
   Shah R, 2003, J OPER MANAG, V21, P129, DOI 10.1016/S0272-6963(02)00108-0.
   Shou WC, 2017, INT J PROD RES, V55, P3906, DOI 10.1080/00207543.2017.1311031.
   Sihn W, 2013, CIRP ANN-MANUF TECHN, V62, P427, DOI 10.1016/j.cirp.2013.03.042.
   Singh B, 2009, MEAS BUS EXCELL, V13, P58, DOI 10.1108/13683040910984338.
   Singh B, 2011, INT J ADV MANUF TECH, V53, P799, DOI 10.1007/s00170-010-2860-7.
   Solding Petter, 2009, Proceedings of the 2009 Winter Simulation Conference (WSC 2009), P2231, DOI 10.1109/WSC.2009.5429185.
   Tapping D., 2003, VALUE STREAM MANAGEM.
   Taylor DH, 2009, INT J LOGIST-RES APP, V12, P45, DOI 10.1080/13675560802141812.
   Toivonen T, 2016, PROC CIRP, V39, P9, DOI 10.1016/j.procir.2016.01.035.
   Tyagi S, 2015, INT J ADV MANUF TECH, V81, P1259, DOI 10.1007/s00170-015-7301-1.
   Tyagi S, 2015, INT J PROD ECON, V160, P202, DOI 10.1016/j.ijpe.2014.11.002.
   Um J, 2017, INT J LOGIST MANAG, V28, P464, DOI 10.1108/IJLM-07-2015-0113.
   Veza I, 2016, TEH VJESN, V23, P1317, DOI 10.17559/TV-20160202120909.
   Vinodh S, 2015, J ENG DES TECHNOL, V13, P380, DOI 10.1108/JEDT-08-2010-0054.
   Vinodh S, 2010, J MANUF TECHNOL MANA, V21, P888, DOI 10.1108/17410381011077973.
   Westkamper E., 2014, REINDUSTRIALIZATION, P17.
   Womack J.P., 2003, LEAN THINKING BANISH.
   Woodside A.G., 2016, BAD GOOD ACHIEVING H, P1.
   Xie YK, 2012, BUS PROCESS MANAG J, V18, P585, DOI 10.1108/14637151211253747.
   Yildiz EZ, 2013, TEKST KONFEKSIYON, V23, P393.
   Yin R. K., 2014, CASE STUDY RES.
   Yu HT, 2009, J CONSTR ENG M ASCE, V135, P782, DOI 10.1061/(ASCE)0733-9364(2009)135:8(782).
   Yu KK, 2015, INT J PROD ECON, V169, P190, DOI 10.1016/j.ijpe.2015.07.035.}},
Number-of-Cited-References = {{91}},
Times-Cited = {{0}},
Usage-Count-Last-180-days = {{2}},
Usage-Count-Since-2013 = {{2}},
Journal-ISO = {{J. Manuf. Technol. Manag.}},
Doc-Delivery-Number = {{GG7DT}},
Unique-ID = {{ISI:000432859400009}},
DA = {{2018-07-05}},
}

@article{ ISI:000433972400013,
Author = {Buer, Sven-Vegard and Strandhagen, Jan Ola and Chan, Felix T. S.},
Title = {{The link between Industry 4.0 and lean manufacturing: mapping current
   research and establishing a research agenda}},
Journal = {{INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH}},
Year = {{2018}},
Volume = {{56}},
Number = {{8}},
Pages = {{2924-2940}},
Abstract = {{In recent years, Industry 4.0 has emerged as one of the most discussed
   concepts and has gained significant popularity in both academia and the
   industrial sector. Both Industry 4.0 and lean manufacturing utilise
   decentralised control and aim to increase productivity and flexibility.
   However, there have been few studies investigating the link between
   these two domains. This article explores this novel area and maps the
   current literature. This is achieved through a systematic literature
   review methodology, investigating literature published up to and
   including August 2017. This article identifies four main research
   streams concerning the link between Industry 4.0 and lean manufacturing,
   and a research agenda for future studies is proposed.}},
Publisher = {{TAYLOR \& FRANCIS LTD}},
Address = {{2-4 PARK SQUARE, MILTON PARK, ABINGDON OR14 4RN, OXON, ENGLAND}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Buer, SV (Reprint Author), Norwegian Univ Sci \& Technol, NTNU, Dept Mech \& Ind Engn, Trondheim, Norway.
   Buer, Sven-Vegard; Strandhagen, Jan Ola, Norwegian Univ Sci \& Technol, NTNU, Dept Mech \& Ind Engn, Trondheim, Norway.
   Chan, Felix T. S., Hong Kong Polytech Univ, Dept Ind \& Syst Engn, Kowloon, Hong Kong, Peoples R China.}},
DOI = {{10.1080/00207543.2018.1442945}},
ISSN = {{0020-7543}},
EISSN = {{1366-588X}},
Keywords = {{Industry 4.0; smart manufacturing; lean manufacturing; cyber-physical
   systems; Internet of things; literature review}},
Keywords-Plus = {{PRODUCTION SYSTEMS; OPERATIONAL PERFORMANCE; VALUE STREAM; LOGISTICS;
   FUTURE; IMPLEMENTATION; TECHNOLOGY; OPPORTUNITIES; COMPUTER; BARRIERS}},
Research-Areas = {{Engineering; Operations Research \& Management Science}},
Web-of-Science-Categories  = {{Engineering, Industrial; Engineering, Manufacturing; Operations Research
   \& Management Science}},
Author-Email = {{sven.v.buer@ntnu.no}},
ORCID-Numbers = {{Chan, Felix T.S./0000-0001-7374-2396}},
Cited-References = {{Almada-Lobo F., 2016, J INNOVATION MANAGEM, V3, P16.
   Aydos Thiago F., 2016, 2016 IEEE International Conference on Automation Science and Engineering (CASE), P1140, DOI 10.1109/COASE.2016.7743533.
   Azadegan A, 2013, J OPER MANAG, V31, P193, DOI 10.1016/j.jom.2013.03.002.
   Bhamu J, 2014, INT J OPER PROD MAN, V34, P876, DOI 10.1108/IJOPM-08-2012-0315.
   Bicheno J., 2009, THE LEAN TOOLBOX.
   Blochl SJ, 2016, PROC CIRP, V54, P130, DOI 10.1016/j.procir.2016.04.100.
   Bonekamp L., 2015, J BUS MEDIA PSYCHOL, V6, P33.
   Bortolotti T, 2015, INT J PROD ECON, V160, P182, DOI 10.1016/j.ijpe.2014.10.013.
   Brettel M., 2014, INT J MECH IND SCI E, V8, P37.
   Chauhan G, 2012, MEAS BUS EXCELL, V16, P57, DOI 10.1108/13683041211257411.
   Chen JC, 2014, INT J ADV MANUF TECH, V72, P839, DOI 10.1007/s00170-014-5710-1.
   Chen T, 2017, INT J INTELL SYST, V32, DOI 10.1002/int.21866.
   Cooney R, 2002, INT J OPER PROD MAN, V22, P1130, DOI 10.1108/01443570210446342.
   Cottyn J, 2011, INT J PROD RES, V49, P4397, DOI 10.1080/00207543.2010.548409.
   Dave B., 2015, 23 RDT ANN C INT GRO, P341.
   Dave B, 2016, AUTOMAT CONSTR, V61, P86, DOI 10.1016/j.autcon.2015.10.009.
   Diebold J., 1952, AUTOMATION ADVENT AU.
   Donaldson L., 2001, CONTINGENCY THEORY O, DOI {[}10.4135/9781452229249, DOI 10.4135/9781452229249].
   Drath R, 2014, IEEE IND ELECTRON M, V8, P56, DOI 10.1109/MIE.2014.2312079.
   Frank Heiko, 2014, IND MANAGEMENT, V30, P17.
   Freeman C., 1988, FACTORY FUTURE PRODU.
   Fryer K., 2007, THE TQM MAGAZINE, V19, P497, DOI DOI 10.1108/09544780710817900.
   Ghi A, 2016, L N INF SYST ORGAN, V18, P171, DOI 10.1007/978-3-319-40265-9\_12.
   Haynes P. J., 1991, SAM ADV MANAGE J, V56, P34.
   Heng S., 2014, IND 4 0 UPGRADING GE.
   Hermann M, 2016, P ANN HICSS, P3928, DOI 10.1109/HICSS.2016.488.
   Hofmann E, 2017, COMPUT IND, V89, P23, DOI 10.1016/j.compind.2017.04.002.
   Holweg M, 2007, J OPER MANAG, V25, P420, DOI 10.1016/j.jom.2006.04.001.
   Horbal R, 2008, INT FED INFO PROC, V257, P257.
   Houy T, 2005, COMMUNICATIONS STRAT, V59, P53.
   Jackson M., 2011, INT J ENG RES INNOV, V3, P36.
   Jadhav JR, 2014, INT J LEAN SIX SIG, V5, P122, DOI 10.1108/IJLSS-12-2012-0014.
   JamesMoore SM, 1997, INT J OPER PROD MAN, V17, P899, DOI 10.1108/01443579710171244.
   Jayaram A, 2016, PROCEEDINGS OF THE 2016 2ND INTERNATIONAL CONFERENCE ON CONTEMPORARY COMPUTING AND INFORMATICS (IC3I), P89, DOI 10.1109/IC3I.2016.7917940.
   Kagermann H., 2013, RECOMMENDATIONS IMPL.
   Kamaryt T., 2014, P 24 INT C FLEX AUT, P377.
   Kang HS, 2016, INT J PR ENG MAN-GT, V3, P111, DOI 10.1007/s40684-016-0015-5.
   Karre H, 2017, PROCEDIA MANUF, V9, P206, DOI 10.1016/j.promfg.2017.04.006.
   Kaspar S, 2015, PRODUCTIVITY MANAGEM, V20, P17.
   Khanchanapong T, 2014, INT J PROD ECON, V153, P191, DOI 10.1016/j.ijpe.2014.02.021.
   Kolberg D, 2017, INT J PROD RES, V55, P2845, DOI 10.1080/00207543.2016.1223384.
   Kolberg D, 2015, IFAC PAPERSONLINE, V48, P1870, DOI 10.1016/j.ifacol.2015.06.359.
   Krishnan K, 2013, DATA WAREHOUSING IN THE AGE OF BIG DATA, P1.
   Lee R, 2016, INT J GEOMATE, V11, P2370.
   Liao YX, 2017, INT J PROD RES, V55, P3609, DOI 10.1080/00207543.2017.1308576.
   Ma J., 2017, SENSORS, V17, P22.
   Maghazei O., 2017, ADV PRODUCTION MANAG, P135.
   Maguire K., 2015, UNDERSTANDING LEAN E, P31.
   MANOTAS DUQUE DIEGO FERNANDO, 2007, estud.gerenc., V23, P69.
   Marodin GA, 2013, INT J PROD RES, V51, P6663, DOI 10.1080/00207543.2013.826831.
   Matt DT, 2014, J MANUF TECHNOL MANA, V25, P334, DOI 10.1108/JMTM-05-2012-0054.
   Meline T., 2006, CONT ISSUES COMMUNIC, V33, P21.
   Meudt T, 2017, CIRP ANN-MANUF TECHN, V66, P413, DOI 10.1016/j.cirp.2017.04.005.
   Moeuf A., 2017, INT J PROD RES, DOI {[}10.1080/00207543.2017.1372647, DOI 10.1080/00207543.2017.1372647].
   Moher D, 2009, ANN INTERN MED, V151, P264, DOI 10.7326/0003-4819-151-4-200908180-00135.
   Mrugalska B, 2017, PROCEDIA ENGINEER, V182, P466, DOI 10.1016/j.proeng.2017.03.135.
   Netland TH, 2016, INT J PROD RES, V54, P2433, DOI 10.1080/00207543.2015.1096976.
   Nicoletti B, 2013, IFIP ADV INF COMM TE, V415, P278.
   Ohno T., 1988, TOYOTA PRODUCTION SY.
   Patti A. L, 2008, J BUSINESS EC RES, V6, P83.
   Pettersen Jostein, 2009, TQM Journal, V21, P127, DOI 10.1108/17542730910938137.
   Portioli-Staudacher A, 2012, INT J PROD RES, V50, P3257, DOI 10.1080/00207543.2011.564664.
   Powell D, 2013, INT J OPER PROD MAN, V33, P1490, DOI 10.1108/IJOPM-07-2010-0195.
   Powell D, 2012, INT J LEAN SIX SIG, V3, P172, DOI 10.1108/20401461211282691.
   Powell D, 2013, COMPUT IND, V64, P324, DOI 10.1016/j.compind.2012.12.002.
   Rafique MZ, 2016, IND MANAGE DATA SYST, V116, P1585, DOI 10.1108/IMDS-10-2015-0427.
   Riezebos J, 2009, COMPUT IND, V60, P237, DOI 10.1016/j.compind.2009.01.004.
   Roy D, 2015, PRODUCTIVITY MANAGEM, V20, P27.
   Ruttimann BG, 2016, J SERV SCI MANAG, V9, DOI DOI 10.4236/jssm.2016.96051.
   Sanders A, 2016, J IND ENG MANAG-JIEM, V9, P811, DOI 10.3926/jiem.1940.
   Smith B, 2003, QUAL PROG, V36, P37.
   Sommer L, 2015, J IND ENG MANAG-JIEM, V8, P1512, DOI 10.3926/jiem.1470.
   Sousa R, 2008, J OPER MANAG, V26, P697, DOI 10.1016/j.jom.2008.06.001.
   Staufen AG, 2016, DTSCH IND 4 0 INDEX.
   Strandhagen JW, 2017, ADV MANUF, V5, P344, DOI 10.1007/s40436-017-0200-y.
   Thoben K. D., 2014, 7 INT SCI S LOG COL, P42.
   Wagner T, 2017, PROC CIRP, V63, P125, DOI 10.1016/j.procir.2017.02.041.
   Wang B, 2016, 3RD INTERNATIONAL CONFERENCE ON ECONOMICS AND MANAGEMENT (ICEM 2016), P442.
   Wang K., 2016, ADV MANUFACTURING AU, V113, P259.
   Ward P, 2006, DECISION SCI, V37, P177, DOI 10.1111/j.1540-5915.2006.00121.x.
   Webster J, 2002, MIS QUART, V26, pXIII.
   WEISER M, 1993, COMMUN ACM, V36, P75, DOI 10.1145/159544.159617.
   WEISER M, 1991, SCI AM, V265, P94, DOI 10.1038/scientificamerican0991-94.
   Womack J.P., 1990, MACHINE CHANGED WORL.
   Womack JP, 1996, APPL PSYCHOL-INT REV, V45, P119, DOI 10.1111/j.1464-0597.1996.tb00754.x.
   Zelbst PJ, 2014, MANAG RES REV, V37, P970, DOI 10.1108/MRR-10-2014-273.}},
Number-of-Cited-References = {{86}},
Times-Cited = {{0}},
Usage-Count-Last-180-days = {{4}},
Usage-Count-Since-2013 = {{4}},
Journal-ISO = {{Int. J. Prod. Res.}},
Doc-Delivery-Number = {{GH9EQ}},
Unique-ID = {{ISI:000433972400013}},
DA = {{2018-07-05}},
}

@article{ ISI:000434254200010,
Author = {Lavrynenko, Alina and Shmatko, Natalia and Meissner, Dirk},
Title = {{Managing skills for open innovation: the case of biotechnology}},
Journal = {{MANAGEMENT DECISION}},
Year = {{2018}},
Volume = {{56}},
Number = {{6, SI}},
Pages = {{1336-1347}},
Abstract = {{Purpose The purpose of this paper is to explore the composition of
   skillsets in biotechnology from the perspective of employers and its
   relation to open innovation processes in the sector. It provides
   conclusions for HR management practice.
   Design/methodology/approach The study is based on job advertisements
   content analysis and in-depth interviews with chiefs of research and
   development companies. It uses biotechnology as an example of industry
   where open innovation practice implementation is expanding. The authors
   have used data from American, British and Russian job search engines.
   Findings It is demonstrated that skills composition required in
   biotechnology does not vary significantly among selected countries as
   the market becomes increasingly globalized in terms of not only
   technology used but also personnel hired. Companies stress more on hard
   and digital skills, while soft skills appear to be a must have without
   saying, The mismatch between skills presented in the advertisements and
   articulated in the interviews has been found as employers tend to
   demonstrate innovation friendly company culture for possible applicants.
   Originality/value The present paper enriches literature on employee
   skills for open innovation. It gives comprehensive lists of biotech
   skills in-demand divided into hard, digital and soft categories and
   interprets them within the context of employee cognition and behavior.
   The new insight into employee skills articulated by the companies as a
   strong element of organizational culture is presented.}},
Publisher = {{EMERALD GROUP PUBLISHING LTD}},
Address = {{HOWARD HOUSE, WAGON LANE, BINGLEY BD16 1WA, W YORKSHIRE, ENGLAND}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Lavrynenko, A (Reprint Author), Natl Res Univ, Higher Sch Econ, Moscow, Russia.
   Lavrynenko, Alina; Shmatko, Natalia; Meissner, Dirk, Natl Res Univ, Higher Sch Econ, Moscow, Russia.}},
DOI = {{10.1108/MD-04-2017-0301}},
ISSN = {{0025-1747}},
EISSN = {{1758-6070}},
Keywords = {{Skills; Organizational Culture; Biotechnology; Open innovation}},
Keywords-Plus = {{KNOWLEDGE ECONOMY; INDUSTRY 4.0; SOFT SKILLS; MANAGEMENT; SMES}},
Research-Areas = {{Business \& Economics}},
Web-of-Science-Categories  = {{Business; Management}},
Author-Email = {{alavrinenko@hse.ru}},
Funding-Acknowledgement = {{Government of the Russian Federation}},
Funding-Text = {{The paper was prepared within the framework of the Basic Research
   Program at the National Research University Higher School of Economics
   (HSE) and supported within the framework of the subsidy granted to the
   HSE by the Government of the Russian Federation for the implementation
   of the Global Competitiveness Program.}},
Cited-References = {{Aloini D, 2017, J KNOWL MANAG, V21, P1430, DOI 10.1108/JKM-11-2016-0517.
   Bianchi M, 2011, TECHNOVATION, V31, P22, DOI 10.1016/j.technovation.2010.03.002.
   Burton-Jones A., 2001, KNOWLEDGE CAPITALISM.
   Caetano M, 2011, TECHNOVATION, V31, P320, DOI 10.1016/j.technovation.2011.01.005.
   Castiglioni G., 2014, 142 AMST I ADV LAB S.
   Centre for Spatial Economics, 2008, FUT LAB SUPPL DEM 10.
   Cervantes M, 2017, FORESIGHT STI GOV, V11, P27, DOI 10.17323/2500-2597.2017.2.27.42.
   Chiaroni D, 2011, TECHNOVATION, V31, P34, DOI 10.1016/j.technovation.2009.08.007.
   Dahlander L, 2010, RES POLICY, V39, P699, DOI 10.1016/j.respol.2010.01.013.
   Doran J, 2014, ECON LETT, V125, P107, DOI 10.1016/j.econlet.2014.08.011.
   Harison E., 2009, 1175 ETLA.
   Heckman JJ, 2012, LABOUR ECON, V19, P451, DOI 10.1016/j.labeco.2012.05.014.
   Hendarman AF, 2012, PROCD SOC BEHV, V52, P35, DOI 10.1016/j.sbspro.2012.09.439.
   Huizingh E, 2011, TECHNOVATION, V31, P1, DOI 10.1016/j.technovation.2010.10.004.
   Karoly L.A., 2004, 21 CENTURY WORK FORC.
   Kergroach S, 2017, FORESIGHT STI GOV, V11, P6, DOI 10.17323/2500-2597.2017.4.6.8.
   Kratzer J, 2017, TECHNOL FORECAST SOC, V119, P128, DOI 10.1016/j.techfore.2017.03.022.
   Lee S, 2010, RES POLICY, V39, P290, DOI 10.1016/j.respol.2009.12.009.
   Liu Y, 2017, J KNOWL MANAG, V21, P592, DOI 10.1108/JKM-05-2016-0183.
   del Rosario RSM, 2017, INT J HOSP MANAG, V65, P71, DOI 10.1016/j.ijhm.2017.06.001.
   McGregor D., 1960, HUMAN SIDE ENTERPRIS.
   Meso P., 2000, Journal of Knowledge Management, V4, P224, DOI 10.1108/13673270010350020.
   Motyl B, 2017, PROCEDIA MANUF, V11, P1501, DOI 10.1016/j.promfg.2017.07.282.
   PABLOS P. O., 2008, J KNOWLEDGE MANAGEME, V12, P48.
   Powell WW, 2004, ANNU REV SOCIOL, V30, P199, DOI 10.1146/annurev.soc.29.010202.100037.
   Roshchin S, 2017, FORESIGHT STI GOV, V11, P33, DOI 10.17323/2500-2597.2017.4.33.43.
   Shamsi A, 2017, FORESIGHT STI GOV, V11, P44, DOI 10.17323/2500-2597.2017.4.44.51.
   Steyaert J., 2002, ADVOCACY ACTIVISM IN, P199.
   van Dijk J, 2003, INFORM SOC, V19, P315, DOI 10.1080/01972240390227895.
   van Dijk J., 2005, DEEPENING DIVIDE INE.
   Wilson R, 2013, INT J EDUC RES, V61, P101, DOI 10.1016/j.ijer.2013.03.013.
   Wynarczyk P, 2013, J SMALL BUS ENTERP D, V20, P258, DOI 10.1108/14626001311326725.}},
Number-of-Cited-References = {{32}},
Times-Cited = {{0}},
Usage-Count-Last-180-days = {{1}},
Usage-Count-Since-2013 = {{1}},
Journal-ISO = {{Manag. Decis.}},
Doc-Delivery-Number = {{GI3EL}},
Unique-ID = {{ISI:000434254200010}},
DA = {{2018-07-05}},
}

@article{ ISI:000433898900014,
Author = {Queiroz, Maciel Manoel and Telles, Renato},
Title = {{Big data analytics in supply chain and logistics: an empirical approach}},
Journal = {{INTERNATIONAL JOURNAL OF LOGISTICS MANAGEMENT}},
Year = {{2018}},
Volume = {{29}},
Number = {{2, SI}},
Pages = {{767-783}},
Abstract = {{Purpose The purpose of this paper is to recognise the current state of
   big data analytics (BDA) on different organisational and supply chain
   management (SCM) levels in Brazilian firms. Specifically, the paper
   focuses on understanding BDA awareness in Brazilian firms and proposes a
   framework to analyse firms' maturity in implementing BDA projects in
   logistics/SCM.
   Design/methodology/approach A survey on SCM levels of 1,000 firms was
   conducted via questionnaires. Of the 272 questionnaires received, 155
   were considered valid, representing a 15.5 per cent response rate.
   Findings The knowledge of Brazilian firms regarding BDA, the
   difficulties and barriers to BDA project adoption, and the relationship
   between supply chain levels and BDA knowledge were identified. A
   framework was proposed for the adoption of BDA projects in SCM.
   Research limitations/implications This study does not offer external
   validity due to restrictions for the generalisation of the results even
   in the Brazilian context, which stems from the conducted sampling.
   Future studies should improve the comprehension in this research field
   and focus on the impact of big data on supply chains or networks in
   emerging world regions, such as Latin America.
   Practical implications This paper provides insights for practitioners to
   develop activities involving big data and SCM, and proposes functional
   and consistent guidance through the BDA-SCM triangle framework as an
   additional tool in the implementation of BDA projects in the SCM
   context.
   Originality/value This study is the first to analyse BDA on different
   organisational and SCM levels in emerging countries, offering
   instrumentalisation for BDA-SCM projects.}},
Publisher = {{EMERALD GROUP PUBLISHING LTD}},
Address = {{HOWARD HOUSE, WAGON LANE, BINGLEY BD16 1WA, W YORKSHIRE, ENGLAND}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Queiroz, MM (Reprint Author), Univ Sao Paulo, Dept Naval Architecture \& Ocean Engn, Sao Paulo, Brazil.
   Queiroz, Maciel Manoel, Univ Sao Paulo, Dept Naval Architecture \& Ocean Engn, Sao Paulo, Brazil.
   Telles, Renato, Univ Paulista UNIP, Programa Mestrado Adm Empresas, Sao Paulo, Brazil.}},
DOI = {{10.1108/IJLM-05-2017-0116}},
ISSN = {{0957-4093}},
EISSN = {{1758-6550}},
Keywords = {{Survey; Decision-making; South America; Supply chain innovation;
   Logistics competences; Logistics strategy}},
Keywords-Plus = {{RESOURCE-BASED VIEW; PREDICTIVE ANALYTICS; INDUSTRY 4.0; DATA SCIENCE;
   MANAGEMENT; CHALLENGES; OPPORTUNITIES; FIRM; SUSTAINABILITY; PERSPECTIVE}},
Research-Areas = {{Business \& Economics}},
Web-of-Science-Categories  = {{Management}},
Author-Email = {{maciel.queiroz@usp.br}},
Cited-References = {{Addo-Tenkorang R, 2016, COMPUT IND ENG, V101, P528, DOI 10.1016/j.cie.2016.09.023.
   Aggestam V, 2017, J RURAL STUD, V51, P64, DOI 10.1016/j.jrurstud.2017.02.003.
   Akhtar P., 2016, R\&D MANAGE, DOI {[}10. 1111/radm. 12253, DOI 10.1111/RADM.12253].
   Akter S, 2016, INT J PROD ECON, V182, P113, DOI 10.1016/j.ijpe.2016.08.018.
   Barney J, 2001, J MANAGE, V27, P625, DOI 10.1177/014920630102700601.
   Chae B, 2015, INT J PROD ECON, V165, P247, DOI 10.1016/j.ijpe.2014.12.037.
   Chauhan Sumedha, 2016, Info, V18, P73, DOI 10.1108/info-03-2016-0012.
   Chen IJ, 2004, J OPER MANAG, V22, P119, DOI 10.1016/j.jom.2003.12.007.
   Chen JC