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Times-Cited = {{0}},
Usage-Count-Last-180-days = {{0}},
Usage-Count-Since-2013 = {{0}},
Doc-Delivery-Number = {{BI3ZZ}},
Unique-ID = {{ISI:000411570800011}},
DA = {{2018-07-05}},
}

@article{ ISI:000413197200004,
Author = {Tsai, Mi-Ching and Ko, Po-Jen},
Title = {{On-line condition monitoring of servo motor drive systems by HHT in
   Industry 4.0}},
Journal = {{JOURNAL OF THE CHINESE INSTITUTE OF ENGINEERS}},
Year = {{2017}},
Volume = {{40}},
Number = {{7, SI}},
Pages = {{572-584}},
Abstract = {{Industry 4.0, the current trend of automation and data exchange in
   manufacturing technologies, includes the development of cyber-physical
   systems, the Internet of Things, and cloud computing, which create what
   has been called a `smart factory.' In order to prevent digital
   manufacturing production lines in smart factories from shutting down,
   the development of self-diagnostic techniques is a significant issue in
   Industry 4.0. Thus, this paper presents a novel on-line condition
   monitoring method that is based on the measured line current of a
   brushless DC motor drive system. The characteristic component of line
   current is extracted by the time-frequency signal processing method,
   namely the ensemble empirical mode decomposition-based Hilbert Huang
   Transform (EEMD-based HHT), and then the mean value of characteristic
   component of current utilized for health monitoring is obtained. For the
   sake of increasing the reliability of the results, gauge repeatability
   and reproducibility is employed to evaluate the reliability of the
   computed mean value of the characteristic current. A healthy reference
   index, defined from the characteristic intrinsic mode function, is
   proposed for decision-making during on-line monitoring. Theoretical
   analysis and experiments are conducted to evaluate the effectiveness of
   the proposed health monitoring approach.}},
Publisher = {{CHINESE INST ENGINEERS}},
Address = {{\#1, 4TH FL, SEC 2, JEN-AI RD, TAIPEI 10019, TAIWAN}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Tsai, MC (Reprint Author), Natl Cheng Kung Univ, Dept Mech Engn, Tainan, Taiwan.
   Tsai, Mi-Ching; Ko, Po-Jen, Natl Cheng Kung Univ, Dept Mech Engn, Tainan, Taiwan.}},
DOI = {{10.1080/02533839.2017.1372219}},
ISSN = {{0253-3839}},
EISSN = {{2158-7299}},
Keywords = {{Condition monitoring of BLDC; on-line monitoring; Hilbert Huang
   transform; Industry 4.0}},
Keywords-Plus = {{EMPIRICAL MODE DECOMPOSITION; FAULT-DETECTION; PWM INVERTER; DIAGNOSIS;
   FFT}},
Research-Areas = {{Engineering}},
Web-of-Science-Categories  = {{Engineering, Multidisciplinary}},
Author-Email = {{mctsai@mail.ncku.edu.tw}},
Funding-Acknowledgement = {{Ministry of Science and Technology of Taiwan {[}MOST
   102-2221-E-006-116-MY3]}},
Funding-Text = {{This work was supported by Ministry of Science and Technology of Taiwan
   {[}project number MOST 102-2221-E-006-116-MY3].}},
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Number-of-Cited-References = {{25}},
Times-Cited = {{0}},
Usage-Count-Last-180-days = {{8}},
Usage-Count-Since-2013 = {{9}},
Journal-ISO = {{J. Chin. Inst. Eng.}},
Doc-Delivery-Number = {{FK0VA}},
Unique-ID = {{ISI:000413197200004}},
DA = {{2018-07-05}},
}

@article{ ISI:000416607400006,
Author = {Goelzer, Philipp and Fritzsche, Albrecht},
Title = {{Data-driven operations management: organisational implications of the
   digital transformation in industrial practice}},
Journal = {{PRODUCTION PLANNING \& CONTROL}},
Year = {{2017}},
Volume = {{28}},
Number = {{16}},
Pages = {{1332-1343}},
Abstract = {{The ongoing digital transformation on industry has so far mostly been
   studied from the perspective of cyber-physical systems solutions as
   drivers of change. In this paper, we turn the focus to the changes in
   data management resulting from the introduction of new digital
   technologies in industry. So far, data processing activities in
   operations management have usually been organised according to the
   existing business structures inside and in-between companies. With
   increasing importance of Big Data in the context of the digital
   transformation, the opposite will be the case: business structures will
   evolve based on the potential to develop value streams offered on the
   basis of new data processing solutions. Based on a review of the extant
   literature, we identify the general different fields of action for
   operations management related to data processing. In particular, we
   explore the impact of Big Data on industrial operations and its
   organisational implications.}},
Publisher = {{TAYLOR \& FRANCIS LTD}},
Address = {{2-4 PARK SQUARE, MILTON PARK, ABINGDON OR14 4RN, OXON, ENGLAND}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Golzer, P (Reprint Author), Friedrich Alexander Univ Erlangen Nurnberg FAU, Nurnberg, Germany.
   Goelzer, Philipp; Fritzsche, Albrecht, Friedrich Alexander Univ Erlangen Nurnberg FAU, Nurnberg, Germany.}},
DOI = {{10.1080/09537287.2017.1375148}},
ISSN = {{0953-7287}},
EISSN = {{1366-5871}},
Keywords = {{Big Data; operations; Industry 4.0}},
Keywords-Plus = {{CYBER-PHYSICAL SYSTEMS; BIG DATA; INFORMATION-SYSTEMS; CHALLENGES;
   INNOVATION; COMMUNICATION; ENVIRONMENT; ANALYTICS; NETWORKS}},
Research-Areas = {{Engineering; Operations Research \& Management Science}},
Web-of-Science-Categories  = {{Engineering, Industrial; Engineering, Manufacturing; Operations Research
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Author-Email = {{philipp.goelzer@fau.de}},
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Number-of-Cited-References = {{168}},
Times-Cited = {{0}},
Usage-Count-Last-180-days = {{27}},
Usage-Count-Since-2013 = {{32}},
Journal-ISO = {{Prod. Plan. Control}},
Doc-Delivery-Number = {{FO2KV}},
Unique-ID = {{ISI:000416607400006}},
DA = {{2018-07-05}},
}

@article{ ISI:000419294600023,
Author = {Akberdina, V. V. and Grebenkin, A. V. and Smirnova, O. P.},
Title = {{Comprehensive Assessment of Industries Economic Security: Regional
   Aspect}},
Journal = {{EKONOMIKA REGIONA-ECONOMY OF REGION}},
Year = {{2017}},
Volume = {{13}},
Number = {{4}},
Pages = {{1264-1279}},
Abstract = {{The article investigates the interaction of the forms of network
   integration and the development of complimentary production networks in
   terms of economic security. Currently, the most developed countries are
   occurring a transition from the industrial society to the information
   society. The industry 4.0 as the continuous communication at all levels
   and characterizes the production processes, in which technologies and
   devices interact automatically in the value-added chain. Under these new
   conditions, the former types of organizational structures of economic
   entities are not sufficiently effective. Therefore, there is a need to
   create new, modern types of organizational structures. One of these
   types is network structures. Currently, they are becoming characteristic
   features of the new economy. Regional economic security depends on
   internal and external threats, which lead to unstable situations.
   Regional crisis situations are influenced by both macroeconomic crisis
   processes and local features of economic and social development, as well
   as the resource potential, geographical location, national and other
   peculiarities. The article defines the specific characteristics of the
   regions of the Ural Federal District, as well as the current situation
   of the regional economy and threats to the region. The authors have
   evaluated the economic security of complimentary production networks at
   the regional level. This evaluation has revealed the interconnection
   between complimentary production networks and the construction industry
   in the national economy. We have defined the economic security of
   complimentary production networks and specified the concept of
   complimentary production networks. The research findings may be applied
   by organizations as a new perspective of industry using network forms
   related to economic security.}},
Publisher = {{RUSSIAN ACAD SCIENCES, URAL BRANCH, INST ECONOMICS}},
Address = {{UL MOSKOVSKAYA 29, EKATERINBURG, 620014, RUSSIA}},
Type = {{Article}},
Language = {{Russian}},
Affiliation = {{Akberdina, VV (Reprint Author), RAS, Ural Branch, Inst Econ, 29 Moskovskaya St, Ekaterinburg 620014, Russia.
   Akberdina, VV (Reprint Author), Ural Fed Univ, 19 Mira St, Ekaterinburg 620000, Russia.
   Akberdina, V. V., RAS, Ural Branch, Inst Econ, 29 Moskovskaya St, Ekaterinburg 620014, Russia.
   Grebenkin, A. V.; Smirnova, O. P., RAS, Ural Branch, Inst Econ, Ctr Struct Policy Reg, 29 Moskovskaya St, Ekaterinburg 620014, Russia.
   Akberdina, V. V.; Grebenkin, A. V.; Smirnova, O. P., Ural Fed Univ, 19 Mira St, Ekaterinburg 620000, Russia.}},
DOI = {{10.17059/2017-4-23}},
ISSN = {{2072-6414}},
EISSN = {{2411-1406}},
Keywords = {{economic security; efficiency; indicators; industry complex; industry
   4.0; network interaction; complimentary production networks;
   construction complex of Russia; risks; threats}},
Research-Areas = {{Area Studies}},
Web-of-Science-Categories  = {{Area Studies}},
Author-Email = {{akb\_vic@mail.ru
   avgrebenkin48@yandex.ru
   olysmirnova95@gmail.com}},
Funding-Acknowledgement = {{Russian Foundation for Basic Research {[}16-06-00403]}},
Funding-Text = {{The article has been supported by the Russian Foundation for Basic
   Research, Grant. 16-06-00403 ``Modeling the motivational potentials of a
   multi-areas industrial policy in the conditions of new
   industrialization{''}.}},
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Number-of-Cited-References = {{28}},
Times-Cited = {{0}},
Usage-Count-Last-180-days = {{0}},
Usage-Count-Since-2013 = {{0}},
Journal-ISO = {{Ekon. Reg.}},
Doc-Delivery-Number = {{FR7ZY}},
Unique-ID = {{ISI:000419294600023}},
OA = {{gold}},
DA = {{2018-07-05}},
}

@incollection{ ISI:000419768000002,
Author = {Thames, Lane and Schaefer, Dirk},
Editor = {{Thames, L and Schaefer, D}},
Title = {{Industry 4.0: An Overview of Key Benefits, Technologies, and Challenges}},
Booktitle = {{CYBERSECURITY FOR INDUSTRY 4.0: ANALYSIS FOR DESIGN AND MANUFACTURING}},
Series = {{Springer Series in Advanced Manufacturing}},
Year = {{2017}},
Pages = {{1-33}},
Abstract = {{A new revolution known as Industry 4.0 is occurring where countless
   elements comprising industrial systems are being interfaced with
   internet communication technologies to form the smart factories and
   manufacturing organizations of the future. Industry 4.0 and its
   associated technologies are currently being driven by disruptive
   innovation that promises to bring countless new value creation
   opportunities across all major market sectors. However, existing
   Internet technologies are plagued by cybersecurity and data privacy
   issues that will present major challenges and roadblocks for adopters of
   Industry 4.0 technologies. Industry 4.0 will face traditional
   cybersecurity issues along with its very own unique security and privacy
   challenges. If these challenges are not appropriately addressed, the
   true potential of Industry 4.0 may never be achieved. This chapter
   provides a brief overview of several key Industry 4.0 technologies and
   paradigms in order to give the reader a better understanding of the
   cybersecurity aspects of the remaining chapters in the book.}},
Publisher = {{SPRINGER INTERNATIONAL PUBLISHING AG}},
Address = {{GEWERBESTRASSE 11, CHAM, CH-6330, SWITZERLAND}},
Type = {{Article; Book Chapter}},
Language = {{English}},
Affiliation = {{Thames, L (Reprint Author), Tripwire Inc, Atlanta, GA 30354 USA.
   Thames, Lane, Tripwire Inc, Atlanta, GA 30354 USA.
   Schaefer, Dirk, Univ Bath, Bath, Avon, England.}},
DOI = {{10.1007/978-3-319-50660-9\_1}},
ISSN = {{1860-5168}},
ISBN = {{978-3-319-50660-9; 978-3-319-50659-3}},
Research-Areas = {{Computer Science; Engineering}},
Web-of-Science-Categories  = {{Computer Science, Information Systems; Computer Science, Software
   Engineering; Engineering, Manufacturing}},
Author-Email = {{lthames@tripwire.com
   d.schaefer@bath.ac.uk}},
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Number-of-Cited-References = {{24}},
Times-Cited = {{2}},
Usage-Count-Last-180-days = {{5}},
Usage-Count-Since-2013 = {{5}},
Doc-Delivery-Number = {{BJ2QX}},
Unique-ID = {{ISI:000419768000002}},
DA = {{2018-07-05}},
}

@incollection{ ISI:000419768000006,
Author = {Manogaran, Gunasekaran and Thota, Chandu and Lopez, Daphne and
   Sundarasekar, Revathi},
Editor = {{Thames, L and Schaefer, D}},
Title = {{Big Data Security Intelligence for Healthcare Industry 4.0}},
Booktitle = {{CYBERSECURITY FOR INDUSTRY 4.0: ANALYSIS FOR DESIGN AND MANUFACTURING}},
Series = {{Springer Series in Advanced Manufacturing}},
Year = {{2017}},
Pages = {{103-126}},
Abstract = {{Nowadays, sensors are playing a vital role in almost all applications
   such as environmental monitoring, transport, smart city applications and
   healthcare applications and so on. Especially, wearable medical devices
   with sensors are essential for gathering of rich information indicative
   of our physical and mental health. These sensors are continuously
   generating enormous data often called as Big Data. It is difficult to
   process and analyze the Big Data for finding valuable information. Thus
   effective and secure architecture is needed for organizations to process
   the big data in integrated industry 4.0. These sensors are continuously
   generating enormous data. Hence, it is difficult to process and analyze
   the valuable information. This chapter proposes a secure Industrial
   Internet of Things (IoT) architecture to store and process scalable
   sensor data (big data) for health care applications. Proposed Meta
   Cloud-Redirection (MC-R) architecture with big data knowledge system is
   used to collect and store the sensor data (big data) generated from
   different sensor devices. In the proposed system, sensor medical devices
   are fixed with the human body to collect clinical measures of the
   patient. Whenever the respiratory rate, heart rate, blood pressure, body
   temperature and blood sugar exceed its normal value then the devices
   send an alert message with clinical value to the doctor using a wireless
   network. The proposed system uses key management security mechanism to
   protect big data in industry 4.0.}},
Publisher = {{SPRINGER INTERNATIONAL PUBLISHING AG}},
Address = {{GEWERBESTRASSE 11, CHAM, CH-6330, SWITZERLAND}},
Type = {{Article; Book Chapter}},
Language = {{English}},
Affiliation = {{Manogaran, G (Reprint Author), VIT Univ, Sch Informat Technol \& Engn, Vellore, Tamil Nadu, India.
   Manogaran, Gunasekaran; Lopez, Daphne, VIT Univ, Sch Informat Technol \& Engn, Vellore, Tamil Nadu, India.
   Thota, Chandu, Infosys Ltd, Albert Einstein Lab, Hyderabad, Andhra Pradesh, India.
   Sundarasekar, Revathi, Priyadarshini Engn Coll, Vellore, Tamil Nadu, India.}},
DOI = {{10.1007/978-3-319-50660-9\_5}},
ISSN = {{1860-5168}},
ISBN = {{978-3-319-50660-9; 978-3-319-50659-3}},
Keywords = {{Industry 4.0; Internet of Things (IoT); Big data; Cloud computing;
   Security; Healthcare}},
Keywords-Plus = {{SENSOR NETWORKS}},
Research-Areas = {{Computer Science; Engineering}},
Web-of-Science-Categories  = {{Computer Science, Information Systems; Computer Science, Software
   Engineering; Engineering, Manufacturing}},
Author-Email = {{gunavit@gmail.com}},
Cited-References = {{ALmawee W, 2012, THESIS W MICHIGAN U.
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Number-of-Cited-References = {{29}},
Times-Cited = {{1}},
Usage-Count-Last-180-days = {{1}},
Usage-Count-Since-2013 = {{1}},
Doc-Delivery-Number = {{BJ2QX}},
Unique-ID = {{ISI:000419768000006}},
DA = {{2018-07-05}},
}

@article{ ISI:000423366000009,
Author = {Preuveneers, Davy and Joosen, Wouter and Ilie-Zudor, Elisabeth},
Title = {{Trustworthy data-driven networked production for customer-centric plants}},
Journal = {{INDUSTRIAL MANAGEMENT \& DATA SYSTEMS}},
Year = {{2017}},
Volume = {{117}},
Number = {{10}},
Pages = {{2305-2324}},
Abstract = {{Purpose - Industry 4.0 envisions a future of networked production where
   interconnected machines and business processes running in the cloud will
   communicate with one another to optimize production and enable more
   efficient and sustainable individualized/mass manufacturing. However,
   the openness and process transparency of networked production in
   hyperconnected manufacturing enterprises pose severe cyber-security
   threats and information security challenges that need to be dealt with.
   The paper aims to discuss these issues.
   Design/methodology/approach - This paper presents a distributed trust
   model and middleware for collaborative and decentralized access control
   to guarantee data transparency, integrity, authenticity and
   authorization of dataflow-oriented Industry 4.0 processes.
   Findings - The results of a performance study indicate that private
   blockchains are capable of securing IoT-enabled dataflow-oriented
   networked production processes across the trust boundaries of the
   Industry 4.0 manufacturing enterprise.
   Originality/value - This paper contributes a decentralized identity and
   relationship management for users, sensors, actuators, gateways and
   cloud services to support processes that cross the trust boundaries of
   the manufacturing enterprise, while offering protection against
   malicious adversaries gaining unauthorized access to systems, services
   and information.}},
Publisher = {{EMERALD GROUP PUBLISHING LTD}},
Address = {{HOWARD HOUSE, WAGON LANE, BINGLEY BD16 1WA, W YORKSHIRE, ENGLAND}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Preuveneers, D (Reprint Author), Imec DistriNet KU Leuven, Leuven, Belgium.
   Preuveneers, Davy; Joosen, Wouter, Imec DistriNet KU Leuven, Leuven, Belgium.
   Ilie-Zudor, Elisabeth, Hungarian Acad Sci, Inst Comp Sci \& Control, MTA SZTAKI, Budapest, Hungary.}},
DOI = {{10.1108/IMDS-10-2016-0419}},
ISSN = {{0263-5577}},
EISSN = {{1758-5783}},
Keywords = {{Internet; Information flow; Network organization; Blockchains;
   Inter-organizational trust; Networked production}},
Keywords-Plus = {{SECURITY; MANAGEMENT; INTERNET; THINGS; TRUST}},
Research-Areas = {{Computer Science; Engineering}},
Web-of-Science-Categories  = {{Computer Science, Interdisciplinary Applications; Engineering,
   Industrial}},
Author-Email = {{davy.preuveneers@cs.kuleuven.be}},
Funding-Acknowledgement = {{Research Fund KU Leuven; European Commission through the H project
   EXCELL {[}691829]}},
Funding-Text = {{This research is partially funded by the Research Fund KU Leuven and by
   the European Commission through the H2020 project EXCELL
   (http://excell-project.eu/) under Grant No. 691829.}},
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Number-of-Cited-References = {{34}},
Times-Cited = {{0}},
Usage-Count-Last-180-days = {{5}},
Usage-Count-Since-2013 = {{5}},
Journal-ISO = {{Ind. Manage. Data Syst.}},
Doc-Delivery-Number = {{FT7XH}},
Unique-ID = {{ISI:000423366000009}},
DA = {{2018-07-05}},
}

@article{ ISI:000426882400017,
Author = {Spiegel, Christoph and Kuschnerus, Dirk and Gebhardt, Patrik and
   Kaisler, Ralf and Mucke, Hans Joerg},
Title = {{Decentralised cooperation of sensor-based sub-systems - Open platform
   for smart production systems}},
Journal = {{ATP EDITION}},
Year = {{2017}},
Number = {{7-8}},
Pages = {{54-61}},
Abstract = {{Industry 4.0 is a building block of the German government's high tech
   strategy. The dynamic adaptation of production systems for Industry 4.0
   requires the realignment of current centralised automation architectures
   based on the established automation pyramid. These isolate components of
   the production process against other parts of the value chain,
   preventing the application of the Industry 4.0 paradigm. Taking a
   beverage bottling machine as an example, the DnSPro project shows how an
   open platform approach can help to establish smart autonomous
   subsystems.}},
Publisher = {{DIV DEUTSCHER INDUSTRIEVERLAG GMBH}},
Address = {{ARNULFSTR 124, MUNCHEN, 80636, GERMANY}},
Type = {{Article}},
Language = {{German}},
Affiliation = {{Spiegel, C (Reprint Author), KROHNE Innovat GmbH, Ludwig Krohne Str 5, D-47058 Duisburg, Germany.
   Spiegel, Christoph, Krohne Innovat, Bereich Entwicklung Kommunikat, Abt Embedded Software, Duisburg, Germany.
   Spiegel, Christoph, Krohne Innovat, Bereich Entwicklung Kommunikat, Grp Adv Interfaces, Duisburg, Germany.
   Kuschnerus, Dirk; Mucke, Hans Joerg, Krohne Innovat, Bereich Corp Res, Duisburg, Germany.
   Gebhardt, Patrik; Kaisler, Ralf, Krohne Innovat, Duisburg, Germany.}},
ISSN = {{2190-4111}},
EISSN = {{2364-3137}},
Keywords = {{Decentralized automation; open platform; vertical integration; OPC UA;
   beverage bottling}},
Research-Areas = {{Automation \& Control Systems}},
Web-of-Science-Categories  = {{Automation \& Control Systems}},
Author-Email = {{c.spiegel@krohne.com}},
Cited-References = {{{[}Anonymous], TR02102 BSIBSI.
   {[}Anonymous], 62541 IEC.
   BMBF, 2014, NEUE HIGHT STRAT INN.
   Holm T, 2014, ATP ED, P34, DOI 10.17560/atp.v56i11.353.
   Klettner C., 2017, ATP EDITION, V59, P20, DOI {[}10.17560/atp.v59i01-02.620, DOI 10.17560/ATP.V59I01-02.620].}},
Number-of-Cited-References = {{5}},
Times-Cited = {{0}},
Usage-Count-Last-180-days = {{0}},
Usage-Count-Since-2013 = {{0}},
Journal-ISO = {{Atp Ed.}},
Doc-Delivery-Number = {{FY5OW}},
Unique-ID = {{ISI:000426882400017}},
DA = {{2018-07-05}},
}

@article{ ISI:000397047200016,
Author = {Trantopoulos, Konstantinos and von Krogh, Georg and Wallin, Martin W.
   and Woerter, Martin},
Title = {{EXTERNAL KNOWLEDGE AND INFORMATION TECHNOLOGY: IMPLICATIONS FOR PROCESS
   INNOVATION PERFORMANCE}},
Journal = {{MIS QUARTERLY}},
Year = {{2017}},
Volume = {{41}},
Number = {{1}},
Pages = {{287+}},
Month = {{MAR}},
Abstract = {{Prior information systems research highlights the vital role of
   information technology (IT) for innovation in firms. At the same time,
   innovation literature has shown that accessing and integrating knowledge
   from sources that reside outside the firm, such as customers,
   competitors, universities, or consultants, is critical to firms'
   innovative success. In this paper, we draw on the knowledge-based view
   of the firm to investigate how search in external knowledge sources and
   information technology for knowledge absorption jointly influence
   process innovation performance. Our model is tested on a nine-year panel
   (2003-2011) of Swiss firms from a wide range of manufacturing
   industries. Using instrumental variables, and disaggregating by type of
   IT, we find that data access systems and network connectivity hold very
   different potential for the effective absorption of external knowledge,
   and the subsequent realized economic gains from process innovation.
   Against the backdrop of today's digital transformation, our findings
   demonstrate how firms should coordinate strategies for sourcing external
   knowledge with specific IT investments in order to improve their
   innovation performance.}},
Publisher = {{SOC INFORM MANAGE-MIS RES CENT}},
Address = {{UNIV MINNESOTA-SCH MANAGEMENT 271 19TH AVE SOUTH, MINNEAPOLIS, MN 55455
   USA}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Trantopoulos, K (Reprint Author), IMD, Chemin Beller 23, CH-1001 Lausanne, Switzerland.
   Trantopoulos, K (Reprint Author), ETH, Weinbergstr 56-58, CH-8092 Zurich, Switzerland.
   Trantopoulos, Konstantinos, IMD, Chemin Beller 23, CH-1001 Lausanne, Switzerland.
   Trantopoulos, Konstantinos; von Krogh, Georg, ETH, Weinbergstr 56-58, CH-8092 Zurich, Switzerland.
   Wallin, Martin W., Chalmers, SE-41296 Gothenburg, Sweden.
   Woerter, Martin, ETH, Leonhardstr 21, CH-8092 Zurich, Switzerland.}},
DOI = {{10.25300/MISQ/2017/41.1.15}},
ISSN = {{0276-7783}},
Keywords = {{Business value of IT; digitization; Industry 4.0; innovation strategy;
   knowledge-based view of the firm; absorptive capacity; open innovation;
   external search; process innovation; firm performance}},
Keywords-Plus = {{RESEARCH-AND-DEVELOPMENT; UK MANUFACTURING FIRMS; ABSORPTIVE-CAPACITY;
   ORGANIZATIONAL KNOWLEDGE; MANAGEMENT-SYSTEMS; MANAGING KNOWLEDGE;
   EMPIRICAL-ANALYSIS; PROCESS EQUIPMENT; TACIT KNOWLEDGE; RESEARCH AGENDA}},
Research-Areas = {{Computer Science; Information Science \& Library Science; Business \&
   Economics}},
Web-of-Science-Categories  = {{Computer Science, Information Systems; Information Science \& Library
   Science; Management}},
Author-Email = {{kontranto@gmail.com
   gvkrogh@ethz.ch
   martin.wallin@chalmers.se
   woerter@kof.ethz.ch}},
Funding-Acknowledgement = {{Swiss National Science Foundation {[}SNF 100018-146439]}},
Funding-Text = {{We are very grateful for excellent support and constructive comments
   from the MIS Quarterly special issue editors, an associate editor, and
   three anonymous reviewers. The authors thank the Global Center for
   Digital Business Transformation at IMD and Michael Wade for the shared
   insights, as well as the seminar participants at Chalmers University of
   Technology, Gothenburg University, the Ratio Institute in Stockholm, and
   Aarhus University for helpful comments on previous versions of the
   manuscript. The authors also thank the KOF Swiss Economic Institute for
   providing the data for this research. This study received support from
   the Swiss National Science Foundation (SNF 100018-146439).}},
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Number-of-Cited-References = {{115}},
Times-Cited = {{5}},
Usage-Count-Last-180-days = {{53}},
Usage-Count-Since-2013 = {{164}},
Journal-ISO = {{MIS Q.}},
Doc-Delivery-Number = {{EO9ZS}},
Unique-ID = {{ISI:000397047200016}},
DA = {{2018-07-05}},
}

@article{ ISI:000400924100025,
Author = {Khare, Chaitanya and Chin, Swee-Teng},
Title = {{Potential for data analytics opportunities in SMART chemical Industry}},
Journal = {{CHIMICA OGGI-CHEMISTRY TODAY}},
Year = {{2017}},
Volume = {{35}},
Number = {{2}},
Pages = {{60-61}},
Month = {{MAR-APR}},
Abstract = {{In today's environment digitization will bring essential information on
   safety and process data to our fingertips. The future generation needs
   to harness the potential presented through digitization building the
   foundation of Enterprise Manufacturing Intelligence leading the SMART
   Chemical industry globally. This article discusses the value of driving
   from data to knowledge capture and the ways to achieve the goal within
   an organization.}},
Publisher = {{TEKNOSCIENZE PUBL}},
Address = {{VIALE BRIANZA 22, 20127 MILANO, ITALY}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Khare, C (Reprint Author), Dow Chem Co USA, APB Texas Innovat Ctr, 332 SH 332 East,2B220, Lake Jackson, TX 77566 USA.
   Khare, Chaitanya; Chin, Swee-Teng, Dow Chem Co USA, APB Texas Innovat Ctr, 332 SH 332 East,2B220, Lake Jackson, TX 77566 USA.}},
ISSN = {{0392-839X}},
EISSN = {{1973-8250}},
Keywords = {{EMI; industry 4.0; smart chemical industry; IIOT; big data; statistics}},
Research-Areas = {{Biotechnology \& Applied Microbiology; Chemistry}},
Web-of-Science-Categories  = {{Biotechnology \& Applied Microbiology; Chemistry, Multidisciplinary}},
Cited-References = {{Colegrove LF, 2016, CHEM ENG PROG, V112, P41.
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   Ljung L., 1989, SYSTEM IDENTIFICATIO.
   Seinfeld J. H., 1974, MATH METHODCHEM EN, V3.}},
Number-of-Cited-References = {{4}},
Times-Cited = {{0}},
Usage-Count-Last-180-days = {{0}},
Usage-Count-Since-2013 = {{3}},
Journal-ISO = {{Chim. Oggi-Chem. Today}},
Doc-Delivery-Number = {{EU3JB}},
Unique-ID = {{ISI:000400924100025}},
DA = {{2018-07-05}},
}

@article{ ISI:000413736600023,
Author = {Tieng, Hao and Chen, Chun-Fang and Cheng, Fan-Tien and Yang, Haw-Ching},
Title = {{Automatic Virtual Metrology and Target Value Adjustment for Mass
   Customization}},
Journal = {{IEEE ROBOTICS AND AUTOMATION LETTERS}},
Year = {{2017}},
Volume = {{2}},
Number = {{2}},
Pages = {{546-553}},
Month = {{APR}},
Abstract = {{One of the core values of Industry 4.0 targets to integrate people's
   demand into manufacturing for enhanced products, systems, and services
   for a wider variety of increasingly personalized customization of
   products. Thus, Industry 4.0 advances the traditional manufacturing
   techniques from mass production toward mass customization (MC). Take
   wheel machining automation (WMA) as an example. To meet MC expectations,
   manufacturers should offer customized wheels at a large scale with low
   cost, short lead-time, and high quality. Thus, WMA cells with MC
   capability are requested to be designed to have a high degree of quick
   responsiveness to accurately react on machining-condition changes for
   manufacturing different wheel types. To meet the requirements of MC
   production, this work proposes to apply the automatic virtual metrology
   (AVM) system together with the so-called target-value-adjustment (TVA)
   scheme. The AVM system was developed by the authors to convert sampling
   inspections with metrology delay into real-time and on-line total
   inspection, while the TVA scheme is designed to enhance AVM's adaptive
   customization capability for automatically and rapidly accomplishing the
   goals of MC production. To demonstrate the versatility of the
   AVM-plus-TVA approach, the other example in semiconductor etching
   process is also illustrated.}},
Publisher = {{IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC}},
Address = {{445 HOES LANE, PISCATAWAY, NJ 08855-4141 USA}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Tieng, H (Reprint Author), Natl Cheng Kung Univ, Inst Mfg Informat \& Syst, Tainan, Taiwan.
   Tieng, Hao; Chen, Chun-Fang; Cheng, Fan-Tien, Natl Cheng Kung Univ, Inst Mfg Informat \& Syst, Tainan, Taiwan.
   Yang, Haw-Ching, Natl Kaohsiung First Univ Sci \& Technol, Inst Elect Engn, Kaohsiung, Taiwan.}},
DOI = {{10.1109/LRA.2016.2645507}},
ISSN = {{2377-3766}},
Keywords = {{Mass customization (MC); Industry 4.0; automatic virtual metrology
   (AVM); target value adjustment (TVA)}},
Keywords-Plus = {{TECHNOLOGY; SYSTEM}},
Research-Areas = {{Robotics}},
Web-of-Science-Categories  = {{Robotics}},
Author-Email = {{tototohao@super.ime.ncku.edu.tw
   yaya740117@gmail.com
   chengft@mail.ncku.edu.tw
   hao@nkfust.edu.tw}},
Funding-Acknowledgement = {{Ministry of Science and Technology of the Republic of China
   {[}MOST105-2221-E-006-255-MY3, MOST 105-2218-E-006-014]}},
Funding-Text = {{This work was supported by the Ministry of Science and Technology of the
   Republic of China under Contracts MOST105-2221-E-006-255-MY3 and MOST
   105-2218-E-006-014.}},
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Number-of-Cited-References = {{22}},
Times-Cited = {{3}},
Usage-Count-Last-180-days = {{4}},
Usage-Count-Since-2013 = {{9}},
Journal-ISO = {{IEEE Robot. Autom. Lett.}},
Doc-Delivery-Number = {{FK8DB}},
Unique-ID = {{ISI:000413736600023}},
DA = {{2018-07-05}},
}

@article{ ISI:000403048400029,
Author = {Ang, Joo Hock and Goh, Cindy and Saldivar, Alfredo Alan Flores and Li,
   Yun},
Title = {{Energy-Efficient Through-Life Smart Design, Manufacturing and Operation
   of Ships in an Industry 4.0 Environment}},
Journal = {{ENERGIES}},
Year = {{2017}},
Volume = {{10}},
Number = {{5}},
Month = {{MAY}},
Abstract = {{Energy efficiency is an important factor in the marine industry to help
   reduce manufacturing and operational costs as well as the impact on the
   environment. In the face of global competition and cost-effectiveness,
   ship builders and operators today require a major overhaul in the entire
   ship design, manufacturing and operation process to achieve these goals.
   This paper highlights smart design, manufacturing and operation as the
   way forward in an industry 4.0 (i4) era from designing for better energy
   efficiency to more intelligent ships and smart operation through-life.
   The paper (i) draws parallels between ship design, manufacturing and
   operation processes, (ii) identifies key challenges facing such a
   temporal (lifecycle) as opposed to spatial (mass) products, (iii)
   proposes a closed-loop ship lifecycle framework and (iv) outlines
   potential future directions in smart design, manufacturing and operation
   of ships in an industry 4.0 value chain so as to achieve more
   energy-efficient vessels. Through computational intelligence and
   cyber-physical integration, we envision that industry 4.0 can
   revolutionise ship design, manufacturing and operations in a smart
   product through-life process in the near future.}},
Publisher = {{MDPI AG}},
Address = {{ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND}},
Type = {{Review}},
Language = {{English}},
Affiliation = {{Ang, JH (Reprint Author), Sembcorp Marine Ltd, Singapore 628054, Singapore.
   Ang, JH; Li, Y (Reprint Author), Univ Glasgow, Sch Engn, Glasgow G12 8LT, Lanark, Scotland.
   Ang, Joo Hock, Sembcorp Marine Ltd, Singapore 628054, Singapore.
   Ang, Joo Hock; Goh, Cindy; Saldivar, Alfredo Alan Flores; Li, Yun, Univ Glasgow, Sch Engn, Glasgow G12 8LT, Lanark, Scotland.}},
DOI = {{10.3390/en10050610}},
Article-Number = {{610}},
ISSN = {{1996-1073}},
Keywords = {{energy efficiency; industry 4.0 (i4); smart design; smart manufacturing;
   through-life design; cyber-physical systems}},
Keywords-Plus = {{SYSTEMS; MANAGEMENT}},
Research-Areas = {{Energy \& Fuels}},
Web-of-Science-Categories  = {{Energy \& Fuels}},
Author-Email = {{joohock.ang@sembmarine.com
   cindy.goh@glasgow.ac.uk
   a.flores-saldivar@research.gla.ac.uk
   yun.li@glasgow.ac.uk}},
Funding-Acknowledgement = {{Economic Development Board (EDB) of Singapore and Sembcorp Marine Ltd.
   (SCM) under the Industrial Postgraduate Programme (IPP)
   {[}COY-15-IPP/140002]; Engineering and Physical Sciences Research
   Council (EPSRC) of the UK {[}EP/P001246]}},
Funding-Text = {{This research was funded by Economic Development Board (EDB) of
   Singapore and Sembcorp Marine Ltd. (SCM) under the Industrial
   Postgraduate Programme (IPP) Grant No. COY-15-IPP/140002, and by the
   Engineering and Physical Sciences Research Council (EPSRC) of the UK
   under Grant EP/P001246.}},
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Number-of-Cited-References = {{28}},
Times-Cited = {{1}},
Usage-Count-Last-180-days = {{5}},
Usage-Count-Since-2013 = {{41}},
Journal-ISO = {{Energies}},
Doc-Delivery-Number = {{EX2IA}},
Unique-ID = {{ISI:000403048400029}},
OA = {{gold}},
DA = {{2018-07-05}},
}

@article{ ISI:000404127800111,
Author = {Lin, Kuan Chung and Shyu, Joseph Z. and Ding, Kun},
Title = {{A Cross-Strait Comparison of Innovation Policy under Industry 4.0 and
   Sustainability Development Transition}},
Journal = {{SUSTAINABILITY}},
Year = {{2017}},
Volume = {{9}},
Number = {{5}},
Month = {{MAY}},
Abstract = {{While the advent of Industry 4.0 is emblematic of national strategy for
   industrial revitalization, the proliferation of technology has
   drastically changed the landscape of many major sectors of global
   industries. Industry 4.0 encompasses multi-dimensional
   concepts-including computerization, digitization, and
   intelligentization-of business operations based on
   cyber-physical-systems (CPS) and the Internet-of-Things (IoTs). The
   vision of Industry 4.0 will bring about improvements in industrial
   processes, ranging from engineering, material usage, supply chains, and
   product lifecycle management, to the horizontal value chain. This
   research project adopts a descriptive analysis with descriptive
   statistics under the innovation policy framework proposed by Rothwell
   and Zegveld. This report also informs a comparative policy analysis
   across China and Taiwan. From the perspectives of industry coalition and
   competition, this cross-strait comparison lends itself to being a
   policy-making reference. Results reveal that China, in terms of
   policy-making, concentrates on `political' and `legal/regulatory'
   aspects of environmental policy, as well as the theme of `public
   service' of the demand-side policy. Taiwan also emphasizes the
   `environmental-side' policy like China, whereas Taiwan focuses more on
   `education/training' of the supply-side policy.}},
Publisher = {{MDPI}},
Address = {{ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Lin, KC (Reprint Author), Natl Chiao Tung Univ, Inst Technol Management, 1001 Ta Hsueh Rd, Hsinchu 300, Taiwan.
   Lin, Kuan Chung; Shyu, Joseph Z., Natl Chiao Tung Univ, Inst Technol Management, 1001 Ta Hsueh Rd, Hsinchu 300, Taiwan.
   Shyu, Joseph Z.; Ding, Kun, Dalian Univ Technol, Sch Publ Management \& Law, 2 Linggong Rd, Dalian 116024, Liaoning, Peoples R China.}},
DOI = {{10.3390/su9050786}},
Article-Number = {{786}},
ISSN = {{2071-1050}},
Keywords = {{Industry 4.0; innovation policy; cross-strait sustainability
   development; industry revitalization}},
Keywords-Plus = {{TECHNOLOGY POLICY; RENEWABLE ENERGY; SYSTEMS}},
Research-Areas = {{Science \& Technology - Other Topics; Environmental Sciences \& Ecology}},
Web-of-Science-Categories  = {{GREEN \& SUSTAINABLE SCIENCE \& TECHNOLOGY; Environmental Sciences;
   Environmental Studies}},
Author-Email = {{kuanchunglin@gmail.com
   josephshyu@faculty.nctu.edu.tw
   dingk@dlut.edu.cn}},
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Number-of-Cited-References = {{51}},
Times-Cited = {{2}},
Usage-Count-Last-180-days = {{10}},
Usage-Count-Since-2013 = {{62}},
Journal-ISO = {{Sustainability}},
Doc-Delivery-Number = {{EY6XN}},
Unique-ID = {{ISI:000404127800111}},
OA = {{gold}},
DA = {{2018-07-05}},
}

@article{ ISI:000416759800002,
Author = {Tiraboschi, Michele},
Title = {{Research Work in the Industry 4.0 Era: The Italian Case}},
Journal = {{E-JOURNAL OF INTERNATIONAL AND COMPARATIVE LABOUR STUDIES}},
Year = {{2017}},
Volume = {{6}},
Number = {{2}},
Pages = {{13-61}},
Month = {{MAY-JUN}},
Abstract = {{This paper wants to contribute to providing a legal framework for
   research work carried out in companies and the private sector.
   Design/methodology/approach. After providing the theoretical framework,
   an analysis is supplied of all measures -including financial ones
   -related to the promotion of research work in companies and the private
   sector, more generally.
   Findings. The idea of research in Italy is still closely associated with
   academia and this might hamper the establishment of company-based
   researchers and cooperation between the public and the private sector,
   especially without the setting up of a legal and institutional framework
   that puts private research work on an equal footing with public
   research.
   Research limitations/implications. This research calls for the need to
   bring together academia and industry by putting in place a set of rules
   regulating research work at companies and in the private sector, more
   broadly, according to the European Charter for Researchers.
   Originality/value. For the first time in Italy, non-academic research
   work is analyzed in a systematic framework covering legislation and
   rules laid down by collective bargaining.
   Paper type. Theoretical and institutional}},
Publisher = {{ADAPT UNIV PRESS}},
Address = {{VIALE BERENGARIO, 51, MODENA, 41121, ITALY}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Tiraboschi, M (Reprint Author), Middlesex Univ, London, England.
   Tiraboschi, M (Reprint Author), ADAPT, Modena, Italy.
   Tiraboschi, Michele, Univ Modena \& Reggio Emilia, Labour Law, Modena, Italy.}},
ISSN = {{2280-4056}},
Keywords = {{Research work; Industry 4.0; Labour Law; Italy}},
Keywords-Plus = {{COLLABORATION; UNIVERSITY; MODEL}},
Research-Areas = {{Business \& Economics}},
Web-of-Science-Categories  = {{Industrial Relations \& Labor}},
Author-Email = {{tiraboschi@unimore.it}},
Funding-Acknowledgement = {{European Commission {[}201

license: MIT

license_type: permissive

branch_name: refs/heads/master

extension: bib